If you are a current employee of General Motors working in a per diem, hourly, or regular salaried role, you must apply through the internal careers page. Please navigate to https://workday.gm.com and search for GM Find Jobs.
The General Motors Manufacturing Group is seeking to identify highly motivated and qualified individuals for current and potential future opportunities as a Group Leader. In anticipation of these openings becoming available, we welcome you to apply so we can begin the pre-screening and interview process.
The Role:
The Maintenance Group Leader will be responsible for leading a group of skilled, hourly workers to troubleshoot and repair complex equipment and processes. This position requires the ongoing application and enforcement of the National and Local UAW Agreements. Candidates must possess technical expertise to oversee and support maintenance operations, exercising independent judgment within the framework of Global Manufacturing Systems, with a focus on Safety, People, Quality, Responsiveness, Cost, and Environment (SPQRCE)
Selected candidates will gain the chance to develop new skills while contributing to the advancement of manufacturing processes that support the groundbreaking shift toward electric and autonomous vehicles.
What You'll Do (Responsibilities):
Analyze and respond promptly to the manufacturing daily plan, making necessary adjustments to operations as required
Manage multiple tasks in a fast-paced environment with competing priorities
Drive accountability through people and processes which may require difficult conversations
Conduct appropriate checks and tests, and communicate evaluation of results
Proactively offers solutions to operational or technical issues
Perform preventative maintenance and diagnosis of equipment malfunctions
Maintains productivity and quality in line with organizational standards
Implement divisional and corporate policies and safety and good housekeeping practices
Maintain frequent contact and collaboration with others outside of the work group
Supervises the efficient use of labor, inventory, and machinery
Establish a course of action to accomplish completion of the job and/or project
Specific physical requirements of the position include the ability to:
Work in a loud manufacturing environment that may not be climate controlled (conditions can be hot or cold)
Possess good physical stamina and coordination to frequently and repetitively:
Bend, twist, kneel, crouch and reach to perform work
Lift or carry materials weighing up to 15 lbs. and periodically carry or lift materials weighing up to 40 lbs.
Walk and stand for prolonged periods of time
Occasionally sit, climb (including ladders and lifts) and drive vehicles and equipment
Read standardized work instructions, operate machines and tools, and perform quality inspections
Promptly detect and respond to safety instructions, alarms, and signals
Wear personal protective equipment, for example: safety glasses, gloves, hats, ear plugs, and safety shoes
Your Skills and Abilities (Required Qualifications):
One year of direct team supervisory experience or at least 5 months as an internal GM per diem group leader
Experience reading and understanding electrical, pneumatic, and hydraulic blueprints
Experience solving complex problems and working in a fast-paced environment
Strong interpersonal skills, experience managing conflict and decision making
Experience managing, leading people, and addressing performance concerns
Demonstrate a high analytical ability to solve complex problems
Basic computer proficiency (i.e., Microsoft Word, typing, email, etc.)
Must be willing to work rotating shifts
Must be available and willing to regularly work weekends to meet production demands, including approximately two weekends per month
18 years of age or older
High School Diploma or equivalent
What Can Give You a Competitive Edge (Preferred Qualifications):
Strong critical thinking and analytical skills
Experience working on multiple projects simultaneously
Willingness to ask questions, take initiative and be resourceful
High level of integrity, ability to deal with ambiguity, self-directed
Experience collaborating across multiple functions within a manufacturing setting
Every day, our products move millions of people as we aim to make driving safer, smarter, and more connected, shaping the future of transportation on a global scale.
Role:
As a Principal Technical Lead in the Embodied AI organization, you will be a senior individual contributor driving cutting-edge end-to-end machine learning solutions directly impacting autonomous driving performance. Your role is pivotal in designing, architecting, and deploying advanced ML models to reliably and safely navigate diverse real-world scenarios and conditions. You'll lead critical technical initiatives, collaborate closely with cross-functional teams, mentor ML engineers, and significantly shape the future of onboard ML capabilities.
What You'll Do:
Design and implement technologies that align our models to GM’s mission.
Apply techniques such as unsupervised pre-training, imitation learning, reinforcement learning, guidance, and selection to raise the performance of our models and provide a layer safety and reliability.
Collaborate with cross-functional teams to integrate & align distillation recipes of foundation models for onboard driving models.
Conduct research and stay updated on the latest advancements in AI frameworks and libraries.
Lead projects from ideation to deployment, documenting learnings and best practices along the way.
Mentor junior team members and contribute to a culture of knowledge sharing and continuous improvement.
Your Skills & Abilities:
Bachelor’s, Master’s or PhD degree in Computer Science with a focus in Robotics and or Machine Learning, or a related field.
Proven experience working with large-scale Foundation Models and alignment methods to translate research into real-world impact.
Proven experience delivering applied research in the wild and maintaining best practices while working on tight deadlines.
Proficiency in frameworks such as PyTorch and languages such as python.
Proven experience in building and scaling large model training pipelines that are performant and enable quick iteration by distributed teams.
Strong data processing skills using tools like Numpy, Pandas, and Apache Spark.
Excellent communication skills to effectively collaborate with diverse teams and stakeholders.
Experience deploying foundation models into production environments and understanding the end-to-end process.
Previous experience in Robotics or Autonomous Driving.
Remote: This role is based remotely but if you live within a 50-mile radius of Austin, Detroit, Warren, Milford or Mountain View, you are expected to report to that location three times per week, at minimum.
Compensation : The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of the California Bay Area.
The salary range for this role is $296,300.00 to $453,900.00. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.
Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.
Benefits:
Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.
This job may be eligible for relocation benefits.
Company Vehicle: Upon successful completion of a motor vehicle report review, you will be eligible to participate in a company vehicle evaluation program, through which you will be assigned a General Motors vehicle to drive and evaluate. Note: program participants are required to purchase/lease a qualifying GM vehicle every four years unless one of a limited number of exceptions applies.
#GM-AV-1
]]>If you are a current employee of General Motors working in a per diem, hourly, or regular salaried role, you must apply through the internal careers page. Please navigate to https://workday.gm.com and search for GM Find Jobs.
The General Motors Manufacturing Group is seeking to identify highly motivated and qualified individuals for current and potential future opportunities as a Group Leader. In anticipation of these openings becoming available, we welcome you to apply so we can begin the pre-screening and interview process.
Onsite: This role is categorized as onsite. This means the successful candidate is expected to report to Rochester, NY on a full-time basis.
The Role:
As a Group Leader in Production, Quality, or Global Supply Chain (GSC), you will be responsible for leading teams of employees or technical personnel to drive operational excellence across manufacturing processes. This includes managing daily operations, developing and improving business processes, and fostering a culture of teamwork and collaboration.
In this role, you may oversee production activities, quality assurance, inspection, problem-solving, and GM Built-in-Quality initiatives. You will be expected to apply independent judgment within the framework of Global Manufacturing Systems, with a strong focus on Safety, People, Quality, Responsiveness, Cost, and Environment (SPQRCE).
Selected candidates will gain the chance to develop new skills while contributing to the advancement of manufacturing processes that support the groundbreaking shift toward electric and autonomous vehicles.
What You'll Do (Responsibilities):
Specific physical requirements of the position include the ability to:
Your Skills and Abilities (Required Qualifications):
What Can Give You a Competitive Edge (Preferred Qualifications):
Compensation:
Benefits:
The General Motors Manufacturing Group is seeking to identify highly motivated and qualified individuals for current and potential future opportunities as a Group Leader. In anticipation of these openings becoming available, we welcome you to apply so we can begin the pre-screening and interview process.
The Role:
We are seeking a motivated and detail-oriented Entry-Level Group Leader to join our manufacturing team. This role supports production operations with a strong focus on quality, process control, and continuous improvement.
Selected candidates will gain the chance to develop new skills while contributing to the advancement of manufacturing processes, with opportunities to grow into expanded leadership roles and responsibilities over time.
What You'll Do (Responsibilities):
Analyze and respond promptly to the manufacturing daily plan, making necessary adjustments to operations as required
Manage multiple tasks in a fast-paced environment with competing priorities
Oversee production, inspection, and GM Built-in-Quality initiatives
Apply independent judgment within Global Manufacturing Systems, emphasizing Safety, People, Quality, Responsiveness, Cost, and Environment (SPQRCE).
Drive accountability through people and processes which may require difficult conversations
Specific physical requirements of the position include the ability to:
Work in a loud manufacturing environment that may not be climate controlled (conditions can be hot or cold)
Possess good physical stamina and coordination to frequently and repetitively:
Bend, twist, kneel, crouch and reach to perform work
Lift or carry materials weighing up to 15 lbs. and periodically carry or lift materials weighing up to 40 lbs.
Walk and stand for prolonged periods of time
Occasionally sit, climb (including ladders and lifts) and drive vehicles and equipment
Read standardized work instructions, operate machines and tools, and perform quality inspections
Promptly detect and respond to safety instructions, alarms, and signals
Wear personal protective equipment, for example: safety glasses, gloves, hats, ear plugs, and safety shoes
Your Skills and Abilities (Required Qualifications):
18+ years old
High school diploma or equivalent
Must be able and willing to work rotating shifts, weekends, and overtime when required
Satisfactorily complete drug testing and a background check
Proficiency to listen, read, follow work and safety instructions
Ability to solve complex problems and work in a fast-paced environment and make decisions in ambiguous fast-paced environment
Strong interpersonal skills and ability to manage conflict effectively
Basic computer proficiency (i.e., Microsoft applications, typing, email, etc.)
What Can Give You a Competitive Edge (Preferred Qualifications):
Experience in process engineering
Understanding of automotive manufacturing processes and production flow
Understanding of traceability requirements and data collection for commodities in assigned area
Experience supervising employees in a union environment
This job is not eligible for relocation benefits. Any relocation costs would be the responsibility of the selected candidate.
Compensation:
The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position, as well as geography of the selected candidate.
• The salary range for this role is $53,400.00 and $81,800.00 . The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.
• Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.
Benefits:
• Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.
The Role:
As Software Engineer on the Virtual Test Platforms team, you will help to define, implement, deploy and support a variety of virtualization technology related products and services to accelerate development of new vehicles and support existing ones while increasing quality, reliability, security, and diagnosability. You will do this in cooperation with teams and engineers across GM who deliver their code across a wide variety of embedded systems from small low-level controllers to large infotainment units and beyond.
As a developer in Virtual Test Platforms, you will help to shape the approach, and methods for using virtual test techniques at GM while also making significant contributions to the engineering system codebase. You will provide feedback, and assistance to your teammates helping everyone to achieve more. You will be expected to grow into a subject matter expert in virtualized testing of distributed embedded systems and share that knowledge with others. In short, you will help to improve the state of the art in virtual test of hardware and software at GM.
Key Responsibilities
Configure and customize virtual test environments including KVM, QEMU, and Android Emulators, and make these environments widely available using cloud services.
Help product teams integrate the virtual test environments into their developer inner-loop and CI/CD processes.
Author virtual devices to enhance virtual test coverage and fidelity including VirtIO Drivers.
Implement other custom test tools and simulators to enable higher test throughput and achieve quality faster.
Enhance collection, parsing, and reporting, of test results via reports and dashboards
Write production-quality code, prototypes, and reference implementations that unblock teams and demonstrate best practices.
Create and maintain reusable guidance, examples, and documentation that scale knowledge across GM’s engineering community.
Minimum Qualifications
Bachelor’s degree in computer science or related field OR equivalent work experience.
4+ years of professional software engineering experience, with a focus on building and operating production systems.
Strong proficiency in at least one native programming language including C, C++ Rust, and a willingness to learn others.
Experience automating testing of low level, embedded or mobile products at scale.
Demonstrated ability to deliver smoothly and quickly as part of a team in an area with high ambiguity.
Preferred Qualifications
Masters Computer Science or Computer Engineering.
7+ years of professional software engineering experience in systems, embedded, or mobile.
Experience configuring and customizing Emulators for test including QEMU or Android Emulators and VirtIO drivers.
#LI-SB3
Preferred Experience Includes:
Experience with planned maintenance systems and predictive technologies
Experience with industrial robotics, automation, and conveyance systems
Primary Responsibilities:
Follow established safety procedures according to OSHA standards and company procedures
Maintain, dismantle, repair, and replace mechanical and hydraulic components (e. g. bearings, seals, details, carriers, etc.) on industrial machinery such as shafting, motors, generators, air compressors, engines, pumps, cylinders, gears, couplings, linkages, ball screws, high speed CNC spindles, coolant systems and filters, and combustion equipment and valves
Layout, assemble, fabricate, maintain, and repair piping systems
Use various hand or power tools for measuring, cutting, threading, grooving, bending, soldering, assembling, joining, and installing pipes, valves, and fittings
Read and interpret blueprints for the mechanical operation and assembly of conveyor systems, material handling systems, robots, and other automation
Operate mobile equipment (e.g. forklifts, vertical lifts, cranes)
Determine loading requirements to rig equipment and material for lifting
Set up and operate conventional or computer numerically controlled (CNC) machine tools such as lathes, milling machines, and grinders to cut, bore, grind, or otherwise shape parts to prescribed dimensions and finishes
Fabricate punches, tools, steel rule tools and t-sets to exact specifications
Plan sequences of operations for fabricating tools or assemblies using blueprints, sketches, or models
Determine quality of finished products, ensuring defect-free parts, by verifying dimensions, alignment, and clearances for conformance to specifications using measuring instruments such as calipers, gauge blocks, micrometers, and dial indicators
Interested individuals must meet the following minimum qualifications:
General Motors UAW hourly employment offers a very competitive compensation and benefit package. An annual incentive payout is also available, as qualified.
Relocation and travel expenses will be the responsibility of the applicant.
Physical Requirements
Please note – per the labor agreement between GM and the UAW, GM may share information and documentation relating to the credentials of applicants for this position (e.g., resumes, journeyperson cards, interview notes, certificates, etc.) with UAW personnel who have a need to know as part of their role on the UAW skilled trades team.
]]>The Role
General Motors pioneers the innovations that move and connect people to what matters. We see a world with zero crashes, zero emissions, and zero congestion. Autonomous vehicles are central to achieving this vision—where long‑term innovation meets safety, customer trust, and durable competitive advantage.
The Autonomous Vehicle (AV) Product Management organization is responsible for defining and delivering GM’s autonomous driving roadmap—from near‑term customer value to long‑term eyes‑off autonomy at scale. Our mission is to deploy autonomy deliberately and profitably across GM’s portfolio, leveraging common platforms, data, and disciplined product strategy to improve safety, unlock new customer value, and create sustainable business outcomes globally.
As a Senior Product Manager for Evaluation Applications, you will define and execute the strategy and roadmap for our test and evaluation platform that powers test case and suite management, test triggering and execution, and self-service analysis workflows across GMs’ next generation autonomy teams. This role will drive innovation in how we manage and scale evaluation workflows end to end — from onboarding and organizing millions of scenarios to triggering tens of thousands of tests per request and supporting the infrastructure that transforms raw results into meaningful performance insights. You will enable high-fidelity, scalable, and trustworthy testing and analysis of GM’s next-generation autonomy and ADAS features by providing a unified platform.
Success requires strong technical judgment, principled decision-making, and the ability to build alignment across engineering, product, infrastructure, and operations teams. You should be comfortable navigating ambiguity, making tough tradeoffs, and thinking both from first principles and at fleet-wide scale
What You’ll Do
Own the long-term product vision, setting strategic direction for simulation evaluation applications across multiple autonomy capabilities, vehicle models and simulation modalities aligning with broader company goals.
Drive a unified platform roadmap across test management, triggering/execution, and analysis/evaluation—ensuring cohesive end-to-end workflows for internal customers.
Develop and implement strategies for systems and processes capable of evaluating simulated driving to predict on-road performance as well as evaluate on-road driving.
Lead a cross-functional team of stakeholders encompassing Embodied AI, Software Validation, Safety, Program, and Product Managers towards highly scalable, reliable and insightful end-to-end evaluation platform.
Act as the voice of the customers from the multiple internal GM teams across development to validation, ensuring evaluation applications not just meet the needs of the customers but delight them by pushing the envelope on the insights that are possible and their scale.
Help drive a data-driven culture and establish and monitor key metrics to
measure the effectiveness of the Simulation Evaluation products
Your Skills & Abilities (Required Qualifications)
5+ years product management experience.
Bachelor's degree in Engineering, Data Science, or related fields.
Solid understanding of the modern data and analytics technology stack, including cloud data and data infrastructure
Ability to navigate ambiguity and drive projects forward, even without a clear path.
Strong sense of accountability and ownership
Proven ability to balance tradeoffs between user needs and
expectations, technical requirements and constraints and business objectives.
Demonstrated expertise in writing, with the ability to effectively balance and integrate vision, strategy, and technical details in a cohesive narrative.
What Will Give You a Competitive Edge (Preferred Qualifications)
An MBA or a master's Degree in a technical or engineering discipline
Experience working on evaluation, data and metric products and pipelines.
Experience managing products focused on ML model development and evaluation
Hybrid: This role is categorized as hybrid. This means the successful candidate is expected to report to the Warren, MI or Sunnyvale, CA office three times per week, at minimum.
The General Motors Global IT Organization is seeking to identify highly motivated and qualified individuals for potential future opportunities as a Senior Software Engineer - SAP Developer. In anticipation of these opportunities becoming available, if you are interested in learning more about GM, completing this profile will allow us to stay connected.
Location: Warren, MI or Austin, TX
The Role
We are seeking a highly skilled and experienced Senior Software Engineer specializing in SAP Development to join our IT team. As a Senior Software Engineer, you will be responsible for designing, developing, and maintaining SAP applications and solutions. You will collaborate with cross-functional teams to analyze business requirements, design technical solutions, ensure the successful implementation of SAP projects and drive operational efficiency. The ideal candidate will possess deep technical expertise in SAP technologies, demonstrate a proven track record of successful SAP project implementations, exhibit strong problem-solving abilities, and a passion for delivering high-quality software solutions.
What You'll Do:
Your Skills & Abilities (Required Qualifications):
What Will Give You A Competitive Edge (Preferred Qualifications):
Hybrid:
This role is categorized as hybrid. The successful candidate is expected to report to Warren, MI or Austin, TX, three times per week, at minimum, or as dictated by business needs.
The General Motors Global Purchasing and Supply Chain (GPSC) organization is seeking to identify highly motivated and qualified individuals for current or future Senior Global Sourcing Manager roles
Selected candidates will be invited to join one of the following areas within the GPSC organization:
The ideal candidate will be comfortable operating autonomously, solving problems independently, prioritizing tasks that maximize enterprise value for General Motors and the Global Purchasing and Supply Chain (GPSC) function.
Skills & Abilities (Required Qualifications)
What Can Give You a Competitive Edge (Preferred Qualifications)
Every day, our products move millions of people as we aim to make driving safer, smarter, and more connected, shaping the future of transportation on a global scale.
The Role
The Senior Analysis Engineer is responsible for planning, developing, and executing one-dimensional models of electrical components, subsystems, and full vehicle architectures for 12V/48V electrical systems. This role requires a deep understanding of vehicle-level electrical systems and proficiency in simulation tools such as Synopsys Saber. The senior analysis engineer is also required to have experience is co-simulation and software in the loop (SiL) modeling using tools like Matlab, Simulink and Simscape. The analysis engineer needs to closely work with suppliers to get high fidelity 12V component models (e.g battery, IBS, aggregator, CCU etc).
The analysis engineer will create systems model, perform simulation, interpret and present simulation results to stakeholders at critical program milestones. Analysis engineer will be required to interact cross functionally with a wide variety of engineering teams (Electrical Architects, Co-simulation teams, Validation, Calibration and Design Release Engineers) to deliver standard work, perform root cause analysis, compare analytical results to tests, identify analytical gaps and lead capability projects to close these gaps.
What You'll Do
Lead effort to develop new analysis capabilities for 12V/48V electrical systems including, but not limited to, developing 12V battery model, 12V distribution model, aggregator model and other electrical components on the vehicle
Develop physics-based models for co-sim and software in the loop effort
Develop vehicle electrical and battery electro-thermal models to support virtual controls for Co-Sim and calibration initiatives
Perform standard analysis to deliver design solutions which are robust and reliable utilizing optimization and statistical methods when appropriate
Collaborate with global analysis engineers to ensure on time delivery of high-quality results
Lead and conduct peer reviews of analysis results prior to delivery to the product team
Work collaboratively with Electrical Architects, SiL teams and component hardware design teams to ensure system requirements are met, design concepts are evaluated, and development and validation plans are successful
Collaborate with other CAE teams to capture and integrate higher fidelity models into electrical system models
Support critical vehicle program gates with technical reviews (PPDRs, VVAs, Peer Reviews)
Your Skills & Abilities (Required Qualifications)
BS in Electrical Engineering, Computer Engineering or Controls engineering
5+ yrs of engineering experience in design, analysis or testing of 12V/48V electrical system or components
Proficient in Synopsys Saber simulator, MAST modeling language, and electrical data analysis tools including MATLAB, Simulink, and Simscape
Skilled in developing models for Software-in-the-Loop (SiL) simulations
Experience with FMUs (Functional Mockup Unit) and co-simulation
Hands-on experience with Charge Balance, Fail-Operational, Bus Integrity, Short Circuit and other 12V/48V Component Sizing simulations
Strong foundation in engineering principles related to electric circuit analysis, electronics, electromagnetics, electric drive systems, control systems, and digital signal processing
Experienced in analytical modeling of electric generators, batteries, heating and cooling systems, lighting systems, and electronic controllers
Experience in applying Artificial Intelligence (AI)/Machine Learning (ML) methods
Excellent debugging and troubleshooting capabilities
What Will Give You A Competitive Edge (Preferred Qualifications)
M.S. or PhD in Electrical Engineering, Computer Engineering or Physics
Experience with development and usage of CAE/CAD tools
Knowledge of Lithium-ion battery cell modeling and simulation Modeling (or other cell chemistries: Lead Acid, etc.).
DFSS Black Belt or higher certification
Experience in designing and implementing GUI (Graphical User Interface) as well as core software for technical applications with schematic interfaces
About the Mission
GM’s vision of Zero Crashes, Zero Emissions, and Zero Congestion guides everything we do in autonomous and assisted driving. The AV organization is building advanced automated driving technologies, including Level 4–capable fully self-driving systems, to move us toward safer, more sustainable, and more accessible mobility.
For the AI Kernels & Compilers team, that mission shows up in the details: turning cutting‑edge perception, prediction, and planning research into production‑grade software that can run efficiently and reliably on real vehicles at scale. We pioneer new approaches to model export, kernel development, and performance engineering so that every cycle on our accelerators translates into better situational awareness, faster reaction times, and more robust behavior on the road.
If you want your compiler and kernels work to directly influence how automated vehicles understand and react to the world — while operating at the safety, reliability and scale of a company like GM — this is where that impact becomes real.
About the Team
The AI Compiler team sits at the heart of how advanced AI models make it onto the car. We own the compiler that turns high‑level models into fast, reliable inference across GPUs powering GM’s next‑generation autonomous and assisted driving features.
Our work spans graph lowering, operator coverage, kernel integration, and deployment tooling, with a mandate to squeeze every millisecond out of on‑vehicle workloads while preserving correctness and robustness in real‑world conditions. We partner closely with AI Deployments, AI Solutions, Runtime, and AI Kernels teams to co‑design a platform that enables new ideas in research to be quickly and safely shipped to production fleets.
You’ll join a group of deep compiler, systems, and GPU engineers who enjoy working on hard problems, and diving into MLIR/ONNX and CUDA/TensorRT internals. We value clear thinking, strong engineering fundamentals, and a culture where people can do the best work of their careers on problems that directly shape the future of automated driving.
The Role
As a Senior Compiler Engineer on the AI Kernels & Compilers team, you will work on the compilation stack that takes high‑level models and turns them into highly optimized inference artifacts running on GM’s autonomous and assisted driving platforms. You’ll be a key contributor to a pipeline and tooling that makes that path fast, reliable, and effortless for ML engineers across the AV organization to compile their models.
You will work on an evolving a state-of-the-art model export and compilation pipeline—from capturing high‑level model graphs, through intermediate representations and compiler transforms, into accelerator‑specific inference engines and their integration with our runtime— so that we can simultaneously optimize compilation throughput, model fidelity, and on‑vehicle latency. Along the way, you’ll build robust tooling to validate numerical correctness, detect and bisect performance regressions, and surface clear, actionable diagnostics back to model authors.
If you want to work at the intersection of compilers, performance engineering, and real‑world autonomy , this role puts your decisions directly on the critical path of what runs on the car.
What you’ll be doing (Responsibilities)
Build and evolve the model compilation toolchain used to deploy large‑scale perception, prediction, and planning models to the AV.
Architect new compiler passes and analysis that improve build times, memory footprint, and runtime latency while preserving—or intentionally trading off—fidelity under strict safety and reliability constraints.
Collaborate closely with kernels, runtime, and hardware teams to co‑design interfaces, shape accelerator capabilities, and ensure the compiler exposes the right abstractions to unlock peak performance on each platform.
Set standards and best practices for model export, validation, and debugging so that AV teams can iterate quickly with clear, reproducible performance and accuracy characteristics.
Your Skills & Abilities (Required Qualifications)
3+ years of experience in the field of compilers
Experience with ML frameworks (e.g., PyTorch, TensorFlow, JAX) and software stack (e.g., ONNX, MLIR, XLA, TVM, TensorRT, etc)
Expertise in writing production quality Python/C++ code
Expertise in the software development life-cycle - coding, debugging, optimization, testing, integration
BS, or higher degree, in CS/CE/EE, or equivalent
What Will Give You A Competitive Edge (Preferred Qualifications)
Experience building and optimizing ONNX‑based model export and deployment pipelines
GPU programming (CUDA) and familiarity with ML SW stack (e.g., cuDNN, cuBLAS)
Experience with ML accelerators and hardware architecture
Experience developing and deploying machine learning models
Compensation: The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of New York, Colorado, California, or Washington.
The salary range for this role: is $128,700 to $261,300. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.
Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.
Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.
#GM-AV-1
Your Skills & Abilities (Required Qualifications)
What Will Give You A Competitive Edge (Preferred Qualifications)
Sponsorship: GM DOES NOT PROVIDE IMMIGRATION-RELATED SPONSORSHIP FOR THIS ROLE. DO NOT APPLY FOR THIS ROLE IF YOU WILL NEED GM IMMIGRATION SPONSORSHIP (e.g., H-1B, TN, STEM OPT, etc.) NOW OR IN THE FUTURE.
]]> This posting is for an existing vacancy within the organization and is open to new applications. (Backfill)
AI Disclosure:
As part of the application process, Artificial Intelligence will be used in the hiring process for this role
Hybrid:
This role is categorized as hybrid. This means the successful candidate is expected to report to Markham Elevation Center three times per week, at minimum [or other frequency dictated by the business].
About the Role:
GM is looking to hire a Senior Android Software Engineer to lead design, development, and long‑term maintenance of in‑vehicle infotainment (IVI) apps on Android Automotive OS (AAOS) for GM’s next‑generation software‑defined vehicles. The engineer will own major features end‑to‑end (architecture, implementation, validation, launch, OTA) and set the bar for safety, performance, reliability, and maintainability across Vehicle Applications & Services, with software deployed at scale across global fleets.
What You'll Do
Your Skills & Abilities (Required Qualifications)
What Will Give You a Competitive Edge (Preferred Qualifications)
Compensation:
The salary range for this role is $ 115,000 to $ 164,600. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.
GM DOES NOT PROVIDE IMMIGRATION-RELATED SPONSORSHIP FOR THIS ROLE. DO NOT APPLY FOR THIS ROLE IF YOU WILL NEED GM IMMIGRATION SPONSORSHIP NOW OR IN THE FUTURE
Benefits:
The goal of the General Motors of Canada total rewards program is to support the health and well-being of you and your family. Our comprehensive compensation plan currently includes the following benefits, in addition to many others:
You will help shape display UX for automotive applications, with emphasis on head up displays, novel display concepts, display evaluation, driver monitoring informed interfaces, and related perceptual research that can guide future GM products.
In this position, you will work closely with GM internal customers and external partners to turn research insights into testable concepts, prototypes, and high value recommendations for future production systems.
This is a one-of-a-kind position to work do extremely interesting research with a highly talented cross-disciplinary team.
What you'll do
Required qualifications
Preferred qualifications
General Motors is expanding its in-house electronics capabilities to support next-generation Central Compute, ADAS, and software-defined vehicle platforms. The Senior Electrical Hardware Engineer will contribute across electrical architecture, circuit design, hardware integration, and validation to deliver robust, production-ready ECUs.
This role requires strong electrical engineering fundamentals combined with system-level thinking. The engineer will work across schematic development, component selection, layout guidance, electrical analysis, bring-up, and hardware/software interface definition.
Hardware Architecture & Design
Electrical Analysis & Robustness
Hardware Bring-Up & Debug
Hardware–Software Interface & System Integration
Verification & Cross-Functional Collaboration
Required Qualifications
Preferred Qualifications
What We Offer
Compensation: The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position, as well as geography of the selected candidate.
• The salary range for this role is ($125,200 to $192,700). The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.
• Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.
Benefits:
• Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.
#LI-JK3
]]>About Us
The AI Cloud and Developer Infrastructure organization is responsible for delivering and maintaining the tools and services engineers here at GM use every day to do their best work and drive our cars forward. Tools and services we work on enhancing the entire development process of engineers at GM — how/where code is checked out, modified, compiled, tested, merged, and eventually deployed. Our goal is to ensure our AV engineers and others here have world class tools and a seamless development experience so that they can focus on the problems that matter most in their domain.
The Role
We are looking for a Staff Engineer with an extensive engineering background, experience using a variety of developer tools and technologies, and who is passionate about developer productivity. As a leader on this team, we are looking for someone who cares deeply about the technical development of other engineers on the team and can effectively balance the needs and priorities of the business, our users, and the growth of our engineers.
The way this engineer will deliver impact may vary depending on the situation, but they will be expected to be able to identify how they can best have impact with minimal guidance.
The Team
The Continuous Integration (CI) Platform team owns our CI infrastructure along with the tools that improve the CI customer experience. We are part of the AI and Cloud Developer Productivity Organization and own the building blocks to produce high quality CI experiences and workflows. This includes services such as the Remote Build Execution (RBE) service which allows GM AI to reliably test at scale and the build artifact storage which is a FUSE based network file system used in conjunction with RBE. Our goal is to accelerate AV development by supporting developer workflows for building, testing, and releasing software.
What You’ll Do (Responsibilities)
Identify engineering pain points and propose/design/implement solutions that are reliable, scalable, and maintainable
Influence the team’s technical roadmap
Evaluate new tools and technologies through PoCs
Ship improvements to our AV development toolchains and services which have a measurable and direct impact on engineering productivity and our core company metrics
Drive software engineering best practices within your team, and create tooling which encourages these
Help steer the engineering culture on the team
Guide the team to find the right balance between delivering impact and addressing technical debt
Mentor and grow engineers on the team
Set the example for high levels of accountability
Execute and deliver impact both individually and through the team
Set strong boundaries when selecting external requests and pushing back on requests that do not align with our team vision
Minimum Qualifications (Must-Have)
7+ years of experience designing, building and operating production systems at scale in the cloud
Bachelors Degree in Computer Science or related field or equivalent work experience
Experience designing highly scalable, reliable, and maintainable services
Experience writing in Go, Python, or other languages at production scale
Understanding of Unix/Linux, SSH, and networking fundamentals
Attention to detail, and a desire to improve processes and systems around you
Ability to lead and influence others, both internal and external to the team
Ability to research, document, communicate, and defend proposals, and provide and take critical feedback
Ability to effectively make trade-offs and communicate the reasoning
Ability to manage competing priorities, focus on shipping, and work effectively under pressure
Passion for mentoring and growing junior engineers
Passion for self-driving technology and its potential impact on the world
Preferred Qualifications (Nice-to-Have)
Experience working with GCP
Experience working with Docker and Kubernetes
Experience owning or contributing to Open-Source projects
Compensation: The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of New York, Colorado, California, or Washington.
The salary range for this role: is $218,800 to $335,300. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.
Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.
Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.
#GM-AV-1
This function includes areas such as static application security testing, dynamic application security testing, API security, AI security, and runtime resilience. This role is ideal for a leader who can help scale practical, developer-friendly security across modern software environments while improving risk reduction, coverage, and engineering partnership.
The Role
As Manager, Secure Development & Application Security, you will lead a distinct Cybersecurity function responsible for improving how secure software is designed, built, tested, and operated across GM. You will translate strategy into clear direction for teams, set priorities, allocate resources, and own the operational performance of the function. You will partner closely with engineering, platform, product, infrastructure, and other security teams to embed practical, developer-friendly controls that reduce risk without slowing delivery. You will help shape scalable security services and workflows that improve consistency across the software lifecycle. This is a high-impact leadership role for someone who can build strong teams, influence across organizations, and lead change through measurable outcomes.
What You’ll Do
Your Skills & Abilities (Required Qualifications)
What Will Give You A Competitive Edge (Preferred Qualifications)
General Motors has a need for qualified Mechanical Journeypersons (Millwrights). You will work under minimal supervision with a high level of independent judgement and problem solving. You should be flexible enough to take on and tackle multiple job assignments in a shift.
Preferred Experience Includes:
Experience with planned maintenance systems and predictive technologies
Experience with industrial robotics, automation, and conveyance systems
Primary Responsibilities:
Follow established safety procedures according to OSHA standards and company procedures
Maintain, dismantle, repair, and replace mechanical and hydraulic components (e. g. bearings, seals, details, carriers, etc.) on industrial machinery such as shafting, motors, generators, air compressors, engines, pumps, cylinders, gears, couplings, linkages, ball screws, high speed CNC spindles, coolant systems and filters, and combustion equipment and valves
Layout, assemble, fabricate, maintain, and repair piping systems
Use various hand or power tools for measuring, cutting, threading, grooving, bending, soldering, assembling, joining, and installing pipes, valves, and fittings
Read and interpret blueprints for the mechanical operation and assembly of conveyor systems, material handling systems, robots, and other automation
Operate mobile equipment (e.g. forklifts, vertical lifts, cranes)
Determine loading requirements to rig equipment and material for lifting
Set up and operate conventional or computer numerically controlled (CNC) machine tools such as lathes, milling machines, and grinders to cut, bore, grind, or otherwise shape parts to prescribed dimensions and finishes
Fabricate punches, tools, steel rule tools and t-sets to exact specifications
Plan sequences of operations for fabricating tools or assemblies using blueprints, sketches, or models
Determine quality of finished products, ensuring defect-free parts, by verifying dimensions, alignment, and clearances for conformance to specifications using measuring instruments such as calipers, gauge blocks, micrometers, and dial indicator
Interested individuals must meet the following minimum qualifications:
If you are a current GM employee operating under a collective bargaining agreement, please contact your local HR/LR for employee placement opportunities.
This position may be filled with a Journeyperson or Journeyperson In Training, the compensation ranges for a JIT include ($37.78 - 44.08) or Journeyperson rate of ($44.98). Certificates/credentials and scoring in interview will determine your status and pay.
Physical Requirements:
General Motors UAW hourly employment offers a very competitive compensation and benefit package. An annual incentive payout is also available, as qualified.
Relocation and travel expenses will be the responsibility of the applicant.
Please note – per the labor agreement between GM and the UAW, GM may share information and documentation relating to the credentials of applicants for this position (e.g., resumes, journeyperson cards, interview notes, certificates, etc.) with UAW personnel who have a need to know as part of their role on the UAW skilled trades team.
General Motors is at the forefront of the transformation of automotive with the electrification of our portfolio and the development of leading-edge central compute and autonomous capabilities. Our CCH (Central Compute Hardware) Mechanical Design team is a dynamic, high-energy, and innovative group focused on developing enclosures for next generation ECUs (Electronic Control Units) commonly shared across both future ICE and EV vehicles manufactured by GM. The team is responsible for developing Mechanical, EMI and Thermal design of new compute related electronics, with math, CAD and analysis. The team also reviews and approves production design changes.
We are seeking a high-performing Mechanical Design Engineer interested in leading the in-house development of GM SDV (Software Defined Vehicle) electronics design and engineering. You will be responsible for the mechanical design, development, and review of Electrical Controllers, for our next generation SDV architecture. You will be depended upon to build strong partnerships with internal and external stakeholders and cross functional peers.
Compensation: The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position, as well as geography of the selected candidate.
• The salary range for this role is (159,400 - 245,000). The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.
• Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.
Benefits:
• Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.
#LI-JK3
]]>REQUIREMENTS : Bachelor's degree in Computer Science, Electronics Engineering, Engineering Technology, or related field of study. Five (5) years of experience as a Senior Systems Engineer or related occupation. OR Master's degree in Computer Science, Electronics Engineering, Engineering Technology, or related field of study. Two (2) years of experience as a Senior Systems Engineer or related occupation. Two (2) years of experience with the following: Embedded controls requirements development architecture development and systems engineering; Process large amounts of information flow identify multiple parameters interdependencies and inconsistencies to provide both high-level systems overview and domain expertise; Major vehicle systems; and Systems Engineering principles and successful implementations. Six (6) months of experience with the following: Vehicle electrical architectures communication protocols and ECU wakeup strategies.
#LI-DNI
]]>Hybrid:
This position does not require an employee to be on-site full-time to perform most effectively. This position requires an employee to be onsite three days per week.
Our Mission:
At General Motors, our product teams are redefining mobility. Through a human-centered design process, we create vehicles and experiences that are designed not just to be seen, but to be felt. We’re turning today’s impossible into tomorrow’s standard —from breakthrough hardware and battery systems to intuitive design, intelligent software, and next-generation safety and entertainment features.
Every day, our products move millions of people as we aim to make driving safer, smarter, and more connected, shaping the future of transportation on a global scale.
The Role:
In this role, you will be responsible for leading new audio architecture product development and integration activities. You will also develop new audio system architecture and strategy followed by design, development, validation and release of Audio Systems into General Motors vehicles across the globe. The components released may include Speakers, Audio DSP Module, Amplifiers, PFAF Modules/Speakers, and Microphones. Ready for the challenge? Apply today!
What You'll Do:
At this level you are expected to operate with a high level of independent discernment and are typically responsible for implementing functional strategy, administering and coordinating programs, counseling and advising management.
As a fully-qualified individual contributor who has thorough knowledge and understanding of all aspects of the function, you will provide expert judgment and analysis for the design, development and implementation of technical products and systems.
Resolve highly complex technical issues and conducts advanced research.
Recommend alterations to development and design to improve quality of products and/or procedures.
Skilled and proficient with a variety of the field's concepts, practices, and procedures.
Rely mostly on extensive personal experience and discernment to plan and accomplish goals.
You will perform multiple tasks. Lead and likely direct the work of others. A wide degree of creativity and latitude is expected.
Your Skills & Abilities (Required Qualifications):
What Will Give You A Competitive Edge (Preferred Skills):
Benefits:
GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.
Relocation/Travel:
This job may be eligible for relocation benefits.
The selected candidate will be required to travel <25% for this role.
]]>Hybrid:
This role is categorized as hybrid. The selected candidate is expected to report to Warren, MI or Sunnyvale, CA at least three days per week (Tuesday–Thursday).
Our Mission:
At General Motors, our product teams are redefining mobility. Through a human-centered design process, we create vehicles and experiences that are designed not just to be seen, but to be felt. We’re turning today’s impossible into tomorrow’s standard —from breakthrough hardware and battery systems to intuitive design, intelligent software, and next-generation safety and entertainment features.
Every day, our products move millions of people as we aim to make driving safer, smarter, and more connected, shaping the future of transportation on a global scale.
The Ideal Candidate:
Connectivity is a foundational enabler of modern vehicle platforms, powering safety, autonomy, infotainment, and cloud-connected services. We are seeking a Staff Hardware Engineer to define and drive the architecture, integration, and execution of next-generation connectivity platforms across GM vehicle lines.
Recognized technical leader with deep expertise in system architecture, high-speed design, and multi-domain integration.
Operates effectively across hardware, firmware, RF, and system software, influencing decisions at the platform level.
Proven ability to lead through ambiguity, drive alignment across organizations, and resolve complex, cross-functional system challenges.
Demonstrates ownership beyond individual programs, shaping best practices, design methodologies, and long-term technology strategy.
The Role:
The Staff Hardware Engineer will own the system architecture and technical direction for connectivity modules across multiple vehicle platforms. This includes defining scalable architectures, guiding implementation across teams, and ensuring robust system performance from concept through production and field deployment.
This role requires end-to-end ownership with broad organizational impact, including collaboration with silicon vendors, platform software, RF, mechanical, thermal, manufacturing, and validation teams.
What You’ll Do:
Architecture & Technical Leadership
Define and own system architecture for connectivity platforms, including SoC selection, memory (LPDDR), power architecture, and high-speed interfaces (PCIe, USB, Ethernet).
Drive platform-level design decisions and tradeoffs across performance, power, cost, reliability, and scalability.
Establish design guidelines, reference architectures, and best practices for hardware development across programs.
Influence technology roadmap decisions in partnership with silicon vendors and internal stakeholders.
Design Execution & Integration
Guide schematic design and PCB layout across teams, ensuring best-in-class SI/PI, RF coexistence, and manufacturability.
Oversee and unblock board bring-up and system integration, including power sequencing, clocking, reset, and boot initialization.
Drive multi-domain system integration across hardware, firmware, RF, and mechanical disciplines.
System Debug & Validation
Lead root-cause analysis of complex system-level issues spanning silicon, hardware, RF, and software interactions.
Define and review validation strategy and coverage to ensure robustness across corner cases and environmental conditions.
Debug advanced issues such as RF desense, power integrity coupling, and high-speed signal degradation.
Utilize advanced lab tools (oscilloscopes, VNAs, spectrum analyzers, logic analyzers) for deep system characterization.
Cross-Functional & External Leadership
Act as the primary technical interface with key silicon vendors (e.g., Qualcomm, NXP, TI) to influence design and resolve issues.
Partner with firmware/software teams to enable platform functionality and optimize system performance.
Drive alignment across global teams and influence decision-making at the platform and organizational level.
Mentorship & Organizational Impact
Mentor and elevate engineers across the team, providing guidance on architecture, debugging, and design rigor.
Lead technical reviews and raise the bar on engineering quality.
Contribute to building a scalable and repeatable hardware development framework.
Your Skills & Abilities (Required Qualifications ):
Bachelor’s degree in Electrical Engineering, Computer Engineering, Computer Science or related field.
8+ years of experience in hardware development with significant focus on system architecture and integration.
Deep expertise in SoC-based system design, including power architecture, clocks, resets, and boot flows.
Strong experience with high-speed digital design (PCIe, USB, Ethernet, LPDDR) and associated SI/PI considerations.
Proven track record of solving complex system-level issues across hardware, firmware, and RF domains.
Experience with power delivery design, PMICs, low-power architectures, and sleep/wake strategies.
Demonstrated ability to lead technical direction across teams and influence without authority.
Strong analytical and problem-solving skills in highly ambiguous environments.
What Will Give You A Competitive Edge (Preferred Qualifications):
Master’s or PhD in Electrical Engineering or related field.
10+ years of experience in hardware development with significant focus on system architecture and integration.
Experience with wireless technologies (Wi-Fi, Bluetooth, cellular, GNSS) and RF/system coexistence challenges.
Automotive experience including EMI/EMC, environmental, and reliability validation.
Experience driving products through production ramp and field issue resolution.
Familiarity with functional safety, cybersecurity, or automotive networking architectures is a plus.
Benefits:
GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.
Relocation:
This job may be eligible for relocation benefits.
The selected candidate will be required to travel <25% for this role.
Company Vehicle:
Upon successful completion of a motor vehicle report review, you will be eligible to participate in a company vehicle evaluation program, through which you will be assigned a General Motors vehicle to drive and evaluate. Note: program participants are required to purchase/lease a qualifying GM vehicle every four years unless one of a limited number of exceptions applies.
The Cyber Detection Event Analyst plays a critical role in General Motors' Security Operations organization by helping identify, investigate, and improve the detection of cyber threats across a complex global enterprise. This role supports the technologies, analytics, and operational processes that enable GM to detect malicious activity across endpoint, network, cloud, identity, application and manufacturing environments.
As a member of the Cyber Detection team, you will analyze security events, investigate suspicious activity, and contribute to the development and improvement of detection capabilities across Security Information and Event Management (SIEM), Endpoint Detection and Response (EDR), Network Detection and Response (NDR), Security Orchestration, Automation and Response (SOAR), and cloud-native security platforms. You will apply threat intelligence, operational context, and analytical techniques to identify meaningful threats while reducing false positives and improving detection quality.
This role requires strong technical curiosity, investigative skills, and the ability to work collaboratively across Cyber Security teams. You will help strengthen GM's ability to detect, analyze, and respond to cyber threats while gaining experience across modern security technologies, automation, threat detection engineering, and AI-enabled security operations.
What You'll Do
Your Skills & Abilities (Required Qualifications)
What Can Give You a Competitive Advantage (Preferred Qualifications)
What You'll Bring
#LI-SB3
]]>As a Senior Cyber Detection Incident Analyst, you will play a critical role in protecting General Motors' global enterprise by identifying, analyzing, and helping mitigate advanced cyber threats across cloud, identity, endpoint, network, application, and manufacturing ecosystems.
You will serve as a senior technical leader within the Cyber Detection organization, driving detection engineering initiatives, leading complex investigations, and continuously improving the technologies, analytics, and processes used to identify malicious activity. This role combines deep technical expertise, threat-focused analysis, and cross-functional collaboration to enhance GM's overall cybersecurity posture.
The ideal candidate possesses a passion for cyber defense, strong analytical and investigative skills, and experience developing scalable detection capabilities across modern enterprise environments.
What You'll Do
Lead advanced investigations involving complex security incidents, emerging threats, and high-severity escalations
Develop, implement, and optimize detection logic across SIEM, EDR, NDR, SOAR, cloud-native security platforms, and other security monitoring technologies
Conduct threat hunting activities to proactively identify adversary behaviors, attack techniques, and detection gaps
Apply threat intelligence, adversary tradecraft, and MITRE ATT&CK methodologies to improve detection coverage effectiveness
Design, tune, and validate analytics to reduce false positives and improve alert fidelity
Develop automation, enrichment workflows, and operational efficiencies using AI, scripting and security orchestration technologies
Partner with Incident Response, Threat Intelligence, Cloud Security, Product Security, Manufacturing Security, and other cybersecurity teams to improve detection capabilities
Mentor and provide technical guidance to analysts and detection engineers
Drive continuous improvement initiatives that increase visibility, reduce investigative effort, and improve operational effectiveness
Evaluate emerging technologies, AI capabilities, and security monitoring solutions to advance GM's detection maturity
Your Skills & Abilities (Required Qualifications)
Bachelor's degree in Cybersecurity, Computer Science, Information Technology, Engineering, or a related technical field, or equivalent practical experience
5+ years of experience in cybersecurity with a focus on detection engineering, security operations, incident response, threat hunting, intrusion detection, or security event analysis
Experience working with enterprise SIEM platforms and log-centric detection methodologies
Experience developing and tuning security detections using correlation logic, behavioral analytics, and threat intelligence
Strong understanding of endpoint security technologies and EDR platforms
Experience investigating security events across endpoint, network, cloud, identity, and application environments
Knowledge of attacker tactics, techniques, and procedures (TTPs) and familiarity with the MITRE ATT&CK framework
Experience using scripting and query languages such as Python, PowerShell, or similar technologies
Strong analytical, troubleshooting, and investigative skills
Experience communicating technical findings to both technical and non-technical audiences
Ability to lead investigations during cybersecurity incidents
Demonstrated ability to collaborate effectively across multiple teams and stakeholders
Ability and willingness to participate in a 24x7 on-call rotation
What Can Give You a Competitive Advantage (Preferred Qualifications)
Experience with cloud security monitoring and detection engineering in Azure, AWS, and GCP environments
Experience with SaaS security monitoring and identity threat detection
Experience with network security monitoring, IDS/IPS technologies, packet analysis, and network telemetry
Experience supporting manufacturing, operational technology (OT), or industrial control system environments
Experience with vehicle cybersecurity, automotive architectures, or embedded security telemetry
Experience with application security monitoring, API security, runtime protection, and CI/CD security telemetry
Experience with malware analysis, reverse engineering, or digital forensics
Experience developing SOAR workflows and security automation solutions
Security certifications such as GCIA, GCIH, GCFA, GCDA, AWS Security Specialty, or equivalent
Proven ability to mentor, coach, and develop cybersecurity professionals
Demonstrated success leading technical initiatives and influencing cybersecurity strategy
Strong written and verbal communication skills
Continuous learning mindset with a passion for innovation and cybersecurity excellence
#LI-SB3
]]>The Construction Project Manager provides construction project management services for manufacturing plants (assembly, stamping, powertrain, casting, and paint), non-manufacturing sites and/or PDPM projects by overseeing all aspects of delivering completed projects.
Responsibilities include the completion of all work including site/civil, buildings, and utilities infrastructure for assigned projects from funding approval through stakeholder occupancy.
What You'll Do:
Your Skills & Abilities (Required Qualifications):
The Senior Manager, Compensation – Tech is a strategic people leader responsible for designing, executing, and governing compensation programs that support GM’s technology-focused businesses (e.g., Software & Services, Autonomous/AV, Cybersecurity, Data & AI). This role combines deep compensation expertise with strong business partnership and analytics to drive competitive, equitable, and scalable pay practices in a rapidly evolving tech talent market.
This leader will manage and develop a small team (2–4) of compensation professionals, fostering a culture of collaboration, innovation, and continuous improvement. They will be a key advisor to senior HR and business leaders on tech talent market dynamics, pay positioning, and program design.
The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position, as well as geography of the selected candidate.
GM’s Human Interface Design (HID) team is shaping the future of how people interact with our vehicles—through advanced interfaces, immersive visuals, and emotionally resonant experiences. As part of the Advanced UX group, you’ll explore next‑generation in‑vehicle interactions through conceptual visualization, rapid prototyping, and 2D/3D design.
This team blends creativity, systems thinking, and technical craft to envision intuitive, inclusive, and future‑forward mobility experiences. If you're excited by fast‑paced collaboration and bringing bold ideas to life, this role offers the opportunity to influence the next chapter of GM’s design innovation.
What You’ll Do:
Develop advanced UX concepts and visual directions that shape future in‑vehicle experiences, supported by storyboards, narrative flows, and clear visual storytelling.
Create scalable design systems, visual languages, and interface frameworks to ensure cohesive, repeatable solutions across platforms and features.
Produce high‑quality concept visuals—including 2D illustrations, UI explorations, motion studies, and simple 3D models or animations that bring future‑state interactions to life.
Build low‑ to high‑fidelity prototypes that support decision‑making, validate interaction patterns, and demonstrate feature flows or motion behaviors.
Iterate rapidly on user flows, interaction models, and motion behaviors to refine experience direction based on feedback and user needs.
Deliver polished design assets such as layouts, sketches, motion graphics, and user journeys that are ready for collaboration and handoff.
Collaborate and present effectively with cross‑functional teams (design, engineering, product, suppliers) while bringing forward fresh inspiration from UX, mobility, gaming, and consumer tech trends to influence major product decisions.
Your Skills & Abilities (Required Qualifications):
Motion, animation, or conceptual 3D
5+ years of professional experience in UX Design, Product Design, Human Interface Design, or related fields.
Strong, thoughtfully curated design portfolio demonstrating:
End‑to‑end UX process and systems thinking
Prototyping from low → high fidelity
Visual storytelling and narrative design
Complex interaction design
Expert proficiency in Figma and advanced prototyping tools (e.g. ProtoPie)
What will give you a co mpetitive Edge (Preferred Qualifications):
Strong proficiency in After Effects, Vizcom, Sketch, XD, Adobe Photoshop, Adobe Illustrator
Working knowledge of 3D modeling workflows
Previous experience with video creation and editing tools (Adobe Premiere Pro or equivalent)
Understanding of engineering and software constraints
We’re on a mission to build the world’s most advanced self-driving vehicles to safely connect people to the places, things, and experiences they care about. At GM's Autonomous Vehicle (AV) organization, we’re combining cutting-edge research, robust engineering, and large-scale systems to make this future a reality. Our team is developing national-scale, next-generation mapping systems from the ground up—combining robust backend infrastructure with intuitive, performant user interfaces.
The Role
We’re looking for a Fullstack Engineer with deep expertise in Frontend technology to join our Mapping Engineering team. You’ll be responsible for building web-based tools and interfaces that empower engineers, operators, and stakeholders to interact with our distributed mapping systems. From visualizing map data and pipeline health to enabling map QA and debugging workflows, your work will directly impact the safety and scalability of autonomous driving. You’ll collaborate closely with product managers, backend engineers, machine-learning engineers, domain experts across Localization, Perception, and Simulation to deliver high-quality, user-centric tools that support the full map lifecycle.
What You’ll Do (Responsibilities)
Architect and implement performant, scalable, and maintainable frontend systems for AV mapping applications across web and embedded platforms.
Design intuitive, data-rich user interfaces to visualize complex geospatial and mapping data, supporting workflows such as map editing, validation, and release.
Collaborate closely with backend, simulation, localization, and perception teams to define robust data contracts and ensure seamless integration across systems.
Lead the frontend development lifecycle for high-impact projects—defining milestones, aligning stakeholders, and mentoring engineers across functions.
Drive technical excellence in frontend engineering by conducting design reviews, enforcing UI/UX best practices, and setting standards for code quality, testing, and documentation.
Optimize rendering performance and responsiveness for large-scale map data and real-time updates.
Serve as a Subject Matter Expert (SME) in frontend architecture, component design, and visualization frameworks within the Mapping organization and across AV domains.
Contribute to roadmap planning and hiring strategies to grow frontend expertise across the team.
Minimum Qualifications (Must-Have)
5+ years of experience building and maintaining production-grade frontend applications.
Bachelors Degree in Computer Science or related field. Or relevant work experience
Proven experience owning and shipping user-facing products, ideally in high-performance or data-intensive domains.
Strong proficiency in modern JavaScript/TypeScript, React (or similar frameworks), and state management libraries (e.g., Redux, Zustand).
Deep understanding of frontend performance optimization, accessibility, and responsive design.
Experience working with geospatial data, map rendering libraries (e.g., Mapbox GL, Deck.gl, OpenLayers), or data visualization frameworks (e.g., D3.js).
Familiarity with RESTful APIs, WebSockets, and GraphQL.
BS, MS in Computer Science, Human-Computer Interaction, or a related technical field, or equivalent industry experience.
Demonstrated success in leading frontend initiatives, mentoring engineers, and working with cross-functional stakeholders.
Preferred Qualifications (Nice-to-Have)
7+ years of experience building and maintaining production-grade frontend applications.
Experience with AV mapping systems, HD map data pipelines, or automated cartographic error detection.
Knowledge of computer vision or machine learning workflows related to map labeling or perception.
Deep experience with Node.js internals and performance tuning.
Experience designing performant geospatial services, coordinate systems, and transforms.
Compensation: The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of New York, Colorado, California, or Washington.
The salary range for this role: is $144,700 to $261,300. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.
Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.
Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more
#GM-AV-1
]]>The Role:
GM’s Vehicle Mechatronics Embedded Controls (VMEC) organization is seeking a Senior Software Integration Manager (SWIM) to own software integration, release execution, and launch readiness for assigned controllers. This is an individual contributor role responsible for aligning software, calibration, hardware, validation, systems, program, supplier, and external engineering teams to manage delivery plans, dependencies, risks, tradeoffs, and issue resolution—ensuring high-quality software is delivered on schedule.
The ideal candidate brings embedded software and real-time systems expertise, systems thinking, and cross-functional leadership. They can translate complex program needs into executable plans, influence without direct authority, provide technical direction, and communicate clearly with leadership. Experience in embedded controls, calibration, controls validation, systems integration, electrical architecture, or related technical product leadership is valuable.
What You’ll Do:
Lead software integration planning and execution for assigned controllers and software releases, with emphasis on new, high-activity, or high-complexity applications.
Develop and communicate integrated software delivery plans across GM teams and external partners, aligning requirements, dependencies, timing, priorities, risks, and release readiness.
Lead cross-functional alignment across software, calibration, validation, hardware, systems, suppliers, and program stakeholders.
Drive software execution forums and operating cadences to track progress, resolve barriers, communicate decisions and recovery plans, and support on-time, high-quality delivery.
Lead project-specific software verification and validation planning, including required documentation and leadership alignment, while ensuring Controls Process of Engineering activities are completed to program milestones and quality expectations.
Identify, track, and resolve technical blockers, resource constraints, coordination gaps, and program risks—including memory and CPU tradeoffs—engaging subject matter experts and escalating when necessary.
Support root-cause investigations and corrective-action leadership for critical integration and launch issues, ensuring timely ownership and closure.
Foster, document, and scale best practices that improve software quality, development efficiency, integration effectiveness, and execution consistency.
Represent software integration in leadership reviews and cross-functional forums, and train, coach, and mentor team members in integration leadership, structured problem solving, and effective execution.
Your Skills & Abilities (Required Qualifications):
Bachelor’s degree in Computer Engineering, Electrical Engineering, Systems Engineering, Software Engineering, Computer Science, or a related engineering field with equivalent practical experience.
5+ years of experience in any of the following: embedded software, controls, calibration, systems integration, validation, electrical architecture, or related technical product development.
Demonstrated experience leading complex technical workstreams, projects, or cross-functional initiatives in a product development environment.
Strong understanding of real-time embedded systems and the interactions among software, hardware, calibration, and validation activities.
Demonstrated ability to build executable plans, manage technical dependencies, and deliver results in a complex and demanding development environment.
Strong analytical and problem-solving skills, including the ability to work through unusual or difficult issues with incomplete information.
Experience leading meetings, driving alignment, and influencing peers, partners, and suppliers without direct authority.
Working knowledge of embedded software development and integration practices, including software builds, testing, validation, configuration management, and issue tracking.
Strong written and verbal communication skills, including the ability to communicate technical status, risks, and recommendations clearly to leadership and cross-functional stakeholders.
What Will Give You A Competitive Edge (Preferred Qualifications):
Master’s degree in Computer Engineering, Electrical Engineering, Systems Engineering, Software Engineering, Computer Science, or a related technical field.
7+ years of experience in embedded software, controls, calibration, systems integration, or related automotive product development.
Experience troubleshooting and root-causing vehicle or controller-level issues in development, validation, launch, or production environments.
Understanding of vehicle electrical architecture, communication networks, and the broader Software Defined Vehicle landscape.
Experience integrating software, hardware, calibration, and validation activities across multiple teams or organizations.
Experience leading cross-functional initiatives with high technical complexity, aggressive timing, and multiple stakeholders.
Experience working with suppliers and external engineering partners.
Familiarity with configuration management systems, build tools, and issue-tracking workflows.
Experience in propulsion, chassis, brakes, or other automotive control systems.
Experience in design release, calibration, controls validation, or related vehicle integration functions.
Experience driving process improvement, best-practice development, or lessons-learned activities.
Familiarity with Agile methods, structured problem solving, or change-management practices.
Career Development Through This Role
This role helps employees grow from technical execution into technical leadership, program management, and cross-functional influence. It develops skills in:
Project and program management
Clear and persuasive communication
Relationship management across technical and business teams
Timely problem-solving and sound judgment
Quality, safety, and release-readiness discipline
Employees also gain experience leading software releases, coordinating cross-functional initiatives, influencing without direct authority, integrating software and hardware, improving processes, and supporting vehicle development, launch readiness, and issue resolution.
Job Description
The Role
The Compute Systems Software team is a dynamic and fast paced team that designs, develops, and maintains the foundational embedded software platform for SDV solutions, including drivers, operating system, BSP and software stack. We are developing a world-class GM experience for our customers and driving real change in the most iconic automaker on the planet. Our team delivers platform solutions for high end SoCs which enables to run infotainment, ADAS, and other high compute application. We offer challenging positions for passionate professionals looking to advance their careers and be a part of an organization focused on innovation, speed, and business value.
The OS Safety and Services team is seeking an experienced Senior Software Engineer to join our team to work on high-compute System-on-Chip (SoC) platforms. The ideal candidate will have strong expertise in embedded systems design and development, particularly with Linux and Real-Time Operating Systems (RTOS) such as FreeRTOS or SafeRTOS, and experience working on safety-critical software development under the ASIL (Automotive Safety Integrity Level) standards. Candidate will work with engineering teams across the software services and SoC vendors to build and manage a shared vehicle compute platform.
What You’ll Do
Develop software on a Real Time Operating System, like FreeRTOS based SafeRTOS.
Develop software feature on Linux to control the powering and activation of devices and processes.
Participate in the full software development lifecycle, including requirements analysis, design, implementation, testing, and integration
Work closely with cross-functional teams, including hardware engineers and system architects, to ensure seamless integration of software with hardware
Collaborate with other engineers to optimize performance, memory usage, and power efficiency for high-performance embedded systems
Contribute to the development of safety-critical software by applying best practices for embedded software development in automotive and other safety-critical domains
Your Skills & Abilities (Required Qualifications)
5+ years of experience in Embedded Software Developmen
Experience with Real-Time Operating Systems (RTOS), specifically FreeRTOS or SafeRTOS
Experience in safety-critical software development with exposure to ASIL B and ASIL D standards (preferably in the automotive or industrial domain)
Experience in Linux-based embedded operating systems
Strong proficiency in C/C++ programming for embedded systems
Solid understanding of embedded hardware architectures, including processors, memory management, and peripherals
Knowledge of communication protocols including Ethernet, I2C, and UART
Solid understanding of Linux Kernel Frameworks (DMA, V4L2, ALSA, UART)
Experience deploying commercial embedded systems
Familiarity with ARM architectures
Experience with bring-up/validation/system level testing of SoC’s
Education
Bachelor's degree in electrical engineering, computer engineering, computer science, or equivalent
Master’s degree in electrical engineering, computer engineering, computer science, or equivalent preferred
This posting is for an existing vacancy within the organization and is open to new applications.
AI Disclosure:
As part of the application process, Artificial Intelligence will be used in the hiring process for this role
Work Arrangement: This role is categorized as hybrid. This means the successful candidate is expected to report to the office three days per week, at minimum
The Data Engineering organization at General Motors Canada is developing a unified, scalable Vehicle Observability Data Architecture to enable consistent, secure, and high‑fidelity data from vehicle ECUs to the cloud. We’re seeking a Senior Embedded Logging Software Engineer to design and integrate embedded data pipelines across diverse in‑vehicle platforms, ensuring cohesive interaction between the control plane (configuration, arbitration, lifecycle) and the data plane (streaming telemetry and file‑based transfer).
The ideal candidate brings deep embedded expertise in C/C++ and Android, a track record of delivering solutions across Android Automotive, Linux, and QNX, and hands‑on experience scaling observability data flows from ECU to cloud while meeting strict reliability, performance, and security requirements.
What You'll Do (Responsibilities)
Own and develop software solutions as part of a larger team; leading and participating in feature development, maintenance of existing features, and bug fixes
Lead and participate in code, and test case reviews
Conduct software verification (unit, and integration testing as needed)
Provide clear and complete documentation per the software development process
Collaborate with team members through Scrum/Agile
Take ownership of each project, make design and implementation decisions autonomously, and mentor junior members
Be an integral part of a new and energetic team
Embedded Observability Infrastructure
Define and implement observability SW across Android, Linux, and QNX
Support vehicle‑local data access mechanisms (e.g., USB‑based retrieval) when connectivity is limited
Control Plane Integration
Build/extend Libraries to handle configuration retrieval, validation, arbitration, and persistence/fallback to last‑known‑good
Define API contracts for library integrations
Data Plane Integration
Specify behaviors to ensure dependable delivery under varying connectivity and resource conditions.
Reliability, Performance & Security
Implement runtime controls to enable/disable observability data
Ensure compliance with cybersecurity and data‑protection requirements for local and remote access to observability data
Standards, Documentation & Collaboration
Produce clear design documents, configuration guides, and support operational runbooks
Collaborate closely with embedded platform teams, observability/data engineering, product, and validation to deliver end‑to‑end data flows from ECU to cloud
Your Skills & Abilities (Required Qualifications)
Bachelor’s degree in Computer Science, Engineering, or a related field.
5+ years in embedded software development or systems engineering across Android, Linux, and/or QNX.
Strong coding proficiency in C/C++ and Android Java with experience in platform‑level integrations.
Experience designing metrics/telemetry for operational visibility and remote control at fleet scale.
Clear, concise technical communication; strong cross‑team collaboration and design documentation skills.
What Can Give You a Competitive Advantage (Preferred Qualifications)
Experience integrating with control plane services (configuration retrieval, arbitration, persistence/fallback) and data plane pipelines (streaming and file‑based transfer).
Experience developing SW Observability components
Experience designing driver/HMI‑initiated capture flows (e.g., create/upload data).
Knowledge of automotive cybersecurity controls and data‑protection processes.
Exposure to OpenTelemetry, protobuf/gRPC, or similar observability/data‑plane technologies.
Contributions to or strong affinity for open‑source observability/logging ecosystems.
Automotive domain familiarity: ECU architectures, SoC platforms, diagnostics, failure/crash analysis
Compensation:
The salary range for this role is $115,000 to $164,600. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.
GM DOES NOT PROVIDE IMMIGRATION-RELATED SPONSORSHIP FOR THIS ROLE. DO NOT APPLY FOR THIS ROLE IF YOU WILL NEED GM IMMIGRATION SPONSORSHIP NOW OR IN THE FUTURE.
Benefits Overview
The goal of the General Motors of Canada total rewards program is to support the health and well-being of you and your family. Our comprehensive compensation plan currently includes the following benefits, in addition to many others:
Paid time off including vacation days, holidays, and supplemental benefits for pregnancy, parental and adoption leave;
Healthcare, dental, and vision benefits;
Life insurance plans to cover you and your family;
Company and matching contributions to a Defined Contribution Pension plan to help you save for retirement;
GM Vehicle Purchase Plan for you and your family.
Who You Are
As the leader of the Power Electronics & Energy Conversion Systems group within Energy and Propulsion Systems Research, you will manage a team of researchers and oversee the planning and execution of advanced research in power electronics and energy conversion for future GM propulsion and vehicle systems.
Your immediate focus will be to lead innovation across several core technical domains, including:
High- and low-voltage component, subsystem, and architecture topologies for electrified transportation that improve cost, efficiency, performance, and customer-facing features
Traction inverter and power converter architectures
Wide-bandgap power semiconductor applications and power module innovation
High-density, high-efficiency power conversion for electrified propulsion systems
Packaging, thermal management, reliability, and manufacturability of power electronics
Emerging energy conversion technologies that create strategic options for GM
In this role, you will help define, develop, and mature advanced technologies from early research through system-relevant demonstrations. You will also build a strong external partnership network across suppliers, universities, startups, government labs, and advanced technology organizations to leverage investments and amplify GM’s internal efforts.
What You Do
Lead corporate technology needs and chart overall strategy through active collaboration with stakeholders across the GM enterprise.
Provide technology leadership in power electronics and energy conversion systems and develop strategic roadmaps in collaboration with key stakeholders.
Develop and execute an R&D project portfolio that provides actionable options to address GM needs.
Optimize internal and external capability to execute the project portfolio, including leveraged funding and collaborations with academia, government labs, suppliers, startups, and other external partners.
Drive innovation and documentation of research developments through records of invention, internal reports, and external publications.
Develop a global network with key universities, government labs, industrial labs, and strategic partners to access world-class technology.
Lead cross-functional discussions, leadership reviews, and communication of results and progress across the organization.
Manage activities of researchers, including setting objectives, managing results, evaluating individual performance, coaching, and mentoring, and career planning for positive engagement.
Recruit talent and grow and diversify the team’s skills and proficiency base.
Engage the team to accomplish projects with high quality, high impact, and fast delivery.
Celebrate wins and seek recognition internally and externally for accomplishments of team members.
Support and encourage corporate initiatives of diversity, employee enthusiasm, and culture change.
Consistently demonstrate critical thinking and strong collaboration.
Be a champion for safety in the workplace.
What You Need
Master’s degree or multiple advanced degrees in Electrical Engineering, Mechanical Engineering, Materials Engineering, Chemical Engineering, Physics, or a related field, plus 10+ years of relevant work experience.
Track record of research or technology implementation.
Experience as a technical leader and individual contributor.
Strong, charismatic leader with excellent people skills.
Research and development project planning, management, and budget responsibility.
Ability to execute multiple projects spanning different technical areas in parallel.
Ability to communicate complex concepts and situations clearly and at the appropriate level for various audiences.
Demonstrated ability to break through barriers to execute plans.
Multidisciplinary engineering skill set.
Deep technical grounding in power electronics, energy conversion, and electrified propulsion technologies.
What Would Be Even Better
PhD or multiple advanced degrees in Electrical Engineering, Mechanical Engineering, Materials Engineering, Chemical Engineering, Physics, or related field.
5+ years of people and team leadership experience.
Experience in automotive power electronics, electrified propulsion systems, or closely related transportation electrification technologies.
Experience leading research teams from concept creation through hardware or system demonstration.
Strong business acumen.
Demonstrated performance in roles requiring both high creativity and strong engineering technical excellence.
Strong evidence of career performance excellence in positions of increasing responsibility, challenge, and leadership.
Experience building effective external collaborations with universities, suppliers, startups, and government-sponsored programs.
We are looking for a self-driven individual with GD&T experience (creating and interpreting) that can act as a resource for the Engineering teams within GM Defense.
Your main responsibility will be the definition of GD&T criteria for vehicle components and sub-systems. You will also assist suppliers understand and utilize GD&T to set up part qualification systems as needed. Ensuring high quality designs will entail utilizing your knowledge of engineering tools and processes to assist the DRE's in their development of components and sub-systems.
At this level you are expected to operate with a high level of independent discernment and are typically responsible for implementing functional strategy and broadcasting these strategies to the broader Engineering Team. As a fully-qualified individual contributor who has thorough knowledge and understanding of all aspects of the function, you will provide expert judgment and analysis on future products.
What You'll Do
You will coach and lead suppliers to timely execution of program work with perfection.
Resolve highly sophisticated technical issues and conduct advanced research.
Recommend alterations to development and design to improve quality of products and/or procedures.
Be skilled and proficient with the field's concepts, practices, and procedures.
Rely mostly on extensive personal experience and discernment to plan and accomplish goals.
Perform multiple tasks. A wide degree of creativity and latitude is expected.
Your Skills & Abilities (Required Qualifications)
Bachelor's Degree in Engineering
5+ of experience working in an engineering discipline
Minimum 3 years of component and sub-system GD&T design/release
Knowledge of high and low build volume processes
GD&T knowledge as it pertains to developing part inspection criteria
GD&T understanding of how variation affects the manufacturability of mating components
Build process trouble shooting experience
Excellent collaboration skills with others within and outside of their direct organization
Ability to work professionally with suppliers and vendors directly
Demonstrated ability to solve design/manufacturing issues quickly as part of a multi-functional team.
Run efficient meetings using the Global Product Group guidelines
Resolve engineering issues, present at multi-functional meetings and track to implementation
Candidate must either be a U.S. Person (U.S. citizen, U.S. permanent resident, asylee or refugee) or a non-U.S. Person who is eligible to obtain any required export control authorization.
#GMD
]]>This role is categorized as on-site. Successful candidates are expected to work full time from the GM China Advanced Technical Center in Shanghai, China.
GM China Design Studio is both a production design studio and an advanced design studio. We shape meaningful vehicle experiences for GM brands serving customers in China and global markets, connecting near-term production programs with forward-looking exploration.
We are committed to creating an exceptional design environment where creativity, beauty, craftsmanship, and storytelling can thrive. Our designers work across disciplines and cultures to translate customer understanding, brand identity, emerging technologies, and new forms of mobility into compelling interior experiences.
This evergreen requisition is established for talent pipelining purposes. GM China Design Studio is building a long-term pipeline of exceptional Interior Designers across multiple levels, including Creative Designer, Senior Interior Designer, and Lead Interior Designer, in support of current and anticipated business needs.
We welcome applications from outstanding designers around the world who are interested in contributing to exciting production programs and advanced design work in our China studio. Depending on business needs and the candidate’s experience, future opportunities may involve different levels of responsibility, program scope, and creative leadership.
When submitting your application, please include:
After your application is submitted, our recruiting and design teams will review your materials. If there is alignment with a current or future opportunity, a recruiter will contact you to discuss potential next steps. Because this is an evergreen requisition, the timing of contact may vary according to business needs and the fit between your experience and upcoming opportunities.
If you do not meet every element listed below but are interested in exploring an opportunity with GM China Design Studio, we still encourage you to apply. We value distinctive creative perspectives, strong design potential, and the ability to contribute to a collaborative studio environment.
The Role -
Interior Designers in GM China Design Studio help define the future of in-vehicle experiences for China and global markets. Depending on level and experience, you may contribute to or lead interior design themes from early advanced exploration through production execution, creating solutions that are emotionally compelling, brand-relevant, user-centered, and technically achievable.
You will collaborate with designers and partners across UX/HMI, CMF, Studio Engineering, Vehicle Systems Engineering, Product Planning, Customer Research, and global design studios. The scope of your contribution may range from developing design proposals and visual narratives to directing programs, presenting to senior leadership, and mentoring other designers.
What You’ll Do
Your responsibilities may include the following, depending on your level, experience, and assigned program:
Your Skills & Abilities (Required Qualifications) :
We welcome designers with different career paths, backgrounds, and levels of experience. The following qualifications are intended to describe the capabilities that may be relevant to these opportunities rather than serve as a checklist that every applicant must fully satisfy.
You will have the opportunity to work in a studio that connects advanced design exploration with real production impact. You will collaborate with colleagues across China and the global GM Design network, contribute to vehicle experiences for diverse customers, and help shape the next generation of automotive interiors through creativity, beauty, technology, and storytelling.
We are interested in meeting exceptional designers at different stages of their careers. Your portfolio, perspective, and potential may align with an opportunity even if your experience does not map perfectly to every item in this description.
]]>This role is categorized as hybrid. This means the successful candidate is expected to report to Warren, MI three times per week, at minimum.
Role Overview
As a Sr. Global Sourcing Manager you will be responsible for purchase of all or a specific portion of productive and/or non-productive materials, supplies, machinery, tooling, and/or services. You will be responsible for actively developing commodity strategy, leading complex global sourcing, and negotiations with key supplier partners, developing and executing plans to meet direct material budget targets, and collaborating with many suppliers and internal partners.
Sr. Global Sourcing Managers are expected to contribute to the development of the purchasing team by using their experience and skills coach peers. The work is of a sophisticated nature involving a considerable amount of initiative, analytical work, and judgment.
This role requires the candidate to be comfortable operating and solving problems with a high degree of autonomy while working with stakeholders from a variety of different functional groups. Workload will require candidates to use their judgement to prioritize tasks that drive the maximum enterprise benefit for General Motors and the Global Purchasing and Supply Chain function.
What You’ll Do
Responsible for maintaining sourcing pipeline, benchmarking data, strategy presentations, global budget, and on-time metrics
Adhere to corporate and departmental purchasing and accounting practices and procedures
Sourcing and contracting activities that include, but are not limited to:
Sourcing strategy, bid list development & management
Quote analysis and review
Coordination and alignment of RFQ package components, including Terms & Conditions, SOR compliance, technical documentation, and quality alignment
Leader's sourcing recommendation and alignment with cross-functional teams
Management of sourcing documentation related to RFQ process in adherence to the GM Audit Services requirements
Support direct material budget activities
Lead supplier relationship management initiatives, including “Strategic Supplier Engagement” and nurture relationship with suppliers by acting as a focal point for commercial issue resolution
Perform change management activities
Lead or represent the purchasing function in supplier KPI reviews
Represent purchasing and support mitigation of supply chain disruptions
Skills & Abilities (Required Qualifications)
Bachelor's degree in Business, Supply Chain Management, Finance, related field
• 5+ years relevant work experience in purchasing, supply chain, program/product management, logistics or product development (any internship or co-op experience will not be considered)
Proficient in completing tasks autonomously, without coaching the following competencies:
Data Judgement - Ability to objectively analyze data and draw meaningful conclusions
Informative Communication - Ability to communicate relevant information to the appropriate audience both effectively and timely
Relationship Management - Develops and maintains constructive, cooperative working relationships
At a minimum, demonstrates ability to execute with little support in the following competencies:
Negotiation - engage in collaborative discussions to reach meaningful agreements
Analytical Thinking - Consider various factors in decision making to determine solutions and their impacts
Results Focus - Take charge without prompting, seize opportunities and deliver on time
Workload Management - Manage multiple tasks with quality and prioritize by critical needs
Ability to travel, 10% or less locally in the greater Warren, MI area
What Can Give You a Competitive Edge (Preferred Qualifications)
Master's Degree
Experience with commodities
Cost analysis or manufacturing experience
Automotive industry experience
Knowledge of Capacity and Materials Management
Capable of drawing conclusions from complex data, market trends and the regulatory environment
Ability to understand basic engineering documents and technical drivers for the applicable commodities
Knowledge of contract law as it applies to the purchasing processes
At AV (Autonomous Vehicles) Software Organization within General Motors, we are working on developing cutting-edge ADAS and AV features for next-generation vehicles.
As the ADAS/AV Platform Software Verification Engineer, you will play a crucial role in defining, implementing, and optimizing system testing to ensure the quality, safety, and reliability of the ADAS platform software.
Responsibilities:
Design and develop scalable, high-coverage software testing for the ADAS/AV platform.
Analyze diagnostics from a full-vehicle perspective to support efficient triaging and debugging related to ADAS/AV Platform Software.
Build and Maintain hardware-in-the-loop (HIL), software-in-the-loop (SIL), and vehicle-in-the-loop (VIL) testing environments.
Ensure compliance with legal standards and safety requirements, including ISO 26262, SOTIF, FMVSS 111, and FMVSS 127, while improving test coverage and metrics.
Collaborate with Software Infra and application teams to develop new test cases, leveraging expertise in Service-Oriented Architecture, Middleware communication (Pub Sub/DDS/Subspace), diagnostics, Linux and QNX.
Work closely with Software Development and Hardware teams to debug and root-cause issues within Linux/QNX-based ADAS/AV Platform Software.
Create Test automation frameworks, develop test scripts, and execute automated tests to enhance validation efficiency.
Conduct and assist with test result analysis, including FMEA, Root Cause Analysis (Ishikawa/Fishbone Analysis, A-B-A Testing).
Assist in issue triaging, log analysis, and troubleshooting ADAS/AV Platform issues.
Required Qualifications:
Bachelor's degree in electronics, computer science, electrical engineering or a related technical degree
Minimum of 6 years of professional technical experience
Minimum of 3 years of working experience in Software Verification and Validation.
Strong Programming skills in Python, CAPL, Vehicle Spy and Robot Framework .
Good understanding of Vehicle networks like CAN and Ethernet.
Knowledge of network analysis and debugging tools, Ex: Wireshark, CANoe/CANalyzer, INCA, RAD Galaxy RAD Gigastar.
Ability to understand the requirements and transfer that into Test Scenarios, Situations / Tests, or testable scripts to be used in vehicle simulation environments.
Flexible, dependable, self-initiative, and capable of learning new skills and technologies.
Possess a valid driver’s license and the ability to operate test vehicles
Preferred Qualifications:
Must have hands-on Experience with QNX or Linux based software systems and Embedded programming.
Knowledge in ROS, Linux-based embedded systems, and RTOS environments.
Excellent cross-collaboration and critical problem-solving skills.
Experience in Unified Diagnostic Services (ISO 14229), TCP and UDP .
Knowledge of automotive communication protocols (Ethernet, DDS, CAN, SOME/IP)
Necessário:
Desejável:
Importante:
1- Anexar o seu currículo no momento da aplicação, incluir o e-mail no perfil de candidato(a).
2- Confira seu número de telefone e endereço de e-mail para garantir que estejam corretos.
]]>The Marketing Applied Sciences (MAS) team develops analytics-driven solutions that help GM organizations achieve their business goals. As the Media Performance Strategist, you will manage end-to-end media measurement and insight delivery for Customer Care and Aftersales. You will use media data across TV, streaming, display, paid search, paid social, and other channels to shape media strategy, budget allocation, and broader marketing decisions. Working within a cross-functional analytics squad, you will build measurement frameworks, advance attribution and marketing mix modeling (MMM) capabilities, and communicate actionable recommendations that improve brand performance.
What You’ll Do
Lead delivery of MMM and media measurement insights for Corporate Brands, quantifying the sales and brand impact of media and recommending budget and media-mix optimizations across channels.
Elevate MMM findings into strategic, consultative recommendations and communicate complex analytical stories in ways that translate into measurable actions.
Independently analyze media and digital platform data to uncover performance trends, conversion drivers, and optimization opportunities across the marketing funnel.
Design and refine measurement methodologies, including MMM, attribution models, and High Value Behaviors, while ensuring data integrity, capture and tagging standards, and consistent campaign application.
Lead monthly and ad hoc reporting on media KPIs, funnel performance, ROI, and brand engagement, synthesizing findings for brand stakeholders and media partners.
Embed media taxonomy and marketing governance standards into MMM and media storytelling while partnering with stakeholders to prioritize critical marketing and media questions.
Deliver compelling presentations and dashboards that align with business objectives and make insights accessible to technical and non-technical audiences.
Your Skills & Abilities (Required Qualifications)
Bachelor’s degree in Marketing, Business Analytics, Communications, Economics, Statistics, or a related field.
At least 5 years of experience in marketing analytics, media strategy, marketing mix modeling, attribution, or performance measurement.
Hands-on experience with MMM or multi-touch attribution and performance media measurement.
Experience using analytical software tools and packages, including analytics platforms such as Adobe Analytics or Google Analytics and MarTech platforms such as Google Campaign Manager or Meta Ads Manager.
Proficiency in SQL for querying and managing large datasets, with experience creating and managing dashboards in Power BI.
Strong problem-structuring, analytical, and strategic thinking skills, including the ability to integrate data from multiple sources into a cohesive point of view.
Excellent written, verbal, and presentation skills, with the ability to translate complex analytical work into clear, actionable insights for technical and non-technical stakeholders.
Strong interpersonal and project leadership skills, including the ability to manage timelines and collaborate effectively with internal teams and external agencies on planning, budgeting, and campaign optimization.
What Will Give You A Competitive Edge (Preferred Qualifications)
Experience applying both MMM and multi-touch attribution across a broad range of media channels and marketing objectives.
Experience developing media taxonomies, marketing governance standards, data capture requirements, and measurement frameworks.
Experience partnering with brand marketing, media planning, and external agency teams to influence strategy, budget allocation, and campaign optimization.
Experience working with large, complex consumer brands or within the automotive industry.
The salary range for this role is ($83,800 - $127,300). The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.
Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.
Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.
]]>General Motors is undergoing a major transformation, both in how we operate and in how we will influence the future of transportation. Our Software Services team is on the forefront of this work, emboldening our culture by seeking out determined, innovative individuals who will join our team to help move us forward and achieve our mission.
About the Role
The Manager, Cybersecurity Engineer is a senior people leadership role within GM Cybersecurity, and part of the Cybersecurity Governance, Risk & Compliance team. This role owns GM's vehicle product cybersecurity compliance posture — including conducting threat analysis and risk assessment, providing requirements to GM’s Cybersecurity policy and underlying standards, ensuring global regulatory compliance, and orchestrating government-facing audits — while driving control gap remediation across vehicle engineering and product teams.
As the regulatory landscape continues to evolve, this role is also responsible for incorporating emerging vehicle theft-related and compliance requirements into GM's product cybersecurity controls framework. The ideal candidate is a seasoned cybersecurity GRC professional with deep automotive regulatory expertise, a collaborative leadership style, and a proven track record managing high-performing teams while influencing cross-functional stakeholders.
Key Responsibilities
Product Cybersecurity Compliance
Own and maintain GM's product cybersecurity controls framework , ensuring coverage across all applicable vehicle programs, markets, and regulatory requirements.
Lead and oversee Threat Analysis and Risk Assessment (TARA) activities for vehicle product systems, ensuring threat models are current, comprehensive, and integrated into the vehicle development lifecycle.
Provide requirements for and input to product cybersecurity policies and standards aligned to evolving threats, regulatory mandates, and industry best practices; drive necessary approvals and ensure cross-functional integration.
Monitor and interpret global automotive cybersecurity regulations and standards (e.g., ISO/SAE 21434, ISO 24089, UNECE WP.29 frameworks), translating changes into actionable compliance obligations for internal teams.
Track emerging vehicle theft-related cybersecurity compliance requirements and drive necessary programmatic responses across applicable vehicle programs and markets.
UNR155 & Vehicle Type Approval: Own GM's compliance program for United Nations Regulation No. 155 (UNR155) — the global standard for automotive cybersecurity — and serve as the lead orchestrator for Vehicle Type Approval (VTA) and Cybersecurity Management System (CSMS) audits with government agencies and technical services globally.
Manage all aspects of audit readiness, evidence preparation, submission coordination, and post-audit remediation across multiple regulatory jurisdictions.
Build and maintain productive relationships with government authorities, type approval bodies, and technical service organizations (e.g., IDIADA, etc.) across international markets.
Ensure audit artifacts, compliance documentation, and CSMS evidence packages are current, complete, and audit-ready at all times.
Control Gap Identification & Remediation
Lead the identification, assessment, and prioritization of cybersecurity control gaps across vehicle product systems, aligned to UNR155, ISO/SAE 21434, and other applicable frameworks.
Drive cross-functional remediation efforts, partnering with Vehicle Cybersecurity Engineering and other engineering teams to develop and execute corrective action plans.
Establish and maintain tracking mechanisms for control gap closure, reporting status to senior leadership on a regular cadence.
Conduct or oversee root cause analyses of identified control deficiencies and systemic risk trends, ensuring durable remediation strategies are implemented.
Cross-Functional Partnership
Partner closely with the Vehicle Cybersecurity Engineering team and other engineering organizations to align compliance requirements to design and development processes throughout the vehicle lifecycle.
Collaborate with Legal, Government Affairs, Program Management, and Supplier teams to ensure a coordinated approach to regulatory compliance.
Provide cybersecurity GRC expertise and compliance guidance to internal stakeholders, translating complex regulatory requirements into clear, actionable direction for engineering and program teams.
Represent GM's product cybersecurity GRC program in external-facing engagements, including regulatory submissions, audits, and industry working groups.
People Leadership & Team Management
Lead, develop, and mentor a team of cybersecurity GRC professionals, fostering a high-performance culture grounded in accountability, collaboration, and continuous growth.
Set clear objectives, establish Key Performance Indicators (KPIs), and own delivery of team results aligned to organizational and GM strategic priorities.
Manage workforce planning, talent development, and performance management for all direct reports.
Build a team with the optimal mix of expertise and experience, supporting hiring and onboarding activities as needed.
Champion GM's behaviors and values, fostering an inclusive and psychologically safe team environment.
Your Skills & Abilities (Required Qualifications)
Bachelor's or Master's degree in Cybersecurity, Computer Science, Engineering, or a related field
Minimum 10 years of experience in cybersecurity, with a focus on GRC, regulatory compliance, or product/automotive cybersecurity
Demonstrated experience leading teams , including people management, performance management, and talent development
Deep knowledge of UNR155 , UNECE WP.29 , NIST CSF and global automotive cybersecurity regulatory frameworks
Experience orchestrating or directly participating in Vehicle Type Approval processes and/or CSMS audits with government or regulatory bodies
Hands-on experience with Threat Analysis and Risk Assessment (TARA) methodologies and integration into the vehicle development lifecycle
Strong expertise in cybersecurity controls frameworks (e.g., ISO/SAE 21434 , ISO 27001, NIST CSF, NIST SP 800-53)
Experience developing or maintaining cybersecurity policies and standards aligned to regulatory and industry requirements
Proven ability to identify control gaps, develop remediation strategies, and drive closure across cross-functional engineering teams
Experience managing complex, multi-stakeholder programs across global, geographically distributed organizations
Strong analytical, problem-solving, and critical thinking skills, with ability to assess systemic issues and translate findings into executive-ready reports
Excellent communication, presentation, and interpersonal skills — able to engage effectively with technical teams, senior leadership, and government representatives
Ability to manage multiple high-complexity programs concurrently and prioritize effectively under shifting regulatory demands
Strong work ethic, attention to detail, and commitment to excellence
What Will Give You A Competitive Edge (Preferred Qualifications)
(Not mandatory, but would give candidates a competitive edge)
Relevant professional certifications (e.g., CGRC , CRISC , CISA , CISSP , ISO/SAE 21434 Lead Auditor , PMP )
Familiarity with vehicle theft-related cybersecurity regulations and compliance obligations (e.g., NHTSA guidance, regional anti-theft mandates)
Experience with GRC software tools and platforms (e.g., Archer, ServiceNow, IBM OpenPages)
Working knowledge of automotive embedded systems, vehicle Electronic Control Unit (ECU) architecture, or connected vehicle technologies
Experience engaging with technical service organizations (e.g., IDIADA, etc.) in the context of type approval
Familiarity with automotive supply chain cybersecurity requirements and partner/supplier compliance programs
Data analytics, dashboard development, or GRC platform reporting experience
Prior experience in a global automotive Original Equipment Manufacturer (OEM), Tier 1 supplier, or government agency environment
Experience with enterprise risk frameworks (e.g., COSO, FAIR, ERM) in a product cybersecurity context
About the Team:
The AI Validation Platform team owns the cloud-agnostic, reliable, and cost-efficient platform that powers GM’s AV efforts. We’re proud to serve as the infrastructure platform for teams developing autonomous vehicles (L3/L4/L5). Our platform supports the simulated validation of state-of-the-art (SOTA) machine learning models, with a focus on performance, availability, concurrency, and scalability. We enable rapid innovation and development by prioritizing high-impact, ML-centric use cases.
About the Role:
We are seeking a Senior ML Infrastructure engineer to help build and scale robust Compute platforms for Simulation workflows. In this role, you will focus on scaling, driving efficiency, and high utilization of cutting-edge GPUs, while also leveling up the platform’s reliability. The successful candidate will have experience building and running scalable distributed systems. They will rapidly test and promote ideas, have strong problem-solving skills, and demonstrate a bias for action.
You will play a key role in shaping the architecture, roadmap, and user experience of a robust service supporting our AI Validation / Simulation needs. The ideal candidate brings experience in designing distributed systems, strong problem-solving skills, and a get-it-done attitude. This is a high-impact opportunity to influence the future of AI infrastructure at GM.
What you’ll be doing:
Design and implement core platform backend software components.
Collaborate with Simulation engineers, ML engineers and researchers to understand critical workflows, parse them to platform requirements, and deliver incremental value.
Lead technical decision-making on Compute architecture, cloud capacity provisioning, caching, and auto-scaling mechanisms.
Drive the development of monitoring, observability, and metrics to ensure reliability, performance, and resource optimization.
Proactively research and integrate frameworks, hardware accelerators, and distributed computing techniques.
Lead large-scale technical initiatives across GM’s ML infrastructure.
Raise the engineering bar through technical leadership and by establishing best practices.
At a Minimum We'd Like You To Have
4+ years of industry experience, with a focus on high performance backend services.
Strong expertise in Go, or other similar coding languages.
Experience working with cloud platforms such as GCP, Azure, or AWS.
Experience in delivering cross-functional initiatives.
Strong communication skills and a proven ability to drive cross-functional initiatives.
Ability to thrive in a dynamic, multi-tasking environment with ever-evolving priorities.
It's Preferred If You Have
Hands-on experience with Cloud VM services Google Compute Engine.
Experience with hardware-in-the-loop validation systems.
Experience with high performance computing (HPC).
Experience working with or designing interfaces and clients for developer workflows.
Familiarity with telemetry, and other feedback loops to inform product improvements.
Familiarity with hardware acceleration (GPUs) and optimizations.
Why Join Us?
If you’re excited to tackle some of today’s most complex engineering challenges, see the impact of your work in real-world AV applications, and help shape the future of AI infrastructure at GM—this is the team for you.
Compensation: The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of New York, Colorado, California, or Washington.
The salary range for this role is $155,420 to $205,900. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.
Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.
Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.
Benefits:
Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.
Relocation: This job may be eligible for relocation benefits.
Remote/Hybrid: This role is based remotely but if you live within a 50-mile radius of Mountain View, you are expected to report to that location three times a week, at minimum.
Vacancy Status:
This posting is not for an existing vacancy within the organization and is open to new applications.
AI Disclosure:
As part of the application process, Artificial Intelligence will be used in the hiring process for this role
Work Arrangement: This role is categorized as hybrid. This means the successful candidate is expected to report to the office three days per week, at minimum
The Role
As a Senior Software Developer , you will build the software that powers GM’s virtual development environments, SIL workflows, and AI‑enhanced simulation capabilities. You bring strengths in automation, embedded systems, and problem‑solving — and this role expands your exposure to cloud, data, ML fundamentals, and large‑scale simulation architecture.
What You’ll Do ( Responsibilities )
Develop backend services supporting virtual ECUs, simulation orchestration, and model execution.
Build tools for SIL workflows including scenario execution, data capture, and automation.
Integrate AI/ML components into simulation or validation pipelines.
Design APIs for simulation control, artifact management, and orchestration.
Optimize performance for compute‑intensive workloads.
Collaborate with DevOps and simulation teams to ensure seamless integration.
Contribute to CI/CD workflows for simulation and AI components.
Your Skills & Abilities ( Qualifications )
Bachelor’s or Master’s degree in Engineering, Computer Science, or related field.
7+ years of relevant experience in software development, simulation, or embedded systems.
Strong programming skills in Python, C++, C#, or Java.
Experience with simulation or virtualization (vECUs, FMUs, SIL).
Understanding of cloud services and distributed systems.
Experience with CLI-based architecture for tools design.
Knowledge of MCP-based architecture for AI tools design.
Experience with databases for simulation metadata and results.
Optional AI Skills:
ML lifecycle basics
Vector search or embeddings
Model integration
What Will Give You a Competitive Edge ( Preferred Qualifications )
Experience with microservices for simulation orchestration.
Knowledge of Kubernetes for running compute workloads.
Performance tuning expertise for simulation or AI pipelines.
Experience with automotive data and domain modeling.
Experience with ontology-based engineering processes and architecture frameworks.
Advanced knowledge of ontology technologies and ontology design patterns (Owl, RDF, SPARQL, Automated reasoning)
Compensation:
The salary range for this role is $115,000 to $164,600. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.
GM DOES NOT PROVIDE IMMIGRATION-RELATED SPONSORSHIP FOR THIS ROLE. DO NOT APPLY FOR THIS ROLE IF YOU WILL NEED GM IMMIGRATION SPONSORSHIP NOW OR IN THE FUTURE.
Benefits Overview
The goal of the General Motors of Canada total rewards program is to support the health and well-being of you and your family. Our comprehensive compensation plan currently includes the following benefits, in addition to many others:
Paid time off including vacation days, holidays, and supplemental benefits for pregnancy, parental and adoption leave;
Healthcare, dental, and vision benefits;
Life insurance plans to cover you and your family;
Company and matching contributions to a Defined Contribution Pension plan to help you save for retirement;
GM Vehicle Purchase Plan for you and your family.
The Manufacturing Data Engineering organization designs, builds, and maintains scalable data systems for manufacturing, with a focus on key domains such as process, materials, sustainability, labor relations, safety, and facility data, and it owns battery data analytics. Our mission is to create enterprise data platforms and products that transform raw manufacturing data into trusted, governed insights that enable data-driven decisions across the business.
Device Core Engineering is responsible for the plant‑floor device data pipeline. Our charter is to make high‑quality manufacturing device data reliably available in the cloud so analytics, AI , and operational teams can improve throughput, quality, maintenance, and cost across GM’s plants.
We are seeking a Senior Software Engineer to lead integration with robotic devices and capture production data from plants across the global manufacturing network.
What You’ll Do
Work Schedule & On‑Call Expectations
Your Skills & Abilities (Required Qualifications)
What Will Give You a Competitive Edge (Preferred Qualifications)
#LI-CK1
Gm does not provide immigration-related sponsorship for this role. Do not apply for this role if you will need gm immigration sponsorship (e.g., h-1b, tn, stem opt, etc.) Now or in the future.
]]>Onsite: This role is categorized as onsite. This means the successful candidate is expected to report to the Arlington facility on a full-time basis.
The Role:
The Health Center Physician Assistant or Nursing Practitioner works under the direction of a Health Center Medical Director or physician to support delivery of medical care. They oversee and provide direct patient care and treatment, perform medical examinations, integrate with the health center nurse supervisor, support the site emergency response program, and promote health and well-being in an automotive manufacturing setting
What You'll Do (Responsibilities):
Your Skills & Abilities (Required Qualifications) :
Education and Training - PA
Education and Training - NP
This job may be eligible for relocation benefits.
We are seeking an experienced, technical oriented, impact delivering-driven expert in ML Training Infrastructure with a strong ability to execute hands-on technical work. In this role, you will be responsible for designing and building scalable, reliable, and high-performance AI/ML platform infrastructure to support advanced AI research and model development initiatives. As a Senior ML Engineer, you will collaborate closely with machine learning engineers, research scientists, and other partners to develop state-of-the-art AI solutions that enable the future of intelligent driving technologies across General Motors vehicles.
What You'll Do:
Design and development of scalable, reliable, high-performance ML framework to support model training at scale.
Raise the bar on system observability, debuggability, and operational excellence, and user experience.
Model training performance analysis and optimization solutions to scale distributed training workflows and maximize resource utilization across heterogeneous hardware environments, and save cost.
Collaborate with cross-functional teams to integrate new features and technologies into the platform.
Your Skills & Abilities (Required Qualifications)
Bachelors degree or higher in Computer Science or equivalent major OR equivalent relevant experience
5+ years professional software engineering experience.
1+ years specialized experience in AI/ML infrastructure, e.g., enabling distributed training for scaling large ML models
Strong programming skills in Python, with proficiency in frameworks such as,PyTorch (preferred), TensorFlow, or similar
Experience with distributed computing, GPU computing, and cloud environments (AWS, GCP, Azure).
Willingness to travel to Sunnyvale, CA as needed
Comfortable working in highly ambiguous and dynamic environments
What Will Give You a Competitive Edge (preferred qualifications):
Self-motivated, strong execution, impact-delivering oriented
Extensive knowledge and experience with PyTorch 2.x+ and distributed training framework
Experience with design and development of training framework that supports FSDP, Pipeline Parallelism and other scalable solutions to training large foundational models
Experience with profiling, analysis, debugging and optimizing training and data loading performance.
Excellent communication skills to resolve controversial, make consensus, communicate risks and give constructive feedback
Compensation: The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of New York, Colorado, California, or Washington.
O que você irá fazer (Responsabilidades):
Atuação na linha de produção de automóveis, montagem e instalações de painéis, de tapeçaria, de motor, de bancos, de portas, lâmpadas, etc.;
Possuímos áreas onde é necessária a experiência e atuação em pintura e funilaria automotivas;
Abastecimento de linhas produtivas;
Montagem de equipamentos, operação, manutenção e limpeza de máquinas e assistência aos operadores;
Realização de transferência de turno, passando as informações importantes para a equipe do próximo turno;
Auxiliar no processo de embalagem e montagem do produto;
Prezar pela segurança da área, da empresa e dos colegas de trabalho, seguindo normas e procedimentos específicos;
Seguir as normas de segurança estabelecidas pela empresa para que possa realizar as atividades de maneira segura;
Revezar os postos de trabalho.
Suas Competências e Habilidades (qualificações mandatórias):
Formação: Ensino Fundamental Completo com certificado;
Homens devem ter Certificado de Reservista (Dispensa);
Disponibilidade para atuar em Gravataí;
Disponibilidade de trabalhar em qualquer um dos turnos;
Disponibilidade de trabalho aos finais de semana, caso haja necessidade.
O que pode lhe dar uma vantagem competitiva (qualificações desejáveis):
Curso técnico e/ou do Senai;
Experiência em montagem ou vivência em indústria automotiva, autopeças, concessionárias, instalações de sons, pintura automotiva, funilaria, martelinho de ouro e tapeçaria.
Importante: Não esquecer de anexar o seu currículo ou sua candidatura não será considerada .
]]>
Primary Responsibilities:
Compensation
The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of New York, Colorado, California, or Washington.
The salary range for this role is $160,200 to $246,300. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.
Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.
Benefits
GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.
Company Vehicle
"Upon successful completion of a motor vehicle report review, you will be eligible to participate in a company vehicle evaluation program, through which you will be assigned a General Motors vehicle to drive and evaluate. Note: program participants are required to purchase/lease a qualifying GM vehicle every four years unless one of a limited number of exceptions applies.”
Vacancy Status:
This posting is not for an existing vacancy within the organization and is open to new applications.
AI Disclosure:
As part of the application process, Artificial Intelligence will be used in the hiring process for this role
Work Arrangement: This role is categorized as hybrid. This means the successful candidate is expected to report to the office three days per week, at minimum
The Role:
General Motors is undergoing a major transformation in how we design, develop, and validate software. As part of the Software Defined Vehicle – Embedded Platforms organization this role is within the Virtualization and Software-in-the-Loop (SIL) group, which is responsible for creating virtual in-the-loop environments to enable development, verification, and validation of embedded controllers, production software, and calibrations across the vehicle/mechatronics domains.
You will join our engineering organization as a Software Development Engineer in Test (SDET), responsible for building robust, scalable, and automated testing solutions that ensure the quality, reliability, and performance of our products. This role blends software engineering with a passion for quality, enabling you to influence architecture, improve testability, and drive engineering excellence across teams.
What You'll Do (Responsibilities):
Design automated test frameworks — Build and maintain scalable automation frameworks for UI, API, and integration testing.
Develop high‑quality test automation — Write clean, maintainable, and efficient automated tests using modern tools and languages.
Collaborate with mechatronics engineering teams — Partner with developers, product managers, and QA to define test strategies and ensure testability in design.
Improve CI/CD pipelines — Integrate automated tests into continuous integration systems and optimize build/test workflows.
Analyze defects and root causes — Investigate failures, identify patterns, and drive long‑term quality improvements.
Champion quality engineering practices — Advocate for automation, code quality, and engineering excellence across the organization.
Your Skills & Abilities (Qualifications):
Bachelor's degree in engineering, Computer Science, or related field.
7+ years of relevant experience.
Strong programming skills in Python, other languages such as Java, C#, or JavaScript are a bonus.
Experience with test automation tools like Selenium, Playwright, Cypress, Appium, or similar.
Solid understanding of QA methodologies, testing types, and software development lifecycles.
Hands‑on experience with APIs and tools such as Postman, REST Assured, or similar.
Familiarity with CI/CD systems such as Azure DevOps, GitHub Actions, Jenkins, or GitLab.
Strong debugging and analytical skills with the ability to isolate issues quickly.
Experience working in Agile environments and collaborating in cross‑functional teams.
What Will Give You a Competitive Edge (Preferred Qualifications) :
Experience with cloud platforms such as Azure, AWS, or GCP.
Performance or load testing expertise using tools like JMeter, k6, or Gatling.
Security testing exposure or familiarity with OWASP principles.
Knowledge of containerization (Docker, Kubernetes) and microservices testing strategies.
Background in test data management and environment configuration.
Contributions to automation framework design at scale.
Compensation:
The salary range for this role is $115,000 to $164,600. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.
GM DOES NOT PROVIDE IMMIGRATION-RELATED SPONSORSHIP FOR THIS ROLE. DO NOT APPLY FOR THIS ROLE IF YOU WILL NEED GM IMMIGRATION SPONSORSHIP NOW OR IN THE FUTURE.
Benefits Overview
The goal of the General Motors of Canada total rewards program is to support the health and well-being of you and your family. Our comprehensive compensation plan currently includes the following benefits, in addition to many others:
Paid time off including vacation days, holidays, and supplemental benefits for pregnancy, parental and adoption leave;
Healthcare, dental, and vision benefits;
Life insurance plans to cover you and your family;
Company and matching contributions to a Defined Contribution Pension plan to help you save for retirement;
GM Vehicle Purchase Plan for you and your family.
A posição:
Buscamos uma pessoa analítica, curiosa e mão na massa, com foco em performance, mas que entenda o papel da mídia como um todo no funil.
O que você irá fazer (responsabilidades):
Apoiar a execução do plano de mídia da GM Brasil, com foco em campanhas digitais e de performance.
Desenvolver e acompanhar estratégias de mídia online e offline alinhadas aos objetivos de marca e negócio.
Atuar em parceria com agências de mídia, acompanhando planejamento, implementação, otimização e resultados das campanhas.
Monitorar KPIs e performance de canais como Google Ads, Meta Ads e mídia programática, propondo melhorias contínuas.
Construir dashboards e relatórios, transformando dados em insights para apoiar a tomada de decisão.
Apoiar o controle de investimentos, gestão de orçamento e processos financeiros da área.
Contribuir para iniciativas de inovação, testes de audiência, formatos e canais, buscando maior eficiência e geração de leads.
Trabalhar de forma integrada com times internos e parceiros externos para garantir excelência na execução e entrega dos resultados.
Localidade: São Caetano do Sul/SP
Suas habilidades e competências (qualificações obrigatórias):
Formação superior completa;
Inglês avançado;
Experiência prévia em mídia digital e performance (planejamento, compra e/ou otimização de campanhas);
Vivência com estratégias de mídia integrada (offline + online) e entendimento de funil de comunicação;
Forte perfil analítico, com conforto em trabalhar com KPIs, dados de performance e ferramentas de relatórios/dashboards;
Conhecimento de plataformas como Google Ads, Meta Ads e, desejável, alguma experiência com mídia programática
O que pode lhe dar um diferencial competitivo (qualificações desejáveis):
Experiência prévia em performance para varejo ou e-commerce;
Atuação anterior em setor automotivo ou bens de consumo;
Experiência em rotina com agências de mídia e/ou anunciantes de médio/grande porte;
Boa organização e disciplina para controle de investimentos e acompanhamento de múltiplas campanhas em paralelo;
Perfil colaborativo, com boa comunicação para interação com diferentes áreas e parceiros externos.
Espanhol intermediário.
#LI-AS
]]>The Deal Lead, Corp Dev IT partners with Core IT and the business to run complex, high‑visibility initiatives across General Motors. The role plans, tracks, and advances Corp Dev IT work for joint ventures, mergers and acquisitions, and other strategic partnerships, including IT due diligence and integration planning for new deals. You will coordinate dependencies across a broad IT landscape, manage risks, and keep teams on track against critical business milestones. Success requires strong enterprise IT knowledge, sound business judgment, and the ability to influence outcomes across organizations without direct authority.
What You’ll Do
Partner with Core IT and the business to plan and execute Corp Dev IT initiatives across joint ventures, mergers and acquisitions, and other partnership efforts.
Participate in IT due diligence activities for new deals and support Day 1 / Day 2+ planning for endpoints, identity, collaboration, and support.
Build and maintain integrated plans, milestones, dependencies, risks, issues, and decision logs across multiple IT and business workstreams.
Serve as a central coordination point across IT and corporate partners so teams stay aligned on scope, timing, readiness, and key deliverables.
Track program health and provide clear, concise status reporting, escalations, and executive‑ready updates for leaders and stakeholders.
Help shape repeatable ways of working, playbooks, and governance for Corp Dev IT so the organization can execute deals and strategic relationships more consistently.
Identify delivery risks, organizational friction points, and gaps early, then influence the right stakeholders so IT work stays aligned with business, partnership, and integration goals.
Your Skills & Abilities (Required Qualifications)
Bachelor’s degree in Information Systems, Business, Engineering, Computer Science, or equivalent experience.
6+ years of experience in program management, project management, IT operations, enterprise technology, or a related field.
3+ years leading large, cross‑functional initiatives that span multiple teams, functions, or business areas.
Strong understanding of how IT operates in a large enterprise (infrastructure, security, identity, collaboration, applications, and support).
Demonstrated experience building and managing program plans, milestones, risks, issues, dependencies, and executive status updates.
Proven ability to influence without direct authority and drive progress across teams with competing priorities.
Strong business acumen and ability to connect technology work to business strategy, operating goals, and partnership outcomes.
Excellent written and verbal communication skills for technical teams, business stakeholders, and senior leaders.
Strong organization, attention to detail, and follow‑through in fast‑moving, ambiguous environments.
What Will Give You a Competitive Edge (Preferred Qualifications)
Experience supporting mergers and acquisitions, joint ventures, strategic partnerships, or other cross‑company initiatives.
Familiarity with IT due diligence, Day 1 readiness, Day 2 integration planning, or post‑close operating models.
Experience working across corporate functions such as Legal, HR, Finance, Security, and Corporate Development.
Experience building or improving governance models, program playbooks, operating rhythms, or portfolio reporting.
Comfort working in environments where success depends on relationship‑building, judgment, and informal leadership as much as process discipline.
Experience with enterprise program and reporting tools such as Jira, Confluence, ServiceNow, Power BI, or similar platforms.
This job may be eligible for relocation benefits.
GM DOES NOT PROVIDE IMMIGRATION-RELATED SPONSORSHIP FOR THIS ROLE. DO NOT APPLY FOR THIS ROLE IF YOU WILL NEED GM IMMIGRATION SPONSORSHIP (e.g., H-1B, TN, STEM OPT, etc.) NOW OR IN THE FUTURE.
]]>Hybrid. This position requires an employee to be on-site a minimum of 3 days per week at the GM Global Technical Center in Warren, MI.
Sponsorship: GM DOES NOT PROVIDE IMMIGRATION-RELATED SPONSORSHIP FOR THIS ROLE. DO NOT APPLY FOR THIS ROLE IF YOU WILL NEED GM IMMIGRATION SPONSORSHIP (e.g., H-1B, TN, STEM OPT, etc.) NOW OR IN THE FUTURE.
The Role:
The Warehouse Management Systems (WMS) Project Lead role offers a unique opportunity to shape how General Motors manages material flow across our assembly plants. You will help lead the factory of the future by implementing WMS solutions that are fully integrated with advanced automation technologies. In this role, you will collaborate with cross-functional teams to map processes, plan and design solutions, configure systems, conduct testing, deliver training, and manage deployment tasks from start to finish to execute a WMS project, developing a long-term vision for material flow automation, including ASRS (Automated Storage and Retrieval Systems) and AMRs (Autonomous Mobile Robots), as well as lean material strategies in GM Assembly, Propulsion, RESS and LOCs facilities. Additionally, you will develop, recommend, and implement changes which will result in the improvement of materials and manufacturing processes, improve part delivery & movement accuracy, and reduce overall cost of material handling. Success in this role requires adaptability, strong technical and project management skills, and the ability to thrive in a dynamic, fast-paced manufacturing environment.
What You'll Do: (Responsibilities):
Lead large-scale WMS project deployments, managing over 500 deliverables and providing technical direction throughout the implementation lifecycle.
Translate business needs and data insights into clear, actionable requirements and communicate effectively with stakeholders and cross-functional teams.
Develop business process models and write detailed functional and non-functional requirements/user stories.
Plan and design solutions, configure systems, execute, manage user acceptance testing (UAT) and deliver training to super key users and overall workforce to ensure successful system adoption.
Work extensively with data using WMS platforms, Excel, and database softwares to execute a WMS project start to finish, supporting decision-making and operational improvements.
Analyze WMS and GMOS (time study tables) data to identify trends, solve complex problems, and drive continuous improvement.
Design and implement automated data and reporting solutions that deliver actionable insights across all organizational levels.
Apply advanced industrial engineering and lean manufacturing principles to create studies and optimize material handling / warehouse operations.
Map and evaluate automotive production and material handling processes to identify efficiency opportunities and support operational excellence.
Collaborate across departments to identify and implement cost-saving initiatives through data-driven system enhancements.
Act as a change agent, influencing stakeholders and driving alignment on transformation initiatives.
Define and execute a strategic vision for end-to-end WMS transformation
Your Skills & Abilities: (Required Qualifications):
Bachelor’s degree in Engineering, Supply Chain management, Logistics, Information Technology or equivalent experience.
5+ years of experience of Supply chain, Materials Handling, Warehousing business processes, systems and database, Industrial Engineering or Manufacturing environment.
Ability to work / rotate through all 3 shifts (1st, 2nd & 3rd).
Ability to work over-time, weekends, holidays, etc. as needed.
Demonstrated success in configuring, testing and deploying multiple Warehouse Management Systems (WMS) projects and integrating WMS with multiple other systems and technologies like AMR/AFT (Automated Mobile Robots/Automated Fork Trucks), ASRS (Automated Storage and Retrieval Systems) and others (Dock scan tunnels, RFID, Drones, etc ) within complex manufacturing environments.
Proven experience in managing projects, prioritizing tasks, meeting deadlines, and working effectively both independently and within teams.
Proven hands-on experience in managing warehousing, distribution, and/or manufacturing operations
Strong foundation in industrial engineering, lean methodologies, and continuous improvement practices
Strategic thinker with a strong bias for action and execution.
Advanced analytical and problem-solving capabilities to address complex, non-standard challenges.
Creative, flexible, and proactive in navigating fast-paced, evolving environments.
Ability to develop business process models and deliver end-user documentation and training materials.
Exceptional interpersonal and communication skills, with a proven ability to build relationships across technical and operational teams.
Strong customer orientation with the ability to translate business needs into scalable technical solutions.
Comfortable in building and leading cross-functional teams and adapting to shifting priorities.
Dedicated to innovation, quality, and team empowerment.
Analytical thought / Problem solving processes.
Ability to quickly learn and apply new technologies.
High expertise with WMS (Manhattan, SAP or INFOR) systems is mandatory.
High expertise in Excel, PowerPoint, Visio Flows, Power BI, Database tools.
Ability to travel 30% of the time or higher based on business needs domestically and/or internationally.
What Will Give You a Competitive Edge (Preferred Qualifications):
Knowledge of Data Analysis (Knime/SQL/Python/VBA/Databricks)
Knowledge of GM systems (MGO, EPS/PPD, PPS, VAAS)
Hybrid: This role is categorized as hybrid. This means the successful candidate is expected to report to Milford, Michigan three times per week, at minimum.
The Role:
GM is undergoing a major transformation—reimagining how we operate and shaping the future of transportation through electrification, autonomous technology, and software-defined vehicles. At the heart of this transformation is our Vehicle Mechatronics Embedded Controls (VMEC) team, leading the charge with high-impact innovation and cutting-edge software development.
We are looking for a high performing Senior Software System Architect to lead and mentor the VMEC software organization in developing high quality, well architected software for present and future vehicles. In this role, you will be collaborating cross functionally and lead Product Engineering / Agile Release Team (ART) in both strategic and tactical manner on software design, construction, architecture, maintenance, quality and computing foundations.
What You’ll Do:
Define a high-level architectural design for the software owned by the Agile Release Train (ART), comprehending all NFRs and future technical directions thereby enabling the Continuous Delivery Pipeline.
Lead creation of new components, re-architecting software for evolving requirement and improve quality, maintainability, and scalability.
Develop the architectural runway for the ART, comprehending all Enabler Epics, Business Epics, and all System Architect variant architectural roadmaps.
Drive software quality improvements into the software owned by the ART with a focus on Software Structural Quality Assurance (SSQA) and evaluating code for controller resource improvements.
Support Agile framework related planning and work acceptance meetings (PI, Pre-PI, Post-PI, system demos, I&A, architecture sync, etc.)
Drive alignment with other Software System Architects and System Architect variants.
Establish Software Non-Functional Requirements (NFRs) and participate in the definition of the NFRs for the other System Architect variants.
Work with the PMT and operate within an economic framework to analyze the impact of design decisions and help plan both business and enabler work.
Break large architectural initiatives into features and stories that can be executed in the 2-week sprint increments.
Work with the ART Manager/lead to add architectural items to the Definition of Done which affects the acceptance of stories.
Drive organization toward compliance with GM software guidelines/standards/processes and Industry Standards (MISRA/CERT C)
Improve the software and software architecture knowledge of the team. Host Lunch and learns, train and mentor software developers.
Perform other related duties as assigned.
Your Skills & Abilities (Required Qualifications):
BS in Computer Engineering, Computer Science, Electrical Engineering, Mechanical Engineering, or Aerospace Engineering required.
5+ years of experience demonstrating technical and professional skills in job-related area required.
Good understanding of software development process and best practices.
Proficient in C/C++ or similar programming language.
Proficiency in embedded controls and software architecture and design trade-offs.
High level of interpersonal skills to work independently and effectively with others.
Ability to think critically and provide effective solution to complex issue.
Ability to prioritize work with only limited direction from manager.
Ability to train/mentor others.
High level of oral and written communication skills. Ability to communicate intent to leadership and technical details to executing teams.
What Will Give You A Competitive Edge (Preferred Qualifications):
MS in Computer Engineering, or Computer Science, Electrical Engineering preferred.
8+ years of experience demonstrating technical and professional skills in job-related area required.
Experience with architecture design, controller resource utilization reduction, or training.
Experience successfully leading activities/projects with high levels of ambiguity.
3+ years’ experience in C/C++ Programming.
2+ years’ experience in embedded controls and software.
Experience working in Agile Environment.
Familiarity with SDV Architecture.
GM Defense is moving fast to deliver advanced mobility solutions for government markets. We are seeking a highly capable Lead Software & Controls Engineer to design, develop, and implement custom embedded control algorithms, and drive architectural software decisions. This position will support both vehicle and non-vehicle applications across our unique portfolio.
Reporting to the EGM of Electrical Systems, Controls, and Software (ESCS) team, you will be hands-on in writing code and integrating requirements specific to GM Defense platforms while providing technical leadership. This is a fast-paced role where you will operate with a high level of independent judgment to immediately impact compressed-timeline programs—such as developing in-house controls solutions (like custom Vehicle Interface Modules) and optimizing system performance across complex electrical architectures.
What You'll Do
Key Responsibilities
Your Skills & Abilities (Required Qualifications)
What Will Give You A Competitive Edge (Preferred Qualifications)
#GMD
]]>Every day, our products move millions of people as we aim to make driving safer, smarter, and more connected, shaping the future of transportation on a global scale.
The Role
The Chiller Technician reports to the Group Leader of the Engineering Maintenance and Technical Support (EMT) support organization. The EMT team is primarily responsible for specifying, sourcing, engineering, integrating, safely commissioning and developing a robust maintenance model for test equipment within the lab. This role directly affects the quality, durability and performance of vehicles and related products developed by General Motors.
This job is based in General Motors’ Milford Proving Grounds Energy and Emissions Laboratories. The lab and results it produces are used by GM’s growing team of engineers in support of the vision of a world with Zero Crashes, Zero Emissions and Zero Congestion.
The Chiller Technician role is a good fit for a qualified individual who is interested in state-of-the-art technologies and testing methods, system-level integration, and related equipment in a laboratory setting.
What You'll Do
Large tonnage chiller operation, in depth diagnostics, troubleshooting and maintenance including Universal Refrigerant Handlers License
Low pressure/ Low temperature systems
DX, flooded and absorption systems
Reciprocating, Screw, Scroll and Centrifugal compressor operation
Air- and water-cooled condensing systems
Strong in reading wiring schematics, electrical troubleshooting complex circuits and systems that may have redundant feeds or mixed voltages up to 480 volts
Be able to track, troubleshoot and diagnose building electrical distribution
Competent in use of multi-meter, megger and signal generator operation
Understand shut trip operation, gas detection system integration and be able to troubleshoot multi feed systems
Solar Array panel diagnostics
UPS System diagnostics
High Voltage capable up to but not limited to 4160 volts
Complete understanding in theory and operation of mechanical pump circuits with bypass control and multiple load sources. Be competent in reading one line drawings of mechanical systems
Have experience with pneumatic control or actuated systems
Possess solid background in preventative maintenance on many different types and styles of equipment including building and process
Understand wind tunnel design, operation and troubleshooting
Complete understanding of steam used in heating, humidity control and building systems including steam generation.
Be able to troubleshoot traps, condensate systems, steam to product heat exchangers and other systems dependent on steam operation
Have a solid understanding of chemistry and PH control in product systems used in the facility
Be able to understand and troubleshoot Variable Frequency Drive operation, control and adjustment
Experienced in rigging equipment and unstable loads
Operate forklift, powered man lifts and other powered equipment commonly used in facility service
Able to use dial indicator and laser guided alignment tools to precise measurements
Be familiar with vibration data collection, ultrasonic testing and thermal imaging to be used in predictive maintenance program
Heavy lifting as required
Able to work at heights and in various temperatures as required
Have good organizational skills, be a solid communicator who is timeline motivated with a safety-based mindset
Serve as a contact to internal and external stakeholders for Engineering Maintenance and Technical support related activities, including day-to-day operations and future planning initiatives
Monitor ongoing tasks, providing regular status reports to stakeholders and leadership while proactively identifying and escalating roadblocks when appropriate
Act as a technical resource to internal and supplier teams in all aspects of Engineering Maintenance and Technical Support
Ability to create, launch, and execute a preventative equipment maintenance system and related plans for key facility infrastructure supporting testing activities
Your Skills & Abilities (Required Qualifications)
5+ years of related experience in Large Tonnage Chiller service role
Demonstrated knowledge and experience with Maximo as used for Preventive maintenance, planning and execution
Demonstrated ability to work with a high level of autonomy in a complex environment, managing multiple maintenance events, by establishing priorities and executing with minimal supervision
Experience with equipment used in Emissions Development and Certification testing (Building and Process)
Experience utilizing building management systems for diagnosis and troubleshooting overall operation
Experience working with equipment suppliers and installation contractors
Demonstrated ability to work effectively within a multi-disciplinary team, where issues are complex in nature
Ability to read and interpret P&ID/One line/ Electrical and Control diagrams for use in diagnosis and troubleshooting of hardware
What Will Give You a Competitive Edge (Preferred Qualifications)
10+ years of related experience in Chiller service role
Understand wind tunnel design, operation, and troubleshooting
Understanding of theory, operation, and application of mechanical pump circuits, steam, humidity control, Reverse Osmosis and CAP DI systems used to support process operation
Vibration data collection, ultrasonic testing, and thermal imaging exposure to be used in predictive maintenance programs
Demonstrated knowledge and experience with Maximo as used for Preventive maintenance, planning and execution
Experience with equipment maintenance processes in an industrial setting
Experience working in an ISO 17025 or ISO 9001 accredited environment
GM does not provide immigration-related sponsorship for this role. Do not apply for this role if you will need GM immigration sponsorship now or in the future. This includes direct company sponsorship, entry of GM as the immigration employer of record on a government form, and any work authorization requiring a written submission or other immigration support from the company (e.g., H1-B, OPT, STEM OPT, CPT, TN, J-1, etc).
]]>This role is not eligible for relocation assistance.
At General Motors, our product teams are redefining mobility. Through a human-centered design process, we create vehicles and experiences that are designed not just to be seen, but to be felt. We’re turning today’s impossible into tomorrow’s standard —from breakthrough hardware and battery systems to intuitive design, intelligent software, and next-generation safety and entertainment features.
Every day, our products move millions of people as we aim to make driving safer, smarter, and more connected, shaping the future of transportation on a global scale..
About the Role:
We are seeking a proactive, self-starting, results-driven engineer who continuously looks for innovative ways to improve designs and processes, proactively identifies and solves problems, challenges the status quo, and takes full ownership from concept through execution to reliably deliver high-quality results.
The Wiper/Washer Design Release Engineer (DRE) in the Exterior Hardware SMT is responsible for the design, development, and integration of wiper and washer systems for Global vehicle programs. This role ensures component and subsystem design, with a strong focus on requirements, DFMEA failure modes, best practices, and seamless integration into the overall vehicle (Body, Electrical, Software, and related interfaces).
GM DOES NOT PROVIDE IMMIGRATION-RELATED SPONSORSHIP FOR THIS ROLE. DO NOT APPLY FOR THIS ROLE IF YOU WILL NEED GM IMMIGRATION SPONSORSHIP NOW OR IN THE FUTURE. THIS INCLUDES DIRECT COMPANY SPONSORSHIP, ENTRY OF GM AS THE IMMIGRATION EMPLOYER OF RECORD ON A GOVERNMENT FORM, AND ANY WORK AUTHORIZATION REQUIRING A WRITTEN SUBMISSION OR OTHER IMMIGRATION SUPPORT FROM THE COMPANY (e.g., H-1B, OPT, STEM OPT, CPT, TN, J-1, etc.)
#LI-JN1
]]>The General Motors Manufacturing Group is seeking to identify highly motivated and qualified individuals for current and potential future opportunities as a Group Leader. In anticipation of these openings becoming available, we welcome you to apply so we can begin the pre-screening and interview process.
The Role:
The Maintenance Group Leader will be responsible for leading a group of skilled, hourly workers to troubleshoot and repair complex equipment and processes. This position requires the ongoing application and enforcement of the National and Local UAW Agreements. Candidates must possess technical expertise to oversee and support maintenance operations, exercising independent judgment within the framework of Global Manufacturing Systems, with a focus on Safety, People, Quality, Responsiveness, Cost, and Environment (SPQRCE)
Selected candidates will gain the chance to develop new skills while contributing to the advancement of manufacturing processes that support the groundbreaking shift toward electric and autonomous vehicles.
What You'll Do (Responsibilities):
Specific physical requirements of the position include the ability to:
Your Skills and Abilities (Required Qualifications):
What Can Give You a Competitive Edge (Preferred Qualifications):
About the Team
The Evaluation Foundations team, part of Embodied AI's Scaling Foundations, solves critical evaluation challenges for autonomous vehicle development. We engineer high-performance tools that identify top-performing models and partner with data-intensive ML teams to drive rapid innovation.
Why Join Us?
Develop introspection and evaluation tools capable of processing billions of examples to extract maximum value from our large-scale datasets.
Join a high-impact team of engineers and machine learning scientists leveraging advanced AI to drive L2, L3, and L4 autonomous vehicle innovation.
Directly influence the safety, reliability, and scalability of next-generation autonomous systems.
About the Role
As a Senior Engineer in the Embodied AI Scaling Foundations organization, you will be a key technical contributor on the team that measures and visualizes AV model performance. You will work across the stack to design, implement, and iterate on evaluation and introspection tools used by Embodied AI and adjacent GM AV teams In this role you will:
Build and improve high-quality evaluation signal and introspection tools that help shorten the experimental path towards the best model.
Develop and maintain visualization and metrics presentation within our model evaluation loop.
Help teams introspect model behavior and reach actionable next steps with fewer manual steps.
Participate in design and code reviews and work with Data, Infra, and validation teams to connect offline evaluation with real-world behavior.
You will collaborate closely with modeling and data scaling teams working on our Compound AI driving models to design and implement evaluation workflows at scale with model-based metrics, end-to-end simulation, and tooling that connects evaluation signals back to data, training, and launch decisions.
Your work contributes to a cohesive evaluation flywheel: better signal → better data and training decisions → better models → better signal.
Your Skills & Abilities (Required Qualifications)
3+ years of relevant industry experience
Familiarity and experience with at least some of the following key technologies:
Backend: Python, node.js, high-throughput data streaming.
Frontend: React/TypeScript, WebGL/WebGPU (for 3D sensor visualization), Streamlit, Jupyter notebooks.
Data/Infra: Spark for stream processing, BigQuery, Kubernetes.
Strong communication skills and ability to collaborate effectively across engineering partners.
Bachelor's degree in Computer Science or related field or equivalent experience
What Will Give You A Competitive Edge (Preferred Qualifications)
Previous experience in Robotics or Autonomous Driving
5+ years of relevant industry experience
Master's or PhD degree in Computer Science or related field or equivalent experience
Experience shipping production software and iterating quickly in a "startup within an enterprise" environment.
Compensation: The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of New York, Colorado, California, or Washington.
· The salary range for this role: is $144,700 to $261,300. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.
· Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.
· Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.
#GM-AV-1
]]>We are seeking a highly skilled Mechanical Design Engineer to lead the in-house mechanical design and CAD development of next-generation display systems for GM's Software Defined Vehicles (SDVs). In this role, you will be responsible for creating innovative mechanical design solutions that integrate advanced electronics, styling requirements, manufacturability, and vehicle packaging constraints.
You will own the mechanical architecture and CAD development for display systems, including styled surfaces, decorative components, display panels, PCBs, connectors, mounting strategies, and B-side integration features such as clips, fasteners, and attachment structures. Success in this role requires strong collaboration across Engineering, Design Studio, Manufacturing, CAE, and supplier teams to deliver world-class display experiences.
This position is ideal for someone who enjoys solving complex integration challenges, influencing vehicle programs from concept through production, and driving best practices in virtual vehicle integration and display design.
You'll have the opportunity to shape the future of the in-vehicle experience by designing display systems that define how customers interact with GM's next generation of Software Defined Vehicles. Working alongside world-class engineering and design teams, you'll play a key role in bringing innovative display technologies from concept to production.
#LI-JK3
]]>The Role -
GM Design China is seeking a Advanced CMF and Brand Designer to lead forward-looking color, material, and finish strategy across concept, advanced, and production-relevant vehicle programs. This role is responsible for shaping a strong CMF point of view for the brand, identifying future design opportunities, and translating cultural insight, trend foresight, and material innovation into compelling design direction.
This is not simply a program execution role. The successful candidate will help define the next chapter of GM’s CMF expression in China by building advanced proposals, influencing brand material strategy, and guiding the development of distinctive, emotionally resonant, and future-facing CMF experiences across interior, exterior, and holistic brand touchpoints .
The role also carries an important brand-facing responsibility , with an approximate split of 70% Advanced CMF and 30% brand . This designer will help articulate how Design contributes to brand meaning, desirability, and storytelling, and will interface closely with marketing and communications partners to ensure Design direction can support broader brand narratives, launch stories, and customer-facing content.
The Role & What You’ll Do
Your Skills & Abilities (Required Qualifications) :
What Will Give You a Competitive Edge (Preferred Qualifications)
This job may be eligible for relocation benefits.
The Role:
You will be responsible to Manage daily plant floor requests to support high level problem solving and develop quick containment action with robust long-term corrective actions. Present the teams with clear problem definition and technical guidance on complex problems. Support the plant in monitoring execution and compliance to the global quality requirements and GMS processes. Manage projects as requested by plant leadership. In this position you will be supporting an off shift, you will need to be able to work autonomously, with occasional guidance from supervision.
What You'll Do (Responsibilities):
· Manage multiple projects with broad scope and high degree of difficulty.
· Generate unique technical solutions utilizing 7 Diamonds Process, Red X and other tools as applicable
· Assist production and trades teams in prevention of defect occurrence and recommend process changes
· Review of nonconforming parts and sub-assemblies for proper initial disposition and root cause follow-up
· Coordinate engineering change implementation through PFCM
· Support improvements through TIP (Throughput Improvement Process), ensure high-yield and productivity
· Lead continuous improvement projects for product quality and process stability/capability
· Close communication with multi-functional teams, including Production, Engineering, Quality, and GSC.
Your Skills and Abilities (Required Qualifications):
· Degree in Engineering or equivalent experience
· 3+ years of relevant experience
· Demonstrated ability to attain results, while balancing technical solutions with business imperatives
· Solid analytical/problem solving skills with capability to identify solutions to unusual and complex problems
· Generate technical solutions utilizing 7 Diamonds, Red X, DFMEA and other tools as applicable
· Exercises independent judgment in managing complex and ambiguous tasks with minimal input from supervisor
· Understanding of GMS, Quality Systems, and lean concepts
· Thorough understanding of manufacturing processes.
· Strong team orientation, availability and willingness to work off shift and weekend schedules.
What Can Give You a Competitive Edge (Preferred Qualifications):
· Proficient in use of Flexnet, Q-Stat, FIT and VisMock-Up or UG
· Understanding of Process Control Plans and Process Failure Modes Effect Analysis
· Demonstrated effective use of Red X Problem Solving
· Knowledge and experience in foundry operations
Sponsorship:
GM DOES NOT PROVIDE IMMIGRATION-RELATED SPONSORSHIP FOR THIS ROLE. DO NOT APPLY FOR THIS ROLE IF YOU WILL NEED GM IMMIGRATION SPONSORSHIP (e.g., H-1B, TN, STEM OPT, etc.) NOW OR IN THE FUTURE.
]]>What you will do (responsabilities):
Lead the strategy and performance of GM South America's Parts & Accessories e-Commerce and digital channels.
Drive growth across Parts & Accessories marketplaces, B2B/B2C platforms, and digital sales channels.
Enhance customer experience, digital marketing, and dealer engagement for Parts & Accessories sales.
Deliver sales growth, profitability, and business performance targets across the Parts & Accessories digital ecosystem.
Lead digital transformation and channel development initiatives for GM's Parts & Accessories business.
Location: São Caetano do Sul/SP
Your skills and abilities (required qualifications):
Bachelor's degree in Business, Marketing, Engineering, Economics, Data Science, or related field.
Advanced English; Portuguese or Spanish preferred.
MBA or postgraduate degree preferred.
Experience in e-Commerce, digital sales, marketing, commercial strategy, sales operations, or channel management.
Experience in the Parts & Accessories aftermarket business, including dealer networks, Genuine Parts, and ACDelco.
Experience leading teams, regional operations, external partners, and digital transformation initiatives.
Knowledge of marketplaces, B2B/B2C platforms, digital marketing, analytics, and conversion optimization.
Familiarity with digital platforms, systems integrations, and e-Catalog management.
Strong financial acumen, including P&L, budget, ROI, and performance management.
What may give you a competitive advantage (preferred qualifications):
Strategic mindset with a strong focus on results.
Business acumen and data-driven decision-making.
Experience developing commercial strategies and business cases.
Ability to lead cross-functional and regional teams.
Strong project management and prioritization skills.
Excellent stakeholder, dealer, and supplier management.
Strong presentation and executive communication skills.
Ability to influence, drive change, and solve complex problems.
#LI-AS
]]>The Role
Do you like to have a different day every day, connect with people and be the face of the most revolutionary car company in the world? Join us as a District Sales Manager!
The District Sales Manager (DSM) is responsible for managing and actively engaging dealers through regular in-person visits and hands-on collaboration. This role requires a strong on-the-ground presence, working directly with dealerships to support and represent the brand's products and services. They may be involved in various initiatives including developing and implementing marketing initiatives, customer retention, product displays, financial analysis, and training. All to ensure that our dealers understand and succeed in selling our products to the final customer. A day in the life of a DSM is very fast paced, and no two days will be the same. To succeed in this position, you must like to connect and influence people, but also be able to manage your time properly.
What You’ll Do
Act as a liaison between GM, its dealerships, and additional GM Partners
Grow and foster partnerships
Facilitate mentorship and consulting to ensure monthly/yearly sales objectives are met
Track dealership Customer Satisfaction Index (CSI) or other customer feedback resources to identify and address deficiencies or opportunities
Assist in product launches to ensure streamlined marketing and advertising between dealer, independent aftermarket (IAM) and GM
Monitor Dealership personnel training and ensure compliance with GM requirements/objectives
Assist with Dealership inventory management, including vehicle and or parts ordering and inventory stabilizing
Analyze Dealer sales, local market, and competition to identify revenue opportunities
Increase sales of GM vehicles and Accessory parts to its customers
Assist in customer problem resolution
Travel to your dealers in your designated region
Your Skills & Abilities (Required Qualifications)
Bachelor’s degree or 2+ years of relevant experience in lieu of a degree.
3+ years' experience in Sales, Marketing, or related fields with a proven track record of driving revenue growth.
Proficiency in Microsoft Excel, including data analysis, reporting, and visualization tools.
Able to travel 100% and be mobile now and in the future and able to relocate anywhere within the United States
Ability to travel up to 50% to different locations within your territory.
Ability to legally operate a motor vehicle on a regular basis
What Can Give You a Competitive Advantage (Preferred Qualifications)
Drives results and leads change with confidence and clarity.
Builds and maintains strong internal and external relationships.
Demonstrates strategic business planning capabilities to align dealership goals with broader organizational objectives.
Maintains a strong customer focus and resolves conflicts effectively.
Demonstrates strong problem-solving skills by identifying root causes, developing actionable solutions, and implementing improvements that enhance dealership performance and customer satisfaction.
Applies analytical thinking to solve complex problems and make data-informed decisions.
Leverage data analytics tools to extract actionable insights that drive revenue growth, optimize operational performance, and elevate the customer experience.
Excellent oral and written communication skills, with the ability to inform and persuade effectively.
Communicates persuasively and informatively across all levels.
Maintains a results-driven mindset, consistently pursuing excellence and accountability.
The ability to manage multiple tasks, adapt and thrive in a changing environment where there is a degree of ambiguity.
Takes initiative and thrives in dynamic environments.
Compensation: The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position, as well as geography of the selected candidate.
• The salary range for this role is $80,700-$109,400. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.
• Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.
Benefits:
• Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.
The Role
As a WMS Analyst , you will be responsible for planning, executing, deploying, and maintaining Warehouse Management System (WMS) processes and configurations to support efficient, reliable, and seamless operations. In this role, you will collaborate closely with cross-functional partners, including MGO, Electronic Pull Systems, and Production Pull Systems, to ensure effective system performance and operational continuity. As a key operational partner, you will work directly with GM Team Members, GSC Group Leaders, and Shift Leaders to address business needs, resolve WMS-related issues, and identify opportunities for continuous improvement. Additionally, you will provide training, coaching, and ongoing support to team members, helping strengthen system knowledge, enhance operational effectiveness, and foster a collaborative, inclusive, and high-performing work environment.
What You’ll Do
Evaluate current material processes compared to BOP and develop action items to resolved gaps
Actively participates in detail business requirements gathering and achievement of project milestones
WMS Training development and execution lead for End Users
Support operational Group Leaders, Team Leaders and Team members in troubleshooting and root cause analysis.
Identify, plan and lead operational plant readiness activities to deploy WMS
Planning and operational support for all systems (MGO, PPS, EPS, WMS)
WMS, EPS and PPS configuration focal point
Responsible for monitoring gaps in MGO routings and displacements
Responsible for planning, configuration, and validation of User Acceptance Testing (UAT) & Key User Training (KUT)
Operational WMS focal point after Go Live – ensures that there are no interruptions to the assembly line or warehouse due to system issues
Develop and lead Manual Operation Process (MOP) at the shop floor
Responsible for KPI’s, metrics, and data reporting to leadership and central office (including enhancements) aiming at Productivity Opportunities
Configuration lead for CI process – EPS/PPS/Sequencing/Kitting/build changes and the ability to adapt on the fly to changes that impact the production floor
Your Skills & Abilities
Experience using data, reporting tools, and dashboards to improve operational performance, productivity, and waste elimination.
Experience with supply chain execution and warehouse management systems, including MGO, PPS, PPD, or similar platforms.
Experience managing multiple priorities and projects simultaneously while meeting timelines and business objectives.
Knowledge of manufacturing and assembly operations, work measurement, and standard work practices.
Strong understanding of supply chain and material flow processes, including logistics, receiving, internal material movement, kitting/sequencing, scrap management, and obsolescence control.
Ability and willingness to work extensively with computer-based systems to configure, test, monitor, maintain, and troubleshoot WMS applications.
Advanced proficiency with Microsoft Office applications, particularly Excel, as well as Power BI, Access, and database management tools.
Strong analytical and problem-solving skills, with the ability to leverage data to identify root causes and implement effective solutions.
Demonstrated ability to plan, organize, and execute projects, including resource coordination, scheduling, and risk mitigation.
Strong communication and interpersonal skills, with the ability to build effective partnerships across all levels of the organization.
Ability to collaborate with internal and external stakeholders to understand business needs and drive continuous improvement.
Self-motivated, adaptable, and committed to continuous learning and professional development.
Ability to stay current with emerging technologies, industry trends, and AI-enabled tools that support data accuracy and process efficiency.
Willingness to travel locally, as needed, for training and business support activities.
Ability to work in a manufacturing environment and spend extended periods standing or walking within plant operations as required.
What Will Give You a Competitive Edge
Bachelor’s degree in Supply Chain Management or Engineering with 5 years of equivalent plant floor experience
Prior experience with a warehouse management system is preferred operating systems.
Multi plant and/or functional experience preferred
Experience with GMS SLT implementation and execution
Experience in a Materials Office environment
Every day, our products move millions of people as we aim to make driving safer, smarter, and more connected, shaping the future of transportation on a global scale.
The Role :
As a Vehicle Dynamics Performance Engineer, you’ll shape the driving character of GM vehicles by tuning suspension, steering, tires, and chassis systems. You’ll lead both virtual and physical development efforts, collaborating across engineering teams to deliver balanced, high-performance vehicles.
What You’ll Do (Responsibilities)
Your Skills and Abilities (Required Qualifications)
What Will Give You a Competitive Edge (Preferred Qualifications)
#LI-KE2
]]>Work Arrangement: This role is categorized as hybrid. This means the successful candidate is expected to report to the office four times per week or other frequency dictated by the business.
The Role
This position is based at GM Technical Centre India - Bengaluru, where our teams focus on manufacturing engineering in Automation. We specialize in designing, developing and operationalizing complex integrated production systems to deliver cost-effective solutions with highest standards of quality.
Automation work categorize into 2 types, Execution & Development.
During Execution role, The Controls engineer will be primarily responsible for execution of all Controls related projects in various capacities at GM plants across the Globe with respect to Safety, Delivery, Quality, Cost and Performance. In this position the Engineer will perform offline designs and online execution on various new or existing product programs across our portfolio. The incumbent will need to possess a broad technical knowledge, combined with creative and independent thinking and conceptual ability.
During Developmental role, the Controls Engineer will be responsible to work along with Regional & Global team/SMEs to develop & maintain engineering standards work related to Hardware/Software templates, e-tools, etc.
This position will be based out of GM Technical Center India in Bangalore and involves travel opportunities across different regions for project execution.
What You'll Do
Supervise and control projects including project scope, issues, risks and schedule. Handle issues to closure. Communicate project status and ensures all internal customers are aware of progress through project meetings, status reports and reviews.
Participate in Investment studies, preliminary design discussions for any new or expansion projects.
Responsible for inhouse engineering on Hardware designs, software designs, Emulation, Integration & Commissioning at site.
If its Turnkey project, Guide & approve Hardware/ Software designs done by contractors for various project in the region. Conduct offline testing & Buyoff at supplier’s site.
Implement GM Global tools for design of hardware & software to ensure minimum debug on site. Train suppliers and Engineers of other GM units.
Validate designs and provide feedback to Global Centre w.r.t GM standards.
Responsible for deploying GM Global standards across all projects.
Responsible for training and Integrating Suppliers to enforce to GM standards.
Responsible for performing Root cause analysis.
Prepare & Share lessons learnt for the projects completed.
Coordinate project timing schedule, design deliverables and safety aspects with team. Jointly conduct test runs for equipment at site as per process.
Coordination with other units of GM (worldwide) for Global projects.
Develop & Maintain components in Emulate 3D (Electrical & Mechanical)
Develop Electrical & Mechanical models using Emulate 3D
Thorough knowledge of Plant Floor System related to Automation.
Your Skills & Abilities (Required Qualifications)
Masters/ bachelor's degree in electrical engineering / Electronics Engineering / Instrumentation Engineering.
7+ years' experience in any Automotive companies or Software Companies with Automation background.
In depth knowledge of control systems and/or control systems in automotive assembly plants
Knowledge on PLC, HMI, Drives, Networks along with strong programming skills preferably Rockwell PLC.
Project management and site execution skills.
Thorough knowledge of Rockwell PLC software, Siemens HMI software as well as interfaces to other controls systems
Knowledge of Emulation softwares like Emulate 3D, etc
Knowledge of Machine Vision hardwares/softwares (Matrox)
Thorough knowledge of PLC hardware and software design and engineering
Knowledge of design for health and safety will be helpful
Knowledge on equipment selection, cost estimation, material procurement is an advantage
Should be able to read Electrical/mechanical drawings, layout and have design capabilities.
Acquaintance with Eplan for hardware design and experience on Siemens HMI will be an added advantage.
Ability to understand legacy equipment & propose solutions in case of upgradation.
Knowledge of interface to upper level systems.
Basic Knowledge on programming skills such as XML, C#, J Script, VBA, Python etc..
Knowledge on Robot Programming and troubleshooting, preferably FANUC Robots
Knowledge on Robotic applications like spot-welding, arc-welding, dispensing, roller hemming etc.
Acquaintance with Robot simulation studies and experience on Robot simulation software will be an added advantage.
Robot interface with other equipment (PLC, Line Controller, Other Machines etc). Experience in large BIW projects. Ability to understand electrical and electronic requirements for mechanical equipment’s.
What Will Give You A Competitive Edge (Preferred Qualifications)
Good communication and interpersonal skills.
Quick Learning & functional expertise.
Project management and site execution skills
Ability to work with intercultural, multi-disciplinary & remote teams to achieve functional goals.
Ability to organize, plan, prioritize and execute projects with a keen attention to details.
Willingness to travel across regions for executing projects.
In-House Hardware and Software controls experience is preferred
At General Motors, our product teams are redefining mobility. Through a human-centered design process, we create vehicles and experiences that are designed not just to be seen, but to be felt. We’re turning today’s impossible into tomorrow’s standard —from breakthrough hardware and battery systems to intuitive design, intelligent software, and next-generation safety and entertainment features.
Every day, our products move millions of people as we aim to make driving safer, smarter, and more connected, shaping the future of transportation on a global scale.
Role Overview
As a Senior Software Engineer (Dynamics and Controls), you will be a senior individual contributor in the Local Planner Controller team within Embodied AI. We formulate and solve optimization problems online, considering kinematic feasibility, collision avoidance, and ride comfort. In this role, you will provide cross-functional technical leadership for vehicle dynamics, estimation and controls systems used in GMs Super Cruise system. You will contribute to vehicle dynamics and controls software, drive design quality from architecture through validation, and align multiple teams to ship reliable, scalable autonomy capabilities that meet company goals.
You will:
Drive feature development for vehicle dynamics and controls software deployed to GMs Super Cruise system.
Architect and implement system designs and interface contracts with perception, prediction and planning systems, ensuring deliverables meet performance targets and safety constraints.
Lead technical reviews and drive software engineering best practices across the team and the larger organization.
Contribute to Active Safety, Driver Assistance, and Super Cruise.
Establish verification and validation strategies for the vehicle dynamics and controls software, including simulation and on-road testing validation gates.
Partner with Safety, Systems Engineering, and Product to generate requirements for onboard systems.
Lead root-cause investigations for complex integration issues, using data-driven techniques and principled experimentation, proactively creating test plans for new features and defining useful metrics for analyzing performance
Improve and deliver reliable software through continuous integration, automated testing, and code reviews.
Help define, build, and embody GM engineering culture and principles.
You have:
Ph.D., M.S. in controls, optimization, path planning, or related. B.S. with strong work experience in the field may be considered
3+ years of experience in motion planning or related field
Deep understanding of optimal controls and trajectory optimization algorithms
Good grasp of classical and modern feedback control theory and techniques
Solid understanding of vehicle dynamics
A demonstrated track record of building high quality autonomous software systems
Deep expertise in Planning and Controls system design
Experience with C++/Python in a large, distributed development environment
Strong organizational and communication skills
Passion for self-driving technology and its potential impact on the world
Bonus points:
A background in robotics, ROS, or the AV/ADAS industry
Experience in numerical optimization algorithms
Experience designing software applications for safety critical systems
Experience building and managing engineering teams
Compensation :
The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of the California Bay Area.
The salary range for this role is $158,000.00 to $241,900.00. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.
Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.
Benefits:
Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.
This job may be eligible for relocation benefits.
#GM-AV-1
Vacancy Status
Yes - This posting is for an existing vacancy within the organization and is open to new applications. (Backfill)
AI Disclosure
As part of the application process, Artificial Intelligence will be used in the hiring process for this role
Remote - This role is categorized as remote. This means the successful candidate may be based anywhere in Canada and is not expected to report to a GM worksite unless directed by their manager.
The Role:
The District Manager Sales will be responsible for leading, motivating and influencing their Dealers in Central & Southern Alberta.
In conjunction with the Regional Manager and the Regional Marketing Managers, the District Manager Sales will deploy initiatives towards the achievement of retail sales and market share goals, maximize revenue, in addition to building strong partnership with the Dealers by driving sales performance and improving customer experience.
The successful candidate will focus on and be measured on the following four key areas:
Drive retail sales and market share performance
Drive vehicle order coverage
Improve Customer Satisfaction and retail experience
Support adjacency revenue performance: Accessory sales, Service, OnStar & Leasing
What You’ll Do (Responsibilities):
Sales & Share Performance
Achieve retail sales and share objectives for the District through implementation of District & Dealer Action plans
Identify sales opportunities on the District through analysis of various data points such as sales, inventory, market share, demographic and competitive intelligence to increase performance
Analyze Dealership Operating Report to identify opportunities for efficiencies and sales growth
Drive Vehicle Order Coverage
Develop plans and strategies to maximize vehicle ordering coverage to drive retail sales growth
Analyze and align Dealer ordering patterns to regional strategies and market opportunities
Improve Customer Satisfaction and Retail Experience
Build a culture of customer focus within the Dealers and ensure processes and procedures are in place to support customers and build advocacy
Drive Customer Satisfaction Indec (CSI) performance and improve negative impact Dealership performance
Manage customer complaint issues appropriately and support resolving them with a “win-win” orientation
Champion improvement in retail digital customer experience and implementation of retail innovation that support retail experience improvement
Drive product training participation to help develop knowledgeable and passionate sales teams
Adjacency Performance
Drive Accessories revenue performance with strong (LPO) upfront ordering as well as effective showroom selling and merchandising
Drive OnStar activations with Welcome Call onboarding & Mobile App usage
Drive GM Financial Leasing Penetration
Your Skill & Abilities (Required Qualifications):
5 years of relevant work experience (District Sales Manager experience preferred)
Excellent communication, interpersonal and leadership skills
Proven track record of sales growth and relationship building
Outstanding analytical abilities combined with strong decision-making skills
Ability to work independently and in cross-functional environments
Understanding of OEM distribution processes, field sales tools and reports
Willingness to travel and to work extended hours on occasion if required (eg. month-end)
Valid Driver’s License
This role will be located in Calgary, AB area
Preferred Qualifications:
Prior District Manager Sales experience preferably 2 years
Education and Training:
Successful completion of a Bachelor's Degree or College Diploma preferably in Business.
Compensation
The salary range for this role is $76,100.00 to $114,300.00. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.
Benefits:
The goal of the General Motors of Canada total rewards program is to support the health and well-being of you and your family. Our comprehensive compensation plan currently includes the following benefits, in addition to many others:
Paid time off including vacation days, holidays, and supplemental benefits for pregnancy, parental and adoption leave.
Healthcare, dental and vision benefits including health care spending account and wellness incentive.
Life insurance plans to cover you and your family.
Company and matching contributions to a Defined Contribution Pension plan to help you save for retirement.
GM Vehicle Purchase Plan for you and your family.
GM DOES NOT PROVIDE IMMIGRATION-RELATED SPONSORSHIP FOR THIS ROLE. DO NOT APPLY FOR THIS ROLE IF YOU WILL NEED GM IMMIGRATION SPONSORSHIP NOW OR IN THE FUTURE.
]]>The successful candidate will design and implement machine learning, generative AI, and multi-agent solutions using complex, heterogeneous, and imperfect data structures. They will partner closely with business leaders, product owners, data engineers, software engineers, cloud architects, and technical stakeholders to translate business needs into scalable AI products and communicate technical outcomes in clear business terms.
The role requires strong experience with cloud-native data and AI architectures, especially Azure and Databricks, as well as the ability to operate across AWS and Google Cloud Platform. The scientist will work with governed lakehouse, data mesh, model-serving, MLOps, LLMOps, and enterprise integration patterns to deliver secure, reliable, and maintainable AI capabilities.
The role may work across the following technologies and patterns:
Programming and data science: Python, SQL, PySpark, pandas, NumPy, SciPy, scikit-learn, XGBoost, LightGBM, TensorFlow, PyTorch, and Jupyter-based development.
Data platforms: Azure Databricks, Databricks Lakehouse, Apache Spark, Delta Lake, Delta Sharing, Unity Catalog, Databricks SQL, Lakeflow Declarative Pipelines, Databricks Workflows, Lakebase, MLflow, Mosaic AI, Model Serving, Vector Search, AI Gateway, and Databricks Genie.
Azure: Azure Data Lake Storage Gen2, Azure Machine Learning, Azure OpenAI, Azure AI Foundry, Azure Event Hubs, Azure Data Factory or equivalent orchestration, Azure Functions, Azure Kubernetes Service, Azure Container Apps, Azure Key Vault, Azure Monitor, Application Insights, Microsoft Defender for Cloud, Azure API Management, Entra ID, and private networking patterns.
Google Cloud: Vertex AI, Gemini, Vertex AI Model Garden, BigQuery, Cloud Storage, Dataflow, Pub/Sub, Cloud Run, Google Kubernetes Engine, Cloud SQL, Secret Manager, Cloud IAM, Cloud Logging, and Cloud Monitoring.
AWS: Amazon SageMaker, Amazon Bedrock, S3, Glue, Athena, Redshift, EMR, Lambda, EKS, Step Functions, CloudWatch, IAM, and related data and AI services.
Generative AI and multi-agent systems: large language models, foundation models, embeddings, vector databases, retrieval-augmented generation, prompt engineering, structured outputs, function calling, tool use, agent orchestration, workflow engines, evaluation frameworks, guardrails, model routing, and human-in-the-loop controls.
Data integration and governance: Fivetran, change data capture, Event Hubs, Auto Loader, APIs, batch and streaming ingestion, data contracts, schema enforcement, data quality checks, data lineage, data catalogs, access controls, row- and column-level security, and governed data products.
Engineering and delivery: GitHub, GitHub Actions, Azure DevOps or equivalent CI/CD, Terraform, Docker, Kubernetes, Helm, REST APIs, FastAPI, OpenAPI, microservices, infrastructure as code, automated testing, feature flags, and release management.
Observability and operations: OpenTelemetry, Azure Monitor, Application Insights, CloudWatch, Google Cloud Monitoring, Datadog or equivalent monitoring platforms, centralized logging, model performance monitoring, data drift detection, concept drift detection, latency monitoring, cost monitoring, and incident response.
Analytics and business consumption: Power BI, Databricks SQL, semantic models, dashboards, governed data products, operational APIs, and embedded AI experiences.
Identify high-value business problems where machine learning, generative AI, or multi-agent systems can improve revenue, cost, risk, productivity, customer experience, or operational performance.
Translate ambiguous business objectives into well-defined analytical problems, measurable success criteria, model evaluation plans, deployment strategies, and adoption metrics.
Design, develop, validate, and deploy production-grade machine learning models across forecasting, classification, regression, optimization, anomaly detection, recommendation, natural language processing, computer vision, time-series analysis, and other relevant use cases.
Build and deploy generative AI and multi-agent solutions that coordinate specialized agents, tools, APIs, retrieval systems, workflows, and business rules to solve complex problems.
Design agentic systems with clear task decomposition, tool permissions, state management, memory boundaries, error handling, evaluation, observability, and human escalation paths.
Develop solutions that operate reliably across structured, semi-structured, and unstructured data, including fragmented data sources, inconsistent schemas, missing values, changing definitions, and data quality issues.
Engineer robust data and feature pipelines in partnership with data engineering teams using batch, streaming, CDC, and event-driven patterns while ensuring reproducibility, lineage, validation, versioning, and reliable access to model inputs.
Build lakehouse and data mesh solutions using Delta Lake, medallion architecture, domain-oriented data products, Unity Catalog, governed workspaces, and environment separation across development, test, and production.
Architect scalable cloud-based AI solutions using Microsoft Azure, Databricks, Amazon Web Services, and Google Cloud Platform.
Design for cloud portability and resilience when appropriate, including provider abstraction, model routing, active/passive or active/active deployment, disaster recovery, data residency, and controlled cross-cloud data movement.
Apply strong software engineering practices, including modular design, unit and integration testing, code review, version control, CI/CD, containerization, infrastructure automation, API design, secure secrets management, and production release discipline.
Implement MLOps and LLMOps practices for dataset, feature, model, prompt, agent, and evaluation versioning; automated testing; deployment; monitoring; drift detection; performance evaluation; cost management; and rollback.
Establish AI evaluation frameworks that measure factuality, relevance, groundedness, safety, bias, robustness, latency, cost, tool-call accuracy, task completion, and business usefulness.
Implement appropriate safeguards for AI systems, including security, privacy, access control, responsible AI, explainability, auditability, data classification, model governance, and compliance requirements.
Evaluate models and AI systems using both technical metrics and business outcomes, such as accuracy, calibration, latency, reliability, adoption, process efficiency, revenue impact, cost reduction, and risk reduction.
Conduct controlled experiments, pilot deployments, A/B tests, champion-challenger evaluations, and post-launch assessments to validate whether solutions produce sustained business value.
Diagnose model, data, pipeline, architecture, and production issues and lead remediation through root-cause analysis and cross-functional collaboration.
Present technical findings, model behavior, limitations, risks, architecture decisions, and recommendations to business and executive stakeholders in clear, decision-oriented language.
Explain business priorities and operational requirements to technical teams and translate them into effective data, modeling, architecture, and delivery decisions.
Mentor other data scientists and engineers by promoting sound modeling practices, production discipline, technical quality, documentation, and continuous learning.
Contribute to the strategic roadmap for machine learning, generative AI, and multi-agent capabilities, including technology selection, platform standards, reusable components, reference architectures, and operating models.
Bachelor’s degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related technical field; advanced degree preferred.
5+ years of experience developing and deploying machine learning or artificial intelligence solutions in production environments.
Demonstrated success delivering ML or AI solutions that generated measurable business impact, such as improved forecast accuracy, reduced cost, increased revenue, improved risk management, higher productivity, or better customer outcomes.
Strong experience with the complete machine learning lifecycle, including problem formulation, data preparation, feature engineering, model development, validation, deployment, monitoring, retraining, and decommissioning.
Experience developing production systems with Python, SQL, PySpark, and common machine learning frameworks and libraries.
Strong understanding of statistical modeling, machine learning algorithms, experimental design, model evaluation, uncertainty, explainability, and performance trade-offs.
Proven ability to build solutions using complex and imperfect data, including disparate sources, evolving schemas, inconsistent definitions, missing values, noisy signals, and high-volume datasets.
Experience designing and deploying cloud-based solutions using one or more of Microsoft Azure, Databricks, Amazon Web Services, or Google Cloud Platform; strong experience across multiple platforms is preferred.
Experience with distributed data processing, data pipelines, feature stores, model registries, model serving, APIs, orchestration, and scalable compute environments.
Experience with modern generative AI architectures, including large language models, retrieval-augmented generation, embeddings, vector search, prompt engineering, tool use, function calling, structured outputs, and agent orchestration.
Experience designing or deploying multi-agent AI solutions that coordinate multiple agents, tools, workflows, or decision steps.
Strong knowledge of production engineering practices, including Git, automated testing, CI/CD, containers, APIs, observability, infrastructure as code, and system reliability.
Ability to design secure AI systems using identity and access management, least privilege, secrets management, encryption, private endpoints, network controls, data classification, and audit logging.
Experience communicating technical concepts, model outputs, risks, architecture decisions, and recommendations to nontechnical stakeholders.
Demonstrated ability to work independently, manage ambiguity, influence decisions, and deliver results in a cross-functional environment.
Master’s or Ph.D. in a relevant technical discipline.
Experience with Azure Machine Learning, Azure OpenAI, Azure AI Foundry, Azure Databricks, Databricks Mosaic AI, MLflow, Unity Catalog, Databricks Model Serving, Vector Search, Lakeflow, or Databricks AI Gateway.
Experience with GCP Vertex AI, Gemini, Vertex AI Model Garden, BigQuery, Cloud Storage, Dataflow, Pub/Sub, Cloud Run, GKE, Cloud SQL, Cloud IAM, and Google Cloud Monitoring.
Experience with AWS SageMaker, Amazon Bedrock, S3, Glue, EMR, EKS, Lambda, Step Functions, CloudWatch, or comparable AWS services.
Experience with lakehouse and data mesh architectures using Delta Lake, medallion layers, domain-oriented data products, data contracts, schema enforcement, Unity Catalog, and governed data sharing.
Experience with enterprise data governance and quality tooling, including data catalogs, lineage, access management, data classification, privacy controls, row- and column-level security, and automated data quality validation.
Experience with enterprise AI gateways, model routing, provider abstraction, LLM observability, prompt management, agent evaluation, and multi-model deployment patterns.
Experience with time-series forecasting, optimization, causal inference, simulation, reinforcement learning, recommender systems, NLP, computer vision, or large-scale deep learning.
Experience with Google Workspace, including Google Drive, Docs, Sheets, Slides, Meet, Gmail, and shared collaboration workflows; experience automating or integrating Google Workspace APIs is a plus.
Experience working with Google Cloud migration, modernization, or interoperability initiatives, including hybrid and multi-cloud data and AI architectures.
Publications, patents, open-source contributions, technical presentations, or other evidence of advanced expertise in machine learning or artificial intelligence.
Success will be measured by the ability to consistently convert complex business problems and challenging data into reliable, scalable, secure, and adopted ML and AI solutions. The successful candidate will deliver production systems that create measurable business value, operate effectively across Azure, Databricks, AWS, and GCP environments, and are understood and trusted by both technical and business
stakeholders.
Compensation: The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of the California Bay Area. The salary range for this role is $159,800–$244,300. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.
Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.
Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, life insurance, paid vacation and holidays, tuition assistance, employee assistance, GM vehicle discounts, and more.
The Role:
We’re looking for a Security Software Engineer to join the Security Products Engineering team and drive the design and implementation of security-focused software and services across GM. You will lead and contribute to the engineering of platforms, services, and tooling that enable secure-by-default experiences for developers and end users, with a strong emphasis on high-quality software architecture, coding standards, and automation.
You will work as a hands-on engineer: designing systems, writing code, reviewing designs and implementations, and partnering with teams across GM to embed security into the software development lifecycle.
What You'll Do:
Design, build, and maintain security-focused software components, services, and tools used across GM’s application ecosystem.
Develop automation frameworks and internal platforms that make it easy for product teams to adopt secure patterns (e.g., identity, authorization, secrets management, logging).
Integrate security controls and checks into CI/CD pipelines, build systems, and cloud-native deployment workflows.
Architect and implement resilient, scalable security services and APIs (e.g., authentication, authorization, policy evaluation, event ingestion).
Collaborate with application, infrastructure, and platform engineering teams to embed security requirements into system and service designs.
Perform secure code reviews, threat modeling, and design reviews to identify and remediate vulnerabilities early in the SDLC.
Build and maintain systems for security telemetry: logging, metrics, and alerting that support detection, triage, and incident response.
Contribute to incident response and post-incident reviews as an engineering owner for security services and tooling.
Stay current with emerging security threats, vulnerabilities, and technologies, and translate them into concrete engineering requirements, patterns, and roadmaps.
Provide technical mentorship on secure coding, design patterns, and security architecture to other software engineers.
Your Skills & Abilities (Required Qualifications):
Bachelor’s degree or higher in Computer Science, Software Engineering, Cybersecurity, or a related technical field (or equivalent practical experience).
7+ years of experience as a software engineer building and owning production systems or in-house applications.
Advanced proficiency in at least one modern programming language (for example: Python, Go, Java, or C++) with a strong understanding of software engineering fundamentals (data structures, algorithms, design patterns).
Experience using AI-assisted development tools (for example, GitHub Copilot, Cursor, or similar) as part of day-to-day engineering workflows.
Experience designing, implementing, and operating services on a major cloud platform (AWS, Azure, or GCP), including use of managed services and infrastructure-as-code.
Hands-on experience with containerization and orchestration technologies (e.g., Docker, Kubernetes).
Solid understanding of core security concepts as applied to software engineering, including:
Authentication and authorization patterns (OAuth2/OIDC, SSO, RBAC/ABAC).
Encryption in transit and at rest, key/secrets management.
Secure coding practices, input validation, and common vulnerability classes (e.g., injection, XSS, CSRF, insecure direct object references).
Experience partnering with security and audit/compliance teams and translating security requirements into engineering work.
Proven ability to plan and manage work in an Agile environment, taking ownership of features and services from design through production.
Strong written and verbal communication skills, with the ability to explain identity and security concepts to both technical and non-technical audiences.
What Will Give You A Competitive Edge (Preferred Qualifications):
Experience designing or implementing identity and access management (IAM) solutions, including external/partner identity, contractor-heavy environments, or B2B/B2C identity patterns.
Project experience modeling and deploying external identity architectures (e.g., federation, multi-tenant identity, just-in-time provisioning).
Experience with data and analytics platforms (e.g., Databricks) or broader Microsoft/Google cloud product ecosystems.
Experience integrating cloud access security broker (CASB) or similar security technologies into applications or platforms.
Experience with modern front-end application development (e.g., React, TypeScript) and securing front-end/back-end interactions.
Track record of leading engineering initiatives that improved security posture through better design, automation, or developer experience.
Compensation: The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position, as well as geography of the selected candidate.
• The salary range for this role is $160,200-$246,300. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.
• Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.
Benefits:
Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.
#LI-SB3
General Motors is a global leader in advanced driver assistance. With Super Cruise hands-free technology in more than 500,000 Super Cruise-equipped vehicles on the road, and over 700 million hands‑free miles driven, GM is proving that automation can be trusted, intuitive, and helpful. GM has the global reach to bring cutting‑edge advances to everyday drivers at unprecedented scale. Join us to help deliver the next generation of safe and delightful personal autonomous vehicle experiences.
The Evaluation team builds and evolves the evaluation ecosystem that powers developing and scaling GM’s autonomous driving technology. We develop metrics, automated workflows, and analysis approaches that enable data-driven decisions across AV development and verification. Partnering with Autonomy, Simulation, Systems, and Safety teams, we act as system-level integrators and arbiters of end-to-end AV quality. We own large scale test scenario libraries, continuous evaluation pipelines, and critical risk assessment and release gating components, treating road testing, data mining, training, and metrics as first-class use cases in a unified analytics framework. By joining this team, you will help shape GM’s core evaluation platforms, turn system-level results into clear feedback, and help accelerate validated AV deployment at scale.
Define the strategy and architecture for metrics and analyses to evaluate autonomous driving software performance across the autonomy stack.
Lead cross-functional efforts with autonomy, systems engineering, simulation, and data teams to embed evaluation into development workflows and release decisions.
Invent and drive new statistical and ML methods, and ML introspection techniques, to quantify performance, detect regressions, and reveal patterns of system behavior at scale.
Own and refine key AV evaluation metrics and KPIs used for readiness and safety decisions; synthesize and present results and tradeoffs to stakeholders; make insights readily available to partner teams through interactive dashboards.
7+ years applied experience with robotics or autonomous systems software, spanning multiple subsystems from perception through planning and control of the vehicle.
3+ years leading evaluation of complex dynamic systems using numerical and ML approaches on large-scale time series data.
Proficiency developing Python in production team environments; strong ability to work in large C++ autonomy codebases.
Proven cross-team technical leadership, including defining strategies adopted by multiple teams and influencing system and architecture decisions.
PhD, Masters, or Bachelor’s degree in Computer Science, Robotics, Mechanical or Aerospace Engineering, Machine Learning, or a related field.
Experience in autonomous driving or high-stakes field robotics; designing, running, and interpreting large-scale simulation and field experiments.
Deep familiarity with statistical modeling, experimental design, and hypothesis testing for autonomy evaluation; command of Pandas, NumPy, SciPy, and visualization libraries.
Proficiency in C++ and SQL, and experience shaping logging, data schemas, and evaluation pipelines for large-scale autonomy testing.
Experience working with ROS or other IPC, robotics stack logging, and with large-scale experiment databases, including designing or scaling evaluation platforms.
Prior development with computational geometry, linear algebra, PyTorch, and machine learning.
Background in modeling agent interaction and owning or designing release gating criteria and processes for autonomy systems.
Requisitos
Formación: Graduados y/o egresados en Administración, de Empresas, Marketing, Economía,
Experiencia: de 3 a 5 años de experiencia en roles comerciales en posiciones similares.
Inglés: Nivel intermedio.
Paquete Office: excel, power bi, power point, IA, ventaja competitiva
Conocimiento del rubro automotor
Habilidades de negociación, comunicación, visión de mercado
What You’ll Do:
Our plants are the groundwork for GM and a hotbed of innovation. We are looking for controls engineer interns to assist maintenance personnel in operation and maintenance of specialist equipment.
As a Controls Engineer Intern, you will be accountable for controls engineering and electrical support for industrial manufacturing equipment. These tasks teach you electrical root causing analysis and problem solving as well as leadership skills to provide technical support and direction to support personnel/skilled trades within the organization. Quality and safety are extremely meaningful to us, so enforcing safe work practices is the highest priority and implementing objectives for ergonomics, health/safety, and housekeeping, which means that you would have to investigate system and equipment problems and provide technical input in problem resolution.
Responsibilities:
Leads electrical projects including new or operations improvements, and periodic repair and replacement
Participates in functional area plant meetings and related activities to represent engineering and to assist in reaching the plant's performance goals
Develops cost estimates, investment forecasts, business cases, appropriation requests and plans for minor project activity
Utilizes statistical methods for continuous improvement on plant systems
Develops and monitors planning timetables and projects schedules
Coordinates and communicates the development of changes to improve conditions for the assembly process
Programming of manufacturing technology (PLC, robotics, HMI)
Analyzes product, process and technology to determine the best methods of manufacture
Assists in the design and building of tools and equipment or recommends improvements to existing processes
Required Qualifications:
Pursuit of a bachelor's degree in one of the following areas: Electrical Engineering/Electrical Engineering Technology, or Controls Engineering
Must be graduating between August 2027 and June 2029
Able to work full-time, 40 hours per week
Must be willing to work in a plant environment
Preferred Qualifications:
Outstanding interpersonal and relationship management skills with the ability to effectively collaborate with varying levels of the organization
Excellent written and verbal communication skills with the ability to distill complex subjects to a wider audience
Emerging partnership and collaboration skills and ability to learn from and share knowledge with co-workers in a fast-paced environment
Evidence of strong character with integrity, honesty, accountability and trust
Consistently demonstrates innovative thinking that is customer-centric
Excellent project management skills and the proven ability to manage multiple projects at any given time.
Specific physical requirements of the position include the ability to:
Walk and stand for prolonged periods of time.
Read standardized work instructions, operate machines and tools, and perform quality inspections.
Promptly detect and respond to safety instructions, alarms, and signals. Wear personal protective equipment, for example: safety glasses, gloves, hats, ear plugs, and safety shoes.
Work in a loud manufacturing environment that is not climate controlled (conditions can be hot or cold).
Frequently and repetitively bend, twist, kneel, crouch, and reach to perform work.
Lift or carry materials weighing up to 15 pounds and periodically carry or lift materials weighing up to 40 lbs.
Occasionally sit, climb (including ladders and lifts) and drive vehicles and equipment.
GM does not provide immigration-related sponsorship for this role. Do not apply for this role if you will need GM immigration sponsorship now or in the future. This includes direct company sponsorship, entry of GM as the immigration employer of record on a government form, and any work authorization requiring a written submission or other immigration support from the company (e.g., H1-B, OPT, STEM OPT, CPT, TN, J-1, etc.)
Work Arrangement:
Onsite: This role is categorized as onsite. This means the successful candidate is expected to report to their assigned facility on a full-time basis.
Each successful candidate will be offered an onsite role at a specific location. Candidate location preferences are considered but cannot be guaranteed.
Job Location
We have opportunities available in the locations below for this role. Please indicate in your application which of these locations you are interested in.
Arlington, TX
Bay City, MI
Bedford, IN
Bowling Green, KY
Defiance, OH
Detroit, MI
Fairfax, KS
Flint, MI
Grand Rapids, MI
Lansing, MI
Marion, IN
Orion, MI
Parma, OH
Pontiac, MI
Romulus, MI
Saginaw, MI
Spring Hill, TN
Toledo, OH
Wentzville, MO
GM will provide a one-time lump sum taxable stipend payment to eligible students selected for the 2027 Student Program – to help facilitate administration of relocation benefits, please apply using the permanent address you would move from.
Start dates for this internship role are May 24th and June 14th of 2027.
General Motors Research and Development is seeking a Group Manager to lead a multidisciplinary team advancing optical systems, display technologies, user experience, and infotainment demonstrations for future vehicles and mobility experiences.
Working within the research strategy and project roadmap established by the Research Program Lead, you will provide technical direction for the group’s assigned work and build the people, partnerships, prototypes, and demonstrations needed to move research from concept through downstream adoption. The role combines deep technical leadership and people-leader accountability for talent, organization, operating plans, budgets, headcount, execution, and stakeholder alignment.
The successful candidate will bring a strong physics background and technical credibility to lead researchers working across optics, photonics, display science, optical modeling, human-machine interaction, UX, infotainment, and vehicle integration. The candidate will be expected to remain engaged in the technical work while creating the conditions for the team to do its best research and deliver visible, decision-ready outcomes.
Lead the day-to-day execution of the optics, display, UX, and infotainment research for the the connected immersive experience research program, translating approved objectives and roadmap commitments into focused work plans, staffing, experiments, prototypes, vehicle or laboratory integrations, technical reviews, and decision-ready demonstrations.
Provide technical leadership across optical systems, photonics, display science, head up display systems, holography, waveguides, computational optics, sensing, human factors, multimodal interaction, UX, and infotainment, while maintaining research rigor and connecting fundamental science to vehicle-level experience, usability, manufacturability, safety, reliability, and production feasibility.
Lead, coach, recruit, and develop a diverse multidisciplinary team; build capability, foster inclusion, encourage initiative and innovation, and maintain clear accountability for execution.
Own the group’s operating plans, budget, capital, headcount, facilities, tools, staffing, workload, partnerships, and resource allocation within approved program priorities, escalating conflicts, risks, dependencies, and recommended tradeoffs to the Research Program Lead.
Create compelling UX and infotainment demonstrations that translate research into coherent, polished, and credible in-vehicle, simulator, laboratory, or other representative experiences, coordinating researchers, designers, software engineers, vehicle-integration teams, suppliers, universities, and other partners.
Communicate progress, evidence, readiness, risks, resource needs, and transition opportunities to R&D leadership and stakeholders; support intellectual-property generation, technology transfer, compliance, safety, quality, data integrity, and responsible research practices without owning the overall research strategy or project roadmap.
Bachelor’s degree in physics, engineering, applied physics, physical science, or a related technical discipline
Strong physics background with demonstrated understanding of physical principles relevant to optics, photonics, light-matter interaction, imaging, displays, perception, or related technologies
Broad automotive experience spanning R&D and the vehicle-development lifecycle, with the ability to connect research, engineering, design, product, manufacturing, supplier, and vehicle-integration needs
Significant progressive experience in research, advanced engineering, optical systems, display technologies, vehicle technology, UX, infotainment, or a closely related field
Demonstrated experience leading multidisciplinary technical teams and delivering complex R&D programs or technology portfolios
Proven ability to translate research strategy into executable technical work, manage ambiguity, make evidence-based decisions, and connect research outcomes to product or business impact
Demonstrated initiative and innovation, including proactively identifying opportunities, starting high-value work, challenging conventional approaches, and turning novel ideas into credible demonstrations or vehicle-relevant outcomes
Experience with optics, optical system design, display technologies, head up display systems, holography, waveguides, photonics, computational optics, optical modeling, or related fields
Experience translating research into prototypes, integrated demonstrations, validated concepts, or production-ready technologies
Demonstrated ability to manage budgets, headcount, staffing, workload, schedules, risks, suppliers, and external partnerships
Strong written, verbal, visual, and executive communication skills, including the ability to explain complex technical concepts to non-specialist audiences
Demonstrated commitment to inclusion, talent development, coaching, research integrity, safety, quality, and continuous improvement
Master’s or Ph.D. in physics, applied physics, optics, photonics, electrical engineering, mechanical engineering, computer science, human factors, or a related discipline
Experience with vehicle displays, head up display systems, augmented-reality experiences, infotainment, multimodal interaction, human-machine interfaces, or other advanced in-vehicle experiences
Experience creating or leading high-visibility technical demonstrations for executive, customer, engineering, or product audiences
Experience with MATLAB, optical design and ray-tracing tools, computational modeling, machine learning, image processing, simulation, or custom modeling-code development
Experience integrating hardware, software, UX, displays, optics, and vehicle systems in laboratory, simulator, prototype, or production environments
Record of patents, publications, invited presentations, recognized research contributions, or successful technology transitions
Experience working with global, geographically distributed, cross-functional, academic, supplier, and startup teams
Familiarity with formal project-management, risk-management, Design for Six Sigma, Lean, Red X, or other continuous-improvement practices
General Motors Research and Development is seeking a Group Manager to lead a multidisciplinary team advancing optical systems, display technologies, user experience, and infotainment demonstrations for future vehicles and mobility experiences.
Working within the research strategy and project roadmap established by the Research Program Lead, you will provide technical direction for the group’s assigned work and build the people, partnerships, prototypes, and demonstrations needed to move research from concept through downstream adoption. The role combines deep technical leadership and people-leader accountability for talent, organization, operating plans, budgets, headcount, execution, and stakeholder alignment.
The successful candidate will bring a strong physics background and technical credibility to lead researchers working across optics, photonics, display science, optical modeling, human-machine interaction, UX, infotainment, and vehicle integration. The candidate will be expected to remain engaged in the technical work while creating the conditions for the team to do its best research and deliver visible, decision-ready outcomes.
Lead the day-to-day execution of the optics, display, UX, and infotainment research for the the connected immersive experience research program, translating approved objectives and roadmap commitments into focused work plans, staffing, experiments, prototypes, vehicle or laboratory integrations, technical reviews, and decision-ready demonstrations.
Provide technical leadership across optical systems, photonics, display science, head up display systems, holography, waveguides, computational optics, sensing, human factors, multimodal interaction, UX, and infotainment, while maintaining research rigor and connecting fundamental science to vehicle-level experience, usability, manufacturability, safety, reliability, and production feasibility.
Lead, coach, recruit, and develop a diverse multidisciplinary team; build capability, foster inclusion, encourage initiative and innovation, and maintain clear accountability for execution.
Own the group’s operating plans, budget, capital, headcount, facilities, tools, staffing, workload, partnerships, and resource allocation within approved program priorities, escalating conflicts, risks, dependencies, and recommended tradeoffs to the Research Program Lead.
Create compelling UX and infotainment demonstrations that translate research into coherent, polished, and credible in-vehicle, simulator, laboratory, or other representative experiences, coordinating researchers, designers, software engineers, vehicle-integration teams, suppliers, universities, and other partners.
Communicate progress, evidence, readiness, risks, resource needs, and transition opportunities to R&D leadership and stakeholders; support intellectual-property generation, technology transfer, compliance, safety, quality, data integrity, and responsible research practices without owning the overall research strategy or project roadmap.
Bachelor’s degree in physics, engineering, applied physics, physical science, or a related technical discipline
Strong physics background with demonstrated understanding of physical principles relevant to optics, photonics, light-matter interaction, imaging, displays, perception, or related technologies
Broad automotive experience spanning R&D and the vehicle-development lifecycle, with the ability to connect research, engineering, design, product, manufacturing, supplier, and vehicle-integration needs
Significant progressive experience in research, advanced engineering, optical systems, display technologies, vehicle technology, UX, infotainment, or a closely related field
Demonstrated experience leading multidisciplinary technical teams and delivering complex R&D programs or technology portfolios
Proven ability to translate research strategy into executable technical work, manage ambiguity, make evidence-based decisions, and connect research outcomes to product or business impact
Demonstrated initiative and innovation, including proactively identifying opportunities, starting high-value work, challenging conventional approaches, and turning novel ideas into credible demonstrations or vehicle-relevant outcomes
Experience with optics, optical system design, display technologies, head up display systems, holography, waveguides, photonics, computational optics, optical modeling, or related fields
Experience translating research into prototypes, integrated demonstrations, validated concepts, or production-ready technologies
Demonstrated ability to manage budgets, headcount, staffing, workload, schedules, risks, suppliers, and external partnerships
Strong written, verbal, visual, and executive communication skills, including the ability to explain complex technical concepts to non-specialist audiences
Demonstrated commitment to inclusion, talent development, coaching, research integrity, safety, quality, and continuous improvement
Master’s or Ph.D. in physics, applied physics, optics, photonics, electrical engineering, mechanical engineering, computer science, human factors, or a related discipline
Experience with vehicle displays, head up display systems, augmented-reality experiences, infotainment, multimodal interaction, human-machine interfaces, or other advanced in-vehicle experiences
Experience creating or leading high-visibility technical demonstrations for executive, customer, engineering, or product audiences
Experience with MATLAB, optical design and ray-tracing tools, computational modeling, machine learning, image processing, simulation, or custom modeling-code development
Experience integrating hardware, software, UX, displays, optics, and vehicle systems in laboratory, simulator, prototype, or production environments
Record of patents, publications, invited presentations, recognized research contributions, or successful technology transitions
Experience working with global, geographically distributed, cross-functional, academic, supplier, and startup teams
Familiarity with formal project-management, risk-management, Design for Six Sigma, Lean, Red X, or other continuous-improvement practices
]]>Chevy:
Be the driving force behind one of America's most recognized automotive brands. As a Chevrolet District Sales Manager, you'll partner directly with dealers to grow sales, launch innovative products, and influence business performance across a diverse portfolio ranging from trucks and SUVs to EVs. This is an opportunity to make a measurable impact while building relationships and leading from the front.
The Role:
As a District Sales Manager, you'll help lead the transformation of the automotive industry by connecting dealers with the products, technologies, and strategies shaping the future of mobility. You'll work side-by-side with dealer partners to deliver business results, accelerate EV adoption, enhance customer experiences, and bring innovative solutions to market. If you're energized by change, passionate about people, and motivated by making a measurable impact, this role offers a front-row seat to the future.
What You’ll Do
Serve as the primary liaison between GM, dealerships, and key business partners, building strategic relationships that drive performance, growth, and alignment with business objectives.
Provide consultative coaching and mentorship to dealership leadership and staff to improve operational performance and achieve monthly, quarterly, and annual sales goals.
Analyze dealership performance, sales trends, market conditions, competitive activity, and customer satisfaction metrics to identify opportunities and implement corrective actions that drive business results.
Support the successful launch of new products, programs, and initiatives by coordinating sales, marketing, and communication efforts between dealerships, the independent aftermarket (IAM), and GM stakeholders.
Partner with dealerships to optimize vehicle and parts inventory management through forecasting, ordering, allocation, and inventory stabilization strategies.
Become a subject matter expert in the GM allocation system (Consensus) and vehicle ordering system to offer coaching to the dealers to ensure optimal inventory ordering.
Track dealership commitments and action plans, provide follow-up support, and ensure timely completion of agreed-upon activities.
Drive adoption and sales of GM vehicles, accessories, products, and services by identifying growth opportunities and executing territory-specific business plans.
Resolve customer and dealership concerns by collaborating with cross-functional stakeholders to deliver effective and timely solutions.
Monitor dealership training participation and compliance with GM standards, identifying opportunities to enhance capability, knowledge, and performance.
Travel throughout the assigned territory to assess dealership operations, provide consultative support, and ensure execution of GM programs, initiatives, and performance expectations.
Your Skills & Abilities (Required Qualifications)
Bachelor’s degree in a related field or demonstrated equivalent professional experience
2+ years' experience in Sales, Marketing, or related fields with a proven track record of driving revenue growth
Proficiency in spreadsheet and reporting tools, including data analysis, reporting, and visualization; preferably with Google workspace
Ability to travel up to 75% to different locations within your territory
Must possess and maintain the ability to legally operate a motor vehicle in accordance with the licensing requirements of the states in which work is performed
What Can Give You a Competitive Advantage (Preferred Qualifications)
Drives results and leads change with confidence and clarity
Builds and maintains strong internal and external relationships
Demonstrates strategic business planning capabilities to align dealership goals with broader organizational objectives
Maintains a strong customer focus and resolves conflicts effectively
Demonstrates strong problem-solving skills by identifying root causes, developing actionable solutions, and implementing improvements that enhance dealership performance and customer satisfaction
Applies analytical thinking to solve complex problems and make data-informed decisions
Leverage data analytics tools to extract actionable insights that drive revenue growth, optimize operational performance, and elevate the customer experience
Excellent oral and written communication skills, with the ability to inform and persuade effectively
Communicates persuasively and informatively across all levels
Maintains a results-driven mindset, consistently pursuing excellence and accountability
The ability to manage multiple tasks, adapt and thrive in a changing environment where there is a degree of ambiguity
Takes initiative and thrives in dynamic environments
Openness to relocate across districts and markets to broaden business knowledge, gain diverse experiences, and support organizational needs
Compensation: The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position, as well as geography of the selected candidate.
The salary range for this role is $80,700-109,400. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.
Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.
Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.
Hybrid: This role is categorized as hybrid. This means the successful candidate is expected to report to Austin TX IT Innovation Center or Warren Michigan GM Technical Center 3-4 days per week (T-W-Th)
The Role
We’re seeking a passionate and experienced Senior Software Engineer in development to own overall performance of our systems and solution, leading optimization of software and systems to improve site speed, support scalability, reliability and stability. Analyzing metrics based on access to different monitoring tools and working with the respective engineer development teams and architects to design and implement solutions to improve overall site and systems performance (including but not limited to Web Sites, APIs , Database queries and definition of caching strategies) and lead execution of performance and load tests to validate results and prevent performance degradations.
You will be responsible for helping lead our engineering efforts through planning, design and architecture, execution, and ramp. As a technical leader on the team, you will be able to help mentor less experienced engineers, build strong relationships with technical leaders on other teams, and facilitate a strong team culture, applying best practices on Performance Engineering.
What You’ll Do
Design, develop, and maintain scalable backend services, APIs, and microservices.
Analyze, diagnose, and resolve application performance issues in production and pre-production environments.
Design and implement performance optimization strategies for web, mobile, APIs, microservices, and distributed systems .
Identify performance bottlenecks across application code, databases, caching layers, networks, and infrastructure.
Implement performance testing, load testing, and capacity planning strategies.
Collaborate with DevOps and SRE teams to improve system resilience and scalability.
Participate in architecture reviews and technical design discussions.
Weigh architectural trade-offs and apply synchronous and asynchronous design patterns
Develop datasets and workloads that accurately represent the Production environment.
Stay current with emerging technologies and trends and evaluate their potential for adoption.
Mentor junior team members and contribute to team growth and development.
Your Skills & Abilities (Required Qualifications)
Bachelor’s degree in computer science or related field.
7+ years of experience of backend development experience.
Strong expertise in designing and building high-scale distributed systems .
Strong proficiency with performance tools like K6, JMeter.
Strong knowledge of monitoring and observability tools like Data dog, Grafana, Dynatrace.
Deep understanding of virtualization, memory management and networking.
Proficiency in profiling all layers of the Technology stack (Software, OS, network) and optimizing complex applications.
Expertise knowledge in Cloud & Container Ecosystem (Azure, Docker, Kubernetes).
What Will Give You A Competitive Edge (Preferred Qualifications)
Master’s degree in computer science or related field.
#LI-CK1
Gm does not provide immigration-related sponsorship for this role. Do not apply for this role if you will need gm immigration sponsorship (e.g., h-1b, tn, stem opt, etc.) Now or in the future.
GM may support relocation for this position.
The Global eCommerce Senior Insights Analyst translates eCommerce data into actionable insights that improve digital sales, customer experience, platform adoption, and operational performance. This role partners with Global Commerce, regional business teams, IT, Product, BI/EDAI, Finance, Marketing, and other stakeholders to establish consistent measurement practices, deliver reporting solutions, support analytics-platform launches, and enable effective use of data across regions.
Partner with business, technology, analytics, Finance, Product, Marketing, and regional teams to gather, prioritize, and document analytics requirements.
Own and maintain the global eCommerce measurement plan, KPI definitions, reporting roadmap, analytics standards, and improvement backlog.
Develop and maintain dashboards, scorecards, reports, and executive-ready analyses for daily, weekly, monthly, and quarterly business reviews.
Analyze traffic, engagement, conversion, orders, sales, customer behavior, product performance, and operational metrics to identify trends and opportunities.
Translate complex data into clear insights, recommendations, and actions for leaders and regional teams.
Monitor data quality, reporting accuracy, anomalies, tagging issues, and performance changes; coordinate resolution with technical and business partners.
Support analytics-platform implementations and enhancements from requirements and solution design through testing, launch, and post-launch support.
Coordinate tagging, data validation, dashboard configuration, reporting requirements, user access, and launch readiness.
Train regional stakeholders on analytics tools, eCommerce metrics, dashboards, benchmarks, and performance interpretation.
Create reusable templates, job aids, FAQs, and training materials that improve adoption and self-service capabilities.
Serve as a primary contact for regional questions related to reporting, metrics, data quality, dashboards, and eCommerce performance.
Lead or support projects by managing scope, milestones, risks, dependencies, status reporting, budgets, and outcomes.
Bachelor’s degree in business, analytics, information systems, marketing, computer science, or a related field, or equivalent experience.
6+ years of experience in business intelligence, analytics, reporting, or data-driven business operations.
Demonstrated experience developing, interpreting, and communicating business performance insights.
Strong proficiency with Microsoft Excel or Google Sheets and BI/reporting tools such as Cognos and Tableau, or comparable platforms.
Strong knowledge of eCommerce, digital commerce, marketing analytics, customer experience, or a related field.
Understanding of the automotive industry and the evolving digital commerce landscape.
Experience defining KPIs, developing measurement frameworks, improving data quality, and documenting reporting requirements.
Experience supporting analytics implementations, platform launches, system enhancements, or business-process changes.
Experience working with global or geographically distributed teams.
Strong project management, stakeholder management, communication, and problem-solving skills.
Ability to explain complex data and technical concepts to executives, business users, and technical teams.
Ability to work independently, manage multiple priorities, and operate effectively in an ambiguous environment.
Experience with Shopify or another enterprise eCommerce platform.
Experience with digital or web analytics, site tagging, data layers, or customer-journey measurement
Working knowledge of SQL, data modeling, data warehouses, APIs, or analytics engineering concepts
Experience supporting international markets, multiple currencies, localized customer journeys, or regional operating models.
Experience developing training programs, job aids, enablement plans, or communities of practice
Experience with Agile delivery, requirements management, user acceptance testing, change management, or process improvement.
Experience applying AI or automation to reporting, analytics enablement, data quality, or operational support.
On-site: This role is categorized as onsite. This means the successful candidate is expected to report to the Grand Rapids plant on a full-time basis.
The Role:
The Occupational Health Registered Nurse is responsible for providing emergency care, first aid and episodic treatment of occupational injuries and illnesses within standing orders. This position works toward the prevention of illness & injury, protection from work related and environmental hazards, and promotion and restoration of health. Individual will maintain accurate medical records related to legal, regulatory and reporting requirements. Motivated to work independently.
What You'll Do:
Your Skills & Abilities (Required Qualifications):
What Can Give You a Competitive Edge (Preferred Qualifications):
This job is not eligible for relocation benefits. Any relocation costs would be the responsibility of the selected candidate.
]]>At General Motors, our product teams are redefining mobility. Through a human-centered design process, we create vehicles and experiences that are designed not just to be seen, but to be felt. We’re turning today’s impossible into tomorrow’s standard —from breakthrough hardware and battery systems to intuitive design, intelligent software, and next-generation safety and entertainment features.
Every day, our products move millions of people as we aim to make driving safer, smarter, and more connected, shaping the future of transportation on a global scale.
Role : As a Staff Research Scientist in the AI Research organization, you will be advancing the frontier of machine learning to solve challenging problems in autonomous driving. You will design state-of-the-art algorithms that open new possibilities for our vehicles. Additionally, you will help shape technical directions, mentor, and publish at top conferences.
About the Organization : The AI Research team advances the state-of-the-art in AI for autonomous vehicles. We research, design, and prototype advanced AI/ML techniques (e.g., foundation models, VLAs, diffusion, image/video generation, self-supervised learning, IL, RL) that help our vehicles unlock new autonomous capabilities. Join a collaborative and innovative team redefining autonomy.
What You’ll Do
Research, design, and prototype advanced ML approaches (e.g., foundation models, VLAs, diffusion, image/video generation, self-supervised learning, IL, RL) to advance the state-of-the-art in autonomous driving.
Influence technical roadmaps, shaping strategic ML priorities aligned with company objectives and product milestones.
Provide technical mentorship and vision.
Collaborate closely with multidisciplinary engineering groups, helping foster ML innovation across teams.
Represent GM externally through publications, patents, and participation in top conferences.
Your Skills & Abilities (Required Qualifications)
Ph.D. in Machine Learning, Robotics, Computer Science, Electrical Engineering, or a related technical field.
5+ years of experience in AI/ML research and applied development.
Deep expertise in modern ML architectures (transformers, generative AI, multimodal systems).
Strong programming skills in Python.
Excellent communication, collaboration, and mentoring abilities, comfortable influencing technical strategy and guiding ML excellence across the organization.
What Will Give You A Competitive Edge (Preferred Qualifications)
Demonstrated research impact in AI/ML technologies either through important publications in top conferences or demonstrated contribution to industry leading systems.
AV/ADAS experience
Remote: This role is based remotely but if you live within a 50-mile radius of Mountain View, you are expected to report to that location three times a week, at minimum.
Compensation : The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of New York, Colorado, California, or Washington.
The salary range for this role is $218,800.00 to $335,300.00. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.
Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.
Benefits:
Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.
This job may be eligible for relocation benefits.
Company Vehicle: Upon successful completion of a motor vehicle report review, you will be eligible to participate in a company vehicle evaluation program, through which you will be assigned a General Motors vehicle to drive and evaluate. Note: program participants are required to purchase/lease a qualifying GM vehicle every four years unless one of a limited number of exceptions applies.
#GM-AV-1
As a Staff ML Engineer on the Prometheus team within the Embodied AI organization, you will be a senior engineer responsible for developing and deploying offboard machine learning solutions that deliver ground-truth–quality world estimates for multiple partner teams, including onboard model teams, simulation, and evaluation. The models you build will influence every stage of autonomous vehicle development—from training and validation to testing and safety. You will work closely with cross-functional engineering teams, help shape technical direction in your domain, and support other engineers' growth through collaboration and mentorship. You will also help transition research into scalable onboard ML capabilities while continuously improving the autonomy stack.
What You'll Do
Design and implement ML solutions aligned with GMʼs autonomous driving objectives.
Apply techniques such as unsupervised pre-training, supervised learning, model scaling/selection, foundation modeling, to solve problems in object detection/tracking/classification.
Deliver model improvements by systematic use of GMʼs large scale datasets, utilizing the highest value data for solving the hardest problems, while demonstrating model scaling through data.
Collaborate with cross-functional teams to deploy and serve models and algorithms at large scale.
Contribute to applied research efforts and remain current with advancements in ML frameworks and methods.
Design and build efficient infrastructure, pipelines, and tooling to facilitate fast-pace model iterations.
Drive technical execution from prototyping through production deployment, documenting learnings and best practices.
Support and mentor engineers through technical collaboration and code reviews, fostering knowledge sharing and engineering excellence.
Your Skills & Abilities
Master's or PhD in Computer Science, Robotics, Machine Learning, or related field.
Experience working with large-scale foundation models and alignment methods applied to real-world systems.
Demonstrated ability to deliver applied ML solutions under real-world constraints and timelines.
Proficiency in PyTorch and Python.
Experience building and scaling model training pipelines enabling efficient iteration across teams.
Strong communication skills enabling effective collaboration across engineering teams.
Experience deploying ML models into production environments and understanding end-to-end deployment workflows.
Experience in robotics or autonomous driving systems preferred.
Remote/Hybrid: This role is based remotely but if you live within a 50-mile radius of Austin, Detroit, Warren, Milford or Mountain View, you are expected to report to that location three times per week, at minimum.
Compensation : The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of the California Bay Area.
The salary range for this role is $189,300.00 to $320,700.00. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.
Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.
Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.
Relocation: This job may be eligible for relocation benefits.
Company Vehicle: Upon successful completion of a motor vehicle report review, you will be eligible to participate in a company vehicle evaluation program, through which you will be assigned a General Motors vehicle to drive and evaluate. Note: program participants are required to purchase/lease a qualifying GM vehicle every four years unless one of a limited number of exceptions applies.
#LI-CX1
#GM-AV-1
]]>You will also be responsible for defect analysis, resolution and verification for vehicle infotainment subsystem software.
What You'll Do:
Your Skills & Abilities (Qualifications):
What Will Give You a Competitive Edge (Preferred Qualifications):
Compensation: The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of the California Bay Area .
The salary range for this role is $160,000 and $200,000. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.
Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.
Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.
Hybrid: This position is located in Warren, MI & requires an employee to be onsite 3-4 times per week.
Who You Are:
As a member of the Connected Vehicle Experience Research Lab, you will be working with the Connected Vehicle System group. You will be applying your expertise in connected and autonomous vehicles, wireless communication, infotainment, robotics, and data science for developing innovative approaches to enhance customer experience through wireless connectivity. As a researcher in this group, you will implement your solutions in wireless communication and publish your research findings in peer-reviewed journals to extend the reach of General Motors’ development of next-generation technology. This will also include interfacing with universities, research institutes, and other advanced technology laboratories to build a network for amplifying your research.
What You Do:
Develop connected vehicle systems and applications for safety, infotainment, and robotics
Develop and implement new vehicular applications and services in prototyping systems
Develop and implement vehicular network protocols prototyping systems. Preferably, a candidate should be able to implement research ideas in functioning wireless prototypes on GM research vehicles or robotic systems
Customize operating systems and software architectures that facilitate and support vehicular communication applications
Evaluate and analyze the developed protocols, systems and application services either via extensive simulations or via empirical experimental measurements
Document research work through internal and external publications
Facilitate technology transfer via active participation in cross-functional teams
What You Need:
Green Card Holder or US Citizen
Master’s degree in computer science or electrical engineering
Research experience in at least one of the following areas: mobile systems and applications, wireless communication, wireless network protocols, cyber-physical systems, wireless sensor network, intelligent transportation system, data science, or other related areas
Strong theoretical, experimental or software programming skills
What Would be Even Better:
PhD degree in a related area
Hands-on experience building empirical systems to develop connected vehicle systems
Hands-on experience with cloud and edge computing
Hands-on experience with socket programming
Experience with data analysis or AI/Machine Learning for engineering applications.
Demonstrates leadership in field of study, extra-curricular activities, or service organizations
At General Motors, our product teams are redefining mobility. Through a human-centered design process, we create vehicles and experiences that are designed not just to be seen, but to be felt. We’re turning today’s impossible into tomorrow’s standard - from breakthrough hardware and battery systems to intuitive design, intelligent software, and next-generation safety and entertainment features.
Every day, our products move millions of people as we aim to make driving safer, smarter, and more connected, shaping the future of transportation on a global scale.
Why GM Battery Research & Development?
At GM, your work won’t sit on a shelf – you’ll see it power real vehicles on the road. You’ll move ideas from first principles → validated models → vehicle impact, working at the intersection of fundamental physics, advanced simulation, and real-world EV systems. Our Research team offers the opportunity to:
Work alongside leading experts in electrochemistry, materials science, and Multiphysics modeling
Solve fundamental battery science problems across transport phenomena, kinetics, and degradation
Leverage advanced experimental data, high-fidelity instrumentation, and high-performance computing
Develop and apply state-of-the-art physics-based models grounded in first principles
Be supported to publish and present original research in leading journals and conferences
Collaborate with tier 1 research universities, national labs, suppliers, and federally funded research programs
See your models directly influence battery design, safety, and performance in GM EVs
Grow within a deeply technical environment across expert and research leadership tracks
The Role
As a Senior Researcher, you will develop and advance first-principles, physics-based battery models that capture the underlying mechanisms governing battery behavior. Your work will focus on understanding and predicting electrochemical performance, degradation, and safety through rigorous Multiphysics modeling across scales.
What You’ll Do
Develop and validate ROM and full order physics-based battery models across a range of chemistries, cell designs, and formats
Build coupled Multiphysics models capturing electrochemical kinetics, mass transport, heat generation, and mechanical effects
Investigate degradation mechanisms (e.g., SEI growth, lithium plating, particle fracture) through mechanistic modeling
Apply modeling to understand and predict performance, lifetime, and safety behavior under real-world operating conditions
Translate model outputs into actionable guidance for cell design, materials selection, and system-level decisions
Integrate models into multi-scale and system-level simulation frameworks
Lead and contribute to deep technical problem solving, grounded in physical intuition and rigorous analysis
Influence technical direction through scientifically grounded arguments and modeling insight
Publish and present your work through peer-reviewed journals, conferences, and internal reviews
Contribute to intellectual property and patents in battery modeling and design
Your Skills & Abilities (Required Qualifications)
Ph.D. in Physics, Chemical Engineering, Mechanical Engineering, Electrical Engineering, Materials Science, or a closely related field with a focus on electrochemistry or battery modeling
Deep expertise in physics-based battery modeling, including electrochemical and transport processes
Strong foundation in electrochemistry, thermodynamics, and transport phenomena
Experience developing coupled Multiphysics models (electrochemical, thermal, mechanical) across scales
Strong Python, COMSOL, and MatLab proficiency (required) for scientific computing, modeling, and data analysis
Strong analytical and quantitative problem-solving skills grounded in physical principles
Demonstrated research track record including peer-reviewed publications and technical presentations
Ability to clearly communicate complex technical findings to both specialized and cross-functional audiences
Proven ability to influence technical direction through expertise and analysis
Commitment to advancing the state of the art in battery science and modeling
What will give you a competitive edge (Preferred Qualifications)
Experience with mechanistic degradation modeling and lifetime prediction
Familiarity with continuum-scale modeling frameworks (e.g., P2D/DFN/MSMR-type models or similar)
Experience integrating physics-based models into larger simulation environments or design workflows
Deep knowledge of battery cell/material property databases
Background leveraging high-performance computing for large-scale simulations
Contributions to patents or externally recognized research collaborations
Experimental experience with measurements of battery material/electrochemical properties
SEM-based techniques used to characterize the crystallographic structure, orientation, and microstructure of particle microstructures
At General Motors, our product teams are redefining mobility. Through a human-centered design process, we create vehicles and experiences that are designed not just to be seen, but to be felt. We’re turning today’s impossible into tomorrow’s standard —from breakthrough hardware and battery systems to intuitive design, intelligent software, and next-generation safety and entertainment features. Every day, our products move millions of people as we aim to make driving safer, smarter, and more connected, shaping the future of transportation on a global scale. Are you passionate about accelerating the future of autonomous driving? Join the Embodied AI team at General Motors. Our team is developing and deploying machine learning solutions that support safe and reliable autonomous vehicle behavior across real-world scenarios.
As a Senior AI/ML Future Sensing Engineer in the Embodied AI organization, you will develop and evaluate machine learning solutions contributing to future sensing architecture decisions and autonomous driving performance. You will contribute to designing and improving ML and perception models that support safe and reliable vehicle behavior across real-world scenarios, while helping connect sensing choices to measurable performance outcomes.
You will collaborate closely with senior engineers and cross-functional teams to translate research and technical concepts into production-ready or production-informing solutions while contributing to engineering best practices, technical analyses, and delivery execution.
What You’ll Do
Develop and improve AI/ML solutions aligned with GM’s autonomous driving and future sensing objectives
Apply techniques such as unsupervised pre-training, imitation learning, reinforcement learning, model scaling and selection, and foundation modeling to solve problems in object detection, tracking, classification, perception, and safe AI
Develop and evaluate perception models and components for sensing studies involving cameras, lidar, radar, and multi-modal sensor fusion
Implement and evaluate models, incorporating research advancements into practical applications
Contribute to model training, fine-tuning, validation, debugging, and performance optimization for perception and sensor-fusion tasks
Help define and implement robust metrics for detection, reconstruction, localization support, semantic labeling, and model robustness under varied environmental conditions
Work with real and synthetic data to evaluate sensing tradeoffs across weather, lighting, occlusion, sensor noise, clutter, and near-field versus long-range scenarios
Contribute to production pipelines and technical workflows spanning data loading, model evaluation, error analysis, and deployment-oriented support
Collaborate with cross-functional teams to integrate models and algorithms into onboard driving systems and future sensing evaluation workflows
Participate in code reviews, documentation, and technical discussions to support engineering quality and knowledge sharing.
Your Skills & Abilities
Bachelor’s or Master’s degree in Computer Science, Robotics, Machine Learning, Electrical Engineering, or a related field
Experience applying machine learning techniques to real-world systems or large-scale datasets
Experience building AI/ML or perception systems in autonomy, robotics, computer vision, or related domains
Proficiency in PyTorch and Python
Experience working with model training pipelines or large-scale data processing workflows
Strong data processing skills using tools such as NumPy, Pandas, and Apache Spark
Experience with model validation, debugging, and failure analysis in ML or perception settings
Experience with one or more perception domains such as object detection, segmentation, tracking, reconstruction, localization, or sensor fusion
Ability to collaborate effectively within cross-functional engineering teams.
Preferred Qualifications
Experience with perception sensors including cameras, radar, and lidar
Experience with multi-modal sensor fusion and system integration
Experience with production ML pipelines, model optimization, and performance tuning
Experience with simulation, synthetic data, or scenario-based evaluation
Experience with architecting sensory systems or contributing to sensor placement and configuration studies
Experience deploying ML models into production or working within production ML environments
Experience in automotive, robotics, or safety-critical ML applications.
Remote/Hybrid: This role is categorized as fully remote or hybrid.
Compensation:
The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of the California Bay Area.
Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.
Relocation: This job may be eligible for relocation benefits.
#LI-CX1
#GM-AV-1
At General Motors, our product teams are redefining mobility. Through a human-centered design process, we create vehicles and experiences that are designed not just to be seen, but to be felt. We’re turning today’s impossible into tomorrow’s standard —from breakthrough hardware and battery systems to intuitive design, intelligent software, and next-generation safety and entertainment features.
Every day, our products move millions of people as we aim to make driving safer, smarter, and more connected, shaping the future of transportation on a global scale.
About the Team
The Local Planner Controller team builds optimization-based planning and control software for GM’s Super Cruise system. The team formulates and solves online optimization problems that balance kinematic feasibility, collision avoidance, and ride comfort, and plays a central role in delivering safe, comfortable vehicle behavior through the Local Planner Controller and related guardrails systems.
The Role
We are looking for a Robotics Controls Engineer to join GM’s Local Planner Controller team. In this role, you will work on challenging problems in trajectory optimization, vehicle dynamics, estimation, and closed-loop controls that support Super Cruise and other advanced driver assistance capabilities.
What You’ll Do
Develop and deliver vehicle dynamics, planning, and controls software that supports safe and comfortable behavior in GM’s Super Cruise system.
Implement, test, and refine optimization and control algorithms for trajectory tracking, constraint handling, and motion execution under real-world vehicle and environment limits.
Partner with more senior engineers to break down ambiguous technical problems, evaluate tradeoffs, and translate algorithmic ideas into robust production-quality software.
Contribute to technical reviews, code reviews, validation efforts, and day-to-day engineering execution using strong software engineering best practices.
Work closely with cross-functional teams across perception, prediction, localization, systems, safety, simulation, and evaluation to integrate solutions and debug end-to-end behavior.
Improve software reliability and development velocity through testing, tooling, continuous integration, and thoughtful iteration on team processes.
Contribute to GM engineering culture through clear communication, collaboration, ownership, and a strong learning mindset.
Required Qualifications
Master’s degree with 2+ years of relevant experience, or PhD, in Robotics, Controls, Mechanical Engineering, Electrical Engineering, Computer Science, Applied Mathematics, or a related field.
Strong foundation in optimal control, trajectory optimization, motion planning, or numerical optimization.
Strong understanding of classical and modern feedback control theory and techniques.
Solid understanding of vehicle dynamics, robotics dynamics, or related physical system modeling.
Proficiency in C++ and Python for research or production software development.
Demonstrated ability to translate algorithms into reliable software in a collaborative engineering environment.
Strong communication skills and the ability to work effectively across disciplines.
Passion for autonomous driving, robotics, or advanced driver assistance technologies.
Preferred Qualifications
Industry or research experience in robotics, autonomous vehicles, ADAS, or safety-critical systems.
Experience with model predictive control, constrained optimization, or trajectory generation for real-world robotic systems.
Familiarity with ROS or similar robotics middleware.
Experience developing or validating software for embedded or real-time control systems.
Experience working with simulation, closed-loop evaluation, or system-level performance analysis.
Exposure to estimation, prediction, or planning/control interfaces in autonomous systems.
Compensation :
The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of the California Bay Area.
The salary range for this role is $138,200-$211,700. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.
Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.
Benefits:
Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.
#GM-AV-1
We are seeking an experienced, technically strong, impact-driven expert in ML Training Infrastructure with a demonstrated ability to lead through hands-on technical work. In this role, you will be responsible for defining the technical direction and driving the design and development of scalable, reliable, and high-performance AI/ML platform infrastructure that enables advanced AI research and model development at scale.
As a Staff ML Engineer, you will operate as a technical leader across initiatives, partnering closely with machine learning engineers, research scientists, and platform teams to shape architecture, drive major technical decisions, and deliver state-of-the-art AI infrastructure that enables the future of intelligent driving technologies across General Motors vehicles.
What You'll Do:
Define and drive the architecture, design, and development of scalable, reliable, and high-performance ML frameworks and platform capabilities to support model training at scale.
Lead model training performance analysis and optimization efforts across distributed training workflows, improving scalability, efficiency, and cost across heterogeneous hardware environments.
Raise the bar on system observability, debuggability, operational excellence, and developer experience across the ML training stack.
Own large, ambiguous, cross-functional technical initiatives from strategy through execution, including technical roadmap definition, tradeoff analysis, and delivery.
Influence platform direction by identifying long-term infrastructure investments, setting engineering standards, and driving adoption of best practices across teams.
Collaborate across organizational boundaries to align requirements, resolve technical disagreements, and integrate new capabilities into the platform ecosystem.
Mentor engineers through design reviews, technical guidance, and hands-on partnership, while elevating engineering quality across the team.
Your Skills & Abilities (Required Qualifications)
Bachelor's degree or higher in Computer Science or a related field, or equivalent practical experience.
8+ years of professional software engineering experience.
5+ years of specialized experience in AI/ML infrastructure, such as enabling distributed training for large-scale ML models.
Strong programming skills in Python, with deep proficiency in frameworks such as PyTorch (preferred), TensorFlow, or similar ML systems.
Proven experience designing and operating distributed systems for ML training, including distributed computing, GPU computing, and cloud environments (AWS, GCP, Azure).
Demonstrated track record of leading technically ambiguous, cross-team infrastructure initiatives and driving them to measurable impact.
Strong architectural judgment and ability to make sound technical tradeoffs across performance, reliability, usability, and cost.
Willingness to travel to Sunnyvale, CA as needed.
Comfortable operating in highly ambiguous and dynamic environments.
What Will Give You a Competitive Edge (preferred qualifications):
8+ years of professional software engineering experience.
Deep expertise in PyTorch 2.x+ and distributed training frameworks.
Experience designing and developing training platforms that support FSDP, pipeline parallelism, and other scalable solutions for training large foundational models.
Experience profiling, analyzing, debugging, and optimizing training and data loading performance at scale.
Strong record of technical leadership through architecture reviews, roadmap influence, and cross-team execution.
Excellent communication skills, with the ability to build consensus, navigate controversial decisions, communicate risks clearly, and provide constructive technical feedback.
Self-motivated, execution-oriented, and motivated by delivering broad organizational impact.
Compensation: The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of the California Bay Area.
The salary range for this role is $185,000 to $335,300. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.
Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.
Relocation: This job may be eligible for relocation benefits.
Benefits:
Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.
Company Vehicle : Upon successful completion of a motor vehicle report review, you will be eligible to participate in a company vehicle evaluation program, through which you will be assigned a General Motors vehicle to drive and evaluate. Note: program participants are required to purchase/lease a qualifying GM vehicle every four years unless one of a limited number of exceptions applies.
#GM-AV-1
If you are a current employee of General Motors working in a per diem, hourly, or regular salaried role, you must apply through the internal careers page. Please navigate to https://workday.gm.com and search for GM Find Jobs.
The General Motors Manufacturing Group is seeking to identify highly motivated and qualified individuals for current and potential future opportunities as a Group Leader. In anticipation of these openings becoming available, we welcome you to apply so we can begin the pre-screening and interview process.
The Role:
As a Group Leader in Production, Quality, or Global Supply Chain (GSC), you will be responsible for leading teams of employees or technical personnel to drive operational excellence across manufacturing processes. This includes managing daily operations, developing and improving business processes, and fostering a culture of teamwork and collaboration.
In this role, you may oversee production activities, quality assurance, inspection, problem-solving, and GM Built-in-Quality initiatives. You will be expected to apply independent judgment within the framework of Global Manufacturing Systems, with a strong focus on Safety, People, Quality, Responsiveness, Cost, and Environment (SPQRCE).
What You'll Do (Responsibilities):
Analyze and respond promptly to the manufacturing daily plan, making necessary adjustments to operations as required
Manage multiple tasks in a fast-paced environment with competing priorities
Possess the experience to manage change and navigate ambiguity
Drive accountability through people and processes which may require difficult conversations
Specific physical requirements of the position include the ability to:
Work in a loud manufacturing environment that may not be climate controlled (conditions can be hot or cold)
Possess good physical stamina and coordination to frequently and repetitively:
Bend, twist, kneel, crouch and reach to perform work
Lift or carry materials weighing up to 15 lbs. and periodically carry or lift materials weighing up to 40 lbs.
Walk and stand for prolonged periods of time
Occasionally sit, climb (including ladders and lifts) and drive vehicles and equipment
Read standardized work instructions, operate machines and tools, and perform quality inspections
Promptly detect and respond to safety instructions, alarms, and signals
Wear personal protective equipment, for example: safety glasses, gloves, hats, ear plugs, and safety shoes
Your Skills and Abilities (Required Qualifications):
One year of direct supervisory experience or at least 5 months as an internal GM per diem group leader
Experience managing, leading people, and addressing performance concerns
Experience solving complex problems and working in a fast-paced environment
Strong interpersonal skills, experience managing conflict, and decision making
Demonstrate a high analytical ability to solve complex problems
Basic computer proficiency (i.e. Microsoft Word, typing, email etc.)
Must be willing to work rotating shifts
Must be available and willing to regularly work weekends to meet production demands, including approximately two weekends per month
18 years of age or older
High School Diploma or equivalent
What Can Give You a Competitive Edge (Preferred Qualifications):
Knowledge of Continuous Improvement Processes (CIP)
Proficient in Throughput Improvement Process (TIP)
Advanced understanding of manufacturing and assembly processes
Experience supervising employees in a union environment
Supply Chain or Quality Experience
Experience implementing Built-in-Quality Initiatives
Red X & DFSS Certification
Lean Manufacturing experience
Knowledge of timekeeping systems
General Motors has needs for qualified Industrial Electrician Journeypersons. Working under minimal supervision, the skilled trades Electrician Journeyperson is responsible for layout, installation, repair and preventative maintenance of complicated electrical equipment and circuits, troubleshooting and technical expertise on control systems.
Primary Responsibilities:
Interested individuals must meet the following minimum qualifications:
Physical Requirements
General Motors UAW hourly employment offers a very competitive compensation and benefit package. An annual incentive payout is also available, as qualified.
Relocation and travel expenses will be the responsibility of the applicant.
Please note – per the labor agreement between GM and the UAW, GM may share information and documentation relating to the credentials of applicants for this position (e.g., resumes, journeyperson cards, interview notes, certificates, etc.) with UAW personnel who have a need to know as part of their role on the UAW skilled trades team.
The Role:
General Motors is leading the transformation of the automotive industry through electrification, central compute, and autonomous technologies. We are building a high-energy team of Senior DFx (Design for Manufacturing, Test, and Tooling) engineers to serve as the critical link between internal design teams and contract manufacturers for next-generation ECUs.
This team will establish and drive DFx processes for in-house GM designs, ensuring strong alignment between design and manufacturing. They will bring early insight into manufacturing, assembly, testing, and tooling—embedding best practices, lessons learned, and critical requirements into module development.
We are seeking a high-performing Staff DFx Engineer to represent the voice of manufacturing, testing, and tooling across GM’s electronics development. This role focuses on circuit board design, population, test, and assembly, working closely with both internal design teams and external manufacturing partners.
You will lead DFx strategy and execution for electrical controllers supporting GM’s Software Defined Vehicle (SDV) architecture, while building strong, cross-functional partnerships to ensure successful product delivery.
Responsibilities of the Design for Manufacturing, Design for Testing, Tooling Engineer include:
Your Skills & Abilities (Required Qualifications)
What Will Give You A Competitive Edge (Preferred Skills)
Compensation: The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position, as well as geography of the selected candidate.
• The salary range for this role is (159,400 to 245,000). The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.
• Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.
Benefits:
• Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.
#LI-JK3
]]>Electronic Control Units (ECUs) used in high Automotive Safety Integrity Level (ASIL) applications continue to be an area of growth in the global automotive market. Our team is looking for a creative and highly energetic ECU Hardware Safety Analysis Engineer who can perform ECU circuit level safety analysis work and assist in developing our internal analysis approach and procedures for inhouse electronics designed ECUs. This circuit level electronics safety analysis will be in support of the overall System Safety Case development for ECUs within the Software Defined Vehicle (SDV) electrical architecture technologies that are critical in achieving GM’s Vision of Zero Crashes, Zero Emissions, and Zero Congestion.
The ideal candidate will have previous experience with circuit level safety analysis, drive innovation, facilitate effective communication, and inspire enthusiasm within the team. We expect you to demonstrate leadership qualities, actively champion change, possess keen business intuition, and strategically address systemic challenges. You should also exhibit high learning agility, the ability to navigate ambiguity and complexity, and a commitment to pushing the boundaries of innovation while challenging the status quo.
The Role:
Safety is truly in your hands, as your passion for safe mobility will be key in ensuring the functional safety of our inhouse developed ECUs for our latest vehicle architecture. In this role you are expected to have a high level of technical proficiency to perform various ECU, sub-component and circuit level safety analysis tasks that supports various SDV ECUs, and provide mentoring to more junior engineers. This team will function in the capacity of performing the required safety analysis within an ECU design responsible organization where work products will be delivered to the System Functional Safety organization to meet the overall system safety case and safety goals of the ECU. This team will interface across various GM engineering disciplines as well as external engineering entities to obtain needed information for the required safety analysis work.
What You’ll Do:
Your Skills & Abilities (Required Qualifications):
What Will Give You A Competitive Edge (Preferred Qualifications):
#LI-JK3
]]>The Role
General Motors is seeking a highly skilled and motivated Engine Performance and Calibration 3D CFD Analyst to join our Engine Performance and Calibration team. This role is critical in shaping the future of internal combustion engine (ICE) technology through high-fidelity computational fluid dynamics (CFD) simulations. The ideal candidate will have deep expertise in engine combustion modeling, fuel injection systems, and emissions control, and will contribute to the design and optimization of next-generation gasoline and diesel combustion chambers.
What You'll Do
Your Skills & Abilities (Required Qualifications)
What Will Give You A Competitive Edge (Preferred Qualifications)
This job may be eligible for relocation benefits
#LI-LG2
]]>The Role:
As a Principal Software Engineer, you will be responsible for executing the plan for design, development and testing of automotive infotainment application software using Kotlin/C++/Rust/etc... Work cross functionally with design, product, systems, and program teams to ensure all pieces come together and release of quality software products on time.
In this technical leader role, you will help develop and lead strategic action plans to support business goals. Embrace agile software development practices that will enable you to grow your team's capability for the future with a focus on speed, quality and safety. You will be using the agile concepts to empower your team to innovate and grow technology.
Guide and approve selection of software architecture choices and strategies, supplier partner selection, and ensure smooth, on-time development of products that meet/exceed customer expectations. Lead by example in conducting regular reviews of product capability, quality, and on-time delivery, both internally and with supplier partners.
Translates business objectives and market requirements to actionable deliverables by defining and delivering architectural solutions that will implement highly maintainable and reliable quality Infotainment software
Develop and manage partnerships with key engineering, product planning, marketing, business development, manufacturing, and vehicle development teams and activities
Foster relationships both within and outside of Infotainment development team to ensure a holistic approach to delivering products is achieved.
Facilitate cross functional collaboration with design, product, safety, systems and other groups within and outside the company to implement vehicle infotainment features.
Mentor, coach and develop employees.
Work in Agile environment and engage in defining, planning and analyzing user-stories to meet groups’ strategic objectives.
Understand the existing specifications, software structure, and the changes of the new specifications.
Follow software development processes where quality comes first and ensure that the designed solutions conform to architectural requirements such as scalability, maintainability, reliability, extensibility, usability and security.
Experience developing or leading cross-functional teams of technologists across multiple locations.
Experience with hiring, developing, and recognizing talent.
Experience leading technology delivery efforts at scale managing multiple technology teams.
Engage in all regular software development activities such as architecture, feature requirements, design, code, and test case reviews to ensure that the team delivers high quality code on time.
Establish and monitor budget for responsible activities.
Execute resource planning for required activities.
Model and foster GM's Core Values and Winning Behaviors.
Your Skills & Abilities (Required Qualifications):
Bachelor’s degree in Electronics, Software, Computer Engineering or Computer Science or equivalent work experience
10+ years of experience leading and developing Infotainment HMI Applications or equivalent.
Experience leading a global teams.
Experience in working in Product Driven Organization model.
Large Agile program delivery including technology, API development and integrations, and cloud-based applications.
Strong focus on Customer Experience
Strong troubleshooting skills to triage issues across a complex ecosystem with multiple technologies and service providers in times of critical service interruption
Creative approach to problem-solving with the ability to focus on details while maintaining the “big picture” view.
Ability to quickly learn and understand complex environments and team dynamics.
Proven ability to build effective relationships with technology teams, business partners, and external suppliers to drive technology transformation.
Excellent communication and storytelling skills.
Collaborative team player who thrives in a fast-paced environment.
Value and leverage diversity and has a passion for talent development.
Demonstrated expertise managing teams that deploy modern design patterns and scalable, reusable code in Automotive environments.
Excellent multi-functional communication and leadership skills - able to get multiple teams moving in the same direction.
Demonstrated ability to deal with ambiguity while driving timely decision making.
What Will Give You a Competitive Edge (Preferred Qualifications):
15+ years of experience leading engineering teams that develop embedded software using C/ C++ , and RTOS .
15+ years of experience leading and developing Infotainment HMI Applications or equivalent.
Leadership experience developing and testing automotive infotainment applications for radios and instrument panel clusters.
Ability to influence leaders and team members in a diplomatic way.
Ability to provide a clear point of view and challenge respectfully when necessary.
Possess a high tolerance for ambiguity and an ever-changing environment.
Experience working with Automotive Embedded Systems and deploying applications to embedded target systems.
Leadership experience with ASIL A-D safety compliance.
Ability to manage and lead multiple teams with autonomy and accountability for results.
Leadership of teams of engineers responsible for developing or testing embedded control systems or related hardware in an agile environment
Demonstrated ability to achieve results through effective teamwork, lead numerous projects with different focal areas to successful completion, and manage and measure work through metrics, data, and results
Experience managing a global team that is geographically dispersed
Working knowledge of embedded software development tool set – (e.g. IDEs, Jira, Git ecosystem etc.)
High level of understanding of GM Vehicle Development Process a plus
Compensation: The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of New York, Colorado, California, or Washington.
The salary range for this role: is $197,000 to 358,500. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.
Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.
Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.
Company Vehicle: Upon successful completion of a motor vehicle report review, you will be eligible to participate in a company vehicle evaluation program, through which you will be assigned a General Motors vehicle to drive and evaluate. Note: program participants are required to purchase/lease a qualifying GM vehicle every four years unless one of a limited number of exceptions applies.
The AV Developer Productivity organization is responsible for delivering and maintaining the tools and services engineers in the GM Autonomous org use every day to do their best work and drive our cars forward. Tools and services we work on enhancing the entire development process — how/where code is checked out, modified, compiled, tested, merged, and eventually deployed. Our goal is to ensure our AV engineers and others here have world class tools and a seamless development experience so that they can focus on the problems that matter most in their domain.
The Role
We are looking for a Principal Engineer with an extensive engineering background, experience using a variety of developer tools and technologies, and who is passionate about developer productivity. As a leader on this team, we are looking for someone who cares deeply about the technical development of other engineers on the team and can effectively balance the needs and priorities of the business, our users, and the growth of our engineers.
This engineer will start delivering impact through observability frameworks and will evolve depending on business needs but they will be expected to identify high ROI investments with minimal guidance.
What You’ll Do (Responsibilities)
Using your software and systems engineering skills to contribute code, perform code reviews, and create technical designs that improve performance and reliability of observability systems.
Proactively identify and address challenges that create new opportunities to improve the state of engineering through observability.
Partnering with Software Engineering teams to better understand use-cases and guide the engineers to use the existing tools effectively.
Building tools to enable engineers to collect and act on observability signals from distributed cloud systems and on-vehicle sensors
Influence the team’s technical roadmap by evaluating new tools and technologies through PoCs and selecting roadmap investments that align with our team vision
Drive software engineering best practices both within your team and across the AV organization, and create tooling which encourages these
Guide the team to find the right balance between delivering impact and addressing technical debt
Mentor and grow engineers on the team and across the organization
Minimum Qualifications (Must-Have)
10+ years of experience or proven record of defining and executing technical strategy that required coordination across multiple teams, senior executives, and front-line engineers
Bachelors Degree in Computer Science or related field OR equivalent work experience
Experience driving consensus on a multi-functional effort using influence without authority
Experience in designing and implementing large scale systems
Considerable experience in working with container orchestration systems (eg. Kubernetes)
Proficient in designing and developing sophisticated distributed systems, with expertise in one or more high-level programming languages such as Go, Python, Rust, C/C++, NodeJS or equivalent
Considerable experience with Unix/Linux, SSH, and networking fundamentals
Effective collaboration skills and experience researching, documenting, communicating, and defending proposals and taking and giving critical feedback
Experience mentoring and growing junior engineers
Preferred Qualifications (Nice-to-Have)
Experience working with GCP, AWS, or Azure
Familiarity with Kubernetes, Docker, Istio, Terraform, Prometheus, Grafana, TSDBs and observability pipelines (e.g. either for logging or metrics or tracing)
Skilled in defining and instrumenting SLIs and SLOs
Own or contribute to Open Source projects
Passion for self-driving technology and its potential impact on the world
Compensation: The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of New York, Colorado, California, or Washington.
The salary range for this role: is $280,000 to $384,600. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.
Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.
Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.
Company Vehicle: Upon successful completion of a motor vehicle report review, you will be eligible to participate in a company vehicle evaluation program, through which you will be assigned a General Motors vehicle to drive and evaluate. Note: program participants are required to purchase/lease a qualifying GM vehicle every four years unless one of a limited number of exceptions applies.
]]>REQUIREMENTS : Bachelor’s degree in Motorsports Engineering, Computer Science, or related field of study. Three (3) years of experience as a Systems Engineer or related occupation. Three (3) years of experience in the following: Automotive Electronic systems including CAN ethernet electrical architecture and telemetry; Automotive electronics; Document customer requirements, identify methods to integrate into existing framework translate into functional solutions, and validate changes; Utilize test methodologies and environments including software in the loop (SiL), hardware in the loop (HiL); Finding and solving issue root causes especially in high stress environments; and Project management including issue triage and management.
#LI-DNI
]]>The PLM Systems Training team is seeking a technically strong and customer‑focused NX CAD/CAE Instructor / Developer to support global engineering and manufacturing organizations. This role is responsible for delivering hands‑on instructor‑led and virtual training, developing high‑quality technical courseware and training material, and serving as a subject matter expert (SME) for PLM Systems Software with an emphasis on Computer Aided Engineering applications and functionality.
The ideal candidate brings deep experience with Siemens NX, Teamcenter, Active Workspace, Altair software applications and related CAE tools, and combines technical expertise with strong communication and instructional skills.
Key Responsibilities
Required Qualifications
Siemens NX CAD/CAE applications and functionality
Teamcenter / Active Workspace
CAE tools (e.g., FEA, SimSolid, Mold Flow, Topology Optimization, Ansys, Hypermesh)
Preferred Qualifications
Hybrid: This role is categorized as hybrid. This means the successful candidate is expected to report to Austin, TX three times per week.
We are looking for a Senior Software Engineer to join the team that is revolutionizing the automotive retail experience by building high-performance, customer-centric digital storefronts for GM's global vehicle commerce platform.
You will design and develop scalable, accessible, and reusable UI components using TypeScript , React/Next.js , and SolidJS web components , powering seamless vehicle inventory search, filtering, and discovery experiences across devices and markets. You'll work within a micro frontend architecture using a monorepo, contribute to our internal design system, and drive innovation through behavior analytics, accessibility best practices, and performance optimization.
A core focus of this role is Automation, AI Enablement, and Modernization — you will champion AI-assisted development practices, automate repetitive workflows, and continuously modernize the frontend stack to keep pace with evolving web standards and tooling.
This role requires strong technical depth in modern frontend engineering, a solid understanding of distributed and event-driven systems, and the ability to deliver high-quality, maintainable solutions at global scale. The ideal candidate is a hands-on problem solver who thrives in a collaborative, cross-functional environment and is committed to continuous learning and technical excellence.
Experience building search-driven UIs with advanced filtering, faceted navigation, sorting, and pagination over large vehicle inventory datasets
Familiarity with real-time data feeds and event-driven UI updates to reflect live inventory availability, pricing changes, and dealer allocations
Experience building responsive media galleries with optimized image loading (lazy loading, progressive rendering, CDN strategies) for vehicle photography and 360° views
Understanding of location-based experiences — map integrations, geolocation-aware dealer/inventory lookup, and proximity-based search results
Ability to build comparison and shortlisting experiences that allow users to evaluate multiple vehicles side-by-side with dynamic pricing and feature breakdowns
6+ years of experience in frontend software development, with a proven track record in designing scalable component architectures
Expert-level proficiency in TypeScript , React , and Next.js with deep understanding of modern frontend patterns (hooks, server components, SSR/SSG, ISR)
Hands-on experience with SolidJS or similar reactive frameworks, ideally building web components (Custom Elements) for modular, framework-agnostic delivery
Strong command of CSS/SASS/Tailwind CSS with experience implementing responsive, brand-themed designs across multiple markets
Strong understanding of software architecture , design patterns , and modern programming paradigms including micro frontends, component-driven development, and reactive programming
Demonstrated ability to lead technical initiatives, mentor peers, and drive strategic decisions aligned with business goals
Experience working in Agile/Scrum environments with cross-functional teams (product, design, backend, DevOps)
Expertise in accessibility programming (WCAG 2.x compliance) to meet regulatory standards and enhance user inclusivity across global markets
Proficiency in frontend testing and quality tooling — Vitest, Playwright, BrowserStack, or equivalent — including unit, integration, and end-to-end test automation
Experience with micro frontend architecture and modular build systems (Turborepo, Vite, Rollup) supporting independent deployable packages within a monorepo
Ability to leverage AI-assisted development tools (GitHub Copilot, Cursor, or similar) throughout the SDLC to accelerate delivery
This job may be eligible for relocation benefits.
GM does not provide immigration-related sponsorship for this role. Do not apply for this role if you will need GM immigration sponsorship now or in the future. This includes direct company sponsorship, entry of GM as the immigration employer of record on a government form, and any work authorization requiring a written submission or other immigration support from the company (e.g., H1-B, OPT, STEM OPT, CPT, TN, J-1, etc.)
]]>Sponsorship : GM DOES NOT PROVIDE IMMIGRATION-RELATED SPONSORSHIP FOR THIS ROLE. DO NOT APPLY FOR THIS ROLE IF YOU WILL NEED GM IMMIGRATION SPONSORSHIP (e.g., H-1B, TN, STEM OPT, etc.) NOW OR IN THE FUTURE.
Work Arrangement:
This role is categorized as hybrid. This means the successful candidate is expected to report to the office four times per week or other frequency dictated by the business.
The Role:
MPD Engineer will create MPDs as per the Global MPD standards and process by using different applications/tools. Validate engineering issues (3D math data and part), aligning to the on-time delivery targets with 100% quality, in line with the Global Vehicle Development Program timeline
What You’ll Do
Develop MPDs as defined by the global MPD standards
Communicate engineering issues to DREs
Create MWOs for seeking DE & ME approval for the MPDs
Follow up on the engineering issues and the MWOs
Route parts to the correct MPDs – Initiate Initial PAD No. assignment request for parts in 9s MPD and revised PAD No. assignment for moving parts from incorrect MPDs to correct MPDs and send it to the respective regional coordinators to fix the APA table.
Maintain/Create MPDs based on the ECRs initiated
Reject/Rework ECRs in cases of incomplete input data
Complete ECRs within the stipulated time as agreed with customer
Maintain the ECM inbox as per the MPD timelines
Create and publish items with Vsd files in TcAE
Perform self-check as per the process and submit the MPDs for peer review
Adhere to MPD release process as per the MPD process flow
Update all the project tracking sheets
Update timesheets daily
Provide and support trainings to new engineers
Manage MPD creation and maintenance activities to ensure the deliverables are on track, Workload forecast and resource planning
Track & report FTQ, OTD & Efficiency targets
Focus on Continuous Improvements, OPEx, Mfg. 4.0, and drive & support team in developing effective RCAs
First level escalation of engineering issues and MWOs pending for approval to DRE, ME leadership & program team as per the schedule
Support leader in Skill Assessment and develop the training plan based on the skill assessment
Drive Solution Delivery activities
Conduct random audits
Maintain & Update training material / NCSW / Process Documents
Additional responsibilities specific to SME (Subject Matter Expertise) roles are listed below
Act as coach/mentor/Goto person for the business unit for questions and problems within his/her area of expertise.
Support functional leader in developing strategies related to project executions, workshare skill-gap closure plans, assessment tools
Support in GMS implementations within function
Support in defining performance objectives, defining acceptable performance levels & project tracking
Guide to resolve issues relevant to project deliverables within their area of expertise.
Obtain or provide approval/guidance for changes to processes and practices within their area of expertise (Through Global council meetings, if necessary).
Facilitate and lead in appropriate initiatives/projects as needed
Your Skills & Abilities (Required Qualifications)
We provide job specific functional training to impart knowledge and build skills through on-the-job assignments. The incumbent will be provided with the opportunity to develop the capability to do the task initially under guidance & supervision and subsequently become an independent contributor, delivering value to the organization.
B. E / B.Tech (Mechanical / Production / Industrial / Automobile)
0-4 years in Automobile / Mechanical allied Engineering Industry
Vehicle Anatomy, Basic TcAE, Basic NX, Vis MOCKUP, MS Office tools, Visio, Creating VBA Macros, Python, AI skills.
Vehicle anatomy, and product structure
Experience in developing assembly instructions/ manuals for pre/production activities
Experience in Teamcenter applications, NX
Experience on working in plant floors and manufacturing environments/setups
High interpersonal, oral, and written communication skills, ability to interact with all levels of the organization
High level of analytical ability and problem-solving skills
Handle multiple assignments simultaneously.
High level of integrity, ability to deal with ambiguity, takes initiative/self-directed.
Good work ethic and strong sense of ownership of end result
Work with intercultural & multi-disciplinary teams to achieve enterprise goals.
Demonstrated understanding of plant floor (Preferred).
REQUIREMENTS: Bachelor's degree in Electrical Engineering, Mechanical Engineering, Computer Engineering, Computer Science, or related field of study and Five (5) years of experience as a Software Engineer, Electrical Engineer, or related occupation. Requires five (5) years of experience with the following: MATLAB/Simulink modeling, C code or other software related tools; and Algorithm and software development and or calibration of vehicle motion controls. Requires four (4) years of experience with the following:
CAN, LIN, or Ethernet communications protocol; and JIRA and Git EcoSystem.
#LI-DNI
]]>Compensation:
Sponsorship : GM DOES NOT PROVIDE IMMIGRATION-RELATED SPONSORSHIP FOR THIS ROLE. DO NOT APPLY FOR THIS ROLE IF YOU WILL NEED GM IMMIGRATION SPONSORSHIP (e.g., H-1B, TN, STEM OPT, etc.) NOW OR IN THE FUTURE.
Work Arrangement:
This role is categorized as hybrid. This means the successful candidate is expected to report to the office four times per week or other frequency dictated by the business.
What You’ll Do
Your Skills & Abilities (Required Qualifications)
Hybrid: The successful candidate is expected to report to Milford, MI three times per week, at minimum, or as dictated by the business.
The Role:
As a Software Integration Lead (SWIL) on the Mechatronics Infrastructure Software Team, you will own the technical execution of integrating software components into cohesive, reliable builds. You will collaborate across development, quality, and stakeholder groups to ensure compatibility, resolve integration issues, and deliver high‑quality software that supports GM’s next‑generation mechatronic systems.
The Team:
The Mechatronic Software Platform Organization leads a mission to create a robust mechatronic software infrastructure that enables GM to deliver features and functions that excite and delight our customers. We are an engaged, inclusive, and innovative team that adapts to challenges and works together to enable the enterprise to deliver and test application code frequently and efficiently in support of our Software Defined Vehicle future. These are exciting times, and we want you to be part of our mission.
What You’ll Do:
Own the technical execution of integrating software components to produce cohesive and reliable software builds
Collaborate with development teams to ensure compatibility and functionality of integrated components
Develop software solutions or scripts to support integration and improve component compatibility
Troubleshoot and resolve software compatibility issues to ensure all components work harmoniously together
Perform thorough checkout testing of software builds to verify functionality and address issues before handoff
Document integration processes, configurations, and build procedures for future reference
Work closely with quality assurance teams to address defects and ensure seamless integration
Provide stakeholders with updates on build progress, timelines, and challenges
Stay current on industry best practices and tools for software integration and development
Provide technical leadership and mentorship to team members involved in the integration process
Your Skills & Abilities (Required Qualifications)
Bachelor’s degree in Software Engineering, Computer Science, or a related field
5+ years of experience in software development, integration, or build management
Strong knowledge of the software development lifecycle and version control systems (e.g., Git, SVN)
Experience troubleshooting and resolving software compatibility issues
Familiarity with build automation tools and integration frameworks
Proficiency in programming languages such as Python, C++, or Java
Solid understanding of quality assurance processes and software testing methodologies
Excellent problem‑solving skills and attention to detail
Strong communication and collaboration skills to work effectively with cross‑functional teams
Ability to manage multiple tasks and deadlines in a fast‑paced environment
What Will Give You a Competitive Edge (Preferred Qualifications)
Master’s degree in Software Engineering, Computer Science, or a related field
8+ years of experience in software development, integration, or build management
Experience providing technical leadership or mentorship in integration environments
Experience developing automation scripts or tools to support integration workflows
Background working with large‑scale or distributed software systems
Familiarity with CI/CD pipelines, build orchestration, or automated testing frameworks
Every day, our products move millions of people as we aim to make driving safer, smarter, and more connected, shaping the future of transportation on a global scale.
Global Laboratory Systems Engineering (GLSE) is the team responsible for defining and executing developmental manufacturing and test solutions within GM labs and garages. We cover manufacturing and testing projects across the globe with a constant focus on Safety, Quality, and Common data collection. We strive to work seamlessly with GM Product Engineering, GM Manufacturing Engineering, GM Laboratory Operations, and strategic external suppliers to provide high value equipment and systems to General Motors. Our team covers a complex mix of projects and work, ranging in size and scope, both short term and long term. This results in countless opportunities to work with new technology and grow as individuals and as a team.
We are seeking a Controls & Process Engineer to join our growing team! In this role you will be responsible for the successful implementation and validation of equipment and systems controls in new and existing applications. To accomplish this, you will partner with product engineering, manufacturing engineering, suppliers, and outside resources. Scope of work includes electric propulsion systems, battery cell manufacturing equipment, test measurement and control systems, PLC & PC software, and mechanical/electrical systems. You will develop and interpret standards, coordinate integration and installation of equipment and test systems, resolve equipment issues, support upgrades and improve equipment and test uptime, and ensure test data quality. In addition to controls engineering knowledge, an understanding of complex engineering theory and principles of mechanical and electrical mechanisms and experience in equipment installations and rearrangements are key to your success. Interested in learning more about this opportunity and GM’s path towards electrification and new cell innovation?
What You’ll Do (Responsibilities):
Lead and support projects that define, source, engineer, integrate, install, and commission new capital equipment into General Motors laboratories
Provide controls related technical direction and oversight to outside vendors/suppliers
Generate technical solutions for current and future projects & equipment from a controls & process engineering perspective
Understand and work to timelines and milestones for projects/assignments to meet the expectations and requirements of internal and external customers.
Provide technical support for escalated issues at labs and garages
Lead continuous improvement engineering activities
Follow all corporate safety standards and site safety policies
Domestic & International travel - about 5-10%
Your Skills & Abilities (Required Qualifications):
Bachelor of Science degree in Engineering
5+ years of experience in equipment controls & process integration and commissioning
Demonstrated ability to manage multiple and complex projects with high level of autonomy and accountability for results
Knowledge of equipment specification and qualification
Ability to travel, domestic and international
What Can Give You a Competitive Edge (Preferred Qualifications):
Masters degree in Engineering
Experience with GM-specific processes, including G-risk, G-comply, Design for Health & Safety, Safety Control Systems
Experience purchasing capital equipment
Outstanding interpersonal relationship and communication skills to effectively collaborate with varying levels of the organization
Creative in meeting project quality, timing, and cost landmarks
Emerging partnership and teamwork skills and ability to learn from and share knowledge with co-workers in a fast-paced environment
HMI- Rockwell, Siemens, Mitsubishi and/or Beckhoff experience
PLC- Rockwell, Siemens, Mitsubishi and/or Beckhoff experience
Proficiency in industrial networking protocols – Profibus, Profinet, TCP/IP and EthernetIP
Sponsorship:
GM DOES NOT PROVIDE IMMIGRATION-RELATED SPONSORSHIP FOR THIS ROLE. DO NOT APPLY FOR THIS ROLE IF YOU WILL NEED GM IMMIGRATION SPONSORSHIP NOW OR IN THE FUTURE. THIS INCLUDES DIRECT COMPANY SPONSORSHIP, ENTRY OF GM AS THE IMMIGRATION EMPLOYER OF RECORD ON A GOVERNMENT FORM, AND ANY WORK AUTHORIZATION REQUIRING A WRITTEN SUBMISSION OR OTHER IMMIGRATION SUPPORT FROM THE COMPANY (e.g., H-1B, OPT, STEM OPT, CPT, TN, J-1, etc.)
]]>As a Senior Software Engineer on the Rendering Infrastructure team, you will build the systems that turn a GPU-accelerated, physically-based sensor simulator into a production platform — one that runs reproducibly, at cluster scale, and against production-representative autonomous vehicle interfaces. This is a systems role at the boundary of rendering, simulation, perception, and distributed infrastructure. You will connect the renderer to AV software stacks and compute clusters, reproduce real sensor scheduling and vehicle timing, run many worlds concurrently on a single GPU, and make the runtime start fast and stay cheap across thousands of workers. Your work determines whether closed-loop simulation — the vehicle software in the loop with the renderer, not just offline synthetic data generation — is trustworthy and affordable: whether a run reproduces, whether synthetic sensor feeds arrive with the same timing quirks the real vehicle sees, and how many scenarios we can execute per GPU-hour. We build in modern C++ and Python on Linux, with ROS, PyTorch, CUDA, NVIDIA OptiX, NVIDIA MDL, and OpenUSD. We're looking for someone who enjoys this layer — debugging nondeterminism across a process boundary, cutting cold-start time by changing how a runtime is packaged, and reasoning about GPU memory and IPC in the same conversation.
The Rendering Infrastructure team owns the foundational systems the broader Rendering team builds on top of: asset and scene ingestion, GPU memory and resource management, acceleration structure construction, packaging and deployment, profiling infrastructure, and the core engine abstractions of our physically-based sensor simulation system. We also own how the renderer connects to the AV stack and world simulator, as a library or a service, and how consumers configure it — what it produces, at what fidelity, and how it behaves when something goes wrong. We sit between the rendering algorithms team and everyone who consumes simulated sensor data — perception training, closed-loop validation and reinforcement learning. We care about determinism, throughput per GPU, iteration speed, and infrastructure that stays comprehensible as it scales.
Work on hard systems problems with an unusually clear definition of success — reproducibility, timing fidelity, frames per second per GPU, and worker spin-up time are all measurable, and all of them matter. Own meaningful surface area: the AV stack integration and transport layer, the sensor scheduling and timing model, multi-world rendering on a single GPU, or the runtime deployment and asset delivery path, depending on your strengths. Sit at the center of the simulation stack, where rendering, perception, and infrastructure meet, and see your work used across the organization for perception training, closed-loop simulation, and reinforcement learning. Join a team that pairs rigor — design documents, reproducibility, profiling, and regression testing — with pragmatic engineering and short feedback loops.
You will own one or more of the following areas and contribute across the others, depending on your strengths and team priorities.
Experience in one or more of the following is helpful; we do not expect any candidate to have all of it.
Relevant experience may come from robotics, perception, simulation, rendering and graphics, game engines, HPC, or distributed systems infrastructure. Direct autonomous vehicle experience is not required. Successful candidates will combine strong software engineering fundamentals with practical intuition for sensor data, simulation timing, GPU execution, and distributed runtime environments.
The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of New York, Colorado, California, or Washington.
GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.
This role can be based remotely.
*This job may be eligible for relocation benefits if you are interested in relocating to the Bay Area.
]]>Preferred Experience Includes:
Primary Responsibilities:
Physical Requirements
Please note – per the labor agreement between GM and the UAW, GM may share information and documentation relating to the credentials of applicants for this position (e.g., resumes, journeyperson cards, interview notes, certificates, etc.) with UAW personnel who have a need to know as part of their role on the UAW skilled trades team.
Vacancy Status:
This posting is for an existing vacancy within the organization and is open to new applications.
AI Disclosure:
As part of the application process, Artificial Intelligence will be used in the hiring process for this role
Work Arrangement: This opening is hybrid, the successful candidate is expected to report to the office - Markham Elevation Centre (MEC) three times per week, at minimum.
The Role:
This role is part of a group responsible for creating virtual in-the-loop environments to enable development, verification and validation of embedded controllers and calibrations for the Propulsion Thermal Management System domain.
The Software-in-the-Loop (SIL) Simulation Integration Engineers (SIE) are ultimately responsible to deliver a quality simulation environment on time to meet the customers’ requirements. This position requires an individual with a passion for modeling, an adept knowledge of system simulation and integration, and demonstrated capability for managing a wide variety of technical and customer needs.
What You'll Do (Responsibilities) :
Lead the development and integration of cosimulation components to satisfy the end user test requirements.
Create virtual controller models to be used across different simulations
Create, maintain and test virtual controller components such as HWIO, RTOS, communication models, etc.
Obtain, develop & parameterize sub-system models, such as sensors and actuators, and ECU behavioral models
Work with development engineers to understand new feature requirements, address issues, and ensure proper implementation
Work with System Engineers to define SIMBOMs (the required cosimulation assets) based on the test requirements.
Integrate Plant models and other ECU models into a dynamic virtual simulation
Create and maintain detailed documents for each release
Provide support for released simulations and assist with user testing and troubleshooting
Provide technical support and guidance to other team members
Ensure the cosimulation environments are delivered with quality
Support cloud deployments
Your Skills & Abilities (Qualifications):
Bachelor of Science degree in one of the following disciplines: Engineering, Computer Science or related fields
3-7 years of software engineering experience
Proficient in Embedded C and Python
Competent with embedded controls software and the automated software build processes including gcc compiler, gdb debugger, Eclipse, Jenkins and ETAS INCA tools
Adept experience with MATLAB and Simulink in context of plant model development and integration and basic usage of additional simulation tools (e.g. GT-Power, AMESIM, CarSim)
Proficient in automotive communication technologies such as CAN, LIN, SPI and automotive ethernet.
Familiar with FMU/FMI standards and SSP.
Familiar with AUTOSAR Layered Software Architecture.
What Can Give You A Competitive Edge ( Preferred Qualifications):
Master’s degree in a field of Engineering, Computer Science or related fields
5+ years of embedded software development experience
Experience in virtualization or software integration
Experience in designing and developing vehicle body controls, propulsion thermal, battery management, chassis and brake controls software
Compensation:
The salary range for this role is $115,000 to $164,600. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.
GM DOES NOT PROVIDE IMMIGRATION-RELATED SPONSORSHIP FOR THIS ROLE. DO NOT APPLY FOR THIS ROLE IF YOU WILL NEED GM IMMIGRATION SPONSORSHIP NOW OR IN THE FUTURE.
Benefits Overview
The goal of the General Motors of Canada total rewards program is to support the health and well-being of you and your family. Our comprehensive compensation plan currently includes the following benefits, in addition to many others:
Paid time off including vacation days, holidays, and supplemental benefits for pregnancy, parental and adoption leave;
Healthcare, dental, and vision benefits;
Life insurance plans to cover you and your family;
Company and matching contributions to a Defined Contribution Pension plan to help you save for retirement;
GM Vehicle Purchase Plan for you and your family.
The Body Maintenance Planner coordinates and prepares maintenance work so body department equipment and facilities can operate safely, reliably, and efficiently. This role develops job plans, schedules planned work, improves preventive-maintenance effectiveness, coordinates parts and resources, and supports maintenance leadership with accurate work-order information and performance reporting.
The planner works closely with maintenance group leaders, skilled trades, operations, manufacturing engineering, safety, quality, purchasing, stores, suppliers, and contractors. The role helps convert equipment needs into executable work that improves safety, uptime, throughput, quality, cost, and environmental performance.
What You’ll Do
Review maintenance requests, equipment issues, inspection findings, and preventive-maintenance requirements for the body department.
Develop complete work packages that define the scope, sequence, labor requirements, skills, tools, materials, permits, safety controls, and estimated duration for planned work.
Create, update, and monitor work orders, job plans, preventive-maintenance tasks, routes, and equipment records in the computerized maintenance-management system.
Prioritize maintenance work with department leadership based on safety, regulatory requirements, equipment criticality, production impact, quality risk, and available resources.
Coordinate daily and weekly maintenance planning with maintenance group leaders, skilled trades, operations, manufacturing engineering, and other affected departments.
Plan shutdown, weekend, outage, and major repair activities, including work sequencing, contractor coordination, material readiness, and schedule tracking.
Confirm that required parts, tools, equipment, drawings, procedures, permits, and technical support are available before work is scheduled.
Partner with stores and purchasing to identify replacement parts, establish appropriate stocking levels, resolve material shortages, and support point-of-use availability.
Review equipment history, recurring failures, backlog, downtime, preventive-maintenance compliance, and other maintenance data to identify improvement opportunities.
Support root-cause investigations and develop corrective actions that reduce repeat failures and improve equipment reliability.
Coordinate with suppliers and contractors on estimates, scope, site access, safety requirements, work execution, and closeout documentation.
Support maintenance work involving body process equipment, conveyors, robots, pumps, vision systems, fans, sealer, material systems, utilities, controls, and environmental equipment.
Verify that completed work orders contain accurate labor, parts, failure information, follow-up actions, and technical documentation.
Maintain current equipment records, bills of material, preventive-maintenance procedures, inspection routes, drawings, manuals, and maintenance standards.
Participate in maintenance priority meetings, shutdown reviews, equipment buyoffs, reliability reviews, and continuous-improvement activities.
Support safe work planning, including lockout, energy-control requirements, confined-space or hot-work planning when applicable, pre-task planning, and required permits.
Prepare and communicate maintenance schedules, backlog reports, project updates, risks, and completion status to department leadership.
Help develop and maintain standardized work for maintenance planning and improve the quality, timeliness, and execution of planned work.
Your Skills & Abilities (Required Qualifications)
Experience in maintenance, maintenance planning, scheduling, manufacturing engineering, facilities, or industrial operations.
Working knowledge of preventive maintenance, predictive maintenance, corrective maintenance, work-order management, and equipment reliability practices.
Ability to develop clear job plans and estimate labor, materials, tools, equipment, and work duration.
Experience using a computerized maintenance-management system or comparable work-order system.
Ability to read and interpret equipment manuals, maintenance procedures, technical drawings, electrical schematics, and bills of material.
Strong organization, prioritization, communication, and follow-through skills.
Ability to work effectively with skilled trades, maintenance leadership, production, engineering, suppliers, and contractors.
Commitment to safe work practices, environmental compliance, and continuous improvement.
Ability to work occasional off-shift, weekend, shutdown, and extended hours as needed to support the planning and coordination of major maintenance activities, equipment repairs, contractor work, and production support requirements.
What Will Give You a Competitive Edge (Preferred Qualifications)
Associate or bachelor’s degree in engineering, maintenance, manufacturing, industrial technology, or a related field is preferred.
Experience in an automotive manufacturing or body shop environment.
Experience planning maintenance for conveyors, pumps, motors, drives, robots, process systems, utilities, or environmental equipment.
Experience with Maximo or another computerized maintenance-management system, including work-order reporting, job plans, preventive-maintenance schedules, asset records, and bills of material.
Knowledge of maintenance shutdown planning, contractor management, equipment buyoffs, and production-support activities.
Familiarity with reliability-centered maintenance, total productive maintenance, failure-mode analysis, root-cause problem solving, and lean manufacturing.
Knowledge of lockout, energy-control requirements, pre-task planning, hazard recognition, and plant safety systems.
Experience using Microsoft Office, maintenance reporting tools, equipment history, downtime data, or dashboard applications.
Technical experience with mechanical, electrical, controls, pipefitting, millwright, or industrial equipment systems.
Every day, our products move millions of people as we aim to make driving safer, smarter, and more connected, shaping the future of transportation on a global scale.
The Role:
Within the Specialty Vehicle Programs, we are looking for dedicated and innovative team members to expand our experience base. We have a new project in development and in need of engineering leaders to guide a team of engineers, technicians, and others within the group or outside the group for a common goal.
The correct candidate for this position is highly motivated, creative and wants to be challenged by working in a dynamic environment where his/her experience and passion can be put into practice every day. This role will span from Advanced System Development to Execution (manufacturing). Expectations are high that each member of the Special Vehicle Program team is doing what is needed to execute each step of the process. The right candidate will have experience in Electrical/ Power & Signal Distribution Systems (PSDS), integration, and development of new concepts through production intent design, prototype, testing and production manufacturing. This role requires creativity and a high level of independent judgement. This position requires collaboration with external customers and suppliers and demonstrates flexibility to integrate solutions to meet all requirements.
Qualified individuals are typically responsible for implementing functional strategy and advising management during regular reviews. As a fully qualified contributor the candidate will possess broad technical knowledge, training and understanding combined with creative and independent thinking, as well as conceptual ability to related work performed within their department.
What You'll Do (Responsibilities):
Model and promote desired GM core values and GM behaviors.
Create unique and highly integrated technical engineering solutions to address unusual challenges
Provide strategic vision to enable solutions related to Electrical/ Power & Signal Distribution Systems (PSDS), and related areas.
Lead design release execution for assigned PSDS electrical content, including wiring harnesses, connectors, brackets, and related power/signal distribution components.
Coordinate with adjacent functions on electrical architecture, ICD/eSCI interfaces, schematics, and related system integration activities.
Leverage established networks (SMTs, Program teams, Suppliers, etc.) to execute the project on time and with quality.
Actively communicate with team members to understand challenges, complexities, and issues. Remove roadblocks.
Support the customer requirements by defining and executing the system/ subsystem scope.
Review functional requirements and provide feedback to stakeholders/ partners to improve clarity or consistency with established engineering strategies.
Identify & support opportunities to develop, deploy, and improve processes, quality and reduce cost.
Drive prompt issue resolution.
Demonstrate the technical mastery of his/her field.
Responsible for all Electrical/ Power & Signal Distribution Systems (PSDS) and interfaces that are defined and documented including packaging of components.
Coordinate creating SOR’s and SOW’s for all Electrical/ PSDS and execute the design with selected suppliers
Coordinate requirements and design reviews with suppliers e.g. GD&T requirements, DFMEA, DRBFM, Peer Reviews.
Lead / Direct NX Designers in system development, packaging and integration requirements.
Create and maintain Bill of Material and associated key attributes (mass, material, cost, lead time, resource, etc.)
Provide technical direction / performance requirements to Supporting Subsystem Engineers, Designers, and Technicians, with a primary focus on total vehicle integration / functionality and assembly
Analyze designs using engineering and mathematical principles and tools.
Create, review and release math and drawings to Build Shop and/or Suppliers.
Ensure hardware prototypes are validated and available for key pre-production vehicle build milestones.
Support property builds on-site.
Your Skills & Abilities (Required Qualifications):
Bachelor of Science – Electrical Engineering, Mechanical Engineering, or other Engineering-related discipline
5+ years of Electrical/ Power & Signal Distribution Systems (PSDS) product development experience with demonstrated levels of outstanding performance.
Exposure to Electrical/ PSDS development and associated systems.
Experience in Automotive Electrical/ PSDS Organization (SMT) and Vehicle Integration.
Demonstrated ability to complete successful projects on time.
Ability to manage complex assignments with high levels of composure and effective implementation.
Ability to network effectively with key stakeholders, internal and external to GM.
Effective verbal and written communication skills. Ability to frame complex issues in a clear and concise manner.
Ability to identify and remove roadblocks, and ability to solve complex problems.
Demonstrated technical depth including product and process experience integral to the team’s deliverables.
Experience in component, system and total vehicle packaging and integration.
NX CAD experience
Ability to work with salaried internal build shops
This position requires a valid security clearance or ability to obtain a security clearance at a level for which the U.S. Government requires U.S. Citizenship. The successful candidate must have eligibility to access classified information at that level.
What Can Give You a Competitive Edge (Preferred Qualifications):
Master of Science – Electrical or Mechanical Engineering
7+ years of Electrical/Power & Signal Distribution Systems (PSDS) product development experience with demonstrated levels of outstanding performance.
3+ years of advanced vehicle development experience (pre-VPI).
Experience in GM electrical release tools, processes, and documentation workflows.
Familiarity with PSDS-specific work areas such as harness design, connector application, DFMEA, ICDe/eSCI, and manufacturing integration
5+ years of Electrical architecture development experience, focused on Power & Signal Distribution Systems (PSDS) development
Capability in NX, NX Drafting, Teamcenter, and Teamcenter Visualization Mockup (TcVis).
Capability in Capital Tool
Understanding prototype and production Design and Manufacturing processes.
DFSS Master Black belt certification.
Sponsorship:
GM DOES NOT PROVIDE IMMIGRATION-RELATED SPONSORSHIP FOR THIS ROLE. DO NOT APPLY FOR THIS ROLE IF YOU WILL NEED GM IMMIGRATION SPONSORSHIP NOW OR IN THE FUTURE. THIS INCLUDES DIRECT COMPANY SPONSORSHIP, ENTRY OF GM AS THE IMMIGRATION EMPLOYER OF RECORD ON A GOVERNMENT FORM, AND ANY WORK AUTHORIZATION REQUIRING A WRITTEN SUBMISSION OR OTHER IMMIGRATION SUPPORT FROM THE COMPANY (e.g., H-1B, OPT, STEM OPT, CPT, TN, J-1, etc.)
]]>The Role:
The OTA Quality Engineer is a key technical engineer supporting enterprise wide Over the Air (OTA) software update performance, triage, and quality execution across current and emerging vehicle platforms. This role blends hands on problem solving with systems level thinking, focusing on integration, troubleshooting, data analysis, and disciplined execution to ensure first time quality, efficient issue resolution, and robust OTA performance in fleet, development, and plant environments.
The engineer will serve as a central connection point across software integration, deployment, vehicle teams, ECU owners, and quality organizations to help deliver secure, reliable updates for VIP and SDV platforms. This role works closely with the OTA Vehicle System Engineers (VSE) team and Engineering Group Leaders to align OTA strategy with program objectives, ensure OTA readiness, drive real time triage and resolution of issues during OTA events, and enable robust delivery and closed loop learning from development updates through launch and in field performance.
The position is hybrid based at Milford Proving Ground and the Warren Technical Center, supporting frequent vehicle and bench investigations, root cause, and verification.
What You'll Do:
Your Skills and Abilities (Required Qualifications):
What Will Give You A Competitive Edge (Preferred Qualifications):
Sponsorship Eligibility:
GM does not provide immigration-related sponsorship for this role. Do not apply for this role if you will need GM immigration sponsorship now or in the future. This includes direct company sponsorship, entry of GM as the immigration employer of record on a government form, and any work authorization requiring a written submission or other immigration support from the company (e.g., H1-B, OPT, STEM OPT, CPT, TN, J-1, etc).
Additional Information:
This position may be eligible for relocation benefits.
What You’ll Do
Your Skills & Abilities (Required Qualifications)
What Will Give You a Competitive Edge (Preferred Qualifications)
General Motors has a need for qualified Mechanical Journeypersons (Millwrights.) You will work under minimal supervision with a high level of independent judgement and problem solving. You should be flexible enough to take on and tackle multiple job assignments in a shift.
Preferred Experience Includes:
Experience with planned maintenance systems and predictive technologies
Experience with industrial robotics, automation, and conveyance systems
Primary Responsibilities:
Follow established safety procedures according to OSHA standards and company procedures
Maintain, dismantle, repair, and replace mechanical and hydraulic components (e. g. bearings, seals, details, carriers, etc.) on industrial machinery such as shafting, motors, generators, air compressors, engines, pumps, cylinders, gears, couplings, linkages, ball screws, high speed CNC spindles, coolant systems and filters, and combustion equipment and valves
Layout, assemble, fabricate, maintain, and repair piping systems
Use various hand or power tools for measuring, cutting, threading, grooving, bending, soldering, assembling, joining, and installing pipes, valves, and fittings
Read and interpret blueprints for the mechanical operation and assembly of conveyor systems, material handling systems, robots, and other automation
Operate mobile equipment (e.g. forklifts, vertical lifts, cranes)
Determine loading requirements to rig equipment and material for lifting
Set up and operate conventional or computer numerically controlled (CNC) machine tools such as lathes, milling machines, and grinders to cut, bore, grind, or otherwise shape parts to prescribed dimensions and finishes
Fabricate punches, tools, steel rule tools and t-sets to exact specifications
Plan sequences of operations for fabricating tools or assemblies using blueprints, sketches, or models
Determine quality of finished products, ensuring defect-free parts, by verifying dimensions, alignment, and clearances for conformance to specifications using measuring instruments such as calipers, gauge blocks, micrometers, and dial indicators
Interested individuals must meet the following minimum qualifications:
At least six (6) years of related experience in a Mechanical trade (millwright, pipefitter, toolmaker, machine repair) or a U.S. Department of Labor Certificate of Completion in a Mechanical trade (millwright, pipefitter, toolmaker, machine repair).
Must be able to satisfactorily complete the General Motors hiring process requirements which includes comprehensive assessments, drug testing, and a background check
At least 18 years of age
Eligible to work in the United States
Must be willing to work flexible shift hours and day, afternoon, or night shifts as well as overtime hours daily, weekend and holidays on those shifts with little notice
GM DOES NOT PROVIDE IMMIGRATION-RELATED SPONSORSHIP FOR THIS ROLE. DO NOT APPLY FOR THIS ROLE IF YOU NEED OR WILL NEED GM IMMIGRATION SPONSORSHIP TO WORK OR TO REMAIN EMPLOYED AT GM (e.g., H-1B, TN, STEM OPT, etc.).
If you are a current GM employee operating under a collective bargaining agreement, please contact your local HR/LR for employee placement opportunities.
This position may be filled with a Journeyperson or Journeyperson In Training, the compensation ranges for a JIT include ($37.78 - $44.08) or Journeyperson rate of ($44.98). Certificates/credentials and scoring in interview will determine your status and pay
General Motors UAW hourly employment offers a very competitive compensation and benefit package. An annual incentive payout is also available, as qualified.
Relocation and travel expenses will be the responsibility of the applicant.
Physical Requirements
Quick response to safety instructions, alarms, and signals are a must
Ability to work and stand for extended periods
Comfortably wear personal protective equipment
Navigate a busy environment
Bend, twist, kneel, crouch, and reach
May need to lift or carry materials weighing up to 50 lbs. depending on department
Occasional sitting during certain tasks
Drive mobile equipment when needed
Please note – per the labor agreement between GM and the UAW, GM may share information and documentation relating to the credentials of applicants for this position (e.g., resumes, journeyperson cards, interview notes, certificates, etc.) with UAW personnel who have a need to know as part of their role on the UAW skilled trades team.
By joining us, you will have the opportunity to support our Image Processing/LVM Controller Systems initiative and help deliver high-quality viewing experiences to our consumers. You will work with cutting-edge technologies, collaborate with talented teams, and help drive impactful projects that make a difference in the exciting field of camera and viewing experiences.
This is a senior quality engineering role, and we are looking for individuals who have demonstrated success in validating and maintaining large-scale, complex systems. Our engineers have a passion for quality, efficiency, and reliability to help us accelerate and innovate in this exciting and critical space. Our team believes in extreme ownership where we manage the scale, availability, and operations for our camera viewing features.
As a senior quality engineer, you’ll be partnering with teams across the Software and Services organization, including IVC/camera and calibrations, Test Automation/Jenkins, Bench, Lab, and Vehicle Automation, and Quality Defect Triage teams to identify dependencies, drive issues to closure, and provide the end-to-end validation deliverable.
A successful member of the Image Processing/LVM Controller Systems organization demonstrates customer focus, a drive for results, and the ability to work effectively through ambiguity, evolving requirements, and unclear definitions. You will influence change, take ownership of system-level test strategy across bench and vehicle environments, explore opportunities to add value to job responsibilities, and continue to develop critical skills and technical expertise.
The GM Defense Design Group Manager (DGM) in the GM Defense team will be responsible for leading the up-front, progressive design activities in an exciting, fast-paced environment on military/government programs as well as special projects. This key person will lead, manage, mentor and oversee day to day operations for a group of Designers and Design Lead Technical's (DLTs) on advanced GMD programs and projects. Activities are expected to include workload prioritization, workload balancing, and driving the team for innovative design solutions. Beyond leading a direct team, the selected candidate will have opportunity to work with Chief Engineers, Program Engineering Managers, Architecture System Engineers, Compartment Integration Teams, Advanced Build Operations, Manufacturing, Sustainment, Suppliers and others to design, engineer and build the entire vehicle design solution that meets the requirements of the Business Development proposal.
This leader will be expected to build and foster relationships with the GM Commercial (LLC) Design organizations. This critical relationship will drive consistency of applicable commercial processes for effectiveness and efficiency. In addition, this leader may facilitate leveraged resources for peak work and specialty skilled design activities. The Design Group Manager is expected to adhere to all ITAR requirements (International Traffic in Arms Regulations).
What You'll Do
Your Skills & Abilities (Required Qualifications)
What Will Give You A Competitive Edge (Preferred Qualifications)
#GMD
]]>This role is not eligible for relocation assistance.
At General Motors, our product teams are redefining mobility. Through a human-centered design process, we create vehicles and experiences that are designed not just to be seen, but to be felt. We’re turning today’s impossible into tomorrow’s standard —from breakthrough hardware and battery systems to intuitive design, intelligent software, and next-generation safety and entertainment features.
Every day, our products move millions of people as we aim to make driving safer, smarter, and more connected, shaping the future of transportation on a global scale..
About the Role:
Join a dynamic team delivering dealer-installed accessory chassis and performance products across GM vehicle architectures. In this role, you will lead approved projects from concept through production, including customer requirements, design and release, sourcing, validation, launch, and lifecycle support.
You will work closely with vehicle programs, suppliers, design, purchasing, and engineering teams to deliver high-quality accessory solutions on time. You will also help shape future offerings through benchmarking, proposal development, and innovation.
We’re looking for someone who brings:
Strong technical creativity and engineering judgment
Persistence, resourcefulness, and self-motivation
Confidence working in ambiguity and driving decisions
A track record of delivering high-quality products
Strong collaboration and communication skills
Lead accessory chassis and performance projects from concept through launch and lifecycle support
Define product requirements and support sourcing, part development, and validation activities
Lead cross-functional product development team meetings and drive execution with suppliers and internal partners
Manage cost, timing, and part release activities for assigned programs
Partner with Design Studio, Purchasing, and suppliers to deliver high-quality, criteria-compliant solutions
Support future product development through benchmarking, business cases, and supplier innovation
5+ years of experience as a Product Development Engineer, Vehicle Performance Engineer, or in a related role
Bachelor’s degree in Engineering, Computer Science, or a related technical field
Strong analytical, communication, and problem-solving skills
Ability to work independently and collaborate effectively across functions
Exposure to CAD, CAE, Teamcenter, vehicle development, and validation processes
Demonstrated interest in vehicle performance enhancement
Experience with vehicle chassis systems
Understanding of GM Vehicle Development Process and program execution fundamentals
Understanding of Accessories, Aftersales, and dealership operations
Experience applying AI to improve efficiency
DFSS training or certification
Additive manufacturing experience
Familiarity with eMerge, PRTS, DFMEA, DRBFM, and related GM tools
Advanced degree in a relevant field
GM DOES NOT PROVIDE IMMIGRATION-RELATED SPONSORSHIP FOR THIS ROLE. DO NOT APPLY FOR THIS ROLE IF YOU WILL NEED GM IMMIGRATION SPONSORSHIP NOW OR IN THE FUTURE. THIS INCLUDES DIRECT COMPANY SPONSORSHIP, ENTRY OF GM AS THE IMMIGRATION EMPLOYER OF RECORD ON A GOVERNMENT FORM, AND ANY WORK AUTHORIZATION REQUIRING A WRITTEN SUBMISSION OR OTHER IMMIGRATION SUPPORT FROM THE COMPANY (e.g., H-1B, OPT, STEM OPT, CPT, TN, J-1, etc.)
#LI-JN1
]]>Work Arrangement: This role is categorized as hybrid on mid shift (3pm to 12am) . This means the successful candidate is expected to report to GM Philippines office three times per week or other frequency dictated by the business.
The Role
This will play a key role in a project to transform Controllership reporting and consolidation activities. The project will focus on realigning processes to best leverage team strengths to streamlining and standardizing processes. Role will collaborate with several teams across Controllership, GBS, and IT, and work involves a high level of collaboration, accuracy, creativity, and initiative. Role will serve as a supporting strategic Business Partner, bringing timely and insightful decisions to all strategic and tactical matters as they relate to SEC requirements, accounting, audit/SOX compliance and financial analyses, leveraging financial systems and processes that increase clarity, improve efficiency, shorten decision cycle times, and reinforce financial integrity and accountability.
What You’ll Do
Ability to explain with multiple teams processes.
Evaluate current accounting practices and policies and drive continuous improvement.
Partner with Controllership Modernization, GBS Transformation, IT, etc. to determine how to best leverage existing technology.
Identify and eliminate redundant and non-value-added work.
Identify and eliminate collective pain points and reduce number of handoffs in processes.
Bring creative solutions to the table to improve processes.
Partners with impacted teams to align the solution for process improvements.
With every proposal, maintain a strong control environment and high quality in reporting.
Identify, interpret and analyze potential accounting risks and issues.
Track and monitor the progress of projects and help resolve issues to bring them to completion.
Prepare presentation materials and present status to leadership, when applicable.
Work with a high level of independent judgement and initiative.
Your Skills & Abilities (Required Qualifications)
College degree with major in accounting or business administration or equivalent experience/ training
3+ years finance/accounting experience including combination of public/private
Strong interpersonal skills and demonstrated commitment to teamwork and partnerships
Demonstrated problem solving and analytical skills
Demonstrated project management skills, including ability to plan and prioritize multiple assignments within restricted time constraints
Strong oral and written communication skills
Willingness to work on mid shift (flexible to EST hours)
What Will Give You A Competitive Advantage (Preferred Qualifications)
Certification - Certified Public Accountant
Highly proficient personal computer skills and technology driven
Experience with Power BI, KNIME, and Microsoft SharePoint
Experience with SAP and Hyperion systems
Passion for innovation, automation, and technology
Willingness to work flexible schedules to accommodate various time zones
High level of independent judgment and initiative
Agile learner and adaptor
Strong communication, build effective working relationships with business partners
This role is categorized as onsite. This means the successful candidate is expected to report to GM Pontiac Engineering Center, Building C on a full-time basis.
At General Motors, we are committed to creating a world with Zero Crashes, Zero Emissions and Zero Congestion. Our Global Manufacturing Engineering team is pushing the boundaries of what is possible as we reimagine how the next generation of vehicles is built. From raw sheet metal to final assembly, our manufacturing engineers and operations teams are transforming our facilities through the adoption of innovative technologies that support GM’s all-electric future.
The Role
If you are interested in understanding the future of General Motors Propulsion products – engines, transmissions, and electric drive unit systems – GAIC (Global Artisan Innovation Center) GPS FMS (Flexible Machine Shop) Scheduling has a place for you! This role is a “cross-functional” team role. Assists Product Engineering, GAIC GPS Operations, Manufacturing and several organizations supporting the request of part fabrication/processing in the GAIC GPS FMS organization. Role requires the basic understanding of part movement through machine processing and will include miscellaneous support tasks. Work involves high degree of accuracy and ability to make decisions within the limits of general policies and procedures. Independent judgment is used with supervision available to handle unusual situations. (This role is on-site Daily)
What You'll Do
Manages schedule/priority of requests for FMS.
Frequent contact with stakeholders outside the work group.
Must be proactive to follow-up on supplied information, for clarification / missing inputs.
Required Qualifications
2+ years in the business environment (FMS, component manufacturing preferred).
High level of analytical ability, communication and interpersonal skills required to build relationships with team members and customers to solve problems and resolve issues.
Demonstrated ability to manage, multiple projects and assignments with a high level of autonomy and accountability for results.
Good focus on the main priorities / outputs to get assignments completed on time.
Ability to handle projects /people/ situations that are complex in nature.
Working knowledge of EMS and related processes.
Proficient in Excel, and other MS tools inclusive of Word and PowerPoint.
Preferred Qualifications
Bachelor’s degree in a business, engineering, or related field
Working knowledge of scheduling development tools such as PowerBi, CTMS, Sharepoint Creation, Power Automate Software, and Excel Macros.
Understanding of manufacturing processes (e.g., turning, milling, grinding, heat treatment, etc.)
Administrative support of Project Management (e.g., maintaining timelines, schedules, reporting, capacity charts, EMS, EVOS Schedule, etc.)
Responsibilities
Required Qualifications
Preferred Qualifications
The Role
General Motors is building the next generation of software-defined vehicles and advanced driver-assistance experiences. The success of these products depends on understanding how they perform in the real world, how customers experience them, and where product and engineering investment will create the greatest benefit.
As a Senior Data Scientist, Super Cruise (SC) and Assisted Driving and Active Safety (ADAS) Insights, you will be a hands-on technical and strategic partner to Product Management, Systems Engineering, Data Engineering, Safety, and Program teams. You will turn complex vehicle telemetry, retail-fleet data, engineering data, and customer-behavior signals into trusted metrics, actionable insights, and clear recommendations that shape product strategy and prioritization.
You will help product teams understand feature availability, usage, evaluate feature availability, utilization, safety performance, reliability, customer acceptance, and trust-related behaviors across Super Cruise, advanced autonomy products and ADAS products.
This is a senior individual-contributor role for someone who can independently frame ambiguous problems, develop rigorous analyses, influence decisions without formal authority, and establish analytical practices that scale across the organization.
What You’ll Do
Partner with Product Management to translate product questions into analyses that inform strategy, roadmaps, requirements, prioritization, investments, and launch decisions.
Define and maintain trusted KPI frameworks for AV, Super Cruise and ADAS, including metric definitions, assumptions, data lineage, limitations, baselines, thresholds, and appropriate use of engineering and retail-fleet data.
Evaluate product performance across availability, usage, effectiveness, customer value, and experience, identifying drivers, tradeoffs, risks, opportunities, regressions, and regional or population-level differences.
Build integrated datasets, models, dashboards, scorecards, recurring reports, and self-service tools that connect vehicle, driver, safety-event, trip, crash, and operating-context data to support ongoing monitoring and action.
Investigate unexpected trends and data-quality issues, partnering with engineering and data teams to address gaps in signals, triggers, decoding, sampling, instrumentation, and data availability.
Apply sound statistical and causal-inference methods to vehicle data, evaluations, feature rollouts, and constrained experiments, and communicate findings and recommendations effectively across technical teams, cross-functional forums, and senior leadership.
How You’ll Make an Impact
Product teams use a common, trusted view of performance rather than disconnected or conflicting analyses.
Retail-fleet data becomes a practical input to product strategy, release decisions, regional expansion, and engineering prioritization.
High-value customer and safety problems are quantified, ranked, and connected to specific product or engineering actions.
Product teams can distinguish true performance changes from changes in data coverage, instrumentation, fleet mix, software releases, or analytical definitions.
New metrics and data use cases are developed with appropriate privacy, access-control, regulatory, and data-retention considerations.
Decision-makers receive clear narratives that explain what changed, why it matters, what is uncertain, and what should happen next.
Your Skills & Abilities (Required Qualifications)
Bachelor’s degree in Data Science, Statistics, Mathematics, Computer Science, Engineering, Economics, or a related quantitative discipline, or equivalent practical experience. A master’s degree is preferred.
5 or more years of experience in data science, product analytics, applied statistics, or a closely related field.
Expert-level SQL skills and strong experience working with large, complex, evolving data environments.
Strong Python skills for data preparation, exploratory analysis, statistical analysis, visualization, automation, and reproducible analytical workflows.
Demonstrated experience defining metrics, validating datasets, identifying data-quality issues, and explaining analytical limitations.
Experience using observational data to evaluate product performance, customer behavior, feature adoption, reliability, safety, or operational outcomes.
Demonstrated ability to translate ambiguous product or business questions into rigorous analysis and actionable recommendations.
Experience influencing product roadmaps, prioritization, investment decisions, launch decisions, or requirements through data and analysis.
Strong written and verbal communication skills, including the ability to explain technical concepts and uncertainty to non-technical stakeholders.
Ability to operate with substantial autonomy, exercise sound judgment, and deliver results across multiple teams without direct reporting authority.
What Will Give You a Competitive Edge (Preferred Qualifications)
Experience working with automotive, connected-vehicle, ADAS, autonomous-driving, robotics, mobility, or other safety-critical products, including vehicle telemetry, sensor and fleet data, operational statistics, event recording, and driver-assistance systems such as Super Cruise.
Experience with Databricks, Spark, Azure, GCP, Power BI, Tableau, Looker, or comparable data and visualization platforms.
Experience with metric catalogs, data contracts, data governance, instrumentation strategy, data sampling, human labeling, or analytical quality standards.
Experience with causal inference, quasi-experimental methods, rollout analysis, survival or reliability analysis, hierarchical modeling, or other methods appropriate for real-world product data.
Experience working with privacy, legal, regulatory, or data-access constraints in the development of customer or vehicle-data use cases.
What Success Looks Like in the First 12 Months
Establish a trusted analytical partnership with SC Product Management and Systems Engineering.
Deliver a prioritized set of SC performance insights that directly informs roadmap or investment decisions.
Improve the definition, validation, or usability of key SC topline and trust-eroding-behavior metrics.
Establish repeatable release-over-release and retail-fleet performance analyses for agreed priority metrics.
Contribute analytical evidence to at least one launch, regional expansion, or major software-release decision.
Identify material gaps in data, instrumentation, sampling, or metric quality and drive practical resolutions with partner teams.
Create reusable analytical assets that reduce ad hoc work and improve product-team self-service.
Extend the approach to one or more Active Safety or Assisted Driving use cases.
Hybrid: This role is categorized as hybrid. This means the successful candidate is expected to report to the Sunnyvale, CA or Mountain View, CA office three times per week, at minimum.
Compensation: The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of the California Bay Area.
The salary range for this role is $106,600 to $192,700. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.
Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.
Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.
#LI-RF1
#GM-AV-1
Job Description
- Develop and document requirements required to design an automotive system
- Design and manage key strategic interfaces within systems to enable component reuse and consistency to standard methodologies
- Oversee requirements development with other activities
- Provide support to other specialists for root cause analysis
- Strong ability to expertly capture and analyze empirical data.
- Design Tests to efficiently find opportunities for design improvements
- Stay on top of industry trends, technologies, and standard methodologies.
- Identify and document system vulnerabilities and create mitigation action plans; track corrective actions
In pursuit of a world with Zero Crashes, Zero Emissions, and Zero Congestion, GM Global Manufacturing Engineering is transforming how we design and launch manufacturing systems for future propulsion products.
The Lead Manufacturing Engineer – Machining leads the development, execution, and launch of machining processes and equipment from concept through plant handover. This role ensures safety, quality, cost, timing, and manufacturing capability targets are achieved while delivering robust machining systems aligned with GM standards.
The position works cross-functionally with Product Engineering, Plant Engineering, Controls, Quality, Operations, OEMs, integration suppliers, and launch execution teams. The ideal candidate demonstrates creativity, initiative, sound judgment, and the ability to work independently in a fast-paced, team-oriented environment.
Perform safety reviews, Safety Observation Tours, and ergonomic assessments for new and modified machining processes.
Develop and maintain process flow diagrams, routings, and sequence-of-operations documentation.
Translate process requirements into Statements of Requirements for machine tools, fixtures, gaging, cutting tools, and automation.
Define error-proofing, nonconforming-product, backup, and process-control strategies.
Lead PFMEA and Control Plan development with cross-functional teams.
Support capability studies, type studies, error-proofing validation, and dimensional performance activities.
Lead machining scope from concept through installation, equipment run-off, launch, and plant handover.
Own crankshaft machining scope, while also supporting sustainment and capacity improvements for block and head machining.
Manage OEMs and suppliers through design, build, debug, and run-off activities.
Develop and maintain Launch Wall and Master Dot timing.
Ensure equipment meets throughput, quality, safety, ergonomic, and manufacturing capability requirements.
Forecast spending and manage Shopping Carts and invoicing.
Support asset-tracking activities, including Brass Tags, METLs, and SPS1Bs.
Provide regular program updates covering timing, risks, issues, and launch readiness.
Maintain the program issues list and drive timely closure.
Capture, share, and implement lessons learned across programs and sites.
Bachelor’s degree in Mechanical, Industrial, Manufacturing, Electrical Engineering, or a related field; equivalent experience may be considered.
At least seven years of manufacturing or manufacturing engineering experience.
Demonstrated ability to independently execute projects across block, head, and crankshaft machining.
Experience leading machining processing, execution, and launch activities, particularly crankshaft machining.
Strong understanding of crankshaft processes, equipment, OEMs, tooling, and gaging.
Experience launching crankshaft machining lines or cells.
Experience overseeing service engineers, junior engineers, and OEM partners.
Strong leadership, problem-solving, communication, and project execution skills.
Working knowledge of lean manufacturing and GM Manufacturing System principles.
Experience working with OEMs and integration suppliers.
Knowledge of PFMEA, Control Plans, GPDP, and GM Global Manufacturing Engineering standards.
Willingness to support off-shift, weekend, and holiday activities during installation and launch.
Function: Global Manufacturing Engineering
Location: Spring Hill Complex
Regular presence at the engine plant is required during installation, tryout, and launch.
Periodic domestic and international travel is required to support supplier visits, design reviews, run-offs, integration activities, and launches.
Support for first-, second-, and third-shift activities, including occasional weekends and holidays, may be required during implementation and launch.
Responsabilidades:
Armado de Libro diario
Armado Libro inventario y balances
Conciliaciones de cuentas
Asientos contables en el cierre
Requisitos:
Estudiante avanzado (+60%) de la carrera de CONTADOR PÚBLICO.
Office: Nivel intermedio.
Inglés: Nivel intermedio.
Disponibilidad para trabajar de forma híbrida en nuestro Complejo Automotor Chevrolet ubicado en Alvear, Santa Fé, Argentina.
Horario: Part Time (20 horas semanales) en turno mañana o turno tarde.
Conocimientos deseables:
Idioma Portugués.
Herramientas de automatización: Power BI / Knime
Every day, our products move millions of people as we aim to make driving safer, smarter, and more connected, shaping the future of transportation on a global scale.
The Role
The Engineering Group Manager – GA Flawless Launch is responsible for leading a team of engineers focused on the successful execution of manufacturing engineering projects. This includes overseeing all aspects of project implementation, from initial processing, design and development to final production launch at the assembly site.
The Group Manager will work closely with cross-functional teams, including strategic suppliers, operations, quality, and supply chain to ensure projects are delivered on time, within budget, and to the highest quality standards. This individual will be involved with setting the direction for the future of our manufacturing process. This position takes on a high level of independent decision making and communication as the lead GA ME onsite during project installation and startup.
In addition to launch execution leadership, this role also supports key General Assembly integration needs, including alignment to BOE strategies and standards, brownfield integration studies, future program planning, and plant-facing execution requirements that enable scalable GA automation solutions.
Work Arrangement
Onsite — this position requires the employee to be onsite five days a week. Primary work location will be the General Motors Global Technical Center in Warren, MI. This position has the potential to require domestic travel of up to 50–75%.
What You Will Do
Lead and mentor a team of engineers, providing guidance, training, and performance feedback.
Develop and implement project plans, investment required, timelines, and budgets.
Monitor project progress, identify and resolve roadblocks, and mitigate risks.
Ensure adherence to engineering standards, best practices, bill of process, bill of equipment, safety, and regulatory requirements.
Collaborate with cross-functional teams to ensure smooth project execution and successful product launches.
Drive continuous improvement initiatives within Manufacturing Engineering, Strategic Suppliers, and Product Engineering.
Develop and maintain strong relationships with internal and external stakeholders.
Maintain and meet project budgets/forecasts and drive cost reduction initiatives.
Stay abreast of industry trends and emerging technologies in manufacturing engineering.
Support GA integration planning activities such as BOE alignment, by-site migration and turn planning, and execution readiness for plant implementation.
Required Qualifications
7+ years of experience in a manufacturing engineering role, demonstrating expertise in engineering practices and processes.
3+ years of experience in a supervisory or management capacity, showcasing the ability to lead teams effectively and drive results.
Proven track record of successfully delivering projects within a manufacturing environment, including equipment installation and construction, highlighting your capability to manage complex initiatives.
Strong proficiency in project management methodologies, such as Agile and Six Sigma, ensuring efficient project execution and continuous improvement.
Experience with processing equipment, throughput, and comprehensive understanding of manufacturing processes, enabling effective design and production.
In-depth knowledge of lean manufacturing principles and continuous improvement methodologies, fostering operational efficiency and waste reduction.
Strong understanding of safety regulations and procedures, ensuring a safe working environment for all team members.
Bachelor’s degree or equivalent experience.
Preferred Qualifications
Experience in a high-volume manufacturing environment, demonstrating the ability to thrive in fast-paced settings.
Experience with reliability and maintainability of processing equipment, standalone availability, and throughput.
Familiarity with robotics and automation technologies, contributing to innovative manufacturing solutions.
Experience with data analysis and statistical process control, enabling informed decision-making and process optimization.
Experience with GA BOE integration, brownfield implementation studies, plant execution planning, read-across development, or GA standards work.
Master’s degree in engineering.
Field Work Arrangement: This is a field-based position that requires up to 75% travel to dealerships within the assigned territory on a recurring basis. The selected candidate must currently reside within the territory or be willing to relocate to Johnstown / Harrisburg, PA or a surrounding area approved by leadership within 60 days of the start date.
The Role
Help shape the future of two iconic brands as they continue to evolve through innovation, premium experiences, and advanced mobility solutions. As a District Sales Manager, you'll partner directly with dealerships to drive business performance, launch new technologies and vehicles, and deliver exceptional customer experiences across the Buick and GMC portfolio. This fast-paced, relationship-driven role offers the opportunity to influence outcomes, solve complex business challenges, and play a key role in the future of automotive retail.
What You’ll Do
Act as a liaison between GM, its dealerships, and additional GM Partners
Grow and foster partnerships
Facilitate mentorship and consulting to ensure monthly/yearly sales objectives are met
Track dealership Customer Satisfaction Index (CSI) or other customer feedback resources to identify and address deficiencies or opportunities
Assist in product launches to ensure streamlined marketing and advertising between dealer, independent aftermarket (IAM) and GM
Monitor Dealership personnel training and ensure compliance with GM requirements/objectives
Assist with Dealership inventory management, including vehicle and or parts ordering and inventory stabilizing
Analyze Dealer sales, local market, and competition to identify revenue opportunities
Increase sales of GM vehicles and Accessory parts to its customers
Assist in customer problem resolution
Travel to your dealers in your designated region
Your Skills & Abilities (Required Qualifications)
Bachelor’s degree in a related field or demonstrated equivalent professional experience
2+ years' experience in Sales, Marketing, or related fields with a proven track record of driving revenue growth
Proficiency in Microsoft Excel, including data analysis, reporting, and visualization tools
Ability to travel up to 75% to different locations within your territory
Must possess and maintain the ability to legally operate a motor vehicle in accordance with the licensing requirements of the states in which work is performed
What Can Give You a Competitive Advantage (Preferred Qualifications)
Drives results and leads change with confidence and clarity
Builds and maintains strong internal and external relationships
Demonstrates strategic business planning capabilities to align dealership goals with broader organizational objectives
Maintains a strong customer focus and resolves conflicts effectively
Demonstrates strong problem-solving skills by identifying root causes, developing actionable solutions, and implementing improvements that enhance dealership performance and customer satisfaction
Applies analytical thinking to solve complex problems and make data-informed decisions
Leverage data analytics tools to extract actionable insights that drive revenue growth, optimize operational performance, and elevate the customer experience
Excellent oral and written communication skills, with the ability to inform and persuade effectively
Communicates persuasively and informatively across all levels
Maintains a results-driven mindset, consistently pursuing excellence and accountability
The ability to manage multiple tasks, adapt and thrive in a changing environment where there is a degree of ambiguity
Takes initiative and thrives in dynamic environments
Openness to relocate across districts and markets to broaden business knowledge, gain diverse experiences, and support organizational needs
The selected candidate will assume territorial responsibility in Johnstown/Harrisburg, PA.
]]>Preferred Experience Includes:
Experience with planned maintenance systems and predictive technologies
Experience with industrial robotics, automation, and conveyance systems
Primary Responsibilities:
Follow established safety procedures according to OSHA standards and company procedures
Maintain, dismantle, repair, and replace mechanical and hydraulic components (e. g. bearings, seals, details, carriers, etc.) on industrial machinery such as shafting, motors, generators, air compressors, engines, pumps, cylinders, gears, couplings, linkages, ball screws, high speed CNC spindles, coolant systems and filters, and combustion equipment and valves
Layout, assemble, fabricate, maintain, and repair piping systems
Use various hand or power tools for measuring, cutting, threading, grooving, bending, soldering, assembling, joining, and installing pipes, valves, and fittings
Read and interpret blueprints for the mechanical operation and assembly of conveyor systems, material handling systems, robots, and other automation
Operate mobile equipment (e.g. forklifts, vertical lifts, cranes)
Determine loading requirements to rig equipment and material for lifting
Set up and operate conventional or computer numerically controlled (CNC) machine tools such as lathes, milling machines, and grinders to cut, bore, grind, or otherwise shape parts to prescribed dimensions and finishes
Fabricate punches, tools, steel rule tools and t-sets to exact specifications
Plan sequences of operations for fabricating tools or assemblies using blueprints, sketches, or models
Determine quality of finished products, ensuring defect-free parts, by verifying dimensions, alignment, and clearances for conformance to specifications using measuring instruments such as calipers, gauge blocks, micrometers, and dial indicators
Interested individuals must meet the following minimum qualifications:
At least six (6) years of related experience as a Machine Repair or a U.S. Department of Labor Certificate of Completion in the Machine Repair trade
Must be able to satisfactorily complete the General Motors hiring process requirements which includes comprehensive assessments, drug testing, and a background check
At least 18 years of age
Eligible to work in the United States
Must be willing to work flexible shift hours and day, afternoon, or night shift as well as overtime hours daily, weekends and holidays on those shifts with little notice
GM DOES NOT PROVIDE IMMIGRATION-RELATED SPONSORSHIP FOR THIS ROLE. DO NOT APPLY FOR THIS ROLE IF YOU NEED OR WILL NEED GM IMMIGRATION SPONSORSHIP TO WORK OR TO REMAIN EMPLOYED AT GM (e.g., H-1B, TN, STEM OPT, etc.).
If you are a current GM employee operating under a collective bargaining agreement, please contact your local HR/LR for employee placement opportunities.
This position may be filled with a Journeyperson or Journeyperson In Training, the compensation ranges for a JIT include ($37.77 - 44.06) or Journeyperson rate of ($44.96). Certificates/credentials and scoring in interview will determine your status and pay.
Physical Requirements:
Quick response to safety instructions, alarms, and signals are a must
Ability to work and stand for extended periods
Comfortably wear personal protective equipment
Navigate a busy environment
Bend, twist, kneel, crouch, and reach
May need to lift or carry materials weighing up to 50 lbs. depending on department
Occasional sitting during certain tasks
Drive mobile equipment when needed
General Motors UAW hourly employment offers a very competitive compensation and benefit package. An annual incentive payout is also available, as qualified.
Relocation and travel expenses will be the responsibility of the applicant.
Please note – per the labor agreement between GM and the UAW, GM may share information and documentation relating to the credentials of applicants for this position (e.g., resumes, journeyperson cards, interview notes, certificates, etc.) with UAW personnel who have a need to know as part of their role on the UAW skilled trades team.
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AI Disclosure:
As part of the application process, Artificial Intelligence will be used in the hiring process for this role.
Work Arrangement:
This role is categorized as Onsite. This means the successful candidate is expected to report to Oshawa Assembly Plant five times per week at minimum, or other frequency dictated by the business.
About GM:
At General Motors we pride ourselves on designing, building and selling the world's best vehicles. We are seeking a new generation of visionaries to help launch bold engineering and business initiatives, and shape new directions for General Motors. As a co-op student through our EXCEL (Exploring Careers through Experiential Learning) Program, you will gain hands-on career specific experiences to maximize your real-world potential.
The Role:
As the Maintenance Group Leader, you are responsible for operations, maintenance, and repair of plant equipment! You may lead all aspects of a medium size group of employees in a skilled area of work which requires making decisions based on established procedure. Also, work is of a technical nature using independent judgment within the limits of the Global Manufacturing System (GMS); focusing on Safety, People, Quality, Responsiveness, Cost, and Environment (SPQRCE)!
Several departments currently have openings for a Maintenance Group Leader, including General Assembly, Body and Paint.
Key Responsibilities:
You will conduct appropriate checks and tests, and communicate evaluation of results
Recommendations for solutions to problems
Responsible for preventative maintenance, and diagnosis of equipment malfunctions
Meets schedule and quality requirements
Aligns with the terms of local and national labour agreements
Implements divisional and corporate policies, and safety and good housekeeping practices
Maintain frequent contact and collaboration with others outside of the work group
Responsible for the effective use of personnel, material, and equipment
Establishes a course of action to accomplish completion of the job and/or project, and the knowledge and ability to implement GMS principles
Additional Responsibilities:
Develop a proactive safety culture by engaging team members and peers in our safety processes
Understood and effective use of GMS
Complete safety incident investigations, and develop permanent corrective action
Provide Leadership to Skilled Trades, and provide supervision and direction to contractors when required
Manage Equipment issues and Equipment Breakdowns, and develop permanent corrective action
Develop improvements to standard tasks using SOP’s, STS’s, Maximo, and Task Instruction Sheets
Lead/Participate in continuous improvement events
Actively support Departmental meetings (Safety, TIP, Quality, etc)
Support Production department in organizational change events
Handle staffing levels for your Group
Create new PMs, Maintenance PM process and PM scrubbing
New employee orientation
Required Qualifications:
Pursuit of a Bachelor's Degree in one of the following areas, Engineering (Computer, Mechatronics, Mechanical, Electrical, Manufacturing, Automotive Engineering, Chemical, Software Engineering, or equivalent) or Computer Science
Eligible to work full-time (40 hours per week) in Canada and for 8, 12, or 16 month term (consecutive semesters) starting January 2027
Willing to work in a plant environment and flexible hours (shift work, weekends, and overtime) to meet business needs
Preferred Qualifications:
Prior manufacturing experience, knowledge of production environments, and in automotive industry are considered assets
Previous supervisory, or team leading experience
Desired Skills:
Outstanding leadership, interpersonal, and relationship management skills with the ability to effectively collaborate with varying levels of the organization
Excellent written and verbal communication skills with the ability to distill complex subjects to a wider audience
High level of integrity, ability to deal with ambiguity, takes initiative/self-directed
Evidence of strong character with integrity, honesty, accountability and trust
Consistently demonstrates innovative thinking that is customer-centric
Excellent project management skills and the proven ability to manage numerous projects at any given
Possess strong organizational, problem-solving, and analytical skills
Fundamental digital literacy including understanding of MS Word, Excel, Access, and PowerPoint
The salary range for this role is $4264- $4784 CAD. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.
THIS JOB IS NOT ELIGIBLE FOR RELOCATIONS BENEFITS. ANY RELOCATION COSTS WOULD BE THE RESPONSIBILITY OF THE SELECTED CANDIDATE.
GM DOES NOT PROVIDE IMMIGRATION-RELATED SPONSORSHIP FOR THIS ROLE. DO NOT APPLY FOR THIS ROLE IF YOU WILL NEED GM IMMIGRATION SPONSORSHIP NOW OR IN THE FUTURE
NOTE - YOU MUST BE ENROLLED IN A CO-OP PROGRAM AND MEET THE PROGRAM’S ELIGIBILITY REQUIREMENTS. ALL STUDENTS MUST ALSO BE LEGALLY ENTITLED TO WORK IN CANADA.
Accommodation is available for applicants with disabilities. Should you be contacted by General Motors of Canada Company, please advise if you require accommodation.
For more information about GM Canada, visit our website at www.gm.ca/careers
General Motors of Canada values diversity and is an equal opportunity employer.
This posting is not for an existing vacancy within the organization and is open to new applications. (New Head Count)
AI Disclosure:
As part of the application process, Artificial Intelligence will be used in the hiring process for this role.
Work Arrangement:
Hybrid: This role is categorized as hybrid. This means the successful candidate is expected to report to Markham Elevation Centre (MEC) and/or Oshawa Elevation Centre (OEC) three times per week at minimum, or other frequency dictated by the business.
About GM:
At General Motors we pride ourselves on designing, building and selling the world's best vehicles. We are seeking a new generation of visionaries to help launch bold engineering and business initiatives, and shape new directions for General Motors. As an intern or co-op student through our EXCEL (Exploring Careers through Experiential Learning) Program you will gain hands-on career specific experiences to maximize your real-world potential.
The Role:
The Body Controls Calibration and System Testing Team is rapidly growing and is being transformed due to the adoption of software defined architecture. In Body electronics system test space, we calibrate and validate different customer facing features in functional areas like Exterior and Interior Lighting, Vehicle Access, occupant Protection, Cabin Comfort, etc. This role provides an excellent opportunity to gain hands on experience in future technologies GM is introducing in Body Electronics/Mechatronics space.
What you will gain from this experience:
Troubleshoot and resolve anomalies, driving continuous improvement in system robustness.
Learn from decades of combined embedded development expertise in a highly collaborative environment.
Interact with and work on the future of automotive technology
Required Qualifications:
Currently pursuing a Bachelors Degree in Computer Engineering, Computer Science, Software Engineering, Mechatronics, Robotics, Electrical, Mechanical Engineering or a related field.
Eligible to work full-time hours, 40 hours a week for a term of 12- 16 months (consecutive semesters) starting January 2027
Preferred Qualifications:
Proficiency in Embedded C and Python
Candidate demonstrates a high degree of ownership and initiative for their work, and strong collaboration and teamwork skills.
Excellent communication and collaboration skills
Knowledge of GitHub, Jenkins, GitHub Actions, Jira
Knowledge of embedded software development using C/Matlab/Simulink
Valid Ontario G Driver License
AutoDrive, EcoCAR, or other Automotive related experience/clubs.
NOTE- YOU MUST BE ENROLLED IN A CO-OP PROGRAM AND MEET THE PROGRAM’S ELIGIBILITY REQUIREMENTS. ALL STUDENTS MUST ALSO BE LEGALLY ENTITLED TO WORK IN CANADA.
The monthly salary range for this role is $4,264.00 to $4784.00. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.
Sponsorship : PLEASE ONLY APPLY IF YOU DO NOT NEED SPONSORSHIP TO WORK IN CANADA NOW OR IN THE FUTURE. WE ARE UNABLE TO CONSIDER CANDIDATES WHO REQUIRE SPONSORSHIP
THIS JOB IS NOT ELIGIBLE FOR RELOCATIONS BENEFITS. ANY RELOCATION COSTS WOULD BE THE RESPONSIBILITY OF THE SELECTED CANDIDATE.
Accommodation is available for applicants with disabilities. Should you be contacted by General Motors of Canada Company, please advise if you require accommodation.
For more information about GM Canada, visit our website at www.gm.ca/careers
General Motors of Canada values diversity and is an equal opportunity employer
Your Skills & Abilities (Required Qualifications)
What Can Give You a Competitive Edge (Preferred Qualifications)
What you’ll be doing (Responsibilities)
Y our Skills & Abilities (Required Qualifications)
What Will Give You A Competitive Edge (Preferred Qualifications)
Compensation: The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of New York, Colorado, California, or Washington.
The Role
General Motors has a need for qualified Mechanical Journeypersons (Pipefitter). You will work under minimal supervision with a high level of independent judgement and problem solving. You should be flexible enough to take on and tackle multiple job assignments in a shift.
Preferred Experience Includes:
Experience with planned maintenance systems and predictive technologies
Experience with industrial robotics, automation, and conveyance systems
Primary Responsibilities:
Follow established safety procedures according to OSHA standards and company procedures
Maintain, dismantle, repair, and replace mechanical and hydraulic components (e. g. bearings, seals, details, carriers, etc.) on industrial machinery such as shafting, motors, generators, air compressors, engines, pumps, cylinders, gears, couplings, linkages, ball screws, high speed CNC spindles, coolant systems and filters, and combustion equipment and valves
Layout, assemble, fabricate, maintain, and repair piping systems
Use various hand or power tools for measuring, cutting, threading, grooving, bending, soldering, assembling, joining, and installing pipes, valves, and fittings
Read and interpret blueprints for the mechanical operation and assembly of conveyor systems, material handling systems, robots, and other automation
Operate mobile equipment (e.g. forklifts, vertical lifts, cranes)
Determine loading requirements to rig equipment and material for lifting
Set up and operate conventional or computer numerically controlled (CNC) machine tools such as lathes, milling machines, and grinders to cut, bore, grind, or otherwise shape parts to prescribed dimensions and finishes
Fabricate punches, tools, steel rule tools and t-sets to exact specifications
Plan sequences of operations for fabricating tools or assemblies using blueprints, sketches, or models
Determine quality of finished products, ensuring defect-free parts, by verifying dimensions, alignment, and clearances for conformance to specifications using measuring instruments such as calipers, gauge blocks, micrometers, and dial indicators
Interested individuals must meet the following minimum qualifications:
Physical Requirements
General Motors UAW hourly employment offers a very competitive compensation and benefit package. An annual incentive payout is also available, as qualified.
Relocation and travel expenses will be the responsibility of the applicant.
Please note – per the labor agreement between GM and the UAW, GM may share information and documentation relating to the credentials of applicants for this position (e.g., resumes, journeyperson cards, interview notes, certificates, etc.) with UAW personnel who have a need to know as part of their role on the UAW skilled trades team.
General Motors is at the forefront of the transformation of automotive with the electrification of our portfolio and the development of leading-edge central compute, connectivity, and autonomous capabilities.
Our Semiconductor Engineering team is a dynamic, high‑energy, and innovative group focused on design and commercialization of leading‑edge silicon enabling the future of GM’s Software Defined Vehicle (SDV) platforms – central compute units, connectivity modules, and other controllers.
The Role:
We are seeking a highly skilled and driven Senior Hardware Test Engineer to join our Semiconductor Center of Excellence. This pivotal role will lead the definition, development, and execution of hardware test strategies for state‑of‑the‑art System‑on‑Chip (SoC) solutions used in next‑generation automotive electronics platforms.
You will be responsible for SoC and SoC‑centric ECU board bring‑up, test plan creation, automated test development, and systematic debug to ensure our silicon and hardware platforms meet functional, performance, and reliability goals from early samples through production.
What You'll Do (Responsibilities):
Your Skills & Abilities (Required Qualifications):
People Skills:
What Will Give You a Competitive Edge (Preferred Qualifications):
#LI-DH2
]]>Virtual Propulsion Analysis Engineer for GM Defense is responsible for applying advanced analysis and simulation tools to support propulsion system architecture development, with emphasis on optimizing energy consumption (EV range/fuel economy) and performance. Partner with cross‑functional engineering teams to design, evaluate, and refine propulsion concepts that meet or exceed customer expectations and program requirements.
What You'll Do
Your Skills & Abilities (Required Qualifications)
What Will Give You A Competitive Edge (Preferred Qualifications)
#GMD
]]> Who We Are
The CAE, CAT, Battery, Materials & Validation team delivers next-generation IT software and systems solutions that support Vehicle Test Lab operations, physical validations, and proving ground activities. These capabilities enable the engineering, validation, and testing of products to meet engineering requirements, ensure compliance and certification, and fulfill government mandates.
We are seeking an experienced Senior System Engineer to join our dynamic team. In this role, you will provide technical leadership for the architecture, integration, modernization, deployment, and operational health of enterprise systems that support engineering and validation workflows. You will work across application, infrastructure, cloud, data, security, and operations disciplines to deliver reliable, scalable, and maintainable technology solutions.
The Role
The position is responsible for designing, integrating, deploying, and continuously improving production systems using repeatable industry best practices and in accordance with GM’s software development, cybersecurity, and operational methodologies. The Senior System Engineer will work hands-on across the system lifecycle, translating business and engineering needs into system requirements, architectures, infrastructure designs, implementation plans, and operational standards.
This role requires independent judgment to solve complex, non-standard problems across multiple technology domains. System engineering activities will include assessing existing platforms, designing new capabilities, modernizing legacy applications and infrastructure, migrating workloads to cloud-based environments, and improving system reliability, security, performance, scalability, and cost efficiency.
The Senior System Engineer will contribute to and lead activities including system architecture, integration, automation, infrastructure as code, software transformation, testing, security assessment, observability, production readiness, incident response, documentation, and deployment. The role will also serve as a technical resource and mentor for engineers and will influence system standards, roadmaps, and engineering practices across partner teams.
What You’ll Do
Your Skills & Abilities (Required Qualifications)
People Skills:
#LI-CK1
Gm does not provide immigration-related sponsorship for this role. Do not apply for this role if you will need gm immigration sponsorship (e.g., H-1B, TN, STEM, OPT, etc.) Now or in the future.
]]>The Simulation organization is solving one of the most challenging problems in autonomous driving: rigorously evaluating the performance, safety, and limitations of the autonomous driving software stack before it reaches public roads.
As a Principal Software Engineer on the Simulation Engine team, you will define the technical direction for the simulation platforms that enable high-fidelity, high-performance validation of the autonomy stack and the gym environments used to train reinforcement learning models. You will operate at the intersection of autonomous driving, simulation, machine learning, infrastructure, and developer productivity, shaping capabilities that influence the broader engineering organization.
This role is for a recognized technical leader who can turn ambiguous, high-impact problems into durable platform strategy and measurable engineering outcomes. You will establish architectural direction, align senior leaders across organizations, raise engineering standards, and create leverage for teams building, training, testing, and validating autonomous driving systems.
Define and champion the long-term technical vision, architecture, and strategic roadmap for simulation, validation, and reinforcement learning infrastructure.
Establish architectural principles and platform strategies that enable scalable, high-fidelity, deterministic, and performant simulation across the autonomy organization.
Identify the most consequential technical opportunities and systemic risks across simulation workflows, translating them into prioritized investments and clear execution plans.
Lead the resolution of complex, cross-organizational technical problems that span autonomy software, machine learning, validation, infrastructure, data, and developer tooling.
Set direction for core simulation abstractions, APIs, execution models, scenario and sensor modeling, quality standards, and integration patterns.
Drive adoption of common platforms and engineering practices across teams, reducing fragmentation and increasing development and validation velocity.
Influence investment decisions, technical priorities, and organizational alignment through clear written proposals, architecture reviews, and executive-level communication.
Sponsor and guide high-impact initiatives from strategy and problem definition through delivery, adoption, operational maturity, and continuous improvement.
Define measurable standards for fidelity, performance, reliability, determinism, scalability, and developer experience, and use them to drive sustained improvement.
Serve as a senior technical advisor and multiplier for engineering leaders and teams, mentoring principal, staff, and senior engineers through technical direction and sponsorship.
Represent the organization’s technical perspective in broader company forums and, when appropriate, in the external autonomous driving and simulation communities.
Bachelor’s, master’s, or doctoral degree in Computer Science, Robotics, Machine Learning, or a related field, or equivalent professional experience.
12+ years of relevant software engineering experience, including significant ownership of complex, production-quality platforms or systems.
Expert programming ability in modern C++ and Python, with deep expertise in object-oriented design, software architecture, and systems engineering.
Demonstrated record of defining technical strategy and delivering transformational, cross-functional initiatives with broad organizational impact.
Experience serving as an architectural authority across multiple teams, products, or engineering organizations.
Track record of influencing senior technical and business leaders and aligning organizations around difficult tradeoffs and long-term investments.
Strong customer orientation, with experience converting developer, researcher, or validation needs into widely adopted platform capabilities.
Demonstrated ability to improve engineering quality, velocity, reliability, or operational effectiveness at organizational scale.
Exceptional written and verbal communication skills, including the ability to make complex technical topics clear to diverse audiences.
Passion for safe, fully electric, self-driving technology and its potential impact on the world.
Deep experience building, extending, or operating autonomous vehicle or robotics simulation platforms.
Experience with game engines or physics platforms such as Unity, Unreal Engine, or PhysX.
Experience designing reinforcement learning environments, training infrastructure, or simulation-based machine learning systems.
Compensation
The salary range for this role is $296,300 and $453,900. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.
Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.
Benefits
GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.
Company Vehicle
Upon successful completion of a motor vehicle report review, you will be eligible to participate in a company vehicle evaluation program, through which you will be assigned a General Motors vehicle to drive and evaluate. Note: program participants are required to purchase/lease a qualifying GM vehicle every four years unless one of a limited number of exceptions applies.”
GM Defense delivers integrated vehicles, power and propulsion, and autonomy and connectivity solutions for global defense, security, and government customers. By leveraging GM’s advanced commercial vehicle platforms, engineering expertise, and large-scale manufacturing, GM Defense rapidly adapts proven technologies into military-grade, mission-ready solutions that help customers improve mobility, readiness, and sustainment while managing cost and complexity.
System engineering is a multidisciplinary organization chartered with pulling together the highly complex and interconnected system that is the modern-day vehicle and related products. It transcends the physical nature of any specific design, cutting across traditional engineering disciplines to enable customer-focused execution of vehicle-level features.
The Lead System Engineer is a people leader and technical expert role responsible for leading Systems Engineers in the definition and roll-down of system requirements, alignment of subsystem interfaces, and execution of verification planning to ensure the total product meets mission and program objectives. In this role, the Lead System Engineer provides system-level technical leadership across the product, integrating engineering inputs into a cohesive requirements-driven solution while ensuring safety, performance, timing, cost, and manufacturability targets are supported. Requirements and engineering inputs for this role may come directly from the customer as well as indirectly through the GMD business development team. AI-enabled tools are expected to be used in the development, refinement, and management of requirements, and the role is responsible for building team capability through required AI training and adoption of effective engineering practices.
What You’ll Do
Lead a team of Systems Engineers in development, decomposition, and roll-down of system requirements across the product
Ensure subsystem requirements, interfaces, and verification plans are aligned to overall mission and program objectives
Drive system-level integration across engineering disciplines to deliver a cohesive and executable product definition
Lead cross-functional collaboration to ensure requirements support safety, performance, cost, timing, manufacturability, and validation objectives
Oversee interface definition, requirements traceability, and verification planning across systems and subsystems
Create System DFMEA and ensure system failure modes are understood, documented, and addressed through the design process
Participate in Fault Tree Analysis and support development of the technical understanding needed to identify risk drivers and mitigation paths
Collaborate on the V&V plan across mechanical, electrical, and controls domains to ensure the system is validated against requirements and intended performance
Lead the integration and issue resolution of the system through the full development cycle
Work with subsystem and component teams to optimize system design and improve total system performance
Set availability targets, allocate them to subsystems and components, determine feature sensitivity to variation and failure modes, and define mitigation plans to improve performance to target
Stay abreast of new technology, new processes, and new methods used to predict and improve availability
Apply AI-enabled tools to improve the quality, speed, consistency, and traceability of requirements development
Ensure the team receives required AI training and adopts AI tools and methods effectively within the systems engineering process
Identify technical and integration risks early and lead resolution of cross-system issues that could impact program execution
Support development of a scalable system architecture and requirements framework that can be successfully executed through development and launch
Your Skills & Abilities (Required Qualifications)
BSE, BS in Mechanical Engineering, Electrical Engineering, Systems Engineering, or equivalent experience
10+ years professional experience in systems engineering, requirements development, product integration, or equivalent technical roles
5+ years of systems engineering experience within the defense industry, supporting the development, integration, and verification of complex defense systems
Demonstrates effective interpersonal and communication skills to collaborate successfully with cross-functional teams, customers, and business development partners
Strong understanding of engineering theory and principles of operation of mechanical, electrical, controls, and integrated vehicle systems
Proven ability to lead multidisciplinary teams in requirements development, interface alignment, integration, and technical issue resolution
Demonstrated ability to develop and execute System DFMEA, participate in Fault Tree Analysis, and collaborate on verification and validation planning
Strong analytical ability to translate customer and product objectives into executable system requirements, availability targets, and mitigation plans
Demonstrated technical and professional skills in systems engineering, including requirements management, traceability, risk identification, and cross-functional decision-making
Ability to apply AI-enabled tools and methods to improve requirements quality, speed, consistency, and traceability while building team capability through effective adoption practices
Candidate must be a U.S. Person (U.S. citizen, U.S. permanent resident, asylee or refugee).
Company Vehicle : Upon successful completion of a motor vehicle report review, you will be eligible to participate in a company vehicle evaluation program, through which you will be assigned a General Motors vehicle to drive and evaluate. Note: program participants are required to purchase/lease a qualifying GM vehicle every four years unless one of a limited number of exceptions applies.
#GMD
]]>At GM, we are committed to safety in everything we do. As a Global Workplace Safety Intern, you are dedicated to this aspect of our culture daily. Your work could directly affect the safety standards of the plant. You would have the opportunity to implement and coordinate projects on a global scale with a hands-on approach.
What You’ll Do:
Provide technical ergonomics support within the GM Global Workplace Safety organization.
Assist with the completion of innovation and global strategic projects/initiatives to continuously improve ergonomics processes, analysis tools and advance GM technical knowledge in key areas.
Learn to use and apply GM’s ergonomic assessments and digital human modeling (Process Simulate Human) and Virtual Reality tools to complete math based ergonomic analyses.
This position requires the need to assimilate data from many sources and apply both practical and technical problem-solving techniques. Decisions are to be made within the limits of general practices, policies, and procedures.
Support the Workplace Ergonomics team with the development and deployment of ergonomic initiatives, communication packages, and/or pilot activities.
As required, support Ergonomic technical specialists completing proof of concept projects on new technology, processes, and/or risk analysis tools.
Required Qualifications:
Pursuit of a Bachelor’s or master's degree in human kinetics, Kinesiology, Environmental Health & Safety, Industrial Engineering or Mechanical Engineering with course work in ergonomics or related ergonomics degree
Must be graduating between December 2027 and May 2030
Able to work fulltime, 40 hours per week
Ability to travel
Preferred Qualifications:
Demonstrated manufacturing/industrial internships and projects
Knowledge of ergonomic assessment tools (e.g. Revised NIOSH Lift Equation, Liberty Mutual Manual Materials Handling Equations etc.)
Knowledge of Digital Human Modeling software (e.g. Process Simulate Human, 3D Static Strength Prediction Program, etc.)
Project management skills and the proven ability to manage multiple projects
Emerging partnership and collaboration skills and ability to learn from and share knowledge with co-workers in a fast-paced environment
Evidence of integrity, ability to deal with ambiguity, take initiative/self-directed
Consistently demonstrates innovative thinking that is customer-centric
High level of interpersonal, oral and written communication skills
High level of analytical ability and problem-solving skills
Demonstrated ability to work well with multiple customers at the same time
GM does not provide immigration-related sponsorship for this role. Do not apply for this role if you will need GM immigration sponsorship now or in the future. This includes direct company sponsorship, entry of GM as the immigration employer of record on a government form, and any work authorization requiring a written submission or other immigration support from the company (e.g., H1-B, OPT, STEM OPT, CPT, TN, J-1, etc.)
Work Arrangement:
Onsite: This role is categorized as onsite. This means the successful candidate is expected to report to their assigned work location on a full-time basis.
GM will provide a one-time lump sum taxable stipend payment to eligible students selected for the 2027 Student Program - to help facilitate administration of relocation benefits, please apply using the permanent address you would move from.
Start dates for this internship role are May 24th & June 14th of 2027.
]]>The Role:
Be the driving force behind one of America's most recognized automotive brands. As a Chevrolet District Sales Manager, you'll partner directly with dealers to grow sales, launch innovative products, and influence business performance across a diverse portfolio ranging from trucks and SUVs to EVs. This is an opportunity to make a measurable impact while building relationships and leading from the front.
As a District Sales Manager, you'll help lead the transformation of the automotive industry by connecting dealers with the products, technologies, and strategies shaping the future of mobility. You'll work side-by-side with dealer partners to deliver business results, accelerate EV adoption, enhance customer experiences, and bring innovative solutions to market. If you're energized by change, passionate about people, and motivated by making a measurable impact, this role offers a front-row seat to the future.
What You’ll Do
Serve as the primary liaison between GM, dealerships, and key business partners, building strategic relationships that drive performance, growth, and alignment with business objectives.
Provide consultative coaching and mentorship to dealership leadership and staff to improve operational performance and achieve monthly, quarterly, and annual sales goals.
Analyze dealership performance, sales trends, market conditions, competitive activity, and customer satisfaction metrics to identify opportunities and implement corrective actions that drive business results.
Support the successful launch of new products, programs, and initiatives by coordinating sales, marketing, and communication efforts between dealerships, the independent aftermarket (IAM), and GM stakeholders.
Partner with dealerships to optimize vehicle and parts inventory management through forecasting, ordering, allocation, and inventory stabilization strategies.
Become a subject matter expert in the GM allocation system (Consensus) and vehicle ordering system to offer coaching to the dealers to ensure optimal inventory ordering.
Track dealership commitments and action plans, provide follow-up support, and ensure timely completion of agreed-upon activities.
Drive adoption and sales of GM vehicles, accessories, products, and services by identifying growth opportunities and executing territory-specific business plans.
Resolve customer and dealership concerns by collaborating with cross-functional stakeholders to deliver effective and timely solutions.
Monitor dealership training participation and compliance with GM standards, identifying opportunities to enhance capability, knowledge, and performance.
Travel throughout the assigned territory to assess dealership operations, provide consultative support, and ensure execution of GM programs, initiatives, and performance expectations.
Your Skills & Abilities (Required Qualifications)
Bachelor’s degree in a related field or demonstrated equivalent professional experience
2+ years' experience in Sales, Marketing, or related fields with a proven track record of driving revenue growth
Proficiency in spreadsheet and reporting tools, including data analysis, reporting, and visualization; preferably with Google workspace
Ability to travel up to 75% to different locations within your territory
Must possess and maintain the ability to legally operate a motor vehicle in accordance with the licensing requirements of the states in which work is performed
What Can Give You a Competitive Advantage (Preferred Qualifications)
Drives results and leads change with confidence and clarity
Builds and maintains strong internal and external relationships
Demonstrates strategic business planning capabilities to align dealership goals with broader organizational objectives
Maintains a strong customer focus and resolves conflicts effectively
Demonstrates strong problem-solving skills by identifying root causes, developing actionable solutions, and implementing improvements that enhance dealership performance and customer satisfaction
Applies analytical thinking to solve complex problems and make data-informed decisions
Leverage data analytics tools to extract actionable insights that drive revenue growth, optimize operational performance, and elevate the customer experience
Excellent oral and written communication skills, with the ability to inform and persuade effectively
Communicates persuasively and informatively across all levels
Maintains a results-driven mindset, consistently pursuing excellence and accountability
The ability to manage multiple tasks, adapt and thrive in a changing environment where there is a degree of ambiguity
Takes initiative and thrives in dynamic environments
Openness to relocate across districts and markets to broaden business knowledge, gain diverse experiences, and support organizational needs
Compensation: The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position, as well as geography of the selected candidate.
The salary range for this role is $105,600 -140,700. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.
Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.
Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more
General Motors has needs for qualified Industrial Electrician Journeypersons. Working under minimal supervision, the skilled trades Electrician Journeyperson is responsible for layout, installation, repair and preventative maintenance of complicated electrical equipment and circuits, troubleshooting and technical expertise on control systems.
Primary Responsibilities:
Interested individuals must meet the following minimum qualifications:
Physical Requirements
General Motors UAW hourly employment offers a very competitive compensation and benefit package. An annual incentive payout is also available, as qualified.
Relocation and travel expenses will be the responsibility of the applicant.
Please note – per the labor agreement between GM and the UAW, GM may share information and documentation relating to the credentials of applicants for this position (e.g., resumes, journeyperson cards, interview notes, certificates, etc.) with UAW personnel who have a need to know as part of their role on the UAW skilled trades team.
The Role
At General Motors, we empower Product Managers to solve challenging customer and business problems. We seek passionate and innovative team members who can collaborate effectively within product management, program management, design, and engineering teams to discover and deliver impactful solutions. We hold our teams accountable for results and seek leaders who can influence teammates, stakeholders, and executives using data and logic.
As the Staff Product Manager for AV capabilities, you will be the product leader responsible for shaping and executing the strategy, roadmap, and success metrics for specific autonomy capabilities and the underlying autonomy platform that will be deployed in GM’s next generation AV products . In this role, you will work closely with Embodied AI, Systems Engineering, Consumer and platform partners to translate GM’s product strategy into high-impact capability outcomes, ensuring delivery at scale, quality, and pace need to meet the product milestones. Success requires strong technical judgment, principled decision-making, and the ability to build alignment across engineering, infrastructure, and other cross functional teams. You should be comfortable navigating ambiguity, making tough tradeoffs, and translating business needs into engineering priorities.
What You’ll Do
Own the product vision and roadmap for specific AV Capabilities and the underlying autonomy platoform for GM’s next generation autonomy products, balancing engineering constraints, business needs, and internal platform dependencies.
Communicate roadmaps, priorities, experiments, and decisions clearly across a wide spectrum of audiences from internal customers to executives.
Synthesize technical and analytical insights into PRDs and requirements that provide engineers and partners with a clear understanding of what to do and why.
Lead executives and key partners through sophisticated decisions to drive progress toward our strategic goals.
Partner closely with Engineering, Program management, Data Science, Commercial operations, Systems Engineering and Consumer Product to define goals and the roadmap needed to reach them.
Identify and lead improvements to the team's innovation and approach enabling us to scale our team and impact.
Exemplify outstanding product development and management practices in everything you touch.
Define, track, and analyze key product metrics and performance data to measure success and identify improvement areas.
Stay updated on new technology and competitive products to drive continuous improvement, anticipate threats, and identify risks
Your Skills & Abilities (Required Qualifications)
5+ years of product management or related industry experience.
Bachelor's degree in Engineering or related fields
Proven experience with technical product management and leading the entire product lifecycle from concept to introduction.
Strong analytical skills with the ability to derive actionable insights from complex data.
Excellent presentation abilities to drive a concrete vision and rally the team.
Technical proficiency in problem-solving with complex software solutions
Experience defining vision and strategy for robotics or autonomy software products
Exceptional communication and leadership skills, with the ability to drive stakeholder buy-in.
Proven oral and written communication skills; ability to become fluent in technical concepts and explain to non-technical partners
Comfortable with complex and ambiguous problems and situations, and adept at identifying a project’s risks
Enthusiastic and resilient in a constantly evolving environment where creative solutions are the norm.
What Will Give You a Competitive Edge (Preferred Qualifications)
MBA or Masters in related technical fields
Experience working on Autonomous Vehicle (AV) teams on ML/AI models .
Experience fostering innovation and driving change in complex organizations
Experience shipping hardware or AI driven consumer products
Hybrid: This role is categorized as hybrid. This means the successful candidate is expected to report to the Warren, MI or Mountain View, CA office three times per week, at minimum.
Compensation: The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of the California Bay Area.
The salary range for this role is $134,700 to $245,00. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.
Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.
Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.
Company Vehicle: Upon successful completion of a motor vehicle report review, you will be eligible to participate in a company vehicle evaluation program, through which you will be assigned a General Motors vehicle to drive and evaluate. Note: program participants are required to purchase/lease a qualifying GM vehicle every four years unless one of a limited number of exceptions applies.
#LI-RF1
#GM-AV-1
General Motors is at the forefront of the transformation of automotive with the electrification of our portfolio and the development of leading-edge central compute and autonomous capabilities. Our Central Compute Hardware (CCH) Mechanical Design team is a dynamic, high-energy innovative group focused on developing enclosures for next‑generation ECUs (Electronic Control Units) commonly shared across both future ICE and EV vehicles manufactured by GM.
The team is responsible for developing the mechanical, EMI, and thermal design of new compute‑related electronics using fundamental 1st principles, CAD, and analysis while collaborating with GM Vehicle Packaging teams and our in-house electrical design teams. We are also responsible for conducting preliminary functional testing during development and implementing design changes as we learn from testing and obtain DFM/DFA feedback.
We are seeking a Mechanical Hardware Engineer with strong NX and Teamcenter proficiency to support the in‑house development of GM’s Software Defined Vehicle (SDV) electronics. You will focus on CAD, drawings, and product data management for ECU housings and related components, partnering closely with senior technical experts to deliver robust designs into production.
Compensation: The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position, as well as geography of the selected candidate.
• The salary range for this role is ($125,200 to $192,700). The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.
• Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.
Benefits:
• Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.
#LI-JK3
]]>You will manage AI/ML Engineers, support their career growth, and guide the team’s technical direction. In this role, you will collaborate closely with partner teams across the organization, help define best practices for engineering execution, and contribute to building and sustaining a high‑impact, high‑performance team.
About the Team:
The Data Scaling group owns the Data Flywheel for AV Foundation model development and successive fine tuning. It defines the composition of the data that is needed for the AV to learn behaviors at scale and deliver the driving behaviors necessary for the product success. The team owns the definition and processes for data quality across the data loop.
The team directly works on and delivers ML models to the product that successively go up the Data Scaling curves, thereby improving AV performance through smart use of data. As part of this work, the team builds scalable systems and pipelines that attempt to 10x the data used, its diversity and impact on the models with successive major releases. The team uses existing very large datasets that GM has access to internally as well as defines the next generation of highest value datasets that GM continues to collect – both from real driving by GM internal and retail fleets but also synthetic sim-based datasets.
Why Join Us?
Scale up AV foundation model pre-training and fine-tuning with data to its maximum capacity – into billions+ of examples - across different sources, delivering the maximum value to the model through every additional example.
Work with cutting-edge technology and a collaborative, high-impact team of AI/ML engineers, data scientists and engineers who are passionate about leveraging advanced AI techniques to drive innovation for L2, L3 and L4 applications.
Contribute to the safety, reliability, and scalability of next-generation autonomous vehicles.
What You'll Do:
Manage a team of AI/ML engineers building and scaling the Data Flywheel at GM.
Raise the engineering bar of the team: set best practices, give feedback, and provide mentorship to direct reports.
Drive the technical vision for aspects of Data Foundations at GM, working with senior leaders and members of your team.
Define the project roadmap, set development priorities, and align the team’s work with company objectives and product milestones.
Collaborate cross-functionally with teams involved in AV model development and validation and ensure we meet organizational goals, product requirements and scaling needs.
Promote a collaborative, inclusive, and high-performance team culture, and champion the GM engineering values and principles.
What You Must Have:
BS, MS, or PhD in Robotics, Computer Science, Engineering, or a related technical field.
Proven experience managing and scaling high-performing engineering teams with a focus on operational excellence.
Demonstrated ability to inspire and motivate teams, drive best practices, and deliver continuous improvement.
Track record delivering scalable software solutions to a production environment using Python.
Proven experience in solving data scaling challenges, ranging from data diversity, data quality and building best practices to incorporate multiple data sources in large models.
Excellent communication, collaboration, and mentoring abilities, with a passion for driving innovation in autonomous technology.
Strong organizational, communication, and people leadership skills.
Bonus Points
A background in Robotics or the AV/ADAS industry.
Direct experience leveraging LLMs/VLMs/etc. for production workflows.
Experience in building and scaling large model training pipelines that are performant and enable quick iteration by distributed teams.
Strong data processing skills using tools like Numpy, Pandas, and Apache Spark.
Experience developing or working with safety-critical code and systems
Experience deploying foundation models into production environments and understanding the end-to-end process.
Remote/Hybrid: This role is categorized as fully remote or hybrid.
Compensation: The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of the California Bay Area.
The salary range for this role is $296,300-$453,900. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.
Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.
Benefits:
Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.
Company Vehicle : Upon successful completion of a motor vehicle report review, you will be eligible to participate in a company vehicle evaluation program, through which you will be assigned a General Motors vehicle to drive and evaluate. Note: program participants are required to purchase/lease a qualifying GM vehicle every four years unless one of a limited number of exceptions applies.
Relocation: This job may be eligible for relocation benefits.
#LI-CX1
#GM-AV-1
]]>GM DOES NOT PROVIDE IMMIGRATION-RELATED SPONSORSHIP FOR THIS ROLE. DO NOT APPLY FOR THIS ROLE IF YOU WILL NEED GM IMMIGRATION SPONSORSHIP (e.g., H-1B, TN, STEM OPT, etc.) NOW OR IN THE FUTURE.
The Role:
As a member of our Global Team you will support the workplace transformation within a wide range of facilities that GM has around the world. You will work with an industry leading team that designs, builds/constructs, and maintains facilities and building assets for vast operating functions. Doing so in a safe, compliant, cost-efficient manner that utilizes advanced technology to support social & ecological sustainability. We create the future and not just plan for it!
Onsite: This role is categorized as onsite. This means the successful candidate is expected to report to our Kokomo, Indiana location on a full-time basis. This role may require off-shift or overtime work
What You’ll Do:
Manage substation maintenance program:
Act as am Electrical SME
Create/Manage Non-Portfolio Projects
Support plant & facilities maintenance with utility issues throughout the plant (utility quality / distribution issues). Lead communications regarding Utility (internal & external) and Production utility disruption notifications.
Maintain strong Utility Company interface and coordination regarding consistent service, scheduled and non-scheduled disruptions. Lead Root Cause analysis development for External Utility Company disruptions.
Resource for engineering services for all facility related systems. Serve as technical liaison for Sustainable Workplace (Facilities) Operations
Support 3rd party contract management activities
Act as the owner and is responsible for all architectural, electrical, or mechanical categories relating to forecasting, planning, and executing asset sustainment plans and strategies, accountable for facility condition assessments.
Responsible to manage and ensure all critical facility drawings for site are maintained current and accurate including but not limited to: revise construction documents to “as-built” conditions, coordinating with the appropriate GM personnel for updating GM Master Computer Aided Design & Drafting (CADD) files and archiving projects as required to and support common processes for document management during and after project execution.
Responsible for the execution of and compliance to the Project Delivery Tool (PDT) Program Manager (PDPM) for their responsible portfolio and projects. High cost and / or high complexity projects requiring engineering.
Your Skills & Abilities (Required Qualifications):
3+ years in design, maintenance, and operation of industrial building electrical systems
Experience in project planning, engineering, and execution
Experience with low voltage power distribution
Knowledge of energy systems, medium voltage power distribution, fluid power, or energy conversion preferred.
Experience in managing salaried and/or hourly personnel preferred.
High level of negotiating skills to resolve issues with both internal and external stakeholders.
High level of analytical skills to evaluate and resolve operational problems while working independently.
Computer skills including competency in office software and electronic information systems.
Proficient use of AutoCAD
Able to manage projects within budget and with multiple suppliers, contractors or other GM units.
What Will Give You A Competitive Edge (Preferred Qualifications)
5+ of experience as Facilities Engineer
Familiarity with NFPA 70E
Experience in substation maintenance
Experience in project planning, engineering, and execution
Experience with low voltage power distribution
BS Electrical Engineering (MS/professional certifications preferred)
The Role -
The Senior Interior Designer is responsible for defining and driving the creative direction of vehicle interiors for GM brands serving China and global markets. This role leads interior theme development from early advanced concepts through production execution, ensuring that designs deliver compelling customer experiences , express brand DNA , and meet feasibility, quality, and cost targets.
You will collaborate closely with UX/HMI, CMF, Studio Engineering, VSE, Product Planning, and Customer Research .
What You’ll Do -
Lead interior design themes for assigned programs (advanced and production) from early sketch to final CAS/digital model and design freeze.
Translate brand strategy, China customer insights, and technology roadmaps into clear, differentiated interior concepts.
Generate and review high-quality sketches, storyboards, digital renderings, and VR/3D presentations that communicate spatial concepts, UX flows, and CMF direction.
Partner with UX/HMI and CMF teams to create holistic interior experiences that integrate displays, lighting, controls, materials, and sound.
Work closely with Studio Engineering and Packaging to ensure concepts are technically feasible, manufacturable, and aligned with safety, ergonomic, and regulatory requirements.
Drive interior design deliverables and gateways in line with the Design GVDP process , ensuring timing, quality, and alignment with global and regional leadership expectations.
Prepare and present design proposals in studio reviews, Design Leadership Team (DLT) reviews, GDRs, and executive design forums , incorporating feedback into refined solutions.
Support customer clinics, research activities, and VR evaluations , defining stimuli and synthesizing learnings back into design directions.
Provide creative leadership, mentoring, and day-to-day guidance for junior and senior interior designers within the team.
Partner with Global Design studios to align China proposals with global brand language while championing China-specific needs and innovation .
Ensure all design work adheres to GM standards for craftsmanship, surface quality, proportion, and user-centered design .
Contribute to advanced and exploratory interior projects , including new interaction models, future cockpit concepts, and AI- or data-enabled experiences.
Maintain a strong awareness of competitive benchmarks, design trends, and emerging technologies relevant to automotive interiors and in-cabin experience.
Your Skills & Abilities (Required Qualifications)
Education (minimum): BA or MA degree in Transportation, Automotive, or Industrial design, or equivalent experience
3+ years of professional work experience in automotive design, preferably with international experience at prominent European OEM studios or design houses
Comprehensive Interior design ability that begins with creating innovative and relevant design concepts, fresh new design themes, cohesive and attractive design proposals, and continues all the way to the completion of a 3D vision (i.e. 3D digital and full-size clay models)
Superb professional sketching and rendering skills, 2D visual communication is very important
Capable of conceptual thinking and cross functional collaborative work
Desire, ability and dedication of total involvement in a holistic design process
Good understanding of user needs in different scenarios; able to improve the user experience via design
General Motors is seeking a Senior Software Engineer to support, design, and improve delivery of enterprise applications, integrations, and intelligent platform capabilities across the Global Physical Security and Medical portfolio. This role focuses on modernizing mission-critical solutions across on-prem, cloud, SaaS, and hybrid environments, strengthening system reliability, enabling scalable integrations, and driving technical execution across a complex operational landscape. The Senior Software Engineer will also help introduce AI-enabled capabilities in practical, secure, and responsible ways, supporting automation, advanced insights, and intelligent workflows that improve both service delivery and business decision-making.
What You'll Do:
Build, maintain, and support COTS applications on Unix and Windows platforms that are essential to business operations
Deploy applications and infrastructure as code using Terraform and similar tools
Lead and support application migrations to SaaS and cloud-based platforms
Create, maintain, and improve automation and operational scripts for deployments, backups, monitoring, rollbacks, and routine maintenance
Build and support CI/CD pipelines across applications, integrations, and platform services
Monitor platform health and data pipelines, including alerting, capacity planning, performance tuning, and operational readiness
Plan and execute backups, disaster recovery testing, and restore procedures for supported applications
Enforce security best practices including secrets management, RBAC, patching, vulnerability remediation, SSO/SAML, and audit logging
Troubleshoot incidents across the application and integration stack, perform root cause analysis, and produce post-incident documentation
Maintain runbooks, playbooks, technical documentation, and regular housekeeping procedures
Drive improvements in system reliability, maintainability, observability, and supportability
Apply modern engineering practices including Agile, DevSecOps, CI/CD, automated testing, and release governance
Identify and implement AI and intelligent automation opportunities that improve efficiency, user experience, and business outcomes
Develop agentic AI solutions that streamline business processes and enable practical, secure, and responsible use of AI
Evaluate new tools and technologies through proofs of concept
Mentor junior engineers and collaborate cross-functionally to deliver scalable platform and integration solutions
Your Skills & Abilities (Required Qualifications):
Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related field
5+ years of professional software engineering, systems engineering, or platform support experience
Strong experience with scripting and automation using Bash, Python, Java or similar languages
Hands-on experience with Terraform, GitHub, Linux, Windows Server, and SSO/SAML
Experience with cloud platforms such as AWS and/or Azure
Experience building and supporting CI/CD pipelines, deployment automation, testing strategies, and environment promotion
Experience with Databricks Asset Bundles, GitHub Actions, or similar modern delivery tooling
Experience deploying and supporting containerized applications using Docker, Kubernetes, or similar technologies
Experience with SQL and NoSQL databases such as PostgreSQL, MongoDB, and Redis
Strong Linux administration and networking fundamentals
Solid understanding of security practices including RBAC, secrets management, TLS, patching, and audit controls
Demonstrated ability to evaluate, design, and implement deployment architectures for complex data and application platforms
Excellent troubleshooting, communication, and documentation skills
What Will Give You A Competitive Edge (Preferred Qualifications):
Experience with BrowserStack
Experience with OTEL, DataDog, and modern observability practices
Practical experience with tools such as Databricks Genie, Glean, Cursor, GitHub Copilot, or similar AI-enabled engineering tools
Familiarity with MCP-style integrations and AI tools that connect to enterprise systems and services
Experience applying AI and LLM capabilities to operational workflows, analytics, and decision support
Ability to uncover patterns and insights in structured and semi-structured data and translate them into business actions
Experience building real-time alerts, operational signals, predictive indicators, or intelligent automation workflows
Strong ability to frame AI-assisted analytical problems, evaluate model output quality, and apply responsible AI practices across governance, security, privacy, and quality
#LI-SB3
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The Senior Software Engineer is responsible for participating in all aspects of the software development lifecycle which includes estimating, technical design, implementation, documentation, testing, deployment, and support of application developed. You will work with other IT staff members to ensure the highest degree of functionality and reliability of our application and infrastructure. This position requires an individual who is hands-on in MuleSoft API development with API Led architecture, .NET Core or Java development using Spring Boot for developing web services, and Angular or React for front end web development is a plus. The individual must be detail-oriented, able to adapt under stressful conditions, can multitask, possesses solid technical communication and customer service skills.
The AV Developer Productivity organization is responsible for delivering and maintaining the tools and services engineers here at GM use every day to do their best work and drive our autonomous vehicle program forward. Tools and services we work on enhancing the entire development process of engineers at GM — how/where code is checked out, modified, compiled, tested, merged, and eventually deployed. Our goal is to ensure our AV engineers and others here have world class tools and a seamless development experience so that they can focus on the problems that matter most in their domain.
The Role
We are looking for an Engineering Manager with an extensive engineering background, experience using a variety of developer tools and technologies, and who is passionate about developer productivity. As a leader on this team, we are looking for someone who cares deeply about the technical development of other engineers on the team and is able to effectively balance the needs and priorities of the business, our users, and the growth of our engineers. This person will start delivering impact through observability frameworks and will evolve depending on business needs but they will be expected to identify high ROI investments with minimal guidance.
The Team
As a part of AV Developer Productivity, the AV Observability team is responsible for creating and maintaining a robust, reliable, and cohesive observability offering for AV developers and leaders across GM to optimize internal and external system performance and reliability. We achieve this through a combination of internally developed tools, vendor tools, and agentic AI workflows.
What You’ll Do
Team leadership: Manage and grow a team of engineers, conducting performance reviews, providing coaching, and supporting career development.
Technical strategy: Define and execute the technical vision and roadmap for the observability platform, ensuring it provides actionable insights into complex systems.
Architectural oversight: Provide technical guidance on instrumentation, logging, metrics, and tracing to ensure comprehensive visibility across GM’s AV software stack.
Incident response: Ensure the team's tools enable rapid detection, debugging, and resolution of unknown or unforeseen system failures to minimize downtime.
Cross-functional collaboration: Work with other engineering teams—such as those developing AI/ML, firmware, and infrastructure—to implement observability practices and improve system reliability.
Platform development: Lead the development of internal tools and data pipelines to collect, analyze, and visualize telemetry data at a massive scale.
Vendor management: Manage relationships and costs associated with third-party observability software and platforms.
Your Skills & Abilities (Required Qualifications)
Management experience: 7+ years of proven leadership experience managing software or site reliability engineering (SRE) teams
Observability expertise: Deep understanding of core observability pillars: logs, metrics, and traces. Experience with technologies like Prometheus, Grafana, OpenTelemetry, and log management systems is crucial
Software architecture: Strong background in designing, developing, and architecting distributed systems, cloud-native applications, and microservices
Programming proficiency: Familiarity with Go, Python, Typescript or similar along with software development practices to inform code reviews and architectural decisions
Cloud infrastructure: Experience with modern cloud offerings like GCP, AWS, or Azure and technologies like CI/CD pipelines, Kubernetes, and Docker
Communication skills: Excellent interpersonal and communication skills to collaborate effectively with diverse teams and stakeholders
Relevant Technologies: GCP, Go, Python, Typescript, OpenTelemetry
What Will Give You a Competitive Edge (Preferred Qualifications)
Experience working with GCP, AWS, or Azure
Familiarity with Kubernetes, Docker, Istio, Terraform, Prometheus, Grafana, TSDBs and observability pipelines (e.g. either for logging or metrics or tracing)
Skilled in defining and instrumenting SLIs and SLOs
Own or contribute to Open Source projects
Passion for self-driving technology and its potential impact on the world
Compensation: The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of New York, Colorado, California, or Washington.
The salary range for this role: is $218,800- $335,300. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.
Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.
Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.
Company Vehicle: Upon successful completion of a motor vehicle report review, you will be eligible to participate in a company vehicle evaluation program, through which you will be assigned a General Motors vehicle to drive and evaluate. Note: program participants are required to purchase/lease a qualifying GM vehicle every four years unless one of a limited number of exceptions applies.
]]>The General Motors Manufacturing Group is seeking to identify highly motivated and qualified individuals for current and potential future opportunities as a Group Leader. In anticipation of these openings becoming available, we welcome you to apply so we can begin the pre-screening and interview process.
Onsite: This role is categorized as onsite. This means the successful candidate is expected to report to Orion, Michigan on a full-time basis.
This role requires 8-12 weeks of training that will be completed in the first 8-12 weeks of employment at other GM locations (Lansing Delta Township, Flint, Ft. Wayne, Arlington, or other locations as determined by the business). Travel to those locations will be required during the 8-12 week training – accommodations will be provided. After the completion of the 8-12 week training program, the role will be located in Orion, MI with minimal travel thereafter.
The Role:
The Maintenance Group Leader will be responsible for leading a group of skilled, hourly workers to troubleshoot and repair complex equipment and processes. This position requires the ongoing application and enforcement of the National and Local UAW Agreements. Candidates must possess technical expertise to oversee and support maintenance operations, exercising independent judgment within the framework of Global Manufacturing Systems, with a focus on Safety, People, Quality, Responsiveness, Cost, and Environment (SPQRCE).
What You'll Do (Responsibilities):
Production & Operational Management
Analyze and adjust daily manufacturing plans; manage manpower allocation and respond promptly to issues to maintain production flow.
Manage multiple tasks in a fast-paced environment, navigate ambiguity, and drive accountability through people and processes.
Continuous Improvement & Lean Practices
Improve business results using Lean Manufacturing; identify and eliminate waste for Safety, Quality, Throughput, and Cost.
Develop and maintain Throughput Improvement Process action sheets; lead corrective and preventive actions and generate Quality Alert Boards (QABs).
Quality & Compliance
Enforce quality processes with customer safety at the center; perform critical confirmations and ensure compliance with TA1 requirements.
Drive quality through effective feedback/feedforward communication and resolve build discrepancies promptly.
Leadership & Team Development
Coach and mentor team members and Team Leaders to foster skill development and adherence to standard work practices.
Conduct disciplinary interviews, manage grievances, and collaborate with union partners effectively.
Data-Driven Decision Making
Locate and analyze operational data to support accountability and continuous improvement initiatives.
Specific physical requirements of the position include the ability to:
Work in a loud manufacturing environment that may not be climate controlled (conditions can be hot or cold)
Possess good physical stamina and coordination to frequently and repetitively:
Bend, twist, kneel, crouch and reach to perform work
Lift or carry materials weighing up to 15 lbs. and periodically carry or lift materials weighing up to 40 lbs.
Walk and stand for prolonged periods of time
Occasionally sit, climb (including ladders and lifts) and drive vehicles and equipment
Read standardized work instructions, operate machines and tools, and perform quality inspections
Promptly detect and respond to safety instructions, alarms, and signals
Wear personal protective equipment, for example: safety glasses, gloves, hats, ear plugs, and safety shoes
Your Skills and Abilities (Required Qualifications):
One year of direct team supervisory experience or at least 5 months as an internal GM per diem group leader
Experience reading and understanding electrical, pneumatic, and hydraulic blueprints
Experience solving complex problems and working in a fast-paced environment
Strong interpersonal skills, experience managing conflict and decision making
Experience managing, leading people, and addressing performance concerns
Demonstrate a high analytical ability to solve complex problems
Basic computer proficiency (i.e., Microsoft Word, typing, email, etc.)
Must be willing to work weekends and rotating shifts
18 years of age or older
High School Diploma or equivalent
What Can Give You a Competitive Edge (Preferred Qualifications):
Journeyperson or Engineering Bachelor’s Degree (from an ABET Accredited University)
Hands-on technical experience in a manufacturing setting, with exposure to general assembly, paint, and body shop processes.
Strong critical thinking and analytical skills
Experience working on multiple projects simultaneously
Willingness to ask questions, take initiative and be resourceful
High level of integrity, ability to deal with ambiguity, self-directed
Experience collaborating across multiple functions within a manufacturing setting
General Motors has needs for qualified Industrial Electrician Journeypersons. Working under minimal supervision, the skilled trades Electrician Journeyperson is responsible for layout, installation, repair and preventative maintenance of complicated electrical equipment and circuits, troubleshooting and technical expertise on control systems.
Primary Responsibilities:
Follow established safety procedures according to OSHA standards and company procedures
Responsible for the maintenance and repair of electrical equipment
Analyze and troubleshoot electrical malfunctions in equipment and related components, diagnosing and correcting the problems quickly to avoid production delays
Perform electrical preventative and corrective maintenance on all plant equipment
Promote teamwork and show a willingness to work with other departments
Participate in continuous improvement activities
Read and interpret drawings and wiring schematics
Demonstrate strong problem-solving skills
Interested individuals must meet the following minimum qualifications:
At least six (6) years of related experience as an Electrician or a U.S. Department of Labor Certificate of Completion in the Electrical trade
Must be able to satisfactorily complete the General Motors hiring process requirements which includes comprehensive assessments, drug testing, and a background check
At least 18 years of age
Eligible to work in the United States
Must be willing to work flexible shift hours and day, afternoon, or night shift as well as overtime hours daily, weekends and holidays on those shifts with little notice
GM DOES NOT PROVIDE IMMIGRATION-RELATED SPONSORSHIP FOR THIS ROLE. DO NOT APPLY FOR THIS ROLE IF YOU NEED OR WILL NEED GM IMMIGRATION SPONSORSHIP TO WORK OR TO REMAIN EMPLOYED AT GM (e.g., H-1B, TN, STEM OPT, etc.).
If you are a current GM employee operating under a collective bargaining agreement, please contact your local HR/LR for employee placement opportunities.
This position may be filled with a Journeyperson or Journeyperson In Training, the compensation ranges for a JIT include ($37.77 - 44.06) or Journeyperson rate of ($44.96). Certificates/credentials and scoring in interview will determine your status and pay.
Physical Requirements:
Quick response to safety instructions, alarms, and signals are a must
Ability to work and stand for extended periods
Comfortably wear personal protective equipment
Navigate a busy environment
Bend, twist, kneel, crouch, and reach
May need to lift or carry materials weighing up to 50 lbs. depending on department
Occasional sitting during certain tasks
Drive mobile equipment when needed
General Motors UAW hourly employment offers a very competitive compensation and benefit package. An annual incentive payout is also available, as qualified.
Relocation and travel expenses will be the responsibility of the applicant.
Please note – per the labor agreement between GM and the UAW, GM may share information and documentation relating to the credentials of applicants for this position (e.g., resumes, journeyperson cards, interview notes, certificates, etc.) with UAW personnel who have a need to know as part of their role on the UAW skilled trades team.
]]>GM’s Motorsports Software team analyzes, defines, and delivers next-generation, groundbreaking Motorsports IT software solutions. Using innovative cloud-based infrastructure and modern software development standards, these solutions enable seamless interaction between GM Global Engineering, GM Motorsports, and our race teams—helping accelerate our drivers to the finish line first.
Our combined team partners closely with GM Motorsports Engineering and race teams to ensure podiums and wins for GM’s F1, NASCAR, IndyCar, WEC, and IMSA programs.
The software group supporting Motorsports and the Race Vehicle Platform is looking for a Senior Software Engineer to join our team.
In this role, you will lead and contribute to the delivery of complex software projects, developing applications using a variety of tools, languages, frameworks, and technologies. You will be working in a high-pace, event-driven environment where reliability, performance, and usability directly impact trackside performance.
This role includes on-call support which will include weekends and shift rotation aligned to the global motorsports calendar and critical track/test events.
Full lifecycle application development using standard frameworks, coding standards, and design patterns.
Develop high-quality software applications using sound, repeatable, industry-standard methodologies.
Demonstrate proficiency across multiple programming languages, tools, and technologies.
Perform performance tuning, profiling, and usability assessment/improvement.
Identify and remediate software issues related to code quality, security, patterns/frameworks, and usability.
Debug, maintain, and enhance live software systems used in critical motorsports operations.
Collaborate with cross-functional partners in Motorsports Engineering, trackside operations, and Global Engineering.
Mentor junior software developers and review code to uphold team standards and best practices.
Minimum 7 yrs of professional software development experience.
Minimum 3 yrs of experience developing web or Electron applications .
Excellent technical knowledge of C#/.NET and React .
Strong experience and knowledge of Azure and Azure resources.
Solid understanding of software development best practices (code reviews, CI/CD, testing, documentation).
Experience working in an agile/scrum environment implementing full stack features, bug fixes, or dev experience enhancements.
UI design experience and a strong understanding of UX principles.
Strong knowledge and understanding of different web platforms and reuse strategies.
Proven track record of maintaining and debugging live software systems in production.
Previous experience in, or strong passion for Motorsports and working in a high-pace, event-driven environment.
Master’s degree in Mechanical Engineering and/or Computer Scienc.e
Experience with cloud computing-based distributed systems.
Experience supporting mission-critical or real-time applications where uptime and performance are essential.
What You’ll Do
Your Skills & Abilities (Required Qualifications)
What Will Give You a Competitive Edge (Preferred Qualifications)
We are looking for a Software Engineering Manager, Cloud Platform - Nova to lead engineers on the Atmos team building GM’s next generation cloud platform, Nova. Nova powers customer- and vehicle-centric systems across GM, including areas such as OnStar, GM Energy, and Commercial and Fleet partnerships. This role will focus primarily on event messaging, data, and storage services that support multiple teams and workloads in a multi-cloud environment running on Azure and GCP.
This is a strong opportunity for a leader who wants to work on meaningful platform problems at real scale. The size, complexity, and reach of the platform at GM create the kind of challenge that appeals to engineers who want to build durable shared capabilities, influence how large organizations operate, and help teams move faster through better platform foundations. The systems this team owns sit at the center of a large and complex engineering ecosystem, and the work has direct impact on how critical GM software is built, operated, and supported.
The right candidate will bring strong engineering management experience, technical depth in cloud platform engineering, and a clear track record of helping teams deliver and run highly reliable shared services. This leader will help the team strengthen monitoring, observability, deployment patterns, operational readiness, and on-call execution while also bringing more structure to backlog management, program management, planning, and team ceremonies. The role is especially well suited for a leader who thinks about platform capabilities as products for internal customers and wants to help create the paved roads and shared operating model that make the secure, reliable path the easiest path for engineering teams.
What You’ll Do
Lead and develop a team of engineers responsible for cloud platform capabilities in event messaging, data, and storage
Drive delivery and day-to-day operational excellence for shared services used across Nova
Own backlog management, program management, planning, and team ceremonies to improve execution and clarity across the team
Help define and execute the roadmap for platform capabilities that improve reliability, scalability, security, and developer experience
Improve monitoring, observability, deployment patterns, release safety, and other operational practices needed to run highly reliable services
Establish clear expectations for engineering quality, service ownership, incident response, on-call participation, and operational maturity
Partner with engineering, platform, security, and product stakeholders to align priorities and deliver platform capabilities that meet customer needs
Build a strong team culture grounded in accountability, technical excellence, continuous improvement, and operational ownership
Coach engineers and emerging leaders through regular feedback, career development, and high standards for execution
Ensure the team is building reusable, well-operated services that reduce complexity for platform consumers across Azure and GCP
Your Skills & Abilities
Significant experience leading engineering teams in cloud platform, infrastructure, distributed systems, or related software engineering environments
Strong technical foundation in cloud-native systems, shared platform services, and production operations
Experience leading teams responsible for messaging, data, or storage platforms in production environments
Experience building and running highly reliable services with strong practices around monitoring, observability, deployment patterns, and service operations
Experience with backlog management, program management, planning, and team execution rhythms in a platform or infrastructure-focused organization
Demonstrated ability to hire, coach, and develop engineers across multiple experience levels
Strong communication skills and the ability to influence across organizational boundaries
Ability to connect technical decisions and platform investments to broader engineering and business outcomes
Experience improving engineering execution, service ownership, on-call maturity, and operational excellence in growing platform organizations
What Will Give You a Competitive Edge
Experience building, managing, or providing shared capabilities around Kafka, RabbitMQ, Postgres, Cassandra, or related systems
Experience leading teams that operate multi-cloud platform services across Azure and GCP
Strong background in developer enablement and building shared services that are easy for internal customers to adopt
Experience improving service reliability, observability, deployment patterns, operational readiness, and supportability for shared platform systems
Experience leading teams with meaningful on-call responsibilities and strong incident response practices
A practical leadership style with a high bar for quality, accountability, and customer-focused platform delivery
Company Vehicle: Upon successful completion of a motor vehicle report review, you will be eligible to participate in a company vehicle evaluation program, through which you will be assigned a General Motors vehicle to drive and evaluate. Note: program participants are required to purchase/lease a qualifying GM vehicle every four years unless one of a limited number of exceptions applies.
The Manager, Secure Product Engineering leads the Secure Product Engineering pillar within GM’s Product Cybersecurity organization, partnering closely with product engineering teams to ensure software and systems are implemented securely throughout the build phase of development. This role shapes the technical guidance, tooling, and workflows that enable secure software and systems engineering to scale across GM’s product portfolio, including embedded vehicle software, mobile experiences, and other key software and services.
Company Vehicle: Upon successful completion of a motor vehicle report review, you will be eligible to participate in a company vehicle evaluation program, through which you will be assigned a General Motors vehicle to drive and evaluate. Note: program participants are required to purchase/lease a qualifying GM vehicle every four years unless one of a limited number of exceptions applies.
]]>General Motors has a need for qualified Mechanical Journeypersons (Millwrights.) You will work under minimal supervision with a high level of independent judgement and problem solving. You should be flexible enough to take on and tackle multiple job assignments in a shift.
Preferred Experience Includes:
Experience with planned maintenance systems and predictive technologies
Experience with industrial robotics, automation, and conveyance systems
Primary Responsibilities:
Follow established safety procedures according to OSHA standards and company procedures
Maintain, dismantle, repair, and replace mechanical and hydraulic components (e. g. bearings, seals, details, carriers, etc.) on industrial machinery such as shafting, motors, generators, air compressors, engines, pumps, cylinders, gears, couplings, linkages, ball screws, high speed CNC spindles, coolant systems and filters, and combustion equipment and valves
Layout, assemble, fabricate, maintain, and repair piping systems
Use various hand or power tools for measuring, cutting, threading, grooving, bending, soldering, assembling, joining, and installing pipes, valves, and fittings
Read and interpret blueprints for the mechanical operation and assembly of conveyor systems, material handling systems, robots, and other automation
Operate mobile equipment (e.g. forklifts, vertical lifts, cranes)
Determine loading requirements to rig equipment and material for lifting
Set up and operate conventional or computer numerically controlled (CNC) machine tools such as lathes, milling machines, and grinders to cut, bore, grind, or otherwise shape parts to prescribed dimensions and finishes
Fabricate punches, tools, steel rule tools and t-sets to exact specifications
Plan sequences of operations for fabricating tools or assemblies using blueprints, sketches, or models
Determine quality of finished products, ensuring defect-free parts, by verifying dimensions, alignment, and clearances for conformance to specifications using measuring instruments such as calipers, gauge blocks, micrometers, and dial indicators
Interested individuals must meet the following minimum qualifications:
At least six (6) years of related experience in a Mechanical trade (millwright, pipefitter, toolmaker, machine repair) or a U.S. Department of Labor Certificate of Completion in a Mechanical trade (millwright, pipefitter, toolmaker, machine repair).
Must be able to satisfactorily complete the General Motors hiring process requirements which includes comprehensive assessments, drug testing, and a background check
At least 18 years of age
Eligible to work in the United States
Must be willing to work flexible shift hours and day, afternoon, or night shifts as well as overtime hours daily, weekend and holidays on those shifts with little notice
GM DOES NOT PROVIDE IMMIGRATION-RELATED SPONSORSHIP FOR THIS ROLE. DO NOT APPLY FOR THIS ROLE IF YOU NEED OR WILL NEED GM IMMIGRATION SPONSORSHIP TO WORK OR TO REMAIN EMPLOYED AT GM (e.g., H-1B, TN, STEM OPT, etc.).
If you are a current GM employee operating under a collective bargaining agreement, please contact your local HR/LR for employee placement opportunities.
This position may be filled with a Journeyperson or Journeyperson In Training, the compensation ranges for a JIT include ($37.78 - $44.08) or Journeyperson rate of ($44.98). Certificates/credentials and scoring in interview will determine your status and pay
General Motors UAW hourly employment offers a very competitive compensation and benefit package. An annual incentive payout is also available, as qualified.
Relocation and travel expenses will be the responsibility of the applicant.
Physical Requirements
Quick response to safety instructions, alarms, and signals are a must
Ability to work and stand for extended periods
Comfortably wear personal protective equipment
Navigate a busy environment
Bend, twist, kneel, crouch, and reach
May need to lift or carry materials weighing up to 50 lbs. depending on department
Occasional sitting during certain tasks
Drive mobile equipment when needed
Please note – per the labor agreement between GM and the UAW, GM may share information and documentation relating to the credentials of applicants for this position (e.g., resumes, journeyperson cards, interview notes, certificates, etc.) with UAW personnel who have a need to know as part of their role on the UAW skilled trades team.
About the Organization: The Autonomous Vehicle (AV) organization is dedicated to advancing the development of autonomous vehicles through cutting-edge simulation technologies and novel iterative development processes. The Behavior Validation team focuses on unlocking software launches and continuous release decisions via simulation verification and validation strategies, prototypes, and protocols. Our collaborative environment fosters innovation and excellence, allowing us to push the boundaries of what is possible in autonomous vehicle testing.
What You’ll Do:
Develop and prototype strategies to benchmark autonomy systems’ performance.
Convert validation strategies into production code that executes high quality AV behavior analysis for continuous and scaled software release cycles
Utilize performance data gathered from in-simulation, on-bench, on-road testing, to create actionable insights for AI developers to continuously improve the stack performance
Use data analytics to facilitate data driven design, validation, risk analysis, and prioritization decisions
Build tools that scale systems engineering prototyped testing products to additional users like the software release team and Embodied AI
Facilitate cross-team collaboration to establish coding best practices for the Software Validation Organization
Your Skills & Abilities
Recently completed or completing Master's degree in Spring 2026 in Computer Science, Mechanical Engineering, Aerospace Engineering, Physics, Data Science, or related fields
Experience in software engineering; bonus if overlap in systems engineering, robotics, systems analysis, data analysis, statistical analysis, or other related fields
Strong skills in utilizing AI to accelerate SW development
Experienced with SQL, Python, and C++ for analyzing large data sets and building production-quality simulation testing products
Strong analytical thinking skills with the ability to interpret data and derive impactful conclusions
Ability to adapt and operate under ambiguity, going from quick code prototypes to long-term plans on brief time horizons
Excellent communication skills, capable of switching between high-level and detailed discussions
What Will Give You A Competitive Edge
Proven track record of successful software engineering on a safety-critical projects, especially as it related to verification and validation tools
Experience with robotics, autonomous vehicles, vehicle development, or ADAS development
Experience working with robotics simulation environments
Experience analyzing automotive collision data
Experience developing dashboards and data visualizations using tools such as Looker or Jupyter notebooks
Compensation :
The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of New York, Colorado, California, or Washington.
The salary range for this role is $99,400 - $153,900. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.
Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.
Benefits :
Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.
GM’s Human Interface Design (HID) team is shaping the future of how people interact with our vehicles through advanced interfaces, immersive visuals, and emotionally resonant experiences. As part of the Advanced UX Insights team, you will help build the foundation for General Motors customer experiences on the 10‑year horizon and beyond. In this role, you will frame and communicate visions of the future and propose new vehicle experience opportunities for GM through conceptual visualization, animation, prototyping, and 2D/3D design. You will blend future foresight, creativity, strategic thinking, industrial design, and digital visualization craft to envision intuitive, inclusive, and future‑forward mobility experiences. If you are energized by future thinking, thoughtful collaboration, and bringing bold ideas to life, this role offers the opportunity to influence future chapters of GM’s design innovation.
What You’ll Do
Immerse yourself in a collaborative process of learning and discourse informed by the latest societal, technology, economic, policy, and sustainability trends.
Identify and clearly communicate key disruptors that could alter the vehicle transportation business and broader mobility ecosystem.
Participate in an iterative design problem‑solving process that considers existing and emerging technologies, then creatively applies them to address current and projected customer needs.
Create future‑facing visions that define key customer value propositions, required vehicle attributes, hardware and software features, technical requirements, and customer experience outcomes.
Envision advanced UX concepts and visual directions that shape future in‑vehicle experiences, supported by storyboards, narrative flows, and compelling visual storytelling.
Produce and guide others in the creation of high‑quality concept visuals, including 2D illustrations, UI explorations, 3D digital models, and animations that bring future‑state interactions to life.
Deliver finished design assets such as layouts, sketches, motion graphics, and user journeys that are ready for collaboration, customer research, or handoff to implementation partners.
Collaborate and present effectively with cross‑functional teams (design, research, engineering, product, suppliers), bringing fresh foresight from UX, mobility, AI, and technology trends to influence future product and service decisions.
Your Skills & Abilities (Required Qualifications)
2+ years of professional experience in Industrial Design, Transportation Design, UX Design, Human Interface Design, or related fields, with demonstrated skills in 2D sketching/rendering, 3D conceptual modeling, animation, and presentation visualization.
Strong, thoughtfully curated design portfolio demonstrating:
A customer‑centric approach to design, highlighting original, creative solutions that solve clearly articulated customer needs.
Design proposals that consider the full spectrum of user interactions, both physical and digital, across the vehicle and ecosystem.
A range of design, visualization, animation, and communication methods used to effectively communicate concepts across a variety of design challenges.
What Will Give You a Competitive Edge (Preferred Qualifications)
Proficiency in industrial design, preferably automotive, with strong 2D design sketching/rendering and 3D conceptual modeling skills in tools such as Alias or Blender.
Proficiency in concept animation using any combination of VRED, Blender, Twinmotion, Adobe After Effects, Cinema 4D, VIZCOM, or KeyShot.
Proficiency in PowerPoint for creating compelling, clear, and easily editable presentations that communicate complex design narratives.
This role leads the execution of GM’s cybersecurity strategy across manufacturing sites, driving risk reduction, control deployment, and network refreshes in close partnership with plant leadership, Manufacturing Engineering, plant IT, and Security Operations. The position is accountable for consistent, standardized implementation of cybersecurity controls that improve visibility and resilience while ensuring initiatives do not negatively impact safety, quality, or production. Reporting into Security Operations, this people-leadership role builds, leads, and develops a team of cybersecurity execution engineers on the manufacturing floor, translating enterprise cybersecurity strategy into repeatable, site-level execution and serving as the on-the-ground technical point of contact for plant cybersecurity priorities.
This position is ideal for a strong functional and technical analyst who can translate business needs into system requirements, lead cross-functional solution design, support implementations and releases, and drive continuous improvement across payroll applications and integrations.
Key Responsibilities
Partner with Payroll, HR, Finance, and IT stakeholders to gather, analyze, and document business requirements for payroll systems, processes, integrations, and reporting
Lead solution analysis for payroll enhancements, regulatory changes, defect remediation, and continuous improvement initiatives
Translate business requirements into functional specifications, process flows, user stories, test scenarios, and implementation plans
Support end-to-end delivery of payroll system changes, including requirements clarification, design reviews, testing coordination, release readiness, and production validation
Analyze upstream and downstream impacts across HR, timekeeping, benefits, finance, and data integration processes
Troubleshoot complex payroll system issues and coordinate resolution with internal technical teams, managed service partners, and software vendors
Support root cause analysis for production incidents and recurring defects; recommend preventive actions and durable fixes
Coordinate and execute system, integration, user acceptance, and regression testing for payroll-related changes
Ensure payroll solutions align with internal controls, audit requirements, security expectations, and compliance obligations
Maintain strong documentation for requirements, configurations, support procedures, decision logs, and release artifacts
Identify opportunities to simplify payroll processes, improve data quality, reduce manual effort, and enhance user experience
Serve as a knowledgeable point of contact for payroll technology capabilities, dependencies, and delivery planning
Provide mentoring and guidance to junior analysts and project team members as needed
Bachelor’s degree in Information Systems, Computer Science, Business, Human Resources, Finance, or a related field, or equivalent practical experience
Significant experience supporting payroll systems, enterprise HR technology, or related business applications
Strong experience in business and systems analysis, requirements gathering, process mapping, and solution documentation
Experience supporting system enhancements, production support, defect triage, testing, and release activities
Understanding of payroll business processes, controls, data dependencies, and compliance-sensitive workflows
Experience working with cross-functional stakeholders, including business teams, technical teams, vendors, and project leaders
Strong analytical, problem-solving, and issue-resolution skills
Demonstrated ability to manage multiple priorities and deliver high-quality work in a fast-paced environment
Strong written and verbal communication skills
Experience with enterprise payroll platforms such as Workday Payroll, ADP, UKG/Kronos, SAP Payroll, or equivalent systems
Experience with HRIS, timekeeping, benefits, finance, or middleware/integration platforms
ETL experience is a plus, including tools and technologies such as DataStage, Spark, and Python
Familiarity with incident management, change management, and release management practices
Experience with data analysis, reporting, and reconciliation in support of payroll operations
Knowledge of audit, compliance, and regulatory requirements affecting payroll technology
Experience operating in Agile, product, or hybrid delivery environments
Prior experience leading medium-to-large enhancement efforts or workstreams with limited oversight
At GM Design’s Global Design Center in Warren, Michigan, the Lead Architecture and Experience Designer will be at the heart of a highly creative, collaborative studio, leading innovative projects across GM’s global portfolio. In this role, you will drive the conceptualization, visualization, and development of corporate environments and branded experiences that are distinctly on-brand to GM. You will create design visions and lead the execution of spaces and their details—including interior architecture, finishes, furniture, fixtures, and environmental graphics—that showcase and reveal GM vehicles and products. You will work across exhibits, environments, and other immersive brand touchpoints that bring GM’s product and brand stories to life for employees, partners, and guests. This is a highly visible role with the opportunity to influence how GM shows up physically around the world.
What You’ll Do -
Lead the end-to-end conceptualization, visualization, and development of corporate environments and branded experiences that align with GM’s brand and product strategy.
Design spaces and spatial details—including interior architecture, finishes, furniture, fixtures, and environmental graphics—that showcase and reveal GM vehicles and products across global programs.
Partner closely with GM Design, Marketing, Facilities, Fabrication and Prototyping, and external suppliers/creative agencies to ensure cohesive, on-brand experiences.
Use 2D and 3D digital tools, physical models, mockups, and visualization technologies to explore, communicate, and refine design concepts.
Collaborate with product design, sculpting, engineering, and fabrication teams to integrate vehicles and products seamlessly into spatial experiences.
Oversee the execution of installations, tracking design intent through documentation, vendor coordination, and on-site reviews to deliver high-quality outcomes on time and on budget.
Manage multiple complex projects simultaneously, setting creative direction, guiding junior team members, and presenting concepts and recommendations to cross-functional and senior stakeholders.
Your Skills & Abilities (Required Qualifications)
(Bachelor’s degree in Architecture, Interior Design, Industrial Design, Environmental Design, or a closely related field; master’s degree preferred.
7+ years of professional experience in architecture, interior, experiential, or environmental design, with a strong portfolio of high-impact, built or realized work.
Demonstrated ability to translate brand and product strategy into compelling spatial experiences, ideally across multiple global markets.
Advanced proficiency in Adobe Creative Cloud (InDesign, Illustrator, Photoshop) for visualizations, storytelling, and executive-ready presentations.
Proficiency in 3D design and visualization tools such as Rhino and Enscape (or similar) for spatial concepting, real-time visualization, and design reviews.
Experience using AI-based tools for concept development, visualization, and animation to communicate design intent and accelerate iteration.
Proven ability to lead cross-functional teams and manage multiple complex projects from concept through execution in a fast-paced, highly creative environment.
Strong communication and presentation skills, with the ability to clearly articulate design intent and rationale to both creative and non-creative stakeholders.
This position is primarily on site at the Design Center in Warren, Michigan, with some flexibility under our Work Appropriately model.
Experience delivering large-scale corporate, museum, exhibition, or brand environment projects, ideally within automotive, mobility, or technology sectors.
Familiarity with fabrication methods, materials, lighting, and detailing for high-finish interior and experiential projects.
Experience with real-time engines (such as Unreal Engine or Unity) and motion/experience design for immersive storytelling.
Prior experience working within or alongside in-house brand, marketing, or product design teams.
Comfortable presenting to senior leaders and executive stakeholders, with a strong narrative and visual communication style that champions the work and the team.
REQUIREMENTS : Bachelor's degree in Computer Science, Computer Engineering, Mechanical Engineering, Electrical Engineering, or related field of study and Five (5) years of experience as an Application Software Architect, Assistant Manager or related occupation. OR Master’s degree in Computer Science, Computer Engineering, Mechanical Engineering, Electrical Engineering, or related field of study and Two (2) years of experience as an Application Software Architect, Assistant Manager or related occupation. Two (2) years of experience in the following: Software development process; C/C++ programming language; Embedded controls, software architectures, and design trade offs; Electrical systems, controls and component development and validation; Architecture design controller resource utilization reduction or training; Agile Environment; Software defined vehicle (SDV) Architecture; Safety critical embedded software development under ISO 26262; Control algorithm design for Vehicle Dynamics including steering, brakes or chassis systems; CAN and LIN serial communications; Design Failure Mode Engineering Analysis (DFMEA); and Commercial change management and version control tool.
#LI-DNI
]]>The Staff Product Cybersecurity Engineer, Offensive Product Security role sits within the broader Product Cybersecurity organization at General Motors and focuses on offensive security services that help strengthen confidence in the security of our product portfolio. Through penetration testing, red-team activity, and security research, this engineer helps identify meaningful weaknesses in software, systems, and product implementations across embedded vehicle software, mobile experiences, and product-backed software and services. This role works closely with product teams to assess real-world attack paths, validate risk, and provide actionable findings that help find areas to mature in our secure SDLC.
What You'll Do
Perform penetration testing across software, systems, and product environments
Conduct security research that targets meaningful product and technology risks
Execute offensive assessments across embedded, mobile, and backend environments
Identify vulnerabilities, validate impact, and provide clear remediation guidance
Partner with engineering teams to improve security through practical technical findings
Help strengthen offensive methods, tooling, and testing approaches across the portfolio
Your Skills & Abilities (Required Qualifications)
8+ years of experience in penetration testing, product security, security research, or similar roles
Deep expertise in offensive security testing across applications, software, and systems
Experience with penetration testing, red-team activity, vulnerability research, and exploit validation
Familiarity with embedded security, operating system security, application security, and networking
Able to read-and-write software in a variety of languages to support investigation and tooling
Strong ability to communicate technical findings and work directly with engineers on remediation
What Will Give You A Competitive Edge (Preferred Qualifications)
Prior role(s) in the automotive industry or a similarly complex, deadline driven, and regulated field
Direct experience working on automotive security in any relevant role across the secure SDLC
Published cybersecurity research projects (e.g. conference talks, blog posts, code repositories)
Experience building custom offensive tooling or extending existing security testing capabilities
What You'll Bring
Deep technical curiosity and strong offensive security instincts across complex product focuses
A rigorous and detail-oriented approach to technical investigation and exploit validation
Clear judgment on risk, exploitability, and practical impact across software and systems
The ability to work independently on complex technical problems and ambiguous attack surfaces
A commitment to helping engineers improve security through detailed, risk-ranked findings
#LI-SB3
]]>REQUIREMENTS : Bachelor's degree in Computer Engineering, Computer Science, Software Engineering, or related field of study and Eight (8) years of experience as a Software Engineer or related occupation OR alternatively, a Master's degree in Computer Engineering, Computer Science, Software Engineering, or related field of study and Six (6) years of experience as a Software Engineer or related occupation. Five (5) years of experience with: Backend programming languages including Java and Kotlin; and Building and operating distributed systems and microservices architectures. Four (4) years of experience with: RESTful APIs, asynchronous messaging, and event-driven systems; and Databases including relational and NoSQL, and data modeling. Three (3) years of experience with: Cloud platforms including AWS, Azure, and GCP, and containerized environments; CI/CD pipelines, automated testing, and deployment practices; and Security, authentication, and authorization concepts in backend systems.
Compensation:
• The expected base compensation for this role is $264,514.00 to $310,900.00 Annually.
• Actual base compensation within the identified range will vary based on factors relevant to the position.
• Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.
#LI-DN
]]>REQUIREMENTS: Bachelor's degree in Electrical Engineering, Mechanical Engineering, or related field of study and Five (5) years of experience as a Automation Project Engineer, Controls Lead, Senior Controls Engineer, Manufacturing Controls Engineer or related occupation. Requires five (5) years of experience with the following: Electrical and control systems; Mechanical concepts involving machine designs, process requirements involved in the manufacturing process; PLC and HMI programming, Ethernet and/or Devicenet networks; Servo motors, motion control and drives; Fanuc robots setup and programming; Design and trouble shoot electrical controls systems; and Siemens or Allen-Bradley.
#LI-DNI
]]>Hybrid: This role is categorized as hybrid. This means the successful candidate is expected to report to Austin TX IT Innovation Center or Warren Michigan GM Technical Center 3 days per week (T-W-Th)
The Role:
This Staff Software Engineer – Developer Experience role sits within the Developer Experience (DevEx) team at the intersection of DevEx, data, and business strategy . The team provides tools, platforms, metrics, and enablement programs that reduce friction for engineers, streamline software delivery workflows, and improve developer satisfaction and productivity across General Motors .
In this role, you will focus on Developer Productivity & Insights —defining how we measure and understand engineering effectiveness, partnering with platform and product teams to synthesize signals across SDLC systems, and translating those insights into clear narratives and recommendations for senior engineering leadership up to the CISO office. Rather than owning a single platform, you will drive change through influence: shaping our metrics strategy, defining and evolving golden paths , evaluating how AI is transforming developer workflows, and turning data into better tools, workflows, and outcomes for engineers.
The DevEx team exists to make life dramatically better for software engineers at GM. As a Staff Software Engineer, you’ll help lead the shift from a traditional IT model to an AI-native engineering organization —designing and building automation, golden paths, and AI-driven solutions that remove friction from developer workflows while mentoring and upskilling engineers across IT.
What you’ll do:
What you bring:
Qualifications:
What Will Give You A Competitive Edge (Preferred Qualifications):
Gm does not provide immigration-related sponsorship for this role. Do not apply for this role if you will need gm immigration sponsorship (e.g., h-1b, tn, stem opt, etc.) Now or in the future.
#LI-CK1
Every day, our products move millions of people as we aim to make driving safer, smarter, and more connected, shaping the future of transportation on a global scale.
The Role
The advancement of virtual tools has improved the way hardware and software can be optimized in vehicle design. As a Senior Virtual Hardware Model Engineer, you have the unique opportunity to shape GM's future by partnering cross functionally to develop models that unlock our ability to optimize design parameters within hardware components. In this role, you will lead development of select models in collaboration with suppliers, product development engineers, and other systems, software, and virtual teams.
What You’ll Do (Responsibilities)
Develop high-fidelity component plant models in MATLAB/Simulink that mathematically emulate the electrical, mechanical/physics, and software interfaces of GVHE hardware components.
Collaborate cross-functionally (Tech Specialists, DREs, VDDV, SIL, CoSim, suppliers) to understand hardware designs, control strategies, and boundary conditions, and translate them into clear modeling requirements.
Implement plant models in a form suitable for use in GM CoSim environments (e.g., FMU export), ensuring correct I/O definitions, signal naming, and execution behavior.
Use supplier specifications, design data, and physical test/bench/vehicle results to parameterize, correlate, and continuously improve model fidelity.
Support integration of component plant models into larger system and vehicle-level co-simulation environments, working closely with simulation integration and CoSim architecture teams.
Leverage plant models as virtual harness/component testers to confirm performance, run what-if studies, and explore fault and edge-case behavior before hardware is available.
Document modeling assumptions, limitations, calibration parameters, and validation results to enable reuse and traceability across programs.
Lead development and maintenance of model requirements documentation (Appendix C11, C12), with technical leadership in developing component plant model requirements, test needs, and deliverables are clearly specified and up to date.
Contribute to standard methods, libraries, and best practices for component plant modeling within GVHE, mentoring peers and helping scale the capability across programs
Own system-level modeling strategy across multiple components/domains (e.g., closures, thermal, chassis), including how component plant models roll up into integration/system models.
Define and drive standards and best practices for model architecture, naming, fidelity levels, correlation methods, and validation criteria across programs.
Lead model correlation and validation strategy: decide which tests/data are needed, set acceptance thresholds, and arbitrate trade-offs between fidelity and runtime.
Your Skills and Abilities (Required Qualifications)
Bachelor’s degree in Engineering, Math, Physics, Computer Science, or other relevant degree
Minimum 5 years of experience in product development, systems engineering, or work related to software/hardware connectivity. Preferred experience in translating physical phenomena into mathematical/Simulink models (electrical, mechanical, and software I/O).
Proficiency with Matlab/Simulink or similar software that uses code-based logic for model-based simulation.
Track record of delivering complex multi-domain models (coupled electrical–mechanical–software behavior) into SIL/HIL/CoSim workflows.
Strong communication and collaboration skills
Skilled and proficient with a variety of field’s concepts, practices, and procedures.
Extensive personal experience and discernment to plan and accomplish goals.
Ability to perform multiple tasks. Lead and likely direct the work of others. A wide degree of creativity and latitude is expected .
#LI-KM2
]]>The Role
The Marketing Applied Sciences (MAS) team develops analytics-driven solutions that help GM organizations achieve their business goals. As the Senior Strategist, CRM Analytics & Insights, you will lead the delivery of CRM analytics and insights for the OnStar brand, quantifying the impact of CRM activations and recommending opportunities for optimization.
You will bring strong expertise in CRM, digital analytics, and marketing technology to translate data into actionable marketing strategies and connect CRM analytics to cross-channel customer experiences. Working cross-functionally, you will deliver automated reporting, deep-dive analyses, customer profile insights, and closed-loop reporting that help the OnStar marketing team improve engagement, retention, and conversion.
What You’ll Do
Lead CRM analytics and insights delivery for OnStar, quantifying the impact of CRM activations and recommending optimization opportunities across the customer lifecycle.
Analyze CRM influence on lifecycle engagement, retention, and conversion, monitor campaign performance, and identify opportunities for improvement.
Elevate CRM findings into strategic, consultative recommendations and communicate complex analytical stories in ways that translate into measurable actions.
Build relationships with cross-functional stakeholders to identify and prioritize key marketing questions, establish measurement goals, and chart a path to activate those goals.
Oversee and support the development of brand strategists by reviewing stakeholder deliverables and providing actionable feedback.
Partner with data science, engineering, and Marketing Technology teams to define data requirements and ensure data quality, accuracy, and effective CRM measurement.
Connect data from email, app, website, and outbound marketing channels to deliver automated reporting, actionable insights, and closed-loop measurement.
Your Skills & Abilities (Required Qualifications)
Bachelor’s degree in Analytics, Data Science, Marketing, Business, Statistics, Applied Mathematics, or a related field.
At least 6 years of experience in owned media, web analytics, CRM analytics, customer lifecycle analytics, or a related discipline.
Deep understanding of CRM reporting and measurement frameworks.
Ability to integrate data and findings from multiple sources and present a holistic, actionable point of view.
Experience managing analytics projects, including project plans, timelines, ad hoc requests, and implementation of new analytics capabilities.
Advanced understanding of email service providers and associated optimization and analytical tools.
Strong understanding of marketing automation platforms and CRM systems.
Deep experience with data visualization tools such as Tableau or Power BI; analysis tools such as Excel, Databricks, or Snowflake; data-querying languages such as SQL, Python, or R; and marketing analytics platforms such as Adobe Experience Platform, Adobe Analytics, or Adobe Customer Journey Analytics.
Experience with statistical methods and experimentation techniques.
Experience developing structured and logical frameworks to define problems, analyze data, and derive insights and actionable recommendations.
Excellent written, verbal, presentation, and interpersonal skills, with the ability to make complex concepts understandable and actionable for technical and management audiences.
Demonstrated ability to work proactively and independently while guiding strategy and collaborating effectively with stakeholders.
What Will Give You A Competitive Edge (Preferred Qualifications)
Master’s or MBA degree in Analytics, Data Science, Econometrics, Statistics, Applied Mathematics, or another quantitative field.
Project Management Professional (PMP) certification.
Experience integrating CRM data across email, mobile applications, websites, and outbound marketing channels to support cross-channel measurement.
Experience partnering with data science, engineering, and Marketing Technology teams to implement new analytics capabilities.
The salary range for this role is ($106,600 - $163,400). The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.
Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.
Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.
The Role:
VMEC Chassis Controls is building next-generation suspension control systems from the ground up, bringing key capabilities in-house for the first time. We're looking for Senior Embedded Controls Software Engineers who want to be part of that from day one: writing hand-coded C, owning software end to end, and directly shaping how these systems perform across GM's vehicle portfolio.
This team operates with a startup mindset inside GM: fast-moving, highly collaborative, and comfortable working through ambiguity. The ideal candidate writes high-quality production embedded software, thrives in that environment, and is motivated by building something new. This role offers strong growth opportunities and long-term impact as the team matures and scales.
What you’ll Do:
Design, implement, and test embedded control software using hand-coded C (non-model-based, non-scripted)
Own software from architecture through implementation, testing, and release
Build and maintain robust unit and integration tests with strong traceability
Drive software quality, including maintainability, robustness, and MISRA compliance
Contribute to Agile development (story breakdown, reviews, demos, retrospectives)
Troubleshoot and resolve complex system-level issues
Influence technical decisions and drive continuous improvement
Mentor team members and promote best practices
Your Skills & Abilities (Required Qualifications):
Strong, current hands-on experience writing production code in C (non-scripting, non-model-based)
Ability to design, implement, and debug embedded software directly in C is required
Experience only interpreting auto-generated code (e.g., from MATLAB/Simulink) is not sufficient
5+ years of embedded software development experience
Experience with embedded systems testing (unit and integration)
Working knowledge of C++ and/or Python
Experience with version control (Git) and issue tracking tools (e.g., Jira)
Strong problem-solving and debugging skills
Ability to work effectively in environments with evolving requirements
Bachelor’s degree in Computer Engineering, Electrical Engineering, Computer Science, or related field
What Can Give You a Competitive Edge (Preferred Qualifications):
Experience in Chassis Controls, Vehicle Dynamics, Steering, Suspension, Brakes, or related mechatronic domains
Familiarity with MATLAB/Simulink (in addition to—not instead of—hand coding)
Experience with automotive standards, diagnostics, or calibration tools
Experience in agile software development
Advanced degree in a related field
Familiarity with Jira, Git/Github
Knowledge of BDD, TDD, diagnostics, calibration tools, and automotive development processes
Experience mentoring engineers and leading technical work
Position summary
The Data Collection Fleet Maintenance Planner is responsible for coordinating all planned and unplanned work required to maintain, repair, and retrofit data collection fleet vehicles across multiple locations. This role ensures maintenance activity is forecasted, prioritized, scheduled, and tracked in a way that supports fleet safety, vehicle readiness, uptime, and data collection goals.
Core responsibilities
Coordinate all work required to maintain fleet health across DCV and related fleet vehicles, including preventative maintenance, corrective repairs, retrofits, fleet-wide updates, and other readiness work.
Forecast, plan, schedule, and track planned and unplanned maintenance activity across multiple sites and markets.
Create, categorize, prioritize, and manage work orders to ensure work is clearly defined, visible to technicians, and completed through the proper workflow from scheduled to closure.
Coordinate retrofit execution across locations, including work order creation, site readiness, parts and tooling readiness, technician resourcing, and sequencing of vehicle downtime.
Balance work priorities across preventative maintenance, unplanned repairs, retrofit campaigns, and engineering-driven vehicle changes to maximize fleet uptime and operational readiness.
Ensure work is documented accurately and consistently so teams can track status, analyze trends, and improve execution quality over time.
Cross-functional coordination
This role must be able to coordinate priorities and execution tradeoffs with:
Vehicle technicians, who perform maintenance, repair, diagnostic, and retrofit work in the field and service locations.
Engineering and fleet reliability teams, to align on issue severity, support diagnostics, incorporate engineering insights, and drive systemic fixes that reduce repeat failures.
Operations teams, to balance maintenance downtime against deployment needs, route plans, and data collection targets.
Fleet management teams, to coordinate vehicle availability, movement, allocation, retrofit timing, and broader fleet readiness across locations.
Key deliverables
Maintenance schedules and work plans that support fleet uptime and readiness targets across sites.
Prioritized work orders with clear descriptions, urgency, facility assignment, and execution status tracking.
Retrofit coordination plans that align vehicles, technicians, parts, tooling, and site capacity across multiple locations.
Clear daily and weekly prioritization across technicians, engineering needs, fleet operations constraints, and maintenance capacity.
Preferred experience and capabilities
Experience in fleet maintenance planning, service operations, field coordination, or technical operations supporting vehicle fleets across multiple locations.
Strong ability to organize and prioritize a high volume of planned and unplanned work while maintaining clear communication with technicians and stakeholders.
Working knowledge of maintenance workflows, work order systems, retrofit execution, and the operational tradeoffs required to support uptime and data collection performance.
Ability to coordinate cross-functionally with technicians, engineering, operations, and fleet management teams to resolve blockers and keep work moving.
Strong attention to detail in documentation, status tracking, prioritization, and execution quality.
Success profile
Success in this role looks like maintenance and retrofit work being coordinated proactively, technician time being used efficiently, vehicles moving through service with minimal avoidable delay, and fleet uptime being protected while still meeting engineering, operations, and data collection priorities across all supported locations.
Compensation: The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of New York, Colorado, California, or Washington.
Benefits:
Relocation: This job may be eligible for relocation benefits.
Remote/Hybrid: This role is based remotely but if you live within a 50-mile radius of an office, you are expected to report to that location three times a week, at minimum.
About Us :
The AV Infrastructure org provides developer environments, cloud infrastructure, and ML/AI GPU platforms for AV research and development teams to build, test, and run faster in GM.
The Role :
GM is looking for a Senior Performance Engineer to join the AV Capacity and Performance Engineering team in the AV Infrastructure org to support our critical efforts in developing autonomous vehicles. The mission of the AVCPE team is to provide input into large scale ML infrastructure strategy, advise on key decisions affecting our cloud budget, identify and execute optimization projects, and provide capacity planning and engineering expertise to support GM’s efforts in developing autonomous vehicles (AV).
What you’ll be doing (Responsibilities)
Strategic Infrastructure Development: Adopt and run AV models to support GM’s long-term GPU system strategy and "evergreen" infrastructure roadmap.
Performance Optimization: Conduct deep-dive analyses of production workloads to identify bottlenecks and propose high-impact optimization strategies.
Cross-Functional Collaboration: Partner with AI/ML Research, Infrastructure Engineering, and Cloud Vendors to spearhead projects that enhance engineering velocity and cost-efficiency.
Proactive System Scaling: Identify opportunities for architectural improvements to ensure the scalability and reliability of large-scale ML training and inference environments.
Your skills & abilities (Required Qualifications)
Experience: 5+ years of professional experience in high-scale infrastructure or ML systems.
Education: Bachelor’s Degree in Computer Science, a related technical field, or equivalent practical experience.
Software Proficiency: Expert-level coding skills in Python and the ability to architect/debug within the PyTorch ecosystem.
Systems Engineering: Proven track record of resolving performance issues within large-scale distributed production environments.
Architectural Knowledge: Deep understanding of distributed systems, specifically modern ML system design and high-performance computing (HPC).
Containerization: Hands-on experience with Kubernetes for orchestrating complex workloads.
GPU Monitoring: Technical proficiency with Nvidia DCGM , nvidia-smi , and Grafana for real-time telemetry and observability.
Cloud Platforms: Extensive experience working within major cloud ecosystems ( AWS, GCP, or Azure ).
What will give you a competitive edge (Preferred Qualifications)
Advanced Experience: 8+ years of relevant industry experience.
Hardware Expertise: Working knowledge of Enterprise-grade Nvidia GPU architectures, including H100, B200, and GB200 .
Model Deployment: Experience deploying and scaling open-source models via the Hugging Face ecosystem.
Data Analytics: Proficiency in BigQuery for large-scale data analysis and reporting.
Profiling Tools: Practical experience utilizing Nvidia Nsight and Nsight Compute for kernel-level performance tuning.
Soft Skills: Strong technical communication skills with the ability to translate complex infrastructure needs into actionable business insights.
Hybrid: This role is categorized as Hybrid. This means the successful candidate is expected to report to Sunnyvale Technical Center at minimum three days per week or at the hiring manager’s discretion. Ability to sit remote in Seattle, WA until office opens.
Compensation: The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of New York, Colorado, California, or Washington.
The salary range for this role: is $144,700 to $261,300. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.
Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.
Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.
This role is categorized as on-site. The successful candidate is expected to report to the Advanced Technical Center full time.
The Role -
Do you enjoy creating unique and highly technical engineering solutions to address unusual challenges? Are you passionate about how a vehicle design develops into reality and where it all begins? The Studio Design Engineer (SDE) is responsible for integrating and balancing vehicle models with Design in partnership with Architecture, SMT, Performance, Human Factors and Manufacturing. We are at the early stages of the vehicle development process working at a systems level to integrate innovative technology and cutting-edge design. The optimal candidate has a passion for the automotive industry and can work objectively to balance the vehicle for the customer while working hard to enable design. A considerable amount of creativity and initiative are involved as well as a high level of independent judgment. 您是否喜欢创建独特且技术含量高的工程解决方案来应对不寻常的挑战？您是否对车辆设计如何发展为现实以及一切从何处开始充满热情？ 造型设计工程师（SDE）负责与架构、SMT、性能、人机工程和制造部门合作，将车辆模型与设计进行集成和平衡。我们正处于车辆开发过程的早期阶段，在系统层面开展工作，将创新技术和尖端设计相结合。最佳候选人需要对汽车行业充满热情，能够客观地为客户平衡车辆，同时努力实现设计意图。我们会涉及大量的创造力和主动性，以及高水平的独立判断。
The Role & What You’ll Do
Create & Provide to the Advanced Design teams initial vehicle layout proposals with coarse input from Advanced Planning, Design, and AVD Leadership. Including consideration of the competitive landscape as well as cost imperative considerations
Create and / or lead engineering, packaging, “what if” studies for next generation program and architecture development for the advanced studio
Delegate tasks and studies to Integration Design Engineers, Performance Engineers, and SMT Engineers as appropriate
Create and integrate initial architectural criteria section development, bodyside development, and architectural vehicle layouts into Advanced size and proportion and vision models as well as seating properties
Support technical development of design surface in both digital and full size/scale clay models as well as clinic properties and VR/MR mockups
Integrate regional/global requirements and develop alternatives to satisfy regional/brand needs
Participate in Engineering/Program Meetings, representing Design, Architecture, and Surface Integration, and lead the collaboration of other stakeholders as required to resolve issues
Resolve packaging issues such as interferences, space violations, and performance violations by creating alternative solutions while considering and protecting architectural bandwidths
Lead issue resolution and escalation, work close with JV partners PFI to VDR
Interface with the Advanced Vehicle Configuration and Feasibility teams as necessary
Represent brand-specific requirements and provide input in new architecture development
Support GVDP deliverables
Work with Studio Technical Lead to ensure Design strategies are understood and driven into the upfront proposals
Present engineering studies to senior level leadership
Your Skills & Abilities (Required Qualifications) :
Bachelor of Science Degree in Engineering
>7 years of combined architecture, vehicle attribute, exterior or interior or closure, surface integration, prefer experience working in a Design Studio environment
Extensive CAD (NX) capability
Demonstrated ability to prepare materials, presentations, and influence varying levels of cross-functional leadership appropriately
Ability to work under a tight, demanding schedule
High level of initiative and ability to work independently with little direction/supervision
Effective at influencing peers and indirect team members without direct control
What Will Give You a Competitive Edge (Preferred Qualifications)
Understanding of Studio deliverables within the GVDP process
Extensive knowledge of the global and local competitive vehicle landscape
Demonstrated ability to make vehicle level optimization decisions
Recognized expertise in design and engineering requirement balancing including Driver Accommodation, Access, Interior Spaciness, Vision, Storage requirements
Experience in the creation & comparisons of Pro-Dim’s & General Arrangement drawings
About Us :
The AV Infrastructure org provides developer environments, cloud infrastructure, and ML/AI GPU platforms for AV research and development teams to build, test, and run faster in GM.
The Role :
GM is looking for a Senior Capacity Engineer to join the AV Capacity and Performance Engineering team in the AV Infrastructure org to support our critical efforts in developing autonomous vehicles. The mission of the AVCPE team is to provide input into large scale ML infrastructure strategy, advise on key decisions affecting our cloud budget, identify and execute optimization projects, and provide capacity planning and engineering expertise to support GM’s efforts in developing autonomous vehicles (AV).
What you’ll be doing (Responsibilities)
Develop and refine technical models for capacity planning for GM’s AV infrastructure
Design and build automated analytical tools for monitoring capacity and demand signals
Partner with AI/ML engineering, infrastructure engineering, and cloud vendors to proactively identify and drive optimization projects to increase engineering and cost efficiencies
Your skills & abilities (Required Qualifications)
5+ years of relevant work experience
Bachelor's Degree in Computer science or related field or relevant work experience
Proficient in coding with Python (our preferred language)
Proficient in BI platforms
Experience with data modeling and working with SQL on large datasets such as BigQuery
Good understanding of distributed systems including modern ML system architecture and design
What will give you a competitive edge (Preferred Qualifications)
8+ years of relevant work experience
Proficient in coding with Pandas and NumPy
Proficient in Looker and BigQuery
Good communication skills
Experience executing cross functional projects
Experience with Git, Linux, and common Linux CLI tooling
Experience with analyzing billing and usage data in GCP
Experience with modern ML system architecture and design
Experience with forecasting capacity demand
Hybrid: This role is categorized as Hybrid. This means the successful candidate is expected to report to Sunnyvale Technical Center at minimum three days per week or at the hiring manager’s discretion. Ability to sit remote in Seattle, WA until office opens.
Compensation: The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of New York, Colorado, California, or Washington.
The salary range for this role: is $144,700 to $261,300. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.
Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.
Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.
Hybrid: This role is categorized as hybrid. This means the successful candidate is expected to report to Milford, Michigan three times per week, at minimum.
The Role:
Here at General Motors, we are looking for a hard-working person who enjoys taking on challenges and following through with robust solutions to join our Controls and Software team! Scrum Managers are the voice of the customer for the scrum team, responsible for managing the backlog of the scrum, connecting with customers to align on project goals, and guiding the scrum team through technical challenges with each project. This role requires a combination of technical knowledge and leadership. The selected candidates will need to bring excellent skills and capability in these areas in order to grow their scrum teams and take on challenging new projects.
These scrum teams are responsible for the analysis, design, coding, and testing of engine control features that cover the breadth of our technical portfolio. As the Scrum Manager, you will be challenged to lead the growth in capability of controls and diagnostic methods to keep General Motors at the forefront of technology in the Engine space.
What You'll Do:
Serve as Subject Matter Expert (SME) for scrum team’s product content.
Collaborate with the Scrum Leader to create a team culture that encourages a high degree of constructive collaboration, healthy relationships, and a shared accountability for delivering products with quality and per agreed upon timing commitments.
Create, refine, maintain and prioritize the team backlog.
Accept or reject the scrum team’s work results at each Sprint Review meeting.
Collaborate with the ART Program Management Team to refine the Program Vision, Roadmap and Program Backlog for the ART.
Collaborate with System Architect to determine enablers and coordinate rollout of enablers.
Coordinate dependencies with other Scrum Managers when deliverables are dependent on other teams for completion
Communicate cross functionally both internally and externally to gain alignment with stakeholders, customers, and development partners.
Be the customer voice to the Agile Team. Provide the team with clear information on whom the current and potential customers are, as well as the how, why, when, and with whom they use the product.
Ensure the technical integrity of the product is maintained and enables the solution to address program priorities by addressing anomalies and other quality concerns in a timely manner.
Ensure engineering records are complete and stored appropriately.
Translate product and feature strategy into User Stories, assisting Scrum Team with Story definition, estimation and sequencing for Program Increment Planning events.
Work day-to-day with the Scrum Teams clarifying requirements, constantly communicating and gaining alignment around Feature or Product Strategy.
Provide clearly defined acceptance criteria to enable Behavior Driven (BDD) and Test-Driven Development (TDD).
Provide guidance for System Demonstration Strategy during Story creation (unit, integration and system level test strategy).
Verify Stories are testable and can be used to generate testing objectives.
Ensure the technical integrity of the product is maintained and enable the solution to address program priorities (Features and Enablers), thoroughly addressing anomalies and other quality concerns in a timely manner.
Accept each story and participate in Team Demonstrations and Retrospectives to ensure quality, providing feedback to team and improving team processes.
Ensure that Stories meet their pre-determined acceptance criteria, have appropriate, persistent Acceptance tests, and otherwise comply with Definition of Done (DoD).
Participate in the following Team and Program Events: Program Increment Planning, Iteration Retrospectives, ART Inspection and Adapt sessions, ART Synchronizations.
Your Skills & Abilities (Required Qualifications):
Bachelor of Science degree in one of the following disciplines: Electrical Engineering, Mechanical Engineering, Computer Engineering, Chemical Engineering, Computer Science, Mathematics, or Physics.
5+ years of experience in controls system development. Including:
Control system integration and testing of hardware and software.
Controller hardware design and failure modes of electronic modules.
Vehicle electrical systems and serial data communications architectures.
System, software, and hardware requirements development and validation.
Change management
High level of analytical ability where problems are unusual and difficult.
Demonstrated proficiency in project management skills.
Experienced at planning, preparing for and leading meetings.
Effective interpersonal skills that focus and influence others, including those which may have priority differences with yours.
Understanding of Embedded Controls Development & Delivery Process.
Demonstrated ability to manage multiple complex projects and assignments with autonomy and accountability for results.
Proficient oral and written communication skills.
Outstanding interpersonal and relationship management skills to effectively collaborate with varying levels of the organization as needed.
Strong partnership and teamwork skills, with demonstrated ability to learn from and share knowledge with co-workers in a fast-paced environment.
High level of integrity, ability to deal with ambiguity, take initiative/self-directed
Consistent demonstration of innovative thinking that is customer-centric.
Experience with C/C++/Python and MATLAB/Simulink modeling.
What Will Give You A Competitive Edge (Preferred Qualifications):
Master’s degree in a field of Engineering, Mathematics, or Physics.
8+ years of experience in Engine or Transmission Controls and Software development.
Scaled Agile Framework (SAFe) training or certifications.
Experience in the GM component specification and release process.
Experience with customer interface technologies.
Knowledge of vehicle dynamics and electronic chassis systems.
Knowledge of OBD-II diagnostics.
Knowledge of automotive safety integrity levels (ASIL).
DFSS Black Belt certification.
Preferred Experience Includes:
Experience with planned maintenance systems and predictive technologies
Experience with industrial robotics, automation, and conveyance systems
Primary Responsibilities:
Follow established safety procedures according to OSHA standards and company procedures
Maintain, dismantle, repair, and replace mechanical and hydraulic components (e. g. bearings, seals, details, carriers, etc.) on industrial machinery such as shafting, motors, generators, air compressors, engines, pumps, cylinders, gears, couplings, linkages, ball screws, high speed CNC spindles, coolant systems and filters, and combustion equipment and valves
Layout, assemble, fabricate, maintain, and repair piping systems
Use various hand or power tools for measuring, cutting, threading, grooving, bending, soldering, assembling, joining, and installing pipes, valves, and fittings
Read and interpret blueprints for the mechanical operation and assembly of conveyor systems, material handling systems, robots, and other automation
Operate mobile equipment (e.g. forklifts, vertical lifts, cranes)
Determine loading requirements to rig equipment and material for lifting
Set up and operate conventional or computer numerically controlled (CNC) machine tools such as lathes, milling machines, and grinders to cut, bore, grind, or otherwise shape parts to prescribed dimensions and finishes
Fabricate punches, tools, steel rule tools and t-sets to exact specifications
Plan sequences of operations for fabricating tools or assemblies using blueprints, sketches, or models
Determine quality of finished products, ensuring defect-free parts, by verifying dimensions, alignment, and clearances for conformance to specifications using measuring instruments such as calipers, gauge blocks, micrometers, and dial indicators
Interested individuals must meet the following minimum qualifications:
At least six (6) years of related experience as a Millwright or a U.S. Department of Labor Certificate of Completion in the Millwright trade
Must be able to satisfactorily complete the General Motors hiring process requirements which includes comprehensive assessments, drug testing, and a background check
At least 18 years of age
Eligible to work in the United States
Must be willing to work flexible shift hours and day, afternoon, or night shift as well as overtime hours daily, weekends and holidays on those shifts with little notice
GM DOES NOT PROVIDE IMMIGRATION-RELATED SPONSORSHIP FOR THIS ROLE. DO NOT APPLY FOR THIS ROLE IF YOU NEED OR WILL NEED GM IMMIGRATION SPONSORSHIP TO WORK OR TO REMAIN EMPLOYED AT GM (e.g., H-1B, TN, STEM OPT, etc.).
If you are a current GM employee operating under a collective bargaining agreement, please contact your local HR/LR for employee placement opportunities.
This position may be filled with a Journeyperson or Journeyperson In Training, the compensation ranges for a JIT include ($37.64- 43.91) or Journeyperson rate of ($44.81). Certificates/credentials and scoring in interview will determine your status and pay.
Physical Requirements
Quick response to safety instructions, alarms, and signals are a must
Ability to work and stand for extended periods
Comfortably wear personal protective equipment
Navigate a busy environment
Bend, twist, kneel, crouch, and reach
May need to lift or carry materials weighing up to 50 lbs. depending on department
Occasional sitting during certain tasks
Drive mobile equipment when needed
General Motors UAW hourly employment offers a very competitive compensation and benefit package. An annual incentive payout is also available, as qualified.
Relocation and travel expenses will be the responsibility of the applicant.
Please note – per the labor agreement between GM and the UAW, GM may share information and documentation relating to the credentials of applicants for this position (e.g., resumes, journeyperson cards, interview notes, certificates, etc.) with UAW personnel who have a need to know as part of their role on the UAW skilled trades team.
]]>This posting is for an existing vacancy within the organization and is open to new applications.
AI Disclosure:
As part of the application process, Artificial Intelligence will be used in the hiring process for this role
Work Arrangement: This role is categorized as hybrid. This means the successful candidate is expected to report to the office three days per week, at minimum.
The Role
We are looking for a skilled Staff Embedded Software Developer with a deep understanding of distributed systems and fleet-scale device management to develop, optimize, and maintain our embedded control and data plane infrastructure. The ideal candidate will have a strong background in software development (C/C++), a passion for open-source technologies, and experience designing and operating data-intensive pipelines together with the configuration systems that manage them across a distributed device fleet
What You'll Do (Responsibilities)
Design, implement, and maintain the on-vehicle control plane that retrieves configuration from the cloud and applies it across the vehicle's ECUs.
Design, implement, and maintain the on-vehicle data plane that collects, processes, and forwards data from vehicle systems to cloud storage.
Optimize our control and data plane for reliable data egress and configuration delivery over intermittent connectivity, rapid convergence to new configuration, and a minimal CPU and memory footprint on the target ECU.
Integrate with cloud services such as Azure, AWS S3, and Firestore for configuration delivery, device state reporting, and data egress.
Collaborate with DevOps and Cloud teams to roll out new on-vehicle software and configuration safely.
Instrument our software with the observability needed to monitor the fleet, diagnose issues in production, and resolve them at the source.
Contribute to the open-source community by reporting issues, contributing to documentation, and submitting patches.
Drive the technical direction of how we manage thousands of vehicles from a single control plane, including configuration distribution, version management, device identity, and remote diagnostics.
Mentor junior and senior peers, and support team growth
Promote best practices within the software community Be an integral part of a dynamic, growing team, contributing positively to team culture and success
Your Skills & Abilities (Required Qualifications)
Bachelor's degree in Computer Science, Engineering, or a related field.
Proficiency in programming languages such as C, C++, and other related languages (8+ years of hands on development experience).
Experienced developing software for Linux, Android, and QNX platforms.
Solid understanding of distributed systems, configuration management, and large-scale data pipelines.
Experience designing, developing, or operating a control plane, fleet management system, or other large-scale distributed coordination service.
Familiarity with vehicle communication protocols (UDS, CAN, SOME/IP, XCP).
Familiarity with Autosar standards.
Experience in leading complex cross-organizational initiatives.
Expert in software development and optimization.
Strong problem-solving skills and the ability to troubleshoot complex issues in production environments.
Excellent communication skills and the ability to work effectively in a team environment.
Has delivered software in a production environment and supported it once in the field.
What Can Give You a Competitive Advantage (Preferred Qualifications)
Understanding of network communication and security protocols, including mTLS and certificate-based device identity.
Familiarity with cloud platforms (AWS, GCP, Azure) and their device management services (IoT Hub, IoT Core, Pub/Sub, or equivalent).
Familiarity with OpenTelemetry.
Experience building fleet management, OTA, or remote configuration systems, and contributions to Fluent Bit or other data-intensive open-source projects.
Experience working with Firestore.
Knowledge of security best practices for device provisioning, configuration delivery, and authentication of cloud-to-device traffic.
Experience with CI/CD pipelines and automation tools.
Compensation:
The salary range for this role is $147,000 to $196,600. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.
GM DOES NOT PROVIDE IMMIGRATION-RELATED SPONSORSHIP FOR THIS ROLE. DO NOT APPLY FOR THIS ROLE IF YOU WILL NEED GM IMMIGRATION SPONSORSHIP NOW OR IN THE FUTURE.
Benefits Overview:
The goal of the General Motors of Canada total rewards program is to support the health and well-being of you and your family. Our comprehensive compensation plan currently includes the following benefits, in addition to many others:
Paid time off including vacation days, holidays, and supplemental benefits for pregnancy, parental and adoption leave.
Healthcare, dental, and vision benefits.
Life insurance plans to cover you and your family.
Company and matching contributions to a Defined Contribution Pension plan to help you save for retirement.
GM Vehicle Purchase Plan for you and your family.
This posting is not for an existing vacancy within the organization and is open to new applications.
AI Disclosure:
As part of the application process, Artificial Intelligence will be used in the hiring process for this role
Work Arrangement: This role is categorized as hybrid. This means the successful candidate is expected to report to the office three days per week, at minimum.
The Role
We are seeking a highly motivated Software Developer to join our Diagnostic Software team in the Autonomous Vehicle Integrity Platform department. In this role, you will be responsible for designing, developing, and deploying diagnostic software applications using sound, industry standard methodologies. You will work with hands-on writing software or solutions, based on detailed requirements and system specifications. Additionally, you will work with development activities that will include updating existing software and/or developing new software solutions to address a specific need or solve a particular engineering problem. You will contribute to all development activities in accordance with appropriate methodologies and application of a repeatable, systematic, and quantifiable approach to the development process. You will develop your skill further by working closely with more senior developers to ensure code alignment with design patterns and frameworks.
What You'll Do (Responsibilities)
Own and develop diagnostic software solutions as part of a cross-functional team, contributing to current and future feature development
Collaborate with Diagnostic Architecture Engineers to refine requirements, participate in system design reviews, and drive software solutions primarily in C, with contributions in C++ as needed
Participate in software design activities and review low-level test cases
Perform software verification, including unit testing, simulation, and in-vehicle testing as required
Produce clear, thorough documentation in alignment with the established software development process
Work collaboratively with team members within an agile development environment
Take ownership of assigned tasks and ensure timely completion of design, testing, and implementation with a strong focus on quality
Contribute as an integral member of an energetic, high-performing team
Support occasional travel, averaging 1–2 weeks per year, including trips to the United States
Your Skills & Abilities (Required Qualifications):
Bachelor’s or Master’s degree in Electrical, Software, Mechatronics, or Computer Engineering, Computer Science, or a related field
3+ years of experience designing and developing software in C (experience with C++ is an asset)
Solid foundation in software development with hands-on experience in embedded software design and implementation using C (additional C++ experience preferred)
Working knowledge of vehicle diagnostics and in-vehicle serial communication (CAN, LIN, Ethernet)
Experience with AUTOSAR (including BSW and ARXML configuration) and diagnostic tools; familiarity with automotive safety standards such as ISO 26262 is preferred
Understanding of vehicle electrical architectures, systems, and applicable standards
Strong problem-solving skills with the ability to debug and troubleshoot software and system issues
Strong communication skills and the ability to work effectively in a collaborative team environment
Valid driver’s license
Participation in EcoCAR and/or AutoDrive Challenge competitions is preferred
Compensation:
The salary range for this role is $90,00 to $136,400. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.
GM DOES NOT PROVIDE IMMIGRATION-RELATED SPONSORSHIP FOR THIS ROLE. DO NOT APPLY FOR THIS ROLE IF YOU WILL NEED GM IMMIGRATION SPONSORSHIP NOW OR IN THE FUTURE.
Benefits Overview:
The goal of the General Motors of Canada total rewards program is to support the health and well-being of you and your family. Our comprehensive compensation plan currently includes the following benefits, in addition to many others:
Paid time off including vacation days, holidays, and supplemental benefits for pregnancy, parental and adoption leave.
Healthcare, dental, and vision benefits.
Life insurance plans to cover you and your family.
Company and matching contributions to a Defined Contribution Pension plan to help you save for retirement.
GM Vehicle Purchase Plan for you and your family.
This role is categorized as on-site. Successful candidates are expected to work full time from the GM China Advanced Technical Center in Shanghai, China.
GM China Design Studio is both a production design studio and an advanced design studio. We shape meaningful vehicle experiences for GM brands serving customers in China and global markets, connecting near-term production programs with forward-looking exploration.
We are committed to creating an exceptional design environment where creativity, beauty, craftsmanship, and storytelling can thrive. Our designers work across disciplines and cultures to translate customer understanding, brand identity, emerging technologies, and new forms of mobility into compelling color, material, finish, and sensory experiences.
This evergreen requisition is established for talent pipelining purposes. GM China Design Studio is building a long-term pipeline of exceptional CMF Designers in support of current and anticipated business needs.
We welcome applications from outstanding designers around the world who are interested in contributing to exciting production programs and advanced design work in our China studio. Depending on business needs and the candidate’s experience, future opportunities may involve different levels of project ownership, creative responsibility, technical depth, and collaboration with global teams.
When submitting your application, please include:
After your application is submitted, our recruiting and design teams will review your materials. If there is alignment with a current or future opportunity, a recruiter will contact you to discuss potential next steps. Because this is an evergreen requisition, the timing of contact may vary according to business needs and the fit between your experience and upcoming opportunities.
If you do not meet every element listed below but are interested in exploring an opportunity with GM China Design Studio, we still encourage you to apply. We value distinctive creative perspectives, strong design potential, and the ability to contribute to a collaborative studio environment.
CMF Designers in GM China Design Studio help shape the emotional, visual, and tactile experience of GM vehicles and advanced products for China and global markets. You may contribute across color, material, finish, graphics, trim, components, products, and other experiential or environmental design applications.
The role may span the complete CMF design process, from cultural and trend research, material innovation, and concept story creation through design development, supplier collaboration, color and material validation, production implementation, and final execution. You will work closely with interior, exterior, advanced design, UX/HMI, engineering, manufacturing, marketing, purchasing, suppliers, and global design studios to ensure that CMF solutions are distinctive, feasible, high quality, and aligned with design intent, cost, and timing.
Some opportunities may also involve customer-facing customization or dealership support, where you would help understand customer requirements and translate them into thoughtful and personalized CMF recommendations.
Your responsibilities may include the following, depending on your experience, assigned program, and business needs:
We welcome CMF designers with different career paths, backgrounds, and levels of experience. The following qualifications are intended to describe capabilities that may be relevant to these opportunities rather than serve as a checklist that every applicant must fully satisfy.
You will have the opportunity to work in a studio that connects advanced design exploration with real production impact. You will collaborate with colleagues across China and the global GM Design network, explore the future of materials and sensory experience, contribute to vehicles and advanced products for diverse customers, and help shape the next generation of automotive design through color, material, finish, creativity, beauty, technology, and storytelling.
We are interested in meeting exceptional CMF designers at different stages of their careers and from a range of related design disciplines. Your portfolio, perspective, and potential may align with an opportunity even if your experience does not map perfectly to every item in this description.
]]>
AI Disclosure:
As part of the application process, Artificial Intelligence will be used in the hiring process for this role
Hybrid:
This role is categorized as hybrid. This means the successful candidate is expected to report to Markham three times per week, at minimum [or other frequency dictated by the business].
This role is intended for a highly capable technical engineer who can define diagnostic requirements that will be translated into production-ready embedded controls for Driveline and Trailering Mechatronic systems within the Chassis domain. The position sits at the intersection of systems engineering, diagnostic architecture, embedded software, controller integration, and vehicle-level validation, with primary focus on diagnostic strategy, requirements, and architecture.
The ideal candidate is a systems-oriented diagnostic engineer with a strong understanding of embedded controls, vehicle diagnostics, and chassis mechatronic systems. Experience includes defining diagnostic requirements, fault detection strategies, DTC implementation requirements, fault maturation and recovery criteria, and diagnostic validation plans for production vehicle pro Experience defining diagnostic requirements, fault detection strategies, DTC implementation requirements, fault maturation and recovery criteria, recovery logic, and diagnostic validation plans for production vehicle programs. Strong collaboration across systems, software, controls, hardware, validation, and supplier teams is essential, along with the ability to translate vehicle- and feature-level requirements into robust diagnostic architectures that improve fault detection while minimizing false failures. Success in this role requires strong technical leadership, structured problem-solving, and the ability to drive diagnostic solutions from concept through vehicle launch, ensuring reliable operation, serviceability, and a consistent diagnostic approach across Driveline and Trailering systems.
Own diagnostic specification development for Driveline and Trailering mechatronic sub-systems, including DTC strategy, enable and inhibit conditions, set and recovery logic, customer notification strategy, remedial actions, and diagnostic data requirements such as freeze frame and Figure of Merit expectations.
Directly support software implementation across controller, subsystem, and vehicle levels, including software integration, anomaly resolution, and technical issue troubleshooting.
Drive robust diagnostic design reviews with internal GM stakeholders and suppliers, ensuring implementation meets GM requirements, passes software design review gates, and is approved for release.
Improve diagnostic robustness for edge cases such as environmental variation, part-to-part variation, startup and initialization behavior, hot starts, transient power behavior, and partial networking conditions.
Support common, standardized diagnostic architecture across Mechanical Driveline and Trailering controls, including creation and execution of diagnostic CGs, regression testing strategy, and diagnostic design governance.
Collaborate cross-functionally with systems, controls, calibration, software integration, validation, manufacturing, product, and supplier teams to deliver high-quality technical solutions in a SAFe / agile development environment.
Contribute technically to integrated chassis feature development where Driveline and Trailering capabilities intersect with braking, steering, suspension, propulsion torque management, and broader vehicle motion coordination.
Act as a senior technical contributor and domain leader, helping raise the organization’s capability in diagnostic specification and mechatronic systems understanding.
Bachelor’s degree in Electrical Engineering, Computer Engineering, Computer Science, Software Engineering, Mechatronics Engineering, Systems Engineering, or equivalent technical degree / experience.
5+ years of experience in embedded controls, systems engineering, diagnostics, software development, or a related automotive engineering discipline.
Experience defining diagnostic requirements, fault detection strategies, DTC implementation requirements, fault maturation and recovery criteria, recovery logic, and diagnostic validation plans for production vehicle programs
Strong working knowledge of safety-critical software development and engineering best practices consistent with ISO 26262.
Knowledge and familiarity with Mechatronic Infrastructure Systems such as Ethernet/CAN/LIN, Diagnostics, Programming, HWIO, Power Management, and Cybersecurity
Strong analytical and problem-solving ability with capability to resolve unusual and difficult technical problems and drive issues to closure.
Strong written and verbal communication skills, with ability to work effectively across internal GM teams and external supplier organizations.
Knowledge of software development lifecycle and testing methodologies.
Knowledge of DOORS/DNG, GIT environment(s); plant modeling and/or analysis tools.
Direct experience in Driveline and/or Trailering mechatronic systems, such as AWD, 4WD, eLSD, eLocker, Trailer Brake controls.
Experience working with supplier-developed software and diagnostics, including review, approval, integration, and issue resolution across GM and supplier interfaces.
Experience with SW specification, calibration, controller integration, and hands-on validation in bench and vehicle environments.
Knowledge of Agile/Scrum methodologies.
Familiarity with PHM, Figure of Merit concepts, early fleet diagnostic monitoring, and data-driven diagnostic health improvement methods.
Strong knowledge of CICD process pipeline like GitHub Actions and Jenkins.
Ability to collaborate with AI Agent
Understanding of software version control systems (e.g., Git).
Experience and exposure to root cause investigation strategies such as Fishbone, 5 Whys, Fault Tree Analysis, RedX, DFSS
Experience with test tools such as CANoe, Vehicle Spy, INCA, AutoVAL, Wire Shark, Lauderbauch T32, PCAP files.
Experience with one or more of the following is strongly desired: MATLAB, Simulink, GitHub, Python, INCA, Vehicle Spy, Jira, Optimus, CPPu, and MDK.
Serve as a recognized technical leader in diagnostic specification within the Driveline / Trailering mechatronics space.
Drive technical clarity across ambiguous, cross-functional problems and influence design direction without requiring close supervision.
Mentor fellow engineers in software fundamentals, diagnostics philosophy, and disciplined execution.
Help shape reusable standards, technical artifacts, and best practices that scale across chassis software programs.
This role directly supports GM’s move toward stronger in-house ownership of chassis supervisory controls and diagnostics, faster feature evolution, better software quality, and tighter integration across the vehicle.
It is also a key enabler for improving customer-facing quality, reducing false faults, preserving functional availability in degraded states, and creating differentiated Driveline and Trailering capabilities for future vehicle programs.
Compensation:
The salary range for this role is $115,000 to $164,600. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.
GM DOES NOT PROVIDE IMMIGRATION-RELATED SPONSORSHIP FOR THIS ROLE. DO NOT APPLY FOR THIS ROLE IF YOU WILL NEED GM IMMIGRATION SPONSORSHIP NOW OR IN THE FUTURE
Benefits:
The goal of the General Motors of Canada total rewards program is to support the health and well-being of you and your family. Our comprehensive compensation plan currently includes the following benefits, in addition to many others:
• Paid time off including vacation days, holidays, and supplemental benefits for pregnancy, parental and adoption leave.
• Healthcare, dental and vision benefits including health care spending account and wellness incentive.
• Life insurance plans to cover you and your family.
• Company and matching contributions to a Defined Contribution Pension plan to help you save for retirement.
• GM Vehicle Purchase Plan for you and your family.
If you are a current employee of General Motors working in a per diem, hourly, or regular salaried role, you must apply through the internal careers page. Please navigate to https://workday.gm.com and search for GM Find Jobs.
The General Motors Manufacturing Group is seeking to identify highly motivated and qualified individuals for current and potential future opportunities as a Group Leader. In anticipation of these openings becoming available, we welcome you to apply so we can begin the pre-screening and interview process.
Onsite: This role is categorized as onsite. This means the successful candidate is expected to report to Tonawanda, NY on a full-time basis.
The Role:
As a Group Leader in Production, Quality, or Global Supply Chain (GSC), you will be responsible for leading teams of employees or technical personnel to drive operational excellence across manufacturing processes. This includes managing daily operations, developing and improving business processes, and fostering a culture of teamwork and collaboration.
In this role, you may oversee production activities, quality assurance, inspection, problem-solving, and GM Built-in-Quality initiatives. You will be expected to apply independent judgment within the framework of Global Manufacturing Systems, with a strong focus on Safety, People, Quality, Responsiveness, Cost, and Environment (SPQRCE).
Selected candidates will gain the chance to develop new skills while contributing to the advancement of manufacturing processes that support the groundbreaking shift toward electric and autonomous vehicles.
What You'll Do (Responsibilities):
Analyze and respond promptly to the manufacturing daily plan, making necessary adjustments to operations as required
Manage multiple tasks in a fast-paced environment with competing priorities
Possess the experience to manage change and navigate ambiguity
Drive accountability through people and processes which may require difficult conversations
Specific physical requirements of the position include the ability to:
Work in a loud manufacturing environment that may not be climate controlled (conditions can be hot or cold)
Possess good physical stamina and coordination to frequently and repetitively:
Bend, twist, kneel, crouch and reach to perform work
Lift or carry materials weighing up to 15 lbs. and periodically carry or lift materials weighing up to 40 lbs.
Walk and stand for prolonged periods of time
Occasionally sit, climb (including ladders and lifts) and drive vehicles and equipment
Read standardized work instructions, operate machines and tools, and perform quality inspections
Promptly detect and respond to safety instructions, alarms, and signals
Wear personal protective equipment, for example: safety glasses, gloves, hats, ear plugs, and safety shoes
Your Skills and Abilities (Required Qualifications):
One year of direct supervisory experience or at least 5 months as an internal GM per diem group leader
Experience managing, leading people, and addressing performance concerns
Experience solving complex problems and working in a fast-paced environment
Strong interpersonal skills, experience managing conflict, and decision making
Demonstrate a high analytical ability to solve complex problems
Basic computer proficiency (i.e. Microsoft Word, typing, email etc.)
Must be willing to work weekends, overtime, and rotating shifts as required based on business needs
18 years of age or older
High School Diploma or equivalent
What Can Give You a Competitive Edge (Preferred Qualifications):
Knowledge of Continuous Improvement Processes (CIP)
Proficient in Throughput Improvement Process (TIP)
Advanced understanding of manufacturing and assembly processes
Experience supervising employees in a union environment
Supply Chain or Quality Experience
Experience implementing Built-in-Quality Initiatives
Red X & DFSS Certification
Lean Manufacturing experience
Knowledge of timekeeping systems
Compensation:
The expected base compensation for this role is: $68,900.00 - $105,700.00. Actual base compensation within the identified range will vary based on factors relevant to the position.
Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.
Benefits:
GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.
Hybrid: This role is categorized as hybrid. This means the successful candidate is expected to report to Milford, Michigan three times per week, at minimum.
The Role:
We are looking for a Software Integration Engineer (aka SWIM) to join our Vehicle Motion Embedded Control (VMEC) organization! The SWIM is a technical project leadership position where you will be responsible to plan, lead and execute software build content and timing for assigned software swimlane(s) for Hybrid Electric Vehicle propulsion controllers.
In addition, you would chair the Software Execution Team Meeting (SWET) with key partners to ensure all requirements and work are met on-time with "world's best" quality. Lastly, you will exercise technical direction over engineering support personnel both internally (GM) and externally (supplier) assigned to a given swimlane(s).
What You'll Do:
These responsibilities for the SWIM role are focused on new or very active controllers with a diverse scope of applications (EV/HEV/PHEV)
Lead the development of software content and timing for assigned releases on new or very active controllers
Document the information in the software delivery plan and communicate those plans to internal and external organizations
Lead project specific software verification and validation plans and document the information in software Analysis, Development and Validation (SW ADV) plan. Acquire approval of each plan from appropriate leadership
Provide direction and set priorities for software builds, testing, and validation
Ensure the Controls Process of Engineering (C-PoE) tasks are completed per program timing
Drive resolution of issues and obstacles and escalate as required
Actively manage controller resources (e.g., memory and CPU utilization) at each software release; escalate and engage SMEs for resolution as required
Foster & document best practices to ensure high quality work and reduce development lead time
Train, develop, mentor, and evaluate technical capability of team members
Your Skills & Abilities (Required Qualifications):
Bachelor's degree in one of the following: Mechanical Engineering, Electrical Engineering, Computer Science or equivalent
5+ years of experience in real-time embedded software system
Demonstrated technical project lead or project management experience
Direct hands-on experience in developing real-time controls software with programming (e.g., C/C++/JAVA/Assembly) and scripting languages (e.g., Perl/Python)
Understanding of operating systems (e.g., Unix, Linux, RTOS for embedded system) and instrumentation (e.g., INCA, in circuit emulators, dSpace)
Familiarity with configuration management systems (e.g., GiT) and build tools (e.g., Jenkins, Jira, eflow)
Demonstrated drive for results and teamwork in project execution
Demonstrated analytical ability where problems are unusual and difficult
What Will Give You A Competitive Edge (Preferred Qualifications):
Master's degree in one of the following: Mechanical Engineering, Electrical Engineering, Computer Science or equivalent.
8+ years of experience in real-time embedded software system
Experience with CI/CD pipelines
Certification in Agile specific roles
Familiarity with configuration management system and build tools
Production experience with automotive control systems specifically in propulsion
Knowledge of vehicle electrical architectures and communication networks
DFSS Black-Belt certification
If you are a current employee of General Motors working in a per diem, hourly, or regular salaried role, you must apply through the internal careers page. Please navigate to https://workday.gm.com and search for GM Find Jobs.
The General Motors Manufacturing Group is seeking to identify highly motivated and qualified individuals for current and potential future opportunities as a Group Leader. In anticipation of these openings becoming available, we welcome you to apply so we can begin the pre-screening and interview process.
The Role:
As a Group Leader in Production, Quality, or Global Supply Chain (GSC), you will be responsible for leading teams of employees or technical personnel to drive operational excellence across manufacturing processes. This includes managing daily operations, developing and improving business processes, and fostering a culture of teamwork and collaboration.
In this role, you may oversee production activities, quality assurance, inspection, problem-solving, and GM Built-in-Quality initiatives. You will be expected to apply independent judgment within the framework of Global Manufacturing Systems, with a strong focus on Safety, People, Quality, Responsiveness, Cost, and Environment (SPQRCE).
Selected candidates will gain the chance to develop new skills while contributing to the advancement of manufacturing processes that support the groundbreaking shift toward electric and autonomous vehicles.
What You'll Do (Responsibilities):
Analyze and respond promptly to the manufacturing daily plan, making necessary adjustments to operations as required
Manage multiple tasks in a fast-paced environment with competing priorities
Possess the experience to manage change and navigate ambiguity
Drive accountability through people and processes which may require difficult conversations
Specific physical requirements of the position include the ability to:
Work in a loud manufacturing environment that may not be climate controlled (conditions can be hot or cold)
Possess good physical stamina and coordination to frequently and repetitively:
Bend, twist, kneel, crouch and reach to perform work
Lift or carry materials weighing up to 15 lbs. and periodically carry or lift materials weighing up to 40 lbs.
Walk and stand for prolonged periods of time
Occasionally sit, climb (including ladders and lifts) and drive vehicles and equipment
Read standardized work instructions, operate machines and tools, and perform quality inspections
Promptly detect and respond to safety instructions, alarms, and signals
Wear personal protective equipment, for example: safety glasses, gloves, hats, ear plugs, and safety shoes
Your Skills and Abilities (Required Qualifications):
One year of direct supervisory experience or at least 5 months as an internal GM per diem group leader
Experience managing, leading people, and addressing performance concerns
Experience solving complex problems and working in a fast-paced environment
Strong interpersonal skills, experience managing conflict, and decision making
Demonstrate a high analytical ability to solve complex problems
Basic computer proficiency (i.e. Microsoft Word, typing, email etc.)
Must be willing to work rotating shifts
Must be available and willing to regularly work weekends to meet production demands, including approximately two weekends per month
18 years of age or older
High School Diploma or equivalent
What Can Give You a Competitive Edge (Preferred Qualifications):
Knowledge of Continuous Improvement Processes (CIP)
Proficient in Throughput Improvement Process (TIP)
Advanced understanding of manufacturing and assembly processes
Experience supervising employees in a union environment
Supply Chain or Quality Experience
Experience implementing Built-in-Quality Initiatives
Red X & DFSS Certification
Lean Manufacturing experience
Knowledge of timekeeping systems
Position mission:
Lead the transformation of the digital and omni-channel customer journey, leveraging analytics, AI, and LTV insights to improve conversion, customer experience, and commercial performance across retail, fleet, and aftersales.
Optimize digitally generated lead management by enhancing qualification, routing, follow-up, responsiveness, and recovery actions, while connecting Marketing, Analytics, and Field teams to drive consistent business results.
What you will do (responsabilities):
Identify process gaps and drive action plans across sales, fleet, and aftersales.
Develop playbooks, coaching guides, and management standards for dealers and field teams.
Translate AI and LTV opportunities into process improvements and pilot initiatives.
Optimize lead routing, prioritization, personalization, and recovery actions.
Enhance WhatsApp, CRM, and customer engagement processes with Marketing and DSX.
Scale GenAI-enabled tools and support the rollout of digital and AI-driven routines at dealer level.
Location: São Caetano do Sul/SP
Your skills and abilities (required qualifications):
Bachelor's degree
English proficiency (minimum advanced).
Experience with CRM, MarTech platforms, CDP, and customer journey management, driving lead generation, engagement, and conversion strategies.
Strong knowledge of digital funnel management, lead scoring, trigger-based journeys, personalization, and marketing automation.
Experience in campaign activation, data integration, performance measurement, A/B testing, and continuous optimization.
Analytical mindset with the ability to translate data and customer insights into actionable business recommendations.
Proven ability to work cross-functionally with Marketing, Sales, DSX, IT, and external partners to deliver business results.
Familiarity with AI-driven solutions, personalization strategies, and digital transformation initiatives.
Strategic thinker with a hands-on, structured, and execution-oriented approach, capable of driving projects from concept to implementation.
Previous experience in automotive, retail, or omnichannel environments is a plus.
What can you give a competitive edge (preferred qualifications):
Customer centricity/ Strategic thinking
Innovation/ Analytical rigor
Collaboration/ Influence
Agility/ Accountability/ Resilience
#LI-AS
]]>Every day, our products move millions of people as we aim to make driving safer, smarter, and more connected, shaping the future of transportation on a global scale.
The Role
We are seeking a Material Handling Automation Engineer to drive the deployment of next-generation automation across our manufacturing network. In this role, you will identify, design, and execute material handling automation solutions that reduce waste, improve safety, and increase operational efficiency. You will collaborate with cross-functional teams, strategic suppliers, and plant partners to implement technologies such as AMRs, AFTs, ASRS, and advanced kitting/sequencing systems from concept through launch. This role is ideal for a hands-on engineer who combines technical depth, strong planning, and cross-functional coordination to turn automation strategies into production-ready solutions.
What You'll Do (Responsibilities)
• Lead deployment of material handling automation technologies (AMRs, AFTs, ASRS, kitting/sequencing systems) from early concept through launch.
• Identify and evaluate automation opportunities in partnership with Automation Solutions and plant teams to reduce waste, indirect labor, and variability in material flow.
• Conduct labor studies using GMOS and analyze indirect material movement with Assembly Plant Industrial Engineers to quantify benefits and define automation scope.
• Determine unit counts and routing strategies for automation assets and commodities based on operational requirements, volume, and constraints.
• Develop and review layouts using simulation and layout tools to optimize material flow paths, buffer strategies, and equipment utilization.
• Collaborate with Simulation and Vertical Teams to validate concepts, run what‑if scenarios, and de‑risk execution prior to launch.
• Optimize end‑to‑end material flow through automation and contribute to future‑state process designs, roadmaps, and standards.
• Develop timing- and cost-conscious automation plans, including feasibility, phasing, and alignment with plant launch / shutdown windows.
• Partner with Material Execution Leads, Manufacturing Innovation, and Engineering Center Leads to drive continuous improvement and standardization.
• Engage with strategic suppliers and integrators to define requirements, review designs, and ensure on‑time, on‑budget execution.
• Support deployment issue resolution related to containerization, logistics, and GPSC interfaces to ensure robust material availability and flow.
• Support feasibility studies, cost-benefit analyses, and ROI modeling to prioritize automation investments and support business cases.
• Coordinate with internal stakeholders (Product Engineering, Manufacturing Operations, IT) to ensure seamless system and data integration.
• Support development and management of launch documentation including PMP plans, PCP assignments, JES/TIS revisions, and ULOC/DLOC and CMA coordination.
Your Skills and Abilities (Required Qualifications)
• 3+ years of experience in automotive manufacturing, automation deployment, or material flow / industrial engineering.
• Hands-on experience implementing or integrating at least one of the following:
– Autonomous Mobile Robots (AMRs) with fleet management systems.
– Automated Fork Trucks (AFTs) with safety‑rated navigation and control systems.
– Automated Storage and Retrieval Systems (ASRS) with warehouse control software.
• Proficiency with labor analysis tools (e.g., GMOS) to conduct indirect labor studies and quantify automation impact on material movement.
• Experience with layout and flow optimization tools (e.g., AutoCAD, Siemens Tecnomatix, FlexSim) for evaluating and redesigning material routes and storage strategies.
• Familiarity with PLC programming, robotic cell integration, and industrial communication protocols (e.g., OPC UA, Modbus, Ethernet/IP).
• Ability to develop and manage launch and process documentation, including PMP plans, PCP assignments, JES/TIS revisions, and ULOC/DLOC and CMA coordination.
• Strong analytical and problem‑solving skills for feasibility studies, cost-benefit analyses, and ROI modeling for automation projects.
• Demonstrated success working with cross-functional teams and supporting issue resolution involving containerization, logistics, and supplier partners.
• Bachelor’s degree in Mechanical Engineering, Industrial Engineering, Robotics, or a related technical field, or equivalent experience.
• Comfortable with 25–50% travel, including periodic on‑site support and collaboration with cross‑functional teams.
What Will Give You a Competitive Edge (Preferred Qualifications):
• Experience with digital twin modeling, simulation environments, or virtual commissioning of automation systems.
• Familiarity with Factory of the Future concepts, including AI‑driven material flow, predictive analytics, and smart warehousing.
• Background supporting launch planning in unionized manufacturing environments, including safety integration and ergonomic assessments.
• Knowledge of robotic and automation safety standards (e.g., ANSI/RIA R15.06, ISO 10218) for collaborative and autonomous systems.
• Experience collaborating with external automation vendors and integrators to co‑develop custom material handling solutions.
• Proficiency in data visualization tools (e.g., Power BI, Tableau) to track automation KPIs and present performance metrics to stakeholders.
• Demonstrated ability to thrive in fast‑paced, high‑variability manufacturing environments and contribute innovative, practical automation solutions.
#LI-MH1
]]>We are seeking an experienced and highly motivated Senior Software Engineer to design, build, and optimize the Mobile Backend for Frontend (MBFF) platform and back-office integration services that power GM mobile ownership experiences. This role will focus on building secure, scalable, and resilient microservices using Java and Spring Boot, while advancing modern engineering practices across API development, cloud-native operations, DevOps automation, and observability.
The ideal candidate brings strong technical depth in microservices, hands-on cloud engineering experience in Azure, and a practical understanding of how AI-enabled tools can improve engineering productivity and operational insight. This engineer will play a key role in delivering platform capabilities that improve reliability, accelerate delivery, and simplify how mobile applications integrate with GM enterprise systems.
Design, develop, and maintain scalable microservices, REST APIs, GraphQL APIs, and event-driven integrations using Java and Spring Boot.
Build secure, reliable, and performant backend services that support mobile application experiences and enterprise workflows.
Deploy and operate services on Azure using AKS, API Management, Functions, Cosmos DB, SQL Database, and related cloud-native services.
Strengthen DevOps practices by building and maintaining CI/CD pipelines, deployment automation, environment consistency, and release governance using Azure DevOps and Git-based workflows.
Improve system observability through metrics, logging, tracing, dashboards, alerting, and service health monitoring using tools such as Datadog, Grafana, Prometheus, Loki, and Azure Monitor.
Define, monitor, and continuously improve service reliability through meaningful SLOs, SLAs, and operational health indicators aligned to customer and business expectations.
Apply AI-enabled engineering practices to improve developer productivity, code quality, operational insight, anomaly detection, incident triage, and capacity awareness.
Use Test-Driven Development (TDD) and strong engineering fundamentals to deliver maintainable, well-tested software with robust unit, integration, and functional test coverage.
Partner with product, architecture, security, and dependent engineering teams to deliver solutions aligned to business and customer needs.
Mentor engineers on microservices design, API standards, testing strategy, observability, and DevOps best practices.
Contribute to architecture documentation, operational runbooks, API documentation, and engineering standards across the team.
Your Skills & Abilities (Required Qualifications)
Bachelor’s degree in Computer Science, Engineering, or related field, or equivalent practical experience.
5+ years of software engineering experience, including strong hands-on development in Java and Spring Boot.
Proven experience designing and building microservices and RESTful APIs in distributed systems.
Experience working with cloud platforms, preferably Azure, including containerized deployments and managed services.
Strong understanding of DevOps principles, CI/CD pipelines, infrastructure-aware development, and automated deployment practices.
Experience with Test-Driven Development (TDD), automated testing frameworks such as JUnit and Mockito, and modern software engineering best practices.
Strong experience with SQL databases such as Oracle or PostgreSQL.
Strong communication, collaboration, and problem-solving skills with the ability to work effectively across teams.
What Will Give You a Competitive Edge (Preferred Qualifications)
Experience with GraphQL, WebSockets, and event-driven or asynchronous architecture patterns.
Experience with NoSQL technologies such as Cosmos DB or Cassandra.
Hands-on experience with Azure services such as AKS, API Management, Functions, Cosmos DB, SQL Database, Azure Monitor, and Application Insights.
Exposure to Google Cloud Platform (GCP) is a plus.
Experience with observability tooling such as Datadog, Grafana, Prometheus, Loki, OpenTelemetry, or similar monitoring platforms.
Practical experience with Docker, Kubernetes, release automation, and production support in cloud-native environments.
Experience using AI-assisted development tools and applying AI-driven operational capabilities for log analysis, incident response, anomaly detection, or engineering productivity.
Knowledge of security best practices including OAuth2, JWT, secrets management, and API gateway patterns.
Familiarity with mobile backend workflows, enterprise integration patterns, and ownership experiences platforms.
Experience working in Agile product teams and mentoring engineers through design reviews, code reviews, and delivery execution.
Additional Information:
This job may be eligible for relocation benefits
“GM does not provide immigration-related sponsorship for this role. Do not apply for this role if you will need GM immigration sponsorship now or in the future. This includes direct company sponsorship, entry of GM as the immigration employer of record on a government form, and any work authorization requiring a written submission or other immigration support from the company (e.g., H1-B, OPT, STEM OPT, CPT, TN, J-1, etc.)”
]]>GM DOES NOT PROVIDE IMMIGRATION-RELATED SPONSORSHIP FOR THIS ROLE. DO NOT APPLY FOR THIS ROLE IF YOU WILL NEED GM IMMIGRATION SPONSORSHIP (e.g., H-1B, TN, STEM OPT, etc.) NOW OR IN THE FUTURE.
Onsite: This role is categorized as onsite. This means the successful candidate is expected to report to Orion, MI on a full-time basis.
The Role:
The Body Shop Maintenance Planner supports a technical maintenance team across multiple shifts, supporting operational readiness, equipment reliability, and strategic improvements. This role is responsible for coordinating skilled trades, managing change initiatives, and driving process improvements aligned with GM’s Business Plan Deployment (BPD) framework. The planner plays a key role in cross-functional collaboration, compliance, and continuous improvement.
What You'll Do:
As a Body Shop Maintenance Planner, you will support a team of skilled trades supervisors and technicians, supporting both day-to-day operations and long-term strategic initiatives. You’ll serve as a champion for safety, environmental compliance, and workplace standards, while driving uptime, efficiency, and labor utilization. This role requires strong leadership, technical expertise, and the ability to manage complex projects and cross-functional teams.
Work Schedule
Required Qualifications:
What Will Give You a Competitive Edge:
The Industrial Engineer - Indirect Materials will work directly with production, material, and cross-functional leadership to implement lean material systems that support safe, efficient, and cost-effective assembly operations. This role is responsible for optimizing material flow, material presentation, kitting, sequencing, storage, internal dunnage, and delivery methods to ensure the right part is delivered in the right quantity to the right place at the right time. Success in this role requires strong technical problem solving, the ability to work in a fast-paced manufacturing environment, and a passion for continuous improvement.
What You Will Do (Responsibilities)
Develop and implement lean material system strategies that improve material flow, reduce waste, and support overall plant safety, quality, and productivity objectives.
Define and optimize part presentation methods including direct-to-line, kitting, minomi, sequencing, bulk, and repack strategies based on plant and operational requirements.
Support Plan for Every Part (PFEP) development and lead station-by-station reviews to determine delivery methods, material handling requirements, and presentation devices for each operation.
Create and maintain accurate material flow data, part routings, and master part tracking documentation for future programs and steady-state operations.
Develop layouts and space utilization plans for lineside presentation, storage areas, kitting cells, repack areas, routes, and support equipment using CAD or similar visualization tools.
Lead or support launch execution activities for new programs, engineering changes, and material strategy implementation at the plant.
Drive labor optimization and productivity improvements through work measurement, indirect labor analysis, route planning, and standardized lean material handling practices.
Partner with production, supply chain, containerization, launch, and engineering teams to develop practical and scalable material delivery solutions.
Support continuous improvement activities by analyzing existing operations, identifying bottlenecks, and implementing countermeasures that improve throughput, cost, ergonomics, and operator efficiency.
Ensure material systems and workstation support designs align with safety, ergonomic, quality, and manufacturing requirements.
Coach and support plant teams in the adoption of standardized LMS processes, lean principles, and best practices.
Work as one team across all levels of the organization to drive accountability, execution, and results.
Your Skills & Abilities (Required Qualifications)
Bachelor's degree in engineering or related field, or equivalent experience.
1+ year of Industrial Engineering, Lean Material Strategies, supply chain, material operations, manufacturing, or continuous improvement experience.
Experience working in a manufacturing or assembly environment with a strong background in lean systems and process improvement.
Knowledge of material flow, kitting, sequencing, part presentation, routing, storage, and internal material handling systems.
Experience supporting PFEP development, standardized work, and launch or change management activities.
Working knowledge of work measurement, predetermined time studies, or labor analysis.
Strong analytical, problem-solving, communication, and interpersonal skills with the ability to work cross-functionally and independently.
Ability to work / rotate through all 3 shifts (1st, 2nd & 3rd).
Ability to work over-time, weekends, holidays, etc. as needed.
Self-motivated individual with a continuous improvement mindset.
Strong oral and written communication skills.
What Will Give You a Competitive Edge (Preferred Qualifications)
Experience with lean material systems in a high-volume assembly environment.
Experience with AutoCAD, Teamcenter Visualization, FactoryCAD, or similar layout and design tools.
Knowledge of warehouse management systems, material automation, or plant material technologies.
Understanding of ergonomic analysis, operator support systems, and workstation presentation design.
Project management and time management skills with the ability to manage multiple priorities in a dynamic environment.
Proficiency with Microsoft Office tools including Excel, Word, PowerPoint, and Project.
Ability to adapt to different interpersonal styles and communication methods.
Sponsorship:
GM DOES NOT PROVIDE IMMIGRATION-RELATED SPONSORSHIP FOR THIS ROLE. DO NOT APPLY FOR THIS ROLE IF YOU WILL NEED GM IMMIGRATION SPONSORSHIP NOW OR IN THE FUTURE. THIS INCLUDES DIRECT COMPANY SPONSORSHIP, ENTRY OF GM AS THE IMMIGRATION EMPLOYER OF RECORD ON A GOVERNMENT FORM, AND ANY WORK AUTHORIZATION REQUIRING A WRITTEN SUBMISSION OR OTHER IMMIGRATION SUPPORT FROM THE COMPANY (e.g., H-1B, OPT, STEM OPT, CPT, TN, J-1, etc.)
Please Note:
Onsite - This role is categorized as onsite. This means the successful candidate is expected to report to Lansing, MI on a full-time basis.
Relocation:
This job may be eligible for relocation benefits.
]]>Purpose
Position Tasks and Responsibilities
Knowledge:
Skills:
Experience/Education:
Competencies:
As a Manufacturing Engineer at Parma, you will play a critical role in advancing our maintenance systems to world-class standards through troubleshooting, root cause analysis, solution design, implementation, and optimization of press and automation systems that support stamping operations.
In this role, you will contribute to innovative manufacturing solutions that improve safety, quality, throughput, and reliability. You will be responsible for maintaining press systems in optimal operating condition, developing maintenance plans that define technical resources and spare parts requirements, identifying process improvement opportunities, and supporting the effective use of equipment, tooling, materials, and personnel.
This position requires sound technical judgment, hands-on problem-solving skills, and the ability to work across a broad range of mechanical and manufacturing systems. You will collaborate closely with engineering, suppliers, plant teams, and controls engineers. In addition to leading technical initiatives, you may provide directions to engineers, group leaders, and skilled trades to ensure work is performed safely, efficiently, and effectively.
What You’ll Do (Responsibilities)
Your Skills & Abilities (Required Qualifications)
What Will Give You a Competitive Edge (Preferred Qualifications)
Digital Key enables customers to use their phones and other devices to securely access and start their vehicles. These experiences rely on advanced Near-Field Communication (NFC), Bluetooth Low Energy (BLE) and Ultra-Wideband (UWB), technologies that must perform reliably in challenging automotive environments alongside Bluetooth, Wi-Fi, cellular, and GNSS systems.
As a Senior Hardware Engineer- NFC Digital Key , you will help architect, design, and validate the Wireless hardware that makes secure, precise Digital Key experiences possible for millions of vehicles and customers worldwide. You will work at the intersection of hardware, RF systems, security, and vehicle access, and you will collaborate with teams across GM and with leading silicon and module vendors.
The Team:
The Short Range Wireless Technology team develops and validates GM’s short-range wireless capabilities—particularly NFC, BLE, UWB, and Digital Key—covering RF architecture, hardware bring-up, antenna performance, coexistence, testing, and collaboration with software, cybersecurity, vehicle-access, and supplier teams.
The team is part of the broader Wireless Technology organization, which provides the wireless foundation for GM’s connectivity platforms, including cellular, Wi-Fi, Bluetooth, GNSS, Digital Key, and related networking services. The organization’s focus is delivering reliable, scalable connectivity across vehicle programs while enabling customer experiences including passive entry, phone-as-a-key, hotspot connectivity, projection, OnStar, remote commands, and OTA services.
The Role:
You will be a Senior Hardware Engineer focused on NFC subsystems used for Digital Key, including NFC readers, Secure Element and controllers. You will split your time between system-level architecture and requirements and hands-on lab work, including bring-up, measurements, coexistence testing, and debug.
You will partner closely with Vehicle Access and Digital Key, Connectivity, Cybersecurity, Antenna, Validation, Manufacturing, and suppliers to deliver robust solutions that can be reused across programs and platforms.
What You Will Do (Responsibilities):
NFC Hardware Architecture and Requirements
Hands-on NFC Design, Bring-up, and Validation
CCC Digital Key, Security, and System Alignment
Short Range Coexistence Leadership
Execution, Documentation, and Mentorship
Your Skills & Abilities (Required Qualifications):
What Will Give You A Competitive Edge (Preferred Qualifications):
Compensation:
The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of New York, Colorado, California, or Washington.
The expected base compensation for this role is: $125,200 - $193,000. Actual base compensation within the identified range will vary based on factors relevant to the position.
Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.
Benefits : GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.
#LI-DH
]]>Every day, our products move millions of people as we aim to make driving safer, smarter, and more connected, shaping the future of transportation on a global scale.
The Role
The Manufacturing Execution Engineer GA for ME Optimization is responsible for leading General Assembly manufacturing optimization projects across multiple assembly sites. You will collaborate with cross-functional teams across Manufacturing Engineering, Plant Production, Industrial Engineering, Quality, and Maintenance to design, build, and commission state-of-the-art automation in GM vehicle assembly plants. This role plays a key part in shaping how General Motors operates within General Assembly and advancing our journey toward the factory of the future.
You will be accountable for maximizing efficiency and reducing MCPU through effective utilization of personnel, materials, equipment, and facilities. Key deliverables include leading the coordination, planning, budgeting, development, and execution of GA optimization projects from ideation through installation, and creating efficient, lean processes that can be deployed across the GM enterprise. Work is performed in a centralized manufacturing engineering environment as well as in assembly plants, with a high level of independent judgment and interaction with all levels of the organization.
What You'll Do (Responsibilities)
Define all areas of change, including product and manufacturing requirements (tooling, automation, workstation layout, facilities, etc.).
Analyze and design efficient material flow and future-state material movement strategies.
Develop interfaces and work with cross-functional teams to define and deploy common tooling, processes, and standards across the department and enterprise.
Provide technical direction to, and oversight of, outside vendors and internal product/plant teams.
Lead the design, construction, integration, plant installation, launch, and continuous improvement of equipment and tools required to produce high-quality vehicles.
Lead coordination of automation projects, including all plant integration and pull-ahead activities with Continuous Improvement leads and Plant ME/IE teams.
Coordinate transparent, aligned project validation metrics driven by design capability and simulated site throughput standards.
Apply strong analytical and problem-solving skills to resolve complex, unusual issues in manufacturing and automation.
Utilize deep technical knowledge of automated processes to identify, evaluate, and implement optimization opportunities.
Conduct project plan reviews with local production management for future implementations, including understanding local contractual considerations.
Provide technical support and assistance to manufacturing and maintenance team members, production supervisors, and production associates.
Ensure projects meet financial and budget targets, tracking costs and savings against objectives.
Quickly interpret plant layouts and propose General Assembly automation concepts, tooling solutions, and integration approaches.
Maintain a strong understanding of Bill of Process (BOP) and Bill of Equipment (BOE) and their application in GA optimization.
Manage timing, resources, budget, lessons learned, performance scorecards, meeting minutes, and weekly one-page project status reports for all assigned projects.
Support vehicle performance integration, driving design solutions to integration issues impacting General Assembly.
Own engineering deliverable status for Program Execution Teams and Program Quality Readiness Reviews.
Provide engineering launch leadership, including on-site support at assembly plant launches.
Run vehicle and progress integration meetings, ensuring clear communication of status, risks, and actions.
Serve as the engineering interface to plant operations, including build support, issue resolution, Bill of Materials accuracy, and final vehicle completeness.
Your Skills and Abilities (Required Qualifications)
Bachelor’s degree in Mechanical Engineering or equivalent experience.
5+ years of manufacturing engineering experience.
3+ years of experience supporting manufacturing launches.
Demonstrated ability to work independently, make sound decisions, and drive timely escalations when required.
High level of collaboration and cross-functional skills to work effectively across plants and central teams.
Strong data management, analysis, presentation, and problem-solving skills applied to complex, unusual challenges.
Creative, action-oriented mindset with a track record of turning ideas into executed solutions.
High proficiency with Teamcenter, AutoDesk, and Microsoft Office tools (Excel, Visio, Project, PowerPoint).
Proven experience leading complex individual projects, including resource coordination, status reporting, and timeline tracking.
Deep technical knowledge and ability in process engineering disciplines.
Thorough knowledge of manufacturing processes, tooling, and equipment, including their relationship to the Global Launch Process and Vehicle Development Process.
Demonstrated ability to manage multiple complex projects with a high level of autonomy and accountability for results.
Proven project management capability, with the ability to mentor and coach others in project management best practices.
Strong influencing skills and the ability to act as a change agent across the organization.
Willingness and ability to travel up to 50% , within the U.S. and internationally, as required by project phases.
What Can Give You a Competitive Advantage (Preferred Qualifications)
Previous experience scoping, designing, integrating, and commissioning various levels of automation projects (including GA tooling and systems).
Experience working in a unionized manufacturing environment.
Advanced knowledge of manufacturing processes, tooling, and equipment, and how they interface with the Global Launch Process and Vehicle Development Process.
Knowledge and hands-on familiarity with general assembly tooling automation, concepts, and best practices.
#LI-MH1
]]> *Must be willing to work 1st or 2nd shift * We are seeking an Operations Supervisor in the warehouse distribution center to oversee daily operations, manage our represented workforce team, manage inventory, ensure quality control, and supervise the receiving of inbound shipments. This team member must be able to rotate into first and second shift, given the business needs. This leadership role requires ensuring compliance with safety regulations and maintaining the timeliness of shipments to our customers. The ideal candidate for this entry level position is professional, has managerial courage, willing to learn the business, a problem solver, and demonstrates integrity and ethical behavior.
Within this role the Operations Supervisor position is a leadership role that will be supported with on-the-job training, professional development and opportunities for career growth.
What You'll Do (Responsibilities):
Supervision and Leadership:
Your Skills & Abilities (Required Qualifications):
What Can Give You A Competitive Edge ( Preferred Qualifications):
The Role
As a Senior PBCA/SMT Site Operations Manager, you will be part of developing effective PCBA SMT Hubs supply to support our fast-growing electronics and software needs.
The ideal candidate will be responsible for overseeing the set-up as well as operating and maintaining Surface Mount Technology (SMT) production equipment to manufacture high‑quality printed circuit board assemblies. This role ensures consistent throughput, adherence to IPC standards, and continuous improvement of the SMT process. Additionally, this individual will be comfortable operating autonomously, solving problems independently, and prioritizing tasks that maximize enterprise value for General Motors and the Global Purchasing and Supply Chain (GPSC) function.
SMT Line Setup & Operation
Quality Assurance & Inspection
What You’ll Do
Your Skills & Abilities (Required Qualifications)
What Will Give You a Competitive Edge (Preferred Qualifications)
Compensation:
This job may be eligible for relocation benefits
GM does not provide immigration-related sponsorship for this role. Do not apply for this role if you will need GM immigration sponsorship now or in the future. This includes direct company sponsorship, entry of GM as the immigration employer of record on a government form, and any work authorization requiring a written submission or other immigration support from the company (e.g., H1-B, OPT, STEM OPT, CPT, TN, J-1, etc.)
]]>A posição:
Será responsável por liderar a estratégia e acelerar o crescimento dos canais digitais de Pós-Vendas da GM na região Sul do Brasil, fortalecendo a parceria com a rede de concessionárias e impulsionando a adoção das soluções de e-commerce de Peças e Acessórios.
Atuará como referência na transformação digital do negócio, promovendo o engajamento comercial da rede, identificando oportunidades de expansão e garantindo resultados sustentáveis para as operações digitais.
O que você irá fazer (responsabilidades):
Liderar o crescimento e a performance dos canais digitais e de e-Commerce de Peças e Acessórios da GM na região Sul.
Desenvolver parcerias estratégicas com a rede de concessionárias, impulsionando vendas e engajamento nos canais digitais.
Planejar e executar iniciativas comerciais para acelerar resultados e ampliar a presença digital da operação.
Conduzir treinamentos, apresentações de resultados e ações de desenvolvimento junto à rede.
Monitorar indicadores de performance, identificar oportunidades de melhoria e propor ações para crescimento do negócio.
Atuar em parceria com equipes multifuncionais para aprimorar soluções digitais e a experiência dos clientes.
Apoiar projetos regionais e iniciativas LATAM voltadas à transformação digital e expansão dos canais de vendas.
Localidade: São Caetano do Sul/SP
Suas habilidades e competências (qualificações obrigatórias):
Graduação em Administração, Marketing, Comunicação, Economia ou áreas correlatas. Pós-graduação ou MBA será considerado diferencial.
Experiência comprovada em e-commerce e/ou marketing digital, com vivência em gestão de canais digitais, plataformas de vendas online e relacionamento com redes de distribuição (concessionárias, revendas ou parceiros comerciais)
Inglês mínimo intermediário
Experiência em E-commerce e gestão de canais digitais
Habilidade com análise de dados de vendas e performance (Excel, Power BI ou similares)
Experiência com metodologia e gestão de projetos (ágil ou waterfall)
O que pode lhe dar um diferencial competitivo (qualificações desejáveis):
Espanhol intermediário/avançado será considerado diferencial relevante para colaboração com GTM Latam
Disponibilidade para viagens à rede de concessionárias na região Sul (frequência: mensal/bimestral)
Apresentações executivas e comunicação com liderança
Relacionamento e gestão de rede de concessionárias / parceiros comerciais
Conhecimento em mídia paga (SEM) e orgânica (SEO)
Ferramentas de CRM e gestão de relacionamento com dealer network
Experiência com mercado automotivo ou Pós-Vendas
#LI-AS
]]>GM continues to progress with the development and rollout of our all-
new Digital Retail Platform (DRP) that delivers an omni-channel learning, shopping, and buying experience on the brand.com and Dealer websites. The platform enables customers to buy or lease their next vehicle with a Dealer 100% online, 100% in-store or any point in between.
The DRP business team is seeking a Business Operations & Performance Manager to focus and deliver on two operational facets of the business. 1) Plan and run the business unit in conjunction with the Director – Digital Retail Platform (DRP) to drive and manage the effectiveness of our operation to best service our customers. This includes automotive consumers, GM Dealers and the Brands. 2) Lead analytics strategy, collaborating with key stakeholders and internal partners to analyze and optimize business performance of the platform and to drive effectiveness, utilization and business results while delivering a world-class Customer Experience. This includes three distinct areas of focus for the business: website metrics & analytics, testing and research.
You will play a critical role in managing the day-to-day operation and supporting your leaders to ultimately drive internal and external acceptance, advocacy and success of the platform for all customers. This position requires a customer-centric, digital and operations mindset, partnership with internal and external teams, automotive sales/retail and digital experience, and an understanding of GM department and Brand functions. The ideal candidate embodies GM’s Behaviors and can operate independently, effectively prioritize, manage change and ambiguity while dealing with the challenges associated with a new digital product and technology in a fast-paced environment while understanding the needs of the organization and Dealers.
What You’ll Do
Your Skills & Abilities (Required Qualifications)
What Can Give You a Competitive Advantage (Preferred Qualifications)
If you enjoy solving complex technical problems, working directly with manufacturing plants, and driving continuous improvement across global operations, we'd love to hear from you.
This Role Is Ideal For
Engineers with experience in manufacturing systems, vehicle calibration technologies, alignment systems, active safety systems, or end-of-line validation who enjoy solving complex technical challenges, supporting global manufacturing operations, and developing the next generation of vehicle production capabilities.
WHY
Ensure GM manufacturing plants can reliably validate, calibrate, and launch increasingly complex vehicle technologies by supporting end-of-line systems that directly impact vehicle quality, regulatory compliance, production performance, and customer satisfaction.
WHAT
As an End-of-Line Systems Engineer, you will support, troubleshoot, validate, and continuously improve manufacturing systems used for vehicle alignment, headlamp aim, active safety calibration, and emerging vehicle technologies. You will serve as a key technical resource for plants, helping resolve complex issues while supporting implementation of future manufacturing capabilities.
HOW
Partner with manufacturing plants, engineering teams, suppliers, and product development organizations to solve complex technical issues, deploy new technologies, and improve end-of-line system performance across GM's global manufacturing network.
Work Arrangement – Onsite
The successful candidate is expected to report to the Warren Tech Center on a full-time basis. This role requires up to 50% domestic and international travel.
What You'll Do (Responsibilities)
Your Skills and Abilities (Required Qualifications)
What Will Give You a Competitive Edge (Preferred Qualifications)
Every day, our products move millions of people as we work to make driving safer, smarter, and more connected—shaping the future of transportation on a global scale.
As a Quality Systems Manufacturing Engineering Execution Engineer, you will lead the deployment of advanced automated quality measurement systems across Body and General Assembly operations—from procurement and design through integration, installation, and commissioning.
You will serve as a technical and project execution leader, partnering with engineering teams, manufacturing plants, strategic suppliers, and other stakeholders to deliver innovative quality technologies that improve product quality, manufacturing performance, and operational excellence. You will also help advance the standardization, validation, and global deployment of next-generation quality systems.
Develop, manage, and execute project schedules for assigned quality systems projects and programs, ensuring milestones and deliverables are achieved on time.
Create Statements of Requirements (SORs) and manage procurement activities through ARIBA, including the creation and processing of shopping carts.
Lead technical, design, and project reviews with strategic suppliers, cross-functional stakeholders, plant operations teams, and Quality Systems personnel.
Direct the design, development, build, and integration of quality systems at strategic supplier locations.
Serve as the onsite project lead during assembly center implementation, installation, commissioning, and startup activities.
Maintain alignment with program launch timing, operational readiness objectives, and system requirements.
Monitor project progress, identify risks, and coordinate resolution efforts to support successful deployment and sustained system performance.
Build collaborative relationships with suppliers, manufacturing operations, engineering, and cross-functional teams.
Identify and champion opportunities to improve quality system performance, implementation processes, and operational efficiency.
Bachelor of Science degree in Engineering, Engineering Technology, or equivalent experience.
Three to five years of experience in Body Manufacturing, General Assembly Manufacturing, or related automotive manufacturing operations.
Demonstrated experience managing and executing projects with strategic suppliers.
Strong interpersonal, communication, stakeholder-management, and project-leadership skills.
Experience leading, motivating, and facilitating cross-functional teams and supplier partnerships.
Ability to prioritize multiple responsibilities and manage competing demands in a fast-paced, ambiguous environment.
Strong analytical and problem-solving skills, including root-cause analysis and evaluation of alternative solutions.
Demonstrated ability to drive results through collaboration, data-driven decision-making, and continuous improvement.
Self-motivated, proactive approach with a willingness to learn and adopt new technologies and processes.
Experience with advanced metrology systems, including optical and laser-based measurement technologies.
Strong understanding of Geometric Dimensioning and Tolerancing (GD&T), engineering drawings, dimensional requirements, and tolerance specifications.
Proficiency with Teamcenter, NX, and PolyWorks.
Hands-on experience deploying and integrating machine vision systems in automated manufacturing environments, including moving-conveyor applications.
Foundational knowledge of industrial networking, system communications, network architecture, connectivity, and troubleshooting.
Experience supporting system implementation, validation, continuous improvement, and operational excellence initiatives.
This is an onsite role based at the Warren Tech Center, strategic supplier locations, and assembly centers during installation, execution, and commissioning activities.
Travel of approximately 50% is required, depending on project deployment needs.
]]>The Infrastructure & Corporate Citizenship (ICC) function — comprised of Global Real Estate, Construction, Facility Operations, and Corporate Citizenship — is seeking a dynamic leader to serve as Construction Group Manager.
Reporting to the Director of Construction, this position will lead construction project delivery across GM’s Region 1 portfolio, including manufacturing and non-manufacturing sites. The role is responsible for leading a team of project managers and related resources to deliver complex capital, infrastructure, renovation, and workplace projects safely, on time, within budget, and in alignment with GM business priorities.
This leader will provide clear regional accountability, strengthen communication flow with site leadership and business partners, and help ensure projects are scoped, prioritized, and executed with discipline and consistency. The ideal candidate combines strong construction and capital project experience with people leadership, stakeholder management, sound business judgment, and the ability to operate effectively in a matrixed environment.
The Industrial Engineer is an experienced individual contributor who independently leads engineering activities supporting manufacturing operations and continuous improvement. This role applies sound technical judgment, analytical methods, lean manufacturing principles, and cross-functional leadership to improve safety, quality, delivery, productivity, cost, ergonomics, and operational consistency.
The engineer will serve as a technical resource for plant and manufacturing engineering teams, lead moderate-complexity projects, identify and resolve non-routine process issues, and recommend solutions that improve manufacturing systems and business performance.
What You’ll Do (Responsibilities):
Your Skills and Abilities (Required Qualifications):
What Will Give You a Competitive Edge (Preferred Qualifications):
Activities:
Required Qualifications:
Preferred:
Responsible for:
Supporting the release and validation of electrical components (wire harnesses) for regular production, ensuring all technical, manufacturing, quality, cost, weight, and validation requirements are achieved. The role serves as a key link between design engineering, manufacturing, suppliers, and quality teams to successfully release components into production.
Main Responsibilities and Activities:
Design, validation, and execution of assigned wire harness and cable assemblies, including all sub-components.
Design, integration of the assigned harnesses/cables within the vehicle architecture
Provide direction to UG Designers
Meet program deliverables and imperatives per the PDS PDT Key Task Scheduler.
Execute root cause and problem resolution of vehicle or component development or validation issues.
Understand Electrical Schematics and systems interaction to other devices trough ICDe process
Set priority and urgency for Engineering Change Requests, Problem Resolution, and Development / Validation Plans
Complete warranty reduction efforts on current product programs
Support all virtual and physical build events
Travel as required
Interface with Lead DRE and Technical Specialists on design direction
Leads discussions with program teams on design and execution in leadership forums
Provides complexity & cost reduction ideas as a direct interface with marketing, program management, purchasing and suppliers
Expected to optimize a comprehensive and detailed plan to validate the assigned component to its technical requirements.
Facilitates validation coordination with supplier validation representatives within the PDT meeting.
Track the execution of component hardware validation and facilitate approval with SMEs as needed
Documents test failures in PRTS
Ensures DV and PV are completed on time to the validation milestones
Ensures all test documentation is completed by Validation Documentation Complete milestone and completes validation action plan or 3660 in support of launch.
Required Qualifications:
Bachelor's degree in Mechanical Engineering, Electrical Engineering, Electronics Engineering, Aeronautical Engineering, or a related technical field.
Advanced English proficiency
0-3 years of professional experience in engineering or product development environments.
Knowledge of Finite Element Analysis (FEA) and engineering validation methodologies.
Understanding of 3D spatial design concepts and digital model interpretation.
Familiarity with manufacturing processes.
Strong analytical and problem-solving skills.
Ability to work effectively in cross-functional and global teams.
Preferred Qualifications
Experience with automotive component release and validation processes.
Experience collaborating with suppliers and cross-functional engineering teams.
Knowledge of component cost and mass optimization methodologies.
Experience supporting product development, validation, and launch activities.
Proficiency with NX CAD software.
Proficiency with Microsoft Office applications.
Familiarity with AI-enabled engineering or productivity tools.
Strong communication and collaboration skills.
Demonstrated creativity in problem-solving and engineering decision-making.
Adaptability and willingness to learn new technologies and processes.
In case you need any reasonable adjustment to continue with your process, let your recruiter know.
Remember to attach your CV when applying to this vacancy.
General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We respect and value what each individual contribution to our team, including their origin, education, sex, race, ethnic group, sexual orientation, gender expression and / or identity, religious context, age, generation, and disability. We believe that our ability to meet the needs and expectations of an increasingly diverse and global customer base is closely linked to the diversity and inclusion that we experience within General Motors.
The Senior Manager, Financial Communications - Technology and Innovation is fluent in financial communications and skilled at turning complex business and technology strategies into compelling narratives. They will be comfortable at the intersection of Wall Street and Silicon Valley, able to communicate GM’s work in areas such as AI, autonomous technology, robotics and automation, software and services, battery technology and advanced manufacturing.
Key Responsibilities:
Translate GM’s financial performance, guidance, capital allocation, and sales results into clear, compelling narratives that support valuation and multiple expansion.
Partner closely with Investor Relations, Finance, Sales, and Technology Communications leaders to shape messaging that connects GM’s financials to its long-term technology, software and services, EV and growth strategies.
Define and lead GM’s financial and technology communications strategy across earned, owned, shared and paid channels, establishing long-term narrative priorities, measurement frameworks, and data-driven communications approaches that maximize reach, engagement, and business impact with investor and financial audiences.
Lead the creation of high-impact content including press releases, digital media packages, executive speeches and talking points, thought leadership pieces, investor-focused explainers, social and video content, and narrative frameworks for key milestones (earnings, capital markets events, technology announcements, product launches).
Design and execute proactive business/financial media and influencer engagement strategies that position GM as a technology and innovation leader.
Establish and advance GM’s reputation as a leader in technology, innovation, and mobility among investors, analysts, financial media, technology media, and other influential market stakeholders.
Identify and cultivate relationships with influential voices in investing, markets, technology, EVs, AI and autonomous systems who can help broaden GM’s reach beyond traditional hedge fund audiences.
Ensure message discipline and alignment across all external touchpoints including earnings cycles, major product and technology announcements, capital markets days, investor conferences and executive appearances.
Coordinate closely with Corporate Communications, Investor Relations, Marketing, Legal and other internal stakeholders to ensure accuracy, alignment and compliance in all external communications.
Provide issues and reputation management support related to GM’s financial performance, capital allocation decisions, technology investments and competitive positioning.
Serve as a communications leader and subject matter expert, coaching team members and helping establish best practices in financial, technology, digital and data-driven communications across the organization.
Experience providing strategic counsel to executives.
Required Qualifications:
12+ years of experience in communications, public relations and/or investor relations, with a strong track record in financial and markets-focused storytelling.
Experience working with or inside large public companies, financial institutions, or leading agencies with significant investor, media or market visibility.
Deep fluency in financial communications, including earnings, guidance, capital allocation, key performance metrics, and market and competitive dynamics.
Proven experience communicating about technology-related topics such as AI, autonomous technology, robotics and automation, software and services, EVs and battery technology.
Proven experience engaging business, financial and/or technology media and influencers.
Demonstrated ability to craft clear, concise and compelling content and narratives for executive leaders, investors and media.
Expertise using modern digital tools and platforms for content creation, distribution and analytics.
Excellent writing and editing skills, with the ability to simplify complex topics without sacrificing accuracy.
Strong strategic thinking and business judgment, with the ability to connect financial results to broader business and technology strategies.
Comfort working in fast-paced, high-visibility environments with senior executives, handling sensitive information with discretion.
Preferred Qualifications:
Experience in investor-focused communications for a large public company, particularly in automotive, technology, mobility, energy, industrials or related sectors.
Background working closely with Investor Relations, equity analysts, portfolio managers and financial journalists.
Experience building and executing digital-first or social-led campaigns targeted at business, financial and investor audiences.
Prior experience working within or alongside large-scale transformation, turnaround, or growth narratives.
Bachelor’s degree in communications, journalism, public relations, business, finance or a related field; advanced degree preferred but not required.
Personal Attributes:
Strategic and analytical thinker who is motivated by impact on business and valuation outcomes.
Highly collaborative team player who can influence and align stakeholders across functions and levels.
Digitally native storyteller who is curious about new tools, platforms and formats and eager to experiment.
Comfortable working with data and insights to shape strategy, messages and content.
Confident, clear communicator with strong executive presence and the ability to counsel senior leaders.
Compensation:
The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws.
The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position, as well as geography of the selected candidate.
The salary range for this role is ($185,700 - $259,300). The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.
Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.
Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.
#LI-MO1
]]>This posting is not for an existing vacancy within the organization and is open to new applications. (New Head Count)
AI Disclosure:
As part of the application process, Artificial Intelligence will be used in the hiring process for this role.
Work Arrangement:
Hybrid: This role is categorized as hybrid. This means the successful candidate is expected to report to Markham Elevation Centre (MEC) three times per week at minimum, or other frequency dictated by the business.
The Role:
GM’s Mechatronic Infrastructure Diagnostic System team is offering you an opportunity to rapidly develop your technical and leadership skills to become tomorrow's most sought-after Diagnostic Professional.
We are seeking a motivated co-op student to support a digital modernization initiative focused on migrating diagnostic content, data, and collaboration solutions from Microsoft-based platforms to new platforms such as Google Workspace, Confluence, Jira, GitHub, etc…
What You'll Do
In this role, you will help convert Microsoft products into structured GitHub files, Markdown files, Confluence pages, and Goolgle Workspace equivalents. You will redevelop SharePoint websites using Google-based solutions and migrate SharePoint lists into appropriate destinations. You will use develop or use AI agents as a critical part of the migration workflow to accelerate analysis, transformation, documentation, and quality checks while applying sound judgment and validating all AI-generated results. This is an opportunity to gain practical experience in data transformation, information architecture, cloud collaboration platforms, automation, and responsible use of AI. Additional work initiatives will include innovating new test automation tools/scripts, automatically extract and link data from repositories, updating visualization boards, and more. Success will be measured by how much you bolster and improve the overall health of the enterprise diagnostic ecosystem.
Key Responsibilities:
Analyze existing Microsoft Workspace files, SharePoint websites, and SharePoint lists to understand their structure, content, relationships, and business purpose.
Define and apply mapping rules between Microsoft Workspace products and their Google Workspace equivalents.
Reproduce Microsoft-based documents, spreadsheets, presentations, forms, and collaboration content in Google Workspace where appropriate.
Redevelop SharePoint websites as equivalent Google-based sites while preserving usability, navigation, key content, and business requirements.
Convert SharePoint lists into suitable approved solutions such as Github, Jira, or other.
Identify content, fields, links, permissions, workflows, and dependencies that may require special handling during migration.
Develop repeatable processes, templates, scripts, AI-assisted workflows, or other automation to reduce manual conversion effort and improve consistency.
Ensure new data is accurate, consistent, and maintainable.
Use approved AI tools to assist with content analysis, field mapping, YAML generation, site and list conversion, documentation, and migration-quality reviews.
Validate migrated content through structured comparisons, data checks, usability reviews, and stakeholder feedback, including verification of AI-assisted outputs.
Document conversion procedures, assumptions, mapping decisions, known limitations, and recommended follow-up actions.
Collaborate with technical teams, business stakeholders, and subject-matter experts to clarify requirements and resolve migration issues.
Follow GitHub version-control practices, including branching, pull requests, reviews, and clear commit documentation.
Required Qualifications:
Currently pursuing a Bachelor’s degree in Computer Engineering or Computer Science, Electrical engineering, Mechatronics, Robotics, Software Engineering, Applied Science and Engineering, Mechanical Engineering or equivalent
Eligible to work full time hours, 40 hours a week for a term of 4 or 8 or 12 months (consecutive semesters) starting January 2027
Preferred Skills:
Familiarity with Microsoft Excel and Google Sheets, including tables, filters, formulas, and data organization.
Basic understanding of YAML, JSON, XML, or another structured data format.
Familiarity with Git and GitHub, including repositories, branches, commits, and pull requests.
Previous co-op or internship experience using AI tools as part of daily work, such as for research, data transformation, coding, documentation, analysis, or workflow automation.
Previous experience creating AI agents, including RAGs.
Ability to write clear prompts, evaluate AI-generated results, identify errors or unsupported assumptions, and apply human review before using outputs.
Previous experience with Python, Jira, Confluence, Markdown
Ability to understand existing information structures and translate them into clear, maintainable designs.
Strong written and verbal communication skills.
Ability to work independently, manage priorities, and ask effective questions when requirements are unclear.
Demonstrated excellence in oral and written communication skills.
Ability to ask questions, seek clarification, and challenge norms to rapidly overcome challenges.
Creative talent and effective use of drawing tools to create images, graphs, charts, etc., to convey messages.
NOTE- YOU MUST BE ENROLLED IN A CO-OP PROGRAM AND MEET THE PROGRAM’S ELIGIBILITY REQUIREMENTS. ALL STUDENTS MUST ALSO BE LEGALLY ENTITLED TO WORK IN CANADA.
The monthly salary range for this role is $4,264.00 to $4784.00. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.
Sponsorship : PLEASE ONLY APPLY IF YOU DO NOT NEED SPONSORSHIP TO WORK IN CANADA NOW OR IN THE FUTURE. WE ARE UNABLE TO CONSIDER CANDIDATES WHO REQUIRE SPONSORSHIP
Accommodation is available for applicants with disabilities. Should you be contacted by General Motors of Canada Company, please advise if you require accommodation.
For more information about GM Canada, visit our website at www.gm.ca/careers
General Motors of Canada values diversity and is an equal opportunity employer
The Environmental Operations Team consists of highly trained environmental professionals who serve as a first line resource for our manufacturing and non-manufacturing business partners. We are proficient at implementing robust environmental and sustainability practices into daily business decisions and operations in order to comply with applicable environmental laws and regulations while fostering community connection. We work collaboratively with our service suppliers, community partners, regulatory agencies, environmental consultants, and legal staff.
What You’ll Do:
At GM we are committed to creating places that people want to be. As an environmental engineering intern, you will work closely with the facility environmental engineer(s) developing an understanding of environmental compliance in automotive manufacturing and non-manufacturing operations. You will be a part of project implementation and continuous improvement of various water, waste, and air programs. We are committed to developing innovative solutions to various environmental challenges as we advance towards GM’s vision of Zero Crashes, Zero Emissions, and Zero Congestions.
How You’ll Make an Impact:
You will work cross functionally with diverse groups to create and implement best-in-class, sustainable solutions to improve environmental compliance and sustainability across the site.
Examples may include:
Supporting/implementing Zero Waste projects to drive GM’s vision of Zero, Zero, Zero
Assisting with compliance reporting (air, water, waste)
Conducting compliance inspections
Identifying/supporting process improvements to reduce environmental impacts of operational processes
Coordinating/assisting with wildlife habitat and community outreach projects
Possible Work Locations:
Warren, MI
Orion, MI
Rochester, NY
Grand Rapids, MI
Flint, MI
Detroit, MI
Charlotte, NC
Required Qualifications:
Pursuit of a bachelor’s degree in one of the following areas: Environmental Engineering, Environmental Health or Science, Chemical Engineering, or Sustainability
Must be graduating between December 2027 and May 2029
Able to work fulltime, 40 hours per week
Preferred Qualifications:
Outstanding interpersonal and relationship management skills with the ability to effectively collaborate with varying levels of the organization
Excellent written and verbal communication skills with the ability to impart complex subjects to a wider audience
Emerging partnership and collaboration skills and ability to learn from and share knowledge with co-workers in a fast-paced environment
High level of integrity, ability to deal with ambiguity, take initiative/self-directed
Evidence of strong character with integrity, honesty, accountability, and trust
Consistently demonstrates innovative thinking that is customer-centric
GM does not provide immigration-related sponsorship for this role. Do not apply for this role if you will need GM immigration sponsorship now or in the future. This includes direct company sponsorship, entry of GM as the immigration employer of record on a government form, and any work authorization requiring a written submission or other immigration support from the company (e.g., H1-B, OPT, STEM OPT, CPT, TN, J-1, etc.)
Work Arrangement :
Onsite: This role is categorized as onsite. This means the successful candidate is expected to report to their assigned work location on a full-time basis.
Each successful candidate will be offered an onsite role at a specific location. Candidate location preferences are considered but cannot be guaranteed.
GM will provide a one-time lump sum taxable stipend payment to eligible students selected for the 2027 Student Program - to help facilitate administration of relocation benefits, please apply using the permanent address you would move from.
Start dates for this internship role are May 24th & June 14th of 2027.
At GM, our culture is to have a "One Team" approach, where we collaborate cross functionally to achieve enterprise-wide results. This program will give you the opportunity to work with a diverse group of teams to accomplish our larger goals. In this role you will support and coordinate with multiple facets of the General Motors global portfolio by crafting and implementing timely business solutions. As a member of our team, you will play a key role in solving meaningful and important issues facing our company!
The Team:
Controllership, Audit, and/or Tax. Rotations will provide candidates with the work experience necessary towards acquiring a CPA license and may include consolidating and reporting company results, analyzing transactions for appropriate accounting treatment, and serving as a strategic business partner to increase transparency, improve efficiency, shorten decision cycle times, and reinforce financial integrity and accountability.
What You’ll Do:
The Finance - Accounting Analyst Rotational Program, consists of rotations within our Accounting Controllership organization. During your program you will develop broad financial and accounting skills producing the next generation of Finance and Accounting leaders at General Motors. As an analyst you will collaborate with GM’s globally diverse organizations to assemble data, perform analyses, and present recommendations to senior GM executives.
This is a rotational program that offers assignments in high visibility areas of our Controllership (Accounting) function. Analysts rotate on average every 12 months to different accounting functions. Upon completion of the program, you will work with our leaders to join our broader Controllership team.
Your rotation program typically consists of at least one (1) project requiring sophisticated data gathering, analytical capability, and presentation skills.
Required Qualifications:
Pursuit of a Bachelor’s or Master’s degree in one of the following areas: Business, Accounting, Finance, Economics, or related fields
Graduating with a Bachelor’s degree between December 2026 and June 2027 OR if you are currently pursuing your CPA: will complete a Bachelor’s degree + additional CPA required course work or Master’s degree (total 150 hours) between December 2026 and June 2027
Available to start full time in June 2027
What Will Give You a Competitive Edge (Preferred Qualifications):
Currently pursuing a CPA is preferred
Demonstrates leadership in field of study, extra-curricular activities, or service organizations
Strong Analytical Skills
Functional/Technical Skills
Problem Solving, Drive for Results, Decision Quality, Interpersonal Savvy, Strategic Agility, Managerial Courage and Innovative Thinking
Knowledge of corporate finance principles including ability to analyze balance sheets, incomes statement and cash flow and capital structure analysis, etc.
Familiarity with basic accounting principles or advanced accounting principles for Accounting roles
Sophisticated Excel skills and strong modeling and financial valuation skills
Teamwork and Leadership Skills
Can collaborate with a diverse team including cross-functional partners
Solves problems and develops new methods of analysis to streamline decision-making
Dives into data and corrects inconsistencies, finding and understanding root causes and drivers
High level of integrity, accountability, and trust with ability to deal with ambiguity and take initiative
Ability to prioritize, multi-task, and meet goals in a fast-paced environment
GM does not provide immigration-related sponsorship for this role. Do not apply for this role if you will need GM immigration sponsorship now or in the future. This includes direct company sponsorship, entry of GM as the immigration employer of record on a government form, and any work authorization requiring a written submission or other immigration support from the company (e.g., H1-B, OPT, STEM OPT, CPT, TN, J-1, etc.)
Work Arrangement :
Hybrid: This role is categorized as hybrid. This means the successful candidate is expected to report to Warren or Detroit, MI three times per week, at minimum.
To help facilitate administration of relocation benefits if you are selected, please apply using the permanent address you would move from.
Benefits:
GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.
This job may be eligible for relocation benefits
The Autonomous Vehicle Test Engineer (AVTE) is responsible for planning, executing, and reporting on autonomous vehicle testing activities across established and evolving test scenarios. The AVTE works closely with the AV Test Lead, Systems Engineering, vehicle integration engineers, software engineering, and cross‑functional teams to perform AV scenario testing, regression testing, and system validation. This role contributes technical support and hands‑on execution under the guidance of senior engineers and leads and is not expected to serve as a technical lead or mentor.
Key Responsibilities:
Execute defined AV test scenarios on vehicles, following safety procedures and ensuring data accuracy and alignment with program test objectives.
Triage and diagnose basic software and hardware issues, reproducing issues and escalating complex findings to developers, systems engineering, and vehicle integration for root‑cause analysis.
Analyze vehicle and autonomy data at a foundational level, transforming logs into clear observations and contributing to validation reports, defect tracking, and release‑readiness assessments.
Support the setup and use of test tools and logging systems, including Vector, Intrepid, INCA, d-Space, and other measurement/automation platforms.
Assist with cross‑functional test pipelines—tracking requests, test execution status, and progress updates in collaboration with software engineering, operations, and systems engineering.
Ensure test quality and documentation completeness by maintaining accurate test cases, results, and traceability in tools such as Jira, Confluence, and other test management platforms.
Execute verification tasks for new builds, validate integration points across the autonomy stack, and confirm performance against acceptance criteria with guidance from senior team members.
Contribute to continuous improvement by identifying opportunities to enhance test coverage, automation, data workflows, and operational efficiency, and by adopting best practices and standards.
Recommended Skills & Qualifications
Technical Skills:
Solid cross‑functional collaboration skills; able to work effectively with software and hardware teams.
Ability to follow and help develop detailed test plans and procedures; familiarity with writing test cases.
Working knowledge of integration processes, validation methods, and the Software Development Life Cycle (SDLC).
Fundamental troubleshooting, data analysis, and test result reporting skills.
Familiarity with test management and collaboration tools (e.g., Jira, Confluence, Slack).
Foundational understanding of automotive networks and protocols (CAN, Ethernet, LIN).
Basic understanding of vehicle/autonomy data and integration testing; ability to learn new tools and methods quickly.
Exposure to software integration and logging tools (Vector, Intrepid, INCA, dSpace) is preferred; willingness to upskill is expected.
Ability to assist in debugging software stacks and to partner with developers on issue resolution.
Knowledge of hardware/software interfaces and the autonomy software stack for assigned systems (introductory to intermediate level).
Familiarity with software release tools and environments (e.g., Jenkins, Artifactory, SPR, Linux).
Experience contributing to development from early build through launch (coursework, internships, or prior roles).
Preferred Qualifications:
testing AV systems/robotics ( or equivalent internships/co‑op/project experience)
Internship or project experience in vehicle or subsystem integration.
Exposure to software‑defined vehicle platforms.
Level 2 driving certification or ability to obtain.
Desired: Introductory programming skills in Python, Java, C++, or TypeScript/JavaScript.
Desired: Basic understanding of system software concepts (drivers, filesystems, sockets) on Linux and/or QNX.
Required:
2–4 years overall in automotive, consumer, or AV engineering experience
Bachelor’s degree in Engineering (Mechanical, Electrical, Computer, or related field) or equivalent practical experience.
Professional Skills:
Strong organization and prioritization for managing assigned test tasks and requests.
Clear, concise communication and effective collaboration with engineering, operations, and technician teams.
Proactive problem‑solving mindset and willingness to learn in evolving test scenarios.
High attention to detail and adherence to safety and compliance requirements.
Ability to operate effectively in a dynamic, fast‑paced environment with guidance from senior staff.
Compensation: The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance
with applicable state laws. The compensation may not be representative for positions located outside of New York, Colorado, California, or Washington.
The salary range for this role is $98,300 to $150,200. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.
Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.
Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and
accident benefits, life insurance, paid vacation & holidays, tuition assistance
programs, employee assistance program, GM vehicle discounts and more.
Work Arrangement:
This role is categorized as onsite. This means the successful candidate is expected to report to our Grand Rapids plant location
Sponsorship:
GM DOES NOT PROVIDE IMMIGRATION-RELATED SPONSORSHIP FOR THIS ROLE. DO NOT APPLY FOR THIS ROLE IF YOU WILL NEED GM IMMIGRATION SPONSORSHIP (e.g., H-1B, TN, STEM OPT, etc.) NOW OR IN THE FUTURE.
The Role
The Assistant Plant Manager provides strategic and operational leadership for Grand Rapids Operations, a complex, high-volume manufacturing facility supporting driveline and valvetrain components for the high revenue GM portfolio. The role partners closely with plant leadership, operations, quality, maintenance, engineering, safety, HR/LR, GSC, and union leadership to deliver safe, reliable, and competitive performance.
The Assistant Plant Manager translates plant objectives into disciplined daily execution, strengthens cross-shift communication, develops frontline leaders, removes operational barriers, and drives continuous improvement across the facility. Grand Rapids Components is a critical, vertically integrated operation with a broad product portfolio and significant manufacturing complexity, making this role essential to sustaining safe, reliable, and competitive plant performance.
What You’ll Do
Your Skills & Abilities (Required Qualifications)
What Will Give You A Competitive Edge (Preferred Qualifications)
Leadership Expectations
As an AI Engineer on the team, you will build and deploy applied AI/ML solutions that directly support simulation workflows, internal tools, and mission-critical engineering use cases. You will operate at the full spectrum of innovation—from early exploration and rapid prototyping to shipping robust, maintainable production systems.
You will collaborate closely with simulation, scenario-generation, data, and engineering teams to uncover opportunities where AI can create value —then deliver solutions that meet clear customer and business success criteria.
We are looking for a Staff AI Engineer with a strong applied research background. Ideal candidates have hands-on experience with state-of-the-art multimodal GenAI and/or 3D reconstruction models, and excel at building robust, high-performance inference pipelines. This role is not focused on training foundation models, but rather on fine‑tuning, adapting, optimizing, evaluating, and shipping them as production systems.
Minimum Qualifications
Master’s degree required, PhD preferred, in CS, Robotics, EE, or related fields.
8+ years of applied ML/AI engineering experience, with at least 3+ years delivering production AI systems at scale.
Deep knowledge of at least one modern multimodal or 3D computer vision pipeline (e.g., NeRF, Gaussian Splatting, world models, diffusion-based generation).
Hands-on experience building AI agents or tools and deploying machine learning models in production.
Strong programming skills in Python, along with experience using a modern ML/AI library such as PyTorch, TensorFlow, OpenAI APIs, HuggingFace, gsplat, etc.
Solid understanding of ML fundamentals including data preprocessing, training pipelines, evaluation metrics, and model performance optimization.
Ability to move fluidly between research exploration and practical engineering.
Demonstrated ability to lead projects end-to-end with minimal guidance.
Preferred Qualifications
Proven experience fine-tuning and optimizing foundation models (LLMs, VLMs, diffusion, 3D neural models).
Experience integrating models into simulation pipelines, robotics systems, mapping workflows, or AV perception stacks.
Experience with scene understanding, or computational geometry
Background in 3D geometry, graphics, or sensor modeling.
Proficiency with vector search/RAG systems and embedding pipelines.
Familiarity with GCP or other cloud platforms, Kubernetes, Docker, and production observability.
Prior experience mentoring teams, defining architecture, and leading multi-quarter technical initiatives.
Compensation:
Benefits:
Company Vehicle:
Upon successful completion of a motor vehicle report review, you will be eligible to participate in a company vehicle evaluation program, through which you will be assigned a General Motors vehicle to drive and evaluate. Note: program participants are required to purchase/lease a qualifying GM vehicle every four years unless one of a limited number of exceptions applies.
Remote:
This role is based remotely but if you live within a 50-mile radius of [Atlanta, Austin, Detroit, Warren, Milford or Mountain View/Sunnyvale], you are expected to report to that location three times a week, at minimum.
The Role
We're looking for a hands-on Senior Data Engineer to build the next generation of telematics data products that power analytics, artificial intelligence, and decision-making across the enterprise.
This role is about creating trusted, reusable, analytics-ready data products that make complex telemetry data easier to discover, understand, and use at scale. You'll help move the organization from custom analytics and duplicated logic toward standardized, reusable data products that deliver consistent value across teams.
You'll help define foundational datasets, shared metrics, and curated data products that enable teams across engineering, product, quality, safety, and operations to unlock the value of connected vehicle data.
Your work will help establish a trusted, common data foundation for connected vehicle insights. By replacing duplicated analytical logic with reusable, governed data products, you'll improve consistency, increase adoption, and accelerate analytics, machine learning, and AI use cases across the enterprise. You'll make complex telemetry data easier to discover, understand, and use—helping teams move faster from raw signals to confident decisions about product quality, vehicle performance, safety, and operations.
What You’ll Do
Your Skills & Abilities (Required Qualifications)
What Can Give You a Competitive Advantage (Preferred Qualifications)
This job may be eligible for relocation benefits.
Compensation:
GM DOES NOT PROVIDE IMMIGRATION-RELATED SPONSORSHIP FOR THIS ROLE. DO NOT APPLY FOR THIS ROLE IF YOU WILL NEED GM IMMIGRATION SPONSORSHIP NOW OR IN THE FUTURE. THIS INCLUDES DIRECT COMPANY SPONSORSHIP, ENTRY OF GM AS THE IMMIGRATION EMPLOYER OF RECORD ON A GOVERNMENT FORM, AND ANY WORK AUTHORIZATION REQUIRING A WRITTEN SUBMISSION OR OTHER IMMIGRATION SUPPORT FROM THE COMPANY (e.g., H-1B, OPT, STEM OPT, CPT, TN, J-1, etc.)
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]]>General Motors VMEC-EB (Vehicle Mechatronic Embedded Controls – Evolving Business) Electrification New Markets organization is seeking an Engineering Manager to lead calibration, simulation, and testing/validation activities supporting non-automotive and specialized automotive battery applications, as well as autonomous vehicle controls integration with vehicle motion control systems.
This role is responsible for building and developing a high-performing engineering team, defining calibration and validation strategies, and ensuring embedded software meets requirements for functionality, performance, safety, quality, and program readiness. The successful candidate will drive technical excellence, foster cross-functional collaboration, and help deliver innovative electrification and autonomous vehicle solutions. As a people leader, you will shape an inclusive, agile, and high-performing culture focused on safety, quality, innovation, execution, and customer value.
The Engineering Manager will partner closely with systems engineering, controls and software development, safety, integration, and program teams to identify technical risks, resolve complex system and integration challenges, and deliver robust, production-ready embedded software solutions.
Key Responsibilities:
Required Qualifications:
Preferred Qualifications
Company Vehicle: Upon successful completion of a motor vehicle report review, you will be eligible to participate in a company vehicle evaluation program, through which you will be assigned a General Motors vehicle to drive and evaluate. Note: program participants are required to purchase/lease a qualifying GM vehicle every four years unless one of a limited number of exceptions applies.
]]>Every day, our products move millions of people as we aim to make driving safer, smarter, and more connected, shaping the future of transportation on a global scale.
The Role
Are you passionate about building the digital backbone that enables world-class vehicle mass engineering? The GMNA Vehicle Mass Integration team is seeking a highly motivated Technical Specialist to serve as the Global Owner for Mass Systems and Tools — the expert who designs, develops, and sustains the engineering infrastructure that the Technical Integration Engineer (TIE) and Vehicle Performance Owner (VPO) rely on every day.
This role sits at the intersection of mass engineering, data systems, and emerging technology. You will be the go-to expert for the full portfolio of mass engineering tools — from critical enterprise systems like NGVMC and GPDS, to advanced modeling tools like THERA and the Mass Book Tool — while actively exploring how AI and automation can elevate the speed and accuracy of mass-related deliverables across the enterprise.
You will work directly in support of the Mass TIE (Technical Integration Engineer) and Mass VPO (Vehicle Performance Owner), enabling their processes with reliable, efficient, and innovative digital solutions.
Impact & Growth
As the Technical Specialist for Vehicle Mass Systems & Tools, you will have enterprise-wide influence — levering your own mass knowledge and the mass team’s most critical technical leaders (TIE and VPO) to directly develop the systems and tools they need to succeed. You will be at the leading edge of how GM integrates AI and automation into vehicle engineering, shaping what the future of mass engineering looks like at scale.
This role offers pathways toward Technical Fellow opportunities, broader GPEC systems leadership, or cross-functional IT/engineering integration roles.
What You’ll Do (Responsibilities):
Systems Ownership & Development
Serve as the Global Process and Systems Owner for the full mass engineering toolchain, including NGVMC, GPDS, THERA, the Mass Book Tool, and supporting macros and data pipelines.
Lead the creation, enhancement, and maintenance of digital tools and systems that support mass engineers globally throughout the GVDP (Global Vehicle Development Process).
Define requirements, develop solutions, and partner with IT to deliver system improvements aligned with evolving mass engineering needs.
Ensure data integrity, system reliability, and user accessibility across all mass-related platforms.
Support of TIE and VPO Processes
Partner directly with the Mass TIE (Technical Integration Engineer – AVD) and Mass VPO (Vehicle Performance Owner – Execution) and leverage own deep understanding of the mass role (from AVD to execution) to resolve process pain points and develop enabling tool solutions.
Innovate, design, execute and validate tools that support
Advanced Vehicle Development (AVD) mass target setting, regression modeling, and early-phase architecture decision-making.
Execution-phase mass tracking, Model & Option Weight (MOW) management, certification mass workflows, and compliance reporting.
Ensure the tools ecosystem seamlessly connects AVD and execution phases, enabling continuity of mass data and process from early program through production.
Provide analytical support to the TIE and VPO for data-driven decision making.
AI and Innovation
Actively explore and evaluate emerging technologies — including artificial intelligence, machine learning, and data analytics — to elevate the efficiency and accuracy of mass-related deliverables.
Lead proof-of-concept efforts for AI integration into mass workflows (regression model automation, and intelligent data validation, etc.) to improve efficiencies with accuracies.
Identify and implement automation opportunities that reduce manual burden on mass engineers.
Training, Process Documentation & Global Cross-functional Engagement
Create and maintain global training documents and process guides that support mass engineers in effectively using all mass systems and tools.
Serve as the escalation point for systems and tools questions from mass engineers globally.
Partner with global mass teams to understand regional needs and ensure tools are globally applicable and accessible.
Drive continuous improvement of the tools ecosystem through structured feedback loops, user testing, and DFSS-based process improvement.
Interface with IT partners, VDS/GPDS business owners, TACER, Emissions Certification, and Order Fulfillment to ensure mass systems are aligned with enterprise platform changes and roadmaps.
Actively monitor IT roadmaps (e.g., GPDS to NGVMC migration, cloud transitions) to proactively position mass tools for upcoming platform shifts.
Represent the mass tools portfolio in cross-functional forums and IT collaboration sessions.
Serve as a mentor/coach to more junior members of the team in tool development and maintenance to ensure a cohesive and robust approach
Your Skills & Abilities (Required Qualifications):
Bachelor of Science in Engineering, Computer Science, or a related technical field.
10+ years experience in a related engineering field
5+ years experience in modeling, developing and validating vehicle mass.
Proficiency in Visual Basic (VBA), SQL, Python, or other programming/scripting languages applied to engineering workflows.
Experience with AI, machine learning, or data analytics tools and their application to engineering processes.
Proficient with Product Program Content (PPC), Vehicle Description Summary (VDS), and Model & Option Weight (MOW) processes.
Experience with regression modeling for vehicle-level mass estimation.
High-level analytical ability with demonstrated experience solving complex, unusual, and ambiguous technical problems.
Experience in developing, maintaining, and improving engineering tools, macros, and data systems.
Strong oral and written communication skills with the ability to translate complex technical topics for diverse audiences.
Proven ability to work independently with a high degree of initiative, wide focus, and strategic judgment aligned with business needs/vision.
Comfortable dealing with and analyzing large quantities of data across multiple systems.
What Can Give You a Competitive Edge (Preferred Qualifications):
Master’s degree in Engineering or Computer Science.
Strong interpersonal and coaching skills with experience mentoring junior engineers on Mass systems and process topics.
Strong proficiency with NGVMC, GPDS, THERA, and/or the Mass Book Tool.
Company vehicle: Upon successful completion of a motor vehicle report review, you will be eligible to participate in a company vehicle evaluation program, though which you will be assigned a General Motors vehicle to drive and evaluate. Note: program participants are required to purchase/lease a qualifying GM vehicle every four years unless one of a limited number of exceptions applies.
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]]>The Role:
At General Motors we strive for a culture of excellence. We act with integrity. We are driven by ingenuity and innovation. We have the courage to do and say what is difficult. Each of us takes accountability for results, drives for continued efficiencies and has the tenacity to win.
We are seeking Manufacturing Mechanical Engineer Co-ops to do hands-on work that could add directly to the bottom line of our culture and our company. You will have many responsibilities and accountabilities, like mechanical support for programs. You will learn how to lead mechanical projects for several different areas of the plant including operations improvements and new and replacement programs. This is a hands-on position in which you may work with periodic repairs and to provide technical support and direction to support personnel/skilled trades.
What You’ll Do:
Mechanical root cause analysis and problem solving
Analyze product, process and technology to figure out the best methods of manufacture
Assist in the design and building of tools and equipment or recommends improvements to existing processes
Assist maintenance personnel in operation and maintenance of specialized equipment
Troubleshoot special maintenance and equipment problems
Coordinate machinery upgrade projects
Required Qualifications:
Pursuit of a Bachelor’s degree in one of the following areas: Mechanical Engineering/Mechanical Engineering Technology
Must be graduating between December 2027 and May 2030
Able to work full-time, 40 hours per week
Willing to work in a plant environment
Must be enrolled in a co-op program through Kettering University or Rochester Institute of Technology
Preferred Qualifications:
Outstanding interpersonal and relationship management skills to effectively collaborate with varying levels of the organization as needed
Demonstrates leadership in field of study, extra-curricular activities or service organizations
Strong critical thinking and analytical skills, especially the ability to synthesize large amounts of data involving multiple variables into comprehensive, applicable insights
Ability to work on multiple projects simultaneously, leading timelines and goals
Willingness to ask questions, take initiative and be resourceful and inventive
High level of integrity, ability to deal with ambiguity, takes initiative/self-directed
Deliver new and creative solutions to sophisticated problems
Specific physical requirements of the position include the ability to:
Walk and stand for prolonged periods of time.
Read standardized work instructions, operate machines and tools, and perform quality inspections.
Promptly detect and respond to safety instructions, alarms, and signals.
Wear personal protective equipment, for example: safety glasses, gloves, hats, ear plugs, and safety shoes.
Work in a loud manufacturing environment that is not climate controlled (conditions can be hot or cold).
Frequently and repetitively bend, twist, kneel, crouch and reach to perform work.
Lift or carry materials weighing up to 15 pounds and periodically carry or lift materials weighing up to 40 lbs.
Occasionally sit, climb (including ladders and lifts) and drive vehicles and equipment.
GM DOES NOT PROVIDE IMMIGRATION-RELATED SPONSORSHIP FOR THIS ROLE. DO NOT APPLY FOR THIS ROLE IF YOU WILL NEED GM IMMIGRATION SPONSORSHIP NOW OR IN THE FUTURE. THIS INCLUDES DIRECT COMPANY SPONSORSHIP, ENTRY OF GM AS THE IMMIGRATION EMPLOYER OF RECORD ON A GOVERNMENT FORM, AND ANY WORK AUTHORIZATION REQUIRING A WRITTEN SUBMISSION OR OTHER IMMIGRATION SUPPORT FROM THE COMPANY (e.g., H1-B, OPT, STEM OPT, CPT, TN, J-1, etc.)
Work Arrangement:
Onsite: This role is categorized as onsite. This means the successful candidate is expected to report to an assigned facility on a full-time basis.
Each successful candidate will be offered an onsite role at a specific location. Candidate location preferences are considered but cannot be guaranteed.
Job Location:
We have opportunities available in the locations below for this role. Please indicate in your application which of these locations you are interested in.
Arlington, TX
Detroit, MI
Flint, MI
Lansing, MI
Orion, MI
Rochester, NY
Romulus, MI
Saginaw, MI
Tonawanda, NY
GM will provide a one-time lump sum taxable stipend payment to eligible students selected for the 2027 Student Program – to help facilitate administration of relocation benefits, please apply using the permanent address you would move from.
General Motors is developing hands-off and eyes-off autonomous driving systems intended for broad deployment across consumer vehicles. A foundational requirement for safe, scalable autonomy is that sensing systems perform reliably across the full range of real-world weather conditions.
We are seeking a Staff Systems Engineer to join the Sensor Systems Engineering & Architecture team to provide technical leadership in defining how autonomous sensing systems are characterized, specified, and validated under weather and contamination conditions. This role focuses on system-level decisions at the intersection of sensors, perception software, vehicle platforms, and real-world operating environments — ensuring that sensing solutions are technically sound, weather-resilient, and executable in production.
In this position, you will lead system-level trade studies, define performance requirements for sensors under adverse weather and contamination scenarios, and develop the technical frameworks used to assess sensor cleaning solutions. You will work closely with perception, validation, platform software, and vehicle integration teams to drive forward a rigorous and scalable approach to weather and cleaning performance assessment. This role is intended for engineers who are comfortable operating in ambiguity, applying first-principles analysis, and providing steady technical direction as systems mature from early development into deployed solutions.
What You’ll Do
You will get the opportunity to contribute to one or more of the following.
Lead system-level trades, requirements decomposition, and integration requirements for autonomous sensor systems across radar, cameras, and lidar with associated cleaning systems
Lead the technical assessment, characterization, and performance benchmarking of sensor systems — including active and passive cleaning mechanisms — across vehicle programs
Translate autonomy and product performance intent into system architectures, functional decompositions, and requirements
Work closely with software platform teams, vehicle integration, hardware teams, perception, and validation teams to manage complex interdependencies and drive forward progress
Ensure system designs meet safety, regulatory, quality, and performance requirements relevant to autonomous vehicle operation in diverse environmental conditions
Drive continuous improvement in sensing system robustness
Clearly document technical decisions, trade-offs, and deliverables.
Your Skills & Abilities (Required Qualifications)
Bachelor's degree in Systems, Electrical, Software, Mechanical Engineering, or a related technical field
10+ years of experience in systems engineering, system integration, or hardware-intensive product development
Experience working with sensing systems (camera, radar, lidar, or similar) and a technical understanding of the effects of weather and contamination on performance
Experience leading cross-domain technical initiatives for the evaluation and validation of sensor performance
Expertise in requirements decomposition and development
Demonstrated ability to operate effectively in ambiguous problem spaces and drive technical alignment across teams
Experience with Matlab, Python, or other tools to support data analysis and analysis tooling development
What Will Give You a Competitive Edge (Preferred Qualifications)
Master's degree or PhD in Engineering or a related technical discipline
Direct experience characterizing or modeling sensor performance degradation in adverse weather conditions (rain, snow, fog, aerosol, or equivalent) for high-fidelity sensors
Familiarity with weather simulation methodologies, physics-based sensor modeling, or environmental test chamber evaluation
Experience with sensor cleaning systems, including nozzle, air, wiper, or other advanced methods
Experience working on L4 (or equivalent) autonomous vehicle programs or advanced remote sensing platforms
Experience with requirements management tools such as JAMA or DNG
Knowledge of safety-critical system development or functional safety concepts
Experience with system/component validation including vehicle testing, HIL/SIL, simulation, and large-scale data analysis
Compensation: The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of New York, Colorado, California, or Washington.
Benefits:
Relocation: This job may be eligible for relocation benefits.
Remote/Hybrid: This role is based hybrid from Sunnyvale,CA. You are expected to report to that location three times a week, at minimum.
General Motors has needs for qualified Industrial Electrician Journeypersons. Working under minimal supervision, the skilled trades Electrician Journeyperson is responsible for layout, installation, repair and preventative maintenance of complicated electrical equipment and circuits, troubleshooting and technical expertise on control systems.
Primary Responsibilities:
Interested individuals must meet the following minimum qualifications:
General Motors UAW hourly employment offers a very competitive compensation and benefit package. An annual incentive payout is also available, as qualified.
Relocation and travel expenses will be the responsibility of the applicant.
El Especialista en Estrategia Comercial es responsable de liderar de manera autónoma el análisis y la ejecución de la estrategia de posicionamiento de cada uno de nuestros vehículos para alcanzar los objetivos establecidos, buscando oportunidades para mejorar los resultados comerciales y financieros
Responsabilidades:
Requisitos:
Estudios: De preferencia Ingeniería Comercial, Industrial, Financiera o experiencia similar
Idiomas: Inglés medio
Conocimiento fuerte en Excel & Power Point. BI, herramientas de automatización
Experiencia en precios previa
3-4 años de experiencia
Ventaja Competitiva:
Experiencia comercial, conocimiento de reglas y políticas comerciales de precios e incentivos
Perfiles con discapacidad
Staff AI/ML Engineer, AV ML Infra
We’re General Motors (GM), a company driving the future of mobility with advanced self-driving and electric vehicle technologies.
We’re building the world’s most innovative autonomous vehicles to safely connect people to the places, things, and experiences they care about. We believe self-driving vehicles will help save lives, reshape cities, give back time in transit, and restore freedom of movement for many.
GM employees have the opportunity to grow and develop while learning from leaders at the forefront of their fields. With a culture of internal mobility, there’s an opportunity to thrive in a variety of disciplines. This is a place for dreamers and doers to succeed.
If you are looking to play a part in making a positive impact in the world by advancing the revolutionary work of self-driving vehicles, join us.
About the team:
The AV ML Infra team at GM builds ML infrastructure designed to meet the unique demands of AI and ML innovation, supporting a wide range of use cases across teams such as Embodied AI, Simulation, Data Science, and more. We enable scalable and efficient ML experimentation, enhance the productivity of ML engineers, and drive the adoption of cutting-edge ML techniques.
Our ML infrastructure includes:
AI Validation & Inference: Ensures robust model performance by running large-scale simulation workloads and managing reliable ML inference pipelines.
ML Compute: Streamlines and optimizes large-scale ML training and inference across cloud and on-prem compute resources.
AV Pipelines & Lineage: Automates ML workflows while tracking data and model lineage across diverse infrastructures, accelerating engineering velocity and ensuring reproducibility.
Together, these tools and systems empower GM to tackle the complexities of autonomous driving technology and expedite our path to commercialization.
Position Overview:
As a Staff AI/ML Engineer , you will be a technical expert within the AV ML Infra team, driving the design and implementation of scalable ML infrastructure solutions. You will influence the direction of our technical projects, provide mentorship to peers, and help shape the adoption of best practices across GM’s ML infrastructure. This is an individual contributor/Tech Lead role focused on deep technical impact rather than team management.
Note: This role is part of an ML infrastructure engineering team and does not involve applying machine learning models for specific tasks. The focus is on developing infrastructure products that empower GM teams to perform machine learning and data science at scale.
What you’ll be doing:
Design & Implementation: Utilize the latest cloud technologies (GCP/Azure) to design, implement, and test scalable distributed computing and data processing solutions in the cloud.
Project Ownership: Take ownership of technical projects from inception to completion, contribute to the product roadmap, and make informed decisions on major technical trade-offs.
Collaboration: Engage effectively in team planning, code reviews, and design discussions, considering the impact of projects across multiple teams while proactively managing conflicts.
Mentorship & Recruitment: Conduct technical interviews with calibrated standards, onboard, and mentor engineers and interns, fostering a culture of growth and knowledge sharing.
What you must have:
8+ years of experience, with a strong background in large-scale distributed systems preferred.
3+ years of experience leading and driving large-scale initiatives.
Proficiency in building scalable infrastructure on the cloud using Python, C++, Golang, or similar languages.
Experience working with relational and NoSQL databases.
Demonstrated ability to develop and maintain systems at scale.
A Bachelor’s, Master’s, or Ph.D. in Computer Science, Electrical Engineering, Mathematics, Physics, or a related field; or equivalent practical experience.
A passion for autonomous vehicle technology and its transformative potential.
Strong attention to detail and a commitment to accuracy.
A proven track record of efficiently solving complex problems.
A startup mentality with a willingness to embrace uncertainty and wear multiple hats.
Bonus Points:
Experience with Google Cloud Platform, Microsoft Azure, or Amazon Web Services.
Experience with open-source orchestration platforms such as Kubeflow, Flyte, Airflow, etc.
Experience with Kubernetes.
Understanding of Machine Learning (ML) models/pipelines.
Python/C++/Golang proficiency.
Relevant publications.
Compensation:
Company Vehicle: Upon successful completion of a motor vehicle report review, you will be eligible to participate in a company vehicle evaluation program, through which you will be assigned a General Motors vehicle to drive and evaluate. Note: program participants are required to purchase/lease a qualifying GM vehicle every four years unless one of a limited number of exceptions applies.
Every day, our products move millions of people as we aim to make driving safer, smarter, and more connected, shaping the future of transportation on a global scale.
Role
As a Staff AI/ML Engineer in the Embodied AI organization, you will serve as a senior individual contributor developing and deploying machine learning solutions that directly impact autonomous driving performance. You will design and implement advanced ML models that enable safe and reliable vehicle behavior across diverse real-world scenarios.
In this role, you will partner closely with cross-functional engineering teams, contribute to core technical direction within your domain, and support the growth of engineers through technical collaboration and mentorship. You will help translate research into scalable onboard ML solutions while contributing to the continuous improvement of our autonomy stack.
What You'll Do
Design and implement ML solutions aligned with GM’s autonomous driving objectives.
Apply techniques such as unsupervised pre-training, imitation learning, reinforcement learning, model scaling/selection, foundation modeling, to solve problems in object detection/tracking/classification, trajectory generation, and safe AI.
Collaborate with cross-functional teams to deploy models and algorithms into onboard driving systems.
Contribute to applied research efforts and remain current with advancements in ML frameworks and methods.
Design and build efficient infrastructure, pipelines, and tooling to facilitate fast-pace model iterations.
Drive technical execution from prototyping through production deployment, documenting learnings and best practices.
Support and mentor engineers through technical collaboration and code reviews, fostering knowledge sharing and engineering excellence.
Your Skills & Abilities
Bachelor’s, Master’s, or PhD in Computer Science, Robotics, Machine Learning, or related field.
Experience working with large-scale foundation models and alignment methods applied to real-world systems.
Demonstrated ability to deliver applied ML solutions under real-world constraints and timelines.
Proficiency in PyTorch and Python.
Experience building and scaling model training pipelines enabling efficient iteration across teams.
Strong data processing skills using tools such as NumPy, Pandas, and Apache Spark.
Strong communication skills enabling effective collaboration across engineering teams.
Experience deploying ML models into production environments and understanding end-to-end deployment workflows.
Experience in robotics or autonomous driving systems preferred.
Remote: This role is based remotely but if you live within a 50-mile radius of Austin, Detroit, Warren, Milford or Mountain View, you are expected to report to that location three times per week, at minimum.
Compensation : The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of the California Bay Area.
The salary range for this role is $218,800.00 to $335,300.00. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.
Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.
Benefits:
Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.
This job may be eligible for relocation benefits.
Company Vehicle: Upon successful completion of a motor vehicle report review, you will be eligible to participate in a company vehicle evaluation program, through which you will be assigned a General Motors vehicle to drive and evaluate. Note: program participants are required to purchase/lease a qualifying GM vehicle every four years unless one of a limited number of exceptions applies.
#GM-AV-1
Electronic Control Units (ECUs) are central to a wide range of control functions and are undergoing significant technological advancements in the global automotive market. Our team is looking for a creative and highly energetic ECU Hardware Requirements & Specifications Engineer who can lead the development and management of hardware requirements, low-level software definition and specification for ECU Hardware Component Technical Requirements Specifications (CTRS).
The ideal candidate will have experience with Automotive Embedded Control Systems including ECU circuit-level design, semiconductor and microprocessor application, low-level software design and diagnostics. Additional experience with implementing high Automotive Safety Integrity Level (ASIL) designs and applications is desirable.
The candidate will drive innovation, facilitate effective communication, and inspire enthusiasm within the team. We expect you to demonstrate leadership qualities, actively champion change, possess keen business intuition, and strategically address systemic challenges. You should also exhibit high learning agility, the ability to navigate ambiguity and complexity, and a commitment to pushing the boundaries of innovation while challenging the status quo. You will also interact with and mediate between diverse control system, software and hardware design teams to achieve acceptable ECU requirements to all consumers of them.
The Role:
In this role you are expected to have a high level of technical proficiency in developing and managing requirements and providing technical leadership to perform ongoing development, maintenance, and configuration management of CTRS requirements that support various build-to-spec and build-to-print ECU designs across GM’s diverse portfolio of vehicles and electrical architectures (including electrification / Electric Vehicle ECU designs). Your contributions will play a key role in enabling standardized hardware designs with a focus on providing common solutions and seamless software implementations across multiple vehicle platforms. Your role will interface across various GM engineering disciplines as well as external engineering entities to obtain needed information for the requirements development work.
What You’ll Do:
Your Skills & Abilities (Required Qualifications):
What Will Give You A Competitive Edge (Preferred Qualifications):
#LI-JK3
]]>Prototype research concepts into performant tools integrated into CI/CD and large-scale validation pipelines.
Develop AI-tools to improve performance monitoring and observability for autonomous vehicle stack
Advance ML research for open and and closed loop simulation validation.
Develop AI-centric automations to make issue triage and root cause analysis more scalable
Develop scenario generation, coverage-guided testing, and rare-event discovery tooling.
Create robust metrics, predictors, uncertainty and Out-of-Distribution detection methods for autonomy ML systems.
Evaluate deep learning modules across perception, prediction, and planning in realistic sensor and traffic simulation.
Improve behavioral coverage and hazard-aligned metrics used in release readiness decision making.
Collaborate with Simulation, Safety, Systems Engineering, and cross-functional partners.
Author technical documentation, white papers, and contribute to validation methodology standards.
Research Focus Areas
Scenario synthesis (diffusion models, generative models, counterfactuals)
Coverage-based and fuzzing-based evaluation for autonomy behavior
Uncertainty estimation, calibration, conformal prediction, OOD detection
Robustness testing and perturbation frameworks
Test suite prioritization, failure mining, and regression analysis
Required Qualifications
B.Sc or MS in ML, Robotics, Computer Science, or work related experience
Strong proficiency in Python, PyTorch/JAX/TensorFlow
Demonstrated ability to translate complex ML research ideas into functional prototypes
Experience integrating ML evaluation into CI/CD pipelines
Proven research impact through published work, internal tools, or patents
Strong communication skills and ability to collaborate cross-functionally
Compensation
The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of New York, Colorado, California, or Washington.
The salary range for this role is $112,300 - $171,200. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.
Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.
Benefits
Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.
At General Motors, our product teams are redefining mobility. Through a human-centered design process, we create vehicles and experiences that are designed not just to be seen, but to be felt. We’re turning today’s impossible into tomorrow’s standard - from breakthrough hardware and battery systems to intuitive design, intelligent software, and next-generation safety and entertainment features.
Every day, our products move millions of people as we aim to make driving safer, smarter, and more connected, shaping the future of transportation on a global scale.
Why GM Battery R&D?
At GM, your work won’t sit on a shelf – you’ll see it power real vehicles on the road. You’ll move ideas from theory → model → product, working at the intersection of fundamental science, advanced modeling, and real-world impact. Our Research team offers the opportunity to:
Work alongside globally recognized experts across battery materials, modeling, and systems engineering
Tackle open-ended, high-impact problems spanning electrochemistry, thermal science, mechanics, data science, and AI
Leverage cutting-edge experimental facilities, advanced instrumentation, and high-performance computing
Use state-of-the-art AI/ML and scientific modeling tools to generate new insights
Be supported to publish and present original research in leading journals and top conferences
Collaborate with battery suppliers, tier 1 research universities, national labs, and DOE/NSF-funded programs
See your research directly implemented in GM EVs at a global scale
Grow across technical, leadership, and research career paths in a deeply technical environment
The Role
As a Senior Researcher, you will shape the future of electric mobility by developing next-generation battery models using advanced AI/ML techniques. You’ll build physics-informed, data-driven, and hybrid models – while defining new modeling approaches that push the boundaries of battery science and AI.
What You’ll Do
Develop and deploy advanced AI/ML models, including physics-informed and hybrid approaches, to predict battery performance, aging, and degradation
Build and refine Multiphysics models that couple electrochemical, thermal, and mechanical behavior
Identify and develop novel modeling approaches for next-generation battery chemistries and systems
Turn complex experimental and simulation datasets into actionable insights using Python-based scientific computing and ML frameworks
Partner with engineering teams to translate research into production, integrating models into battery management systems (BMS) and product workflows
Publish and present your work through peer-reviewed journals, conferences, and technical forums
Drive technical direction through deep problem solving, collaboration, and influence across disciplines
Contribute to intellectual property and patents for new algorithms and modeling innovations
Your Skills & Abilities (Required Qualifications)
Master’s or Ph.D. in Electrical Engineering, Physics, Computer Science, Materials Science, Chemical Engineering, or related field with a focus on AI/ML
Proven experience developing AI/ML models, ideally applied to batteries, electrochemical systems, or Multiphysics domains
Strong Python proficiency (required) with experience in ML/scientific libraries (e.g., PyTorch, TensorFlow, NumPy, SciPy)
Strong analytical skills with the ability to extract insight from complex datasets
Demonstrated research experience (e.g., publications, technical reports, or conference presentations)
Ability to clearly communicate complex technical concepts to diverse audiences
Strong collaboration and problem-solving skills, with the ability to influence across teams
Commitment to continuous learning and advancing the state of the art in AI/ML and battery technology
What will give you a competitive edge (Preferred Qualifications)
Experience with physics-informed or hybrid modeling approaches
Background in battery degradation, aging, or lifetime modeling
Familiarity with battery management systems (BMS) or system-level integration
Experience with large-scale datasets or high-performance computing environments
Contributions to patents, intellectual property, or external research collaborations
Experimental experience with measurements of battery material/electrochemical properties
At General Motors, our product teams are redefining mobility. Through a human-centered design process, we create vehicles and experiences that are designed not just to be seen, but to be felt. We’re turning today’s impossible into tomorrow’s standard —from breakthrough hardware and battery systems to intuitive design, intelligent software, and next-generation safety and entertainment features. Every day, our products move millions of people as we aim to make driving safer, smarter, and more connected, shaping the future of transportation on a global scale. Are you passionate about accelerating the future of autonomous driving? Join the Embodied AI team at General Motors. Our team is developing and deploying machine learning solutions that support safe and reliable autonomous vehicle behavior across real-world scenarios.
As a Staff AI/ML Future Sensing Engineer in the Embodied AI organization, you will serve as a senior individual contributor driving end-to-end technical work that informs next-generation sensing architecture decisions. You will help define and evaluate machine learning and perception solutions that directly impact autonomous driving performance, with emphasis on future sensing architectures, multi-modal sensor fusion, system integration, and the technical evidence required to support sensor and compute decisions.
In this role, you will partner closely with cross-functional engineering teams, contribute to core technical direction within your domain, and support the growth of engineers through technical collaboration and mentorship. You will help translate research into scalable onboard ML and perception solutions while contributing to the continuous improvement of GM’s autonomy stack and sensing strategy.
What You’ll Do
Design and implement AI/ML solutions aligned with GM’s autonomous driving and future sensing objectives
Lead end-to-end technical studies across sensor selection, sensor configuration, sensor placement, and multi-modal sensor fusion using cameras, lidar, radar, and related sensing modalities
Architect and evaluate perception models and pipelines for detection, reconstruction, tracking, localization support, semantic labeling, and uncertainty estimation
Drive definition of robust model-level and system-level metrics used to compare sensor configurations, quantify subsystem differences, and evaluate performance parity relative to existing architectures
Lead model development efforts spanning data curation, training, validation, performance optimization, debugging, and deployment-oriented analysis
Partner with simulation teams to define synthetic-data and sensor-model requirements needed to evaluate future sensing concepts under adverse weather, sensor noise, occlusions, clutter, and near-field versus long-range scenarios
Drive system integration thinking across sensing, calibration, compute, software architecture, and vehicle constraints
Translate ambiguous architecture questions into concrete experiments, technical recommendations, and clear go / no-go evidence packages
Design and build efficient infrastructure, pipelines, and tooling to support large-scale data processing, model training, evaluation, and rapid iteration across teams
Drive technical execution from prototyping through integration and readiness for production adoption, documenting learnings and best practices
Support and mentor engineers through technical collaboration and code reviews, fostering knowledge sharing and engineering excellence.
Your Skills & Abilities
Bachelor’s, Master’s, or PhD in Computer Science, Robotics, Machine Learning, Electrical Engineering, or a related field
Strong experience building and scaling AI/ML systems for perception, autonomy, robotics, or related real-world systems
Deep hands-on experience with modern deep learning frameworks such as PyTorch and strong proficiency in Python
Experience working with model training pipelines, large-scale data workflows, and infrastructure enabling efficient model iteration across teams
Strong data processing skills using tools such as NumPy, Pandas, and Apache Spark
Strong experience with model validation, debugging, performance optimization, and error analysis under real-world constraints and timelines
Strong experience with multi-modal sensor fusion and perception pipelines using cameras, radar, lidar, or related sensing modalities
Experience defining metrics and evaluation methodologies for perception or autonomy systems
Strong communication skills enabling effective collaboration across engineering teams
Experience deploying or preparing ML models for production environments and understanding end-to-end deployment workflows.
Preferred Qualifications
Experience in robotics or autonomous driving systems
Experience with architecting perception or sensory systems for automotive, robotics, or safety-critical platforms
Experience with system integration across sensors, calibration, compute, and onboard software pipelines
Experience with simulation, synthetic data, and sim-to-road evaluation workflows
Technical leadership experience including mentoring engineers and shaping major workstreams from concept to execution.
Remote/Hybrid: This role is categorized as fully remote or hybrid.
Compensation: The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of the California Bay Area.
Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.
Company Vehicle : Upon successful completion of a motor vehicle report review, you will be eligible to participate in a company vehicle evaluation program, through which you will be assigned a General Motors vehicle to drive and evaluate. Note: program participants are required to purchase/lease a qualifying GM vehicle every four years unless one of a limited number of exceptions applies.
Relocation: This job may be eligible for relocation benefits.
#LI-CX1
#GM-AV-1
If you are a current employee of General Motors working in a per diem, hourly, or regular salaried role, you must apply through the internal careers page. Please navigate to https://workday.gm.com and search for GM Find Jobs.
The General Motors Manufacturing Group is seeking to identify highly motivated and qualified individuals for current and potential future opportunities as a Group Leader. In anticipation of these openings becoming available, we welcome you to apply so we can begin the pre-screening and interview process.
The Role:
As a Group Leader in Production, Quality, or Global Supply Chain (GSC), you will be responsible for leading teams of employees or technical personnel to drive operational excellence across manufacturing processes. This includes managing daily operations, developing and improving business processes, and fostering a culture of teamwork and collaboration.
In this role, you may oversee production activities, quality assurance, inspection, problem-solving, and GM Built-in-Quality initiatives. You will be expected to apply independent judgment within the framework of Global Manufacturing Systems, with a strong focus on Safety, People, Quality, Responsiveness, Cost, and Environment (SPQRCE).
Selected candidates will gain the chance to develop new skills while contributing to the advancement of manufacturing processes that support the groundbreaking shift toward electric and autonomous vehicles.
What You'll Do (Responsibilities):
Analyze and respond promptly to the manufacturing daily plan, making necessary adjustments to operations as required
Manage multiple tasks in a fast-paced environment with competing priorities
Possess the experience to manage change and navigate ambiguity
Drive accountability through people and processes which may require difficult conversations
Specific physical requirements of the position include the ability to:
Work in a loud manufacturing environment that may not be climate controlled (conditions can be hot or cold)
Possess good physical stamina and coordination to frequently and repetitively:
Bend, twist, kneel, crouch and reach to perform work
Lift or carry materials weighing up to 15 lbs. and periodically carry or lift materials weighing up to 40 lbs.
Walk and stand for prolonged periods of time
Occasionally sit, climb (including ladders and lifts) and drive vehicles and equipment
Read standardized work instructions, operate machines and tools, and perform quality inspections
Promptly detect and respond to safety instructions, alarms, and signals
Wear personal protective equipment, for example: safety glasses, gloves, hats, ear plugs, and safety shoes
Your Skills and Abilities (Required Qualifications):
One year of direct supervisory experience or at least 5 months as an internal GM per diem group leader
Experience managing, leading people, and addressing performance concerns
Experience solving complex problems and working in a fast-paced environment
Strong interpersonal skills, experience managing conflict, and decision making
Demonstrate a high analytical ability to solve complex problems
Basic computer proficiency (i.e. Microsoft Word, typing, email etc.)
Must be willing to work rotating shifts
Must be available and willing to regularly work weekends to meet production demands, including approximately two weekends per month
18 years of age or older
High School Diploma or equivalent
What Can Give You a Competitive Edge (Preferred Qualifications):
Knowledge of Continuous Improvement Processes (CIP)
Proficient in Throughput Improvement Process (TIP)
Advanced understanding of manufacturing and assembly processes
Experience supervising employees in a union environment
Supply Chain or Quality Experience
Experience implementing Built-in-Quality Initiatives
Red X & DFSS Certification
Lean Manufacturing experience
Knowledge of timekeeping systems
At General Motors, our product teams are redefining mobility. Through a human-centered design process, we create vehicles and experiences that are designed not just to be seen, but to be felt. We’re turning today’s impossible into tomorrow’s standard —from breakthrough hardware and battery systems to intuitive design, intelligent software, and next-generation safety and entertainment features.
Every day, our products move millions of people as we aim to make driving safer, smarter, and more connected, shaping the future of transportation on a global scale.
Role:
As a Principal Technical Lead in Trajectory Generation within the Embodied AI organization, you will be a senior individual contributor driving cutting-edge end-to-end machine learning solutions directly impacting autonomous driving performance. Your role is pivotal in designing, architecting, and deploying advanced ML models to reliably and safely navigate diverse real-world scenarios and conditions. You'll lead critical technical initiatives, collaborate closely with cross-functional teams, mentor ML engineers, and significantly shape the future of onboard ML capabilities.
What You'll Do:
Design and implement technologies that align our models to GM’s mission.
Apply techniques such as RL, guidance, and selection to raise the performance of our models and provide a layer safety and reliability.
Collaborate with cross-functional teams to integrate & align distillation recipes of Robotics foundation models for onboard driving models.
Conduct research and stay updated on the latest advancements in AI frameworks and libraries.
Lead projects from ideation to deployment, documenting learnings and best practices along the way.
Mentor junior team members and contribute to a culture of knowledge sharing and continuous improvement.
Your Skills & Abilities:
Bachelor’s, Master’s or PhD degree in Computer Science with a focus in Robotics and or Machine Learning, or a related field.
Proven experience working with large-scale Foundation Models and alignment methods to translate research into real-world impact.
Proven experience delivering applied research in the wild and maintaining best practices while working on tight deadlines.
Proficiency in frameworks such as PyTorch and languages such as python.
Proven experience in building and scaling large model training pipelines that are performant and enable quick iteration by distributed teams.
Strong data processing skills using tools like Numpy, Pandas, and Apache Spark.
Excellent communication skills to effectively collaborate with diverse teams and stakeholders.
Experience deploying foundation models into production environments and understanding the end-to-end process.
Previous experience in Robotics or Autonomous Driving.
Compensation :
The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of the California Bay Area.
The salary range for this role is $ 269,400.00 to $412,600.00. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.
Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.
Benefits:
Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.
This job may be eligible for relocation benefits.
Company Vehicle: Upon successful completion of a motor vehicle report review, you will be eligible to participate in a company vehicle evaluation program, through which you will be assigned a General Motors vehicle to drive and evaluate. Note: program participants are required to purchase/lease a qualifying GM vehicle every four years unless one of a limited number of exceptions applies.
#GM-AV-1
The Role
As a Global Sourcing Manager, you will be responsible for sourcing Technology purchases (Software, Software as a Service, Infrastructure, etc.) on a regional and global basis. You will be responsible for developing, negotiating and implementing sourcing strategies by working with key stakeholders on technology requirements, IT, Security, Privacy and Legal, which then requires preparing and completing sourcing recommendations to various levels of management.
What You'll Do:
Your Skills & Abilities (Required Qualifications)
What Can Give You a Competitive Edge (Preferred Qualifications)
Compensation:
This job may be eligible for relocation benefits
GM does not provide immigration-related sponsorship for this role. Do not apply for this role if you will need GM immigration sponsorship now or in the future. This includes direct company sponsorship, entry of GM as the immigration employer of record on a government form, and any work authorization requiring a written submission or other immigration support from the company (e.g., H1-B, OPT, STEM OPT, CPT, TN, J-1, etc.)
]]>About Us
The AI Cloud and Developer Productivity organization is responsible for delivering and maintaining the tools and services engineers here at GM use every day to do their best work and drive our cars forward. Tools and services we work on enhancing the entire development process of engineers at GM — how/where code is checked out, modified, compiled, tested, merged, and eventually deployed. Our goal is to ensure our AV engineers and others here have world class tools and a seamless development experience so that they can focus on the problems that matter most in their domain.
The Role
We are looking for a Staff Engineer with an extensive engineering background, experience using a variety of developer tools and technologies, and who is passionate about developer productivity. As a leader on this team, we are looking for someone who cares deeply about the technical development of other engineers on the team and can effectively balance the needs and priorities of the business, our users, and the growth of our engineers.
The way this engineer will deliver impact may vary depending on the situation, but they will be expected to be able to identify how they can best have impact with minimal guidance.
The Team
The AV Developer Tools team owns AI-native tools and services that enable others to deploy consistent and secure agentic workflows with visibility into their usage, both hosted and on-device. We are part of the AI Cloud and Developer Productivity organization and own building blocks that allow customers to easily instrument their products to debug, optimize, reach, and maintain production level reliability and availability. This includes setting best practices and providing opinionated drop-in libraries and recommendations for service instrumentation. Our goal is to accelerate AV development by supporting developer workflows for performance and observability into their systems.
What You’ll Do (Responsibilities)
Identify engineering pain points and propose/design/implement solutions that are reliable, scalable, and maintainable
Influence the team’s technical roadmap
Evaluate new tools and technologies through PoCs
Ship improvements to our AV development toolchains and services which have a measurable and direct impact on engineering productivity and our core company metrics
Drive software engineering best practices within your team, and create tooling which encourages these
Help steer the engineering culture on the team
Guide the team to find the right balance between delivering impact and addressing technical debt
Mentor and grow engineers on the team
Set the example for high levels of accountability
Execute and deliver impact both individually and through the team
Set strong boundaries when selecting external requests and pushing back on requests that do not align with our team vision
Minimum Qualifications (Must-Have)
5+ years of experience designing, building and operating production systems at scale in the cloud
Bachelors Degree in Computer Science or related field or equivalent work experience
Experience designing highly scalable, reliable, and maintainable services
Experience writing in Go, Python, or other languages at production scale
Understanding of Unix/Linux, SSH, and networking fundamentals
Attention to detail, and a desire to improve processes and systems around you
Ability to lead and influence others, both internal and external to the team
Ability to research, document, communicate, and defend proposals, and provide and take critical feedback
Ability to effectively make trade-offs and communicate the reasoning
Ability to manage competing priorities, focus on shipping, and work effectively under pressure
Passion for mentoring and growing junior engineers
Passion for self-driving technology and its potential impact on the world
Preferred Qualifications (Nice-to-Have)
Demonstrated application of LLMs, skills, and MCPs to coding & review workflows
Experience working with GCP
Experience working with Docker and Kubernetes
Experience owning or contributing to Open-Source projects
Compensation: The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of New York, Colorado, California, or Washington.
The salary range for this role: is $180,000 to $284,000. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.
Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.
Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.
#GM-AV-1
General Motors has needs for qualified Stationary Engineer/Boiler Operator Journeypersons. Working under minimal supervision, the skilled trades Stationary Engineer Journeyperson is responsible for operating and maintaining gas fired boilers, large centrifugal and reciprocating air compressors, heat exchangers, water softeners, chilled water systems, cooling towers, wastewater systems, high quality water systems, and/or other related equipment found in an industrial powerhouse.
Primary Responsibilities:
Follow established safety procedures according to OSHA standards and company procedures
Responsible for the maintenance and repair of assigned equipment
Analyze and troubleshoot malfunctions in equipment and related components, diagnosing and correcting the problems quickly to avoid production delays
Perform preventative and corrective maintenance on all assigned equipment
Participate in continuous improvement activities
Read and interpret blueprints
Basic computer skills
Interested individuals must meet the following minimum qualifications:
U.S. Department of Labor Completion of Apprenticeship Certificate as a Stationary Engineer, or six (6) years of documented experience as a Stationary Engineer / Boiler Operator (documentation required, e.g., US DD214, license)
Must be able to satisfactorily complete the General Motors hiring process requirements which include comprehensive assessments, hair drug testing, and a background check
At least 18 years of age
Eligible to work in the United States
Must be willing to work flexible shift hours and day, afternoon, or night shift as well as overtime hours daily, weekends and holidays on those shifts with little notice
GM DOES NOT PROVIDE IMMIGRATION-RELATED SPONSORSHIP FOR THIS ROLE. DO NOT APPLY FOR THIS ROLE IF YOU NEED OR WILL NEED GM IMMIGRATION SPONSORSHIP TO WORK OR TO REMAIN EMPLOYED AT GM (e.g., H-1B, TN, STEM OPT, etc.).
If you are a current GM employee operating under a collective bargaining agreement, please contact your local HR/LR for employee placement opportunities.
This position may be filled with a Journeyperson or Journeyperson In Training, the compensation ranges for a JIT include ($37.79-$44.09) or Journeyperson rate of $44.99. Certificates/credentials and scoring in interview will determine your status and pay.
General Motors UAW hourly employment offers a very competitive compensation and benefit package. An annual incentive payout is also available, as qualified.
Relocation and travel expenses will be the responsibility of the applicant.
Please note – per the labor agreement between GM and the UAW, GM may share information and documentation relating to the credentials of applicants for this position (e.g., resumes, journeyperson cards, interview notes, certificates, etc.) with UAW personnel who have a need to know as part of their role on the UAW skilled trades team.
]]>Every day, our products move millions of people as we aim to make driving safer, smarter, and more connected, shaping the future of transportation on a global scale.
Description:
As a Senior State Estimation Engineer within the SEAM Embodied AI organization, you will be a senior individual contributor driving cutting-edge sensor calibration and state estimation solutions that directly impact autonomous driving performance. Your role is pivotal in designing, architecting, and deploying advanced systems for purposes including pinpointing the vehicle’s location in the world, and calibrating parameters of all sensors to ensure they optimally support many other vehicle subsystems. You'll lead critical technical initiatives, collaborate closely with cross-functional teams, mentor engineers across the organization, and significantly shape the future of onboard autonomous driving capabilities.
About the Organization:
The SEAM Embodied AI team is at the forefront of developing groundbreaking sensor fusion systems powering fully autonomous vehicles. We leverage modern approaches that are both practical and theoretically sound, supported with top quality code and rigorous testing. Our solutions enable robust state estimation for the purposes of real-time localization, static and dynamic sensor calibration, as well as onboard and offboard high-fidelity map creation at scale. Join a collaborative and innovative team redefining autonomy through state-of-the-art methodology, delivering solutions that move beyond current technological boundaries.
What You'll Do:
Drive the design, development, and deployment of advanced solutions for state estimation, localization, sensor calibration and more.
Lead and architect complex projects, from conception through validation to onboard implementation, emphasizing scalability, robustness, and safety-critical operation.
Drive innovation in vehicle motion estimation, determination of vehicle pose in global maps, multi-sensor self-calibration in unstructured environments, state estimation architectures, and fault tolerance strategies suited for real-time onboard deployment.
Provide technical mentorship and thought leadership, elevating engineering practices, and fostering innovation across teams.
Collaborate closely with multidisciplinary engineering groups, ensuring seamless integration of localization, sensor alignment, and other capabilities into autonomous vehicle systems.
Influence technical roadmaps, shaping strategic priorities aligned with company objectives and product milestones.
Your Skills & Abilities:
Master's or Ph.D. in Robotics, Computer Science, Electrical Engineering, or a related technical field.
5+ years of extensive experience developing and deploying advanced state estimation and/or sensor calibration systems, particularly in real-time onboard applications.
Proven track record as a technical leader and expert in state estimation, localization and/or sensor calibration, operating on a wide variety of sensor inputs to perform robustly within safety-critical systems.
Strong software engineering proficiency, particularly in C++ and Python, alongside extensive hands-on experience with development, integration, and testing tools.
Excellent communication, collaboration, and mentoring abilities, comfortable influencing technical strategy and guiding engineering excellence across the organization.
Bonus:
AV/ADAS experience is a big plus
H ybrid: This role is categorized as hybrid. This means the successful candidate is expected to report to the assigned office three times per week, at minimum.
Compensation : The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of the California Bay Area.
The salary range for this role is $170,600.00 to $261,300.00. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.
Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.
Benefits:
Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.
#GM-AV-1
]]>GM Defense is driving the future of military mobility by leveraging the best-in-class capabilities of General Motors for unmatched innovation, proven performance and breakthrough life-cycle economics. We deliver reliable, affordable, and innovative products across a full spectrum of capabilities – integrated vehicles, power and propulsion, autonomy, mobility, and security.
GM Defense IT is seeking a Sr. System Analyst to support business and technology initiatives that enable secure, scalable, and compliant solutions across GM Defense. This role will work across business and IT teams to gather requirements, analyze processes, translate needs into future-state solutions, and help drive execution across areas such as manufacturing, SAP, CCA, vehicle engineering, supply chain, and other GM Defense priorities based on business need.
This role should operate as a fully qualified and experienced individual contributor with complete knowledge of their area and broad knowledge of related areas. The role is expected to exercise independent judgment on significant matters, break broad challenges into implementable initiatives, identify opportunities to improve processes and services, solve diverse non-standard problems, work independently with minimal guidance, and act as a resource and mentor to less experienced team members.
Lead and support cross-functional initiatives that advance GM Defense business and engineering priorities.
Partner with business, engineering, manufacturing, supply chain, SAP, and IT stakeholders to define needs, evaluate options, and deliver effective solutions.
Gather, analyze, and document business requirements, workflows, and system needs and translate them into detailed requirements and actionable solution designs.
Identify, document, and communicate system, process, data flow, and operational changes needed to improve performance and support business outcomes.
Participate in both technical design discussions and business-facing forums to align stakeholders and move work forward.
Support delivery of solutions that meet GM standards while also addressing government defense and other government-regulated program requirements.
Identify risks, dependencies, compliance considerations, and integration impacts across projects and operational activities.
Help refine, support, and transform new and existing applications and processes in collaboration with development and support teams.
Support issue triage, investigation, escalation, and resolution for complex inquiries, production issues, and system problems as needed.
Use data and analysis to demonstrate value, support recommendations, anticipate objections, and influence decisions across stakeholder groups.
Coach and mentor less experienced team members and serve as a knowledgeable resource across the function.
Bachelor’s degree in Information Technology, Engineering, Computer Science, Business, or a related field, or equivalent experience.
7+ yrs of experience in systems analysis, business systems analysis, IT software applications, requirements definition, process definition, testing, or IT strategy and roadmap development.
Experience gathering requirements, conducting data analysis, understanding business strategy needs, and driving work toward solution design and execution.
Experience in regulated or government-contract environments such as defense, aerospace, or other highly controlled industries.
Demonstrated ability to work independently on significant matters, solve complex problems, and implement practical solutions with minimal guidance.
Strong written and verbal communication skills with the ability to work effectively across cross-functional teams and tailor technical discussions to the right audience.
Ability to identify, investigate, resolve, and escalate issues as needed while supporting operational continuity.
Ability to coach less experienced team members and contribute as a resource across the team.
Experience in regulated or government-contract environments such as defense, aerospace, or other highly controlled industries.
Understanding of government data classifications and handling requirements, including concepts such as Controlled Unclassified Information (CUI) , International Traffic In Arms Regulation (ITAR) , Export Administration Regulations (EAR) , export controls, and classified program sensitivities
Knowledge of government cybersecurity and control frameworks such as C MMC, DFARS, NIST SP 800-171, or NIST 800-53 .
Experience supporting one or more of the following domains: manufacturing systems and operations, customer care and aftersales or warehouse processes, SAP-enabled business processes and integrations, vehicle engineering or product development environments, or global purchasing and supply chain.
Experience working in highly controlled environments with security, compliance, or regulatory constraints.
Strong understanding of Agile, Scrum, and Waterfall delivery methodologies.
The strongest candidates will bring structured analysis, sound judgment, strong business process skills, and the ability to operate effectively in complex and sometimes ambiguous environments. They should be able to connect business needs to practical solutions, influence progress across teams through data and collaboration, and help GM Defense execute with speed, discipline, and compliance.
for continuous improvement.
#GMD
]]>Create high-quality visual design concepts, mood boards, UI assets, and production-ready graphics for in-vehicle digital experiences.
Collaborate with design, engineering, and cross-functional partners to translate user needs, brand intent , and technical constraints into clear, visually compelling interface solutions .
Contribute to prototypes, storyboards, animations, and presentations that communicate visual design intent, hierarchy , and interaction behavior and interaction behavior.
Apply established design guidelines to create c ohesive, brand-aligned, and detail-driven visual experiences across assigned product areas.
Participate in design reviews, iterate based on feedback, and present work with a focus on visual clarity, craft quality, and execution excellence to project teams and stakeholders
Support usability and design evaluation efforts by incorporating feedback and insights into design refinements.
Deliver clear design files and documentation to support efficient collaboration and development handoff.
Your Skills & Abilities (Required Qualifications)
Bachelor’s degree in Visual Design, Graphic Design, Human-Computer Interaction, Interaction Design, or a related discipline.
3+ years of experience designing digital user interfaces for automotive, embedded, mobile, or other complex product experiences.
Strong portfolio showcasing visual design craft, interface design, creativity, and depth of thought.
Strong UI visualization, visual communication, digital design, and UX design skills, with the ability to create intuitive and customer-centered interfaces.
Experience creating sketches, mockups, prototypes, presentations, and other design communication materials.
Proficiency with industry-standard design tools such as Sketch, Adobe Photoshop, and Adobe Illustrator.
Ability to balance customer needs, brand goals, and technical constraints to solve design problems effectively.
Strong collaboration and communication skills when working with cross-functional teams.
What Will Give You a Competitive Edge (Preferred Qualifications)
5+ years of experience designing automotive or other complex digital interfaces across multiple surfaces and screen sizes.
Experience contributing to brand-forward digital experiences, including visual language, brand systems, or interface design systems.
Strong portfolio which shows evidence of high-quality visual craft, clear design judgment, polished end-to-end execution, and thoughtful UX problem solving.
Experience balancing visual design excellence with solid UX thinking to create clear, intuitive customer experiences.
Experience with prototyping, motion design, animation, or interaction storytelling.
Experience applying usability findings, heuristic evaluation, or customer insights to refine designs.
Familiarity with the product development lifecycle for digital products, embedded systems, or automotive experiences.
#LI-VC1
]]>Develop and implement simulation components that model vehicle ECUs, actuators, chassis, and tires.
Develop scalable simulation architectures to support a large number of host vehicle models.
Collaborate with Vehicle dynamics and actuation technical experts across GM.
Design, run, and interpret vehicle model validation studies.
Refactor and optimize code for long term maintainability and performance improvements
Generate documentation for design documents, port-mortems, and release notes
Your Skills and Abilities
A bachelors degree in Mechanical Engineering, Applied Physics, Aerospace Engineering, Computer Science, or a related area, and at least 3 years of experience in the vehicle modeling domain.
Expertise in vehicle system modeling and simulation (powertrain, suspension, steering, brakes, chassis controls, etc.)
Strong programming skills in Python and C/C++
Experience with Matlab/Simulink, System ID studies, model validation, and data analysis
Compensation
The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of New York, Colorado, California, or Washington.
The salary range for this role is $129,400 and $198,400. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.
Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.
Benefits
GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.
#GM-AV-1
General Motors has a need for qualified Mechanical Journeypersons (Pipefitters). You will work under minimal supervision with a high level of independent judgement and problem solving. You should be flexible enough to take on and tackle multiple job assignments in a shift.
Preferred Experience Includes:
Experience with planned maintenance systems and predictive technologies
Experience with industrial robotics, automation, and conveyance systems
Primary Responsibilities:
Follow established safety procedures according to OSHA standards and company procedures
Maintain, dismantle, repair, and replace mechanical and hydraulic components (e. g. bearings, seals, details, carriers, etc.) on industrial machinery such as shafting, motors, generators, air compressors, engines, pumps, cylinders, gears, couplings, linkages, ball screws, high speed CNC spindles, coolant systems and filters, and combustion equipment and valves
Layout, assemble, fabricate, maintain, and repair piping systems
Use various hand or power tools for measuring, cutting, threading, grooving, bending, soldering, assembling, joining, and installing pipes, valves, and fittings
Read and interpret blueprints for the mechanical operation and assembly of conveyor systems, material handling systems, robots, and other automation
Operate mobile equipment (e.g. forklifts, vertical lifts, cranes)
Determine loading requirements to rig equipment and material for lifting
Set up and operate conventional or computer numerically controlled (CNC) machine tools such as lathes, milling machines, and grinders to cut, bore, grind, or otherwise shape parts to prescribed dimensions and finishes
Fabricate punches, tools, steel rule tools and t-sets to exact specifications
Plan sequences of operations for fabricating tools or assemblies using blueprints, sketches, or models
Determine quality of finished products, ensuring defect-free parts, by verifying dimensions, alignment, and clearances for conformance to specifications using measuring instruments such as calipers, gauge blocks, micrometers, and dial indicators
Interested individuals must meet the following minimum qualifications:
At least six (6) years of related experience in a Mechanical trade (millwright, pipefitter, toolmaker, machine repair) or a U.S. Department of Labor Certificate of Completion in a Mechanical trade (millwright, pipefitter, toolmaker, machine repair).
Must be able to satisfactorily complete the General Motors hiring process requirements which includes comprehensive assessments, drug testing, and a background check
At least 18 years of age
Eligible to work in the United States
Must be willing to work flexible shift hours and day, afternoon, or night shifts as well as overtime hours daily, weekend and holidays on those shifts with little notice
GM DOES NOT PROVIDE IMMIGRATION-RELATED SPONSORSHIP FOR THIS ROLE. DO NOT APPLY FOR THIS ROLE IF YOU NEED OR WILL NEED GM IMMIGRATION SPONSORSHIP TO WORK OR TO REMAIN EMPLOYED AT GM (e.g., H-1B, TN, STEM OPT, etc.).
If you are a current GM employee operating under a collective bargaining agreement, please contact your local HR/LR for employee placement opportunities.
This position may be filled with a Journeyperson or Journeyperson In Training, the compensation ranges for a JIT include ($37.78 - 44.08) or Journeyperson rate of ($44.98). Certificates/credentials and scoring in interview will determine your status and pay.
Physical Requirements
Quick response to safety instructions, alarms, and signals are a must
Ability to work and stand for extended periods
Comfortably wear personal protective equipment
Navigate a busy environment
Bend, twist, kneel, crouch, and reach
May need to lift or carry materials weighing up to 50 lbs. depending on department
Occasional sitting during certain tasks
Drive mobile equipment when needed
General Motors UAW hourly employment offers a very competitive compensation and benefit package. An annual incentive payout is also available, as qualified.
Relocation and travel expenses will be the responsibility of the applicant.
Please note – per the labor agreement between GM and the UAW, GM may share information and documentation relating to the credentials of applicants for this position (e.g., resumes, journeyperson cards, interview notes, certificates, etc.) with UAW personnel who have a need to know as part of their role on the UAW skilled trades team.
GM's Vehicle Intelligence Platform (VIP) enables the rapid, seamless, and secure deployment of software-driven vehicle features. Within VIP, the Over-The-Air (OTA) Updates team develops the vehicle-side software that allows GM vehicles to receive software updates remotely, improving functionality, performance, security, and the customer experience throughout the vehicle lifecycle.
As a Senior Software Engineer , you will play a critical role in the development, integration, and delivery of OTA vehicle software solutions. You will help define system requirements, drive software design and implementation, support testing and validation activities, and provide technical leadership across the development lifecycle.
What You'll Do
Required Qualifications
Preferred Qualifications
#LI-JK3
]]>If you are a current employee of General Motors working in a per diem, hourly, or regular salaried role, you must apply through the internal careers page. Please navigate to https://workday.gm.com and search for GM Find Jobs.
The General Motors Manufacturing Group is seeking to identify highly motivated and qualified individuals for current and potential future opportunities as a Group Leader. In anticipation of these openings becoming available, we welcome you to apply so we can begin the pre-screening and interview process.
The Role:
The Maintenance Group Leader will be responsible for leading a group of skilled, hourly workers to troubleshoot and repair complex equipment and processes. This position requires the ongoing application and enforcement of the National and Local UAW Agreements. Candidates must possess technical expertise to oversee and support maintenance operations, exercising independent judgment within the framework of Global Manufacturing Systems, with a focus on Safety, People, Quality, Responsiveness, Cost, and Environment (SPQRCE)
Selected candidates will gain the chance to develop new skills while contributing to the advancement of manufacturing processes that support the groundbreaking shift toward electric and autonomous vehicles.
What You'll Do (Responsibilities):
Analyze and respond promptly to the manufacturing daily plan, making necessary adjustments to operations as required
Manage multiple tasks in a fast-paced environment with competing priorities
Drive accountability through people and processes which may require difficult conversations
Conduct appropriate checks and tests, and communicate evaluation of results
Proactively offers solutions to operational or technical issues
Perform preventative maintenance and diagnosis of equipment malfunctions
Maintains productivity and quality in line with organizational standards
Implement divisional and corporate policies and safety and good housekeeping practices
Maintain frequent contact and collaboration with others outside of the work group
Supervises the efficient use of labor, inventory, and machinery
Establish a course of action to accomplish completion of the job and/or project
Specific physical requirements of the position include the ability to:
Work in a loud manufacturing environment that may not be climate controlled (conditions can be hot or cold)
Possess good physical stamina and coordination to frequently and repetitively:
Bend, twist, kneel, crouch and reach to perform work
Lift or carry materials weighing up to 15 lbs. and periodically carry or lift materials weighing up to 40 lbs.
Walk and stand for prolonged periods of time
Occasionally sit, climb (including ladders and lifts) and drive vehicles and equipment
Read standardized work instructions, operate machines and tools, and perform quality inspections
Promptly detect and respond to safety instructions, alarms, and signals
Wear personal protective equipment, for example: safety glasses, gloves, hats, ear plugs, and safety shoes
Your Skills and Abilities (Required Qualifications):
One year of direct team supervisory experience or at least 5 months as an internal GM per diem group leader
Experience reading and understanding electrical, pneumatic, and hydraulic blueprints
Experience solving complex problems and working in a fast-paced environment
Strong interpersonal skills, experience managing conflict and decision making
Experience managing, leading people, and addressing performance concerns
Demonstrate a high analytical ability to solve complex problems
Basic computer proficiency (i.e., Microsoft Word, typing, email, etc.)
Must be willing to work weekends and rotating shifts
18 years of age or older
High School Diploma or equivalent
What Can Give You a Competitive Edge (Preferred Qualifications):
Strong critical thinking and analytical skills
Experience working on multiple projects simultaneously
Willingness to ask questions, take initiative and be resourceful
High level of integrity, ability to deal with ambiguity, self-directed
Experience supervising employees in a union environment
Experience collaborating across multiple functions within a manufacturing setting
Compensation:
The expected base compensation for this role is: $67,900.00 - $104,100.00. Actual base compensation within the identified range will vary based on factors relevant to the position.
Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.
Benefits:
GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.
About Us
The AI Cloud and Developer Infrastructure organization is responsible for delivering and maintaining the tools and services engineers here at GM use every day to do their best work and drive our cars forward. Tools and services we work on enhancing the entire development process of engineers at GM — how/where code is checked out, modified, compiled, tested, merged, and eventually deployed. Our goal is to ensure our AV engineers and others here have world class tools and a seamless development experience so that they can focus on the problems that matter most in their domain.
The Role
We are looking for a Senior Engineer with an extensive engineering background, experience using a variety of developer tools and technologies, and who is passionate about developer productivity. As a leader on this team, we are looking for someone who cares deeply about the technical development of other engineers on the team and can effectively balance the needs and priorities of the business, our users, and the growth of our engineers.
The way this engineer will deliver impact may vary depending on the situation, but they will be expected to be able to identify how they can best have impact with minimal guidance.
The Team
The Continuous Integration (CI) Platform team owns our CI infrastructure along with the tools that improve the CI customer experience. We are part of the AI and Cloud Developer Productivity Organization and own the building blocks to produce high quality CI experiences and workflows. This includes services such as the Remote Build Execution (RBE) service which allows GM AI to reliably test at scale and the build artifact storage which is a FUSE based network file system used in conjunction with RBE. Our goal is to accelerate AV development by supporting developer workflows for building, testing, and releasing software.
As part of the CI Platform team, you will specialize in RBE (Remote Build Execution) and our in-house FUSE file system used for: CI, ML Training, Simulation, and Remote Build. You will support and extend this system by working with internal customers to help them integrate their tools that rely on source code to the in-house FUSE file system. This role's primary focus will be enabling source code editing in a developer environment from our FUSE file system.
What You’ll Do (Responsibilities)
Collaborate with engineers across the company to understand and support their development workflows.
Own technical projects from start to finish and be responsible for major technical decisions and tradeoffs.
Lead complex projects that span teams, with many partners and customers.
Effectively participate in planning, code reviews, and design discussions.
Contribute impactful projects to the team’s roadmap.
Thrive in a fast-paced, collaborative work environment where impact is a result of your efforts and where your contribution is highly visible.
Drive software engineering best practices both within our team and across engineering. Create tooling that encourages and supports these practices.
Mentoring and up-leveling other engineers on the team.
Conduct technical interviews with well-calibrated standards and play a crucial role in recruiting activities.
Be a positive contributor to our team culture.
Minimum Qualifications
3+ years of experience designing, building and operating production systems at scale in the cloud
Bachelors Degree in Computer Science or related field or equivalent work experience
Experience designing highly scalable, reliable, and maintainable services
Experience writing in Go, Python, or other languages at production scale
Understanding of Unix/Linux, SSH, and networking fundamentals
Attention to detail, and a desire to improve processes and systems around you
Ability to lead and influence others, both internal and external to the team
Ability to research, document, communicate, and defend proposals, and provide and take critical feedback
Ability to effectively make trade-offs and communicate the reasoning
Ability to manage competing priorities, focus on shipping, and work effectively under pressure
Passion for mentoring and growing junior engineers
Passion for self-driving technology and its potential impact on the world
Preferred Qualifications (Nice-to-Have)
Experience working with GCP
Experience working with Docker and Kubernetes
Experience owning or contributing to Open-Source projects
Compensation: The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of New York, Colorado, California, or Washington.
The salary range for this role: is $170,600 to $261,300. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.
Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.
Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.
The Adversary Operations team is responsible for adversary emulations that test current capabilities, processes, and documentation, drive new cyber detection capability, and establish the baseline for strategic hunts. The Senior Cybersecurity Engineer will perform tactical purple operations, repeatable MSV-based testing, custom tooling, cloud and platform testing, and the annual red exercise used to validate security operations alerting and processes.
What You’ll Do:
Lead and execute tactical purple team operations aligned to real adversary tactics, including persistence, privilege escalation, lateral movement, and command-and-control testing.
Design and run strategic, multi-step adversary emulation exercises that validate detections, processes, and team response across the enterprise.
Build repeatable validation workflows using MSV and related tooling to continuously test visibility, logging, detections, and control effectiveness.
Develop and enhance innovative adversary tooling, including custom C2, payload development, automation, and infrastructure required to support AO operations.
Partner with Detection Engineering, Incident Response, and other cyber verticals to turn AO findings into improved detections, integrations, documentation, and threat hunting outcomes.
Support AO innovation priorities across platforms, logging, cloud infrastructure, and cross-team integrations, including AWS, GCP, and Azure-related attack validation and infrastructure setup.
Help mature AO capability in advanced and emerging areas such as cloud and SaaS tactics, endpoint tactics across multiple operating systems, AI-related tactics, and infrastructure-focused adversary tradecraft.
Produce clear technical documentation, attribution, findings, and recommendations that feed operational improvements and future exercises.
Your Skills & Abilities (Required Qualifications):
Significant hands-on experience in cybersecurity operations, adversary emulation, purple teaming, red teaming, threat hunting, or detection engineering.
Strong understanding of attacker tactics, techniques, and procedures and the ability to translate them into repeatable testing scenarios.
Experience with endpoint, cloud, network, and logging technologies used to validate detections and visibility gaps across enterprise environments.
Experience building or using offensive and validation tooling such as payloads, C2 frameworks, automation, scripting, and infrastructure for safe adversary testing.
Ability to collaborate across verticals and help coordinate actions that improve Cyber Defense outcomes at scale.
Strong written and verbal communication skills with the ability to document findings, explain operational risk, and influence detection and response improvements.
What Will Give You a Competitive Edge (Preferred Qualifications):
Experience with MSV or similar security validation tooling and the ability to create custom repeat actions for visibility validation.
Experience in cloud and SaaS adversary tactics, including web and API attack paths.
Experience supporting automotive, manufacturing, or other complex operational environments where security validation spans multiple technology domains.
Familiarity with ATT&CK-aligned reporting, detection engineering feedback loops, and enterprise purple team programs.
#LI-SB3
General Motors has a need for qualified Mechanical Journeypersons (i.e. millwrights, pipefitters, toolmakers, and machine repairman.) You will work under minimal supervision with a high level of independent judgement and problem solving. You should be flexible enough to take on and tackle multiple job assignments in a shift.
Preferred Experience Includes:
Experience with planned maintenance systems and predictive technologies
Experience with industrial robotics, automation, and conveyance systems
Primary Responsibilities:
Follow established safety procedures according to OSHA standards and company procedures
Maintain, dismantle, repair, and replace mechanical and hydraulic components (e. g. bearings, seals, details, carriers, etc.) on industrial machinery such as shafting, motors, generators, air compressors, engines, pumps, cylinders, gears, couplings, linkages, ball screws, high speed CNC spindles, coolant systems and filters, and combustion equipment and valves
Layout, assemble, fabricate, maintain, and repair piping systems
Use various hand or power tools for measuring, cutting, threading, grooving, bending, soldering, assembling, joining, and installing pipes, valves, and fittings
Read and interpret blueprints for the mechanical operation and assembly of conveyor systems, material handling systems, robots, and other automation
Operate mobile equipment (e.g. forklifts, vertical lifts, cranes)
Determine loading requirements to rig equipment and material for lifting
Set up and operate conventional or computer numerically controlled (CNC) machine tools such as lathes, milling machines, and grinders to cut, bore, grind, or otherwise shape parts to prescribed dimensions and finishes
Fabricate punches, tools, steel rule tools and t-sets to exact specifications
Plan sequences of operations for fabricating tools or assemblies using blueprints, sketches, or models
Determine quality of finished products, ensuring defect-free parts, by verifying dimensions, alignment, and clearances for conformance to specifications using measuring instruments such as calipers, gauge blocks, micrometers, and dial indicators
U.S. Department of Labor Completion of Apprenticeship Certificate in Mechanical trade (millwright, pipefitter, toolmaker, machine repair) or six (6) years of documented experience in a Mechanical trade
Must be able to satisfactorily complete the General Motors hiring process requirements which include comprehensive assessments, hair drug testing, and a background check
At least 18 years of age
Eligible to work in the United States
Must be willing to work flexible shift hours and day, afternoon, or night shifts as well as overtime hours daily, weekend and holidays on those shifts with little notice
This position may be filled with a Journeyperson or Journeyperson In Training, the compensation ranges for a JIT include ($37.64 - 43.91) or Journeyperson rate of $44.81. Certificates/credentials and scoring in interview will determine your status and pay.
GM DOES NOT PROVIDE IMMIGRATION-RELATED SPONSORSHIP FOR THIS ROLE. DO NOT APPLY FOR THIS ROLE IF YOU NEED OR WILL NEED GM IMMIGRATION SPONSORSHIP TO WORK OR TO REMAIN EMPLOYED AT GM (e.g., H-1B, TN, STEM OPT, etc.).
If you are a current GM employee operating under a collective bargaining agreement, please contact your local HR/LR for employee placement opportunities.
Physical Requirements
Quick response to safety instructions, alarms, and signals are a must
Ability to work and stand for extended periods
Comfortably wear personal protective equipment
Navigate a busy environment
Bend, twist, kneel, crouch, and reach
May need to lift or carry materials weighing up to 50 lbs. depending on department
Occasional sitting during certain tasks
Drive mobile equipment when needed
General Motors UAW hourly employment offers a very competitive compensation and benefit package. An annual incentive payout is also available, as qualified.
Relocation and travel expenses will be the responsibility of the applicant.
Please note – per the labor agreement between GM and the UAW, GM may share information and documentation relating to the credentials of applicants for this position (e.g., resumes, journeyperson cards, interview notes, certificates, etc.) with UAW personnel who have a need to know as part of their role on the UAW skilled trades team.
This role is categorized as on-site. This means the successful candidate is expected to locate in Liuzhou full time.
The Role
The SGMW Export Manager will play critical role in continuous growth of export business. This role involves managing and building relationships with overseas partners, ensuring compliance with global business & safety regulations, and driving business growth in foreign export markets. The Export Manager will work closely with other departments with SGMW and the GM markets to ensure smooth and profitable export activities.
What You’ll Do
Act as important interface between GM markets and SGMW to develop portfolio opportunity, overseeing program development, coordination with cross-functional (and cross-geographical) teams to ensure successful program delivery.
The position will work closely with the managers of SGMW OBD (SGMW’s Export Department) and report to GM China Export Director (secondee in SGMW).
Strategy and Business Development
Execution
Stakeholders Management
Communicate program status, updates, and key decisions to stakeholders at all levels of the organization
Your Skills & Abilities (Required Qualifications)
The Role
This is a unique opportunity to become part of a diverse team comprising advanced analytics professionals. Together, we spearhead the discovery of opportunities and craft solutions, advancing analytics initiatives across our global operations. This role applies leading analytic practices and methods, designs and leads iterative development and learning cycles, and ultimately produces new and creative analytic solutions that become part of the operating fabric of the global enterprise.
What You'll Do
Your Skills & Abilities (Required Qualifications)
What Can Give You a Competitive Advantage (Preferred Qualifications)
This job may be eligible for relocation benefits.
Compensation:
GM DOES NOT PROVIDE IMMIGRATION-RELATED SPONSORSHIP FOR THIS ROLE. DO NOT APPLY FOR THIS ROLE IF YOU WILL NEED GM IMMIGRATION SPONSORSHIP NOW OR IN THE FUTURE. THIS INCLUDES DIRECT COMPANY SPONSORSHIP, ENTRY OF GM AS THE IMMIGRATION EMPLOYER OF RECORD ON A GOVERNMENT FORM, AND ANY WORK AUTHORIZATION REQUIRING A WRITTEN SUBMISSION OR OTHER IMMIGRATION SUPPORT FROM THE COMPANY (e.g., H-1B, OPT, STEM OPT, CPT, TN, J-1, etc.)
#LI-CC1
]]>At General Motors, we're redefining mobility through a combination of advanced hardware, intelligent software, and human-centered design. As we transform into a software-defined vehicle company, we're building the technology that powers safer, smarter, and more connected transportation experiences for millions of customers around the world.
From next-generation connectivity and autonomous driving technologies to cutting-edge battery systems and vehicle architectures, our teams are developing innovations that will shape the future of mobility for decades to come.
General Motors is accelerating investments in in-house hardware and RF system design to improve product quality, increase development speed, and drive innovation across our vehicle portfolio.
We are seeking an Senior RF Desense Engineer to play a key role in identifying, analyzing, and resolving RF interference issues across GM's next-generation vehicle platforms. This position focuses on hands-on RF testing, desense analysis, debug, and validation activities that ensure reliable performance of critical wireless systems, including cellular, Wi-Fi, Bluetooth, GNSS, UWB and other vehicle connectivity technologies.
This is an excellent opportunity for an engineer who enjoys solving complex technical challenges, working in laboratory environments, and collaborating across hardware, software, and systems engineering teams to deliver world-class vehicle performance.
What You'll Do
RF Desense Analysis & Investigation
RF Testing & Validation
Debug & Root Cause Analysis
Design Support & Mitigation Development
Cross-Functional Collaboration
Documentation & Continuous Improvement
What You'll Bring
Required Qualifications
Technical Skills
Preferred Qualifications
What You'll Gain
Join us as we build the next generation of connected vehicles and redefine what mobility can be.
Compensation: The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position, as well as geography of the selected candidate.
• The salary range for this role is $125,200 - 192,700 . The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.
• Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.
Benefits:
• Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.
#LI-JK3
]]>REQUIREMENTS : Bachelor's degree in Electronics Engineering, Electrical Engineering, Mechanical Engineering, or related field of study and Five years of experience as a Developer or related occupation. Five years of experience with Embedded controls and controls software development. Three years of experience with Software coding including C-language, Simulink, MATLAB, DOORS, GIT environments; plant modeling, and analysis tools; Control system theory and application to embedded systems including state space feedback control, adaptive control, or model predictive control; and Brake Control, Chassis Control or Battery High Voltage, Vehicle Energy Transfer, Charging or Automotive System. Two years of experience with Electrification and diagnostics; JIRA; and MIL, SIL, HIL or CPUU Testing.
#LI-DNI
]]>We are looking for a Staff Machine Learning Engineer to serve as a technical leader for automated map reconstruction within our Mapping Engineering team.
In this role, you will architect and deliver end-to-end ML and computer vision pipelines that reconstruct, validate, and maintain map primitives (e.g., lanes, boundaries, traffic controls, signs) from large-scale sensor data. Your work will directly power next-generation maps that operate reliably across national deployments and evolving road conditions.
This is a hands-on technical leadership role. You will operate with high autonomy, define technical strategy in ambiguous problem spaces, and lead cross-functional efforts spanning Mapping, Perception, Localization, Simulation, and Infrastructure. You will also mentor senior engineers and help raise the ML and CV bar across the organization.
Architect and lead ML-driven map reconstruction systems that operate at national scale using multi-modal sensor data (camera, lidar, radar, vehicle signals).
Design and implement end-to-end pipelines for offline map reconstruction, including data mining, labeling strategies, model training, evaluation, and production deployment.
Define technical strategy and system architecture for next-generation mapping capabilities, balancing ML innovation with robustness, safety, and operational scalability.
Lead the development and adoption of state-of-the-art computer vision and ML techniques (e.g., detection, segmentation, 3D reconstruction, BEV representations) applied to mapping problems.
Own cross-functional technical initiatives, working closely with Perception, Localization, Simulation, and Platform teams to define interfaces, data contracts, and integration points.
Drive technical excellence through design reviews, mentorship, and technical guidance for senior and staff-level engineers across teams.
Diagnose and resolve system-level issues across data pipelines, ML models, and production workflows.
Serve as a Subject Matter Expert (SME) for ML-based mapping and reconstruction within Mapping and across the AV organization.
Contribute to technical roadmaps, hiring, and capability building for ML and CV expertise within the Mapping org.
5+ years of experience building and deploying machine learning or computer vision systems in production environments.
Strong foundation in computer vision, machine learning, or robotics, with hands-on experience designing and training ML models.
Proficiency in Python for ML development; familiarity with C++ or other systems languages is a plus.
Experience building large-scale data pipelines for ML, including dataset curation, labeling workflows, training, and evaluation.
Proven ability to lead complex, cross-functional technical initiatives with high autonomy and influence.
BS, MS, or PhD in Computer Science, Electrical Engineering, Robotics, or a related technical field, or equivalent industry experience.
Strong systems thinking — ability to reason about end-to-end ML systems, not just individual models.
Experience with mapping, localization, perception, or robotics systems, particularly in autonomous driving or mobile robotics.
Hands-on experience with 3D perception, BEV representations, or multi-view geometry.
Familiarity with AV sensor data (camera, lidar, radar) and real-world data challenges (noise, drift, long-tail scenarios).
Experience deploying ML models into production pipelines with monitoring, validation, and iteration loops.
Exposure to simulation-based validation, synthetic data, or map change detection workflows.
Experience mentoring senior engineers or acting as a technical lead across multiple teams.
Compensation: The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of New York, Colorado, California, or Washington.
The salary range for this role: is $185,100 to $335,300. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.
Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.
Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.
Company Vehicle: Upon successful completion of a motor vehicle report review, you will be eligible to participate in a company vehicle evaluation program, through which you will be assigned a General Motors vehicle to drive and evaluate. Note: program participants are required to purchase/lease a qualifying GM vehicle every four years unless one of a limited number of exceptions applies.
#GM-AV-1
]]>A Journeyperson Pipefitter is a driven, determined and ambitious tradesman who is responsible for installing, assembling, fabricating, maintaining and repairing of mechanical piping systems to improve functionality.
Preferred Experience Includes:
Experience with planned maintenance systems and predictive technologies
Experience with industrial robotics, automation, and conveyance systems
Primary Responsibilities:
Follow established safety procedures according to OSHA standards and company procedures
Maintain, dismantle, repair, and replace mechanical and hydraulic components (e. g. bearings, seals, details, carriers, etc.) on industrial machinery such as shafting, motors, generators, air compressors, engines, pumps, cylinders, gears, couplings, linkages, ball screws, high speed CNC spindles, coolant systems and filters, and combustion equipment and valves
Layout, assemble, fabricate, maintain, and repair piping systems
Use various hand or power tools for measuring, cutting, threading, grooving, bending, soldering, assembling, joining, and installing pipes, valves, and fittings
Read and interpret blueprints for the mechanical operation and assembly of conveyor systems, material handling systems, robots, and other automation
Operate mobile equipment (e.g. forklifts, vertical lifts, cranes)
Determine loading requirements to rig equipment and material for lifting
Set up and operate conventional or computer numerically controlled (CNC) machine tools such as lathes, milling machines, and grinders to cut, bore, grind, or otherwise shape parts to prescribed dimensions and finishes
Fabricate punches, tools, steel rule tools and t-sets to exact specifications
Plan sequences of operations for fabricating tools or assemblies using blueprints, sketches, or models
Determine quality of finished products, ensuring defect-free parts, by verifying dimensions, alignment, and clearances for conformance to specifications using measuring instruments such as calipers, gauge blocks, micrometers, and dial indicators
Interested individuals must meet the following minimum qualifications:
At least six (6) years of related experience in a Mechanical trade (millwright, pipefitter, toolmaker, machine repair) or a U.S. Department of Labor Certificate of Completion in a Mechanical trade (millwright, pipefitter, toolmaker, machine repair).
Must be able to satisfactorily complete the General Motors hiring process requirements which includes comprehensive assessments, drug testing, and a background check
At least 18 years of age
Eligible to work in the United States
Must be willing to work flexible shift hours and day, afternoon, or night shifts as well as overtime hours daily, weekend and holidays on those shifts with little notice
GM DOES NOT PROVIDE IMMIGRATION-RELATED SPONSORSHIP FOR THIS ROLE. DO NOT APPLY FOR THIS ROLE IF YOU NEED OR WILL NEED GM IMMIGRATION SPONSORSHIP TO WORK OR TO REMAIN EMPLOYED AT GM (e.g., H-1B, TN, STEM OPT, etc.).
If you are a current GM employee operating under a collective bargaining agreement, please contact your local HR/LR for employee placement opportunities.
This position may be filled with a Journeyperson or Journeyperson In Training, the compensation ranges for a JIT include ($37.42-$43.66) or Journeyperson rate of $44.55. Certificates/credentials and scoring in interview will determine your status and pay.
Physical Requirements
Quick response to safety instructions, alarms, and signals are a must
Ability to work and stand for extended periods
Comfortably wear personal protective equipment
Navigate a busy environment
Bend, twist, kneel, crouch, and reach
May need to lift or carry materials weighing up to 50 lbs. depending on department
Occasional sitting during certain tasks
Drive mobile equipment when needed
General Motors UAW hourly employment offers a very competitive compensation and benefit package. An annual incentive payout is also available, as qualified.
Relocation and travel expenses will be the responsibility of the applicant.
Please note – per the labor agreement between GM and the UAW, GM may share information and documentation relating to the credentials of applicants for this position (e.g., resumes, journeyperson cards, interview notes, certificates, etc.) with UAW personnel who have a need to know as part of their role on the UAW skilled trades team.
]]>
Hybrid: The successful candidate is expected to report to Milford, MI three times per week, at minimum, or as dictated by the business.
The Role:
As a Software Engineer at GM, you will be a part of the Vehicle Mechatronic Embedded Controls (VMEC) team, working in the Electrification Propulsion domain both for EV and HEV products, focusing on optimal hybrid engine speed / torque selection, optimization for energy efficiency, charge mode determination, drive unit sensors and actuators management, among other things.
You will design, implement, and test software solutions rolled out to all of GM’s EV and Hybrid portfolio based on Vehicle Intelligent Platform (VIP) and Software Defined Vehicle (SDV 2.0) electrical architectures. Your work will contribute directly to GM's vision of a world with ZERO Crashes, ZERO Emissions, and ZERO Congestion.
What You’ll do:
Produce or deliver software for embedded controls systems in the electrification propulsion domain
Design, development and implementation of Physics and Controls requirements to continuously improve software for mechatronic controls and diagnostic strategies as well as controller communication.
Test & demonstrate software functionality & readiness
Supply common solutions across all GM owned software
Document requirements for design solutions and link them to test cases that can demonstrate software functionality
Utilize automated Continuous integration Continuous deployment (CI CD) build environments, test tools, benches, and vehicles to verify functionality of the feature at the unit, integration, Controller, System and Vehicle level
Team Collaboration:
Function as an inclusive Agile Scrum team member to deliver software solutions
Coordinate and collaborate with systems, calibration, hardware, software quality assurance engineers
Have a voice in software planning events, share ideas & learnings and help teach/train others
Your Skills & Abilities (Required Qualifications):
BS in Engineering – Electrical, Mechanical, Computer or BS in Computer Science
Minimum 2+ years of experience with proven technical and professional skills in job-related area – embedded controls software
Proficient in MATLAB, Simulink, C, C++ programming
Experience with Jira and agile software development framework
Experience with software testing
Experience with Auto Code Generation
Knowledge of test scripting using Python
Emerging levels of interpersonal and relationship management skills to effectively collaborate with varying levels of the organization as required
Emerging partnership and teamwork skills and ability to learn from and share knowledge with co-workers in a fast-paced environment
High level of integrity, ability to deal with ambiguity, take initiative/self-directed.
Customer-centric focus with solution development
What Will Give You a Competitive Edge (Preferred Qualifications)
MS in Engineering, Electrical, Mechanical, Computer or Computer Science
5+ years of experience with proven technical and professional skills in job-related area – embedded controls software
Knowledge and experience with automotive serial data communication like CAN, Ethernet communications protocol
knowledge of Software architecture principles and best practices
knowledge of embedded operating systems, controller communication and diagnostics.
The Role:
General Motors is a global leader in advanced driver assistance. With Super Cruise hands-free technology in more than 500,000 Super Cruise-equipped vehicles on the road, and over 700 million hands‑free miles driven, GM is proving that automation can be trusted, intuitive, and helpful. GM has the global reach to bring cutting‑edge advances to everyday drivers at an unprecedented scale. Join us to help deliver the next generation of safe and delightful personal autonomous vehicle experiences.
About the Organization:
The Simulation team, part of the Autonomous Vehicle organization, is responsible for developing and advancing the simulation ecosystem that enables the growth and maturity of GM’s autonomous driving technology. We develop scalable tools, workflows, and analysis capabilities that enable data-driven decisions across AV development, testing, and validation. Partnering with Autonomy, Systems, Safety, and other cross-functional teams, we provide the simulation foundation needed to assess system behavior, improve development velocity, and support end-to-end AV quality. We own large-scale scenario libraries, test and evaluation pipelines, and core infrastructure that support virtual testing, data analysis, model development, and validation within a unified framework. By joining this team, you will help shape GM’s core simulation platforms, turn complex system behavior into actionable insights, and accelerate the development of safe, scalable autonomous vehicles.
What You’ll Do:
Design, build, and maintain large-scale test infrastructure and evaluation pipelines that enable and quantify the accuracy, reliability, and efficiency of simulation tests used for autonomous vehicle software validation.
Develop and maintain GM’s core simulation dashboards and reports, delivering clear, actionable, and interpretable insights on test operations, simulation trust and health trends to engineering teams and leadership.
Drive scalable simulation quality assessments, standardized processes, and automation to support seamless integration of automated outputs with human-in-the-loop analysis and evaluation.
Collaborate with cross-functional partners across Autonomy, Systems, Safety, and customer teams to define, refine, and drive consensus on simulation validation methodologies and requirements.
Uphold high standards for code quality and software architecture through code reviews and technical leadership, mentoring other engineers on software engineering and simulation testing best practices.
Leverage AI-assisted development tools and analytics platforms to enhance productivity, improve code quality, and drive innovation in simulation testing.
What You Must Have:
5+ years of applied experience developing complex evaluation, simulation, or test frameworks.
Proficient in developing Python for production systems, including unit testing, code review, performance tradeoffs, and reliability best practices.
Demonstrated ability to drive technical design and execution across multiple teams and organizations in a remote or distributed environment.
Strong communication and collaboration skills.
BS, MS, or PhD in Computer Science, Engineering, or equivalent experience.
What Will Give You a Competitive Edge:
Experience testing and evaluating robotics systems or autonomous vehicles, including working on simulation frameworks.
Experience working on test strategies and validation for safety-critical products.
A strong, data-driven curiosity to investigate anomalies and systematically root-cause discrepancies.
Familiarity with SQL, time-series data analysis, performance monitoring tools and dashboarding systems (e.g., Looker, Streamlit).
Hybrid/Remote:
This role can be based remotely but if you live within a 50-mile radius of Sunnyvale or Mountain View you are expected to report to that location three times per week.
*This job may be eligible for relocation benefits if you are interested in relocating to the bay area.
Compensation
The salary range for this role is $129,400 and $198,400. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.
Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.
Benefits
GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.
#LI-TO1
Compensation: The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of New York, Colorado, California, or Washington.
Benefits:
Relocation: This job may be eligible for relocation benefits.
Remote/Hybrid: This role is based hybrid from Warren, MI. You are expected to report to that location three times a week, at minimum.
]]>This role is categorized as on-site. This means the successful candidate is expected to report to Advance Technical Center in Shanghai, China full time.
The Role -
As a System Engineer, you will work on vehicle domain controllers, ADAS, and related applications. You will be responsible for the end-to-end engineering lifecycle, from requirements analysis and system design to validation platform development, integration, validation, and issue resolution. This role requires capabilities across system architecture, software development, and validation, with approximately 50% of the work involving hands-on activities such as coding, environment setup, and system debugging. You will also be expected to proactively clarify requirements, drive solution convergence, and deliver results when objectives or boundaries are not yet fully defined.
Your Skills & Abilities (Required Qualifications)
What Can Give You a Competitive Advantage (Preferred Qualifications)
Hybrid :
This role is categorized as hybrid. The selected candidate is expected to report to Warren, MI or Sunnyvale, CA at least three days per week (Tuesday–Thursday).
Our Mission:
At General Motors, our product teams are redefining mobility. Through a human-centered design process, we create vehicles and experiences that are designed not just to be seen, but to be felt. We’re turning today’s impossible into tomorrow’s standard —from breakthrough hardware and battery systems to intuitive design, intelligent software, and next-generation safety and entertainment features.
Every day, our products move millions of people as we aim to make driving safer, smarter, and more connected, shaping the future of transportation on a global scale.
The Ideal Candidate:
Connectivity is a critical enabler of advanced vehicle functionality, including safety, user experience, and cloud-connected services. We are seeking a Senior Hardware Engineer to lead the design and system integration of next-generation automotive connectivity platforms across GM vehicle architectures.
The ideal candidate has strong experience in hardware architecture, system bring-up, and cross-functional integration of complex embedded systems combining high-performance compute and wireless connectivity.
They are comfortable operating across hardware, firmware, and RF domains to drive system-level decisions and resolve complex issues.
The Role:
The Senior Hardware Engineer will lead the design, architecture, and system integration of connectivity modules across GM vehicle platforms. This includes defining system architecture, driving schematic and PCB design execution, leading board bring-up, and ensuring robust system performance across all operating conditions.
This role requires end-to-end ownership, from concept through production, with strong collaboration across silicon vendors, RF, firmware, mechanical and thermal.
What You’ll do:
Own end-to-end hardware design and bring-up of connectivity modules from concept through production.
Define system architecture, including SoC selection, memory (LPDDR), power architecture, and high-speed interfaces (PCIe, USB, Ethernet).
Drive schematic design reviews and guide PCB layout, ensuring strong SI/PI, RF coexistence, and manufacturability.
Lead board bring-up, including power sequencing, clocking, reset, and boot initialization.
Drive system-level integration across hardware, firmware, RF, and mechanical domains.
Perform root-cause analysis of complex, cross-domain issues, including interactions between silicon, board design, RF, and software.
Make system-level tradeoffs across performance, power, cost, thermals, and reliability.
Validate high-speed interfaces including LPDDR5, PCIe, USB, Ethernet, SPI/I2C, CAN, and LIN.
Debug multi-domain issues such as RF desense, power noise coupling, and signal integrity degradation.
Collaborate with silicon vendors (e.g., Qualcomm, NXP, TI) on SoC bring-up and interface behavior.
Collaborate with firmware and software teams to enable platform functionality and debug system issues.
Define validation strategy and coverage, ensuring system-level robustness across corner cases and operating conditions.
Leverage lab instrumentation (oscilloscopes, VNAs, spectrum analyzers, logic analyzers) to characterize and debug system performance.
Your Skills & Abilities (Required Qualifications):
Bachelor’s degree in Electrical Engineering, Computer Engineering, Computer Science or related field.
5+ years of experience in hardware development, including board design, system bring-up, and debugging.
Strong experience designing and integrating complex embedded hardware systems.
Experience with SoC-based systems, including power architecture, clocks, resets, and boot flows.
Experience with high-speed digital design (PCIe, USB, Ethernet, LPDDR) including signal and power integrity considerations.
Proven ability to debug system-level issues across hardware, firmware, and RF domains.
Experience with power delivery design, PMICs, Voltage regulators, low-power design principles, and deep sleep/wake-up flows.
Strong problem-solving skills with ability to navigate complex, ambiguous system issues.
Ability to independently drive technical decisions and influence cross-functional teams.
What Will Give You a Competitive Edge (Preferred Qualifications):
Master’s degree in related engineering field.
8+ years of experience in hardware development, including board design, system bring-up, and debugging.
Knowledge and experience in wireless interfaces and technology.
Experience with automotive hardware development (EMI/EMC, environmental, reliability).
Experience supporting products through production ramp and field issue resolution.
Benefits:
GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.
Compensation:
The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of New York, Colorado, California, or Washington.
The expected base compensation for this role is: $135,000 - $209,000. Actual base compensation within the identified range will vary based on factors relevant to the position.
REQUIREMENTS: Bachelor's degree in Electrical Engineering, Mechanical Engineering, Computer Engineering, Software Engineering, Aerospace Engineering, Computer Science, or related field of study and Two (2) years of experience as a Electrical Engineer or related occupation. Requires two (2) years of experience with the following: Developing microprocessor-based, real-time control calibrations or algorithms and software in high level language; High voltage, propulsion or chassis control systems in the controls development or testing or calibration areas; HiL benches (e.g. dSPACE), Simulink, Stateflow, ETAS INCA and Vehicle Spy; Programming in Python; Jira; Vehicle testing or validation and verification at the subsystem or system level; and Automated testing.
#LI-DNI
]]>REQUIREMENTS: Bachelor’s degree in Mechanical Engineering, Manufacturing Engineering, Automotive Engineering, or related field of study. Two (2) years of experience as a Maintenance Area Supervisor, Senior Engineer – Trim, Manufacturing Engineer, or related occupation. Must also have two (2) years of experience with: Manufacturing Engineering, including Program Iaunch, Execution, and Assembly Plant; and Product design compliance with manufacturing requirements and assembly plant processes. One (1) year of experience with: Systems Manufacturing Engineering processes, including Manufacturing Planning Studies, Value added Assembler, Manufacturing Requirements Data Base, Engineering Changes Database, Issue, Best practice, Manufacturing Requirements databases, Design for Assembly, Process Failure Mode Analysis System and processes; Global Vehicle Development process, Global Launch Process, Problem Resolution Tracking System, and Lean Material Strategies, Bill of Equipment, Bill of process; Development of new vehicle programs including
assembly build of process, manufacturing requirements, vehicle systems global strategies and inter-buildability and flexibility requirements; and Vehicle assembly manufacturing plants including product and process designs during early development of new vehicle programs.
#LI-DNI
]]>Work Arrangement: This position is categorized as hybrid on NIGHT SHIFT. This means the successful candidate is expected to report to the office three times per week or other frequency as dictated by the business.
The Role
The Global Ops Coe in Manila is a developing team about world class delivery, customer support, driving a disruptive shift in strategy, structure, systems, processes, and technology across the enterprise under GM Sales Services and Marketing (SSM) function.
As part of the transition of GM’s software platforms to Databricks and AI platforms - the team is evolving its data reporting, data analytics and overall data management processes:
What You'll Do
Unify existing sales reports into a single, connected view of the end-to-end sales funnel, enabling consistent tracking from customer traffic to vehicle delivery
Improve sales performance by identifying conversion gaps and inventory inefficiencies and enabling faster, data-driven decisions
Establish a foundation for intelligent analytics with standardized KPIs and AI-driven insights, evolving from static reporting to proactive sales management
Create a unified semantic layer on Databricks / Databricks Visualizer for consistent reporting
Enhance reports with drilldowns and multi-dimensional analysis
Design, implement and own the Genie-based agent layer for Q&A, diagnostics, and proactive KPI-risk insights (reactive and proactive)
Data Integration: Build and orchestrate ingestion using Azure Data Factory (ADF) into Databricks, including monitoring and error handling, combining all data streams into a central environment (Databricks SQL / Spark)
Data Modeling & Cleansing: Create consistent, validated data models for tracking operational KPIs across the vehicle sales funnel — traffic → delivery, sales conversion, and inventory
Dashboard Development: Design interactive dashboards for operational tracking/metrics and leadership executive summary, primarily on Databricks Visualizer (with Power BI where applicable)
Advanced Analytics: Conduct trend, predictive, and segmentation analysis across the sales funnel (e.g., which factors drive conversion from traffic to delivery, and inventory efficiency)
Process Automation: Replace manual Excel and email-based reports with automated data refreshes and self-service reporting
This role combines data engineering, analytics, and visualization — ensuring data accuracy, faster insights, and scalable reporting
Your Skills & Abilities (Required Qualifications)
Bachelor’s degree in Data Science, Mathematics, Statistics, Computer Science, Sales or Subscription
3-5 Years in Data Engineering / Data Analytics / Data Science or related field
Data governance: Hands-on experience with Unity Catalog and a governed Lakehouse (Bronze/Silver/Gold) to deliver a single source of truth
Databricks: Hands-on Databricks experience (Databricks SQL / Spark)
Data Ingestion & Orchestration: Experience building automated ingestion with Azure Data Factory (ADF) into Databricks, including monitoring and error handling. Strong focus on code, optimization, and modern Lakehouse architecture
Source reality: Proven experience building automated ingestion from semi-structured / file-based sources (e.g., Excel and email-based feeds refreshed daily), not only querying clean relational databases
Data Visualization: Proficiency in building dashboards on Databricks Visualizer (primary reporting platform). Power BI is a required skill; Databricks Genie for natural-language Q&A
AI Integration: Hands-on ability to implement AI/agent-based solutions (Databricks Genie) and design proactive KPI-risk alerts
Data Modeling & Integration: Experience designing data models, relationships, hierarchies, and calculated measures
Database & Querying: Strong SQL skills; ability to query large datasets
Data Preparation: Data transformation for reporting accuracy. Experience with Python or R for advanced analytics or predictive modeling a plus
Reporting Automation: Ability to automate refresh schedules, pipelines, and alerts for reports
Statistical & Analytical Skills: Strong understanding of KPIs, variance analysis, forecasting, and trend detection. Predictive modeling and demand forecasting a plus
What Will Give You A Competitive Edge (Preferred Qualifications)
Ability to think critically, solve problems, make decisions and build trust across the organization
Ability to guide team on multiple tasks and deliver results with aggressive timelines
Excellent interpersonal skills, as well as excellent communication skills, verbal and written
Demonstrate self-motivation and the ability to grasp concepts quickly
Embrace data driven & customer insights to inform plans, launches, and iterations
Highly proficient in oral and written communication skills
Background on emerging technological advancements such as AI
Strong organizational skills with proven track record of efficiently executing complex projects to completion at a high level of quality
Demonstrated high level of interpersonal skills required to effectively collaborate, motivate, and facilitate others in group situations
Desire to work in a complex and evolving environment and to bring an innovation mindset
Comfort working in a fast-paced start-up technology environment is essential
Strong computer software skills, Google Workspace / Google Office experience is a plus
Given expected interaction with Mexico site - ability to speak Spanish is a plus but not required
As a senior engineer, you will help design, build, and safeguard the quality of applications across the GM's Product Validation, Safety & Quality IT (PVSQ) organization, which spans regulatory compliance, safety systems, and quality engineering used across vehicle programs. Depending on your strengths, you may lean toward building end-to-end features across the stack (Quarkus or Spring Boot services, a Next.js/React portal, a relational database, and a Databricks lakehouse) or toward the test automation and quality engineering that keep those systems reliable.
You will have the opportunity to work hands-on writing software or solutions, based on detailed requirements and system specifications. Using sound, repeatable, industry standard methodologies, you will support the PVSQ organization responsible for developing Nextgen applications. As part of development activities, we will update existing software and/or develop new software solutions to target specific business obstacles. A repeatable, systematic, and quantifiable approach to the development process will also be applied along with the use of appropriate methodologies.
As a coach/mentor, you will provide feedback on the software being developed to software developers. Ensure code alignment with design patterns/frameworks by working closely with architects and data scientists.
What You'll Do:
Design and maintain back-end microservices in Java (Quarkus or Spring Boot ) , exposing both REST and GraphQL APIs with well-defined, versioned contracts and shared DTOs.
Build responsive front-end features in the Next.js / React portal using TypeScript and Apollo for GraphQL data access.
Develop and support Databricks data workflows (Unity Catalog, Delta tables, and the medallion pattern) that feed regulatory reporting and dashboards.
Evolve the transactional relational schema (PostgreSQL or Oracle) safely, writing versioned Liquibase changesets that ship through the same pipeline as application code.
Produce clean, well-documented, testable code that aligns with the team's design patterns, frameworks, and standards.
Conduct thorough code reviews and write unit, integration, and end-to-end tests (TestNG, Selenium, cross-browser via BrowserStack) that gate every release.
Diagnose and resolve issues across services, the portal, and data pipelines, using observability tooling (Datadog / App Insights).
Work within the CI/CD pipeline (GitHub Actions, security scanning, promotion dev → test → prod) and help keep main releasable at all times.
Translate business and regulatory requirements into executable development work: break them down, shape the technical approach, and drive it through to delivery in partnership with stakeholders and BAs.
Lead and drive software design for scalability and reusability across the full stack, from the UI down to the database structure.
What You'll Need:
Bachelor's degree in Computer Science or a related field, or equivalent professional experience.
7+ years building and shipping production software , with strong recent depth in Java / JVM (Quarkus or Spring Boot).
Demonstrated full-stack capability: comfortable owning a feature from a Next.js / React / TypeScript front end through a Java service to the data layer, not backend-only.
Proven ability to take a business requirement all the way to running software: owning the end-to-end design (UI through service to database structure) with scalability and reusability in mind, rather than only implementing predefined tickets.
Hands-on experience designing and operating RESTful and GraphQL APIs , including contract/versioning discipline and API security best practices.
Solid experience with a relational database (PostgreSQL or Oracle ) behind transactional services, using an ORM ( Hibernate / JPA , ideally Quarkus Panache ), and managing schema changes with a migration tool ( Liquibase ).
Working knowledge of data-lakehouse platforms for the analytical/reporting side ( Databricks / Delta / Unity Catalog strongly preferred); ability to reason about data models, lineage, and access control.
Experience deploying and running services on Azure : containers ( Docker ), Kubernetes (AKS) , and container registries.
Fluency with Git and GitHub-based CI/CD (GitHub Actions or equivalent): automated build, test, security scanning, and promotion pipelines.
Working knowledge of Infrastructure as Code (Terraform) for provisioning and configuration.
Comfort defining and upholding technical/operational metadata standards, data-movement patterns, and ETL/ELT best practices.
Comprehensive understanding of the SDLC and experience in Agile / Scrum environments.
People Skills
Proven ability to lead development initiatives and drive design decisions, planning and executing deliverables within a collaborative team.
Independent, self-driven, and quick to learn, with strong, thorough problem-solving.
Highly organized and effective at managing multiple priorities in a fast-paced setting.
Exceptional written and verbal communication; able to translate regulatory and stakeholder requirements into actionable technical work and engage clearly with diverse audiences.
What Will Give You a Competitive Edge
Experience with Apache Spark and large-scale data processing on Databricks (DBX job orchestration).
Familiarity with change-data-capture patterns and tooling (e.g., HVR) feeding a medallion lakehouse.
Experience with GHAS (code/secret/dependency scanning), Wiz (container scanning), Dependabot, and secure-SDLC practices.
Experience with feature-flagged, trunk-based delivery and one-button/continuous release models.
Familiarity with AI-assisted development workflows (e.g., Copilot, Cursor) and grounding agents with repo context (AGENTS.md / cross-service dependency maps).
Background in regulated or compliance-driven domains where auditability and reporting deadlines are first-class concerns.
Experience with observability platforms ( Datadog , Azure Application Insights).
This job may be eligible for relocation benefits.
GM DOES NOT PROVIDE IMMIGRATION-RELATED SPONSORSHIP FOR THIS ROLE. DO NOT APPLY FOR THIS ROLE IF YOU WILL NEED GM IMMIGRATION SPONSORSHIP (e.g., H-1B, TN, STEM OPT, etc.) NOW OR IN THE FUTURE.
]]>GM DOES NOT PROVIDE IMMIGRATION-RELATED SPONSORSHIP FOR THIS ROLE. DO NOT APPLY FOR THIS ROLE IF YOU WILL NEED GM IMMIGRATION SPONSORSHIP NOW OR IN THE FUTURE. THIS INCLUDES DIRECT COMPANY SPONSORSHIP, ENTRY OF GM AS THE IMMIGRATION EMPLOYER OF RECORD ON A GOVERNMENT FORM, AND ANY WORK AUTHORIZATION REQUIRING A WRITTEN SUBMISSION OR OTHER IMMIGRATION SUPPORT FROM THE COMPANY (e.g., H-1B, OPT, STEM OPT, CPT, TN, J-1, etc.).
This job may be eligible for relocation benefits.
Onsite: This role is categorized as onsite. This means the successful candidate is expected to report to Grand Rapids, MI on a full-time basis.
Technical Operations Specialist (TOS) - supports production in maintaining, troubleshooting, repairing and problem solving manufacturing process equipment. Candidate must be able to function in a manufacturing maintenance team culture, where lean manufacturing principles are highly integrated. Candidate must be able to work independently under general direction of a supervisor. Work is performed in a manufacturing facility where a considerable amount of creativity and initiative is needed, as well as a high level of independent judgement.
The primary areas of responsibility include, but are not limited to the following:
Qualifications
Basic Required
Electrical Journeyman’s license
Mechanical Journeyman’s license8 + years as maintenance technician / electrician technician
Basic Preferred
Leveling Note
This role is intended for a strong manufacturing engineering individual contributor.
As a Quality, Reliability & Durability (QRD) Engineer at General Motors LLC, you will play a critical role in ensuring the highest levels of product quality, reliability, and durability for our vehicles.
This role connects customer experience, data analytics and product engineering within Vehicle Software and Electronics Engineering Quality (VSEE Quality) to drive both short‑term containment and long‑term quality improvements across global vehicle programs.
You will be instrumental in preventing issues, identifying and resolving problems and continuously improving our manufacturing processes to deliver exceptional products to our customers.
Job Responsibilities:**
Analyze long-term warranty data across VSEE to identify patterns, trends, emerging issues and produce summary of findings needed for handoff to responsible QRD
Represent VSEE QRD in CPIT / Focus CPIT, SMT Core PDT, QRD Reviews, daily and weekly QRD calls and other escalation forums as required.
Create automation/dashboards for the analysis
Support plan and implement target sufficiency actions to address QRD issues, ensuring temporary containment and permanent corrective actions are driven to closure.
Collaborate with Product Engineering teams to integrate quality and reliability considerations into vehicle design and development.
Utilize PRTS (Problem Resolution and Tracking System) to effectively track, analyze and resolve quality issues, implementing robust corrective and preventive actions.
Drive containment and permanent corrective actions for plant and service field.
Engage in Supplier Quality Management to assess and improve the quality performance of external suppliers.
Apply advanced Technical Problem-Solving methodologies to diagnose root causes of complex quality and reliability issues.
Possess a comprehensive understanding of Vehicle Manufacturing Processes to identify opportunities for quality enhancement and defect prevention.
Develop and implement quality metrics and reporting to monitor product performance and drive continuous improvement initiatives.
Provide technical expertise and guidance to manufacturing teams on quality-related matters.
Job Requirements:
Bachelor's degree in Engineering (Mechanical, Electrical, Industrial, or related field).
Demonstrated experience with Advanced Product Quality Planning (APQP) principles and tools.
Proficiency in Process Failure Mode Effects Analysis (PFMEA).
Strong understanding of Product Engineering principles and processes.
Experience with problem resolution and tracking systems (PRTS or similar).
Proven expertise in Supplier Quality Management.
Excellent Technical Problem-Solving skills, with a track record of successful issue resolution.
Experience applying Variation Reduction methodologies.
In-depth knowledge of Vehicle Manufacturing Processes.
Ability to work effectively in a cross-functional team environment.
Strong communication and interpersonal skills.
Preferred Skills:
Familiar with AI solutions/applications.
Expert in Python coding for automation
Experience data analytics, processing large datasets to enable AI/ML-ready outputs.
#LI-SW1
SPONSORSHIP: GM DOES NOT PROVIDE IMMIGRATION-RELATED SPONSORSHIP FOR THIS ROLE. DO NOT APPLY FOR THIS ROLE IF YOU WILL NEED GM IMMIGRATION SPONSORSHIP NOW OR IN THE FUTURE. THIS INCLUDES DIRECT COMPANY SPONSORSHIP, ENTRY OF GM AS THE IMMIGRATION EMPLOYER OF RECORD ON A GOVERNMENT FORM, AND ANY WORK AUTHORIZATION REQUIRING A WRITTEN SUBMISSION OR OTHER IMMIGRATION SUPPORT FROM THE COMPANY (e.g., H-1B, OPT, STEM OPT, CPT, TN, H4 EAD, J-1, etc.)
This job is not eligible for relocation benefits. Any relocation costs would be the responsibility of the selected candidate
Why Join Us
At GM, you’ll be at the forefront of shaping the future of connected, electric, and autonomous vehicles . You’ll work on cutting-edge antenna systems alongside some of the brightest minds in automotive and RF technology — with the resources to make an impact at scale. We offer competitive compensation, growth opportunities, and a culture that values innovation, inclusion, and forward thinking . This is a unique opportunity to lead, innovate, and help millions of customers around the world stay connected on the move .
Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.
Benefits : GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.
Diversity Information
General Motors is committed to being a workplace that is not only free of discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that workforce diversity creates an environment in which our employees can thrive and develop better products for our customers. We understand and embrace the variety through which people gain experiences whether through professional, personal, educational, or volunteer opportunities.
We encourage interested candidates to review the key responsibilities and qualifications and apply for any positions that match your skills and capabilities.
]]>This posting is not for an existing vacancy within the organization and is open to new applications.
AI Disclosure:
As part of the application process, Artificial Intelligence will be used in the hiring process for this role
Work Arrangement : Hybrid: This role is categorized as hybrid. This means the successful candidate is expected to report to Markham or Oshawa office three times per week, at minimum.
The Role
The DDC / RDM platform is the backend system of record for vehicle configuration, campaign delivery, and remote device management at scale — a set of Spring Boot services (with supporting data and eventing infrastructure) that manage device attributes, group targeting, config distribution, and OTA campaigns across a global, multi-region fleet. We're in the middle of a significant modernization push: retiring legacy API versions, hardening authorization across every service, and redesigning our service-to-service network architecture.
What You'll Do (Responsibilities)
Design, build, and operate backend services (Java/Spring Boot) that power device configuration, campaign management, and data-plane connectivity for millions of vehicles.
Lead authorization and security hardening across our API surface, and drive the retirement of legacy (v1–v3) endpoints in favor of a consistent, versioned API strategy.
Own architectural decisions for cross-service communication, event-driven workflows, and observability as the platform expands into new regions.
Reduce structural tech debt in high-traffic services (dependency upgrades, framework migrations, network/security architecture) without slowing feature delivery.
Help evolve our engineering workflows by integrating agentic, model-assisted developer tooling (e.g., automated code-review agents, coding assistants wired into our repos via MCP clients) into day-to-day backend development — improving review quality and cutting routine toil.
Mentor other engineers on service ownership, backend design standards, and operational rigor.
Your Skills & Abilities (Required Qualifications)
5+ years building and operating production backend services, ideally in Java/Spring Boot (or comparable JVM/server-side stacks).
Strong grasp of distributed systems fundamentals: API design and versioning, service-to-service authorization/security, event-driven architecture, and data plane scalability.
Experience leading technical direction on a multi-service platform — not just writing code, but making and documenting architectural trade-offs.
Comfort working with modern, agent-assisted engineering tooling (automated review bots, coding assistants, MCP-based integrations) as part of a normal development workflow.
A track record of shipping tech-debt and security work under real feature-delivery pressure, not just in isolation.
What Can Give You A Competitive Edge ( Preferred Qualifications):
Experience with automotive, IoT, or other large-fleet device-management platforms.
Familiarity with multi-region/OTA delivery systems.
Prior experience standing up or governing agent-based/automated tooling across a multi-repo organization.
Compensation:
The salary range for this role is $115,000 to $164,600. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.
GM DOES NOT PROVIDE IMMIGRATION-RELATED SPONSORSHIP FOR THIS ROLE. DO NOT APPLY FOR THIS ROLE IF YOU WILL NEED GM IMMIGRATION SPONSORSHIP NOW OR IN THE FUTURE.
Benefits Overview
The goal of the General Motors of Canada total rewards program is to support the health and well-being of you and your family. Our comprehensive compensation plan currently includes the following benefits, in addition to many others:
Paid time off including vacation days, holidays, and supplemental benefits for pregnancy, parental and adoption leave;
Healthcare, dental, and vision benefits;
Life insurance plans to cover you and your family;
Company and matching contributions to a Defined Contribution Pension plan to help you save for retirement;
GM Vehicle Purchase Plan for you and your family.
Vacancy Status:
This posting is for an existing vacancy within the organization and is open to new applications.
AI Disclosure:
As part of the application process, Artificial Intelligence will be used in the hiring process for this role
Work Arrangement : Hybrid: This role is categorized as hybrid. This means the successful candidate is expected to report to Markham or Oshawa office three times per week, at minimum.
The Role
As a Continuous Integration Developer (Architect Level) , you will define the architecture, standards, and strategy for how GM builds, tests, and deploys virtualized vehicle software. You’ll leverage your strengths in CI/CD, embedded systems, and automation while expanding into cloud orchestration, IaC, progressive delivery, and data‑driven simulation. This role is ideal for someone ready to broaden their technical impact and shape the future of GM’s virtual development platform.
What You’ll Do ( Responsibilities )
Architect enterprise ‑ scale CI/CD systems for embedded, simulation, and cloud workloads.
Define branching, release, and quality ‑ gate standards across multiple engineering domains.
Design GitOps ‑ based delivery for multi‑cluster Kubernetes environments.
Lead progressive delivery strategy including automated rollback and analysis.
Establish IaC architecture using Terraform modules and multi‑environment patterns.
Integrate security and compliance into pipelines and artifact flows.
Define observability standards for pipelines, simulation workloads, and runtime systems.
Mentor DevOps and simulation developers across the organization.
Your Skills & Abilities ( Qualifications )
Bachelor’s or Master’s degree in Engineering, Computer Science, or related field.
10+ years of relevant experience in CI/CD, DevOps, automation, or software architecture.
Expertise in CI/CD architecture for large distributed systems.
Deep Kubernetes knowledge including cluster operations.
Strong Terraform/IaC experience with production‑grade module design.
Experience with embedded or simulation workflows (vECUs, FMUs, SIL).
Cloud architecture experience across AWS, Azure, or GCP.
Knowledge of security frameworks such as SLSA or OPA.
What Will Give You a Competitive Edge ( Preferred Qualifications )
Experience designing multi ‑ tenant simulation platforms .
Cost ‑ optimization architecture for large‑scale compute workloads.
Understanding of automotive data flows and synchronization patterns.
Experience with event ‑ driven systems and serverless orchestration.
Background in model ‑ based development and code generation pipelines.
Compensation:
The salary range for this role is $137,300 to $203,000. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.
GM DOES NOT PROVIDE IMMIGRATION-RELATED SPONSORSHIP FOR THIS ROLE. DO NOT APPLY FOR THIS ROLE IF YOU WILL NEED GM IMMIGRATION SPONSORSHIP NOW OR IN THE FUTURE.
Benefits Overview
The goal of the General Motors of Canada total rewards program is to support the health and well-being of you and your family. Our comprehensive compensation plan currently includes the following benefits, in addition to many others:
Paid time off including vacation days, holidays, and supplemental benefits for pregnancy, parental and adoption leave;
Healthcare, dental, and vision benefits;
Life insurance plans to cover you and your family;
Company and matching contributions to a Defined Contribution Pension plan to help you save for retirement;
GM Vehicle Purchase Plan for you and your family.
Work Arrangement: This role is categorized as hybrid. This means the successful candidate is expected to report to the office four times per week or other frequency dictated by the business.
What You'll Do
Collaborate with plant teams, SMEs, IT departments, and the analytics community to capture, prioritize, and document data analytics requirements, driving measurable results.
Extract data using existing IoT solutions and big data sources, conduct thorough analysis, perform testing, and validate outcomes.
Analyze datasets to identify trends and patterns, interpret and communicate insights to various teams and leaders to enhance and streamline processes.
Apply manufacturing domain knowledge and IoT knowledge to develop proof of concepts to address complex manufacturing challenges.
Propose solutions and strategies to business challenges that drive significant impact.
Monitor the health of data collection pipelines, report issues, and follow up with responsible teams.
Write user stories and frameworks for the IT development team to productize the self developed solutions.
Present complex information through data visualization techniques.
Provide training and guidance to business partners on data analysis methodologies, reporting, and tools.
Your Skills & Abilities (Required Qualifications)
Masters / Degree in Automotive technology, Mathematics, Statistics, Computer Science, or information technology.
10+ years of experience in any Automotive company or Data Analytics environment.
Proficient in Python (preferred) or any object-oriented programming languages.
Expert in data analysis, including identifying patterns, extracting valuable insights, and providing data-driven recommendations to support decision-making.
Proficient in applying statistical techniques, utilizing analytical tools, and AI/ML/GenAI for given business problem.
Experienced in working with data pipelines, PowerBI, SQL queries, Git, Databricks, Azure cloud services, and DevOps/MLOps/LLMOps.
Familiarity with IoT data collection methods and solutions.
Familiarity with automotive production processes, industrial automation, throughput analysis, and industrial engineering is considered an added advantage.
Ability to learn quickly and adapt to new challenges.
Exceptional collaboration skills and the ability to build strong relationships.
Process-oriented mindset with a focus on efficiency and effectiveness.
Outstanding project management skills within an agile environment.
Demonstrates creativity in problem-solving, thinking dynamically and beyond industry norms, and adapting swiftly to new technical areas.
Proficiency in collaborating with intercultural, multi-disciplinary, and remote teams to achieve functional objectives.
Strong organizational, planning, and prioritization skills, with a meticulous approach to project execution.
Readiness to travel across regions as necessary for project implementation.
In-vehicle electronics is a fast-growing technology in the global automotive industry featuring many cutting-edge technologies such as Compute, body and zone controllers, multi-view cameras, Gig+Ethernet, PCIe, digital/analog interfaces and more. We are looking for creative and enthusiastic candidate to become part of a fast-moving team who want to lead the future direction of the automotive industry.
The Power Center of Excellence team’s mission is to ensure that the power distribution and conversion circuitry within our ECU hardware products are reliable and robust, enabling all the advanced functionality for our customers. In this role you will be responsible for product development, verification, and integration activities.
Responsibilities include utilizing engineering tools and processes to successfully develop power circuitry for our internally designed ECU’s.
Responsibilities:
Qualifications:
Compensation:
The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of New York, Colorado, California, or Washington.
The expected base compensation for this role is: $106,600- 163,400. Actual base compensation within the identified range will vary based on factors relevant to the position.
Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.
#LI-JK3
]]>Position Tasks and Responsibilities:
Assist month end close activities:
Assist statutory audit and account:
Assist contract review process:
Assist managing SharePoint Sites (SBRF, ZVDC, DPRF, CMR, EFT and FGRD):
Assist in the preparation and timely submission of the Quarterly Accounting Review (QAR):
Knowledge and Skills:
Experience/Education:
Competencies:
Position Tasks and Responsibilities:
Knowledge:
Skills:
Experience/Education:
Competencies:
The Role:
Familiar with a variety of the field's concepts, practices, and procedures. Relies on experience and judgment to plan and accomplish goals. Performs a variety of complicated tasks. Training, education and/or experience in Computer Operations. Other experience in computer hosting, Data center operations, etc.
What You'll Do:
Specific Areas of Responsibility
What You'll Need:
Preferred Additional Experience:
The Role
General Motors has needs for qualified Industrial Electrician Journeypersons. Working under minimal supervision, the skilled trades Electrician Journeyperson is responsible for layout, installation, repair and preventative maintenance of complicated electrical equipment and circuits, troubleshooting and technical expertise on control systems.
Primary Responsibilities:
Follow established safety procedures according to OSHA standards and company procedures
Responsible for the maintenance and repair of electrical equipment
Analyze and troubleshoot electrical malfunctions in equipment and related components, diagnosing and correcting the problems quickly to avoid production delays
Perform electrical preventative and corrective maintenance on all plant equipment
Promote teamwork and show a willingness to work with other departments
Participate in continuous improvement activities
Read and interpret drawings and wiring schematics
Demonstrate strong problem-solving skills
Interested individuals must meet the following minimum qualifications:
At least six (6) years of related experience as an Electrician or a U.S. Department of Labor Certificate of Completion in the Electrical trade
Must be able to satisfactorily complete the General Motors hiring process requirements which includes comprehensive assessments, drug testing, and a background check
At least 18 years of age
Eligible to work in the United States
Must be willing to work flexible shift hours and day, afternoon, or night shift as well as overtime hours daily, weekends and holidays on those shifts with little notice
GM DOES NOT PROVIDE IMMIGRATION-RELATED SPONSORSHIP FOR THIS ROLE. DO NOT APPLY FOR THIS ROLE IF YOU NEED OR WILL NEED GM IMMIGRATION SPONSORSHIP TO WORK OR TO REMAIN EMPLOYED AT GM (e.g., H-1B, TN, STEM OPT, etc.).
If you are a current GM employee operating under a collective bargaining agreement, please contact your local HR/LR for employee placement opportunities.
This position may be filled with a Journeyperson or Journeyperson In Training, the compensation ranges for a JIT include ($37.77 - 44.06) or Journeyperson rate of ($44.96). Certificates/credentials and scoring in interview will determine your status and pay.
Physical Requirements:
Quick response to safety instructions, alarms, and signals are a must
Ability to work and stand for extended periods
Comfortably wear personal protective equipment
Navigate a busy environment
Bend, twist, kneel, crouch, and reach
May need to lift or carry materials weighing up to 50 lbs. depending on department
Occasional sitting during certain tasks
Drive mobile equipment when needed
General Motors UAW hourly employment offers a very competitive compensation and benefit package. An annual incentive payout is also available, as qualified.
Relocation and travel expenses will be the responsibility of the applicant.
Please note – per the labor agreement between GM and the UAW, GM may share information and documentation relating to the credentials of applicants for this position (e.g., resumes, journeyperson cards, interview notes, certificates, etc.) with UAW personnel who have a need to know as part of their role on the UAW skilled trades team.
General Motors is looking for an experienced Quality Leader to join the Rochester Operations Central Quality team. Reporting to the Quality Manager, this role will provide technical and operational leadership for assigned manufacturing areas, including IAFM/Canister and manifold/LOMA-related operations and component processes.
The Quality Lead is accountable for protecting the customer, strengthening built-in quality, and improving manufacturing performance. This role partners closely with Manufacturing, Quality Engineering, Product Engineering, Manufacturing Engineering, Supplier Quality, and plant leadership to identify risk, resolve complex quality issues, and sustain robust processes from launch through production.
This is a hands-on leadership role for a quality professional who can work independently, influence across functions, and translate data and customer feedback into durable corrective actions.
What You’ll Do:
Your Skills and Abilities (Required qualifications):
What Will Give You a Competitive Edge (Preferred qualifications):
Compensation:
Bonus Potential:
Benefits:
GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement
savings plan, sickness and accident benefits, life insurance, paid vacation & holidays,
tuition assistance programs, employee assistance program, GM vehicle discounts and more.
]]>The Role
The Senior Global Commodity Manager will lead the global strategy for critical commodities, driving cost competitiveness, supply resilience, and innovation across a dynamic, multi-tier network. Your decisions will shape the future of mobility and electrification worldwide. This role offers the opportunity to influence industry standards, develop strategic supplier partnerships, and lead initiatives that transform the industry.
The Senior Global Commodity Manager is responsible for conducting purchasing activities to support sourcing, contract and supplier management activities in line with departmental strategy and objectives. As a leader, you will provide technical guidance to the team for successful execution of commodity strategies for our indirect or direct commodities as well as lead the development of new products, processes, standards, or operational plans. You will also be responsible for leading a team, fostering employee development and training, driving performance management, and maintaining an efficient organizational structure.
What You’ll Do (Responsibilities):
Develop and execute a comprehensive Business Plan and commodity strategy
Lead business plan/tactics to reach overall global targets on a day-to-day basis
Lead global teams in all regions in developing commodity strategies and sourcing recommendations for specified commodity, considering regional specifics this also includes early Supplier Engagement and Strategic Sourcing
Oversee, monitor and coach employees in different locations and build effective global team
Collaborate with Engineering, Logistics, Supply Chain, Manufacturing, Legal, Corporate Development and other internal partners to develop procurement strategies, clarify prerequisites and to drive cost reduction
Analyze and apply appropriate tools, i.e. cost models, benchmarking, global competitive sourcing, value chain analysis, supplier negotiations, engineering change cost containment, technical cost reduction, part/system reuse, etc.
Responsible for managing the overall procurement activities, development of sourcing strategy, negotiation of contracts and execution of budget from cradle to grave
Develop and execute capacity assessment of components to match GM demand with supplier capacity, with a focus on compliance requirements (FTAs, IRA, as applicable)
Provide technical and business process guidance to the team for successful execution of programs
Lead on the development of new products, processes, standards, or operational plans.
Support for the organization's business strategies with a direct impact on business and function overall results.
Lead Supplier relationships and operational Issues
Yours Skills & Abilities (Required Qualifications):
Bachelor’s Degree
10+ years of experience in global purchasing or procurement
Proven track record of directly leading teams with a minimum of 4-5 people, driving results, and personal accountability with oneself and team
Demonstrated Negotiation, Supplier Management, Team Orientation, Informative Communication and Analytical Thinking Skills
Strategic Orientation, willingness to learn, adapt & be agile, comfort in challenging norms, dealing with ambiguity
Strong interpersonal skills with demonstrated ability to lead diverse/cross-functional teams as well as mentor, motivate and elicit work output from peers and other team members
Ability to travel 10-20% of the time Domestically + Internationally
What Can Give You a Competitive Edge (Preferred Qualifications):
Experience Developing and Negotiating Contracts
Knowledge of SAP
Developed skillset with respect to data management tools: Power BI, Excel, TMS, AI, etc.
Finance and Cost Engineering experience
Strategic planning and execution
Negotiation skills
This job may be eligible for relocation benefits
GM does not provide immigration-related sponsorship for this role. Do not apply for this role if you will need GM immigration sponsorship now or in the future. This includes direct company sponsorship, entry of GM as the immigration employer of record on a government form, and any work authorization requiring a written submission or other immigration support from the company (e.g., H1-B, OPT, STEM OPT, CPT, TN, J-1, etc.)
]]>Every day, our products move millions of people as we aim to make driving safer, smarter, and more connected, shaping the future of transportation on a global scale.
Join a team shaping the future of automotive interiors.
We’re hiring a Staff Lead Engineer, Interior Cockpit - a high-impact technical leader who brings bold thinking, deep engineering expertise, and a relentless commitment to execution excellence. This role is ideal for professionals who thrive in fast-paced, high-visibility environments and want to influence how next-generation vehicle interiors are designed, engineered, and launched.
As a senior technical expert, you will guide teams across Instrument Panels, Floor Consoles, Decorative Trim, and Interior Lighting. You will shape design direction, elevate execution discipline, and help deliver world-class interior quality and customer experiences.
This is a force-multiplier role for someone who elevates teams, solves difficult problems, and drives meaningful change across programs and platforms.
What You’ll Do (Responsibilities)
Technical Leadership & Execution Excellence
Lead the design, development, and launch of interior cockpit systems
Mentor engineers to strengthen technical rigor and execution capability
Ensure delivery on time, on cost, and on quality
Innovation, Strategy & Continuous Improvement
Improve materials, processes, and system architecture to enhance quality, manufacturability, cost, and speed
Drive best-practice adoption, read-across, and closed-loop learning
Partner cross-functionally to shape the interior cockpit roadmap
Problem Solving & Cross-Functional Influence
Lead resolution of complex, high-visibility technical challenges
Support urgent or off-hours issue resolution when required
Influence teams without direct authority
Program Leadership & Collaboration
Manage multiple programs and priorities
Work with internal teams, suppliers, and global partners
Travel for builds, supplier engagement, and program support
Your Skills and Abilities (Required Qualifications)
Bachelor’s degree in Engineering
8+ years of experience in interior systems (IP, Floor Consoles, Decorative Trim, or Interior Lighting)
Expertise in injection-molded trim, foam-in-place, thermoformed skins, and cut-and-sew wrapped substrates
Strong knowledge of regulatory, performance, and validation requirements
Proven success launching interior subsystems through SOP
Strong analytical, communication, and collaboration skills
Ability to lead independently while owning outcomes
What Will Give you a Competitive Edge (Preferred Qualifications)
Master’s degree in Engineering
10+ years of experience in interior systems (IP, Floor Consoles, Decorative Trim, or Interior Lighting)
Design release or manufacturing engineering experience
DFSS Master Black Belt or DFSS Black Belt
Why This Role Matters
Help define the next generation of vehicle interiors
Work in a culture that values innovation, speed, and engineering excellence
Drive better quality, faster execution, and stronger customer experiences
Join a team known for raising the bar across the industry
#LI-KM2
]]>A Development Engineer within Transmission Controls Systems is responsible for delivering high-quality transmission development and validation activities that support current and future propulsion programs. The engineer will lead testing efforts from setup and execution through data analysis and issue resolution while partnering with calibration, controls, hardware, and facilities teams. The ideal candidate demonstrates strong technical aptitude, attention to detail, and a passion for continuous improvement. This role provides opportunities to influence testing strategies, improve development processes, and advance the adoption of virtual engineering tools and model-based development methodologies.
Key Responsibilities
Required Qualifications
Education
Experience and Skills
Preferred Qualifications
GM DOES NOT PROVIDE IMMIGRATION-RELATED SPONSORSHIP FOR THIS ROLE. DO NOT APPLY FOR THIS ROLE IF YOU WILL NEED GM IMMIGRATION SPONSORSHIP (e.g., H-1B, TN, STEM OPT, etc.) NOW OR IN THE FUTURE.
This job may be for relocation benefits .
Onsite: This role is categorized as onsite. This means the successful candidate is expected to report to Bay City on a full-time basis.
The Role:
The Quality Engineer will be responsible for supporting the implementation of Quality Systems in areas as assigned. This role will work independently under general direction of a supervisor. Work involves a considerable amount of perception and initiative to make decisions. Provide support to manufacturing floor including, but not limited to, responding to gage failures, assisting with root cause investigation, initiating containments, disposition of out of process material. Represent and implement Quality Systems on an off shift
What You'll Do (Responsibilities):
· Lead or work within teams to develop and implement Quality Systems and procedures for the program including, but not limited to, operator support tracking sheet (OSTS), process control plans, product quality standards, PFMEAs, gaging and inspection processes and defect prevention and reduction.
· Support the Manufacturing Quality Readiness Review (MQRR) audit process and plant launch operations wall (PLOW).
· Act as a Voice of Quality.
· Support the implementation of GMS and BIQ principles into the launch.
· Establishes a course of action to accomplish completion of the job and/or project.
· Act as a training coordinator regarding part and product quality and provide technical assistance to team members.
· Regular contact with others outside the work group.
· Actively seeks opportunities to drive change and continuous improvement with current practices and processes.
· Strives to expand professional knowledge and development through available training and certifications (i.e., Red X, OpEx, etc.).
Your Skills and Abilities (Required Qualifications):
· 3 years of Quality Engineering experience.
· Experience working in a manufacturing environment.
· High level of analytical ability where problems are unusual and difficult.
· Well-developed oral and written communication skills and comfortable presenting to large groups and varying levels of management.
· Ability to work off-shift and over-time as needed.
What Can Give You a Competitive Edge (Preferred Qualifications):
· Bachelor's degree in engineering or a related field.
· Knowledge of GM Quality Systems and requirements.
· Experience with GMS.
· Process and product knowledge of manufacturing.
· Ability to read and comprehend blueprints, GD&T, math data, gage reports and other engineering documentation.
· Proficiency and knowledge of the requirements in the Global Quality Manual.
Every day, our products move millions of people as we aim to make driving safer, smarter, and more connected, shaping the future of transportation on a global scale.
The Role:
A SW IRT (Software Issue Resolution Team) is GM’s plant-facing software integration readiness role that owns software-related end-of-line (EOL) and launch quality for a vehicle program and its plants.
They capture and analyze build/EOL data, flag and contain faults that impact EFTQ (including creating PRTS and managing DTC ignores via Jira/Deviator), and provide status on on-site builds and manufacturing events while coordinating with DREs, VSEs, MSIE/AVG, and plant teams.
In practice, they are the on-the-ground software integrator at bench/PPO/plant, driving closure of software issues across engineering and manufacturing so vehicles can be built and shipped with acceptable software quality.
What You'll Do (Responsibilities):
Primary SW EOL Issue during build events at the plant and Pre Production Operations (PPO)
Support EVC (Electric Verification Check) and HVF (Harness Verification Frame) flash and functionality activities
Track Electrical software PRTS issues and ensure that owners provide timely and effective closure
Support the QE and diagnosticians in completing the PRTS 4-Diamonds as well as reject or approve Electrical PRTS issues at Launch PRC stage
Provide proper preliminary root cause analysis to ensure appropriate assignment of PRTS issues
Ensure all Process Change opportunities are reviewed.
Support and/or Coordinate Engineering Try-Outs (ETO) and Plant Trial Runs (PTR)
Provide and implement containment plans as required
Track/monitor breakpoints of containment and corrective action
Support Electronic Easel Board reviews. Ensure issues are captured, understood, and routed to the correct team for troubleshooting
Work with Electrical Diagnosticians, QEs, AVG organization, and VSIEs to plan lab check process for all future programs before builds begin
Present top issues / PPO Look ahead info to leadership forums – VIP Ops, eSAPIR
Escalate unresolved issues as needed to respective leadership forums
Domestic & International travel for build events - 25%
Your Skills & Abilities (Required Qualifications):
Bachelor of Science in Engineering
At least 2 years of post-graduation engineering experience required
Excellent oral and written communication skills
Strong interpersonal skills involving ability to work effectively cross-functionally and cross-culturally
Demonstrated Bold and It’s on Me Behaviors
Demonstrated ability of dealing with ambiguity to enable timely decision making
Ability to travel
What Can Give You a Competitive Edge (Preferred Qualifications):
Knowledgeable in Jira SW issue tracking system
Have launched a VIP vehicle program at a GM plant
Working knowledge of using a NeoVi/Vehicle Spy tools
Knowledgeable in the use of DPS and/or GBFTT programming tools
Must be comfortable reporting out to senior leaders of the SMT and program teams
Knowledgeable of the Software release process from SMT to Manufacturing – VCAM/SPR/SPD/GEPICS
Knowledgeable on PRTS system and processes
Knowledgeable in GVDP, ECR, EWO, TWO, BSD processes and systems
DFSS Blackbelt
Plant launch experience with both EVs and ICE vehicles
About
GM is developing the next generation of embedded platform software to deliver state-of-the-art ADAS features to our customers. The Autonomy Interface SW (AIS) team is responsible for building runtime software that enables robust interface contracts, system degradation transitions, and seamless sensing integration with the autonomy stack.
The Role
As a Software Engineer you’ll be responsible for designing, documenting, and implementing complex, highly scalable, low-latency software in C++ on Linux-based systems for the AIS team. Your work will be the foundational software which the rest of GM’s AV stack is built upon.
If you are looking to solve one of today’s most complex engineering challenges, see the results of your work in hundreds of self-driving cars, and make a positive impact in the world, join us.
What you’ll be doing (Responsibilities)
Develop software in C++ to interface the Cruise autonomy stack with the sensors and custom hardware on the vehicle
Improve and deliver reliable software through requirements generation, continuous integration, automated testing, issue tracking, and code reviews
Collaborate with colleagues across multiple teams and mentor other developers
Deliver complex projects through incremental development
Your Skills & Abilities (Required Qualifications)
2+ years of experience writing production-quality software
Bachelors Degree in relevant field or relevant work experience.
Experience with C++11 or later
Knowledge of and experience applying software best practices
What Will Give You A Competitive Edge (Preferred Qualifications)
5+ years of experience writing production-quality software
Experience developing on and for embedded Linux / POSIX systems
Demonstrated experience building, testing, and shipping production software
Experience with safety critical development (FDA, FAA, Automotive)
Experience with embedded build systems, such as buildroot or yocto.
Experience working with Camera or other sensors like radars\lidars.
Experience with networking
Experience with ROS or other robotics middleware platforms
Experience with other languages: C, Python, Bash, Go
Experience with QNX, VxWorks, or similar.
Compensation: The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of New York, Colorado, California, or Washington.
The salary range for this role: is $142,000 to $215,000. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.
Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.
Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.
#GM-AV-1
GM continues to enhance its Digital Retail Platform (DRP), which provides an omnichannel learning, shopping, and buying experience for all GM brands. The platform enables customers to buy or lease their next vehicle 100% online, 100% in-store, or anywhere in between.
Reporting to the Associate Director – Digital Retail Platform, this role leads the strategies, operating rhythms, analytics, documentation, and cross-functional execution needed to support dealer implementation and increase dealer adoption and sustained utilization of the DRP experience. The role connects dealer needs, engagement, product direction, data integrity, implementation readiness, and scalable execution across the dealer network.
The overall objective is to provide product-related support for dealership platform implementation readiness and excellence and develop dealer post go-live support strategies to increase platform education and utilization to ultimately drive the desired business outcomes.
What You’ll Do
Your Skills & Abilities (Required Qualifications)
What Will Give You a Competitive Edge (Preferred Qualifications)
About the Organization
The Evaluation team builds and evolves the evaluation ecosystem that powers the development and scaling of GM’s autonomous driving technology. We develop metrics, automated workflows, and analysis approaches that enable data-driven decisions across AV development and verification. Partnering with Autonomy, Simulation, Systems, and Safety teams, we act as system-level integrators and arbiters of end-to-end AV quality.
We own large-scale test scenario libraries, continuous evaluation pipelines, and critical risk assessment and release-gating components, treating road testing, data mining, training, and metrics as first-class use cases in a unified analytics framework. By joining this team, you will help shape GM’s core evaluation platforms, turn system-level results into clear feedback for engineering and leadership, and help accelerate validated AV deployment at scale.
We are looking for an Engineering Manager to lead a team building the software, metrics, and analysis systems used to evaluate autonomous driving performance at scale. This leader will combine strong technical judgment with people leadership, cross-functional influence, and execution rigor to help shape GM’s core evaluation platforms and accelerate validated AV deployment.
Lead, coach, and grow a team of engineers building autonomy evaluation platforms, metrics, workflows, dashboards, and analysis tooling for simulation and on-road testing.
Set technical direction for systems that introspect autonomous driving software performance across interfaces and across the autonomy stack.
Drive the design and delivery of analysis algorithms that summarize, aggregate, and cluster metrics from simulation and on-road runs.
Guide the team in developing new statistical and machine learning methods to quantify performance and identify behavior patterns across scenes and operational domains.
Oversee evaluation approaches for ML components across perception, prediction, and planning, ensuring methods are explainable, scalable, and useful to development and verification teams.
Ensure the team delivers clear dashboards and interactive reports for trend analysis, drift detection, scenario coverage, and leadership insight.
Partner closely with Autonomy, Simulation, Systems, and Safety teams to define requirements, resolve handoff issues, and align evaluation strategy with product and release needs.
Help the organization leverage emerging AI techniques, including VLMs and LLMs where appropriate, to classify autonomy performance and prioritize validation work with human-in-the-loop review.
Maintain a high technical bar through strong system design, code review, testing, observability, and engineering best practices.
Translate system-level results into clear feedback for engineering and leadership and drive execution against high-priority evaluation outcomes.
Build a high-performing, inclusive engineering team through hiring, coaching, feedback, and career development.
Create clarity across priorities, roadmaps, and dependencies for a technically complex evaluation domain.
Balance near-term delivery with long-term platform investments in metrics, tooling, and infrastructure.
Raise the quality of team execution through clear ownership, strong design reviews, and healthy operating mechanisms.
Represent the team effectively across partner organizations and influence decisions that affect system-level AV quality.
8+ years of relevant experience in robotics, autonomous systems software, data analysis, ML evaluation, or autonomy analytics, including substantial experience leading technical teams and delivering complex software systems. This manager version is adapted from a senior IC profile that calls for 5+ years in these domains.
3+ years evaluating dynamic systems using numerical and/or ML approaches, including time-series data, state derivatives, dynamics, and interconnected subsystems.
Strong proficiency developing Python in production team environments, including testing, performance, and code review.
Strong hands-on familiarity with Pandas, NumPy, SciPy, and data visualization libraries for large-scale analysis and reporting.
Comfort working with C++ codebases, including reading, debugging, and instrumenting core algorithms.
Demonstrated technical leadership, including driving architectural decisions, influencing cross-team designs, and owning complex services or platforms end-to-end.
Strong cross-functional communication and an ability to convert ambiguous evaluation needs into clear technical plans.
Strong analytical curiosity and a disciplined approach to root-causing anomalous data and system discrepancies.
Bachelor’s, Master’s, or PhD in Computer Science, Robotics, Mechanical or Aerospace Engineering, Machine Learning, Data Science, or a related field, or equivalent practical experience.
Experience in autonomous driving or field robotics, including interpreting results from simulation and field experiments.
Experience evaluating robotics or AV systems using sensor data such as camera, lidar, and radar, and working with large-scale time-series analysis.
Strong intuition for data visualization and the ability to turn high-dimensional metrics into clear, trustworthy views for technical and non-technical audiences.
Familiarity with statistical modeling, experimental design, and hypothesis testing for autonomy or simulation evaluation.
Proficiency in SQL and experience shaping logging, data schemas, and evaluation pipelines for large-scale autonomy testing and performance monitoring.
Experience with ROS or similar robotics/IPC frameworks, log pipelines, and experiment databases or evaluation platforms.
Prior experience with computational geometry, linear algebra, PyTorch, and ML techniques applied to perception, prediction, planning, or control.
Background contributing to release gating, risk assessment, and safety-related decisions for autonomy systems.
Experience using AI-assisted development and analytics tools to improve engineering productivity and evaluation coverage.
Compensation
The salary range for this role is $185,100 and $284,100. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.
Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.
Benefits
Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.
Company Vehicle
Upon successful completion of a motor vehicle report review, you will be eligible to participate in a company vehicle evaluation program, through which you will be assigned a General Motors vehicle to drive and evaluate. Note: program participants are required to purchase/lease a qualifying GM vehicle every four years unless one of a limited number of exceptions applies.”
This role is not eligible for relocation assistance
At General Motors, our product teams are redefining mobility. Through a human-centered design process, we create vehicles and experiences that are designed not just to be seen, but to be felt. We’re turning today’s impossible into tomorrow’s standard —from breakthrough hardware and battery systems to intuitive design, intelligent software, and next-generation safety and entertainment features.
Every day, our products move millions of people as we aim to make driving safer, smarter, and more connected, shaping the future of transportation on a global scale..
About the role:
The Fastening Engineer supports the design, selection, and validation of mechanical fasteners and bolted joints used in vehicle systems. This role ensures joints are robust, cost-effective, and manufacturable, while meeting safety, durability, and quality requirements. The engineer collaborates closely with Vehicle Engineering, Manufacturing Engineering, Supplier Quality, and Fastener Suppliers to apply GM global fastening standards and best practices.
What You’ll Do (Key Responsibilities)
Basic Qualifications (Requirements)
Preferred Qualifications
GM DOES NOT PROVIDE IMMIGRATION-RELATED SPONSORSHIP FOR THIS ROLE. DO NOT APPLY FOR THIS ROLE IF YOU WILL NEED GM IMMIGRATION SPONSORSHIP NOW OR IN THE FUTURE. THIS INCLUDES DIRECT COMPANY SPONSORSHIP, ENTRY OF GM AS THE IMMIGRATION EMPLOYER OF RECORD ON A GOVERNMENT FORM, AND ANY WORK AUTHORIZATION REQUIRING A WRITTEN SUBMISSION OR OTHER IMMIGRATION SUPPORT FROM THE COMPANY (e.g., H-1B, OPT, STEM OPT, CPT, TN, J-1, etc.)
#LI-JN1
]]>Key Responsibilities:
Design and Release
Global Harmonization of Commodity Strategies
Develop & Maintain BOM Strategy & Reuse
Lead Technology & Innovation of Commodity
Create/Maintain Base Knowledge Documents
Lead/Support Problem Solving activities impacting commodity
Support Mentoring/Coaching
Required Qualifications:
Preferred Qualifications:
Sponsorship: GM does not provide immigration-related sponsorship for this role. Do not apply for this role if you will need GM immigration sponsorship now or in the future. This includes direct company sponsorship, entry of GM as the immigration employer of record on a government form, and any work authorization requiring a written submission or other immigration support from the company (e.g., H-1B, OPT, STEM OPT, CPT, TN, J-1, etc.)
Work Arrangement: This role is categorized as onsite. The successful candidate is expected to report to their assigned GM worksite, five days per week and to respond to the site in the event of an emergency after hours, on weekend or holidays.
The Role:
The Electrical Diagnostician is a key position supporting the plant in achieving electrical first-time quality (EFTQ) during steady-state production and the EFTQ glidepath during vehicle program launch. The primary responsibility is supporting the electrical end-of-line (EOL) repair process.
This role leads electrical troubleshooting, collects and analyzes data, and develops corrective actions to resolve ongoing issues impacting EFTQ. The Electrical Diagnostician supports both current production and new-model launch activities, working closely with Manufacturing, Quality, Supplier Quality, Product Development, and plant Electrical Team members.
The GM Automotive Manufacturing Electrical College, or AMEC, is an immersive training program that provides participants the opportunity to train in classroom and hands-on settings for future employment on a Launch Electrical Team at one of GM’s vehicle assembly facilities.
What You'll Do (Responsibilities):
Your Skills & Abilities (Required Qualifications):
What Can Give You a Competitive Edge (Preferred Qualifications):
This job may be eligible for relocation benefits
]]>As a GPS ME Manufacturing Engineering Intern, you'll work alongside world-class engineers to help shape how General Motors builds the propulsion systems that define the future of mobility, from high-voltage electric motors and battery systems to precision-machined transmissions and drive units. This is not a passive internship: you'll be embedded in real project teams, contributing to active programs with genuine deadlines and tangible impact. Depending on your assignment, you may find yourself on a plant floor qualifying new equipment, in a process development lab optimizing a manufacturing technique, or at a virtual engineering workstation designing the factory of tomorrow. You'll collaborate across engineering disciplines, interact with product teams, and experience how large-scale manufacturing decisions get made at one of the world's leading automakers. This role offers a GPS-wide experience, giving you exposure to multiple propulsion technology areas across the summer.
The Team:
General Motors' Global Propulsion Systems Manufacturing Engineering (GPS ME) organization is at the heart of how GM brings its most critical technologies to life on the factory floor. Our team designs, develops, procures, and implements the manufacturing systems that power GM vehicles worldwide, spanning Transmissions, Drive Units, Electric Motors, Engines, Castings, Battery and Energy Storage Systems, and Fuel Cells. With sub-organizations dedicated to Drive Units, Transmissions & eMotors, Engines & Castings, Cells & Battery Systems, Standards & Launch Excellence, and Business Process & Continuous Improvement, GPS ME touches every corner of GM's propulsion portfolio.
What You'll Do:
Support manufacturing process development by researching, testing, and optimizing assembly or fabrication processes for propulsion components such as electric motors, drive units, transmissions, or battery systems in a lab or plant environment.
Contribute to equipment launch activities by assisting with installation, debugging, and qualification of manufacturing equipment, and helping document results to meet program launch metrics.
Apply lean manufacturing principles by analyzing production line throughput, identifying waste, and supporting the development or improvement of standardized work documentation.
Use virtual engineering tools to create or refine 3D process layouts, simulation models, or CAD/CAM work instructions that support manufacturing planning and equipment design.
Collaborate with cross-functional teams, including Product Engineering, Quality, and Plant Operations, to solve active manufacturing quality or scrap issues tied to process or design root causes.
Participate in structured problem-solving activities at manufacturing sites, applying engineering methodologies to identify defect root causes and recommend corrective actions.
Develop and present engineering deliverables, including technical reports, process documentation, or project updates, to engineering leads and program stakeholders.
Required Qualifications:
Currently pursuing a Bachelor's or Master's degree in Mechanical Engineering, Manufacturing Engineering, Electrical Engineering, Industrial Engineering, Materials Science, or a closely related technical field.
Must be graduating between December 2027 and June 2029
Strong foundational knowledge of engineering principles, including mechanics, materials, or manufacturing processes, gained through coursework or project experience.
Demonstrated ability to analyze data and solve problems systematically; comfortable drawing conclusions from test results, data sets, or observations.
Effective communication skills, written and verbal, with the ability to explain technical concepts clearly to a diverse audience.
Ability to work collaboratively in a team environment while also managing individual tasks and deliverables independently.
Willingness and ability to travel to and work at GM manufacturing plants or technical labs as required by the internship assignment (travel is assignment-dependent; not all roles require travel).
What Will Give You a Competitive Edge (Preferred Qualifications):
Hands-on experience with CAD software (e.g., NX, CATIA, SolidWorks, AutoCAD) or manufacturing simulation and digital tools.
Familiarity with lean manufacturing concepts, such as value stream mapping, standardized work, or Process Failure Mode and Effects Analysis (PFMEA), through coursework, club involvement, or prior work experience.
Prior internship, co-op, or research experience in a manufacturing, automotive, or industrial engineering environment.
Exposure to electric vehicle or propulsion technologies, including electric motors, power electronics, battery systems, or drivetrain components, through coursework or personal projects.
Experience with data analysis tools such as Microsoft Excel (advanced), Python, MATLAB, or Minitab for engineering or process analysis.
Participation in engineering competitions or student organizations (e.g., SAE, Formula SAE, Baja SAE, robotics teams) that demonstrate applied engineering problem-solving.
Knowledge of Geometric Dimensioning and Tolerancing (GD&T) and manufacturing tolerance principles.
Familiarity with quality tools such as 8D problem solving, cause-and-effect analysis, or statistical process control.
GM does not provide immigration-related sponsorship for this role. Do not apply for this role if you will need GM immigration sponsorship now or in the future. This includes direct company sponsorship, entry of GM as the immigration employer of record on a government form, and any work authorization requiring a written submission or other immigration support from the company (e.g., H1-B, OPT, STEM OPT, CPT, TN, J-1, etc.)
Work Arrangement
Onsite: This role is categorized as onsite. This means the successful candidate is expected to report to Warren, MI (or assigned location) on a full-time basis. May also have opportunities to work at GM manufacturing sites and technical labs.
GM will provide a one-time lump sum taxable stipend payment to eligible students selected for the 2026 Student Program.
To help facilitate administration of relocation benefits if you are selected, please apply using the permanent address you would move from.
Start dates for this internship role are May & June of 2027.
]]>Calibration engineers help turn engineering requirements into real-world vehicle performance. You’ll work with vehicle systems, software, hardware, controls, and test data to tune system behavior and verify that features and diagnostics perform as intended. This is a hands-on role with opportunities to work in vehicles, laboratories, test benches, dynos, automation environments, and simulation platforms.
This position is designed for an early-career engineer who enjoys learning, investigating complex problems, and collaborating across disciplines. You’ll receive support from experienced engineers while building skills in vehicle development, controls, data analysis, troubleshooting, and performance verification.
A typical week may include:
Performing in-vehicle calibration and testing
Analyzing data from driving maneuvers conducted in simulation, on a dyno, in a lab, or in a vehicle
Tuning system responses and identifying opportunities to improve controls
Troubleshooting issues with vehicle systems, hardware, and software
Working with algorithm, controls, software, hardware, and program teams
Balancing planned development activities with emerging issues and priorities
The primary work location is the Milford Proving Ground, where you’ll support the development of vehicle and propulsion systems, including electric vehicles, engines, and transmissions. The role also includes participation in development trips and onsite program vehicle evaluations.
What You’ll Do:
Develop and optimize calibrations to meet performance, diagnostic, timing, and robustness requirements using GM calibration standard work.
Review calibrations and test results to help ensure quality and consistency.
Plan and coordinate calibration activities with the Lead Calibrator and Diagnostic Strategist.
Help identify the tools, equipment, test vehicles, data, and other resources needed for calibration development.
Diagnose and correct vehicle, system, controls, lab, plant, and customer issues.
Use analytical tools to develop, evaluate, and verify calibrations.
Develop, use, and improve calibration procedures.
Participate in controls working groups and support the development and refinement of algorithms.
Support the development and testing of new vehicle features and functions by translating requirements into test cases.
Evaluate engineering changes and determine their impact on verification testing.
Participate in peer reviews of test plans, considering hardware, software, system architecture, and portfolio impacts.
Identify opportunities to automate or virtualize calibration and verification activities, and help implement those solutions.
Support development vehicle fleets through troubleshooting, testing, and data collection.
Perform root-cause analysis for issues identified during verification testing and document findings in the Problem Resolution Tracking System (PRTS).
Participate in development trips and related testing activities.
Follow all safety precautions and requirements, making safety the top priority in every work activity.
Required Qualifications:
Pursuit of a Bachelor’s or Master's degree in one of the following areas: Electrical Engineering, Mechanical Engineering or Computer Engineering
Must be graduating between Dec 2026 – June 2027
Must be able to work in southeast Michigan
Able to work fulltime, 40 hours per week
Preferred Qualifications:
Experience with propulsion, vehicle controls, software development, and vehicle integration
Proficiency in MATLAB and experience with data acquisition and analysis
Experience with test automation tools such as Python or Autobot
Strong technical writing skills, including engineering evaluation reports
Automotive-related experience through Formula SAE, EcoCAR, or similar programs or clubs
GM does not provide immigration-related sponsorship for this role. Do not apply if you will need GM immigration sponsorship now or in the future, including sponsorship or work authorization support such as H-1B, OPT, STEM OPT, CPT, TN, or J-1.
Work Arrangement:
Hybrid: This role is categorized as hybrid. This means the successful candidate is expected to report to Milford, MI, three times per week, at minimum or other frequency dictated by the business.
To help facilitate administration of relocation benefits if you are selected, please apply using the permanent address you would move from.
Benefits:
GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.
This job may be eligible for relocation benefits
Customs Origin and Solicitation Analyst
Communication and Relationship
Additional Duties
Experience:
Technical Knowledge Requirements:
Non-Technical Skills & Competencies:
Experience:
English: Advanced
Coordinate and follow up with suppliers to obtain and validate documentation related to component imports.
Audit supplier documentation to ensure accuracy and compliance with established requirements.
Process and maintain import-related information in the designated systems.
Execute processes associated with the importation of components from suppliers.
Maintain ongoing communication and follow up with suppliers until the required results are obtained and each operation is successfully completed.
Technical Knowledge Requirements:
Demonstrated problem solving and analytical skills
Ability to understand, interpret and compare feedback results
Proficient in Microsoft Office applications, especially Excel and Access
Desirable: competent in Google Workspace tools
Desirable, competent in automation tools (Python, Knime, Databricks, RapidMiner)
Non-Technical Skills & Competencies:
Exceptional organizational skills, with demonstrated ability to effectively manage multiple priorities
Strong interpersonal skills and demonstrated commitment to teamwork and partnerships
Strong oral and written communication skills to all levels of the organization
Must be detail oriented with a passion for quality
High customer service orientation
Ability to “learn on the fly” and work in ambiguity
Process improvement mindset
High level of integrity regarding confidential data (employee survey responses)
Above average English communication skills both in oral and written
General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We respect and value what each individual contribution to our team, including their origin, education, sex, race, ethnic group, sexual orientation, gender expression and / or identity, religious context, age, generation, and disability. We believe that our ability to meet the needs and expectations of an increasingly diverse and global customer base is closely linked to the diversity and inclusion that we experience within General Motors
If you need a reasonable accommodation to assist with your employment, please mention it to the recruiter
The Role
General Motors has needs for qualified Stationary Engineer/Boiler Operator Journeypersons. Working under minimal supervision, the skilled trades Stationary Engineer Journeyperson is responsible for operating and maintaining gas fired boilers, large centrifugal and reciprocating air compressors, heat exchangers, water softeners, chilled water systems, cooling towers, wastewater systems, high quality water systems, and/or other related equipment found in an industrial powerhouse.
Primary Responsibilities:
Follow established safety procedures according to OSHA standards and company procedures
Responsible for the maintenance and repair of assigned equipment
Analyze and troubleshoot malfunctions in equipment and related components, diagnosing and correcting the problems quickly to avoid production delays
Perform preventative and corrective maintenance on all assigned equipment
Participate in continuous improvement activities
Read and interpret blueprints
Basic computer skills
Interested individuals must meet the following minimum qualifications:
At least six (6) years of related experience as a Stationary Engineer/Boiler Operator or a U.S Department of Labor Certificate of Completion as a Stationary Engineer.
Must be able to satisfactorily complete the General Motors hiring process requirements which includes comprehensive assessments, drug testing, and a background check
At least 18 years of age
Eligible to work in the United States
Must be willing to work flexible shift hours and day, afternoon, or night shift as well as overtime hours daily, weekends and holidays on those shifts with little notice
GM DOES NOT PROVIDE IMMIGRATION-RELATED SPONSORSHIP FOR THIS ROLE. DO NOT APPLY FOR THIS ROLE IF YOU NEED OR WILL NEED GM IMMIGRATION SPONSORSHIP TO WORK OR TO REMAIN EMPLOYED AT GM (e.g., H-1B, TN, STEM OPT, etc.).
If you are a current GM employee operating under a collective bargaining agreement, please contact your local HR/LR for employee placement opportunities.
Physical Requirements
Please note – per the labor agreement between GM and the UAW, GM may share information and documentation relating to the credentials of applicants for this position (e.g., resumes, journeyperson cards, interview notes, certificates, etc.) with UAW personnel who have a need to know as part of their role on the UAW skilled trades team.
The role
We think wireless communication can be perfectly reliable – no matter what conditions and hardware our customers throw at it. We’re looking for WiFi experts who agree.
Our vehicle communication team is hiring a software engineer to design and develop WiFi software in our Linux-based networking system. Join us to develop the best connectivity experience found in any car.
What you'll do
GM is developing a breakthrough new system for vehicle software and communications, and you'll be at the heart of it. We design our own hardware, so you'll work closely with hardware teams to meet the tough power, signal, and reliability requirements of vehicles. You'll also work closely with our application and cloud teams to ensure end-to-end reliability and performance.
Requirements:
You should know Linux/POSIX systems and networking fundamentals across the whole stack - from drivers through applications.
You’ve shipped software at the junction of the WiFi stack and the operating system/user features, such as configuration management, network configuration, power management, or tethering
You are familiar with userspace services that configure and operate WiFi, such as wpa_supplicant, cfg80211/nl80211, hostap, NetworkManager, or ConnMan
You know how to triage and debug end-to-end issues in a team, and can perform packet capture, characterize latency, and analyze connection and roaming failures
Most of our code is written in C, C++, and Java, so we expect you know at least one of these languages well.
BS/MS/PhD in computer science or electrical engineering (or equivalent experience)
5+ years software development experience
Most importantly, you have a deep drive to make WiFi work perfectly, no matter how old or allegedly flaky a customer’s phone or router is. You want to make customers happy, and won’t let “other people’s bugs” stand in your way.
Preferred qualifications:
Experience collaborating with radio and operating system vendors to debug issues
Experience with Android WiFi and connectivity
Work with WiFi interoperablility across protocol generations, security, and roaming standards
Ability to build a power-aware system by balancing reliability and power consumption via scanning/roaming policies and suspend/resume behavior. This should be supported by experience with measuring power consumption
Work with lab/field testers, test automation, and certification/interoperability efforts
Work with related systems that can affect WiFi performance, such as Bluetooth coexistence at the operating system level
Knowledge of layer 1 and layer 2 issues that can affect performance
The ability to collaborate with hardware engineers to debug antenna and power issues
Compensation: The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of the California Bay Area.
The salary range for this role is 190,000 to 290,000. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.
Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.
Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.
Every day, our products move millions of people as we aim to make driving safer, smarter, and more connected, shaping the future of transportation on a global scale.
Role:
Are you passionate about accelerating the future of autonomous driving? Join the Embodied AI team at General Motors. Our team is developing and deploying machine learning solutions that support safe and reliable autonomous vehicle behavior across real-world scenarios.
As a Staff ML Infra Engineer, you will drive the development of core systems that enable rapid dataset generation, training, evaluation, and iteration of our most advanced Autonomous Driving models. From enabling large foundational driving models to distilling multi-stage production deployed models, your goal will be to dramatically accelerate the machine learning development cycle from one modeling hypothesis to next.
You will deliver model training pipelines that are performant, easy to use, and exceptionally reliable. Your success will be measured by the velocity and impact of the ML models that rely on the scalable, intuitive, and high‑performance training platforms you help create.
What you'll do:
Lead the design, implementation, and deployment of scalable platforms and tools that drive machine learning model training and evaluation workflows across GM.
Own complex technical projects end-to-end, making key architectural decisions and technical trade-offs. You will be a core contributor to team planning, design reviews, and code quality.
Take a holistic view of projects, considering their impact across multiple teams, and across a longer timeline.
Proactively drive technical prioritization. Collaborate closely with partner teams to ensure maximum benefit from the systems we build.
Help shape our team through technical interviewing with high, well-calibrated standards, and play an essential role in recruiting.
Mentor and onboard junior engineers and interns, helping them grow their careers.
What you'll bring:
5+ years of experience building large-scale distributed systems, applications, or advanced ML systems‑scale distributed systems, applications, or advanced ML systems
Proven track record of designing robust frameworks with high-quality, durable APIs.
Deep understanding of machine learning algorithms with hands‑on application
Expertise in building reliable, high-performance, and cost-efficient systems on modern cloud infrastructure‑performance
End-to-end experience across the ML development lifecycle, including MLOps practices
Strong cross functional collaboration skills across teams and organizations
Exceptional coding skills in Python or C++
Strong interest in autonomous driving and its transformative potential
BS, MS, or PhD in Computer Science, Mathematics, or equivalent practical experience
Nice to have:
Experience with distributed training methodologies
Experience scaling ML training across large GPU/CPU clusters or other accelerators
Familiarity with deep learning frameworks (e.g., PyTorch, TensorFlow)
Experience with performance profiling and state-of-the-art training optimization techniques, including their impact on model performance ‑of‑the‑art training optimization techniques, including their impact on convergence.
Experience with advanced build systems (e.g., Bazel, Buck, Blaze, CMake)
Proficiency with containerization and orchestration technologies (e.g., Docker, Kubernetes)
Remote/Hybrid: This role is categorized as fully remote or hybrid.
Compensation: The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of the California Bay Area.
The salary range for this role is $189,300.00 to $290,700.00. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.
Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.
Benefits:
Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.
Relocation: This job may be eligible for relocation benefits.
Company Vehicle: Upon successful completion of a motor vehicle report review, you will be eligible to participate in a company vehicle evaluation program, through which you will be assigned a General Motors vehicle to drive and evaluate. Note: program participants are required to purchase/lease a qualifying GM vehicle every four years unless one of a limited number of exceptions applies.
#GM-AV-1
#LI-CX1
]]>As a Creative Designer at GM, you will be part of a larger, connected, global design team working on forward-thinking, extraordinary elements in production design. We are looking for someone who thrives in a team environment and displays a strong ability to manage multiple tasks and timelines. We need someone with a considerable amount of perception, design taste, judgment and creativity as well as a high level of skill, accuracy, and coordination. Your role will be to see the future - researching, designing and creating proposals that demonstrate innovative concepts, from inception to implementation, for automotive and mobility applications. You will create fresh, innovative designs with the customer experience in mind for interiors for GM brands. Through the lens of brand strategy, you will generate concepts in both 2D and 3D proposals. You will adeptly refine ideas as you receive feedback. You will coordinate the work of other design personnel and collaborate with multiple partners to achieve design goals. You will follow design process from the sketch form to the final release clay model. If you are driven and eager to propel your career forward, take your next step in joining a world class design studio at General Motors!
What You'll Do:
Create unique interior designs and concepts for production vehicles through 2-D sketches, 3-D sketches, visualize via
animations [Ai, etc] and collaborate with clay and digital sculpting.
Collaborate frequently with the design team, sculpting organization, engineering and fabrication teams in the development of
new designs.
Take a big-picture perspective on customer needs and future transportation and create provocative concepts and designs.
Provide insight and recommendations to leadership while possessing willingness and acuity to act upon guidance in a
deadline driven environment.
Maintain knowledge of current design trends and technology. Present ideas frequently to management and leadership to
communicate design ideas.
Exhibit courage and challenge expectations.
Your Skills & Abilities (Required Qualifications)
Bachelor’s Degree in Design (Automotive, Transportation, Industrial…).
2+ years of professional experience in a design related field, automotive is strongly desired.
Strong understanding of form and excellent drawing skills.
Proven creative proficiency.
Demonstrated ability with electronic tools to communicate 2-D ideations.
Ability to work independently and within a team as well as provide mentoring.
For your portfolio, please make sure that you have several series of sketches and ideations.
#LI-VC1
]]>General Motors has needs for qualified Industrial Electrician Journeypersons. Working under minimal supervision, the skilled trades Electrician Journeyperson is responsible for layout, installation, repair and preventative maintenance of complicated electrical equipment and circuits, troubleshooting and technical expertise on control systems.
Primary Responsibilities:
Interested individuals must meet the following minimum qualifications:
Physical Requirements
General Motors UAW hourly employment offers a very competitive compensation and benefit package. An annual incentive payout is also available, as qualified.
Relocation and travel expenses will be the responsibility of the applicant.
Please note – per the labor agreement between GM and the UAW, GM may share information and documentation relating to the credentials of applicants for this position (e.g., resumes, journeyperson cards, interview notes, certificates, etc.) with UAW personnel who have a need to know as part of their role on the UAW skilled trades team.
The Senior Design Sculptor – Digital Technical is a studio expert responsible for developing high‑quality digital surfaces that bring advanced design concepts to life. In this role, you will guide sculpting teams across multiple programs, ensuring alignment with aesthetic targets, engineering requirements, and global modeling standards. You’ll collaborate closely with design, engineering, and cross‑functional partners to solve complex technical challenges and advance surface development processes. This role also plays a key part in mentoring talent, driving continuous improvement, and integrating new technologies into studio workflows.
Develop high‑quality aesthetic digital surfaces that meet Design intent, engineering requirements, and GVDP quality standards.
Execute digital models to program timelines while ensuring accuracy, surface integrity, and data readiness for release.
Mentor sculpting teams on modeling techniques, best practices, and new digital tools to elevate studio capability.
Collaborate with design and engineering stakeholders to resolve technical challenges and influence 3D solutions.
Lead and participate in peer reviews, providing expert feedback on surface construction and continuous improvement.
Contribute to digital SMS forums, helping shape training strategies, workflow enhancements, and process alignment.
Reinforce studio data management standards and corporate systems (e.g., Teamcenter, SharePoint) across teams.
Bachelor’s degree in Design, Industrial Design, Transportation Design, or related field; equivalent industry experience considered.
8+ years of digital modeling or sculpting experience in a design studio environment.
Expert proficiency with digital sculpting tools such as Alias, VRED, HMD , or equivalent.
Demonstrated ability to translate 2D sketches and design intent into refined 3D surfaces.
Strong communication and interpersonal skills; able to influence and guide cross‑functional teams.
Experience mentoring others in digital sculpting techniques, workflows, and modeling standards.
Ability to meet GVDP requirements, adhere to global processes, and work effectively under compressed timelines.
Deep knowledge of design trends, new technologies, and advanced modeling methods.
Experience driving continuous improvement initiatives or implementing innovative digital workflows.
Strong aesthetic judgment and ability to contribute to design reviews and 3D problem-solving.
Electronic Control Units (ECUs) are central to a wide range of control functions and are undergoing significant technological advancements in the global automotive market. Our team is looking for a creative and highly energetic ECU Hardware Requirements & Specifications Engineer who can lead the development and management of hardware requirements, low-level software definition and specification for ECU Hardware Component Technical Requirements Specifications (CTRS).
The ideal candidate will have experience with Automotive Embedded Control Systems including ECU circuit-level design, semiconductor and microprocessor application, low-level software design and diagnostics. Additional experience with implementing high Automotive Safety Integrity Level (ASIL) designs and applications is desirable.
The candidate will drive innovation, facilitate effective communication, and inspire enthusiasm within the team. We expect you to demonstrate leadership qualities, actively champion change, possess keen business intuition, and strategically address systemic challenges. You should also exhibit high learning agility, the ability to navigate ambiguity and complexity, and a commitment to pushing the boundaries of innovation while challenging the status quo. You will also interact with and mediate between diverse control system, software and hardware design teams to achieve acceptable ECU requirements to all consumers of them.
The Role:
In this role you are expected to have a high level of technical proficiency in developing and managing requirements and providing technical leadership to perform ongoing development, maintenance, and configuration management of CTRS requirements that support various build-to-spec and build-to-print ECU designs across GM’s diverse portfolio of vehicles and electrical architectures (including electrification / Electric Vehicle ECU designs). Your contributions will play a key role in enabling standardized hardware designs with a focus on providing common solutions and seamless software implementations across multiple vehicle platforms. Your role will interface across various GM engineering disciplines as well as external engineering entities to obtain needed information for the requirements development work.
What You’ll Do:
Your Skills & Abilities (Required Qualifications):
What Will Give You A Competitive Edge (Preferred Qualifications):
#LI-JK3
]]>GM Defense is moving fast to deliver advanced mobility solutions for government markets. We are seeking a highly capable Software & Controls Engineer to design, develop, and implement custom embedded control algorithms. This position will support both vehicle and non-vehicle applications across our unique portfolio.
Reporting to the EGM of Electrical Systems, Controls, and Software (ESCS) team, you will be hands-on in writing code and integrating requirements specific to GM Defense platforms. This is a fast-paced role where you will operate with independence to impact compressed-timeline programs—such as developing in-house controls solutions (like custom Vehicle Interface Modules) and optimizing system performance across complex electrical architectures.
What You'll Do
Key Responsibilities
Your Skills & Abilities (Required Qualifications)
What Will Give You A Competitive Edge (Preferred Qualifications)
#GMD
]]>The Role
We are seeking a Senior Software Architect to define infrastructure software requirements, translate ECU-level requirements into deployable Solution and POD requirements, and build the automated tests that validate them. This role leads across requirements, architecture, and verification, partnering with system engineers and software teams to ensure solutions are clear, testable, scalable, and ready for deployment. Strong use of AI and LLM tools to accelerate design, improve requirements and test quality, and streamline engineering workflows is a key differentiator.
What You’ll Do
Required Qualifications
Bachelor’s degree in Computer Science, Software Engineering, Electrical/Computer Engineering, or a related field, or equivalent experience.
5+ years of relevant software experience, including test automation for embedded or distributed systems.
Strong C++ and Python skills for test automation, tooling, or framework development.
Working knowledge of AUTOSAR Classic or similar embedded platforms.
Experience with CAN, LIN, Ethernet, UDS, and DoIP.
Strong understanding of software development lifecycle, testing methods, and CI/CD.
Proven ability to turn complex behavior into testable requirements and drive issues to closure across cross-functional teams.
Experience using AI or LLM tools to improve engineering efficiency, design quality, or process flow.
Preferred Qualifications
Master’s degree in a related field.
7–10 years of experience in embedded, infrastructure, or automotive software, ideally in SDV or similarly scaled architectures.
Experience with HIL systems, bench automation, vehicle testing, and service-oriented communication such as SOME/IP, DDS, or REST.
Experience extending automation frameworks, dashboards, and metrics.
Experience leading technical initiatives and mentoring engineers.
Strong practical use of AI and LLM tools for requirements generation, test creation, debugging, and faster development cycles.
Atividades:
ATENÇÃO: Não esqueça de anexar currículo com e-mail ativo.
Qualificações obrigatórias:
Qualificações Desejáveis:
The Manufacturing Launch Program Manager owns the successful deployment of all IT systems required to launch a new product. This person serves as the single point of accountability for launch execution across applications, infrastructure, controls, and cybersecurity technologies.
This role requires strong expertise in plant floor systems, network integration, manufacturing operations, material and quality systems, and tooling and manufacturing processes across Vehicle, Global Propulsion Systems (battery, engine, transmission), and/or Stamping. The Manufacturing Launch Program Manager is expected to travel up to 75% to manufacturing sites.
The Manufacturing Launch Program Manager acts as the Manufacturing IT lead for launch execution and serves as the primary point of contact for the Product Execution Team, Master Dot meetings, and plant launch business teams. This leader owns launch scope, Manufacturing IT deliverables, resource alignment, stakeholder communication, and end-to-end execution to ensure business objectives are achieved. These individual carries overall launch responsibility for GM IT.
What You’ll Do
Your Skills & Abilities (Required Qualifications)
What Will Give You A Competitive Edge (Preferred Qualifications)
People Skills
#LI-CK1
Gm does not provide immigration-related sponsorship for this role. Do not apply for this role if you will need gm immigration sponsorship (e.g., H-1B, TN, STEM, OPT, etc.) Now or in the future.
This job is not eligible for relocation benefits. Any relocation costs would be the responsibility of the selected candidate.
]]>The Role
GM is looking to hire highly skilled and experienced Senior Software Engineers to join our team focused on developing cutting-edge AI agents. This role involves leading the design, development, and deployment of robust, scalable, and intelligent software agents that drive innovation across our products and services. The ideal candidate will have a deep understanding of AI/ML principles, distributed systems, and a track record of technical leadership.
What You'll Do
Lead the architecture and implementation of next-generation AI agents, from conceptualization to production deployment.
Drive technical direction and strategy for the AI agent platform, ensuring scalability, reliability, and performance.
Collaborate with Product Managers and other engineering teams to define requirements and deliver impactful solutions.
Conduct complex code reviews, system design reviews, and provide constructive feedback.
Identify and address technical debt, performance bottlenecks, and architectural challenges within the agent infrastructure.
Stay current with the latest advancements in AI, machine learning, and software engineering to continually improve our technology stack.
Your Skills & Abilities (Required Qualifications)
Bachelor's degree in Computer Science, related technical field, or equivalent practical experience.
5+ years of professional software development experience, with a focus on large-scale distributed systems or AI/ML infrastructure.
Expert proficiency in one or more programming languages such as Python, C++, Java, or Kotlin.
Extensive experience designing, building, and deploying production-grade AI/ML models or intelligent agents.
Demonstrated technical leadership in complex projects, including mentoring and driving cross-functional initiatives.
What Will Give You a Competitive Edge (Preferred
Qualifications)
Master's or Ph.D. in Computer Science or a related quantitative field.
Deep expertise in specific AI agent technologies (e.g., Reinforcement Learning, Multi-Agent Systems, Large Language Models (LLMs)).
Experience with cloud platforms (e.g., AWS, GCP, Azure) and containerization technologies (e.g., Docker, Kubernetes).
Proficient with Android development with a proven ability to design and deploy high performance applications.
Proven ability to communicate complex technical concepts effectively to both technical and non-technical audiences.
A strong portfolio of contributions to open-source projects or relevant publications.
Compensation : The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of the California Bay Area.
The salary range for this role is ($174,900 - $222,000). The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.
Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.
This Job may be eligible for relocation benefits.
#LI-SA2
]]>
The Role
GM is seeking a Systems Analyst specializing in end user testing to support major technology transformations across a global and complex organization. This role combines strong systems analysis discipline with ownership of the end user testing function to ensure new platforms, tools, and ways of working meet business needs and support successful adoption.
The successful candidate will serve as a key bridge between business stakeholders, product teams, software engineers, architects, implementation partners, and support teams. This person will guide the analysis needed to define requirements, document future-state processes, validate delivered capabilities through end user testing, identify system enhancements, and support the creation of end user enablement materials that help the business effectively adopt new solutions.
Why This Role Matters
This role is critical to ensuring that technology transformation is not only delivered but validated from the end user perspective before and through deployment. The Systems Analyst - End User Testing will help the organization define what users need, confirm that delivered solutions support real business workflows, identify enhancements where gaps exist, and equip the business with the materials needed to successfully adopt new capabilities.
What You’ll Do
Your Skills & Abilities (Required Qualifications)
What Will Give You A Competitive Edge (Preferred Qualifications)
#LI-CK1
Gm does not provide immigration-related sponsorship for this role. Do not apply for this role if you will need gm immigration sponsorship (e.g., h-1b, TN, stem opt, etc.) Now or in the future.
GM will not support relocation for this position.
]]> Our Mission:
At General Motors, our product teams are redefining mobility. Through a human-centered design process, we create vehicles and experiences that are designed not just to be seen, but to be felt. We’re turning today’s impossible into tomorrow’s standard —from breakthrough hardware and battery systems to intuitive design, intelligent software, and next-generation safety and entertainment features.
Every day, our products move millions of people as we aim to make driving safer, smarter, and more connected, shaping the future of transportation on a global scale
Hybrid : This position allows flexibility utilizing our hybrid-work appropriately model (On-site Tues., Wed., & Thurs.) where team members can work at General Motors Milford Proving Ground, Milford, Michigan or off-site, requiring the team member be onsite to support project needs.
The Role :
The Calibration Tech Specialist plays a vital role in projects, leveraging his or her expertise and cross functional partners to provide the roadmap and building blocks for calibration execution.
What You'll Do:
Lead the Calibration TRB for Application Torque Controls spanning all propulsion types
Set Direction for Best Practices and Procedures
Provide Technical Mentoring (for both control system functionality and calibration strategy) to individuals in and out of the direct group, including global partners
Assist in program issue resolution
Lead technical discussions with Government Regulatory agencies
Support development of initial Calibration Procedure as a Scrum team member for the given area, including procedures for joint venture partners. Lead the refinement of the Calibration Procedure.
Support the Scrum teams during job function assignment, master calibration default value assignments, calibration tool development, diagnostic matrix or typing sheet development
Provide calibration input to the Agile Release Train or Advanced requirements development team during initial control system design
Provide feedback from the Calibration TRB on missing use cases, noise factors, limitations, and assumptions to improve control system performance and capability
Your Skills & Abilities (Required Qualifications) :
Bachelor’s degree in Mechanical and/or Electrical Engineering, Computer Engineering, Chemical Engineering
5+ years of calibration or controls experience in the field of expertise
Strong background in propulsion system calibration, including tools (Matlab/Simulink, Inca, ETAS)
Ability to travel domestically and internationally
Ability to legally drive a vehicle in North America, meeting GM’s Safe Driving rules and regulations
High level of oral and written communication skills
Demonstrated technical & professional skills in job-related areas
High level of interpersonal styles and communication methods to work effectively with cross-functional partners to meet mutual goals
High level of analytical problem solving ability, including independent judgment & decision making skills
Ability to prioritize work with only limited direction from manager
Lead discussions, action plans and solutions to drive issues to closure at the organizational level
What Will Give You A Competitive Edge (Preferred Qualifications) :
Master’s or PhD degree in Engineering
8+ years of experience in the propulsion torque controls or calibration domain
DFSS Black Belt Certification
Strong background in Controls knowledge of assigned area
Knowledge and understanding of the Agile development process
#LI-SW1
SPONSORSHIP: GM DOES NOT PROVIDE IMMIGRATION-RELATED SPONSORSHIP FOR THIS ROLE. DO NOT APPLY FOR THIS ROLE IF YOU WILL NEED GM IMMIGRATION SPONSORSHIP NOW OR IN THE FUTURE. THIS INCLUDES DIRECT COMPANY SPONSORSHIP, ENTRY OF GM AS THE IMMIGRATION EMPLOYER OF RECORD ON A GOVERNMENT FORM, AND ANY WORK AUTHORIZATION REQUIRING A WRITTEN SUBMISSION OR OTHER IMMIGRATION SUPPORT FROM THE COMPANY (e.g., H-1B, OPT, STEM OPT, CPT, TN, H4 EAD, J-1, etc.)
This job is not eligible for relocation benefits. Any relocation costs would be the responsibility of the selected candidate
Why Join Us
At GM, you’ll be at the forefront of shaping the future of connected, electric, and autonomous vehicles . You’ll work on cutting-edge antenna systems alongside some of the brightest minds in automotive and RF technology — with the resources to make an impact at scale. We offer competitive compensation, growth opportunities, and a culture that values innovation, inclusion, and forward thinking . This is a unique opportunity to lead, innovate, and help millions of customers around the world stay connected on the move .
Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.
Benefits : GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.
Diversity Information
General Motors is committed to being a workplace that is not only free of discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that workforce diversity creates an environment in which our employees can thrive and develop better products for our customers. We understand and embrace the variety through which people gain experiences whether through professional, personal, educational, or volunteer opportunities.
We encourage interested candidates to review the key responsibilities and qualifications and apply for any positions that match your skills and capabilities
The mission of the GM EDI team is to develop, execute, and maintain an EDI strategy that enables GM to exchange business data across its supply chain quickly, accurately, securely, and at scale. Success in this role requires strong command of GM EDI standards, trading partner processes, enterprise integration patterns, and the business processes that support Purchasing, Supply Chain, Logistics, Manufacturing, Finance, and Retail Sales.
The GM EDI Team is seeking a Senior System Engineer to partner across internal IT teams, business stakeholders, external trading partners, and strategic SaaS vendors. This role is ideal for a senior-level EDI professional who combines deep technical expertise with strong systems thinking, business process knowledge, and the ability to influence modern integration solutions.
In this role, you will help support EDI operations, modernization, process automation, and technical thought leadership across GM’s B2B and emerging B2C integration landscape. You will be expected to challenge the status quo and help GM shape the future of digital business connectivity with our trading and technology partners, including how the B2B network can be expanded to support broader supply chain collaboration use cases.
What Success Looks Like
Technical Lead - Autonomous Driving Evaluation Infrastructure
Description
Role Overview: As a Technical Lead of the Galileo team, you will be a senior individual contributor building and optimizing the infrastructure and required technology for all testing and evaluation workflows for both vehicle release and autonomous driving stack validation and verification. This includes building and optimizing data processing pipelines for large scale analysis. Your role will include defining and shaping the technical vision and strategy to ensure alignment with broader company objectives, designing and implementing systems to support AV / ADAS development. You will drive software engineering best practices within the team and develop tools that promote these standards company-wide.
About the Organization: The GM AV Simulation team builds world-class testing and analysis related products and technologies to enable GM to accelerate development of autonomous vehicles as well as general vehicle software development. Our customers range from AV developers understanding the effects of their code on vehicle behavior, data engineers using our data pipelines to build the craziest insights for various evaluation needs, to the release team tracking top-line performance metrics on releases. AV Simulation aims to deliver intuitive user experiences for robotics and AI engineers that accelerate GM towards a driverless future. Galileo is building the core infra and architecture to support testing at scale. As part of this team, you will build the infra and required tech for test organization, test triggering, test analysis workflows and the related data pipelines.
What You’ll Do:
Act as technical architect, help define technical vision and strategy, and ensure the technical direction of your team aligns with broader company objectives.
Design and implement systems capable of supporting simulating millions of miles of driving every day to predict on-road performance
Improve and deliver reliable software through continuous integration, automated testing, and code reviews.
Drive software engineering best practices within your team and develop tools that promote these standards company-wide.
Develop and oversee top-tier software engineers within a dynamic, fast-paced, and inclusive setting
Help define, build, and embody GM engineering culture and principles
Your Skills & Abilities:
BS, MS, or PhD in Computer Science, Robotics, or equivalent experience
A demonstrated track record of building high quality software and a focus on the customer through operational excellence
Broad exposure to the end-to-end product engineering stack, from frontend to infrastructure
Experience with SOA or microservice-based architectures, large scale distributed systems, and common cloud platforms like AWS/GCP
Strong organizational and communication skills.
Self-motivation and passion to lead, mentor, encourage best practices, and constantly improve
Familiarity with Python, Go, Node, React or other web development framework/languages
PostgreSQL (or similar relational database) and data warehouse technologies like BigQuery or Amazon Redshift.
Passion for self-driving technology and its potential impact on the world
What Will Give You A Competitive Edge:
A background in robotics, ROS, or the AV/ADAS industry
Scientific Analysis experience
Experience with data pipelines/workflows supporting data scientists
Experience building high quality dev productivity tools.
Experience writing modern production C++ applications
Experience developing high-quality software under significant latency and performance constraints
Experience developing or working with safety-critical code
Remote: This role is based remotely but if you live within a 50-mile radius of [Atlanta, Austin, Detroit, Warren, Milford or Mountain View], you are expected to report to that location three times a week, at minimum.
Relocation: This job may be eligible for relocation benefits.
“Company Vehicle: Upon successful completion of a motor vehicle report review, you will be eligible to participate in a company vehicle evaluation program, through which you will be assigned a General Motors vehicle to drive and evaluate. Note: program participants are required to purchase/lease a qualifying GM vehicle every four years unless one of a limited number of exceptions applies.”
#GM-AV-1
*This role is open to hire at 1 of 2 levels. (L6 or L7)
What You’ll Do:
Lead the requirements documentation and coordination by developing Behavior Technical Specifications (BTS’s) for chassis diagnostics and analytics projects and translating these to project initiatives, capabilities, and features.
Create and maintain requirements for serial data and service-level diagnostics (ex. RIDs/DIDs) using “On-board Diagnostic Principles” and communication services.
Organize and approve requirements written by other group members.
Maintain privacy impact assessments for the data that the group collects and uses.
Manage the data element tracking and sourcing strategy for the chassis space, including establishing required data elements, documenting source databases and tables, and proposing proper collection cadences.
Develop and manage supplier data-sharing contracts.
Develop and manage requirements for the data collection initiatives, capabilities, and features throughout the group by working with our IT teams to
Demonstrate exceptional communication skills while reporting out to leadership (on a regular cadence) the progress of diagnostics and analytics development.
Lead failure mode effects analysis and test regime discussions with our diagnostics and analytics developers.
Your Skills & Abilities (Required Qualifications):
(Required for Level 6)
Bachelor of Science degree in Computer Science, Engineering, Applied Mathematics, Statistics, Data Governance, or Data Analytics.
3+ years of experience utilizing data analysis methods and success solving complex problems.
2+ years of experience of working with vehicle telematics data, on-board diagnostics, or serial data.
Sufficiency using relevant programming languages: Python, SQL, Scala, & R.
Proficiency using the Databricks platform.
Familiarity with data and analytics architecture and principles.
Familiarity with continuous integration and continuous deployment methodologies and their application in data engineering and analytics workflows.
Familiarity with data governance principles.
Capable of converting ambiguous problem statements into concrete project requirements.
Passion for data driven results and customer initiatives.
(Required for Level 7)
Bachelor of Science degree in Computer Science, Engineering, Applied Mathematics, Statistics, Data Governance, or Data Analytics.
5+ years of experience utilizing data analysis methods and success solving complex problems.
2+ years of experience of working with vehicle telematics data, on-board diagnostics, or serial data.
Sufficiency using relevant programming languages: Python, SQL, Scala, & R.
Proficiency using the Databricks platform.
Familiarity with data and analytics architecture and principles.
Familiarity with continuous integration and continuous deployment methodologies and their application in data engineering and analytics workflows.
Familiarity with data governance principles.
Capable of converting ambiguous problem statements into concrete project requirements.
Passion for data driven results and customer initiatives.
What Will Give You A Competitive Edge (Preferred Skills):
(Preferred for Level 6)
Master’s of Science degree in Computer Science, Engineering, Applied Mathematics, Statistics, Data Governance, or Data Analytics.
Chassis sub-system understanding (i.e. braking, vehicle dynamics, steering, and/or suspension systems).
Proficiency using relevant programming languages: Python, SQL, Scala, & R.
Proficiency using relevant programming tools: Databricks, Spark, Hive, and Power BI.
Proficiency/Certifications using relevant tools: Databricks (Certification), MLFlow, MATLAB, Tableau & Github.
(Preferred for Level 7)
Master’s of Science degree in Computer Science, Engineering, Applied Mathematics, Statistics, Data Governance, or Data Analytics.
8+ years of experience utilizing data analysis methods and success solving complex problems.
Chassis sub-system understanding (i.e. braking, vehicle dynamics, steering, and/or suspension systems).
Proficiency using relevant programming languages: Python, SQL, Scala, & R.
Proficiency using relevant programming tools: Databricks, Spark, Hive, and Power BI.
Proficiency/Certifications using relevant tools: Databricks (Certification), MLFlow, MATLAB, Tableau & Github.
Experience with data sharing agreements and privacy impact assessments.
General Motors is transforming the transportation industry through advanced electrical architectures, high-performance computing, and the integration of ADAS and infotainment capabilities. GM’s Software-Defined Vehicle 2.0 (SDV2) platform is our next-generation centralized computing architecture. At the heart of this transformation is an in-house designed, liquid-cooled central compute unit that enables faster development cycles, more efficient software updates, and seamless scalability across every GM brand.
As an Electrical Hardware Engineer - Compute Validation, you will play a key role in the validation and release readiness of next-generation high-compute ECUs that enable automated driving, vehicle intelligence, and immersive digital experiences. This role is intended for an experienced engineer who can independently drive validation activities across prototype and production-intent hardware, with direct ownership of environmental and EMC validation planning, execution, issue tracking, and closure. You will work cross-functionally with design, systems, software, mechanical, manufacturing, and vehicle integration teams to ensure robust hardware performance across real-world automotive conditions.
Key Responsibilities
Compute Validation Ownership
Environmental and EMC Ownership
Bring-Up, Debug, and Test Execution
Cross-Functional Collaboration
Quality and Compliance
Required Qualifications
Preferred Qualifications
#LI-JK3
]]>The Role
At General Motors, we're revolutionizing decision-making through cutting-edge business analytics platforms. Our business analytics platform engineering team is at the forefront of this transformation, leveraging the power of Azure and AWS to deliver enterprise-grade solutions that provide insights to everyone across the company.
As a Senior Systems Engineer, you'll play a pivotal role in shaping the future of our data-driven culture. You'll be responsible for architecting, building, and maintaining state-of-the-art analytics platforms including Power BI Premium on Azure Fabric, Tableau Analytics on AWS, and Cognos Analytics on Azure Red Hat OpenShift (ARO) to name a few.
This is more than just a technical role – it's an opportunity to drive innovation and empower thousands of users with self-serve capabilities and frictionless experiences. You'll be at the helm of developing these platforms as products, ensuring end-to-end engineering excellence and setting new standards in developer productivity.
This role offers an exciting opportunity to shape the future of business analytics platforms, driving innovation and efficiency in data-driven decision-making across the organization.
If you're passionate about cloud technologies, thrive on complex challenges, and want to make a tangible impact on a global scale, we want you on our team. Join us in building the future of business analytics platforms at GM.
This job may be eligible for relocation benefits.
Compensation:
GM DOES NOT PROVIDE IMMIGRATION-RELATED SPONSORSHIP FOR THIS ROLE. DO NOT APPLY FOR THIS ROLE IF YOU WILL NEED GM IMMIGRATION SPONSORSHIP NOW OR IN THE FUTURE. THIS INCLUDES DIRECT COMPANY SPONSORSHIP, ENTRY OF GM AS THE IMMIGRATION EMPLOYER OF RECORD ON A GOVERNMENT FORM, AND ANY WORK AUTHORIZATION REQUIRING A WRITTEN SUBMISSION OR OTHER IMMIGRATION SUPPORT FROM THE COMPANY (e.g., H-1B, OPT, STEM OPT, CPT, TN, J-1, etc.)
#LI-CC1
]]>The Role
Energy and Propulsion Systems research is aimed at driving propulsion and vehicle efficiency, cost, and performance improvements. Research also focuses on advancing vehicle and propulsion systems to target enterprise cost reduction through warranty improvement and engineering development efficiency.
We are looking for highly motivated, technically exceptional candidates to join our team in the fast-growing field of Vehicle Health Management (VHM). This is an exciting opportunity to work at the intersection of connected vehicles, data science, physics-based modeling, and advanced AI to create technologies that make vehicle ownership more convenient, and more seamless for millions of customers.
In this role, you will help transform vehicle engineering data—collected through wireless communication with customer consent—into actionable insights that can predict system issues before they affect vehicle performance or disrupt everyday life. Our VHM work combines fundamental physics-based understanding with modern machine learning approaches, including large language models, to deliver scalable diagnostics, prognostics, and system performance management solutions.
GM is a leader in this space. One example is the industry-first OnStar Proactive Alert for Starting System, which warns customers of a potential component failure before it becomes an emergency, turning unplanned repairs into scheduled maintenance. Today, this service is available on more than 10 million GM vehicles. Joining this team means contributing to technologies already making a real-world impact at scale.
What You’ll Do
What makes this role especially exciting is the chance to work with a collaborative, forward-looking team tackling challenges in cloud computing, predictive modeling, and AI/ML to advance Vehicle Health Management. We are looking for researchers who are energized by technical innovation and motivated by the ability to translate their work into meaningful improvements in people’s everyday lives. Here are just a few of the opportunities you can look forward to:
What You’ll Need (Required Qualifications)
What Will Give You a Competitive Edge (Preferred Qualifications)
The Role:
General Motors is a global leader in advanced driver assistance. With Super Cruise hands-free technology in more than 500,000 Super Cruise-equipped vehicles on the road, and over 700 million hands‑free miles driven, GM is proving that automation can be trusted, intuitive, and helpful. GM has the global reach to bring cutting‑edge advances to everyday drivers at an unprecedented scale. Join us to help deliver the next generation of safe and delightful personal autonomous vehicle experiences.
About the Organization:
The Evaluation team builds and evolves the evaluation ecosystem that powers developing and scaling GM’s autonomous driving technology. We develop metrics, automated workflows, and analysis approaches that enable data-driven decisions across AV development and verification. Partnering with Autonomy, Simulation, Systems, and Safety teams, we act as system-level integrators and arbiters of end-to-end AV quality. We own large scale test scenario libraries, continuous evaluation pipelines, and critical risk assessment and release gating components, treating road testing, data mining, training, and metrics as first-class use cases in a unified analytics framework. By joining this team, you will help shape GM’s core evaluation platforms, turn system-level results into clear feedback, and help accelerate validated AV deployment at scale.
What You’ll Do:
Architect large-scale evaluation pipelines that quantify the accuracy and reliability of simulation tests used for autonomous vehicle software validation.
Lead cross-functional initiatives with Autonomy, Systems Engineering, Simulation, and Data teams to tightly integrate team-owned evaluation products into regular development workflows and release decision processes.
Invent novel methodologies and deliver implementation to quantify and characterize the trustworthiness and effectiveness of simulation testing and evaluation products at scale.
Drive technical roadmaps and strategic priorities while partnering cross-functionally to integrate new simulation technologies aligned with AV goals.
Own and refine key simulation evaluation metrics and KPIs used for readiness and safety decisions; synthesize and present results and tradeoffs to stakeholders; make insights readily available to partner teams through interactive dashboards.
Maintain a high technical standard through architectural design, design reviews, and code reviews, setting patterns and best practices for the broader team.
What You Must Have:
7+ years of applied experience developing complex evaluation, simulation, or test frameworks.
Proficient in developing Python for production systems, including unit testing, code review, performance tradeoffs, and reliability best practices.
Proven cross-team technical leadership, including defining strategies adopted by multiple teams and influencing system and architecture decisions.
Strong written and verbal communication, driving decisions, communicating risk, and giving constructive feedback to diverse stakeholders.
Bachelor’s or higher degree in Computer Science, Engineering, or equivalent experience.
What Will Give You a Competitive Edge:
Experience in autonomous driving or high-stakes field robotics; designing, running, and interpreting large-scale simulation and field experiments.
Experience working on test strategies and validation for safety-critical products.
A strong, data-driven curiosity to investigate anomalies and systematically root-cause discrepancies.
Familiarity with SQL, time-series data analysis, performance monitoring tools and dashboarding systems (e.g., Looker, Streamlit).
“Company Vehicle: Upon successful completion of a motor vehicle report review, you will be eligible to participate in a company vehicle evaluation program, through which you will be assigned a General Motors vehicle to drive and evaluate. Note: program participants are required to purchase/lease a qualifying GM vehicle every four years unless one of a limited number of exceptions applies.”
Compensation:
The expected base compensation for this role is: $157,100 - $246,500. Actual base compensation within the identified range will vary based on factors relevant to the position.
You also need to include general information about potential commissions, if applicable.
Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.
Benefits:
Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.
The Role
General Motors has needs for qualified Industrial Electrician Journeypersons. Working under minimal supervision, the skilled trades Electrician Journeyperson is responsible for layout, installation, repair and preventative maintenance of complicated electrical equipment and circuits, troubleshooting and technical expertise on control systems.
Primary Responsibilities:
Follow established safety procedures according to OSHA standards and company procedures
Responsible for the maintenance and repair of electrical equipment
Analyze and troubleshoot electrical malfunctions in equipment and related components, diagnosing and correcting the problems quickly to avoid production delays
Perform electrical preventative and corrective maintenance on all plant equipment
Promote teamwork and show a willingness to work with other departments
Participate in continuous improvement activities
Read and interpret drawings and wiring schematics
Demonstrate strong problem-solving skills
Interested individuals must meet the following minimum qualifications:
At least six (6) years of related experience as an Electrician or a U.S. Department of Labor Certificate of Completion in the Electrical trade.
Must be able to satisfactorily complete the General Motors hiring process requirements which includes comprehensive assessments, drug testing, and a background check
At least 18 years of age
Eligible to work in the United States
Must be willing to work flexible shift hours and day, afternoon, or night shift as well as overtime hours daily, weekends and holidays on those shifts with little notice
GM DOES NOT PROVIDE IMMIGRATION-RELATED SPONSORSHIP FOR THIS ROLE. DO NOT APPLY FOR THIS ROLE IF YOU NEED OR WILL NEED GM IMMIGRATION SPONSORSHIP TO WORK OR TO REMAIN EMPLOYED AT GM (e.g., H-1B, TN, STEM OPT, etc.).
If you are a current GM employee operating under a collective bargaining agreement, please contact your local HR/LR for employee placement opportunities.
This position may be filled with a Journeyperson or Journeyperson In Training, the compensation ranges for a JIT include ($37.77-$44.06) or Journeyperson rate of $44.96. Certificates/credentials and scoring in interview will determine your status and pay.
Physical Requirements
Quick response to safety instructions, alarms, and signals are a must
Ability to work and stand for extended periods
Comfortably wear personal protective equipment
Navigate a busy environment
Bend, twist, kneel, crouch, and reach
May need to lift or carry materials weighing up to 50 lbs. depending on department
Occasional sitting during certain tasks
Drive mobile equipment when needed
General Motors UAW hourly employment offers a very competitive compensation and benefit package. An annual incentive payout is also available, as qualified.
Relocation and travel expenses will be the responsibility of the applicant.
Please note – per the labor agreement between GM and the UAW, GM may share information and documentation relating to the credentials of applicants for this position (e.g., resumes, journeyperson cards, interview notes, certificates, etc.) with UAW personnel who have a need to know as part of their role on the UAW skilled trades team.
]]>REQUIREMENTS : Bachelor's degree in Mechanical Engineering, Electrical Engineering, Industrial Engineering, Manufacturing Engineering, or related field of study and Two (2) years of experience as a System Integration Engineer, Design Engineer, or related role. Two years of experience with: Embedded Controls, Software Architecture; Automotive mechanical systems, electrical and electronic components, mechatronics, distributed control systems, serial data, and software architectural concepts; Software development processes; Virtual Simulation Development; Product Integration Processes; and Electrical allocation and testing processes.
#LI-DNI
]]>REQUIREMENTS : Master's degree in Electrical Engineering, Mechatronics Engineering, or related field of study and One (1) year of experience as a Electrical Engineer, Validation Engineer, or related occupation. Requires one (1) year of experience with the following: Validating and releasing passenger vehicle Electronic Control Units (ECUs) or virtual ECUs, at component and system level using Vector CANalyzer and CANoe tools, Synopsys Virtualizer, Corellium, and Lauterbach Trace 32 hardware; Creating SystemC TLM2.0 models of microcontrollers, asics, drivers, modules, switches, timers, and transceivers; and Integrating microcontroller and peripheral models into full Level 4 virtual ECUs.
#LI-DNI
]]>About Us
We’re on a mission to build the world’s most advanced self-driving vehicles to safely connect people to the places, things, and experiences they care about. At GM's Autonomous Vehicle (AV) organization, we’re combining cutting-edge research, robust engineering, and large-scale systems to make this future a reality. Our team is developing national-scale, next-generation mapping systems from the ground up—combining robust backend infrastructure with intuitive, performant user interfaces.
The Role
We are looking for a Staff Software Engineer with deep expertise in distributed backend systems to join our Mapping Engineering team. You’ll serve as a technical leader responsible for designing and building the scalable systems that power ingestion, storage, access, and delivery of autonomous vehicle maps. You’ll partner closely with EMs, Staff/Principal ICs, and cross-functional teams to define the architecture and deliver next gen mapping capabilities that scale to national deployments. This is a hands-on leadership role requiring strong systems thinking, architecture design, and the ability to guide and mentor engineers across teams. You’ll operate autonomously, lead cross-functional technical initiatives, and ensure the health, scalability, and performance of our critical mapping pipelines and services.
What You’ll Do (Responsibilities)
Architect and implement scalable, reliable, distributed backend systems to support national-scale mapping.
Design and evolve data pipelines and microservices for map ingestion, transformation, storage, and release.
Own end-to-end delivery of high-impact projects, including defining milestones, aligning stakeholders, and mentoring ICs across functions.
Collaborate cross-functionally with Localization, Perception, Simulation, and Offboard teams to define data contracts and ensure system interoperability.
Drive technical excellence by conducting system-level design reviews, mentoring engineers, and setting the standard for code quality, testing, and documentation.
Diagnose and resolve large-scale system issues across services, data pipelines, and production environments.
Serve as the Subject Matter Expert (SME) in distributed system design, performance optimization, and backend architecture within Mapping and potentially across GM AV.
Help shape technical roadmaps and hiring plans for growing distributed systems expertise across the org.
Minimum Qualifications (Must-Have)
5+ years of experience designing, implementing, and operating scalable distributed systems in production.
Bachelors degree in related field or relevant work experience
Strong proficiency in Python (optional C++, TypeScript), and system-level programming fundamentals.
Deep understanding of databases, caching, data modeling, and service-oriented architecture (SOA).
Proven experience building and deploying distributed systems on major cloud platforms such as Google Cloud, AWS, or Azure.
Experience with data orchestration pipelines and ETL mechanisms (eg. airflow)
BS, MS, or PhD in Computer Science, Electrical Engineering, or related technical field, or equivalent industry experience.
Demonstrated success in leading cross-functional technical initiatives, influencing architectural decisions across teams, and mentoring senior engineers.
Preferred Qualifications (Nice-to-Have)
Experience with mapping, geospatial data, or robotics systems (e.g., Localization, Perception).
Familiarity with autonomous vehicle software stack, including the map-data lifecycle and software safety standards.
Experience in CI/CD pipeline design, large-scale deployment strategies, or cloud-native architecture.
Proficiency with Linux systems, container orchestration (e.g., Docker, Kubernetes), and distributed logging/metrics systems.
Knowledge of machine learning data pipelines or HD map labeling infrastructure.
Compensation: The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of New York, Colorado, California, or Washington.
The salary range for this role: is $185,100 to $335,300. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.
Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.
Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.
Company Vehicle: Upon successful completion of a motor vehicle report review, you will be eligible to participate in a company vehicle evaluation program, through which you will be assigned a General Motors vehicle to drive and evaluate. Note: program participants are required to purchase/lease a qualifying GM vehicle every four years unless one of a limited number of exceptions applies.
#GM-AV-1
]]>Hybrid:
This role is categorized as hybrid. This means the successful candidate is expected to report to Milford, MI three days (Tues., Wed., Thurs.) a week, at minimum.
Our Mission:
There’s never been a more exciting time to work at General Motors! We are passionate about our bold vision of a world with Zero Crashes, Zero Emissions, and Zero Congestion . Our culture is built on inclusivity, where diverse perspectives are embraced, and every employee can contribute to their fullest potential. We offer flexible and tech-savvy work environments, foster innovation through collaboration, and encourage community engagement through volunteerism.
The Role:
The AI Governance Specialist is responsible for establishing, executing, and continuously improving the AI governance framework for vehicle motion software product portfolio. This role provides technical leadership to ensure that all AI elements — whether embedded in vehicle products (e.g., vehicle motion control) or used in the software development process (e.g., AI-assisted requirement generation, test case generation, code tools) comply with applicable automotive safety standards and GM AI policies. The engineer serves as VMEC's primary lead on AI governance methodology and acts as the bridge between software engineering, system safety, and enterprise AI governance bodies.
What You'll Do:
Your Skills & Abilities (Required Qualifications):
What Will Give You A Competitive Edge (Preferred Qualifications):
Benefits:
GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.
Relocation:
This job may be eligible for relocation benefits.
The selected candidate will be required to travel <25% for this role.
The Staff Product Cybersecurity Engineer, Secure Product Engineering is a senior individual contributor within the Secure Product Engineering pillar of the broader Product Cybersecurity organization at General Motors. Through close, hands-on partnership with product engineering teams, this engineer helps ensure that software and systems are implemented securely as products move through the build phase of development. As a technical leader without direct reports, this role personally builds the tooling, patterns, and secure-engineering capabilities—and provides the technical guidance and workflows—that allow secure software and systems engineering to scale across GM's product portfolio, spanning embedded vehicle software, mobile experiences, and other key software & services. This is a deep-expertise, execution-focused role. Influence is earned through technical credibility, mentorship, and leading by example rather than through people management.
What You'll Do
Serve as a hands-on technical leader across secure software and systems engineering, driving outcomes through direct execution and influence rather than direct reports
Personally design, build, and mature a robust set of secure engineering services and capabilities for GM products
Establish close, embedded partnerships with product engineering teams to support and directly contribute to secure implementation
Implement and mature SAST, DAST, fuzzing, runtime security, and OS security hardening of core code bases
Author technical guidance, reusable patterns, and guardrails, and roll them out across product environments
Perform in-depth secure code review and partner with adjacent teams to improve tooling and carry security requirements into engineering
Mentor and uplevel engineers across the pillar, setting a high technical bar through example and pairing
Your Skills & Abilities (Required Qualifications)
8+ years of cybersecurity experience with roles in application security, product security, or similar
Demonstrated technical leadership and influence in relevant security or engineering-focused roles—leading initiatives without formal authority, mentoring engineers, and setting technical direction
Expertise with application security, secure software engineering, and practical technical guidance
Experience with SAST, DAST, fuzzing, code review, and secure SDLC workflows across platforms
Able to read and write software in multiple programming languages to personally build tooling and support the team's execution
Works closely with engineering teams to materially improve security without unnecessary friction
What Will Give You A Competitive Edge (Preferred Qualifications)
Prior role(s) in the automotive industry or a similarly complex, deadline-driven, and regulated field
Published cybersecurity research projects (e.g. conference talks, blog posts, code repositories)
Familiarity with embedded software/OS security, mobile applications, and backend development
Have previously built custom security tooling and/or extended functionality in related technologies
What You'll Bring
A high-ownership, hands-on style with strong product instincts and a pragmatic security mindset
A commitment to internal customer partnership and technically credible security support
Deep technical expertise that enables clear guidance, strong mentorship, and opinionated technical planning
The ability to manage multiple complex priorities with clear milestones and measurable outcomes
A bias toward scalable improvement that strengthens Secure Product Engineering over time
#LI-SB3
]]>The Data Engineering Manager will lead a team of data engineers focused on building and operating Customer data platforms supporting OnStar, Connected Services, Customer, Marketing, Personalization, AI, and Advanced Analytics.
This is a highly technical leadership role responsible for building scalable, cloud-native data products across a multi-cloud Lakehouse architecture with a strong focus on Databricks, Distributed Data Processing, near Real-Time Streaming, AI/ML, and Generative AI. If you're passionate about distributed systems, Databricks, AI, cloud platforms, and building engineering organizations that move fast and innovate continuously, we'd love to meet you.
You are a technology leader who combines deep technical expertise with strong people leadership. You thrive in solving complex engineering challenges, embrace innovation, and are passionate about building scalable, AI-ready data platforms that power millions of connected customer experiences. Your ability to influence strategy, mentor engineers, and deliver modern data solutions will shape the future of GM's customer data ecosystem.
What You'll Do
Your Skills & Abilities ( Required Qualifications)
What Will Give You A Competitive Edge ( Preferred Qualifications)
The Construction Project Manager provides construction project management services for manufacturing plants (assembly, stamping, powertrain, casting, and paint), non-manufacturing sites and/or PDPM projects by overseeing all aspects of delivering completed projects.
Responsibilities include the completion of all work including site/civil, buildings, and utilities infrastructure for assigned projects from funding approval through stakeholder occupancy.
What You'll Do:
Your Skills & Abilities (Required Qualifications):
Hybrid:
This role is categorized as hybrid. This means the successful candidate is expected to report to Milford, Michigan three times per week, at minimum.
Our Mission:
At General Motors, our product teams are redefining mobility. Through a human-centered design process, we create vehicles and experiences that are designed not just to be seen, but to be felt. We’re turning today’s impossible into tomorrow’s standard —from breakthrough hardware and battery systems to intuitive design, intelligent software, and next-generation safety and entertainment features.
Every day, our products move millions of people as we aim to make driving safer, smarter, and more connected, shaping the future of transportation on a global scale.
The Role:
The Software Test Engineer position in the Testing and Deployment team will use the Behavior Driven Development (BDD) methodology to create, maintain, improve, and automate solution, system, and feature level acceptance tests in both hardware (HIL/Vehicle) and simulation (SIL) environments. Work closely with Controls, Software, Calibration and other test engineers to identify issues, troubleshoot problems, and develop solutions.The organization is focused on end-to-end delivery of high voltage battery software for GM's EV portfolio. This includes both on-board and off-board diagnostic and prognostic development, and representation of safety critical content at the highest levels of the company.
What You’ll Do:
Create, modify, maintain, and execute Solution, System, or Feature level test plans
Utilize understanding of simulation/automation tools (Cosim, Autobot, etc.) to create, own, and maintain automated test cases
Organize, plan, and coordinate testing activities with Scrum Team
Utilize tools to engineer, execute, and automate tests in SIL/HIL/vehicle environments
Support identification of testing resource requirements
Diagnose and correct vehicle, system, and controls deficiencies
Support resolution of vehicle, plant, lab, or customer issues
Work with field service engineers and Onstar reps to troubleshoot vehicles
Analyze, review results, and document test failures via PRTS, Jira etc.
Lead/Support best practices and process improvement initiatives
Support program team reviews and demos
Participate in development trips and related test activities as needed
Perform other related duties as assigned
Your Skills & Abilities (Required Qualifications):
BS in Electrical/Computer/Software Engineering, Computer Science, or related field
2+ years of demonstrated work experience with technical and professional skills in job-related area.
Experience with Behavior Driven Development (BDD) process and familiarity with Gherkin
Proficient in Python programming language
Experience with GitHub, Jenkins, GitHub Actions, Jira and other configuration management, version control and code quality tools
High level of oral and written communication skills
High level of interpersonal skills to work independently and effectively with others
Appropriate interpersonal styles and communication methods to work effectively with business partners to meet mutual goals required
Ability to deal with ambiguity and work autonomously
Valid US Driver License
What Will Give You A Competitive Edge (Preferred Skills):
MS in Electrical/Computer/Software Engineering, Computer Science, or related field.
5+ years of demonstrated work experience with technical and professional skills in job-related area.
Proficient in test automation framework (Autobot, Autoval, etc.)
Proficient with GM’s simulation environment (CoSIM/GMSIM)
Experience with vehicle and bench validation at component, subsystem, or system level
Experience with data logging tools (INCA, Vehicle Spy, CANALYZER Tools etc.)
Experience with HIL and HIL tools (DSPACE, etc.)
Working knowledge of embedded software development using C/Matlab/Simulink and associated tools (Jira, DOORS, Rhapsody, GIT etc.)
Quick to learn, ambitious, and willing to work hands-on with GM's vehicles and benches.
Agile development framework knowledge/experience
Benefits:
GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.
Relocation:
This job may be eligible for relocation benefits.
The selected candidate will be required to travel <25% for this role.
]]>This role is categorized as on-site. The successful candidate is expected to report to the HQ Building full time.
The Role -
We are seeking a qualified and motivated Legal Counsel to join our legal team. This role will provide legal support across a broad range of transactional, corporate governance, and general corporate matters. The successful candidate will work closely with business teams and senior legal leadership to deliver practical, commercially-minded legal advice in a fast-paced, dynamic environment.
What You’ll Do
Transactions
Corporate Governance
Joint Venture (JV) Support
General Legal and Administrative Support
Your Skills & Abilities (Required Qualifications)
Qualifications and Requirements
Personal Attributes
What Will Give You a Competitive Edge (Preferred Qualifications)
The Role -
Senior designer working fully independently responsible for creating new designs for full-size exterior of automotive vehicles. Work collaboratively in a team of design personnel to achieve design goals as defined by leadership. Follow design process from initial sketches through final release of models. Present creative design ideas and concepts in scale and full size sufficient to communicate thought process to management and leadership. Capable of developing 3D mock-ups of proposed design solutions. Works closely with team members and cross-functional partners in sculpting and engineering to negotiate criteria and communicate design intent. Understands program timelines and task completion in a deadline driven environment.
What You’ll Do -
Create new and unique exterior design and component ideas and concepts independently for automotive vehicles and other mobility products through traditional sketches as well as digitally through the use of 2D and 3D technology.
Collaborate frequently with design team, sculpting organization, engineering and fabrication teams in the development of new designs.
Take a big-picture perspective on customer needs and future transportation and create provocative concepts and designs.
Work duties involve a considerable amount of perception, design taste, judgement and creativity as well as a definite degree of skill and accuracy.
Provide insight and recommendations to supervisors and leadership while possessing willingness and acumen to act upon general guidance in a deadline driven environment.
Maintain knowledge of current design trends and technology.
Present ideas frequently to management and leadership to communicate design ideas. Exhibit design courage and challenge expectations.
Employees may be assigned additional responsibilities as needed.
Your Skills & Abilities (Required Qualifications)
Deep experience and confidence in developing proposals in digital 3D and physical full-size clay.
Able to approach projects from a strategic point of view and autonomously drive development.
What Will Give You a Competitive Edge (Preferred Qualifications)
Experience in production programs would be beneficial.
Work Arrangement: This role is categorized as hybrid on mid shift (3PM - 12AM) . This means the successful candidate is expected to report to GM Philippines office three times per week or other frequency dictated by the business.
The Role
Rotational opportunity providing experiences in various functions and groups within the Tax department (Tax Accounting, Tax Compliance, Tax Audits, International Tax, State and Local Tax, Value Added Tax, and Tax Planning). Designed for self-starters who take initiative, can manage projects through to completion, and have strong written and oral communication abilities.
What You’ll Do
Responsible for operationally executing and supporting from GL perspective:
Monthly closing and reporting as per US GAAP
Account reconciliation – including Reconciling indirect tax activity to the general leger
Annual closing as per US GAAP
Create Journal Entries based on financial information, focused on withholding tax, VAT and other taxes
Maintain and apply knowledge of direct and indirect taxes and developments that affect the business/country
Assist with compiling data used to file all tax returns
Support internal and external tax audit process by preparing audit support packages and analysis on areas including fixed assets, sales and expenses
Prepare schedules to assist with month-end Accounting close process
Provide clear reporting of information and analyzes data within a business area to identify reporting improvements.
Maintain documentation in accordance with SOX requirements
Ensures compliance with GM Corporate policies and external regulatory requirements
Interacts with internal/external related parties (impacted Business Units, Global Controller’s Team, Global Finance Teams, etc.)
Has strong control focus – brings any issues (accounting or control related) forward immediately
Has a strong focus on process improvements to drive quality accounting and compliance
Frequent contact with others outside of work group to accomplish tasks
Participation in Special Projects (including LEAN/Six Sigma activities) - -eventual leader of such projects
Highly technical in the use of SAP system (t-codes, asset module flow, etc.)
Supports BCP, BIA activities and updates EUCA Files
Your Skills & Abilities (Required Qualifications)
BA in Finance/Supply Chain/Accounting/Business or equivalent with strong foundation and experience in a shared service environment
In-depth understanding and experience in various controllership processes for Profit and Loss and Balance Sheet areas
Understanding of Indirect tax – application in monthly accounting cycle and reporting
Understanding of US GAAP, IFRS, and SOX /Internal Control Requirements – additionally, continue to attend trainings on these topics to remain adequately informed and knowledgeable;
Working knowledge of SAP and other GM systems as required for the assigned position (systems and level of knowledge necessary will vary – employee must be willing to continuously learn the GM systems landscape and functionality)
What Will Give You A Competitive Edge (Preferred Qualifications)
Possesses Continuous Improvement mindset and able to translate it to meaningful projects
Solves and Analyzes Issues, Stretched Goals
Drive for Individual Results
Ability to work cross-functionally
Basic Communication Skills
Verbally communicates clearly and concisely a need, request, idea or thought to drive action of peers
With help, can tailor communication to address concerns or open conversations in a way that the external partner understands and protects the reputation and confidentiality needs of GM
Experience working in a multinational organization and working with colleagues internationally is preferred
Basic domain knowledge of Tax accounting and reporting
Works effectively with others and as part of a team
Competent/Above-Average English Fluency
Ability to understand, speak and write Portuguese or Spanish is a plus (requirement for bilingual analysts)
This role is categorized as hybrid. This means the successful candidate is expected to report to Austin, TX or Warren, MI three times per week.
We are seeking a highly experienced Staff Software Engineer to provide technical leadership for GM’s Mobile Backend for Frontend (MBFF) platform and associated back-office integration architecture. This role is responsible for shaping the technical direction of the platform, driving engineering excellence across microservices and cloud-native systems, and leading the adoption of scalable DevOps and AI-enabled operational practices.
This engineer will serve as a senior technical leader across the MBFF domain, influencing architecture, reliability strategy, platform standards, and cross-team execution. The role requires deep expertise in Java-based microservices, Azure cloud platforms, observability, CI/CD, and modern software delivery, along with the ability to guide teams through complex technical decisions that improve speed, quality, and operational resilience.
Lead the architecture, design, and evolution of the MBFF platform and core microservices that support GM mobile ownership experiences.
Define and drive technical strategy for scalable APIs, orchestration services, integration patterns, and platform capabilities across REST, GraphQL, WebSockets, and event-driven systems.
Establish engineering standards for service reliability, resiliency, observability, security, and operational readiness across the MBFF ecosystem, including clear SLOs, SLAs, and service health expectations.
Drive DevOps maturity by defining and improving CI/CD standards, release automation, progressive delivery, environment strategy, and production support practices across teams.
Champion AI-enabled engineering and operations by applying intelligent tooling for code generation support, anomaly detection, operational analysis, incident triage, capacity forecasting, and engineering productivity improvements.
Partner with product, architecture, security, SRE/operations, and dependent engineering organizations to align platform direction with business priorities and enterprise standards.
Guide complex design reviews, production readiness reviews, incident reviews, and modernization initiatives to improve reliability, delivery speed, and maintainability.
Mentor senior engineers and act as a force multiplier across the organization by raising technical quality, improving decision-making, and strengthening engineering execution.
Identify opportunities to reduce platform complexity, improve reuse, standardize patterns, and accelerate onboarding and delivery across MBFF services.
Ensure architecture, APIs, and platform workflows are well documented and supported by clear technical standards, playbooks, and governance.
Your Skills & Abilities (Required Qualifications)
Bachelor’s degree in Computer Science, Engineering, or related field, or equivalent practical experience.
8+ years of software engineering experience, including significant expertise in Java and Spring Boot microservices.
Demonstrated experience leading architecture and technical direction for distributed systems or platform-level backend services.
Deep experience designing and operating scalable microservices, APIs, and cloud-native applications in production environments.
Strong hands-on experience with Azure cloud services, Kubernetes-based deployments, and modern DevOps practices.
Proven ability to define and improve CI/CD pipelines, release practices, observability strategy, and operational excellence standards.
Strong understanding of software quality practices including TDD, automated testing, code review discipline, and engineering governance.
Strong database experience with SQL technologies such as Oracle or PostgreSQL.
Excellent communication, technical leadership, and cross-functional collaboration skills.
What Will Give You a Competitive Edge (Preferred Qualifications)
Experience leading platform modernization, reliability engineering, and operational maturity initiatives across multiple services or teams.
Expertise with Azure services such as AKS, API Management, Functions, Cosmos DB, SQL Database, Azure Monitor, and Application Insights.
Exposure to Google Cloud Platform (GCP) is a plus.
Strong experience with observability platforms such as Datadog, Grafana, Prometheus, Loki, OpenTelemetry, and distributed tracing solutions.
Experience applying AI-enabled practices in software engineering, platform operations, incident management, and developer productivity workflows.
Experience with GraphQL, WebSockets, service mesh, API gateway patterns, and event-driven architecture.
Strong understanding of security architecture including OAuth2, JWT, identity integration, secrets management, and secure service-to-service communication.
Familiarity with GM mobile platforms, enterprise back-office systems, or large-scale customer-facing backend ecosystems.
Experience driving technical mentoring, architectural alignment, and engineering standards across senior individual contributors and multiple delivery teams.
Strong strategic thinking, problem-solving, and execution leadership in Agile environments.
GM does not provide immigration-related sponsorship for this role. Do not apply for this role if you will need GM immigration sponsorship now or in the future. This includes direct company sponsorship, entry of GM as the immigration employer of record on a government form, and any work authorization requiring a written submission or other immigration support from the company (e.g., H1-B, OPT, STEM OPT, CPT, TN, J-1, etc.)
This role may be eligible for relocation benefits.
#LI-KB1
]]>Work Classification:
Hybrid: This role is categorized as hybrid. This means the successful candidate is expected to report to Milford, Michigan three times per week, at minimum.
The Role:
Here at General Motors, we are looking for a hard-working person who enjoys taking on challenges and following through with robust solutions to join our Controls and Software team! Software Design Engineers work closely with controls engineers, systems engineers, and stakeholders across the organization to design, implement, test, and refine embedded control software for our next-generation engine and transmission platforms. The selected candidates will collaborate within and across engineering teams to define, design, implement, and test software to be used in our latest engine and transmission products. These engineers will work side by side with controls design engineers to create and adapt new methods for our upcoming projects. These team members will be part of agile scrum teams comprised of both software and controls engineers. The software design engineers have the following specific responsibilities, and are also encouraged to learn and participate in as much of the controls development process as possible.
What You'll Do:
Lead development of embedded controls software utilizing Lean-Agile principles
Implement software for the controls and diagnostics of all new engine and transmission systems and features using innovative design thinking and leveraging state-of-the-art technology.
Partner with Controls Design Engineers (CDEs), Systems Engineers, and Architects to support the development of functional and software architecture, ensuring traceability and alignment with program requirements.
Collaborate with SSLEs to create scenarios and define Behavioral Technical Specifications (BTS) for features and subsystems.
Implement, test, and maintain production software using C, Simulink, and auto-generated code—ensuring adherence to GM software quality standards (SSQA).
Develop and maintain high-quality Software Design Documents (SDDs) and Software Implementation Records (SIRs).
Own and refine software unit, POD-level, and Solution-in-Isolation tests; maintain strong test coverage and traceability.
Support Behavior Driven Development (BDD) and Test-Driven Development (TDD) through high-quality acceptance criteria and test cases.
Drive software quality with a focus on robustness, maintainability, and MISRA compliance.
Participate in and help lead algorithm FMEA development to identify and mitigate software-related failure modes.
Contribute to feature breakdown into stories and tasks; ensure understanding of acceptance criteria and Definition of Done for assigned work.
Support or assist the Scrum team as required in implementing cohesive, efficient, testable and sustainably maintainable software components.
Collaborate closely with the Scrum Manager and Scrum Leader to deliver features on time, raising issues proactively when delivery risks are identified.
Mentor and coach engineers on best practices in embedded software development; support onboarding and rotation efforts.
Partner with calibration and validation teams to ensure software delivers required performance across all operating conditions.
Actively participate in design reviews, retrospectives, and demos; present solutions and improvements to peers and leadership.
Champion internal initiatives like refactoring, technical debt reduction, and innovative process improvements.
Document Intellectual Property.
Participate in scrum and ART ceremonies.
Your Skills & Abilities (Required Qualifications):
BS in Electrical Engineering, Mechanical Engineering, Computer Engineering, Computer Science or other applicable Engineering focuses.
5+ years Engineering experience with proven technical and professional skills in job-related area.
DFSS Black Belt Certified.
Strong proficiency in C programming and embedded development workflows.
Knowledge of Simulink, MATLAB, DOORS, GIT environment(s); plant modeling and/or analysis tools.
Familiarity with version control (e.g., Git), change management, and continuous integration.
Demonstrated knowledge of software quality processes and testing standards.
Understanding of unit testing, integration testing, and verification strategies for embedded systems.
Strong problem-solving skills, attention to detail, and commitment to technical excellence.
Effective communication and collaboration skills, with ability to present complex technical content clearly.
Demonstrated ability to lead technical efforts and mentor junior team members.
Ability to work in a fast-paced environment with sometimes incomplete/changing requirements.
Analytical problem-solving skills where problems are unusual and difficult.
Demonstrated honesty, integrity, and trust. Lead by example.
What Can Give You a Competitive Advantage (Preferred Qualifications):
MS in Engineering with focus on software or computer science.
8+ years Engineering experience in embedded controls software development with demonstrated Engine or Transmission Controls or Software Experience.
Knowledge of integration testing.
Knowledge of Behavior Driven Development and Test-Driven Development.
Experience with GM Embedded Controls Development Process.
Knowledge of SAFe/ Agile development, SCRUM ceremonies, and backlog management.
Hands-on experience with Behavior Driven Development (BDD) and Test-Driven Development (TDD).
Familiarity with automotive diagnostics, calibration tools (e.g., INCA/ETAS), and standards like OBD-II and ASIL.
Experience mentoring engineers.
Understanding of engineering theory and principles of operation of mechanical/electrical mechanisms.
Technical achievements in related areas (patents, trade secrets, SAE papers, etc).
Every day, our products move millions of people as we aim to make driving safer, smarter, and more connected, shaping the future of transportation on a global scale.
The Role
This Engineer will be responsible for developing engine performance simulation and valvetrain analysis models using 1D virtual tools. Functions include model building, correlating and evaluation. You'll be managing multiple projects and providing technical insight into problem solving, leveraging the model results for hardware and calibration development.
This position requires a fundamental understanding of combustion engines and the modeling approach via GT-SUITE 1D CFD Software. These engine models are the core estimation for performance and fuel efficiency for early vehicle architecture development. This role also leverages the large design of experiments and optimization using 1D modeling to solve complex and multivariable problems.
What You'll Do
Develop 1D engine simulation models in GT-POWER of a wide variety of engine architectures with complete intake and exhaust systems for both Gasoline & Diesel engines.
Simulate full and part load models focusing on torque, power and fuel consumption
Process lab and model generated engine operating data (fuel mapping) into standardized format
Execute transient engine simulations to support engine control algorithm evaluation and/or development (HIL/SIL), and vehicle performance assessment
Create Medium or Fast Running Models (MRM / FRM) to support controls development activities
Develop new and innovative analytical techniques to model engine technologies (boost devices, exhaust gas recirculation, variable valve lift, emission control systems, aftertreatment etc.) with emphasis on minimizing test data requirements
Develop optimized valve lift profiles using parametric valvetrain design software
Provide component-level and/or system-level design recommendations to Design Responsible Engineers based on interpretation of analysis results
Participate in product design and development teams and regularly present analysis results to engineering peers and management
Appropriately distill 3D math data into 1D model geometry using the correct discretization techniques
Cooperatively work with test engineers to develop and/or enhance laboratory procedures to validate system analysis results
Contribute to the development of post-processing and automation tools using MATLAB and/or Python
Generate virtual data for or directly create calibrations for embedded engine controller
Your Skills & Abilities (Required Qualifications)
Bachelor of Science in Engineering, Computer Science, or Physics
3 years of propulsion simulation and/or virtual engineering experience
5 years of engineering experience
Fundamental understanding of combustion engines and the modeling approach via GT-SUITE 1D CFD Software
Experience with engine dynamometer testing and data analysis
Excellent oral and written communication skills
High comfort with ambiguity, developing new capabilities, and creating new standard work
High level of interpersonal skills to work effectively with others
What Will Give You A Competitive Edge (Preferred Qualifications)
Master of Science in Engineering, Computer Science, or Physics
5+ years experience with GT-POWER, WAVE, or similar software
Engine calibration, controls and model-based calibration techniques.
Engine testing and development experience
High level of analytical ability where problems are unusual and difficult
Proficient with MATLAB, Python, AVL software.
Programming experience and/or a strong desire to learn
Thorough understanding and skills to work at high level in all phases of the vehicle development process
Vacancy Status:
This posting is not for an existing vacancy within the organization and is open to new applications.
AI Disclosure:
As part of the application process, Artificial Intelligence will be used in the hiring process for this role
Work Arrangement: This opening is hybrid, the successful candidate is expected to report to the office - Markham Elevation Centre (MEC) three times per week, at minimum.
The Role
As a Senior DevOps Developer in GM’s Virtualization and Software‑in‑the‑Loop (SIL) Integration group, you will build automation, pipelines, and cloud‑native systems that accelerate developer velocity and enable large‑scale virtual validation. We value the strengths you bring — your CI/CD background, embedded systems experience, and your ability to create automation that removes friction for developers. In this role, you’ll deepen your architectural skills while gaining hands‑on exposure to cloud orchestration, IaC, progressive delivery, and advanced simulation workflows.
What You’ll Do ( Responsibilities )
Design and maintain CI/CD pipelines for virtual ECUs, embedded software, and simulation artifacts.
Automate build, test, and packaging workflows across C++, Python, MATLAB/Simulink, and model‑based toolchains.
Operate containerized simulation environments using Docker and Kubernetes.
Implement GitOps workflows for multi‑cluster consistency and reliability.
Optimize developer velocity through caching, artifact reuse, and workflow simplification.
Integrate observability into pipelines for traceability, metrics, and debugging.
Collaborate with embedded, simulation, and controls teams to align delivery with model‑based development workflows.
Support cloud ‑ based SIL execution for large‑scale parallel simulation.
Your Skills & Abilities ( Qualifications )
Bachelor’s or Master’s degree in Engineering, Computer Science, or related field.
7+ years of relevant experience in DevOps, CI/CD, automation, or software development.
Hands ‑ on CI/CD experience with GitHub Actions, Jenkins, GitLab, or Azure DevOps.
Strong scripting skills (Python, Bash, PowerShell).
Experience with containers and Kubernetes fundamentals.
Familiarity with embedded or model ‑ based development (MATLAB/Simulink, code generation, vECUs).
Understanding of cloud platforms (AWS, Azure, or GCP).
Knowledge of deployment strategies and release automation.
What Will Give You a Competitive Edge ( Preferred Qualifications )
Experience with SIL/HIL pipelines and co‑simulation frameworks.
Terraform or IaC expertise for multi‑environment provisioning.
Knowledge of automotive data flows across vehicle, local, and cloud.
Experience with progressive delivery (canary, blue‑green).
Understanding of secure supply chain (SLSA, OPA, Sigstore).
Familiarity with virtualization platforms used for vECUs and simulation
Compensation:
The salary range for this role is $115,000 to $164,600. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.
GM DOES NOT PROVIDE IMMIGRATION-RELATED SPONSORSHIP FOR THIS ROLE. DO NOT APPLY FOR THIS ROLE IF YOU WILL NEED GM IMMIGRATION SPONSORSHIP NOW OR IN THE FUTURE.
Benefits Overview
The goal of the General Motors of Canada total rewards program is to support the health and well-being of you and your family. Our comprehensive compensation plan currently includes the following benefits, in addition to many others:
Paid time off including vacation days, holidays, and supplemental benefits for pregnancy, parental and adoption leave;
Healthcare, dental, and vision benefits;
Life insurance plans to cover you and your family;
Company and matching contributions to a Defined Contribution Pension plan to help you save for retirement;
GM Vehicle Purchase Plan for you and your family.
Leading the global CT through strategy development, reviewing global Packages before they are reviewed with the leadership team, Compliance reviews, maintaining sourcing pipeline, Business Over Time, strategy presentations, Training global Buyers, etc.
Develop and execute a robust procurement strategy based on detailed internal purchase requirements, market trends and technology.
Utilize the Global Purchasing Supply Chain sourcing process to manage sourcing packages (RFQ, quote analysis and award) and to establish a capable/competitive supply base
Analyze and apply appropriate tools, e.g., benchmarking, competitive sourcing, targeted sourcing, bundling, supplier negotiations etc. to drive best total enterprise cost
Negotiate commercial terms – including price, duration, terms, and conditions, etc.
Perform rate management activities including spot buys, rate analysis and supplier requests
Participate in supplier KPI reviews
Develop in-depth analysis on contract and overall business impact, budget activities
Collaborate with GM Legal staff to develop and negotiate terms and conditions
Drive decision alignment with cross-functional disciplines (Manufacturing, Supply Chain, Finance, Legal, Logistics Engineering/Planning/Operations)
Resolve commercial issues, drive continuous improvement, provide innovative ideas to streamline processes and develop savings opportunities.
Improve supplier relationships through collaboration, mutual waste elimination and relationship building tools such as the Strategic Supplier Engagement program (SSE)
Keep abreast of current industry developments and trends in areas of expertise
Adhere to corporate, purchasing and accounting policies and procedures
Lead on-going contract governance, compliance and supplier performance
Support and lead additional required projects as assigned my management
Execute deliverables in support of the logistics organization's business objectives.
Ensure business objectives are met or exceeded in all areas including customer, quality, service, responsiveness, people, product and financial initiatives.
Identify problems, update or modify work methods that may be complex in the work area without the benefit of defined procedures.
Promote GM's values and makes customer-focused decisions.
Remove Roadblocks & Resolving Issues/Complaints: Observe and step up to remove roadblocks and resolve potential issues.
Competencies Required:
5+ years relevant work experience in purchasing, supply chain, program/product management, logistics or product development (any internship or co-op experience will not be considered)
Ability to work independently and self-directed
Demonstrates strong personal initiative
Exceptional business acumen
Strong personal drive to learn, grow and develop
Ability to build positive relationships with demanding cross-functional stakeholders
Professional interpersonal verbal and written communication skills
High level of organizational skills to prioritize, handle multiple projects and stakeholders simultaneously, and meet deadlines
Strong analytical ability to solve complex problems
Experience managing commercial issues with suppliers and assessing supplier performance
Willing to travel 5-10% domestically + internationally
Preferred:
Bachelor's degree in Business, Supply Chain, Finance, related field
International logistics experience is preferred
Role Overview
GM Defense is a dynamic growth opportunity within General Motors. Our Integrated Product Support organization provides aftermarket support to defense customers, helping them maintain mission readiness and achieve long-term value from their vehicle and equipment investments.
The Demand Planner will develop forecasts and demand plans for service parts and assemblies, coordinate planning inputs across engineering and operations, and help connect customer needs with procurement, production, inventory, and logistics activities.
The successful candidate will use analytical skills, supply-chain knowledge, and cross-functional collaboration to support accurate planning, timely fulfillment, and a high-quality customer experience.
What You’ll Do
Your Skills & Abilities (Required Qualifications)
What Will Give You a Competitive Edge (Preferred Qualifications)
#GMD
]]>The Role
The Safety Assurance for Effective Autonomous Driving Software (SAFE-ADS) department is part of GM’s Global Product Safety, System, and Certification (GPSSC) organization. SAFE-ADS brings together technical and operational expertise to help ensure the safe development, testing, launch, and continuous improvement of automated driving systems (ADS).
GM is seeking an Autonomous Vehicle Safety Assurance Technical Program Manager to lead integrated execution across the SAFE-ADS operating plan.
This staff individual contributor will bring structure, momentum, and transparency to technically complex workstreams spanning safety risk management, operational safety, human factors, software validation, safety metrics, rules-of-the-road compliance, counterfactual simulation, and related system-safety interfaces.
The successful candidate will connect strategy to delivery by translating operating-plan objectives into actionable roadmaps, aligning cross-functional teams to milestones and measurable outcomes, managing technical dependencies and risks, and driving decisions to closure across engineering, validation, data, operations, legal, public policy, and product organizations.
This role is ideal for an experienced technical program leader who can operate at both the systems level and in execution details, communicate effectively with technical and executive audiences, and improve the processes and tools used to deliver safety-critical software and assurance programs.
What You’ll Do
Program Execution
Own the integrated execution model for SAFE-ADS operating-plan initiatives, including objectives, milestones, dependencies, resources, risks, decisions, and deliverables.
Translate product requirements, program milestones, and operating-plan commitments into clear workstream charters, roadmaps, delivery plans, and ownership models.
Coordinate planning-cycle updates and ensure changes to scope, priorities, dependencies, and capacity are reflected across relevant plans.
Establish governance, status reporting, action tracking, decision logs, escalation paths, and program reviews that keep execution visible and predictable.
Drive risk mitigation and recovery plans, escalating technical, schedule, resource, and dependency issues with decision-ready recommendations.
Partner with engineering, operations, quality, Legal, and GPSSC stakeholders on incident response, investigations, corrective actions, retrospectives, and continuous improvement.
Improve workflows, dashboards, automations, and data quality across Jira, Jira Align, Confluence, SharePoint, requirements tools, and related systems.
Safety Assurance
Manage dependencies among human-factors studies, operational data, safety requirements, validation criteria, readiness assessments, and program milestones.
Lead cross-functional execution for aggregate safety metrics and rules-of-the-road initiatives, including metric definitions, data quality, benchmarking, targets, validation, dashboards, and monitoring.
Coordinate interfaces with functional safety, SOTIF, ADAS and AV system safety, architecture, sensing and integration, software validation, simulation, data engineering, platform, and vehicle-integration teams.
Ensure requirements, assumptions, design changes, validation activities, and readiness decisions are visible across workstreams and linked to program outcomes.
Translate technical trade-offs and impact assessments into clear program decisions, actions, risks, and leadership communications.
Coordinate the supporting work needed to keep assurance deliverables, evidence plans, assessments, and readiness decisions aligned with program milestones.
Facilitate alignment among safety objectives, claims, sufficiency criteria, requirements, test plans, evidence owners, assessment activities, and documented decisions.
Maintain traceability across requirements, work items, tests, metrics, evidence, risks, changes, and approvals using appropriate systems and tools.
Your Skills & Abilities (Required Qualifications)
Bachelor’s degree in engineering, computer science, systems engineering, robotics, safety engineering, mathematics, or a related technical field.
7+ years of relevant experience leading complex technical programs in autonomous vehicles, ADAS, software-intensive systems, systems engineering, product safety, safety assurance, or another safety-critical domain.
At least 3 years of experience in technical program management, engineering program management, software delivery, systems engineering leadership, or an equivalent role with responsibility for execution across multiple technical teams.
Demonstrated experience leading cross-functional programs with multiple workstreams, stakeholders, dependencies, and enterprise-level visibility.
Strong program management capabilities, including integrated planning, roadmap and milestone management, dependency tracking, risk and issue management, governance, change control, resource planning, and executive communication.
Experience translating ambiguous technical objectives into structured execution plans, measurable outcomes, clear ownership, and decision-ready reporting.
Experience working with software development lifecycles, software validation, test and verification activities, release planning, CI/CD or equivalent engineering workflows, and production-readiness practices.
Working knowledge of requirements management, end-to-end traceability, configuration management, impact analysis, evidence management, and assessment processes.
Hands-on experience with Jira and familiarity with Jira Align, Confluence, SharePoint, Smartsheet, or comparable program-management and collaboration tools.
Experience using or administering requirements and traceability tools such as IBM DOORS Next Generation (DNG), Jama Connect, or equivalent systems.
Familiarity with metrics, dashboards, data-quality practices, and reporting workflows used to measure program health and technical readiness.
Ability to understand and connect technical work across software, AI/ML, systems engineering, validation, simulation, human factors, operations, and product safety.
Excellent written and verbal communication skills, with the ability to tailor information for technical, operational, and executive audiences.
Ability to influence without authority, build alignment across functions, work through ambiguity, and drive action to closure.
Passion for autonomous vehicle technology and safe deployment of advanced driving capabilities.
What Will Give You a Competitive Edge (Preferred Qualifications)
Project Management Professional (PMP), Program Management Professional (PgMP), PMI Agile Certified Practitioner (PMI-ACP), Scrum, or another recognized program/project management certification.
Experience with Jira Align portfolio planning.
Experience with IBM DOORS Next Generation, Jama Connect, requirements databases, test-management systems, or safety-case and evidence-management platforms.
Experience with autonomous vehicle or ADAS safety assurance, safety management systems, safety issue management, operational safety, human factors, or product launch readiness.
Familiarity with functional safety, SOTIF, AI/ML safety, rules-of-the-road compliance, safety performance metrics, or safety-critical software development.
Familiarity with Goal Structuring Notation (GSN) or another structured argumentation framework.
Experience with Agile at scale, program increments, release trains, phase-gate development, or hybrid delivery models.
Technical fluency with data analysis, SQL, Python, cloud-based data pipelines, CI/CD, or software test automation.
Experience working with independent assessors, standards bodies, regulators, industry consortia, or external technical partners.
Compensation: The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of the California Bay Area.
The salary range for this role is $160,200 to $290,700. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.
Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance
Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.
Company Vehicle: Upon successful completion of a motor vehicle report review, you will be eligible to participate in a company vehicle evaluation program, through which you will be assigned a General Motors vehicle to drive and evaluate. Note: program participants are required to purchase/lease a qualifying GM vehicle every four years unless one of a limited number of exceptions applies.
#LI-RF1
The Role
The Wentzville Manufacturing Engineering team is seeking an experienced Manufacturing Engineer to support a variety of manufacturing projects and programs. In this role, you will provide technical expertise to ensure the successful planning, execution, and continuous improvement of manufacturing processes and equipment.
You will be responsible for troubleshooting equipment and process issues, developing and implementing innovative manufacturing solutions, and establishing standards and operational plans that support business objectives. This position requires close collaboration with cross-functional teams to achieve production, quality, safety, and performance targets. The ideal candidate is a proactive problem solver who promotes GM's values, drives continuous improvement, and makes customer-focused decisions that enhance operational excellence.
What You'll Do
Demonstrate and champion safe work practices, ensuring safety remains the highest priority.
Operate in accordance with local and national labor agreements.
Support the implementation of divisional and corporate policies and initiatives.
Develop a strong understanding of and drive adherence to Global Manufacturing System (GMS) principles.
Perform root cause analysis and implement corrective actions to address equipment and process failures.
Provide technical leadership and expertise for complex manufacturing operations, equipment, and projects.
Foster and support a proactive safety culture throughout the organization.
Lead and support major manufacturing projects, including occasional weekend work as required.
Identify and implement continuous improvement opportunities to enhance safety, quality, cost, and productivity.
Review and evaluate proposals for current and future manufacturing processes, including capital funding requests (ARs, NPPs, and MBCs).
Develop long-term plans to improve manufacturing processes, equipment reliability, and operational performance.
Collaborate with plant personnel, corporate partners, suppliers, and other stakeholders outside the immediate work group.
Manage and oversee third-party contractors and vendors as needed to ensure successful project execution.
Support launch, installation, and commissioning activities for new equipment and manufacturing processes.
Utilize data analysis and problem-solving tools to drive operational improvements and reduce downtime.
Partner with production, maintenance, quality, and engineering teams to resolve issues and achieve business objectives.
Your Skills and Abilities (Required Qualifications)
Bachelor's degree in Engineering or equivalent combination of education and relevant manufacturing experience.
Minimum of 2 years of experience in a manufacturing environment.
Ability to read, interpret, and work from engineering drawings and blueprints.
Experience managing contractors through equipment installation, debugging, validation, and production release activities.
Working knowledge of manufacturing tools, equipment, materials, methods, and industry-standard practices.
Strong analytical and problem-solving skills with the ability to resolve complex and challenging issues.
Excellent interpersonal skills with the ability to collaborate effectively across multiple functions and levels of the organization.
Strong verbal and written communication skills.
Proven organizational and project management capabilities.
Ability to develop, analyze, interpret, and communicate performance metrics.
Proficiency with Microsoft Office applications, including Excel, Outlook, Word, PowerPoint, and Project.
Ability to support multiple projects and priorities in a fast-paced manufacturing environment.
What Will Give You a Competitive Edge (Preferred Qualifications)
Experience in an automotive manufacturing environment.
Experience with additive manufacturing and 3D printing technologies.
Working knowledge of AutoCAD, Siemens NX, or similar CAD/drafting software.
Knowledge of industrial robotics, automation systems, and conveyor systems.
Experience utilizing Throughput Improvement Process (TIP) and Practical Problem Solving (PPS) methodologies.
Experience improving equipment reliability, maintainability, availability, and manufacturing throughput.
Experience with Maximo or other computerized maintenance management systems (CMMS).
Experience with predictive maintenance technologies and condition-monitoring systems.
Knowledge of Lean Manufacturing, Continuous Improvement, and Global Manufacturing System (GMS) principles.
Experience supporting the launch, installation, and commissioning of new manufacturing equipment and processes.
Familiarity with root cause analysis methodologies such as 5 Why, Fishbone, or Red X.
Experience managing capital projects and manufacturing process improvements.
At General Motors, our product teams are redefining mobility. Through a human-centered design process, we create vehicles and experiences that are designed not just to be seen, but to be felt. We’re turning today’s impossible into tomorrow’s standard —from breakthrough hardware and battery systems to intuitive design, intelligent software, and next-generation safety and entertainment features.
Every day, our products move millions of people as we aim to make driving safer, smarter, and more connected, shaping the future of transportation on a global scale.
The Role
We are seeking a Cylinder Head Technician to join our Performance and Racing Center to primarily support various Race Engine Programs and the Chevrolet Performance Parts team. This opportunity is a good fit for a qualified individual interested in high-performance and prototype engines and who has a passion for racing!
What You’ll Do
Machine high-performance, prototype, and racing engine components to exact specifications.
Develop and modify cylinder-head ports and combustion chambers to meet performance and engineering requirements.
Perform preventative and routine maintenance of machines, including changing filters, keeping machines clean, and tracking service records.
Record and track data collected or analyzed.
Maintain good housekeeping and alignment with environmental requirements.
Additional Success Factors Include
Excellent attention to detail.
Strong knowledge of the tools, equipment, materials, methods, and standard practices of the trade.
Solid appreciation of the importance of completing tasks on time.
Outstanding interpersonal and relationship leadership skills to effectively collaborate with varying levels of the organization as needed.
Consistently demonstrates innovative thinking that is customer centric.
Must be adaptable to a changing work environment and competing demands.
Available to work alternative shift schedules, including weekends.
Your Skills & Abilities (Required Qualifications)
2+ years of experience with high-performance, racing, and prototype machining operations.
Able to program and run CNC Newen single-point equipment.
Able to set up Serdi cutters for valve jobs and cut seats out of cylinder heads.
Able to set up and run a flow bench for flowing various cylinder heads, intake systems, exhaust manifolds, and restrictors.
Experience honing valve guides and setting up measuring tools.
Experience porting heads and performing development work on new raw castings.
Knowledge of how to install seats and guides and determine the required press fit.
Experience grinding valves, fully inspecting cylinder heads, working with CNC equipment on porting and chambers, and checking valve springs.
Able to read and work from blueprints.
Strong mechanical abilities and proficiency with typical measuring devices such as micrometers, calipers, bore gauges, torque wrenches, and other tools commonly used in engine-build and machine shops.
Experience with engine-related machining operations, multi-angle valve-seat machining, and valve grinding.
Able to perform physical duties involving standing, sitting, and lifting up to 50 pounds, using the upper body, arms, and hands to pull on wrenches used in the machining process.
What Will Give You A Competitive Edge (Preferred Qualifications)
5+ years of experience with high-performance, racing, and prototype machining operations.
3+ years of experience porting heads and performing development work on new raw castings.
This role is classified as hybrid. The selected candidate is expected to work onsite three days per week at our Warren, MI location.
The Role
GM's Diagnostic Software and Wired Programming Integration team is seeking a highly motivated, detail-oriented Senior Software Test Engineer who is passionate about software quality, vehicle communications, and diagnostic programming robustness. This role is focused on validating and improving the software, tools, and workflows that enable efficient and accurate vehicle diagnostics and programming across the GM dealership and engineering ecosystem.
The ideal candidate combines strong software validation fundamentals with hands-on experience in automotive diagnostics, vehicle communication protocols, programming workflows, and root-cause investigation of complex system interactions. Success in this role requires excellent analytical and problem-solving skills, strong cross-functional collaboration, and the ability to translate intermittent failures into reproducible evidence, actionable recommendations, and long-term quality improvements.
As a Senior Software Test Engineer on the Diagnostic Software and Wired Programming Integration team, you will help protect Service First Time Quality by validating Development Programming System (DPS), Service Programming System (SPS/SPS2) related workflows, Vehicle Wide Programming (VWP) scenarios, and vehicle communication behaviors across bench and vehicle environments. You will also help define and expand automation strategies that improve release readiness and reduce escapes in diagnostic and programming flows.
What You'll Do
Required Qualifications (Skills & Abilities)
Preferred Qualifications (Competitive Edge)
Additional Information
GM does not provide immigration-related sponsorship for this role. Do not apply for this role if you will need GM immigration sponsorship now or in the future. This includes direct company sponsorship, entry of GM as the immigration employer of record on a government form, and any work authorization requiring a written submission or other immigration support from the company (e.g., H1-B, OPT, STEM OPT, CPT, TN, J-1, etc.)
This job is not eligible for relocation benefits. Any relocation costs would be the responsibility of the selected candidate.
]]>This job may be eligible for relocation benefits.
GM DOES NOT PROVIDE IMMIGRATION-RELATED SPONSORSHIP FOR THIS ROLE. DO NOT APPLY FOR THIS ROLE IF YOU WILL NEED GM IMMIGRATION SPONSORSHIP (e.g., H-1B, TN, STEM OPT, etc.) NOW OR IN THE FUTURE.
]]> Responsible for the execution/develop of manufacturing controls. Work will be performed in a centralized manufacturing engineering activity or assembly/plant activity where a considerable amount of creativity and initiative is exercised as well as a high level of independent judgment.
Responsibilities include:
• New program implementation/execution (SOR prep, forecasting, controls/robotics design, equipment build/run-off and buyoff)
• Design, construction, integration, plant installation, successful launch and continuous improvement
• Maintaining awareness of controls technologies (PLC, HMI, networks, robot, vision)
of equipment and tools required in plants for the production of high quality parts
• Managing deliveries to program timing milestones
• Providing project report outs to senior management
• Existing program/site support (troubleshooting, etc.)
• Providing technical direction to less experienced controls engineers.
• Designing and troubleshooting of electrical controls systems
• Work may involve development and testing of advanced process technology
• Planning and coordinating maintenance activities, as well as providing support throughout their effective execution.
• Ensuring sustained daily productivity of the shop.
Work Appropriately
On Site: This position requires working on site on a full-time basis.
This position requires to change shifts (4x3).
Required Qualifications:
Bachelor´s Degree in Mechanical, Electrical, Robotics, Electromechanical, Mechatronics Engineering, or a related field.
Knowledge of hydraulics, pneumatics, and the interpretation of mechanical, electrical, and control drawings; PLCs; FANUC robots; vision systems; and preventive and predictive maintenance.
More than 2 years of experience in maintenance.
Intermediate English.
In case you need any reasonable adjustment to continue with your process, let your recruiter know.
Remember to attach your CV when applying to this vacancy.
Non-Discrimination and Equal Employment Opportunities. General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We respect and value what each individual contribution to our team, including their origin, education, sex, race, ethnic group, sexual orientation, gender expression and / or identity, religious context, age, generation, and disability. We believe that our ability to meet the needs and expectations of an increasingly diverse and global customer base is closely linked to the diversity and inclusion that we experience within General Motors
]]>• Work Arrangement
This role is categorized as onsite.
• The Role
Responsibilities include initiating Fabrication Requests, forecasting and balancing workload, and providing technical direction to a team supporting the execution and build of Concept Vehicles and Design GVDP property deliverables, by project tracking, forecasting, and following properties through the various fabrication shops.
• What You’ll Do
• Your Skills & Abilities (Required Qualifications)
New Phd Graduate, 1-3 years experience, individual contributor
· Technical Expertise:
· Professional Skills:
· Additional Information: This position may be eligible for relocation benefits.
]]>Formación Académica Graduación en Administración, Marketing, Comunicación, Economía o áreas afines. Posgrado o MBA será considerado diferencial.
Requisito Técnico Principal
Experiencia comprobada en e-commerce y/o marketing digital, con vivencia en gestión de canales digitales, plataformas de ventas online y relacionamiento con redes de distribución (concesionarios, revendedores o socios comerciales).
Otros Requisitos:
Obligatorio
Deseable
Competencias Clave
Actividades:
This role is categorized as hybrid. The selected candidate will be expected to work on-site at the Warren Tech Center at least three days per week, or as otherwise determined by the hiring leader.
This role is not eligible for relocation assistance.
At General Motors, our product teams are redefining mobility. Through a human-centered design process, we create vehicles and experiences that are designed not just to be seen, but to be felt. We’re turning today’s impossible into tomorrow’s standard —from breakthrough hardware and battery systems to intuitive design, intelligent software, and next-generation safety and entertainment features.
Every day, our products move millions of people as we aim to make driving safer, smarter, and more connected, shaping the future of transportation on a global scale..
About the Role:
This person will manage a large group of Engineering Designers and DLTs with similar functional responsibilities for Design deliverables in support of projects and programs within the Exteriors Engineering Design Team.
They will be responsible for staffing, communicating, training and development, directing and prioritization of work, evaluating performance and removing roadblocks. They will also provide technical leadership and guide the team to successful execution of vehicle programs with strong technical solutions. They will help develop processes, standards, or operational plans in support of the organization's business strategies with a direct impact on business and/or function overall results and influence others within the organization to accept new concepts, practices, and approaches. They will promote GM's values and make customer-focused decisions, proactively lead, guide, and direct a group of technical employees responsible for Design deliverables in support of the organization's business objectives as well as manage math development process.
What You'll Do (Responsibilities)
Your Skills & Abilities (Required Qualifications):
What Can Give You a Competitive Edge (Preferred Qualifications):
GM DOES NOT PROVIDE IMMIGRATION-RELATED SPONSORSHIP FOR THIS ROLE. DO NOT APPLY FOR THIS ROLE IF YOU WILL NEED GM IMMIGRATION SPONSORSHIP NOW OR IN THE FUTURE. THIS INCLUDES DIRECT COMPANY SPONSORSHIP, ENTRY OF GM AS THE IMMIGRATION EMPLOYER OF RECORD ON A GOVERNMENT FORM, AND ANY WORK AUTHORIZATION REQUIRING A WRITTEN SUBMISSION OR OTHER IMMIGRATION SUPPORT FROM THE COMPANY (e.g., H-1B, OPT, STEM OPT, CPT, TN, J-1, etc.)
#LI-JN1
]]>We are seeking a highly motivated Electric Drive & Transmission Systems Development Engineer to plan, develop, and execute subsystem-level testing within a world-class engineering development and validation environment. This role is responsible for supporting electric drive and transmission system development through test execution, data analysis, calibration development, and identification of opportunities to improve testing efficiency through automation and data reduction. The successful candidate will also contribute to the transition from traditional lab-based testing to virtual, model-based development approaches. This position requires strong technical acumen, creativity, initiative, and independent judgment, as well as the ability to collaborate effectively across cross-functional teams to deliver high-quality engineering solutions.
Key Responsibilities
Required Skills and Experience
Preferred Skills and Experience
Education and Training
Every day, our products move millions of people as we work to make driving safer, smarter, and more connected, shaping the future of transportation on a global scale.
ARC is seeking a Power Electronics Integration Engineer to support the design, integration, and validation of power distribution and power electronics hardware for our autonomous mobile robot (AMR) platforms.
In this role, you will work closely with the Autonomy Stack Program Engineering Manager and Hardware Program Engineering Manager to develop and integrate PCB-based power hardware from schematic capture through validation. Your work will span battery interfaces, DC-DC conversion, motor-drive power stages, charging systems, and the broader power architecture that enables reliable AMR operation.
Support the design, integration, and validation of power distribution and power electronics hardware, including AC-DC and DC-DC power conversion and battery interfaces.
Contribute to PCB-based hardware development from schematic capture through layout collaboration, fabrication, bring-up, and validation.
Perform power-budget and load analyses and support the development of component derating strategies.
Troubleshoot power-delivery, thermal-management, electrical-robustness, and system-integration issues during development and testing.
Partner with the Wiring Engineer and program engineering leaders to integrate power hardware into AMR platforms.
Support component selection for power electronics and distribution hardware, including regulators, switches, protection devices, and related components.
Maintain clear, accurate technical documentation for power architectures, PCB designs, test plans, and validation results.
Bachelor’s degree in Electrical Engineering or a related discipline, or equivalent practical experience.
At least two years of experience in power electronics or PCB-based electrical hardware design.
Working knowledge of power-conversion topologies and PCB design best practices.
Familiarity with industry-standard ECAD tools, such as Altium Designer, OrCAD, or equivalent.
Strong analytical and problem-solving skills, with the ability to diagnose power, thermal, electrical, and integration challenges.
Effective communication and collaboration skills for working across hardware, wiring, software, and systems engineering teams.
Experience designing power hardware for robotics, industrial automation, autonomous systems, or battery-powered products.
Experience with high-current, high-power, or battery-powered system design.
Familiarity with functional-safety and regulatory standards, such as UL, CE, and ISO 13849.
Experience using simulation tools to evaluate power, thermal, or circuit behavior, such as SPICE or MATLAB/Simulink.
About the team
Our team builds the digital commerce experiences that support how customers discover, buy, subscribe to, and manage GM products and services. We work across qualification, catalog, cart, checkout, billing, payments, subscriptions, orders, and customer account journeys, partnering closely with product, design, architecture, and operations teams to deliver reliable, scalable experiences. We are looking for engineers who pair strong software fundamentals with practical AI-assisted development habits to move faster, raise quality, and help the broader team work better.
The Role
We are hiring a Sr Software Engineer with demonstrated ability to use AI as a force multiplier for software development in digital commerce environments. This role is ideal for a hands-on engineer who can use AI-assisted workflows to improve delivery speed and quality, build reliable low-latency services, and strengthen team productivity through better engineering practices.
Your Skills & Abilities (Required Qualifications)
What Will Give You A Competitive Edge (Preferred Qualifications)
Additional Information:
This job may be eligible for relocation benefits.
COMPENSATION : The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of the California Bay Area.
#LI-KB1
]]>Sponsorship:
GM DOES NOT PROVIDE IMMIGRATION-RELATED SPONSORSHIP FOR THIS ROLE. DO NOT APPLY FOR THIS ROLE IF YOU WILL NEED GM IMMIGRATION SPONSORSHIP (e.g., H-1B, TN, STEM OPT, etc.) NOW OR IN THE FUTURE.
Onsite: This role is categorized as onsite. This means the successful candidate is expected to report to Saginaw, MI on a full-time basis.
Relocation:
This job may be eligible for relocation benefits.
The Role:
The Controls Systems Engineer is an individual contributor that is creative, highly motivated, agile thinker with a passion for automation. The ideal candidate has a background in electrical or computer engineering with strong programming skills and can perform at a high level in a fast paced, high volume manufacturing facility. This person shall be comfortable supporting manufacturing processes on the production floor. As a Controls Engineer you will be addressing production issues alongside quality, manufacturing, and maintenance teams. Additionally, you will be expected to maintain and improve existing production processes by using continuous improvement and problem solving techniques.
What You'll Do (Responsibilities):
Configure, program, test and troubleshoot PLC based control systems and associated components.
Electrical troubleshooting and testing of controls systems, control panels, and associated equipment
Diagnose and correct deficiencies in manufacturing processes and equipment.
Develop innovative solutions.
Design and deploy intuitive user interface displays.
Propose and evaluate manufacturing processes and equipment.
Support and actively interact with manufacturing and quality groups.
Continuously improve quality, cost, responsiveness, safety.
Design, construction, integration, plant installation, successful launch and continuous improvement of the electrical and control aspects of equipment and tools required for vehicle manufacturing.
Ability to learn new skills, and coach / mentor others on control related issues, using a hands-on approach.
Communicate effectively and work collaboratively with all stakeholders.
Your Skills and Abilities (Required Qualifications):
Strong work ethic (self-starter, responsible, follow through on assignments)
Demonstrated initiative by reaching beyond work assigned to improve output and/or help others.
Strong technical knowledge of electrical/control systems and the ability to apply these concepts within a manufacturing environment.
Experience in PLC and HMI programming, Ethernet and/or DeviceNet networks.
Knowledge of servo motors, motion control and drives.
Experience with Fanuc robot setup and programming.
Demonstrated understanding of mechanical concepts involving machine designs, process requirements involved in the manufacturing process.
Ability to use computer, interpret blueprints, engineering drawings and learn new systems.
What Can Give You a Competitive Edge (Preferred Qualifications):
Bachelor of Science in Electrical or Computer Engineering, or related field, or equivalent experience
The Role
GM Defense is seeking a Provisioning and Obsolescence Lead to manage the development, quality, and delivery of logistics and sustainment information for defense vehicle programs. This role connects engineering, supply chain, program management, technical documentation, information technology, contracts, suppliers, and customers to ensure that the parts, support equipment, technical data, and risk information needed to sustain vehicles are complete, accurate, and delivered on schedule.
This is a people leader role. The successful candidate will bring strong project management, technical data, supply chain, and cross-functional leadership skills. They will be comfortable working with customers and external partners, resolving incomplete or conflicting information, improving business processes, and leading a small team in a matrixed environment.
What You’ll Do
Own the planning, development, review, and delivery of provisioning and logistics product data, including parts lists, structured logistics analysis data, and related support documentation.
Coordinate with engineering, program, supply chain, technical publications, and other functional teams to collect missing information and resolve data gaps before customer reviews and provisioning events.
Lead preparation for and participation in customer provisioning conferences, reviews, and other milestone events; track decisions, actions, risks, and follow-up commitments through closure.
Establish quality-control practices to verify that customer-facing documentation is accurate, complete, internally consistent, and ready for submission.
Manage changes that affect bills of material, parts data, configuration information, and downstream sustainment deliverables.
Develop and execute an end-to-end provisioning strategy that improves timeliness, quality, repeatability, and internal capability while reducing unnecessary reliance on third-party providers.
Partner with Information Technology and process owners to improve the systems, data flows, and tools used to create and maintain provisioning information.
Lead transitions and integrations involving configuration data, single-source bills of material, logistics analysis applications, enterprise systems, and collaboration platforms, as applicable to the business need.
Own relationships and deliverables with third-party technical data, systems integration, and provisioning providers; define expectations, review performance, and ensure contracted work is completed.
Serve as a subject matter expert for provisioning and sustainment data. Investigate unresolved questions, identify the appropriate source of truth, and drive issues to resolution.
Lead lifecycle risk management for diminishing manufacturing sources, material shortages, and obsolescence across integrated vehicle and sustainment programs. Identify and assess risks involving materials, components, software, and technology; develop mitigation plans; and coordinate timely internal and customer reporting.
Lead, coach, and develop direct reports while building a collaborative, accountable, and customer-focused team.
Support proposal, capture, and new-program activities by applying provisioning and obsolescence expertise to estimates, schedules, execution plans, and customer requirements.
Your Skills & Abilities (Required Qualifications)
Bachelor’s degree or equivalent experience considered in lieu of a degree
5+ years of relevant experience
Advanced experience in provisioning, integrated logistics/product support, sustainment engineering, technical data, supply chain, or defense program execution or closely related field.
Candidate must be a U.S. Person (U.S. citizen, U.S. permanent resident, asylee or refugee).
U.S. citizenship required to comply with federal government contract provision expressly restricting role to U.S. citizens.
Experience leading complex projects and coordinating cross-functional teams through defined deliverables and milestone dates.
Experience developing, reviewing, and delivering technical or logistics data to customers or government organizations.
Strong analytical, organizational, problem-solving, and decision-making skills.
Excellent written and verbal communication skills, with the ability to explain technical information to diverse audiences.
Ability to manage multiple priorities, investigate incomplete information, and drive actions to closure with limited direction.
Proficiency with Microsoft Office or comparable productivity and collaboration tools.
Ability to work effectively in a hybrid, matrixed, and customer-facing environment.
Ability to travel domestically and internationally as business requirements dictate.
Ability to meet applicable U.S. export-control requirements for the role.
What Will Give You a Competitive Edge (Preferred Qualifications)
Bachelor’s degree in engineering, supply chain management, logistics, business, technical communications, or a related field
Experience with Department of Defense or other government vehicle, equipment, or sustainment programs.
Experience with provisioning, logistics product data, structured logistics analysis, parts cataloging, or related defense logistics standards and practices.
Experience managing supply continuity, product obsolescence, end-of-life planning, or technology risk.
Experience with customer provisioning conferences, government contract deliverables, or formal technical data submissions.
Experience with enterprise resource planning, bill-of-material, configuration-management, logistics-analysis, or technical-publication systems.
Experience managing third-party technical service providers or subcontractors.
Experience leading or developing employees and establishing performance metrics.
Familiarity with international programs, export compliance, or cross-border sustainment requirements.
Defense Acquisition University training or equivalent professional development in logistics, provisioning, parts management, or obsolescence management.
U.S. citizenship required pursuant to government contract.
#GMD
]]>General Motors is transforming the future of mobility while operating one of the world’s most complex manufacturing environments. The Manufacturing Cybersecurity team helps protect the technology, systems, and data that keep GM plants safe, resilient, and productive.
As a Manufacturing Cybersecurity Engineer, you’ll build and operate the data foundation that enables OT cyber-risk visibility across GM manufacturing. You’ll develop reliable data-ingestion and ETL solutions that consolidate vulnerability, asset, configuration, and security telemetry from plant systems, cybersecurity tools, enterprise platforms, and other sources into the Databricks Lakehouse Platform. Using Python, SQL, scripting, and data-quality practices, you’ll transform, validate, monitor, and troubleshoot pipelines, then translate complex technical data into actionable insights through Power BI or similar dashboards and reports.
This is a hands-on Level 6 individual contributor role. You’ll exercise independent judgment to resolve non-routine data and cybersecurity problems, propose process improvements, and coordinate delivery across cybersecurity, manufacturing, plant, data engineering, and technology stakeholders. Your work will help plant teams prioritize remediation, reduce OT exposure, and make informed decisions without disrupting production.
What You'll Do
Design, develop, operate, and maintain dependable data ingestion and ETL pipelines that consolidate OT vulnerability, asset, configuration, and cyber-risk data from multiple sources.
Develop Python, SQL, and scripting solutions for data extraction, transformation, validation, enrichment, automation, and analysis.
Establish data-quality checks, reconciliation routines, monitoring, alerting, and troubleshooting procedures that improve data completeness, accuracy, timeliness, and reliability.
Identify, assess, track, and report OT cybersecurity risks and vulnerabilities across plant systems and networks, supporting risk-based prioritization and remediation planning.
Develop and maintain Power BI or similar dashboards, reports, metrics, and visualizations that communicate exposure, trends, control coverage, remediation progress, and operational performance.
Translate complex technical and security data into clear insights and recommendations for plant teams, cybersecurity stakeholders, manufacturing leadership, and technology partners.
Partner with cybersecurity, manufacturing engineering, plant operations, data engineering, and technology teams to define requirements, resolve data issues, and deliver cross-functional solutions.
Document data sources, data models, pipeline logic, controls, lineage, operating procedures, and troubleshooting guidance in a clear and maintainable format.
Automate repeatable data preparation, analysis, and reporting processes while applying appropriate security, privacy, access-control, and data-governance practices.
Propose and deliver process improvements that increase visibility, reduce manual effort, improve reporting consistency, and strengthen OT vulnerability management.
Communicate status, risks, dependencies, findings, and recommendations clearly; follow issues through resolution and escalate potential impacts early.
Your Skills & Abilities (Required Qualifications)
Bachelor’s degree in Computer Science, Cybersecurity, Information Technology, Data Engineering, Engineering, or a related field, or equivalent relevant experience.
3+ years of professional experience in cybersecurity, data engineering, analytics, software engineering, manufacturing technology, or a related field.
Hands-on experience developing and supporting production data pipelines using Python, SQL, scripting, ETL, or data-ingestion technologies.
Experience integrating and validating data from multiple enterprise, plant, cybersecurity, or operational technology sources, with the ability to diagnose data-quality and pipeline issues.
Experience with OT or industrial control system cybersecurity, vulnerability management, asset inventory, security telemetry, or cyber-risk reporting.
Ability to work independently, exercise sound judgment, and resolve non-routine data and cybersecurity problems in a complex environment.
Ability to communicate technical findings clearly and collaborate effectively with cybersecurity, manufacturing, plant, data engineering, and technology stakeholders.
What Can Give You A Competitive Advantage (Preferred Qualifications)
Experience with Databricks, Delta Lake, Spark, cloud data platforms, Lakehouse architecture, or similar technologies.
Experience developing Power BI or similar dashboards, reports, metrics, and visualizations for technical, operational, or executive audiences.
Experience working in a manufacturing, plant, industrial automation, or other operational technology environment.
Familiarity with PLCs, HMIs, SCADA, industrial networks, or comparable systems.
Knowledge of data-governance practices, including data ownership, metadata, lineage, access controls, retention, quality standards, and documentation.
Familiarity with cybersecurity risk-management principles and frameworks such as the NIST Cybersecurity Framework, NIST SP 800-53, or ISO/IEC 27001/27002.
#LI-SB3
]]>As a Pipefitter, you will work under minimal supervision with a high level of independent judgement and problem solving. You should be flexible enough to take on and tackle multiple job assignments in a shift.
Preferred Experience Includes:
Experience with planned maintenance systems and predictive technologies
Experience with industrial robotics, automation, and conveyance systems
Primary Responsibilities:
Follow established safety procedures according to OSHA standards and company procedures
Maintain, dismantle, repair, and replace mechanical and hydraulic components (e. g. bearings, seals, details, carriers, etc.) on industrial machinery such as shafting, motors, generators, air compressors, engines, pumps, cylinders, gears, couplings, linkages, ball screws, high speed CNC spindles, coolant systems and filters, and combustion equipment and valves
Layout, assemble, fabricate, maintain, and repair piping systems
Use various hand or power tools for measuring, cutting, threading, grooving, bending, soldering, assembling, joining, and installing pipes, valves, and fittings
Read and interpret blueprints for the mechanical operation and assembly of conveyor systems, material handling systems, robots, and other automation
Operate mobile equipment (e.g. forklifts, vertical lifts, cranes)
Determine loading requirements to rig equipment and material for lifting
Set up and operate conventional or computer numerically controlled (CNC) machine tools such as lathes, milling machines, and grinders to cut, bore, grind, or otherwise shape parts to prescribed dimensions and finishes
Fabricate punches, tools, steel rule tools and t-sets to exact specifications
Plan sequences of operations for fabricating tools or assemblies using blueprints, sketches, or models
Determine quality of finished products, ensuring defect-free parts, by verifying dimensions, alignment, and clearances for conformance to specifications using measuring instruments such as calipers, gauge blocks, micrometers, and dial indicators
Interested individuals must meet the following minimum qualifications:
This position may be filled with a Journeyperson or Journeyperson In Training, the compensation ranges for a JIT include ($37.42-$43.66) or Journeyperson rate of $44.55. Certificates/credentials and scoring in interview will determine your status and pay.
General Motors UAW hourly employment offers a very competitive compensation and benefit package. An annual incentive payout is also available, as qualified.
Relocation and travel expenses will be the responsibility of the applicant.
Please note – per the labor agreement between GM and the UAW, GM may share information and documentation relating to the credentials of applicants for this position (e.g., resumes, journeyperson cards, interview notes, certificates, etc.) with UAW personnel who have a need to know as part of their role on the UAW skilled trades team.
Responsibilities
Required Qualifications
Preferred Qualifications
This is an onsite manufacturing engineering role requiring regular presence in the paint department and on the plant floor. The role requires shift rotation, weekend, shutdown, or extended-hours support during launches, critical equipment work, troubleshooting, and planned maintenance activities. Travel to supplier or other GM locations may be required based on business needs.
What You’ll Do
These responsibilities align with GM paint engineering examples covering product launches, process improvements, defect troubleshooting, equipment uptime, facility planning, and cross-functional project execution.
Develop, implement, and maintain paint shop processes, equipment, layouts, and standardized work.
Support new product launches, process changes, equipment installation, commissioning, and production ramp-up.
Monitor paint process performance and lead improvements in first-time quality, throughput, equipment uptime, material usage, and scrap.
Troubleshoot paint defects, process variation, equipment issues, and production interruptions.
Analyze process data and use structured problem-solving methods to identify root causes and implement corrective actions.
Develop and maintain process control plans, failure-mode analyses, reaction plans, engineering documentation, and change records.
Partner with production, maintenance, quality, environmental, safety, and supplier teams to resolve problems and sustain improvements.
Coordinate vendors and contractors during equipment design, installation, testing, and acceptance.
Train and support plant personnel on process requirements, standardized work, and process changes.
Promote safe work practices, ergonomic improvements, waste reduction, and compliance with applicable environmental requirements.
Communicate project status, risks, decisions, and results to plant and engineering leadership.
Your Skills & Abilities
Experience in manufacturing, process engineering, or related field, preferably in an automotive paint shop.
Demonstrated analytical, troubleshooting, project-management, and problem-solving skills.
Ability to interpret engineering drawings, process documentation, and equipment specifications.
Strong written and verbal communication skills.
Ability to manage multiple priorities and work independently in a production environment.
Commitment to safe work practices and continuous improvement.
What Will Give You a Competitive Edge
Bachelor’s degree in electrical, mechanical, chemical, manufacturing, industrial, paint, or a related engineering discipline.
Knowledge of automotive paint processes, materials, equipment, and quality requirements.
Experience with automotive paint shop launches, process controls, or equipment commissioning.
Knowledge of electrocoat, pretreatment, sealer, primer, basecoat, clearcoat, or paint application systems.
Experience with process control plans, failure-mode analyses, structured problem solving, lean manufacturing, or Six Sigma.
Familiarity with paint quality measurement, robotics, automation, or manufacturing data systems.
Experience coordinating suppliers, contractors, or capital projects.
Manage production and skilled trades employees
Ability to manage UAW employees
The Role
You will be part of a core team that enables safe, reliable, and scalable releases of the Autonomous Vehicle (AV) software stack through intelligent automation, AI-enabled engineering workflows, and data-driven validation. The mission is to accelerate AV software development and release velocity by reducing manual effort, improving test and release visibility, and applying AI to engineering processes.
In this position, you will collaborate closely with Release Engineers, Systems Engineers, DevOps, QA, and AI/ML teams to design and implement automated release validation pipelines, integrate simulation and hardware-in-loop testing, build engineering metrics, and develop AI-enabled solutions for test analysis, failure classification, defect triage, reporting, and workflow orchestration.
You will help establish practical standards for evaluating, governing, and scaling automation and AI solutions while improving release readiness, software quality, and engineering productivity. If you are passionate about applying intelligent automation and systems thinking to accelerate the development of safe, high-quality ML-driven AV software, we want to talk to you.
What You’ll Be Doing
Lead the design and implementation of automation across software development, testing, release, and operational workflows.
Identify opportunities to apply AI, machine learning, and LLM-based tools to improve engineering productivity and decision-making.
Build AI-enabled solutions for test analysis, failure classification, defect triage, documentation, reporting, and workflow orchestration.
Develop and maintain scalable CI/CD integrations supporting simulation, hardware-in-loop, regression, and release validation activities.
Build data pipelines that combine engineering, QA, simulation, test, and release information into actionable insights.
Establish practical methods for evaluating the accuracy, usefulness, traceability, and adoption of AI-enabled engineering tools.
Automate repetitive manual processes and measure improvements in cycle time, test efficiency, defect prevention, and engineering throughput.
Improve visibility into test health, regression trends, flaky tests, failure patterns, and release readiness.
Collaborate with engineering, QA, operations, data, and program teams to understand pain points and deliver effective automation solutions.
Integrate tools such as Jira, GitHub, dashboards, observability platforms, and cloud services into unified engineering workflows.
Help define standards and governance for maintainable, secure, observable, and scalable automation and AI solutions.
Communicate technical findings, process improvements, and measurable business impact to engineering and leadership stakeholders.
What You Must Have
Strong proficiency in Python and SQL .
Proven experience in CI/CD systems (e.g., GitHub Actions, Jenkins, GitLab, or equivalent).
Hands-on experience developing ELT/ETL pipelines and integrating data from engineering, QA, simulation, and operational systems.
Experience applying AI, machine learning, or LLM-based solutions to improve engineering productivity, test analysis, defect triage, documentation, or decision-making.
Ability to evaluate AI-generated outputs for accuracy, consistency, traceability, and usefulness in engineering workflows.
Strong analytical, debugging, and problem-solving skills across large-scale software systems.
Experience integrating simulation or hardware-in-loop testing into automated pipelines.
Track record of cross-functional collaboration across engineering, QA, and operations teams.
Ability to learn quickly and operate effectively in a dynamic, high-stakes environment.
Excellent communication skills for presenting data-driven insights to engineering and leadership stakeholders.
Bachelor’s, Master’s, or PhD in Computer Science, Electrical Engineering, Robotics, or a related field—or equivalent experience.
Bonus Points!
Experience developing AI agents, copilots, retrieval-augmented generation systems, workflow automation, or intelligent engineering tools.
Experience establishing governance, evaluation, monitoring, and security practices for AI-enabled engineering solutions.
Knowledge of AV/ADAS software architectures, simulation validation loops, or automated vehicle testing.
Experience with release governance, quality gates, or compliance processes for ML, AV, or safety-critical systems.
Familiarity with reliability engineering concepts such as MTBF, FMEA, reliability growth analysis, and failure trend analysis.
Experience building automation and metrics pipelines in AWS, GCP, Azure, or equivalent cloud environments.
Familiarity with data visualization and observability tools such as Grafana, Superset, Power BI, or equivalent.
Experience integrating Jira, GitHub Projects, or similar tools into automated release tracking, workflow orchestration, or engineering triage.
Experience measuring automation impact through cycle-time reduction, defect prevention, reduced manual effort, improved test efficiency, or increased engineering throughput.
Compensation: The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of New York, Colorado, California, or Washington.
· The salary range for this role: is $153,200 to $234,100. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.
· Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.
· Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more
AI Disclosure:
As part of the application process, Artificial Intelligence will be used in the hiring process for this role
Hybrid:
This role is categorized as hybrid. This means the successful candidate is expected to report to Markham or Oshawa office three times per week, at minimum
Job Description Summary
General Motors is seeking a Technical Expert to advance next-generation virtual thermal system development. This role will help create fast-running, physics-based models of complete vehicle thermal systems and connect those models with advanced controls, vehicle sensor data, and AI-enabled engineering workflows.
The selected candidate will work on large, cross-functional projects spanning battery electric, plug-in hybrid, internal-combustion, and hybrid-electric vehicle architectures. The work will connect high-fidelity analysis, 1D plant models, reduced-order and fast-running models, model predictive control, state estimation, and vehicle-level validation into a scalable virtual development process.
This is an opportunity for a recent Ph.D. graduate who is willing to work in high-impact engineering programs while developing into a recognized technical leader in vehicle thermal systems, controls, and model-based engineering.
Responsibilities
Required Qualifications
Preferred Qualifications
Compensation:
The salary range for this role is $4700 to $5300 per month. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.
GM DOES NOT PROVIDE IMMIGRATION-RELATED SPONSORSHIP FOR THIS ROLE. DO NOT APPLY FOR THIS ROLE IF YOU WILL NEED GM IMMIGRATION SPONSORSHIP NOW OR IN THE FUTURE
Benefits:
The goal of the General Motors of Canada total rewards program is to support the health and well-being of you and your family. Our comprehensive compensation plan currently includes the following benefits, in addition to many others:
GM’s simulation team is looking for an experienced staff fullstack engineer to be a key technical leader in our mission to deliver autonomous driving technologies safely. This is a high-impact role where your work directly enables the validation of our most complex AI-driven systems.
Responsibilities
Required Qualifications
Desired Skills (Bonus Points)
Compensation:
Benefits:
Company Vehicle: Upon successful completion of a motor vehicle report review, you will be eligible to participate in a company vehicle evaluation program, through which you will be assigned a General Motors vehicle to drive and evaluate. Note: program participants are required to purchase/lease a qualifying GM vehicle every four years unless one of a limited number of exceptions applies.
]]>Hybrid: This role is categorized as hybrid. This means the successful candidate is expected to report to Warren, MI, or Austin, TX three times per week.
GM does not provide immigration-related sponsorship for this role. Do not apply for this role if you will need GM immigration sponsorship now or in the future. This includes direct company sponsorship, entry of GM as the immigration employer of record on a government form, and any work authorization requiring a written submission or other immigration support from the company (e.g., H1-B, OPT, STEM OPT, CPT, TN, J-1, etc.)
This job is not eligible for relocation benefits. Any relocation costs would be the responsibility of the selected candidate.
]]>This posting is not for an existing vacancy within the organization and is open to new applications. (New Head Count)
AI Disclosure:
As part of the application process, Artificial Intelligence will be used in the hiring process for this role.
Work Arrangement:
Hybrid: This role is categorized as hybrid. This means the successful candidate is expected to report to Markham Elevation Centre (MEC) and/or Oshawa Elevation Centre (OEC) three times per week at minimum, or other frequency dictated by the business.
About GM:
At General Motors we pride ourselves on designing, building and selling the world's best vehicles. We are seeking a new generation of visionaries to help launch bold engineering and business initiatives, and shape new directions for General Motors. As an intern or co-op student through our EXCEL (Exploring Careers through Experiential Learning) Program you will gain hands-on career specific experiences to maximize your real-world potential.
The Role:
The successful candidate will join an Agile Scrum team of approximately 10 members, responsible for developing Exterior and Interior Lighting software & controls for all GM vehicles produced globally! Our Scrum teams work in an Agile framework and are responsible for Requirements, Software Development, and Testing & Verification. The primary role of the successful candidate will be Software Development and Testing. Our team is collaborative, has a strong Agile culture, and will afford you the opportunity to work as part of a fun group whose product helps you see – and be seen – in every GM vehicle on the road!
What you will gain from this experience:
Own your own deliverables from end-to-end, contribute to awesome lighting features that you will literally see driving down the road!
Learn from decades of combined embedded development expertise in a highly collaborative environment.
Interact with and work on the future of automotive technology!
Your responsibilities will include:
Collaborate with Product Managers, Testers, and other developers, using methods like Behavior-Driven Development (BDD) and Test-Driven Development (TDD) to create and implement Lighting Features for GM’s next generation of EV and ICE vehicles.
Design, implement and integrate complex embedded software systems in hand-coded C.
Develop and maintain Unit tests and Multicomponent tests to ensure thorough software testing, and execute model/code equivalences testing.
Develop and execute automated tests in simulation and hardware-in-loop to validate system / sub-system requirements.
Participate in the Agile Team and Agile ceremonies as required.
Learn and apply system-level test methodologies that support new product development, collaborating with CI/CD and automation teams.
Required Qualifications:
Currently pursuing a Bachelors Degree in Computer Engineering, Computer Science, Software Engineering, Mechatronics, Mechanical Engineering or a related field.
Eligible to work full time hours, 40 hours a week for a term of 12- 16 months (consecutive semesters) starting January 2027
Preferred Qualifications:
Candidate demonstrates a high degree of ownership and initiative for their work, and strong collaboration and teamwork skills.
AutoDrive, EcoCAR, or other Automotive related experience/clubs.
Proficient in Embedded C and Python.
Understanding of embedded controls software and the automated software build processes.
Familiarity with automotive communication technologies such as CAN, LIN, and SPI
Experience in virtualization or software integration.
NOTE- YOU MUST BE ENROLLED IN A CO-OP PROGRAM AND MEET THE PROGRAM’S ELIGIBILITY REQUIREMENTS. ALL STUDENTS MUST ALSO BE LEGALLY ENTITLED TO WORK IN CANADA.
The monthly salary range for this role is $4,264.00 to $4784.00. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.
Sponsorship : PLEASE ONLY APPLY IF YOU DO NOT NEED SPONSORSHIP TO WORK IN CANADA NOW OR IN THE FUTURE. WE ARE UNABLE TO CONSIDER CANDIDATES WHO REQUIRE SPONSORSHIP
Accommodation is available for applicants with disabilities. Should you be contacted by General Motors of Canada Company, please advise if you require accommodation.
For more information about GM Canada, visit our website at www.gm.ca/careers
General Motors of Canada values diversity and is an equal opportunity employer
General Motors is at the forefront of the transformation of automotive with the electrification of our portfolio and the development of leading-edge central compute, connectivity, and autonomous capabilities. Our Semiconductor Engineering team is a dynamic, high-energy, and innovative group focused on the design and commercialization of leading-edge silicon enabling the future of GM's Software Defined Vehicle (SDV) platforms—central compute units, aggregators, connectivity modules, and other controllers.
We are seeking a driven Hardware Engineer – MCU to join our Semiconductor Center of Excellence. In this role you will own the microcontroller (MCU) hardware engineering deliverables that bring our in-house ECU designs to life—from I/O and resource mapping through application schematic support, component-level safety analysis, and hands-on board bring-up and validation. You will work shoulder-to-shoulder with ECU design, software, functional safety, and PCB layout teams, and collaborate directly with silicon suppliers to ensure our MCU-based platforms are designed right the first time.
#LI-JK3
]]>Hybrid: This role is categorized as hybrid. This means the successful candidate is expected to report to Milford, Michigan three times per week, at minimum.
The Role:
We are looking for a Senior Software Quality Assurance Engineer to help us elevate our software built-in quality to the next level in the Vehicle Mechatronics Embedded Controls (VMEC) organization!
In this role you will be using Agile methods, such as behavior driven development (BDD), to collaborate with product owners, developers, and tool owners with a team of testers to ideate, create, and execute software behavior tests for the next generation of GM embedded controllers.
What You’ll Do:
Act as a subject matter expert for a Solution Quality Assurance Team, mentoring new team members and driving process and efficiency improvements.
Develop comprehensive test plans for the team and lead test case development to assess software products at the solution level. Identify software anomalies, missed requirements and performance issues early in the development process.
Develop robust continuous automation methods using tools such the robot framework.
Understand functional, safety, and compliance requirements, implementing appropriate test plans and setups.
Execute test plans on a variety of test environments such as hardware and software in-the-loop simulators, and vehicles.
Identify and resolve software problems; contribute to the team knowledge base so common software errors, corner case situations and other learnings can be retained and shared.
Frequently collaborate with controls, diagnostic, and software cross-functional teams as well as other stakeholders to define effective acceptance criteria.
Travel as required.
Your Skills & Abilities (Required Qualifications):
Bachelor’s Degree in Mechanical, Mechatronic, Software, Electrical, or Computer Engineering.
5+ years of embedded software development or test experience.
Proficient with Python or other similar scripting languages (R, C, C++, MATLAB, VBA, or equivalent programming language).
Experience reading and debugging source code in C/C++ language.
Experience with JIRA, GIT, Rhapsody, Optimus and Scaled Agile Framework.
Experience working in an Agile environment.
What Can Give You a Competitive Advantage (Preferred Qualifications):
Master’s Degree in Mechanical, Mechatronic, Software, Electrical, or Computer Engineering.
8+ years of embedded software development or test experience.
High level of interpersonal skills to work effectively in a geographically dispersed organization.
Knowledge of applied controls theory at the system level.
Working knowledge of the software development process.
Test automation (e.g., Jenkins), regression testing, and test procedure creation.
Knowledge of suspension software features, functions, and dependencies.
Software-in-the-loop / controller virtualization test environment experience.
Hardware-in-the-loop test environment experience, including dSPACE ControlDesk.
CppUTest environment experience.
MATLAB/Simulink/Stateflow experience.
Vehicle Dynamics / CarSim experience.
Communication protocol and tool experience (Automotive Ethernet, CAN, LIN, diagnostics, ETAS INCA, Intrepid NeoVI/VSpy/Comet/Galaxy, Vector CANoe/CANape tools).
What You'll Do
Initiate and complete projects to streamline accounting operations via process simplification, standardization and/or automation.
Perform (low risk) operational activities like manual journal entries, account reconciliation or budgeting and forecasting
Participate in meetings to identify opportunities to streamline/simplify work. This may be one of below, but not limited to APM Policy review, MJE automation/reduction focused on high effort entries, and global QA tasks standardization
Present the results of the project to GBS Leadership Lead/participate in GBS-wide engagement activities
Your Skills & Abilities (Required Qualifications)
Candidates must be graduating/3rd year college students of Finance and Accounting courses, with internship as official undergraduate requirement
Must be willing to extend internship hours if needed and work on a hybrid set-up.
Basic accounting skills
Microsoft Office Applications (Excel, Powerpoint, etc.)
KNIME or any similar automation tools preferably trained LEAN, Six-sigma trained
Excellent oral and written communication and presentation skills (i.e. with high confidence to present to top management)
What Will Give You a Competitive Edge (Preferred Qualifications)
Leadership skills (e.g. officer in school or community organizations)
Good in problem solving
Ability to work in a competitive environment
Can confidently deal with ambiguity and learn on the fly
The Role:
The Software Design Release Engineer (SW DRE) supports the integration, validation, and release of hardware, software, and calibration for electronic control units (ECUs). As the steward of assigned ECUs, this role partners with cross-functional teams and suppliers to coordinate product plans, resolve issues, and support vehicle build and production milestones.
The SW DRE also manages software-related Problem Resolution Tracking System (PRTS) issues and helps drive timely corrective actions. This role offers the opportunity to build technical engineering, project management, and collaboration skills while contributing to the delivery of high-quality automotive software solutions.
What You’ll Do (Responsibilities):
Support the development, validation, and release of embedded controller software and calibrations for development, production, and service applications.
Create and maintain product plans, track program milestones, and communicate status to support the on-time delivery of high-quality controller products.
Collaborate with suppliers and cross-functional teams to align requirements, review designs, and resolve technical issues.
Lead and support product issue investigations through the Problem Resolution Tracking System (PRTS), including root cause analysis and corrective actions.
Create and execute controller validation plans, coordinating testing activities such as bench, integration, safety, cybersecurity, and regulatory testing.
Manage software, calibration, and controller part numbers throughout the product lifecycle to support product releases.
Support controller and system safety investigations, quality improvement initiatives, and continuous process improvement efforts.
Partner with suppliers, manufacturing plants, and engineering teams to support program launches, issue resolution, and successful product delivery.
Required Qualifications :
Pursuit of a Bachelor’s or Master’s degree in one of the following areas: Electrical Engineering, Mechanical Engineering, Software Engineering or Computer Science
Must be graduating between Dec 2026 – June 2027
Must be able to work in Southeast Michigan
Must have a valid US drivers license
Able to work full-time, 40 hours per week
Preferred Qualifications :
Formula SAE, Baja SAE, AutoDrive, FIRST Robotics, VEX Robotics, EcoCAR, or other automotive, robotics, or hands-on engineering project experience or clubs
Basic knowledge of software verification/validation processes
Understanding of engineering theory and principles of operation of mechanical/electrical mechanisms
Experience with product development, validation, or release processes in automotive, aerospace, robotics, or other embedded systems industries.
Basic knowledge of embedded control systems, hardware/software integration, or electronic control units (ECUs).
Basic knowledge of vehicle communications networks (e.g., CAN, LIN, Ethernet) and diagnostic concepts.
Familiarity with engineering processes such as Agile development, functional safety, cybersecurity, or systems engineering.
Experience using data analysis, scripting, automation, or Generative AI tools to improve engineering workflows.
This position may require legally operating a motor vehicle on an infrequent basis
GM does not provide immigration-related sponsorship for this role. Do not apply for this role if you will need GM immigration sponsorship now or in the future. This includes direct company sponsorship, entry of GM as the immigration employer of record on a government form, and any work authorization requiring a written submission or other immigration support from the company (e.g., H1-B, OPT, STEM OPT, CPT, TN, J-1, etc.)
Work Arrangement :
This role is categorized as hybrid. This means the successful candidate is expected to report to Milford, MI or Warren, MI three times per week, at minimum or other frequency dictated by the business.
To help facilitate administration of relocation benefits if you are selected, please apply using the permanent address you would move from.
Benefits:
GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.
This job may be eligible for relocation benefits
A posição:
O profissional de Coordenação Regional de Operações tem a responsabilidade de suportar o desenvolvimento e performance de todas as vendas, pós-vendas e atividades de publicidade de sua região de responsabilidade.
Coordenação de uma equipe de campo dinâmica, oferecendo o suporte necessário para a obtenção de conquistas e crescimento. Desenvolvimento e manutenção de relações positivas com as concessionárias e estabelecimento de estratégias para expandir a base de clientes das suas regiões, trabalhando reciprocamente com a Rede de Concessionárias no desenvolvimento e implementação de seus planos de negócios.
Estar envolvido em uma variedade de iniciativas, incluindo: desenvolvimento e implementação de iniciativas de marketing, incentivos, análise financeira e treinamentos.
O que você irá fazer (responsabilidades) :
Coordenar e apoiar as operações de vendas e pós-vendas, garantindo o alcance de metas e excelência operacional.
Apoiar o Gerente de Operações na gestão da equipe, promovendo colaboração e tomada de decisão baseada em análises.
Monitorar indicadores, identificar oportunidades e implementar planos de ação para melhoria de resultados.
Atuar na definição e execução de estratégias comerciais, ações de vendas, incentivos e acompanhamento da concorrência.
Apoiar concessionárias e equipes regionais por meio de orientação, visitas de campo e acompanhamento de performance.
Monitorar NPS e feedbacks de clientes, promovendo melhorias na experiência do cliente.
Analisar a performance econômico-financeira da rede e propor estratégias de desenvolvimento de negócios.
Garantir conformidade, relatórios, treinamentos e implementação de novos programas e processos.
Atuar em demandas regionais, operacionais e suporte à Rede de Concessionárias.
Localidade: Campinas/SP
Suas habilidades e competências (qualificações obrigatórias):
Formação Superior Completa;
Possuir CNH e dirigir;
Domínio de Pacote Office/Outlook, em especial Excel e Powerpoint
Experiência na área comercial (vendas, pos vendas) ou Marketing, preferencialmente no atendimento (direto ou indireto) as concessionárias
Relacionamento Comercial e Conhecimento de Mercado Automotivo,
Disponibilidade para viagens
Disponibilidade para residir em Campinas/SP
O que pode lhe dar um diferencial competitivo (qualificações desejáveis):
Habilidades de Coordenação de time,
Tomada de Decisão, Negociação,
Foco no Cliente
Orientação Estratégica e Comercial.
#LI-AS
]]>As a software engineer on the Simulation Engine team, you will drive the development of our simulation frameworks that enable high-fidelity and high-performance validation of the autonomy stack, as well as the gym environment for reinforcement learning model training. We are looking for an engineer passionate about providing the best developer experience, and who can effectively drive collaborations across large engineering organizations. This role will lead you to learn the ins and outs of our autonomous driving software stack, simulation frameworks, and RL model training.
Required Skills
Desired Skills
Compensation:
Benefits:
GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.
#GM-AV-1
]]>Every day, our products move millions of people as we aim to make driving safer, smarter, and more connected, shaping the future of transportation on a global scale.
Role:
Are you passionate about accelerating the future of autonomous driving? Join the Embodied AI team at General Motors. Our team is developing and deploying machine learning solutions that support safe and reliable autonomous vehicle behavior across real-world scenarios.
As a Senior ML Infra Engineer, you will work on the core systems that enable rapid dataset generation, training, evaluation and iteration of our most advanced Autonomous Driving models. From enabling large foundational driving models to distilling multi-stage production deployed models, your goal will be to dramatically accelerate the machine learning development cycle from one modeling hypothesis to next.
You will develop model training pipelines that are performant, easy to use, and exceptionally reliable. Your success will be measured by the velocity and impact of the ML models that rely on the scalable, intuitive, and high‑performance training platforms you help create.
What You’ll Do:
Design, implement, and deploy scalable platforms and tools supporting machine learning training and evaluation workflows across GM.
Drive complex technical projects with strong ownership of implementation, code quality, and system reliability.
Contribute to technical design discussions and architectural decisions while collaborating with senior engineers and technical leads.
Work closely with partner teams to ensure platforms meet real-world ML development needs and maximize adoption.
Identify technical improvements and help prioritize platform investments to improve performance, reliability, and developer productivity.
Contribute to a strong engineering culture through high-quality code reviews, documentation, and operational excellence.
Support onboarding and mentoring of junior engineers and interns.
What You’ll Bring:
3+ years of experience working on large-scale distributed systems, applications, or ML infrastructure.
Experience designing robust services or frameworks with durable, well-designed APIs.
Solid understanding of machine learning workflows and hands-on experience applying ML systems in production environments.
Experience building reliable, high-performance, and cost-efficient systems on modern cloud infrastructure.
Practical experience across the ML development lifecycle, including model training, deployment, and MLOps practices.
Strong cross-functional collaboration skills across teams and organizations.
Strong coding skills in Python or C++.
Interest in autonomous driving and large-scale ML systems.
BS, MS, or PhD in Computer Science, Mathematics, or equivalent practical experience.
Nice to Have:
Experience with distributed training methodologies.
Experience scaling ML training across large GPU/CPU clusters or specialized accelerators.
Familiarity with deep learning frameworks such as PyTorch or TensorFlow.
Experience with performance profiling and training optimization techniques and their impact on model convergence and performance.
Experience with advanced build systems such as Bazel, Buck, Blaze, or CMake.
Proficiency with containerization and orchestration technologies (e.g., Docker, Kubernetes).
Remote/Hybrid: This role is categorized as fully remote or hybrid.
Compensation: The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of the California Bay Area.
The salary range for this role is $153,200.00 to $234,100.00. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.
Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.
Benefits:
Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.
This job may be eligible for relocation benefits.
#GM-AV-1
#LI-CX1
]]>At General Motors, we believe in engineering leaders who remain deeply technical and understand the challenges their teams are facing. The ideal candidate will be comfortable switching context from programming in C/C++, designing elegant software architectures, defining how to test, benchmark, and debug complex systems, engaging with third parties (including standards bodies and regulatory teams) and providing mentorship for staff and senior software engineers.
What you’ll do:
Your Skills & Abilities:
What will give you a competitive edge:
Compensation: The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position, as well as geography of the selected candidate.
• The salary range for this role is (Position 201,600- 309,900 from Pay Transparency Posting Salary Ranges). The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.
• Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.
Benefits:
• Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.
#LI-JK3
]]>The Data Scaling team owns the Data Flywheel for AV Foundation model development and successive fine tuning. It defines the composition of the data that is needed for the AV to learn behaviors at scale and deliver the driving behaviors necessary for the product success. The team owns the definition and processes for data quality across the data loop.
The team directly works on and delivers ML models to the product that successively go up the Data Scaling curves, thereby directly impacting AV product performance through smart use of data. As part of this work, the team builds scalable systems and pipelines that attempt to 10x the data used, its diversity and impact on the models with successive major releases. The team uses existing very large datasets that GM has access to internally as well as defines the next generation of highest value datasets that GM continues to collect – both from real driving by GM and retail fleets, but also synthetic sim-based datasets.
Why Join Us?
Scale up AV foundation model pre-training and fine-tuning with data to its maximum capacity – into billions+ of examples - across different sources, delivering the maximum value to the model through every additional example.
Work with cutting-edge technology and a collaborative, high-impact team of AI/ML engineers, data scientists and engineers who are passionate about leveraging advanced AI techniques to drive innovation for L2, L3 and L4 applications.
Contribute to the safety, reliability, and scalability of next-generation autonomous vehicles.
As a Staff AI/ML Engineer in the Embodied AI Data Foundations organization, you will serve as a senior individual contributor developing machine learning solutions, maximally leveraging multiple sources of data including real and synthetic datasets, that directly impact autonomous driving performance. You will design and implement advanced data curation and model training recipes the will deliver ML models that enabling safe and reliable vehicle behavior across diverse real-world scenarios.
In this role, you will partner closely with cross-functional engineering teams, contribute to core technical direction within your domain, and support the growth of engineers through technical collaboration and mentorship. You will help translate research into scalable onboard and offboard ML solutions while contributing to the continuous improvement of our autonomy stack.
What You'll Do
Design and implement ML solutions aligned with GM’s autonomous driving objectives.
Apply techniques such as unsupervised pre-training, imitation learning, reinforcement learning, model scaling/selection, foundation modeling, to solve problems in object detection/tracking/classification, trajectory generation, and safe AI.
Collaborate with cross-functional teams to deploy models and algorithms into onboard driving systems.
Contribute to applied research efforts and remain current with advancements in ML frameworks and methods.
Design and build efficient infrastructure, pipelines, and tooling to facilitate fast-pace model iterations.
Drive technical execution from prototyping through production deployment, documenting learnings and best practices.
Support and mentor engineers through technical collaboration and code reviews, fostering knowledge sharing and engineering excellence.
Your Skills & Abilities
Bachelor’s, Master’s, or PhD in Computer Science, Robotics, Machine Learning, or related field.
Experience working with large-scale foundation models and alignment methods applied to real-world systems.
Demonstrated ability to deliver applied ML solutions under real-world constraints and timelines.
Proficiency in PyTorch and Python.
Experience building and scaling model training pipelines enabling efficient iteration across teams.
Strong data processing skills using tools such as NumPy, Pandas, and Apache Spark.
Strong communication skills enabling effective collaboration across engineering teams.
Experience deploying ML models into production environments and understanding end-to-end deployment workflows.
Experience in robotics or autonomous driving systems preferred.
Remote/Hybrid: This role is categorized as fully remote or hybrid.
Compensation: The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of the California Bay Area.
The salary range for this role is $189,000 to $300,000. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.
Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.
Benefits:
Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.
Company Vehicle : Upon successful completion of a motor vehicle report review, you will be eligible to participate in a company vehicle evaluation program, through which you will be assigned a General Motors vehicle to drive and evaluate. Note: program participants are required to purchase/lease a qualifying GM vehicle every four years unless one of a limited number of exceptions applies.
Relocation: This job may be eligible for relocation benefits.
#LI-CX1
#GM-AV-1
]]>You will play a critical role in building scalable, reliable, and efficient systems that enable advanced user experiences, vehicle integration, and cloud-connected capabilities. This role requires strong technical expertise, ownership, and the ability to collaborate effectively across cross-functional teams.
What You'll Do:
Your Skills & Abilities (Qualifications):
What Will Give You a Competitive Edge (Preferred Qualifications):
Compensation: The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of the California Bay Area .
The salary range for this role is $160,000 and $200,000. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.
Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.
Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.
The General Motors Manufacturing Group is seeking to identify highly motivated and qualified individuals for current and potential future opportunities as a Group Leader. In anticipation of these openings becoming available, we welcome you to apply so we can begin the pre-screening and interview process.
The Role:
The Maintenance Group Leader will be responsible for leading a group of skilled, hourly workers to troubleshoot and repair complex equipment and processes. This position requires the ongoing application and enforcement of the National and Local UAW Agreements. Candidates must possess technical expertise to oversee and support maintenance operations, exercising independent judgment within the framework of Global Manufacturing Systems, with a focus on Safety, People, Quality, Responsiveness, Cost, and Environment (SPQRCE)
Selected candidates will gain the chance to develop new skills while contributing to the advancement of manufacturing processes that support the groundbreaking shift toward electric and autonomous vehicles.
What You'll Do (Responsibilities):
Specific physical requirements of the position include the ability to:
Your Skills and Abilities (Required Qualifications):
What Can Give You a Competitive Edge (Preferred Qualifications):
In this role, you will apply artificial intelligence to improve developer productivity, modernize engineering workflows, and advance toolchain capabilities across embedded software development. You will shape and deliver practical, production-grade AI capabilities that help engineers build, test, analyze, troubleshoot, and support complex software systems more effectively at scale.
This role is ideal for a recognized technical expert who thrives in ambiguity, works independently with broad latitude, influences key technical decisions, and leads large cross-functional efforts with broad visibility. You will partner across CI/CD, virtualization, systems engineering, calibration, platform, and software development teams to identify high-value opportunities and turn them into scalable solutions that improve engineering throughput, reliability, and user experience.
Our organization supports the end-to-end engineering toolchain that enables teams to define, develop, validate, calibrate, and release embedded software and systems. That includes engineering tools, build and test workflows, dashboards, automation, integrations, and engineering support platforms. As part of this team, you will help define how AI can be used responsibly and effectively in real engineering environments to improve speed, quality, and user experience.
What you’ll do
Additional job description
Your skills and abilities (required qualifications)
What can give you a competitive edge (preferred qualifications)
Why join us
This is an opportunity to shape how AI is applied in real-world engineering environments at scale. You will work on high-value problems at the intersection of developer productivity, toolchain modernization, automation, CI/CD, observability, and embedded software development. Your work will help engineering teams move faster, reduce friction, improve quality, and unlock new capabilities across a critical part of GM’s software development ecosystem.
You will join a team that is actively modernizing and scaling core engineering toolchains, including CI/CD robustness, workflow automation, dashboarding and observability, configuration and calibration workflows, and platform evolution. This role offers the opportunity to turn promising AI concepts into reliable, enterprise-ready capabilities that deliver measurable value.
Compensation: The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position, as well as geography of the selected candidate.
• The salary range for this role is ($160,200 - 246,300). The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.
• Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.
Benefits:
• Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.
#LI-JK3
]]>If you are a current employee of General Motors working in a per diem, hourly, or regular salaried role, you must apply through the internal careers page. Please navigate to https://workday.gm.com and search for GM Find Jobs.
The General Motors Manufacturing Group is seeking to identify highly motivated and qualified individuals for current and potential future opportunities as a Group Leader. In anticipation of these openings becoming available, we welcome you to apply so we can begin the pre-screening and interview process.
Onsite: This role is categorized as onsite. This means the successful candidate is expected to report to Lansing, Michigan on a full-time basis.
The Role:
The Maintenance Group Leader will be responsible for leading a group of skilled, hourly workers to troubleshoot and repair complex equipment and processes. This position requires the ongoing application and enforcement of the National and Local UAW Agreements. Candidates must possess technical expertise to oversee and support maintenance operations, exercising independent judgment within the framework of Global Manufacturing Systems, with a focus on Safety, People, Quality, Responsiveness, Cost, and Environment (SPQRCE)
Selected candidates will gain the chance to develop new skills while contributing to the advancement of manufacturing processes that support the groundbreaking shift toward electric and autonomous vehicles.
What You'll Do (Responsibilities):
Analyze and respond promptly to the manufacturing daily plan, making necessary adjustments to operations as required
Manage multiple tasks in a fast-paced environment with competing priorities
Drive accountability through people and processes which may require difficult conversations
Conduct appropriate checks and tests, and communicate evaluation of results
Proactively offers solutions to operational or technical issues
Perform preventative maintenance and diagnosis of equipment malfunctions
Maintains productivity and quality in line with organizational standards
Implement divisional and corporate policies and safety and good housekeeping practices
Maintain frequent contact and collaboration with others outside of the work group
Supervises the efficient use of labor, inventory, and machinery
Establish a course of action to accomplish completion of the job and/or project
Specific physical requirements of the position include the ability to:
Work in a loud manufacturing environment that may not be climate controlled (conditions can be hot or cold)
Possess good physical stamina and coordination to frequently and repetitively:
Bend, twist, kneel, crouch and reach to perform work
Lift or carry materials weighing up to 15 lbs. and periodically carry or lift materials weighing up to 40 lbs.
Walk and stand for prolonged periods of time
Occasionally sit, climb (including ladders and lifts) and drive vehicles and equipment
Read standardized work instructions, operate machines and tools, and perform quality inspections
Promptly detect and respond to safety instructions, alarms, and signals
Wear personal protective equipment, for example: safety glasses, gloves, hats, ear plugs, and safety shoes
Your Skills and Abilities (Required Qualifications):
One year of direct team supervisory experience or at least 5 months as an internal GM per diem group leader
Experience reading and understanding electrical, pneumatic, and hydraulic blueprints
Experience solving complex problems and working in a fast-paced environment
Strong interpersonal skills, experience managing conflict and decision making
Experience managing, leading people, and addressing performance concerns
Demonstrate a high analytical ability to solve complex problems
Basic computer proficiency (i.e., Microsoft Word, typing, email, etc.)
Must be willing to work weekends and rotating shifts
18 years of age or older
High School Diploma or equivalent
What Can Give You a Competitive Edge (Preferred Qualifications):
Strong critical thinking and analytical skills
Experience working on multiple projects simultaneously
Willingness to ask questions, take initiative and be resourceful
High level of integrity, ability to deal with ambiguity, self-directed
Experience collaborating across multiple functions within a manufacturing setting
Come build the future of self-driving at GM. The Autonomous Vehicle Launch team is responsible for configuring, executing, and monitoring our autonomous driving applications. We develop onboard services that orchestrate on-vehicle activities across distributed computers. Our systems are among the first to start when a vehicle powers on and the last to shut down during power off. Our team interfaces with production vehicles, manufacturing lines, developer environments, cloud services, and more.
As an engineer in the AV Launch team, you’ll develop embedded applications and frameworks that provision, execute, instrument, and monitor our self-driving stack. You’ll collaborate with other teams to engineer onboard workflows and use cases. The systems you build will be deployed onto vehicles, hardware benches, and simulations. Your efforts will directly influence how other teams design and build the next generation of self-driving software at GM.
Job Responsibilities
Build on-vehicle services that provision, execute, and monitor autonomous vehicle software in development and production workflows
Build frameworks to configure self-driving software for a wide variety of simulation environments, hardware platforms, and use cases
Develop systems and frameworks to monitor vehicle status and exfiltrate data
Collaborate with colleagues across multiple teams and mentor other developers
Deliver complex projects through incremental development
Job Requirements
Bachelor’s degree in STEM field or relevant work experience
5+ years of experience building and shipping production-quality software, with a focus in Linux-based environments
Strong background in modern C++ and Python development
Experience working with and building tooling for large systems
A high standard and commitment to quality by designing for testability
Bonus Points
Track record of developing projects from initial design through customer release
Experience with robotics middleware platforms and related concepts, such as inter-process communication or logging
Compensation: The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of New York, Colorado, California, or Washington.
The salary range for this role is $153,200- $234,100. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.
Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.
Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.
Benefits:
Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.
The Role
GM is looking to hire highly skilled and experienced Staff Software Engineers to join our team focused on developing cutting-edge AI agents. This role involves leading the design, development, and deployment of robust, scalable, and intelligent software agents that drive innovation across our products and services. The ideal candidate will have a deep understanding of AI/ML principles, distributed systems, and a track record of technical leadership.
What You'll Do
Lead the architecture and implementation of next-generation AI agents, from conceptualization to production deployment.
Drive technical direction and strategy for the AI agent platform, ensuring scalability, reliability, and performance.
Mentor and guide junior and senior engineers, fostering a culture of technical excellence and best practices.
Collaborate with Product Managers and other engineering teams to define requirements and deliver impactful solutions.
Conduct complex code reviews, system design reviews, and provide constructive feedback.
Identify and address technical debt, performance bottlenecks, and architectural challenges within the agent infrastructure.
Stay current with the latest advancements in AI, machine learning, and software engineering to continually improve our technology stack.
Your Skills & Abilities (Required Qualifications)
Bachelor's degree in Computer Science, related technical field, or equivalent practical experience.
8+ years of professional software development experience, with a focus on large-scale distributed systems or AI/ML infrastructure.
Expert proficiency in one or more programming languages such as Python, C++, Java, or Kotlin.
Extensive experience designing, building, and deploying production-grade AI/ML models or intelligent agents.
Demonstrated technical leadership in complex projects, including mentoring and driving cross-functional initiatives.
What Will Give You a Competitive Edge (Preferred
Qualifications)
Master's or Ph.D. in Computer Science or a related quantitative field.
Deep expertise in specific AI agent technologies (e.g., Reinforcement Learning, Multi-Agent Systems, Large Language Models (LLMs)).
Experience with cloud platforms (e.g., AWS, GCP, Azure) and containerization technologies (e.g., Docker, Kubernetes).
Proficient with Android development with a proven ability to design and deploy high performance applications.
Proven ability to communicate complex technical concepts effectively to both technical and non-technical audiences.
A strong portfolio of contributions to open-source projects or relevant publications.
Compensation : The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of the California Bay Area.
The salary range for this role is ($189,300 - $290,000). The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.
Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.
Company Vehicle : Upon successful completion of a motor vehicle report review, you will be eligible to participate in a company vehicle evaluation program, through which you will be assigned a General Motors vehicle to drive and evaluate. Note: program participants are required to purchase/lease a qualifying GM vehicle every four years unless one of a limited number of exceptions applies.
This Job may be eligible for relocation benefits.
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]]>The Role -
We are seeking an experienced and dynamic Product and Marketing Manager to drive the growth of the ACDelco brand and product portfolio in the Taiwan aftermarket. This role is crucial for leading the entire new product lifecycle, from initial concept to market launch, while significantly enhancing ACDelco's brand awareness and market presence through innovative marketing strategies.
Lead the new ACDelco product initial development proposal, identifying opportunities to expand the product line relevant to the Taiwan market.
Collaborate closely with the APC team to source and procure new products.
Oversee the successful launch of new products in the Taiwan market, including pricing, positioning, and inventory strategy.
Brand and Marketing Strategy
Lead the efforts to significantly increase ACDelco brand awareness across Taiwan.
Develop and execute comprehensive marketing campaigns across different channels to promote the brand and specific products.
Drive marketing content generation across various formats (digital, print, video) to support product launches and brand initiatives.
Utilize knowledge and skills on social platforms, live streaming, and other digital channels for effective brand communication and audience engagement.
Manage various brand promotion projects and initiatives from conception to execution.
Distribution Channel & Sales Collaboration
Lead and guide authorized ACDelco distributors to standardize the Corporate Identity (CI) and Visual Identity (VI) across all ACDelco authorized workshops to ensure brand consistency.
Collaborate with the sales team to design and execute effective seasonal sales campaigns and promotional activities to drive volume and market share.
Employ project management skills to ensure timely and budget-compliant execution of all product and marketing initiatives.
Your Skills & Abilities (Required Qualifications)
A minimum of 5 years of progressive experience in Aftermarket (automotive, parts, or related industry) or relevant marketing experience.
Demonstrated experience and proficiency in social media platform management and digital marketing.
Proven ability to generate compelling marketing content (written, visual, or video).
Experience with live stream platforms and strategy for product promotion or brand engagement is highly desirable.
Strong track record in project management, with the ability to manage multiple complex initiatives simultaneously.
Deep understanding of brand promotion techniques and strategic brand development.
Bachelor's degree in Marketing, Business Administration, or a related field.
Excellent communication, presentation, and interpersonal skills in Mandarin Chinese
Proven ability to work effectively in a cross-functional and regional team environment (e.g., with APC team, Distributors).
What Will Give You a Competitive Edge (Preferred Qualifications)
Excellent communication, presentation, and interpersonal skills in English
This role is categorized as on-site. This means the successful candidate is expected to report to HQ Building in Shanghai, China full time.
The Role -
The Accounting Operation Analyst will support end-to-end accounting operation including but not limited to Accounts Payable, Accounts Receivable, Fixed Assets, Cash Disbursement, Intercompany transactions and month-end close activities. This role is responsible for delivering accurate and timely accounting operation and drive process optimization through standardization, automation and AI-enabled ways of working.
The candidate should bring strong accounting operation experience, solid knowledge of operational controls and hands-on exposure to finance transformation projects.
Ensure timely and accurate execution of accounting operation activities, including but not limited to Accounts Payable, Accounts Receivable, Fixed Assets, Cash Disbursement and intercompany transactions.
Perform month-end close activities, reporting packages and reconciliation of AP, AR, accruals, Fixed Assets, Intercompany and other balance sheet accounts.
Support internal and external audit requests with timely and accurate data and analysis.
Maintain/Monitor sound and effective internal control environment over the financial reporting/business operation. Implement and develop quality control for accounting daily operation.
Identify and drive opportunities to simplify, standardize and optimize end-to-end accounting operation processes. Support finance modernization initiatives, leveraging digital tools, automation solutions and AI-enabled approaches to improve efficiency and transparency.
Partner with global and local stakeholders to understand business/system requirements and drive end-to-end implementation of finance systems, including requirement alignment, testing, deployment, and post-go-live support.
Provide cross-functional project support and interact closely with cross function teams (e.g. Tax, Treasury, FP&A, HR, and GPSC) to resolve issues and improve process effectiveness.
Review/prepare the materials for local and corporate leadership’s review, e.g. quarterly review package, Balance Sheet Review, etc.
Maintain up-to-date process documentation and desktop procedure.
Other ad hoc tasks and projects based on requirement.
Your Skills & Abilities (Required Qualifications)
Bachelor’s degree or above in Accounting, Finance, or a related field. CPA required (AICPA preferred).
4–6 years of relevant experience in accounting operation, with hands-on exposure in AP, AR, Cash, Fixed Assets, General Ledger and Intercompany accounting.
Strong accounting operation experience, solid knowledge of operational control, and hands-on exposure to finance modernization projects.
Process improvement orientation and willingness to challenge inefficient ways of working.
Experience with ERP and accounting systems such as SAP, Oracle, OneStream or similar platforms.
Familiarity with AI tools and practical use cases in finance operation.
Practical skills/knowledge in both US GAAP and PRC GAAP and be able to leverage AI tools to perform GAAP research.
Self-starter and takes initiative in leading/driving activities.
Strong analytical, problem-solving, communication skills and attention to details.
Proficiency in Microsoft Excel, PowerPoint, Outlook, and other common office tools.
What Can Give You a Competitive Advantage (Preferred Qualifications)
Big 4 audit or advisory experience plus in-house finance or accounting operation experience.
Coding capability such as Python, SQL, VBA, Power Query or similar tools.
Experience leveraging AI to improve accounting operation productivity, streamline workflows and support broader finance process transformation.
Preferred Experience Includes:
Primary Responsibilities:
GM Defense is driving the future of military mobility by leveraging the best-in-class capabilities of General Motors for unmatched innovation, proven performance and breakthrough life-cycle economics. We deliver reliable, affordable, and innovative products across a full spectrum of capabilities – integrated vehicles, power and propulsion, autonomy, mobility, and security.
GM Defense IT is seeking a Staff Enterprise Architect to define and lead the target-state architecture, standards, and transition approach for a scalable, compliant IT ecosystem. This role will help shape the future GM Defense architecture model and the roadmap for reducing operational friction across multiple environments.
This role is expected to operate as an expert individual contributor with highly specialized knowledge, broad business acumen, and broad latitude in decisions and actions. The role should solve complex cross-functional problems, influence key technical and operating-model decisions, establish architecture direction and standards across domains, and lead large initiatives that require integration across multiple internal and external stakeholders. This role aligns to the GM Enterprise Architect profile, which is responsible for high-level structures, integrated solutions, and technology direction, standards, and roadmaps across one or more business or technical domains.
Lead architect for GM Defense initiatives, including secure environment capabilities, enterprise applications, integrations, and supporting platforms required to meet business and regulatory needs.
Define and communicate the high-level architecture structures, architecture principles, standards, guardrails, and decision frameworks that guide GM Defense technology direction and support current and future business needs.
Partner with business stakeholders, cybersecurity, export compliance, information governance, infrastructure, manufacturing, engineering, SAP and delivery teams to understand needs, evaluate options, and align on the best architecture direction across workstreams and domains.
Analyze technical trade-offs, validate assumptions, evaluate implementation alternatives, and make recommendations that balance compliance, scalability, resiliency, maintainability, and speed of delivery.
Lead application inventory, classification, current-state disposition, target-state decisioning, and migration-wave planning for in-scope GM Defense applications and platforms.
Define architecture decision frameworks and guide strategic choices across platforms, hosting models, integrations, and modernization paths.
Own the target-state architecture and enterprise roadmap for reducing Fed Zone / LLC operating friction, improving user experience, and supporting a scalable operating model for future growth.
Lead architecture efforts related to security, compliance, access management, data protection, and other requirements for regulated environments.
Define enterprise architecture roadmaps, standards, and phased transition plans that enable implementation teams to execute against a clear future-state direction with reduced risk.
Support architecture governance and review processes through target-state architecture views, decision frameworks, architecture design artifacts, and other required documentation that guide execution and traceability.
Drive alignment and decisions across internal and external stakeholders, including in situations where legacy practices, competing priorities, or differing risk views constrain agreement.
Act as a strategic thought partner and subject matter expert for complex architecture and operating-model decisions, helping leadership move from strategy to execution and measurable outcomes.
Bachelor’s degree in Information Technology, Engineering, Computer Science, or related field.
10+ years experience in enterprise architecture, solution architecture, systems design, or related senior IT architecture roles.
Experience defining end-to-end architectures for complex enterprise solutions, including application, integration, infrastructure, security, and operational considerations.
Experience establishing architecture direction, standards, guardrails, and technology roadmaps across one or more business or technical domains.
Experience architecting or governing secure or highly controlled environments with strong identity, access, network, data protection, auditability, and compliance requirements.
Experience in regulated or government ‑contract environments (defense, aerospace, or other regulated industries)
Knowledge of government cybersecurity and compliance frameworks such as CMMC, DFARS, NIST SP 800-171, or related controls.
Experience leading architecture assessments, target dispositions, transition planning, and remediation sequencing across multiple applications, stakeholders, and domains.
Experience leading architecture work that requires coordination across multiple teams, stakeholders, and domains.
Strong ability to assess trade-offs, define non-functional requirements, and drive architecture decisions in complex environments.
Strong written and verbal communication skills with the ability to influence decisions, gain alignment, and present recommendations across technical and business audiences.
Ability to work independently with broad decision-making latitude in a fast-paced, complex environment.
Understanding of government data classifications and handling requirements, including concepts such as CUI, ITAR, EAR, export controls , and classified program sensitivities .
Knowledge of government cybersecurity and compliance frameworks such as CMMC, DFARS, NIST SP 800-171 , or related controls.
Experience supporting one or more of the following domains: manufacturing, SAP-enabled business processes, supply chain, customer care and aftersales, engineering, or secure collaboration environments.
Experience with cloud, integration, infrastructure, and platform architecture in environments that require strong governance and operational discipline.
Success Profile
The strongest candidates will combine architecture depth, business understanding, and practical execution. They should be able to connect strategy to target-state design, bring structure to ambiguity, influence across organizational boundaries, and deliver secure, supportable solutions that help GM Defense move forward with speed, discipline, and compliance.
#GMD
]]>At GM, Customer Care and Aftersales (CCA) supports vehicles throughout their lifecycle by helping dealers and service partners keep customers on the road through warranty administration, service enablement, and dealer parts operations. CCA Warranty manages capabilities such as warranty processing, claims, labor time, and global warranty systems to help optimize repairs and control costs. CCA Service equips dealers with technical support, service information, diagnostic tools, technician training, and connected service experiences so repairs are faster and more accurate. For Dealer Parts, CCA drives parts cataloging, order entry, fulfillment, returns, pricing, and inventory visibility across GM’s dealer network, backed by a global distribution footprint that delivers replacement parts at scale.
Sr. Systems Analysts work closely with stakeholders to understand their needs and translate them into functional and technical requirements and product backlogs for software engineering teams. They research and evaluate various software and hardware options to determine the most suitable technology solutions for the organization's needs. They create detailed system design specifications, including data models, process flows, integration with upstream and downstream systems, and user interfaces, to guide the software engineering team. They work closely with software engineers to ensure that the system is developed according to the specified requirements. They design and execute testing protocols to validate system performance, reliability, compliance with standards, additional quality attributes and customer requirements.
Hybrid: This role is categorized as hybrid. This means the successful candidate is expected to report to Warren, MI. You are expected to report to this location three times a week, at minimum.
The Ideal Candidate:
Electronic Control Units (ECUs) are central to a wide range of control functions and are undergoing significant technological advancements in the global automotive market. Our team is looking for a creative and highly energetic ECU Hardware Requirements & Specifications Engineer who can lead the development and management of hardware requirements, low-level software definition and specification for ECU Hardware Component Technical Requirements Specifications (CTRS).
The ideal candidate will have experience with Automotive Embedded Control Systems including ECU circuit-level design, semiconductor and microprocessor application, low-level software design and diagnostics. Additional experience with implementing high Automotive Safety Integrity Level (ASIL) designs and applications is desirable.
The candidate will drive innovation, facilitate effective communication, and inspire enthusiasm within the team. We expect you to demonstrate leadership qualities, actively champion change, possess keen business intuition, and strategically address systemic challenges. You should also exhibit high learning agility, the ability to navigate ambiguity and complexity, and a commitment to pushing the boundaries of innovation while challenging the status quo. You will also interact with and mediate between diverse control system, software and hardware design teams to achieve acceptable ECU requirements to all consumers of them.
The Role:
In this role you are expected to have a high level of technical proficiency in developing and managing requirements and providing technical leadership to perform ongoing development, maintenance, and configuration management of CTRS requirements that support various build-to-spec and build-to-print ECU designs across GM’s diverse portfolio of vehicles and electrical architectures (including electrification / Electric Vehicle ECU designs). Your contributions will play a key role in enabling standardized hardware designs with a focus on providing common solutions and seamless software implementations across multiple vehicle platforms. Your role will interface across various GM engineering disciplines as well as external engineering entities to obtain needed information for the requirements development work.
What You’ll Do:
Your Skills & Abilities (Required Qualifications):
What Will Give You A Competitive Edge (Preferred Qualifications):
#LI-JK3
]]>The General Motors Manufacturing Group is seeking to identify highly motivated and qualified individuals for current and potential future opportunities as a Group Leader. In anticipation of these openings becoming available, we welcome you to apply so we can begin the pre-screening and interview process.
Onsite: This role is categorized as onsite. This means the successful candidate is expected to report to Orion, Michigan on a full-time basis.
This role requires 8 weeks of training that will be completed in the first 8 weeks of employment at other GM locations (Lansing Delta Township, Flint, Ft. Wayne, Arlington, or other locations as determined by the business). Travel to those locations will be required during the 8-week training – accommodations will be provided. After the completion of the 8-week training program, the role will be located in Orion, MI with minimal travel thereafter.
The Role:
As a Group Leader in Production, Quality, or Global Supply Chain (GSC), you will be responsible for leading teams of employees or technical personnel to drive operational excellence across manufacturing processes. This includes managing daily operations, developing and improving business processes, and fostering a culture of teamwork and collaboration.
In this role, you may oversee production activities, quality assurance, inspection, problem-solving, and GM Built-in-Quality initiatives. You will be expected to apply independent judgment within the framework of Global Manufacturing Systems, with a strong focus on Safety, People, Quality, Responsiveness, Cost, and Environment (SPQRCE).
What You'll Do (Responsibilities):
Production & Operational Management
Analyze and adjust daily manufacturing plans; manage manpower allocation and respond promptly to issues to maintain production flow.
Manage multiple tasks in a fast-paced environment, navigate ambiguity, and drive accountability through people and processes.
Leadership & Team Development
Coach and mentor team members and Team Leaders to foster skill development and adherence to standard work practices.
Conduct disciplinary interviews, manage grievances, and collaborate with union partners effectively.
Continuous Improvement & Lean Practices
Improve business results using Lean Manufacturing; identify and eliminate waste for Safety, Quality, Throughput, and Cost.
Develop and maintain Throughput Improvement Process action sheets; lead corrective and preventive actions and generate Quality Alert Boards (QABs).
Quality & Compliance
Enforce quality processes with customer safety at the center; perform critical confirmations and ensure compliance with TA1 requirements.
Drive quality through effective feedback/feedforward communication and resolve discrepancies promptly.
Data-Driven Decision Making
Locate and analyze operational data to support accountability and continuous improvement initiatives.
Specific physical requirements of the position include the ability to:
Work in a loud manufacturing environment that may not be climate controlled (conditions can be hot or cold)
Possess good physical stamina and coordination to frequently and repetitively:
Bend, twist, kneel, crouch and reach to perform work
Lift or carry materials weighing up to 15 lbs. and periodically carry or lift materials weighing up to 40 lbs.
Walk and stand for prolonged periods of time
Occasionally sit, climb (including ladders and lifts) and drive vehicles and equipment
Read standardized work instructions, operate machines and tools, and perform quality inspections
Promptly detect and respond to safety instructions, alarms, and signals
Wear personal protective equipment, for example: safety glasses, gloves, hats, ear plugs, and safety shoes
Your Skills and Abilities (Required Qualifications):
One year of direct supervisory experience or at least 5 months as an internal GM per diem group leader
Experience managing, leading people, and addressing performance concerns
Experience solving complex problems and working in a fast-paced environment
Strong interpersonal skills, experience managing conflict, and decision making
Demonstrate a high analytical ability to solve complex problems
Basic computer proficiency (i.e. Microsoft Word, typing, email etc.)
Must be willing to work rotating shifts
Must be available and willing to regularly work weekends to meet production demands, including approximately two weekends per month
18 years of age or older
High School Diploma or equivalent
What Can Give You a Competitive Edge (Preferred Qualifications):
Hands-on technical experience in a manufacturing setting, with exposure to general assembly, material, supply chain, final repair, paint, body shop, and quality processes.
Knowledge of Continuous Improvement Processes (CIP)
Proficient in Throughput Improvement Process (TIP)
Experience supervising employees in a union environment
Experience implementing Built-in-Quality Initiatives
Red X & DFSS Certification
Lean Manufacturing experience
Knowledge of timekeeping systems
This job is not eligible for relocation benefits. Any relocation costs would be the responsibility of the selected candidate.
]]>
Primary Responsibilities:
Interested individuals must meet the following minimum qualifications:
General Motors UAW hourly employment offers a very competitive compensation and benefit package. An annual incentive payout is also available, as qualified.
Relocation and travel expenses will be the responsibility of the applicant.
If you are a current employee of General Motors working in a per diem, hourly, or regular salaried role, you must apply through the internal careers page. Please navigate to https://workday.gm.com and search for GM Find Jobs.
The General Motors Manufacturing Group is seeking to identify highly motivated and qualified individuals for current and potential future opportunities as a Group Leader. In anticipation of these openings becoming available, we welcome you to apply so we can begin the pre-screening and interview process.
Onsite: This role is categorized as onsite. This means the successful candidate is expected to report to Toledo on a full-time basis.
The Role:
The Maintenance Group Leader will be responsible for leading a group of skilled, hourly workers to troubleshoot and repair complex equipment and processes. This position requires the ongoing application and enforcement of the National and Local UAW Agreements. Candidates must possess technical expertise to oversee and support maintenance operations, exercising independent judgment within the framework of Global Manufacturing Systems, with a focus on Safety, People, Quality, Responsiveness, Cost, and Environment (SPQRCE)
Selected candidates will gain the chance to develop new skills while contributing to the advancement of manufacturing processes that support the groundbreaking shift toward electric and autonomous vehicles.
What You'll Do (Responsibilities):
Analyze and respond promptly to the manufacturing daily plan, making necessary adjustments to operations as required
Manage multiple tasks in a fast-paced environment with competing priorities
Drive accountability through people and processes which may require difficult conversations
Conduct appropriate checks and tests, and communicate evaluation of results
Proactively offers solutions to operational or technical issues
Perform preventative maintenance and diagnosis of equipment malfunctions
Maintains productivity and quality in line with organizational standards
Implement divisional and corporate policies and safety and good housekeeping practices
Maintain frequent contact and collaboration with others outside of the work group
Supervises the efficient use of labor, inventory, and machinery
Establish a course of action to accomplish completion of the job and/or project
Specific physical requirements of the position include the ability to:
Work in a loud manufacturing environment that may not be climate controlled (conditions can be hot or cold)
Possess good physical stamina and coordination to frequently and repetitively:
Bend, twist, kneel, crouch and reach to perform work
Lift or carry materials weighing up to 15 lbs. and periodically carry or lift materials weighing up to 40 lbs.
Walk and stand for prolonged periods of time
Occasionally sit, climb (including ladders and lifts) and drive vehicles and equipment
Read standardized work instructions, operate machines and tools, and perform quality inspections
Promptly detect and respond to safety instructions, alarms, and signals
Wear personal protective equipment, for example: safety glasses, gloves, hats, ear plugs, and safety shoes
Your Skills and Abilities (Required Qualifications):
One year of direct team supervisory experience or at least 5 months as an internal GM per diem group leader
Experience reading and understanding electrical, pneumatic, and hydraulic blueprints
Experience solving complex problems and working in a fast-paced environment
Strong interpersonal skills, experience managing conflict and decision making
Experience managing, leading people, and addressing performance concerns
Demonstrate a high analytical ability to solve complex problems
Basic computer proficiency (i.e., Microsoft Word, typing, email, etc.)
Must be willing to work weekends and rotating shifts
18 years of age or older
High School Diploma or equivalent
What Can Give You a Competitive Edge (Preferred Qualifications):
Strong critical thinking and analytical skills
Experience working on multiple projects simultaneously
Willingness to ask questions, take initiative and be resourceful
High level of integrity, ability to deal with ambiguity, self-directed
Experience collaborating across multiple functions within a manufacturing setting
The General Motors Manufacturing Group is seeking to identify highly motivated and qualified individuals for current and potential future opportunities as a Group Leader. In anticipation of these openings becoming available, we welcome you to apply so we can begin the pre-screening and interview process.
Onsite: This role is categorized as onsite. This means the successful candidate is expected to report to Flint, Michigan on a full-time basis.
The Role:
The Maintenance Group Leader will be responsible for leading a group of skilled, hourly workers to troubleshoot and repair complex equipment and processes. This position requires the ongoing application and enforcement of the National and Local UAW Agreements. Candidates must possess technical expertise to oversee and support maintenance operations, exercising independent judgment within the framework of Global Manufacturing Systems, with a focus on Safety, People, Quality, Responsiveness, Cost, and Environment (SPQRCE)
Selected candidates will gain the chance to develop new skills while contributing to the advancement of manufacturing processes that support the groundbreaking shift toward electric and autonomous vehicles.
What You'll Do (Responsibilities):
Specific physical requirements of the position include the ability to:
Your Skills and Abilities (Required Qualifications):
What Can Give You a Competitive Edge (Preferred Qualifications):
Experience supervising employees in a union environment
Strong critical thinking and analytical skills
Experience working on multiple projects simultaneously
Willingness to ask questions, take initiative and be resourceful
High level of integrity, ability to deal with ambiguity, self-directed
Experience working with CNC Technologies including machining centers, lasers, and robotics
Experience collaborating across multiple functions within a manufacturing setting
Experience reading and understanding electrical, pneumatic, and hydraulic blueprints
At General Motors, our product teams are redefining mobility. Through a human-centered design process, we create vehicles and experiences that are designed not just to be seen, but to be felt. We’re turning today’s impossible into tomorrow’s standard —from breakthrough hardware and battery systems to intuitive design, intelligent software, and next-generation safety and entertainment features.
Every day, our products move millions of people as we aim to make driving safer, smarter, and more connected, shaping the future of transportation on a global scale.
Are you ready to redefine mobility and shape the future of autonomous transportation? As a Staff Research Scientist specializing in Vision-Language Models (VLMs), Vision-Language-Action models (VLAs), and Onboard Foundational Models, you will advance the frontier of artificial intelligence to solve the most challenging problems in autonomous driving.
In this role, you will bridge the gap between large-scale multimodal foundational AI and real-time physical systems. You will lead the design, training, and optimization of state-of-the-art models that allow vehicles to deeply understand complex visual scenes, reason through open-ended scenarios, and translate multimodal inputs directly into safe, actionable driving decisions. Crucially, your work will focus not just on cloud-scale intelligence, but on pioneering the techniques required to compress, quantize, and deploy these massive architectures directly onto resource-constrained onboard vehicle hardware. You will help shape strategic technical directions, mentor a world-class team of engineers, and represent our organization at top global artificial intelligence conferences.
What You’ll Do
Research, design, and prototype advanced Vision-Language Models and Vision-Language-Action foundational models tailored for real-time semantic understanding and behavioral prediction in autonomous driving.
Drive the technical strategy for onboard model optimization, leading initiatives in model quantization, pruning, knowledge distillation, and compilation to ensure high-parameter models execute with ultra-low latency on vehicle edge hardware.
Advance multimodal alignment techniques, ensuring seamless integration of camera, radar, LiDAR, and textual/logical prompts into unified foundational architectures.
Influence technical roadmaps and shape strategic machine learning priorities that align with safety requirements, core product milestones, and next-generation vehicle launches.
Provide technical mentorship and long-term vision to a multidisciplinary group of machine learning engineers, software developers, and hardware specialists.
Foster internal innovation by collaborating closely with perception, planning, and infrastructure teams to integrate foundational models into the core autonomous software stack.
Represent the company externally to the global scientific community by publishing original research, securing patents, and presenting at top-tier artificial intelligence and robotics conferences.
Your Skills & Abilities (Required Qualifications)
Ph.D. in Machine Learning, Robotics, Computer Science, Electrical Engineering, or a related technical field.
5+ years of experience in AI/ML research and applied development.
Deep expertise in modern ML architectures (transformers, generative AI, multimodal systems).
Strong programming skills in Python.
Excellent communication, collaboration, and mentoring abilities, comfortable influencing technical strategy and guiding ML excellence across the organization.
What Will Give You A Competitive Edge (Preferred Qualifications)
Demonstrated research impact in AI/ML technologies either through important publications in top conferences or demonstrated contribution to industry leading systems.
AV/ADAS experience
Remote: This role is based remotely but if you live within a 50-mile radius of Mountain View, you are expected to report to that location three times a week, at minimum.
Compensation : The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of New York, Colorado, California, or Washington.
The salary range for this role is $218,800.00 to $335,300.00. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.
Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.
Benefits:
Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.
This job may be eligible for relocation benefits.
Company Vehicle: Upon successful completion of a motor vehicle report review, you will be eligible to participate in a company vehicle evaluation program, through which you will be assigned a General Motors vehicle to drive and evaluate. Note: program participants are required to purchase/lease a qualifying GM vehicle every four years unless one of a limited number of exceptions applies.
#GM-AV-1
At General Motors, our product teams are redefining mobility. Through a human-centered design process, we create vehicles and experiences that are designed not just to be seen, but to be felt. We’re turning today’s impossible into tomorrow’s standard —from breakthrough hardware and battery systems to intuitive design, intelligent software, and next-generation safety and entertainment features.
Every day, our products move millions of people as we aim to make driving safer, smarter, and more connected, shaping the future of transportation on a global scale
The Role
Engines, Powertrain, and Transmission control modules and will be the global voice for technical expertise for these components and/or subsystems. You’ll establish and maintain a clear strategy for the engine/transmission controllers and ensure reuse and technical excellence of engineering solutions and components. You’ll work with the key stakeholders from execution, performance, and support teams to ensure common implementation of strategy and to promote technical knowledge for the components.
We are seeking an Engineer with demonstrated technical skills to develop winning/robust BOM strategies, oversee solutions, escalate issues, and deliver continuous improvement for the Engine/Powertrain and Transmission!
Job Responsibilities
Lead the controller technical review process to assure compliance with global requirements
Mentor DRE’s in common processes & act to support DFMEA reviews
Lead in the development of an Inhouse Designed Controller. You will need to interface across the Compute & Connectivity Hardware as well as the Propulsion and Chassis Embedded Controls Technology Management Team
Maintain and refresh BOM Strategies
Intimate knowledge of hardware and software interfaces
Deliver BOM which meets Imperatives (Cost, Mass, Investment, Quality)
Develop Sourcing Strategies. Support Supplier Development and Qualification (TASL)
Maintain Global requirements (SSTS & CTRS Templates, etc.)
Create and Maintain Best Practices and Inherent Criteria
Approve BOM Picks and assure math data availability
Support PRTS Issue Resolution
Perform/lead read across for Safety Tether PRTS
Perform/lead read across for NHTSA recalls of competitors
Support Product Investigations (SFI Process)
Support Cost Reduction
Create ICDe and ICDm Templates
Support CR/DNs
Provide technical leadership for troubleshooting activities
Leads technical support to manufacturing engineering and production facilities
Support global supplier evaluation and localization process
Lead new designs/major redesigns as technical experts to ensure success, and monitor global BOD/BOM/BOP compatibility
Lead the controller technical review process to assure compliance with global requirements
Provide technical guidance for current development or production issues.
Participate as a co-leader in the Controller Hardware CCB
HW Subject Matter Expert to support software, calibration, and integration issues
Support ATW/workgroups for regulations updates.
Act as the hardware voice related to new functionality to meet emissions upgrades.
Your Skills & Abilities (Required Qualifications)
Bachelor of Science in Mechanical Engineering, Electrical Engineering, Computer Science, Math, Chemistry, Physics or equivalent
Minimum of 10 years of experience in applying microprocessor-based controllers to automotive vehicle electrical systems.
In-depth knowledge of serial data communications
In-depth knowledge of requirements engineering process (FMEA, Preliminary Hazard Analyses)
In-depth knowledge of verification and validation processes
In-depth knowledge of embedded software development, testing and associated tools
Understanding of hardware design and failure modes
Understanding of engineering theory and principles of operation of mechanical/electrical mechanisms
Thorough knowledge of design development and test engineering, manufacturing and assembly operations, engineering processes and procedures.
Thorough knowledge of vehicle service procedures.
Highly developed oral and written communications skills
Demonstrated ability to work cross-functionally within Electrical and across other SMTs.
High level of interpersonal skills to work effectively with others, motivate employees, and elicit work output
Very high level of analytical problem-solving skills where problems are very unusual and extremely difficult.
What Will Give You a Competitive Edge (Preferred Qualifications)
DFSS Certification
Experience in Engine/Transmission Controller Electronics
5+ years of experience in Engine/Transmission/Chassis Controller Electronics
MS in Mechanical Engineering, Electrical Engineering, Computer Engineering, Computer Science, Math, Chemistry, Physics, or equivalent
DFSS Master Black Belt Certification
Knowledge of SAFe Practices
In-depth knowledge of verification and validation processes
#LI-SW1
Why Join Us
At GM, you’ll be at the forefront of shaping the future of connected, electric, and autonomous vehicles . You’ll work on cutting-edge antenna systems alongside some of the brightest minds in automotive and RF technology — with the resources to make an impact at scale. We offer competitive compensation, growth opportunities, and a culture that values innovation, inclusion, and forward thinking . This is a unique opportunity to lead, innovate, and help millions of customers around the world stay connected on the move .
Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.
Benefits : GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.
Diversity Information
General Motors is committed to being a workplace that is not only free of discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that workforce diversity creates an environment in which our employees can thrive and develop better products for our customers. We understand and embrace the variety through which people gain experiences whether through professional, personal, educational, or volunteer opportunities.
]]>WHY: Reduce vehicle yard holds and improve product quality by ensuring timely, accurate deployment of ECU software across manufacturing plants and yard operations—enabling vehicles to meet release and readiness targets.
WHAT: Lead a team responsible for executing ECU software deployment across GM manufacturing sites—owning planning, coordination, and execution to ensure consistent, high-quality results at scale.
HOW: Lead end-to-end deployment operations—planning events, resourcing teams, and overseeing execution across multiple sites—while partnering with engineering and manufacturing to resolve issues in real time, standardize processes, and continuously improve deployment performance.
This role is ideal for technical leads or supervisors with experience in vehicle diagnostics, ECU flashing, or manufacturing operations who enjoy leading teams in fast-paced, hands-on environments and driving execution across multiple sites.
Work Arrangement - Onsite
The successful candidate is expected to report to the GMNA plants, warehouses, and Warren Tech Center on a full-time basis. This role requires 50% or greater domestic and international travel.
What You’ll Do (Responsibilities):
Your Skills & Abilities (Required Qualifications)
What Could Give You a Competitive Edge (Preferred Qualifications)
WHY: The purpose of this role is to lead and execute yard campaigns for finished vehicles and components at assembly sites, vehicle distribution centers, and repair sites throughout North America that need skilled resources to manage the workload. This position is critical to ensure GM continues to deliver high quality vehicles and services to our customers.
WHAT: As a Reflash & Repair Execution Lead, you will update vehicle systems and components at a rate that sustains production operations and ships vehicles direct to commerce. Execution is typically a high-volume operation working with key third-party providers. Campaigns will vary across all vehicles systems with significant focus on software updates, component inspection, and some replacement.
HOW: Motivate teams & execute daily targets for our manufacturing leadership and vehicle assembly sites in a manner that delivers quality products on time to our dealers and customers.
Work Arrangement - Onsite
The successful candidate is expected to report to the Warren Tech Center on a full-time basis. This role requires up to 75% of domestic and international travel.
This position may be filled with a Senior Engineer or Non-Senior Engineer. The level for this role will be determined based on the selected candidate’s qualifications, skills, and experience.
Level 7 (senior) Responsibilities:
Level 6 (non-senior) Responsibilities:
Level 7 (senior) Required Qualifications:
Level 6 (non-senior) Required Qualifications:
Preferred Qualifications:
The Construction Project Manager provides construction project management services for manufacturing plants (assembly, stamping, powertrain, casting, and paint), non-manufacturing sites and/or PDPM projects by overseeing all aspects of delivering completed projects.
Responsibilities include the completion of all work including site/civil, buildings, and utilities infrastructure for assigned projects from funding approval through stakeholder occupancy.
What You'll Do:
Your Skills & Abilities (Required Qualifications):
REQUIREMENTS: Bachelor’s degree in Electrical Engineering, Electronic Engineering, Computer Engineering, Mechanical Engineering, or related field of study. Two (2) years of experience as a Software Engineer or related occupation. Two (2) years of experience with the following: Hardware-In-the-Loop systems for developing real-time controls; Matlab and Simulink modeling; Vehicle and bench electrical troubleshooting; CAN vehicle communication system and CAN based monitoring tools including Vector and Intrepid; and Electrical Test and Development, and Vehicle Electrical Architecture.
#LI-DNI
]]>General Motors is a global leader in advanced driver assistance. With Super Cruise hands-free technology in more than 500,000 Super Cruise–equipped vehicles on the road and over 700 million hands-free miles driven, GM is proving that automation can be trusted, intuitive, and helpful. GM has the global reach to bring cutting-edge advances to everyday drivers at unprecedented scale. Join us to help deliver the next generation of safe and delightful personal autonomous vehicle experiences.
About the Organization
The Evaluation team builds and evolves the evaluation ecosystem that powers the development and scaling of GM’s autonomous driving technology. We develop metrics, automated workflows, and analysis approaches that enable data-driven decisions across AV development and verification. Partnering with Autonomy, Simulation, Systems, and Safety teams, we act as system-level integrators and arbiters of end-to-end AV quality.
We own large-scale test scenario libraries, continuous evaluation pipelines, and critical risk assessment and release-gating components, treating road testing, data mining, training, and metrics as first-class use cases in a unified analytics framework. By joining this team, you will help shape GM’s core evaluation platforms, turn system-level results into clear feedback for engineering and leadership, and help accelerate validated AV deployment at scale.
What You’ll Do (Responsibilities)
Architect and implement metrics and analyses to introspect autonomous driving software performance at interfaces across the autonomy stack; partner closely with autonomy developers and systems engineers.
Design and implement analysis algorithms that summarize, aggregate, and cluster metrics produced by simulations and on-road runs of the autonomy stack.
Propose and develop new statistical and ML methods to quantify performance and identify patterns of system and subsystem behavior across diverse scenes and operational domains.
Develop and apply methods to introspect the operation of ML components in the autonomy stack, including evaluation of perception, prediction, and planning models.
Build and maintain autonomy evaluation dashboards and interactive reports that provide clear, explainable insights (e.g., trend analysis, drift detection, scenario coverage) for development, verification, and leadership.
Leverage vision-language models (VLMs) and large language models (LLMs), where appropriate, to classify autonomy performance, identify critical scenarios, and prioritize validation efforts, integrating human-in-the-loop review where needed.
Maintain a high technical standard through thoughtful system design, code reviews, testing, observability, and adherence to software-engineering best practices.
Interface with cross-organizational partners to articulate requirements, resolve handoff issues, and share best practices around evaluation, metrics, and experiment design.
Your Skills & Abilities (Required Qualifications)
5+ years of applied experience with robotics or autonomous systems software (e.g., sensors, perception, prediction, planning, or control), data analysis, ML evaluation, or autonomy analytics.
3+ years evaluating dynamic systems using numerical and/or ML approaches, including time-series data, state derivatives, dynamics, and interconnected subsystems.
Strong proficiency developing Python in production team environments, including testing, performance, and code review.
Proficiency with Pandas, NumPy, SciPy, and plotting/visualization libraries for large-scale data analysis and reporting.
Comfort working with C++ codebases, including reading, debugging, and instrumenting core algorithms.
A strong curiosity to question anomalous data and systematically root-cause discrepancies.
Demonstrated technical leadership, including driving architectural decisions, influencing cross-team designs, and owning complex features or services end-to-end.
Bachelor’s, Master’s, or PhD in C omputer Science, Robotics, Mechanical or Aerospace Engineering, Machine Learning, Data Science, or a related field, or equivalent practical experience
What Will Give You a Competitive Edge (Preferred Qualifications)
Experience in a utonomous driving or field robotics, including visualizing and interpreting results from simulation and field experiments.
Experience evaluating robotics or AV systems using sensor data (e.g., camera, lidar, radar) and large-scale time-series analysis.
Strong intuition for data visualization and the ability to decompose high-dimensional metrics into clear, trustworthy, and consumable views for technical and non-technical audiences.
Familiarity with statistical modeling, experimental design, and hypothesis testing for autonomy or simulation evaluation; fluency with Pandas, NumPy, SciPy, and visualization tools.
Proficiency in C++ and SQL; experience shaping logging, data schemas, and evaluation pipelines for large-scale autonomy testing and performance monitoring.
Experience working with ROS or similar robotics/IPC frameworks, log pipelines, and large-scale experiment databases or evaluation platforms.
Prior development experience with computational geometry, linear algebra, PyTorch, and ML techniques applied to perception, prediction, planning, or control.
Background in modeling agent interaction and contributing to release gating and safety decisions for autonomy systems.
Experience leveraging AI-assisted development and analytics tools to improve productivity and evaluation coverage.
Hybrid/Remote:
This role can be based remotely but if you live within a 50-mile radius of Sunnyvale or Mountain View you are expected to report to that location three times per week.
*This job may be eligible for relocation benefits if you are interested in relocating to the bay area.
Compensation:
The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position, as well as geography of the selected candidate.
The salary range for this role is : $144,700 - $221,400. The actual base compensation within the identified range will vary based on factors relevant to the position.
Bonus Potential:
An incentive pay program offers payouts based on company performance, job level, and individual performance.
Benefits:
GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays.
#LI-TO1
We're looking for a hands-on Staff Data Engineer to build the next generation of telematics data products that power analytics, AI, and decision-making across the enterprise.
This role sits at the intersection of data architecture, analytics, and platform engineering. Success isn't measured by pipelines alone—it's about creating trusted, reusable, analytics-ready data products that make complex telemetry data easier to discover, understand, and use at scale.
You'll help define the foundational datasets, shared metrics, and curated data products that enable teams across engineering, product, quality, safety, and operations to unlock value from connected vehicle data.
Design and build reusable telematics data products that make analytics faster, simpler, and more scalable across the enterprise
Design canonical data products that make telematics data easier to understand, join, and reuse
Build curated analytics-ready datasets that standardize metrics, aggregations, and business logic across teams
Turn repeated analytical work into scalable, reusable data products
Use data usage patterns and adoption signals to help prioritize the data product roadmap
Design and implement scalable solutions in Azure Databricks
Improve performance, scalability, reliability, and cost efficiency
Enable self-service analytics by making data easier to discover, trust, and consume
Build data products that support analytics, machine learning, and AI use cases
This is an opportunity to help define how a large-scale telematics platform supports analytics, AI, and enterprise decision-making.
The data products you build will help teams answer questions such as:
How many miles were driven with Super Cruise last week?
Which vehicle signals are most correlated with battery-related warranty events?
How are connected services performing across vehicle programs?
What emerging trends are appearing across EV systems, charging, and battery health?
Which ADAS and safety systems are generating the highest diagnostic or service activity?
Where should the next wave of EV charging infrastructure be deployed?
How can telemetry data improve product quality, warranty performance, and future vehicle development?
You'll help move the organization from custom analytics and duplicated logic toward trusted, reusable data products that scale across the enterprise.
Bachelor's degree in Computer Science, Data Engineering, Software Engineering, Information Systems, Mathematics, Statistics, or a related technical field
8+ years of experience in data engineering or analytics platforms, including experience operating at a senior or staff level with responsibility for architecture, technical direction, and cross-team impact
Deep hands-on experience with Databricks
Strong data modeling, semantic design, and data architecture skills
Expertise in SQL, Spark, and distributed data processing
Experience designing solutions for performance, scalability, reliability, and cost optimization
Strong understanding of how analysts, engineers, data scientists, and ML practitioners consume data
Experience working with IoT, telemetry, event-stream, or sensor data
Experience enabling AI, machine learning, and advanced analytics through governed and reusable data products
Builder mindset with strong technical judgment and a bias toward simplification
What Can Give You a Competitive Advantage (Preferred Qualifications)
Master's degree in Computer Science, Data Engineering, Data Science, Analytics, or a related discipline
Ability to think deeply about:
How data should be modeled
How analytics should work
How reusable data products should be designed
How platform capabilities can reduce duplication and wasted effort
How usage patterns should drive future investments
This job may be eligible for relocation benefits.
Company Vehicle: Upon successful completion of a motor vehicle report review, you will be eligible to participate in a company vehicle evaluation program, through which you will be assigned a General Motors vehicle to drive and evaluate. Note: program participants are required to purchase/lease a qualifying GM vehicle every four years unless one of a limited number of exceptions applies.
Compensation:
GM DOES NOT PROVIDE IMMIGRATION-RELATED SPONSORSHIP FOR THIS ROLE. DO NOT APPLY FOR THIS ROLE IF YOU WILL NEED GM IMMIGRATION SPONSORSHIP NOW OR IN THE FUTURE. THIS INCLUDES DIRECT COMPANY SPONSORSHIP, ENTRY OF GM AS THE IMMIGRATION EMPLOYER OF RECORD ON A GOVERNMENT FORM, AND ANY WORK AUTHORIZATION REQUIRING A WRITTEN SUBMISSION OR OTHER IMMIGRATION SUPPORT FROM THE COMPANY (e.g., H-1B, OPT, STEM OPT, CPT, TN, J-1, etc.)
#LI-CC1
]]>This role is categorized as on-site. This means the successful candidate is expected to report to Advance Technical Center in Shanghai, China full time.
The Role -
This role will act as BSW expert to support critical projects.
Your Skills & Abilities (Required Qualifications)
The General Motors Manufacturing Group is seeking to identify highly motivated and qualified individuals for current and potential future opportunities as a Group Leader. In anticipation of these openings becoming available, we welcome you to apply so we can begin the pre-screening and interview process.
The Role:
As a Group Leader in Production, Quality, or Global Supply Chain (GSC), you will be responsible for leading teams of employees or technical personnel to drive operational excellence across manufacturing processes. This includes managing daily operations, developing and improving business processes, and fostering a culture of teamwork and collaboration.
In this role, you may oversee production activities, quality assurance, inspection, problem-solving, and GM Built-in-Quality initiatives. You will be expected to apply independent judgment within the framework of Global Manufacturing Systems, with a strong focus on Safety, People, Quality, Responsiveness, Cost, and Environment (SPQRCE).
Selected candidates will gain the chance to develop new skills while contributing to the advancement of manufacturing processes that support the groundbreaking shift toward electric and autonomous vehicles.
What You'll Do (Responsibilities):
Analyze and respond promptly to the manufacturing daily plan, making necessary adjustments to operations as required
Manage multiple tasks in a fast-paced environment with competing priorities
Possess the experience to manage change and navigate ambiguity
Drive accountability through people and processes which may require difficult conversations
Specific physical requirements of the position include the ability to:
Work in a loud manufacturing environment that may not be climate controlled (conditions can be hot or cold)
Possess good physical stamina and coordination to frequently and repetitively:
Bend, twist, kneel, crouch and reach to perform work
Lift or carry materials weighing up to 15 lbs. and periodically carry or lift materials weighing up to 40 lbs.
Walk and stand for prolonged periods of time
Occasionally sit, climb (including ladders and lifts) and drive vehicles and equipment
Read standardized work instructions, operate machines and tools, and perform quality inspections
Promptly detect and respond to safety instructions, alarms, and signals
Wear personal protective equipment, for example: safety glasses, gloves, hats, ear plugs, and safety shoes
Your Skills and Abilities (Required Qualifications):
One year of direct supervisory experience or at least 5 months as an internal GM per diem group leader
Experience managing, leading people, and addressing performance concerns
Experience solving complex problems and working in a fast-paced environment
Strong interpersonal skills, experience managing conflict, and decision making
Demonstrate a high analytical ability to solve complex problems
Basic computer proficiency (i.e. Microsoft Word, typing, email etc.)
18 years of age or older
High School Diploma or equivalent
What Can Give You a Competitive Edge (Preferred Qualifications):
Knowledge of Continuous Improvement Processes (CIP)
Proficient in Throughput Improvement Process (TIP)
Advanced understanding of manufacturing and assembly processes
Experience supervising employees in a union environment
Supply Chain or Quality Experience
Experience implementing Built-in-Quality Initiatives
Red X & DFSS Certification
Lean Manufacturing experience
Knowledge of timekeeping systems
REQUIREMENTS: Bachelor’s degree in Computer Science, Computer Engineering, Electrical Engineering, Software Engineering, Mechanical Engineering, or related field of study and Five (5) years of experience as an Integration Engineer, Software Engineer, Controls Engineer, or related role. Five (5) years of experience with the following: Software integration, CI, CD, and DevOps; Tooling, infrastructure solutions and automated testing; Project management; Programming using C, C++, and Assembly; Scripting languages including Perl and Python; Operating systems including Unix, Linux, and RTOS for embedded system; Instrumentation including INCA, in circuit emulators, dSpace; and Configuration management system including Git and build tools using Jenkins and eflow.
#LI-DNI
]]>What You’ll Do
Lead the development and refinement of NURBS for complex vehicle interior and exterior components.
Translate design themes, sketches, and engineering requirements into accurate, production-feasible digital surfaces.
Evaluate surface quality, continuity, highlights, and feasibility; provide technical direction on complex surface issues.
Lead collaboration with design, engineering, manufacturing, and supplier teams to resolve surface and integration issues.
Own surface development data and releases for reviews, development milestones, and downstream processes.
Communicate technical recommendations, risks, timing, and tradeoffs to program stakeholders and Sculpting Leadership.
Mentor sculptors, support program execution, and advance GM Global Design standards, best practices, technologies, and workflows.
Your Skills & Abilities (Required Qualifications)
Bachelor’s degree in transportation design, industrial design, mechanical engineering, or a related field; equivalent experience may be considered.
5 or more years of experience in automotive digital sculpting, surface development, or a related discipline.
Advanced proficiency with Alias, NX, or comparable NURBS-based digital modeling tools.
Advanced knowledge of surface evaluation, design intent interpretation, production feasibility, and surface quality standards.
Demonstrated ability to lead cross-functional technical problem-solving and deliver work to accelerated program milestones.
Strong oral, written, and presentation skills, with the ability to communicate technical information to varied audiences.
Ability to mentor others and lead program execution when assigned by Sculpting Leadership.
What Will Give You A Competitive Edge (Preferred Qualifications)
Experience developing automotive interior or exterior surfaces through production.
Experience with Teamcenter or comparable product data management systems.
Knowledge of automotive product development processes, GVDP modeling standards, surface quality standards, and manufacturing considerations.
Experience leading multiple vehicle programs or implementing modeling processes, technical best practices, workflows, or new digital sculpting technologies.
WHY: The purpose of this role is to develop tooling and test programs for finished vehicle yard reflash activities, enabling efficient, scalable global execution of product software updates.
WHAT: As a Software Reflash Technical Specialist, you will prepare, validate, and maintain tooling and configurations that enable efficient, reliable execution of software reflash events.
HOW: Lead end-to-end readiness of reflash tooling and test configurations, partnering closely with software engineering, manufacturing, and execution teams to build, validate, and continuously improve reliable, yard-ready solutions that enable on-time software updates and improve the customer experience at delivery.
Work Arrangement - Onsite
The successful candidate is expected to report to the Warren Tech Center on a full-time basis. This role requires up to 50% domestic and international travel.
What You’ll Do (Responsibilities):
Your Skills and Abilities (Required Qualifications )
What Will Give You a Competitive Edge (Preferred Qualifications)
REQUIREMENTS: Bachelor's degree in Electronic Engineering, Software Engineering, Electrical Engineering, or related field of study and Five (5) years of experience as a Senior Software Engineer, Embedded Software Engineer, Assistant Engineer, related occupation. OR Master’s degree in Electronic Engineering, Software Engineering, Electrical Engineering, or related field of study and Three (3) years of experience as a Senior Software Engineer, Embedded Software Engineer, Assistant Engineer, related occupation. Three (3) years of experience in the following: Automotive engineering experience including embedded controls, requirements development, architecture development, and systems engineering. Two (2) years of experience in the following: Defining and troubleshooting interactions between hardware and embedded controls; and Developing requirements at the system or subsystem level. One (1) year of experience in the following: Design experience with automotive low voltage electric power related components, controls, subsystems, and architecture.
#LI-DNI
]]>Hybrid: This role is categorized as hybrid. This means the successful candidate is expected to report to Milford, Michigan three times per week, at minimum.
The Role:
Here at General Motors, we are looking for a hard-working person who enjoys taking on challenges and following through with robust solutions to join our Controls and Software team! Scrum Leaders are the Lean-Agile leader and team coach, responsible for facilitating agile execution within the Scrum team and supporting the delivery of value across Engine Controls. This role requires a balance of technical acumen, team facilitation, and relentless improvement, enabling your team to meet delivery goals with high quality and efficiency.
Scrum Leaders act as process champions guiding their team to adopt and sustain agile practices, eliminate impediments, champion quality initiatives, and foster a culture of trust, ownership, and continuous improvement. You will collaborate closely with the Scrum Manager/Product Owner, ART leadership, and cross-functional partners to help the team deliver innovative solutions and maintain technical integrity.
What You'll Do:
Serve as Subject Matter Expert (SME) for scrum team’s product content.
Collaborate with the Scrum Manager to create a team culture that encourages a high degree of constructive collaboration, healthy relationships, and a shared accountability for delivering products with quality and per agreed upon timing commitments.
Facilitate Agile ceremonies: iteration planning, daily stand-ups, iteration reviews, and retrospectives.
Partner with Scrum Manager to align team objectives to ART-level goals for each Program Increment (PI) including unplanned work when necessary.
Drive consistent use of Agile practices including WIP limits, Plan-Do-Check-Adjust (PDCA), Innovation & Planning (IP), and feedback loops.
Coordinate with the ART Leadership to prepare for PI Planning, System Demos, and Inspect & Adapt (I&A) workshops.
Serve as owner of the team’s Kanban board, helping visualize and manage team workflow.
Act as a Team Leader & Coach.
Support and guide the team in writing well-formed stories with clear acceptance criteria and normalized estimates.
Promote disciplined engineering practices such as BDD, TDD, and continuous integration/testing.
Mentor team members through regular check-ins, career coaching, and growth opportunities.
Lead team retrospectives, driving closure of improvement actions and fostering a culture of self-reflection and accountability.
Identify and eliminate impediments that block team progress; escalate where necessary.
Coordinate with cross-scrum teams and departments to resolve dependencies and align objectives.
Continuously monitor and improve team KPIs, including velocity, quality, and predictability.
Support adherence to the Definition of Done (DoD) and team alignment with Feature Acceptance Criteria.
Foster a culture of built-in quality and continuous improvement.
Ensure testing strategies (unit, integration, system-level) are in place and executed.
Collaborate with technical leaders to maintain the integrity of controls and diagnostics features.
Lead efforts to improve story flow, reduce defects, and build a resilient, adaptive team.
Participate in Scrum of Scrums to share best practices and systemic impediments.
Actively collaborate with stakeholders across ART Business Owner, Program Managers, SSLE, FSA, Calibration, and more.
Your Skills & Abilities (Required Qualifications):
Bachelor of Science degree in one of the following disciplines: Electrical Engineering, Mechanical Engineering, Computer Engineering, Chemical Engineering, Computer Science, Mathematics, or Physics.
Minimum 5 years of experience in embedded software development. Including:
Proven understanding of Agile principles and ability to coach others in their application.
Experience leading or facilitating engineering teams through complex software delivery efforts.
Strong communication, facilitation, and interpersonal skills.
Ability to navigate ambiguity, resolve conflict, and drive alignment across multiple stakeholders.
High level of analytical ability where problems are unusual and difficult.
Demonstrated proficiency in project management skills
Experienced at planning, preparing for and leading meetings
Effective interpersonal skills that focus and influence others, including those which may have priority differences with yours.
Understanding of Embedded Controls Development & Delivery Process.
Demonstrated ability to manage multiple complex projects and assignments with autonomy and accountability for results.
Consistent demonstration of innovative thinking that is customer-centric.
Experience with C/C++/Python and MATLAB/Simulink modeling.
What Will Give You A Competitive Edge (Preferred Qualifications):
Master’s degree in a field of Engineering, Mathematics, or Physics.
8+ years of experience in Engine or Transmission Controls and Software development.
Scaled Agile Framework (SAFe) training or certifications.
Experience in the GM component specification and release process.
Experience with customer interface technologies.
Familiarity with GM controls architecture, plant modeling, and SDV.
Experience with diagnostics, engine and transmission development, OBD-II, or ASIL standards.
DFSS Black Belt certification.
Demonstrated ability to work in a Global environment.
Experience in plant modeling and analysis tools, MIL, SIL, HIL Testing.
The Senior Product Owner will lead the product strategy, roadmap, and delivery execution for key GM Motorsports data and analytics products that support Strategy, Vehicle Performance, and Competition Engineering - across NASCAR, IndyCar, and other GM racing programs . The role combines product ownership with scrum leadership responsibilities, partnering closely with motorsports stakeholders and leading cross-functional delivery across the data science and data engineering teams. Direct motorsports experience is not required; success in this role depends on the ability to quickly understand stakeholder needs, translate them into roadmaps and backlog items, and drive high-quality, timely delivery in a complex, fast-paced environment.
Serve as the accountable Product Owner for cross-functional data science and data engineering teams supporting GM Motorsports.
Own and maintain the product vision, roadmap, and prioritized backlog for motorsports analytics and data products, aligning to business strategy and measurable outcomes.
Act as scrum lead for both teams:
Facilitate and continuously improve backlog refinement, sprint planning, sprint reviews, and retrospectives.
Ensure clear, well-defined user stories and acceptance criteria.
Remove impediments and protect the teams’ ability to execute.
Partner closely with motorsport Strategy, Vehicle Performance, and Competition Engineering stakeholders to:
Understand business objectives, workflows, and decision-making needs.
Translate complex requirements into clear, implementable features and experiments.
Weigh scope, risk, and downstream impacts to recommend sequencing and trade-offs.
Collaborate with data scientists, data engineers, architects, and product partners to define solutions that are feasible, scalable, and aligned with enterprise data and AI standards.
Drive cross-functional alignment across multiple groups (e.g., motorsport engineering, IT, security, operations) to ensure dependencies are identified and managed.
Communicate product strategy, priorities, risks, and status effectively:
Provide concise, insights-driven updates and recommendations to senior and executive leadership.
Provide clear context, rationale, and direction to delivery teams.
Apply a disciplined approach to outcome measurement by defining and tracking product KPIs and adoption metrics, and using data and stakeholder feedback to iterate on roadmap and backlog priorities.
Serve as a thought partner on data and AI capabilities, helping stakeholders understand what is possible with modern data science and data engineering platforms.
Model and reinforce GM Behaviors (Win with Integrity, Commit to Customers, Innovate and Embrace Change, Speak Fearlessly, Move with Urgency, Be Inclusive, Lead as One Team, Own the Outcome) in day-to-day work and team interactions.
Provide informal leadership and mentoring to other product owners, analysts, and team members; contribute to improving product and agile practices across the broader organization.
Bachelor’s degree in Engineering, Computer Science, Data/Analytics, Business, or related field; or equivalent experience.
5+ years experience as a product manager, product owner, business analyst, systems analyst, or similar role.
Significant experience in product management / product ownership roles, including:
Defining product vision and multi-release roadmaps .
Managing and prioritizing complex backlogs across multiple stakeholder groups.
Delivering digital/data products in an agile environment.
Demonstrated experience serving as a Product Owner and/or scrum lead for one or more agile teams (e.g., data, analytics, software ).
Proven ability to work cross-functionally and influence without formal authority, including partnering with technical and non-technical stakeholders at multiple levels.
Strong communication skills with a track record of:
Presenting concise, data-informed updates and recommendations to senior leadership.
Translating technical concepts into business-relevant language for non-technical stakeholders.
Providing clear, actionable guidance to development teams.
Familiarity with data science and data engineering concepts (e.g., analytics use cases, data pipelines, model development and deployment, experimentation ) sufficient to:
Ask the right questions.
Understand trade-offs and constraints.
Make informed prioritization decisions.
Demonstrated ability to operate at a senior scope by:
Solving complex, often new problems that require deep experience and strategic thinking.
Leading large or high-visibility initiatives with cross-functional impact.
Mentoring less-experienced colleagues and elevating team practices.
Experience working with and owning data-heavy products or platforms in partnership with data science and/or data engineering teams (e.g., performance analytics, telemetry, operations ), including defining SLAs, data contracts, and quality expectations for downstream consumers.
Familiarity with modern data and analytics technology stacks , ideally including:
Cloud platforms (e.g., Azure ).
Data engineering tools (e.g., Databricks, Spark, modern data pipelines, streaming technologies such as Kafka ).
Analytics / BI / experimentation and ML platforms .
Solid understanding of modern data engineering concepts and patterns ( data lakes/lakehouse, batch and streaming pipelines, warehousing, orchestration, observability ), with the ability to discuss trade-offs with engineers.
Ability to read and reason about technical designs (e.g., high-level schemas, pipeline diagrams, architectural decisions ) and use that understanding to prioritize work, not to implement code hands-on.
Product ownership experience in an engineering-heavy domain (e.g., automotive, mobility, manufacturing, motorsports, aerospace, or similar) , including designing and tracking product KPIs and success metrics for data/analytics products.
Formal agile training or certifications (e.g., CSPO, PSPO, Scrum Master ) and experience tailoring agile practices to complex, multi-team environments.
Demonstrated ability to navigate enterprise processes, governance, and risk while maintaining urgency and forward progress.
Vacancy Status:
This posting is for an existing vacancy within the organization and is open to new applications.
AI Disclosure:
As part of the application process, Artificial Intelligence will be used in the hiring process for this role
Work Arrangement : Hybrid: This role is categorized as hybrid. This means the successful candidate is expected to report to Markham or Oshawa office three times per week, at minimum.
The Role
The Senior Systems Engineer will join the Systems Engineering team within the Device Data Capture and Data Engineering organization and help define, integrate, and ensure validation coverage of end-to-end vehicle data collection capabilities across embedded systems, cloud services, and data platforms. This role is focused on building strong systems engineering foundations for data engineering and data collection capabilities, including end-to-end systems requirements management, system architecture alignment, verification planning, validation coverage and compliance, integration into vehicle programs, performance monitoring, and operational observability. The role will ensure capabilities are defined with clear requirements, traceability, end to end system architecture, measurable verification strategy, and operational visibility.
The successful candidate will serve as a technical systems engineering leader who connects product intent to system behavior, vehicle integration, verification evidence, and operational outcomes. They will collaborate closely with system and software architects, operations, testing, product and program managers, and senior data engineering leadership to ensure capabilities are scalable, observable, compliant, and ready for deployment across vehicle programs.
What You'll Do (Responsibilities)
Lead end-to-end systems requirements management for vehicle data collection and data engineering capabilities, translating product and program needs into clear, testable, and traceable system requirements across vehicle, edge, and cloud components.
Drive systems architecture alignment for DDC capabilities, ensuring requirements, interfaces, operational flows, and deployment models are consistent across embedded agents, gateways, cloud ingestion pipelines, and downstream data platforms.
Own verification planning for new and existing capabilities, including definition of verification strategies, test scopes, entry and exit criteria, coverage expectations, and compliance evidence needed for release readiness and vehicle program integration.
Define and mature systems-level observability requirements so teams can monitor feature performance, fault behavior, service health, configuration uptake, population status, and end-to-end data transport across development, validation, exposure, and production environments.
Establish performance monitoring and capability observability frameworks that make it possible to assess whether features are functioning as expected, whether data sources are producing expected outputs, and whether uploaded data is reaching the intended storage and analytics destinations.
Partner with software, systems, and operations teams to define verification and validation coverage across the DDC capability domains, including logs, metrics, traces, binary files, functional signals, configuration distribution, and vehicle/data lifecycle behaviors.
Ensure robust traceability between capability requirements, architecture decisions, configuration states, deployed campaigns, captured data, and verification evidence so engineering teams can understand what was deployed, where it ran, and under what conditions data was collected.
Support integration of DDC capabilities into vehicle programs by identifying system dependencies, defining readiness criteria, aligning validation plans, and resolving gaps in cross-domain behavior, interfaces, or observability.
Collaborate with operations and cloud teams to ensure configuration, release, exposure, and deployment workflows are reflected in systems requirements and verification plans, especially for staged rollout, safe change management, and auditable deployment outcomes.
Contribute to capability reviews, design reviews, and program milestones by communicating technical risk, verification status, coverage gaps, and system performance trends to engineering leadership and stakeholders.
Mentor other engineers in systems thinking, requirements quality, verification strategy, observability-driven engineering, and cross-functional technical collaboration.
Your Skills & Abilities (Required Qualifications)
Bachelor’s degree in Systems Engineering, Computer Engineering, Electrical Engineering, Software Engineering, Computer Science, or a related technical field.
8+ years of experience in systems engineering, software engineering, validation, or architecture for complex embedded, distributed, or cloud-connected systems.
Strong experience defining and managing end-to-end system requirements for multi-layer systems spanning embedded software, vehicle networks, cloud services, and data platforms.
Experience using requirements and project management tools like DOORS, Rhapsody, Jira, etc.
Demonstrated experience in system architecture, interface definition, and technical decomposition of complex capabilities into verifiable requirements and subsystem responsibilities.
Experience building verification strategies, test plans, and coverage models for integrated systems, including functional, integration, performance, and end-to-end validation.
Strong understanding of observability and performance monitoring concepts, including logs, metrics, traces, service health indicators, and operational dashboards.
Experience working with vehicle or edge data collection systems, telemetry pipelines, or distributed data platforms handling structured and unstructured data.
Ability to collaborate effectively across systems engineering, software, operations, testing, product management, and program management functions.
Strong written and verbal communication skills, with the ability to present technical tradeoffs, requirements, and verification status to senior leadership.
What Can Give You A Competitive Edge ( Preferred Qualifications):
Master’s degree in Systems Engineering, Electrical Engineering, Computer Engineering, Computer Science, or a related field.
Experience in automotive, connected vehicle, or vehicle software development environments.
Experience with observability ecosystems and telemetry standards such as OpenTelemetry, Grafana, Databricks or similar monitoring and analytics platforms.
Experience with configuration, release, deployment, or exposure workflows for vehicle software or fleet data collection capabilities.
Familiarity with cloud platforms and data engineering ecosystems such as Azure, AWS, Databricks, or equivalent large-scale data environments.
Experience with requirements traceability, compliance-oriented verification, and evidence-based release or deployment readiness reviews.
Working knowledge of Agile development processes, CI/CD practices, and cross-functional product delivery in software-defined vehicle organizations.
Experience with Testable Functionality and Rollout Planning (TFRP)
Experience with MBSE methodologies and tools (ex. SysML/UML, Cameo Systems Modeler/MagicDraw, IBM Rhapsody, Sparx Enterprise Architect, Capella, or equivalent tools) to model requirements, interfaces, behaviors, and traceability across vehicle, embedded, cloud, and data platform systems.
Ability to build and apply an MBSE framework for data engineering systems, including modeling standards, architecture and capability decomposition, requirements-to-test traceability, verification mapping, configuration and version management, and integration with tools and workflows such as Jira, Git, requirements management, and observability/test platforms.
Compensation:
The salary range for this role is $115,000 to $164,600. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.
GM DOES NOT PROVIDE IMMIGRATION-RELATED SPONSORSHIP FOR THIS ROLE. DO NOT APPLY FOR THIS ROLE IF YOU WILL NEED GM IMMIGRATION SPONSORSHIP NOW OR IN THE FUTURE.
Benefits Overview
The goal of the General Motors of Canada total rewards program is to support the health and well-being of you and your family. Our comprehensive compensation plan currently includes the following benefits, in addition to many others:
Paid time off including vacation days, holidays, and supplemental benefits for pregnancy, parental and adoption leave;
Healthcare, dental, and vision benefits;
Life insurance plans to cover you and your family;
Company and matching contributions to a Defined Contribution Pension plan to help you save for retirement;
GM Vehicle Purchase Plan for you and your family.
This posting is not for an existing vacancy within the organization and is open to new applications.
AI Disclosure:
As part of the application process, Artificial Intelligence will be used in the hiring process for this role
Work Arrangement: This role is categorized as hybrid. This means the successful candidate is expected to report to the office three days per week, at minimum.
The Role
The Data Engineering organization at General Motors Canada is developing a unified, scalable Vehicle Logging Architecture to enable consistent, secure, and high‑fidelity logging from vehicle ECUs to the cloud. We’re seeking a Staff Embedded Logging Software Developer to design and integrate embedded logging pipelines across diverse in‑vehicle platforms, ensuring cohesive interaction between the control plane (configuration, arbitration, lifecycle) and the data plane (streaming telemetry and file‑based transfer).
The ideal candidate brings deep embedded expertise in C/C++ and Android, a track record of delivering solutions across Android Automotive, Linux, and QNX, and hands‑on experience scaling log data flows from ECU to cloud while meeting strict reliability, performance, and security requirements.
What You'll Do (Responsibilities)
Embedded Platform Logging
Define and implement Platform Log Client behaviors across Android, Linux, and QNX.
Manage volatile buffers and persistent storage (log files and packages), including rotation, compression, retention, and quotas.
Support vehicle‑local data access mechanisms (e.g., USB‑based retrieval) when connectivity is limited.
Control Plane Integration
Build/extend a Log Control Interface Library to handle configuration retrieval, validation, arbitration (including TTL for local overrides), and persistence/fallback to last‑known‑good.
Implement interactions between vehicle log control logic, platform clients, and configuration providers.
Define API contracts for configuration updates, log control, and create/upload package triggers; align with in‑vehicle UX/HMI flows.
Data Plane Integration
Design and operate reliable egress paths for:
o Log Streaming
o File‑based transfer of high‑fidelity artifacts (binary logs, crash dumps, multi‑file log packages).
Specific behaviors to ensure dependable delivery under varying connectivity and resource conditions.
Reliability, Performance & Security
Implement runtime controls to enable/disable logging subsystems locally and remotely
Establish startup sequencing and resource budgets (CPU, memory, flash) that safeguard real‑time and safety‑critical workloads.
Ensure compliance with cybersecurity and data‑protection requirements for both local and remote access to log settings and log data.
Standards, Documentation & Collaboration
Champion consistent logging schemas, naming, and formatting across platforms; drive structured logging best practices.
Produce clear design documents, configuration guides, and support operational runbooks.
Collaborate closely with embedded platform teams, observability/data engineering, product, and validation to deliver end‑to‑end data flows from ECU to cloud.
Your Skills & Abilities (Required Qualifications)
Bachelor’s degree in Computer Science, Engineering, or a related field.
8+ years in embedded software development or systems engineering across Android, Linux, and/or QNX.
Strong coding proficiency in C/C++ and Android Java with experience in platform‑level integrations.
Demonstrated experience integrating with control plane services (configuration retrieval, arbitration, persistence/fallback) and data plane pipelines (streaming and file‑based transfer).
Hands‑on experience with:
o File management workflows; file rotation/compression, retention, and storage quotas.
o Logger ecosystems (e.g., Android logs, QNX slogger2, Linux journal/syslog) and buffer/file management at scale.
Deep understanding of ECU constraints: startup sequencing, CPU/memory/flash budgets, and contention mitigation.
Familiarity with structured logging guidelines and driving cross‑team compliance.
Experience designing metrics/telemetry for operational visibility and remote control at fleet scale.
Clear, concise technical communication; strong cross‑team collaboration and design documentation skills.
What Can Give You a Competitive Advantage (Preferred Qualifications)
Experience designing driver/HMI‑initiated capture flows (e.g., create/upload log packages).
Knowledge of automotive cybersecurity controls and data‑protection processes.
Exposure to OpenTelemetry, protobuf/gRPC, or similar observability/data‑plane technologies.
Contributions to or strong affinity for open‑source observability/logging ecosystems.
Automotive domain familiarity: ECU architectures, SoC platforms, diagnostics, failure/crash analysis
Compensation:
The salary range for this role is $147,000 to $196,600. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.
GM DOES NOT PROVIDE IMMIGRATION-RELATED SPONSORSHIP FOR THIS ROLE. DO NOT APPLY FOR THIS ROLE IF YOU WILL NEED GM IMMIGRATION SPONSORSHIP NOW OR IN THE FUTURE.
Benefits Overview:
The goal of the General Motors of Canada total rewards program is to support the health and well-being of you and your family. Our comprehensive compensation plan currently includes the following benefits, in addition to many others:
Paid time off including vacation days, holidays, and supplemental benefits for pregnancy, parental and adoption leave.
Healthcare, dental, and vision benefits.
Life insurance plans to cover you and your family.
Company and matching contributions to a Defined Contribution Pension plan to help you save for retirement.
GM Vehicle Purchase Plan for you and your family.
Description:
Work with other skilled Pattern Makers in the maintenance and repair of tooling, dies, robotic end of arm tooling and mold tools
Duties and Responsibilities:
Maintain production and non-production tools per Dimensional Checks
Follow instructions on work performed on tooling per Engineering repairs and changes
Demonstrate strong communication skills with Team Members, Management, and Engineering (verbal and written) on work done or requiring completion, to keep tooling routed through the Pattern Shop and work well within a Team
Work with Global Manufacturing System (GMS) teams to maintain Built-In Quality (BIQ) qualification, Team Members, Team Leaders, and Management
Ability to multi-task and safely operate multiple pieces of machinery for optimal efficiency
Obey/Follow all safety procedures and wear required PPE according to all plant and corporate requirements and guidelines
Maintain work area according to GMS Work Place Organization (WPO) standards/Safe work environment
Follow lockout procedures and all safety policies
Blueprint reading – must have sufficient knowledge of shop math to make calculations and draft allowances to maintain dimensions, contours, profiles, etc.
Understanding of materials, tools, and tool applications
Must be proficient in the use of measuring tools/instruments to layout and verify all dimensions and tolerances required of trades
Must have ability to work with diverse groups, be self-motivated and mentor others in problem solving and innovation
Use Safe/Good machine practices, programming code, tooling, set-ups, and inspection techniques, making adjustments/offsets to run parts within dimensional tolerances
Accurately complete all quality and inspection paperwork and documentation
The ability to prioritize multiple jobs/tasks with different deadlines, follow jobs in progress with verbal and written instructions
Consult with and resolve related issues required of tooling changes.
Must have experience running lathes, mills, grinders, drill presses, and other manual/CNC machines and equipment
Must have tig welding experience
Experience using 3D CAD data in CNC programming, with preference in GIBBS/UGNX
Interested individuals must meet the following minimum qualifications:
At least six (6) years of related experience as a Pattern Maker or a U.S Department of Labor Certificate of Completion as a Pattern Maker.
Must be able to satisfactorily complete the General Motors hiring process requirements which includes comprehensive assessments, drug testing, and a background check
At least 18 years of age
Eligible to work in the United States
Must be willing to work flexible shift hours and day, afternoon, or night shifts as well as overtime hours daily, weekend and holidays on those shifts with little notice
GM DOES NOT PROVIDE IMMIGRATION-RELATED SPONSORSHIP FOR THIS ROLE. DO NOT APPLY FOR THIS ROLE IF YOU NEED OR WILL NEED GM IMMIGRATION SPONSORSHIP TO WORK OR TO REMAIN EMPLOYED AT GM (e.g., H-1B, TN, STEM OPT, etc.).
If you are a current GM employee operating under a collective bargaining agreement, please contact your local HR/LR for employee placement opportunities.
This position may be filled with a Journeyperson or Journeyperson In Training, the compensation ranges for a JIT include ($39.12 - 45.64) or Journeyperson rate of ($46.57). Certificates/credentials and scoring in interview will determine your status and pay.
Physical Requirements:
Quick response to safety instructions, alarms, and signals are a must
Ability to work and stand for extended periods
Comfortably wear personal protective equipment
Navigate a busy environment
Bend, twist, kneel, crouch, and reach
May need to lift or carry materials weighing up to 50 lbs. depending on department
Occasional sitting during certain tasks
Drive mobile equipment when needed
General Motors UAW hourly employment offers a very competitive compensation and benefit package. An annual incentive payout is also available, as qualified.
Relocation and travel expenses will be the responsibility of the applicant.
Please note – per the labor agreement between GM and the UAW, GM may share information and documentation relating to the credentials of applicants for this position (e.g., resumes, journeyperson cards, interview notes, certificates, etc.) with UAW personnel who have a need to know as part of their role on the UAW skilled trades team.
This role is not eligible for relocation assistance.
At General Motors, our product teams are redefining mobility. Through a human-centered design process, we create vehicles and experiences that are designed not just to be seen, but to be felt. We’re turning today’s impossible into tomorrow’s standard —from breakthrough hardware and battery systems to intuitive design, intelligent software, and next-generation safety and entertainment features.
Every day, our products move millions of people as we aim to make driving safer, smarter, and more connected, shaping the future of transportation on a global scale..
About the role:
The Technical Specialist – Advanced Seat Structures is the senior individual contributor and domain expert for future seat structure architectures, mechanisms, and enabling technologies. You will lead clean-sheet and advanced concept work (new architectures, mechanisms, composite/lightweight structures) and convert ambiguous customer and vehicle requirements into executable, reusable seat structure strategies. This role operates primarily in advanced vehicle development, partnering closely with Advanced Vehicle Development (AVD), seat just-in-time (JIT) suppliers, Safety, Body-in-White (BIW), Design, Manufacturing, and global regions to define the advanced seat structures roadmap and prepare downstream program teams for successful execution.
Key Responsibilities:
Advanced Architecture & Concept Development:
Innovation, Benchmarking & Technology Roadmap:
Safety, Regulatory & Structural Performance:
Manufacturability, Automation & Complexity:
Knowledge Management & Mentorship :
Cross-Functional Leadership & Influence:
Required Qualifications:
Preferred Qualifications:
#LI-JN1
]]>WHY: Reduce vehicle yard holds and improve product quality by executing ECU software deployment at scale—ensuring correct software versions are applied at the right time across GM manufacturing sites.
WHAT: Lead on-site deployment of ECU flashing solutions across manufacturing plants—setting up reflash environments, coordinating teams, and ensuring successful execution of software updates in production and yard environments.
HOW: Operate in a hands-on, field-based role—deploying ECU flashing solutions across plants, leading contractor teams, troubleshooting issues in real time, and working directly with engineering and manufacturing partners to ensure reliable, repeatable execution under production conditions.
This role is best suited for individuals who thrive in hands-on, field-based environments—supporting manufacturing plants, leading deployment activities, and solving electrical and software challenges directly on the floor.
Work Arrangement - Onsite
The successful candidate is expected to report to the GMNA plants, warehouses, and the Warren Tech Center on a full-time basis. This role requires 75% or greater domestic and international travel.
What You’ll Do (Responsibilities):
Your Skills and Abilities (Required Qualifications):
What Can Give You a Competitive Edge (Preferred Qualifications)
#LI-BC1
General Motors is at the forefront of the transformation of automotive with the electrification of our portfolio and the development of leading-edge central compute and autonomous capabilities. Our ECU Electrical team is a dynamic, high-energy, and innovative group focused on developing electrical design of next generation ECUs (Electronic Control Units). The team also reviews and approves production ECU design changes.
We are seeking a Senior Signal Integrity Engineer to ensure the performance and reliability of high-speed hardware designs by analyzing and mitigating signal degradation issues. This role will collaborate with cross-functional teams to optimize design processes and address potential signal integrity challenges early in development. The ideal candidate will play a critical part in supporting our semiconductor strategy, driving innovation, and ensuring product excellence in next-generation systems.
The Role:
In-vehicle electronics is a fast-growing technology in the global automotive industry featuring many cutting-edge technologies such as Compute, body and zone controllers, multi-view cameras, Gig+Ethernet, PCIe, digital/analog interfaces and more. We are looking for creative and enthusiastic candidate to become part of a fast-moving team who want to lead the future direction of the automotive industry.
The ECU hardware design team’s mission is to ensure our products are designed to target the growing needs of our customers while ensuring robust, well-designed hardware which meets GM specifications and testing requirements from early hardware through the production design. In this role you will be responsible for leading product development and integration activities.
Responsibilities include utilizing engineering tools and processes to successfully develop components and systems for vehicle programs.
What You'll Do (Responsibilities):
What You'll Need (Required Qualifications):
Compensation: The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position, as well as geography of the selected candidate.
• The salary range for this role is (125,200 - 192,700). The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.
• Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.
Benefits:
• Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.
#LI-JK3
]]>As a Tool and Die Maker Journeyperson, you will work under minimal supervision with a high level of independent judgement and problem solving. You should be flexible enough to take on and tackle multiple job assignments in a shift.
Preferred Experience Includes:
Experience with planned maintenance systems and predictive technologies
Experience with industrial robotics, automation, and conveyance systems
Primary Responsibilities:
Follow established safety procedures according to OSHA standards and company procedures
Maintain, dismantle, repair, and replace mechanical and hydraulic components (e. g. bearings, seals, details, carriers, etc.) on industrial machinery such as shafting, motors, generators, air compressors, engines, pumps, cylinders, gears, couplings, linkages, ball screws, high speed CNC spindles, coolant systems and filters, and combustion equipment and valves
Layout, assemble, fabricate, maintain, and repair piping systems
Use various hand or power tools for measuring, cutting, threading, grooving, bending, soldering, assembling, joining, and installing pipes, valves, and fittings
Read and interpret blueprints for the mechanical operation and assembly of conveyor systems, material handling systems, robots, and other automation
Operate mobile equipment (e.g. forklifts, vertical lifts, cranes)
Determine loading requirements to rig equipment and material for lifting
Set up and operate conventional or computer numerically controlled (CNC) machine tools such as lathes, milling machines, and grinders to cut, bore, grind, or otherwise shape parts to prescribed dimensions and finishes
Fabricate punches, tools, steel rule tools and t-sets to exact specifications
Plan sequences of operations for fabricating tools or assemblies using blueprints, sketches, or models
Determine quality of finished products, ensuring defect-free parts, by verifying dimensions, alignment, and clearances for conformance to specifications using measuring instruments such as calipers, gauge blocks, micrometers, and dial indicators
Interested individuals must meet the following minimum qualifications:
Physical Requirements
General Motors UAW hourly employment offers a very competitive compensation and benefit package. An annual incentive payout is also available, as qualified.
Relocation and travel expenses will be the responsibility of the applicant
]]>The EV Battery Lifecycle Engineer position will focus on the development and execution of battery recycling strategies. You will work with a cross-functional team to create battery lifecycle strategies for GM batteries to meet corporate goals for profitable sustainability. In this Program Execution role, you will independently manage complex projects, coordinate cross-functional teams, and partner with internal and external stakeholders to design and implement robust recycling, waste, and materials management solutions across GM facilities, plants, and our supplier ecosystem.
What You Will Do
Your Skills & Abilities (Required Qualifications)
What Will Give You A Competitive Edge (Preferred Qualifications)
Every day, our products move millions of people as we aim to make driving safer, smarter, and more connected, shaping the future of transportation on a global scale.
The Role
We are seeking a Senior Execution Engineer – Material Flow & Robotics Deployment to join AMD within the Manufacturing Systems Design and Deployment organization. In this role, you will lead the execution of advanced automation solutions that improve material flow, reduce waste, and increase operational efficiency across manufacturing environments.
You will work across engineering, operations, plant teams, and strategic suppliers to identify, develop, and deploy innovative automation technologies, including AMRs, AFTs, ASRS, and advanced kitting and sequencing systems. This role requires strong technical leadership, project execution, and cross-functional collaboration from concept through launch.
What You’ll Do
Lead the deployment of automation technologies, including AMRs, AFTs, ASRS, and kitting/sequencing systems, across manufacturing operations
Identify and evaluate automation opportunities in partnership with AMD Solutions Teams to improve efficiency, reduce waste, and strengthen material flow performance
Conduct labor studies using GMOS and partner with Assembly Plant Industrial Engineers to analyze indirect material movement and quantify automation impact
Define unit counts, routes, and commodity flow requirements based on operational and plant needs
Support layout reviews and process optimization through simulation, modeling, and data analysis
Collaborate with AMD Simulation and Solutions Teams from project purchase order through execution and launch
Design future-state material flow strategies and automation roadmaps aligned to plant and business objectives
Develop executable automation strategies with clear timing, cost, and implementation plans
Partner with Material Execution Leads, Manufacturing Innovation Teams, and Engineering Center Leads to drive continuous improvement initiatives
Work directly with strategic suppliers and plant partners to develop, implement, and scale automation solutions
Resolve deployment challenges related to containerization, logistics, and GPSC coordination to ensure successful execution
Perform feasibility studies, cost-benefit analyses, and ROI assessments for proposed automation projects
Collaborate with Product Engineering, Manufacturing Operations, IT, and other internal stakeholders to ensure seamless system integration
Develop and manage PMP plans, PCP assignments, JES/TIS revisions, and ULOC/DLOC and CMA documentation
Your Skills & Abilities (Required Qualifications)
5+ years of experience in automotive manufacturing, automation deployment, material flow engineering, or a related field
Hands-on experience deploying and integrating automation technologies such as:
Autonomous Mobile Robots (AMRs) with fleet management systems
Automated Fork Trucks (AFTs) with safety-rated navigation and control systems
Automated Storage and Retrieval Systems (ASRS) with warehouse control software
Experience using labor analysis tools to conduct indirect labor studies and quantify the impact of automation on material movement within a plant
Experience with layout optimization and simulation tools such as AutoCAD, Siemens Tecnomatix, or FlexSim to evaluate and improve material flow paths
Working knowledge of PLC programming, robotic cell integration, and industrial communication protocols such as OPC UA, Modbus, and Ethernet/IP
Ability to develop and manage PMP plans, PCP assignments, and operational documentation, including JES/TIS revisions, ULOC/DLOC, and CMA coordination
Strong analytical skills with experience conducting feasibility studies, cost-benefit analyses, and ROI modeling for automation projects
Demonstrated ability to lead cross-functional teams and resolve deployment issues involving material flow, containerization, and logistics
Bachelor’s degree in Mechanical Engineering, Industrial Engineering, Robotics, or a related technical field, or equivalent experience
What Will Give You a Competitive Edge (Preferred Qualifications)
Experience with digital twin modeling, simulation environments, or virtual commissioning of automation systems
Familiarity with Factory of the Future concepts, including AI-driven material flow, predictive analytics, and smart warehousing
Experience supporting launch planning in unionized manufacturing environments, including safety integration and ergonomic assessments
Knowledge of robotic safety standards and protocols such as ANSI/RIA R15.06 and ISO 10218 for collaborative and autonomous systems
Experience partnering with external automation vendors and system integrators to co-develop custom material handling solutions
Proficiency with data visualization tools such as Power BI or Tableau to track KPIs and communicate automation performance
Demonstrated success operating in fast-paced, high-variability manufacturing environments and driving innovation through ambiguity
#LI-MH1
]]>If you are a current employee of General Motors working in a per diem, hourly, or regular salaried role, you must apply through the internal careers page. Please navigate to https://workday.gm.com and search for GM Find Jobs.
The General Motors Manufacturing Group is seeking to identify highly motivated and qualified individuals for current and potential future opportunities as a Group Leader. In anticipation of these openings becoming available, we welcome you to apply so we can begin the pre-screening and interview process.
The Role:
As a Group Leader in Production, Quality, or Global Supply Chain (GSC), you will be responsible for leading teams of employees or technical personnel to drive operational excellence across manufacturing processes. This includes managing daily operations, developing and improving business processes, and fostering a culture of teamwork and collaboration.
In this role, you may oversee production activities, quality assurance, inspection, problem-solving, and GM Built-in-Quality initiatives. You will be expected to apply independent judgment within the framework of Global Manufacturing Systems, with a strong focus on Safety, People, Quality, Responsiveness, Cost, and Environment (SPQRCE).
What You'll Do (Responsibilities):
Specific physical requirements of the position include the ability to:
Your Skills and Abilities (Required Qualifications):
What Can Give You a Competitive Edge (Preferred Qualifications):
The General Assembly Maintenance Planner coordinates and prepares maintenance work so equipment and facilities can operate safely, reliably, and efficiently. This role develops job plans, schedules planned work, improves preventive-maintenance effectiveness, coordinates parts and resources, and supports maintenance leadership with accurate work-order information and performance reporting.
The planner works closely with maintenance group leaders, skilled trades, operations, manufacturing/process engineering, safety, quality, purchasing, stores, suppliers, and contractors. The role helps convert equipment needs into executable work that improves safety, uptime, throughput, quality, cost, and environmental performance.
What You’ll Do
Review maintenance requests, equipment issues, inspection findings, and preventive-maintenance requirements for the paint department.
Develop complete work packages that define the scope, sequence, labor requirements, skills, tools, materials, permits, safety controls, and estimated duration for planned work.
Create, update, and monitor work orders, job plans, preventive-maintenance tasks, routes, and equipment records in the computerized maintenance-management system.
Prioritize maintenance work with department leadership based on safety, regulatory requirements, equipment criticality, production impact, quality risk, and available resources.
Coordinate daily and weekly maintenance planning with maintenance group leaders, skilled trades, operations, manufacturing engineering, and other affected departments.
Plan shutdown, weekend, outage, and major repair activities, including work sequencing, contractor coordination, material readiness, and schedule tracking.
Confirm that required parts, tools, equipment, drawings, procedures, permits, and technical support are available before work is scheduled.
Partner with stores and purchasing to identify replacement parts, establish appropriate stocking levels, resolve material shortages, and support point-of-use availability.
Review equipment history, recurring failures, backlog, downtime, preventive-maintenance compliance, and other maintenance data to identify improvement opportunities.
Support root-cause investigations and develop corrective actions that reduce repeat failures and improve equipment reliability.
Coordinate with suppliers and contractors on estimates, scope, site access, safety requirements, work execution, and closeout documentation.
Support maintenance work involving paint process equipment, conveyors, robots, pumps, fans, ovens, booths, pretreatment, electrocoat, sealer, material systems, utilities, controls, and environmental equipment.
Verify that completed work orders contain accurate labor, parts, failure information, follow-up actions, and technical documentation.
Maintain current equipment records, bills of material, preventive-maintenance procedures, inspection routes, drawings, manuals, and maintenance standards.
Participate in maintenance priority meetings, shutdown reviews, equipment buyoffs, reliability reviews, and continuous-improvement activities.
Support safe work planning, including lockout, energy-control requirements, confined-space or hot-work planning when applicable, pre-task planning, and required permits.
Prepare and communicate maintenance schedules, backlog reports, project updates, risks, and completion status to department leadership.
Help develop and maintain standardized work for maintenance planning and improve the quality, timeliness, and execution of planned work.
Your Skills & Abilities
Experience in maintenance, maintenance planning, scheduling, manufacturing engineering, facilities, or industrial operations.
Working knowledge of preventive maintenance, predictive maintenance, corrective maintenance, work-order management, and equipment reliability practices.
Ability to read and interpret equipment manuals, maintenance procedures, technical drawings, electrical schematics, and bills of material.
Ability to work effectively with skilled trades, maintenance leadership, production, engineering, suppliers, and contractors.
Strong organization, prioritization, communication, and follow-through skills.
Ability to work effectively with skilled trades, maintenance leadership, production, engineering, suppliers, and contractors.
Commitment to safe work practices, environmental compliance, and continuous improvement.
Flexibility to work any shift, including weekends and overtime as required
What Will Give You a Competitive Edge
Associate or bachelor’s degree in engineering, maintenance, manufacturing, industrial technology, or a related field is preferred.
Experience in an automotive manufacturing or paint shop environment.
Experience planning maintenance for conveyors, pumps, motors, drives, ovens, booths, robots, process systems, utilities, or environmental equipment.
Experience with Maximo or another computerized maintenance-management system, including work-order reporting, job plans, preventive-maintenance schedules, asset records, and bills of material.
Knowledge of maintenance shutdown planning, contractor management, equipment buyoffs, and production-support activities.
Familiarity with reliability-centered maintenance, total productive maintenance, failure-mode analysis, root-cause problem solving, and lean manufacturing.
Knowledge of lockout, energy-control requirements, pre-task planning, hazard recognition, and plant safety systems.
Ability to develop clear job plans and estimate labor, materials, tools, equipment, and work duration.
Experience using a computerized maintenance-management system or comparable work-order system.
Experience using Microsoft Office, maintenance reporting tools, equipment history, downtime data, or dashboard applications.
Technical experience with mechanical, electrical, controls, pipefitting, millwright, or industrial equipment systems.
Ability to manage UAW employees
General Motors is seeking a New Products Architect to lead the definition, integration, and execution of future Internal Combustion Engine architectures within the New Products Group organization. This is a individual contributor role for an engineer who can independently lead significant technical work, exercise sound judgment on complex engineering matters, convert broad program needs into executable technical plans, and drive alignment across a broad cross-functional team.
This role is focused on new product development for engines, with responsibility to define and engineer architectures that meet vehicle-level requirements, provide technical and program leadership in a cross-functional Balance Architecture environment, and own engineering and program deliverables during the BA phase. The role is intended for an experienced systems-minded engineer who can bridge architecture definition, component and subsystem integration, technical decision-making, and handoff into execution teams.
General Motors is at the forefront of the transformation of automotive with the electrification of our portfolio and the development of leading-edge central compute, connectivity, and autonomous capabilities. Our Semiconductor Engineering team is a dynamic, high-energy, and innovative group focused on design and commercialization of leading-edge silicon enabling the future of GM’s Software Defined Vehicle (SDV) platforms—central compute units, connectivity modules, and other controllers.
We are seeking a highly skilled and driven Senior SoC Hardware Engineer to join our Semiconductor Center of Excellence. This pivotal role will lead the evaluation and integration of state of the art System-on-Chip (SoC) solutions into next generation automotive electronics platforms. You will collaborate with internal teams and silicon vendors to analyze SoC capabilities, influence selection decisions, and ensure seamless bring-up from schematic design through early testing and production.
Responsibilities
Qualifications – Required
Qualifications - Preferred
#LI-JK3
]]>Every day, our products move millions of people as we aim to make driving safer, smarter, and more connected, shaping the future of transportation on a global scale.
The Role
As a Senior Conveyor Engineer, you will lead the installation and operational activities of manufacturing conveyor equipment in GM facilities, ensuring compliance with industry and GM standards. You’ll play a key role in layout development to support manufacturing processes, integrate lean concepts for cost-effective designs, and collaborate on material presentation for operator assembly.
This role involves managing multiple plants and large-scale projects, understanding the integrated supplier model, and overseeing project timing and financials. You’ll work cross-functionally with internal teams and external partners, exercising creativity, initiative, and independent judgment in a dynamic environment.
What You'll Do
· Execute complex conveyor projects, including engineering, fabrication, installation, and start-up in GM assembly plants across North America.
· Lead multiple conveyor projects and equipment installations, ensuring compliance with GM standards and safety requirements.
· Develop project timelines and manage financial aspects of conveyor execution.
· Collaborate with engineers and suppliers to support project execution and resolve operational issues.
· Drive lean conveyor designs to minimize total costs while supporting material presentation for assembly.
· Utilize GM documentation and ensure adherence to conveyor specifications and standards.
· Generate technical solutions for conveyor challenges and track deliverables to ensure timely completion.
Your Skills & Abilities (Required Qualifications)
· 5+ years of experience in manufacturing engineering.
· Bachelor’s degree in engineering, science, project management, or related field (or equivalent experience).
· Proficient in reading, understanding, and developing conveyor layouts.
· Strong analytical skills with excellent communication and interpersonal abilities for effective problem-solving.
· Proficient in computer applications, interpreting engineering drawings, and adapting to new systems.
What Will Give You a Competitive Edge (Preferred Qualifications)
· Experience as a conveyor engineer or in maintenance roles.
· Strong technical knowledge in process engineering disciplines, including plant layouts, process requirements, throughput, and simulation—especially in Body, Paint, and General Assembly.
· Proven experience in project management.
· Proficiency in AutoCAD and FactoryCAD for creating and modifying designs.
· Familiarity with NX software or general awareness of its applications.
]]>Every day, our products move millions of people as we work to make driving safer, smarter, and more connected—shaping the future of transportation on a global scale.
Global Manufacturing Electrical & SDV is seeking an innovative engineer to support the integration of electrical, software, and Software-Defined Vehicle (SDV) technologies into vehicle programs and manufacturing operations. This role partners across engineering, manufacturing, program, and plant teams to evaluate manufacturing impacts, develop implementation strategies, and enable successful technology adoption across global assembly plants.
This is an onsite role based at the Warren Tech Center. The successful candidate must be available for up to 50% domestic and international travel.
Drive integration of electrical, SDV, and Vehicle-as-a-Tester (VaaT) requirements across vehicle programs.
Assess manufacturing impacts and develop implementation strategies for assigned plants and programs.
Develop plant and program strategies in collaboration with Global Manufacturing Electrical & SDV, Manufacturing Planning, and other Manufacturing Engineering organizations.
Represent manufacturing requirements during program planning and escalate risks as appropriate.
Support virtual and physical build events by identifying risks, resolving issues, and supporting plant readiness.
Align global cross-functional teams on manufacturing requirements, execution strategies, and program objectives.
Collaborate with teams across regions and time zones to support vehicle program execution.
Contribute to continuous improvement initiatives focused on manufacturing readiness, quality, efficiency, and implementation success.
Experience supporting vehicle programs in Manufacturing Engineering, product engineering, manufacturing integration, or a related automotive function.
Working knowledge of vehicle electrical systems and their impact on manufacturing processes and assembly operations.
Demonstrated ability to evaluate the manufacturing impact of electrical, software, or product changes and translate them into plant-level solutions.
Experience supporting vehicle launches, plant builds, production implementation, or manufacturing readiness activities.
Ability to drive alignment and execution across engineering, manufacturing, operations, and program teams without direct authority.
Strong problem-solving and decision-making skills in fast-paced, ambiguous environments.
Willingness and ability to travel domestically and internationally as required.
Experience working in a vehicle assembly plant environment.
Manufacturing Engineering experience supporting body, electrical, general assembly, or launch operations.
Experience with SDV, VaaT, vehicle electrical architecture, or software integration.
Product launch, project management, or program management experience.
Ability to evaluate product designs and influence design decisions to improve manufacturability.
Experience supporting multiple manufacturing sites or global vehicle programs.
Familiarity with manufacturing planning, tooling systems, and vehicle assembly operations.
Bachelor’s degree in Engineering or a related discipline.
No: This posting is not for an existing vacancy within the organization and is open to new applications. (New Head Count)
AI Disclosure
As part of the application process, Artificial Intelligence will be used in the hiring process for this role
Onsite - This role is categorized as onsite. This means the successful candidate is expected to report to the St. Catharine's Propulsion facility
on a full-time basis.
Maintenance Group Leaders:
This is a full-time salaried position located at the General Motors St. Catharines Propulsion facility.
As a GEN V Maintenance Group Leader, you will be responsible for supervising a group of Mechanical and Electrical CAW skilled trades in which you foster an atmosphere of teamwork, inclusiveness, and cooperation. You will be an integral part of a team driving GMs future.
This work is of a technical nature and requires you to use independent judgment within the limits of Global Manufacturing Systems, focusing on Safety, People, Quality, Responsiveness, Cost, and Environment (SPQRCE). Selected candidates will have the opportunity to learn new technical skills as well as influencing the development of manufacturing processes to support this historical and game-changing progression to electric and autonomous vehicles.
Strong interpersonal skills and leadership experience.
Must be able to interpret blueprints and engineering drawings.
High level of critical thinking and analytical ability where problems are complex.
Proven project management and communication skills.
Basic computer proficiency (i.e. MS office, excel, word, PowerPoint, SharePoint)etc.)
Must be willing to work weekends and off shifts with extended hours
Ability to work cross-functionally with Engineering and Manufacturing Teams
Knowledge of GMS and BPD processes
Successful completion of a University degree or college diploma (engineering preferred)
Preferred Skills:
Knowledge of Continuous Improvement Processes (CIP)
Proficient in Throughput Improvement Process (TIP)
Advanced understanding of manufacturing and assembly processes, strong mechanical aptitude
Experience supervising employees in a union environment
Experience implementing Built-in-Quality Initiatives
Engine/transmission manufacturing experience
Experience with SAP and MAXIMO (preferred)
Minimum of 1 year of related maintenance experience (preferred)- Responsible for the effective use of personnel, material and equipment
Establishes a course of action to accomplish completion of the job and/or project. Has knowledge and ability to implement GMS principles
Compensation
The salary range for this role is $76,100.00 to $114,300.00. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.
Benefits:
The goal of the General Motors of Canada total rewards program is to support the health and well-being of you and your family. Our comprehensive compensation plan currently includes the following benefits, in addition to many others:
Paid time off including vacation days, holidays, and supplemental benefits for pregnancy, parental and adoption leave.
Healthcare, dental and vision benefits including health care spending account and wellness incentive.
Life insurance plans to cover you and your family.
Company and matching contributions to a Defined Contribution Pension plan to help you save for retirement.
GM Vehicle Purchase Plan for you and your family.
THIS JOB IS NOT ELIGIBLE FOR RELOCATIONS BENEFITS. ANY RELOCATION COSTS WOULD BE THE RESPONSIBILITY OF THE SELECTED CANDIDATE.
GM DOES NOT PROVIDE IMMIGRATION-RELATED SPONSORSHIP FOR THIS ROLE. DO NOT APPLY FOR THIS ROLE IF YOU WILL NEED GM IMMIGRATION SPONSORSHIP NOW OR IN THE FUTURE.
]]>In-vehicle connectivity and precise positioning are critical enablers for advanced driver assistance, autonomous driving, and connected vehicle services. We are seeking a Staff Hardware Engineer– GNSS to lead the definition, design, and validation of GNSS (Global Navigation Satellite System) solutions for our current and future generations of connectivity and compute platforms across a broad range of vehicles.
This role will serve as the subject matter expert for GNSS hardware and system performance, working closely with product, systems, RF, hardware design, suppliers, and validation teams to deliver robust, automotive-grade GNSS solutions.
What You’ll Do (Responsibilities):
System & Requirements Ownership
Cross-Functional Collaboration
Supplier & Roadmap Leadership
Work with GNSS chipset/module and RF component suppliers to:
Collaborate with Purchasing to :
Hardware Design & RF Integration
Work closely with Hardware Design and RF Engineering teams to:
Lab & Conducted Testing
Define and execute conducted RF test plans for GNSS, including:
Vehicle-Level GNSS Performance & Test Cases
Define end-to-end vehicle-level GNSS performance requirements and KPIs, including:
Develop vehicle-level GNSS test cases and procedures, including:
Your Skills & Abilities (Required Qualifications):
People Skills:
What Will Give You A Competitive Edge (Preferred Qualifications):
Compensation:
The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of New York, Colorado, California, or Washington.
The expected base compensation for this role is: $160,000 - $245,000. Actual base compensation within the identified range will vary based on factors relevant to the position.
Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.
Benefits : GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.
Company Vehicle :
Upon successful completion of a motor vehicle report review, you will be eligible to participate in a company vehicle evaluation program, through which you will be assigned a General Motors vehicle to drive and evaluate.
Note: program participants are required to purchase/lease a qualifying GM vehicle every four years unless one of a limited number of exceptions applies.
#LI-DH2
]]>We are looking for a Staff Display Hardware Design Engineer to lead the electrical design and technical execution of GM in-house display development programs and ensure that the display module meets system, regulatory, validation, and manufacturing requirements across the development lifecycle.
The engineer will work across LCD/OLED display platforms and variants, partnering with internal teams and suppliers to deliver robust designs.
The ideal candidate is a hands-on design owner who is equally comfortable reviewing circuits, aligning requirements, challenging supplier assumptions, and driving the engineering work needed to release a robust display product. They combine strong electrical fundamentals with practical execution in a fast-moving, cross-functional automotive environment.
What You'll Do (Responsibilities):
Your Skills & Abilities (Required Qualifications):
Compensation:
The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of New York, Colorado, California, or Washington.
The expected base compensation for this role is: $160,000 - $245,000. Actual base compensation within the identified range will vary based on factors relevant to the position.
Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.
Benefits : GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.
Company Vehicle :
Upon successful completion of a motor vehicle report review, you will be eligible to participate in a company vehicle evaluation program, through which you will be assigned a General Motors vehicle to drive and evaluate.
Note: program participants are required to purchase/lease a qualifying GM vehicle every four years unless one of a limited number of exceptions applies.
#LI-DH2
]]>General Motors is a global leader in advanced driver assistance. With Super Cruise hands-free technology in more than 500,000 Super Cruise–equipped vehicles on the road and over 700 million hands-free miles driven, GM is proving that automation can be trusted, intuitive, and helpful. GM has the global reach to bring cutting-edge advances to everyday drivers at unprecedented scale. Join us to help deliver the next generation of safe and delightful personal autonomous vehicle experiences.
About the Organization
The Evaluation team builds and evolves the evaluation ecosystem that powers the development and scaling of GM’s autonomous driving technology. We develop metrics, automated workflows, and analysis approaches that enable data-driven decisions across AV development and verification. Partnering with Autonomy, Simulation, Systems, and Safety teams, we act as system-level integrators and arbiters of end-to-end AV quality.
We own large-scale test scenario libraries, continuous evaluation pipelines, and critical risk assessment and release-gating components, treating road testing, data mining, training, and metrics as first-class use cases in a unified analytics framework. By joining this team, you will help shape GM’s core evaluation platforms, turn system-level results into clear feedback for engineering and leadership, and help accelerate validated AV deployment at scale.
What You’ll Do (Responsibilities)
Architect and implement metrics and analyses to introspect autonomous driving software performance at subsystem interfaces across the autonomy stack; partner closely with autonomy developers and systems engineers.
Design and implement analysis algorithms that summarize, aggregate, and cluster metrics produced by simulations and on-road runs of the autonomy stack.
Propose and develop new statistical and ML methods to quantify performance and identify patterns of system and subsystem behavior across diverse scenes and operational domains.
Develop and apply methods to introspect the operation of ML components in the autonomy stack, including evaluation of perception, prediction, and planning models.
Build and maintain autonomy evaluation dashboards and interactive reports that provide clear, explainable insights (e.g., trend analysis, drift detection, scenario coverage) for development, verification, and leadership.
Leverage vision-language models (VLMs) and large language models (LLMs), where appropriate, to classify autonomy performance, identify critical scenarios, and prioritize validation efforts, integrating human-in-the-loop review where needed.
Maintain a high technical standard through thoughtful system design, code reviews, testing, observability, and adherence to software-engineering best practices.
Interface with cross-organizational partners to articulate requirements, resolve handoff issues, and share best practices around evaluation, metrics, and experiment design.
Your Skills & Abilities (Required Qualifications)
5+ years of applied experience with robotics or autonomous systems software (e.g., sensors, perception, prediction, planning, or control), data analysis, ML evaluation, or autonomy analytics.
3+ years evaluating dynamic systems using numerical and/or ML approaches, including time-series data, state derivatives, dynamics, and interconnected subsystems.
Strong proficiency developing Python in production team environments, including testing, performance, and code review.
Proficiency with Pandas, NumPy, SciPy, and plotting/visualization libraries for large-scale data analysis and reporting.
Comfort working with C++ codebases, including reading, debugging, and instrumenting core algorithms.
A strong curiosity to question anomalous data and systematically root-cause discrepancies.
Demonstrated technical leadership, including driving architectural decisions, influencing cross-team designs, and owning complex features or services end-to-end.
Bachelor’s, Master’s, or PhD in C omputer Science, Robotics, Mechanical or Aerospace Engineering, Machine Learning, Data Science, or a related field, or equivalent practical experience.
What Will Give You a Competitive Edge (Preferred Qualifications)
Experience in a utonomous driving or field robotics, including visualizing and interpreting results from simulation and field experiments.
Experience evaluating robotics or AV systems using sensor data (e.g., camera, lidar, radar) and large-scale time-series analysis.
Strong intuition for data visualization and the ability to decompose high-dimensional metrics into clear, trustworthy, and consumable views for technical and non-technical audiences.
Familiarity with statistical modeling, experimental design, and hypothesis testing for autonomy or simulation evaluation; fluency with Pandas, NumPy, SciPy, and visualization tools.
Proficiency in C++ and SQL; experience shaping logging, data schemas, and evaluation pipelines for large-scale autonomy testing and performance monitoring.
Experience working with ROS or similar robotics/IPC frameworks, log pipelines, and large-scale experiment databases or evaluation platforms.
Prior development experience with computational geometry, linear algebra, PyTorch, and ML techniques applied to perception, prediction, planning, or control.
Background in modeling agent interaction and contributing to release gating and safety decisions for autonomy systems.
Experience leveraging AI-assisted development and analytics tools to improve productivity and evaluation coverage.
This posting is not for an existing vacancy within the organization and is open to new applications.
AI Disclosure:
As part of the application process, Artificial Intelligence will be used in the hiring process for this role
Work Arrangement: This opening is hybrid, the successful candidate is expected to report to the office - Markham Elevation Centre (MEC) three times per week, at minimum.
The Role:
General Motors is undergoing a major transformation, both in how we operate and in how we will influence the future of transportation. As we move towards our ZERO ZERO ZERO vision for the future, we are on the forefront of this work and seeking out driven, innovative individuals who will join our team to help achieve our mission. We are currently looking for experienced and motivated candidates for the role of Virtualization and Software-in-the-Loop (SIL) Integration Engineer to support our Test Environment Agile Release Train (SIL ART).
This role is part of a group responsible for creating virtual in-the-loop environments to enable development, verification and validation of embedded controllers and calibrations for the following domains:
Propulsion Thermal Management System
Battery Management System
Chassis and Brake Controls
Body Electronics and Controls including vehicle access, occupant comfort, occupant protection, lighting, visibility and vehicle State
The Software-in-the-Loop (SIL) Simulation Integration Engineers (SIE) are ultimately responsible to deliver a quality simulation environment on time to meet the customers’ requirements. This position requires an individual with a passion for modeling, an adept knowledge of system simulation and integration, and demonstrated capability for managing a wide variety of technical and customer needs.
What You'll Do (Responsibilities) :
Lead the development and integration of cosimulation components to satisfy the end user test requirements.
Create virtual controller models to be used across different simulations
Create, maintain and test virtual controller components such as HWIO, RTOS, communication models, etc.
Obtain, develop & parameterize sub-system models, such as sensors and actuators, and ECU behavioral models
Work with development engineers to understand new feature requirements, address issues, and ensure proper implementation
Work with System Engineers to define SIMBOMs (the required cosimulation assets) based on the test requirements.
Integrate Plant models and other ECU models into a dynamic virtual simulation
Create and maintain detailed documents for each release
Provide support for released simulations and assist with user testing and troubleshooting
Provide technical support and guidance to other team members
Ensure the cosimulation environments are delivered with quality
Support cloud deployments
Your Skills & Abilities (Qualifications):
Bachelor of Science degree in one of the following disciplines: Engineering, Computer Science or related fields
2-5 years of software engineering experience
Proficient in Embedded C and Python
Competent with embedded controls software and the automated software build processes including gcc compiler, gdb debugger, Eclipse, Jenkins and ETAS INCA tools
Adept experience with MATLAB and Simulink in context of plant model development and integration and basic usage of additional simulation tools (e.g. GT-Power, AMESIM, CarSim)
Proficient in automotive communication technologies such as CAN, LIN, SPI and automotive ethernet.
Familiar with FMU/FMI standards and SSP.
Familiar with AUTOSAR Layered Software Architecture.
What Can Give You A Competitive Edge ( Preferred Qualifications):
Master’s degree in a field of Engineering, Computer Science or related fields
3+ years of embedded software development experience
Experience in virtualization or software integration
Experience in designing and developing vehicle body controls, propulsion thermal, battery management, chassis and brake controls software
Compensation:
The salary range for this role is $90,900 to $136,400. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.
GM DOES NOT PROVIDE IMMIGRATION-RELATED SPONSORSHIP FOR THIS ROLE. DO NOT APPLY FOR THIS ROLE IF YOU WILL NEED GM IMMIGRATION SPONSORSHIP NOW OR IN THE FUTURE.
Benefits Overview
The goal of the General Motors of Canada total rewards program is to support the health and well-being of you and your family. Our comprehensive compensation plan currently includes the following benefits, in addition to many others:
Paid time off including vacation days, holidays, and supplemental benefits for pregnancy, parental and adoption leave;
Healthcare, dental, and vision benefits;
Life insurance plans to cover you and your family;
Company and matching contributions to a Defined Contribution Pension plan to help you save for retirement;
GM Vehicle Purchase Plan for you, your family and friends.
No: This posting is not for an existing vacancy within the organization and is open to new applications. (New Head Count)
AI Disclosure:
As part of the application process, Artificial Intelligence will be used in the hiring process for this role.
Role Overview
We are seeking an experienced Software QA Team Lead to build, mentor, and lead a high-performing quality assurance team supporting software development projects in the mobile or automotive space. This individual will play a critical role in driving quality strategy, improving test processes, supporting team growth, and ensuring high-quality delivery in a fast-paced Agile environment.
Key Responsibilities
Required Skills and Experience
Preferred Qualifications
GM DOES NOT PROVIDE IMMIGRATION-RELATED SPONSORSHIP FOR THIS ROLE. DO NOT APPLY FOR THIS ROLE IF YOU WILL NEED GM IMMIGRATION SPONSORSHIP NOW OR IN THE FUTURE
Hybrid: This role is categorized as hybrid. This means the successful candidate is expected to report to Markham Elevation Centre (OEC) three times per week, at minimum.
Benefits Overview
General Motors of Canada offers a comprehensive total rewards program designed to support the health and well-being of employees and their families. Benefits currently include:
Compensation
The salary range for this role is $111,700.00 to $167,600.00. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.
Key Responsibilities
The Launch Quality Group Leader is responsible for leading quality assurance activities during new product launches, ensuring flawless execution from prototype builds through Start of Regular Production (SORP). This role drives compliance with quality standards, PPAP requirements, and manufacturing readiness processes while coordinating cross-functional teams to identify risks, resolve issues, and achieve launch quality targets.
The position requires strong expertise in Advanced Product Quality Planning (APQP), Production Part Approval Process (PPAP), Measurement System Analysis (MSA), Statistical Methods, and structured Problem Solving. The Launch Quality Group Leader serves as a key liaison between Manufacturing, Engineering, Supplier Quality, Program Management, and Production Teams to ensure successful product launches and customer satisfaction.
Required Qualifications and Skills
Bachelor’s degree in Industrial Engineering, Quality Engineering, Mechanical Engineering, or a related field or experience.
Experience with ISO standards, BIQ, and GQRs.
Knowledge of geometric dimensioning and tolerancing (GD&T).
Proficiency in Q-DAS or Minitab.
Knowledge of Power BI(desirable)
Strong teamwork, organizational, and administrative skills.
Advanced and fluent English proficiency.
Technical Skills
Quality Core Tools
Advanced Product Quality Planning (APQP)
Production Part Approval Process (PPAP)
Process Failure Mode and Effects Analysis (PFMEA)
Control Plans
Process Flow Development
Measurement System Analysis (MSA)
Statistical Process Control (SPC)
Statistical Knowledge
Process Capability Analysis
DOE (Design of Experiments)
Hypothesis Testing
Trend Analysis
Data Analytics and Statistical Interpretation
Experience
Three or more years of relevant experience preferred.
Travel and Availability Requirements
Availability to travel less than 25% of the time, primarily for new machinery validation.
Travel assignments may last up to one month at a time.
A valid visa is preferred.
Availability to occasionally adjust shifts based on business or project needs.Willingness to support projects during weekends and holidays when required.Flexibility and openness to changing project requirements
In case you need any reasonable adjustment to continue with your process, let your recruiter know.
Remember to attach your CV when applying to this vacancy.
General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We respect and value what each individual contribution to our team, including their origin, education, sex, race, ethnic group, sexual orientation, gender expression and / or identity, religious context, age, generation, and disability. We believe that our ability to meet the needs and expectations of an increasingly diverse and global customer base is closely linked to the diversity and inclusion that we experience within General Motors.
.
The Role
Do you like to have a different day every day, connect with people and be the face of the most revolutionary car company in the world? Join us as a Cadillac District Sales Manager!
The Cadillac District Sales Manager (DSM) is responsible for managing and actively engaging dealers through regular in-person visits and hands-on collaboration. This role requires a strong on-the-ground presence, working directly with dealerships to support and represent the brand's products and services. They may be involved in various initiatives including developing and implementing marketing initiatives, customer retention, product displays, financial analysis, and training. All to ensure that our dealers understand and succeed in selling our products to the final customer. A day in the life of a DSM is very fast paced, and no two days will be the same. To succeed in this position, you must like to connect and influence people, but also be able to manage your time properly.
What You’ll Do
Your Skills & Abilities (Required Qualifications)
What Can Give You a Competitive Advantage (Preferred Qualifications)
As a Manufacturing Engineering intern for General Assembly, you will be exposed to various positions and assignments in plant and corporate staff locations throughout the United States aimed at cultivating development and to education. Develop processes, equipment, and tools for Assembly plants supporting approximately 30 launches each year globally
Collaborate with other centers to reduce energy and waste globally
Develop and evaluate manufacturing innovations to support the factory of the future
Responsible for all value-added systems for Vehicle Assembly including lean material strategies
Develop & Validate new Automation for all manufacturing sites including Autonomous Mobile Equipment
What You’ll Do:
Positions in the organization are hands-on and engaging. You will learn problem solving on the fly, to work collaboratively with many members of the team, and be able to flex your creative muscles. Most assignments will be located in Warren, MI, strategic partners around Southeast Michigan, or manufacturing sites in Michigan. Examples of General Assembly assignments available include:
Analyze product, process, and technology to craft best methods to assemble vehicles, and protect the manufacturing process
Recommend and validate improvement for existing processes
Support evaluation of innovative technologies to address current manufacturing challenges
Develop tools to improve program/project management
Assist in the design, build, and validation of tools and equipment
Programming of manufacturing technology
Assist maintenance personnel in operation and maintenance of specialized equipment
Troubleshoots special maintenance and equipment problems
Coordinate machinery and equipment upgrade projects
Required Qualifications:
Pursuit of a bachelor’s degree in Engineering or Technology in one of the following areas: Automation, Automotive, Computer/Computer Science/Computer Animation, Construction Management, Civil, Industrial, Industrial Operations, Information Technology, Kinesiology, Machine Learning, Manufacturing, Mechanical, Mechatronics, Robotics, Software, Data Scientists, or equivalent
Must be graduating December 2027 and June 2029
Able to work fulltime, 40 hours per week during the summer months
Must be willing to work any shift, potentially including weekends
Must be willing to work in a plant environment
What will give you a competitive edge (Preferred Qualifications):
Insatiable curiosity and desire to learn
Prior experience in field of study
Conceptual understanding and/or experience in any of the following:
Controls – software, hardware development or execution
Developing tools, equipment, or processes such as layouts
Exposure to manufacturing processes: components to product assembly
Simulation/Game design or development
Artificial intelligence, machine learning, machine vision equipment or systems
Automation or automated equipment such as conveyance
Information Technology
Construction or installation planning, process, or execution
Human factors, ergonomics
Consistently demonstrates innovative thinking that is customer-centric
Able to work independently and with a team
Outstanding interpersonal and relationship management skills with the ability to effectively collaborate with varying levels of the organization and external partners
Emerging partnership and collaboration skills and ability to learn from and share knowledge with co-workers in a fast-paced environment
High level of integrity, ability to deal with ambiguity, takes initiative/self-directed
Knowledge of statistical methods as applied to experimental design and process development
Job locations can be at Manufacturing Engineering headquarters in Warren, Michigan or in various plant locations throughout the U.S. Plant locations may include:
Warren, MI
Detroit-Hamtramck, MI
Flint, MI
Lansing, MI
Orion, MI
Milford, MI
Fort Wayne, IN
Arlington, TX
Bowling Green, KY
Spring Hill, TN
Wentzville, MO
Fairfax, KS
Travel varies based on assignment and may be required to strategic partners and plants.
GM does not provide immigration-related sponsorship for this role. Do not apply for this role if you will need GM immigration sponsorship now or in the future. This includes direct company sponsorship, entry of GM as the immigration employer of record on a government form, and any work authorization requiring a written submission or other immigration support from the company (e.g., H1-B, OPT, STEM OPT, CPT, TN, J-1, etc.)
Work Arrangement :
Onsite: This role is categorized as onsite. This means the successful candidate is expected to report to a GM or supplier facility, as designated by the business, on a full-time basis.
GM will provide a one-time lump sum taxable stipend payment to eligible students selected for the 2026 Student Program.
To help facilitate administration of relocation benefits if you are selected, please apply using the permanent address you would move from.
Start dates for this internship role are May & June of 2027.
]]>We are seeking creative, highly motivated engineers with passion and expertise in controls and software for the position of software engineer within GM’s Vehicle Software and Electronics Engineering group.
In this position, you will have the opportunity to work on cutting-edge software solutions including the Software-Defined Vehicle solutions that are revolutionizing the automotive industry. You will design, implement, test and architect software solutions for functionality deployed across our vehicle portfolio and vehicle ecosystem, from Low level SW, embedded SW, Digital SW, Offboard SW (Cloud, Edge).
In this role, you will directly impact the GM vehicles that drive down the road and improve our customer experience! Your work will contribute directly to GM's vision of a world with ZERO Crashes, ZERO Emissions, and ZERO Congestion.
What You’ll do:
Deliver high-quality software solutions for embedded Controls systems (EVs, engine, transmission, chassis, brakes, etc..) or vehicle ecosystem, Vehicle Digital Experience, Vehicle Software Updates or Mobile Apps
Design, development and implementation of Physics and Controls requirements to continuously improve software for mechatronic controls and diagnostics strategies as well as controller communication or software for vehicle functions and enhancements using embedded development frameworks in Android, QNX and Linux environments
Adhere to best software design principles, utilizing design patterns and understanding supervisory controls architecture and hardware abstractions for effective software solutions.
Test & demonstrate software functionality & readiness
Supply common solutions across all GM owned software
Document requirements for design solutions and link them to test cases that can demonstrate software functionality
Utilize automated test tools in build environments, benches, and vehicles to verify functionality of the feature at the Controller, System and Vehicle level
Function as an inclusive Agile Scrum team member to deliver software solutions
Have voice in software planning events, share ideas & learnings and help teach/train others
Required Qualification
Pursuit of a Bachelor’s or Masters degree in one of the following areas: Computer Engineering or Computer Science
Must be graduating between December 2026 and June 2027
Must be able to work in southeast Michigan
Proficient in C, C++ programming language
Able to work full-time, 40 hours per week
What Will Give You a Competitive Edge (Preferred Skills):
Skilled in Python scripting, Rust, ETAS, INCA, MDA, and other software tools used for the development and/or testing of software
Experience with JIRA, GIT, and Agile software development framework
Experience with bootloader, embedded operating systems, controller communications and/ or diagnostics
Knowledge of AUTOSAR standards and methodology.
Knowledge and experience with CAN, LIN, ARXML, or Ethernet communications protocol.
Software architecture principles and best practices
Formula SAE, EcoCAR, or other Automotive related experience/clubs
Customer-centric focus with solution development
GM does not provide immigration-related sponsorship for this role. Do not apply for this role if you will need GM immigration sponsorship now or in the future. This includes direct company sponsorship, entry of GM as the immigration employer of record on a government form, and any work authorization requiring a written submission or other immigration support from the company (e.g., H1-B, OPT, STEM OPT, CPT, TN, J-1, etc.)
Work Arrangement & Location:
Hybrid: This role is categorized as hybrid. This means the successful candidate is expected to report to the office three times per week, at minimum times per week or other frequency dictated by the business.
Locations:
Warren, Michigan - GM Global Technical Center – Cole Engineering Center
Milford, Michigan - General Motors Proving Grounds
To help facilitate administration of relocation benefits if you are selected, please apply using the permanent address you would move from.
Benefits:
GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.
This job may be eligible for relocation benefits
Join GM’s Vehicle Software and Electronics Engineering organization to support the design, integration, validation, and launch of electrical controllers, automotive displays, connectivity, compute, and other electro-mechanical systems for electric and internal combustion engine vehicles.
You will work across electrical and mechanical hardware disciplines with software, manufacturing, validation, and supplier engineering teams to develop robust ECU and vehicle hardware.
What You'll Do (Responsibilities):
Support the design, development, integration, and validation of hardware, including schematics, PCB assemblies, enclosures, and vehicle systems.
Develop mechanical components and interfaces such as castings, moldings, stampings, seals, mounts, connectors, and fasteners.
Create engineering deliverables, including wiring diagrams, schematics, PCB layouts, bills of material, 3D CAD models, 2D drawings, test procedures, and validation documentation.
Apply design calculations, GD&T, tolerance analysis, and design-for-manufacturability principles.
Help integrate harnesses, cables, PCB assemblies, connectors, and enclosures into vehicle and electro-mechanical architectures.
Support analysis and test plans, prototyping, proof-of-concept activities, testing, and test-data analysis.
Participate in EMC, environmental, thermal, structural, vibration, connectivity, RF, display, and infotainment validation activities.
Troubleshoot hardware issues throughout prototype builds, integration, testing, and launch; document findings and recommend next steps.
Support hardware release, component and semiconductor selection, requirements traceability, and validation tracking.
Identify opportunities to improve cost, mass, reliability, manufacturability, design quality, and vehicle integration.
Collaborate with GM teams and Tier 1 suppliers to resolve issues, communicate progress and risks, and deliver project milestones.
Contribute to virtualization, continuous improvement, and enterprise hardware design strategies.
Follow applicable safety regulations, engineering standards, design practices, and GM policies.
Required Qualifications:
Pursuing a Bachelor’s or Master's degree in Electrical Engineering or Mechanical Engineering
Graduating between December 2026 and June 2027
Must be able to work in Southeast Michigan
Able to work full time, 40 hours per week
Preferred Qualifications:
Experience with embedded systems, microcontrollers, CAN, RS-485, Ethernet, analog and digital circuits, PCB layout, or component selection.
Knowledge of electrical schematics, wiring, safety standards, rapid prototyping, and validation methods.
Experience with 3D CAD, preferably Siemens NX and Teamcenter, 2D drawings, GD&T, tolerance analysis, and ASME Y14.5-2009.
Knowledge of solid mechanics, materials, heat transfer, thermal solutions, manufacturing, structural analysis, and vibration.
Experience designing PCBAs, ECUs, computers, or other automotive electronics.
Familiarity with SPICE, MATLAB/Simulink, Altium Designer, OrCAD, Capital, or similar engineering tools.
Experience working with electronics manufacturers or Tier 1 suppliers.
Work Arrangement:
Hybrid: This role is categorized as hybrid. This means the successful candidate is expected to report to the office three times per week, at minimum times per week or other frequency dictated by the business.
Locations:
Warren, Michigan - GM Global Technical Center – Cole Engineering Center
Milford, Michigan - General Motors Proving Grounds
To help facilitate administration of relocation benefits if you are selected, please apply using the permanent address you would move from.
GM does not provide immigration-related sponsorship for this role. Do not apply for this role if you will need GM immigration sponsorship now or in the future. This includes direct company sponsorship, entry of GM as the immigration employer of record on a government form, and any work authorization requiring a written submission or other immigration support from the company (e.g., H1-B, OPT, STEM OPT, CPT, TN, J-1, etc.)
Benefits:
GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.
This job may be eligible for relocation benefits
Work Arrangement: This role is categorized as onsite. The successful candidate is expected to report to their assigned GM worksite, five days per week and to respond to the site in the event of an emergency after hours, on weekend or holidays.
The Role:
The GSC Engineering Change Coordinator supports Romulus Powertrain by leading cross-functional initiatives that improve safety, quality, delivery, cost, responsiveness, employee engagement, and operational stability across Global Supply Chain operations.
The coordinator also serves as the plant change owner and Change Implementation Coordinator for engineering changes affecting the facility. This role manages product and process changes from initial request through production trial run (PTR), breakpoint, and obsolescence, ensuring that changes are understood, planned, validated, and implemented without disrupting safety, quality, material flow, or production.
What You'll Do (Responsibilities):
Your Skills & Abilities (Required Qualifications):
What Can Give You a Competitive Edge (Preferred Qualifications):
This job is not eligible for relocation benefits. Any relocation costs would be the responsibility of the selected candidate.
]]>Executar o pré-preparo, preparo e finalização de pratos quentes, guarnições, sopas, molhos, acompanhamentos e preparações especiais conforme cardápio definido.
Seguir rigorosamente as fichas técnicas de preparo, garantindo padronização de sabor, textura, rendimento e apresentação.
Realizar o controle de tempo e temperatura de cocção e de manutenção dos alimentos, registrando sempre que necessário.
Cumprir as normas de segurança dos alimentos, higiene pessoal e Boas Práticas de Fabricação (BPF), incluindo rotinas de higienização de equipamentos, utensílios e área de trabalho.
Zelar pela correta utilização, conservação e limpeza de equipamentos de cozinha (fornos, fogões, chapas, caldeirões, processadores, etc.).
Aplicar o princípio de FIFO/PEPS (primeiro que entra, primeiro que sai) no uso dos insumos, evitando desperdícios.
Seguir todas as normas de segurança do trabalho (uso de EPIs, manuseio de equipamentos, prevenção de acidentes) e participar de treinamentos e DDS relacionados.
Colaborar com a equipe de cozinha e de nutricionistas na melhoria contínua de processos, cardápios e indicadores de qualidade.
Cumprir rotinas administrativas da área (registros, planilhas simples de controle de produção, temperaturas, sobras, etc.), quando solicitado.
The Role:
We are seeking a Principal AI Engineer to lead the design and advancement of our AI platform. You will play a key role in shaping the infrastructure that powers large-scale training and cloud inference. This includes accelerating training throughput, scaling multi-modal models, and enabling the next generation of AI-driven driving systems. We're tackling challenges across distributed training, training efficiency, DDP/FSDP, data processing pipelines, and Pytorch model optimization. This is a highly impactful position where your technical leadership will define how we scale AI to achieve autonomy.
What You’ll Do:
Architect, build, and optimize core AI/ML platform infrastructure to support massive-scale model training.
Collaborate with data scientists, ML engineers, and software developers to enable seamless workflows from research to production.
Drive efficiency in large-scale distributed training and data processing pipelines.
Establish best practices for reliability, scalability, and performance across the AI/ML platform.
Provide technical leadership and mentorship, guiding teams on platform design, architecture decisions, and emerging technologies.
Partner with cross-functional stakeholders to align platform capabilities with business needs and strategic AI initiatives.
Your Skills & Abilities (Required Qualifications):
Bachelor’s degree or higher in Computer Science, related field, or equivalent experience.
8+ years of professional software engineering experience.
4+ years of specialized experience in AI/ML domain (e.g., enabling distributed training for large-scale models).
Strong programming skills in Python, with proficiency in frameworks such as PyTorch (preferred) or TensorFlow.
Experience with distributed systems, GPU computing, and cloud environments (AWS, GCP, or Azure).
Comfortable operating in highly ambiguous and dynamic environments.
Willingness to travel to Sunnyvale, CA as needed.
What Will Give You a Competitive Edge (Preferred Qualifications):
Proven track record of self-motivation, execution, and delivering impact.
Deep expertise with PyTorch 2.x+ and distributed training frameworks.
Strong skills in profiling, analysis, debugging, and optimizing training performance (e.g., avoiding memory fragmentation, operation fusion).
Proficiency in C++ for performance-critical components.
Experience leading cross-functional projects and aligning diverse stakeholders on priorities.
Compensation: The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of New York, Colorado, California, or Washington.
The salary range for this role is $296,300 to $453,200. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.
Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.
Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.
Benefits:
Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.
#GM-AV-1
Preferred Experience Includes:
Primary Responsibilities:
Interested individuals must meet the following minimum qualifications:
At least six (6) years of related experience in a Mechanical trade (millwright, pipefitter, toolmaker, machine repair) or a U.S. Department of Labor Certificate of Completion in a Mechanical trade (millwright, pipefitter, toolmaker, machine repair).
Must be able to satisfactorily complete the General Motors hiring process requirements which includes comprehensive assessments, drug testing, and a background check
Physical Requirements
General Motors UAW hourly employment offers a very competitive compensation and benefit package. An annual incentive payout is also available, as qualified.
Relocation and travel expenses will be the responsibility of the applicant.
Please note – per the labor agreement between GM and the UAW, GM may share information and documentation relating to the credentials of applicants for this position (e.g., resumes, journeyperson cards, interview notes, certificates, etc.) with UAW personnel who have a need to know as part of their role on the UAW skilled trades team.
If you are a current employee of General Motors working in a per diem, hourly, or regular salaried role, you must apply through the internal careers page. Please navigate to https://workday.gm.com and search for GM Find Jobs.
The General Motors Manufacturing Group is seeking to identify highly motivated and qualified individuals for current and potential future opportunities as a Group Leader. In anticipation of these openings becoming available, we welcome you to apply so we can begin the pre-screening and interview process.
Onsite: This role is categorized as onsite. This means the successful candidate is expected to report to Fairfax, Kansas on a full-time basis.
The Role:
The Maintenance Group Leader will be responsible for leading a group of skilled, hourly workers to troubleshoot and repair complex equipment and processes. This position requires the ongoing application and enforcement of the National and Local UAW Agreements. Candidates must possess technical expertise to oversee and support maintenance operations, exercising independent judgment within the framework of Global Manufacturing Systems, with a focus on Safety, People, Quality, Responsiveness, Cost, and Environment (SPQRCE)
Selected candidates will gain the chance to develop new skills while contributing to the advancement of manufacturing processes that support the groundbreaking shift toward electric and autonomous vehicles.
What You'll Do (Responsibilities):
Specific physical requirements of the position include the ability to:
Your Skills and Abilities (Required Qualifications):
What Can Give You a Competitive Edge (Preferred Qualifications):
Join an enthusiastic and cutting-edge team here at General Motors in the Automated Driving Performance HIL team! ADAS is a rapidly developing domain, deploying multiple new features, subsystems and sensing systems to the vehicle, and a key part of GM’s Zero Crashes, Zero Emissions, Zero Congestion vision. This is a great opportunity to join our team as an Automated Driving Performance HIL Infrastructure Engineer !
Our group is responsible for a simulation toolchain used to evaluate the vehicle level performance of ADAS control features. The toolchain is anchored in a realistic 3D virtual environment, and represents sensors, physical vehicle systems, and control systems utilizing a variety of hardware (HiL) configurations running in real-time.
You’ll partner with software, capability, and program execution teams to move their testing from prototype vehicles to the virtual domain, working on features such as automatic emergency braking, lane keeping assist, adaptive cruise control, SuperCruise lane centering and more.
This role involves simulation capability and toolchain development as well as some program execution support as related to ensuring the team delivers results on time and with quality.
What You'll Do
Create & integrate models, software and hardware into our simulation infrastructure
These can include Simulink models to represent consumed serial data, 3d virtual road network and traffic scenarios, Carsim, dSPACE ASM & other plant models to represent the vehicle’s physical systems, and sensor models used by the ADAS controller
Manage hardware-in-the-loop simulators (dSPACE, etc.) to support customers’ automated driving control code development and validation objectives
Partner with the ADAS community to identify new opportunities to utilize simulation, decreasing reliance on physical test properties
Advance the development of the core co-simulation infrastructure. Scout new technology & methods for opportunities to improve system capability, efficiency and robustness
Actively foster a collaborative and productive work environment
Your Skills & Abilities
Experience with any of the following:
Model, software, or hardware in the loop control system simulation experience, especially with dSPACE HiL and Simulink
Vehicle controls system experience (ADAS, chassis controls, powertrain controls, etc.), in algorithm development or calibration. Including expertise with CAN or automotive ethernet.
Active safety, automated driving, or autonomous vehicle related experience – in software development, calibration, design/release, testing, or validation.
Bachelor of Science degree in Electrical Engineering, Computer Engineering, Computer Science, Mechanical Engineering or other related engineering degree
5yrs of experience with 3yrs of experience in HIL simulation and test execution
Excellent interpersonal skills to work in a highly collaborative, diverse, multi-functional team and with a broad customer base
High level of analytical ability where problems are unusual, difficult and ambiguous
What Will Give You A Competitive Edge
Virtual environment and sensor modeling software experience- such as dSpace ASM/Aurelion, CarSim, Hexagon Virtual Test Drive (VTD), CARLA, Carmaker, Prescan, SCANeR, rFactor, Forum8, or Mathworks Automated Driving System Toolbox
Experience with SOME/IP.
Experience with Software Defined Vehicle (SDV).
Background with Python scripting for test automation applications
Vehicle dynamics / brakes / steering / chassis controls experience, especially in controls simulation
Experience with automotive control system instrumentation, such as INCA or ETAS
Data analytics experience
Autodesk 3ds Max, Unity, Unreal, or other computer graphics / visual effects experience
Full motion or static driving simulator experience
Master of Science degree in Electrical Engineering, Computer Engineering, Computer Science, Mechanical Engineering or other related engineering degree
5yrs experience in HIL simulation and test execution
Experience with Vector tools in HIL simulation and test execution.
This role is categorized as on-site. This means the successful candidate is expected to report to Advanced Technical Center full time.
The Role
The Interior Design Intern will support the GM China Design Studio in creating compelling interior concepts for future vehicle programs. This role is focused on pure interior design sketching and concept development, helping translate brand vision, China customer insights, and mobility trends into fresh and relevant interior proposals. The intern will work under the guidance of senior designers and collaborate with cross-functional partners to support the development of meaningful in-cabin experiences for GM brands serving China and global markets.
What you'll do
Your Skills & Abilities (Required Qualifications)
What we offer
We are looking for a strong C++ Software Engineer to support development of next-generation automotive UI applications. The role involves development of high-performance, safety/regulatory-focused UI features across QNX/Linux/Android-based platforms, with emphasis on scalable UI architecture, graphics rendering, and system integration.
Experience with Android UI/application development is a strong plus as the organization transitions toward Android-based UI platforms.
What You’ll Do
Required Qualifications:
Bachelor’s degree in Computer Science, Electrical Engineering, or related field. Or work related experience.
5+ years of experience delivering embedded or system-level software in production environments.
Experience integrating with ECUs and communication protocols (CAN, LIN, Ethernet).
Passion for performance, UI/UX, and clean architectural design.
Strong proficiency in modern C++ (C++11/14/17)
Experience in one or more: Qt / QML, Altia, Skia, OpenGL, Vulkan, Embedded graphics/UI frameworks,
Good understanding of: Rendering pipeline, Frame timing/jank, Animation handling, Adaptive/responsive layouts, Multi-display architecture
Preferred Qualifications:
5+ years of experience delivering embedded or system-level software in production environments.
Development in RTOS or infotainment contexts.
Experience with Unreal Engine or 3D display rendering.
Familiarity with CANoe, VehicleSpy, or other automotive debugging tools.
Experience with Android application framework or hybrid Android/RTOS integration.
Experience with:
Compensation: The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of the California Bay Area.
The salary range for this role is 138,000 and 175,000. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.
Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.
Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.
As a senior engineer, you will lead the design, build, and operation of secure cloud platforms and services. You will own core authentication and authorization capabilities and set engineering standards for how users and systems sign in and what they can do. You will shape the architecture, mentor other engineers, and help keep production systems secure, reliable, and easy to operate.
What You’ll Do:
Lead the design and implementation of authentication and authorization frameworks using open industry standards.
Architect and build access control systems that use permissions, roles, and attributes to decide who can perform specific actions.
Design and implement policy-driven and distributed authorization solutions.
Lead security and authorization reviews of services and drive remediation of issues.
Design, develop, test, and maintain cloud-native microservices and web application programming interfaces.
Define, version, and document application programming interfaces using standard interface definition formats.
Make key decisions for how services are built, deployed, and operated on public cloud platforms.
Write clean, testable, and secure code in one or more languages such as Go, Java, Python, JavaScript, and Structured Query Language (SQL).
Create and review technical designs, architecture documents, and diagrams.
Use artificial intelligence–based development tools to improve design, coding, testing, and documentation.
Design and implement containerized workloads using container runtimes and orchestration platforms.
Lead the design and improvement of continuous integration and continuous delivery pipelines.
Use infrastructure-as-code tools to define and manage cloud infrastructure.
Define and implement observability for services, including metrics, logs, traces, dashboards, and alerts.
Integrate and operate centralized logging and analytics solutions.
Design data models and manage data storage using relational databases, graph databases, and other data technologies.
Model and store authorization relationships and permissions using graph-based data stores.
Use modern engineering tools for development, testing, troubleshooting, and event streaming.
Mentor and coach other engineers and share engineering best practices in security and cloud.
Your Skills & Abilities (Required Qualifications):
5+ years of experience as a software engineer or security engineer, including work on authentication, authorization, or access control.
Experience in a senior or lead engineering role with ownership of services or platforms.
Bachelor’s degree in Computer Science, Software Engineering, Information Technology, or a related field, or equivalent experience.
Proven experience designing and implementing authentication flows and authorization models using open standards in production.
Experience building and maintaining role-based and attribute-based access control systems for complex use cases.
Strong programming skills in one or more of the following: Go, Java, Python, JavaScript, Structured Query Language (SQL).
Experience building cloud-native microservices and web application programming interfaces with modern frameworks.
Experience building and operating services on a public cloud platform.
Experience with containerization and orchestration technologies.
Experience designing and implementing continuous integration and continuous delivery pipelines.
Experience with infrastructure-as-code tools for managing cloud resources.
Experience with observability tools and practices for metrics, logging, and tracing.
Experience working with relational and/or graph databases, including data modeling.
Strong problem-solving skills with a focus on security, reliability, scalability, and maintainability.
Clear written and verbal communication skills, including the ability to lead design discussions.
Experience mentoring other engineers and contributing to engineering standards and practices.
What Can Give You a Competitive Advantage (Preferred Qualifications):
Deep experience with distributed authorization and policy engines, including graph-based authorization.
Experience modeling complex permissions and relationships in graph or relationship-focused data stores.
Experience with centralized logging and search platforms for large, distributed systems.
Experience designing and operating observability for high-availability, low-latency services.
Experience with event streaming platforms and message-driven architectures.
Proficiency with modern engineering tools, source control, database tools, and interface testing tools.
Ability to provide technical leadership across teams and influence architecture and platform roadmaps.
Ability to work effectively with engineering, security, and operations teams.
Willingness to drive modernization of platforms, tools, and engineering practices.
Demonstrated ownership in taking complex systems from design through launch and ongoing support.
Strong written and verbal communication skills, including concise technical documentation and clear presentations.
#LI-SB3
]]>GM Defense delivers integrated vehicles, power and propulsion, and autonomy and connectivity solutions for global defense, security, and government customers. By leveraging GM’s advanced commercial vehicle platforms, engineering expertise, and large-scale manufacturing, GM Defense rapidly adapts proven technologies into military-grade, mission-ready solutions that help customers improve mobility, readiness, and sustainment while managing cost and complexity.
The Survivability Strategist is an individual contributor role responsible for defining the survivability strategy and roadmap for GM Defense in alignment with mission needs, customer expectations, and program objectives. This role determines the survivability capabilities, technical approaches, manufacturing strategies, and enabling workstreams required to build an enduring enterprise capability, including what work should be developed in-house, what should be outsourced, what partnerships should be established, and what design, material, manufacturing, and analysis standards are needed to support execution. The role leads the development of survivability concepts, requirements, trade studies, and integration recommendations to ensure survivability considerations are built into product architecture, design, and validation from the outset.
What You'll Do
Your Skills & Abilities (Required Qualifications)
Travel requirement: 25% travel required with expectation of approximately one week per month visiting different assembly plants
]]>This leader will combine people leadership, technical depth, and operational discipline to drive strategy and execution across source control governance, artifact lifecycle management, reusable workflows, developer environments, cloud-hosted tooling, observability, and configuration standards. The role requires close partnership with product engineering, site reliability, security, IT and external partners to continuously improve software quality, developer productivity, and platform health.
What You'll Do:
Your Skills and Abilities (Required Qualifications):
Preferred qualifications
#LI-JK3
]]>About the Group
Within Vehicle Camera Services, we build advanced camera-based solutions that support vehicle safety, driver assistance, and connected experiences for millions of drivers worldwide. Our domain includes rear view, surround view, connected camera capabilities, trailer and towing features, NCAP-related safety functions, and additional vision-based systems deployed across GM vehicle platforms.
We are a pragmatic, execution-focused engineering organization working across continents, disciplines, and product domains. As our systems expand across platforms, programs, and architectures, we are looking for a highly senior software engineer who combines deep technical capability with broad organizational influence.
About the Role
We are looking for a Staff Software Engineer to join our team.
This role reports directly to the Director of Software Engineering and is a senior technical leadership position for someone who is exceptionally strong in hands-on software engineering and can also drive meaningful change across multiple teams, domains, and technical layers.
This person will operate across Android, RTOS, embedded systems, platform integration, and product delivery boundaries, helping shape direction, solve critical problems, and raise engineering execution across the organization.
The right candidate has the technical depth to go deep into architecture and implementation, the judgment to navigate ambiguity, and the credibility to work directly with senior managers, directors, architects, and cross-functional leaders. They should be comfortable switching between senior technical leadership and direct hands-on work in code, debugging, design reviews, integration, and problem solving.
What will YOU do?
Lead technically complex efforts across Android, RTOS, and embedded software domains within the vehicle camera organization.
Drive architecture, design, and implementation decisions for critical software systems and cross-domain integrations.
Stay close to the code and work hands-on in ambiguous, high-risk, or high-impact areas.
Identify and resolve systemic technical issues that span components, teams, or organizational boundaries.
Influence software direction across platform, application, integration, and vehicle-level concerns.
Partner closely with engineering leaders, architects, systems engineering, program teams, and global stakeholders to align technical strategy with execution reality.
Translate broad product or organizational needs into practical technical plans, engineering improvements, and measurable outcomes.
Raise the technical bar through design reviews, code quality expectations, engineering rigor, and strong technical judgment.
Drive improvements in development practices, integration approaches, debugging efficiency, and delivery predictability.
Mentor and influence engineers across the organization through technical excellence, clarity, and execution.
Help the organization make sound tradeoffs across speed, quality, scalability, maintainability, and vehicle/program constraints.
Contribute to software that ultimately runs in production vehicles and supports critical customer-facing and safety-relevant functionality.
Your Skills & Abilities (Required Qualifications)
B.Sc. in Computer Science, Computer Engineering, Electrical Engineering, or a related technical field.
Over 10 years of hands-on software engineering experience building complex production systems.
Strong experience in embedded software development, including low-level debugging, performance analysis, and system integration.
Significant experience with Android and/or RTOS-based systems in production environments.
Strong proficiency in C++ and/or C in complex software systems.
Proven track record of driving technical outcomes across multiple teams or domains through influence, ownership, and execution.
Demonstrated ability to operate effectively in a senior technical leadership capacity, working directly with directors, senior managers, architects, and cross-functional leaders.
Strong software engineering fundamentals in system design, architecture, concurrency, debugging, performance, and maintainability.
Experience working in large-scale, cross-site, cross-functional software organizations.
What Can Give You a Competitive Edge (Preferred Qualifications)
Experience in automotive, camera systems, computer vision pipelines, or safety-relevant embedded platforms.
Strong background in multi-domain systems that combine platform software, application logic, hardware-aware constraints, and vehicle integration.
Experience with software running on resource-constrained or real-time environments.
Familiarity with Android platform internals, middleware, BSP/system bring-up, or similar platform-level work.
Experience improving engineering effectiveness across organizations through better architecture, technical decision-making, tooling, development workflows, or integration practices.
M.Sc. or other advanced technical degree.
Why this role matters
This role is central to how we scale technical excellence in a growing and increasingly complex organization. It is an opportunity to shape both product and engineering direction, work on real systems that ship to vehicles, and have broad impact across critical camera and embedded software domains.
This is the right role for someone who wants to stay deeply hands-on, operate at high scope, and lead through expertise, judgment, and execution.
]]>Preferred Experience Includes:
Experience with planned maintenance systems and predictive technologies
Experience with industrial robotics, automation, and conveyance systems
Primary Responsibilities:
Follow established safety procedures according to OSHA standards and company procedures
Maintain, dismantle, repair, and replace mechanical and hydraulic components (e. g. bearings, seals, details, carriers, etc.) on industrial machinery such as shafting, motors, generators, air compressors, engines, pumps, cylinders, gears, couplings, linkages, ball screws, high speed CNC spindles, coolant systems and filters, and combustion equipment and valves
Layout, assemble, fabricate, maintain, and repair piping systems
Use various hand or power tools for measuring, cutting, threading, grooving, bending, soldering, assembling, joining, and installing pipes, valves, and fittings
Read and interpret blueprints for the mechanical operation and assembly of conveyor systems, material handling systems, robots, and other automation
Operate mobile equipment (e.g. forklifts, vertical lifts, cranes)
Determine loading requirements to rig equipment and material for lifting
Set up and operate conventional or computer numerically controlled (CNC) machine tools such as lathes, milling machines, and grinders to cut, bore, grind, or otherwise shape parts to prescribed dimensions and finishes
Fabricate punches, tools, steel rule tools and t-sets to exact specifications
Plan sequences of operations for fabricating tools or assemblies using blueprints, sketches, or models
Determine quality of finished products, ensuring defect-free parts, by verifying dimensions, alignment, and clearances for conformance to specifications using measuring instruments such as calipers, gauge blocks, micrometers, and dial indicators
Interested individuals must meet the following minimum qualifications:
At least six (6) years of related experience in a Mechanical trade (millwright, pipefitter, toolmaker, machine repair) or a U.S. Department of Labor Certificate of Completion in a Mechanical trade (millwright, pipefitter, toolmaker, machine repair).
Must be able to satisfactorily complete the General Motors hiring process requirements which include comprehensive assessments, hair drug testing, and a background check
At least 18 years of age
Eligible to work in the United States
Must be willing to work flexible shift hours and day, afternoon, or night shifts as well as overtime hours daily, weekend and holidays on those shifts with little notice
GM DOES NOT PROVIDE IMMIGRATION-RELATED SPONSORSHIP FOR THIS ROLE. DO NOT APPLY FOR THIS ROLE IF YOU NEED OR WILL NEED GM IMMIGRATION SPONSORSHIP TO WORK OR TO REMAIN EMPLOYED AT GM (e.g., H-1B, TN, STEM OPT, etc.).
If you are a current GM employee operating under a collective bargaining agreement, please contact your local HR/LR for employee placement opportunities.
This position may be filled with a Journeyperson or Journeyperson In Training, the compensation ranges for a JIT include ($37.78 - $44.08) or Journeyperson rate of $44.98. Certificates/credentials and scoring in interview will determine your status and pay.
General Motors UAW hourly employment offers a very competitive compensation and benefit package. An annual incentive payout is also available, as qualified.
Relocation and travel expenses will be the responsibility of the applicant.
Physical Requirements
Quick response to safety instructions, alarms, and signals are a must
Ability to work and stand for extended periods
Comfortably wear personal protective equipment
Navigate a busy environment
Bend, twist, kneel, crouch, and reach
May need to lift or carry materials weighing up to 50 lbs. depending on department
Occasional sitting during certain tasks
Drive mobile equipment when needed
Please note – per the labor agreement between GM and the UAW, GM may share information and documentation relating to the credentials of applicants for this position (e.g., resumes, journeyperson cards, interview notes, certificates, etc.) with UAW personnel who have a need to know as part of their role on the UAW skilled trades team.
]]>General Motors is at the forefront of the transformation of automotive with the electrification of our portfolio and the development of leading-edge central compute and autonomous capabilities. Our ECU Mechanical & Structural Design team is a dynamic, high-energy, and innovative group focused on developing robust mechanical architectures for next-generation ECUs (Electronic Control Units). The team is responsible for structural design, analysis, and validation of new ECU designs using engineering fundamentals, CAD, and CAE, while also reviewing and approving production design changes.
We are seeking a high-performing Structural CAE Hardware Engineer interested in leading the in-house development of electronics design. You will be responsible for the structural analysis, durability, and validation of electrical controllers and supporting hardware for our next-generation SDV (Software Defined Vehicle) architecture. This role requires strong collaboration with cross-functional and external partners.
Strong understanding of:
Stress, strain, deformation, and failure theories
Linear and nonlinear FEA, contact modeling, and material modeling
Fatigue, durability, and vibration analysis (modal, harmonic, random vibration)
Bolted joints, welds, snap fits, and other mechanical connections
Material behavior (metals, plastics, composites) under thermal and mechanical loading
Practical experience correlating CAE models to physical test results (vibration tables, shock testing, durability testing)
Ability to interpret system loads and boundary conditions and collaborate closely with design and test teams
Strong communication skills; able to present complex structural analyses clearly to both technical and non-technical stakeholders
Demonstrated ability to work across cross-functional and global teams and manage multiple programs in parallel
#LI-JK3
]]>At General Motors, we are reinventing the vehicle through electrification, centralized computing, and software-defined technologies. The Central Compute Hardware Mechanical team develops the mechanical foundation for advanced ECU platforms, leading enclosure design, thermal management, and EMI mitigation to deliver reliable, scalable hardware solutions for future vehicle architectures.
We are seeking a Senior Mechanical Hardware Engineer to lead the design, development, and integration of ECU connector and header solutions supporting power distribution, high-speed data, communications, RF, and I/O interfaces. Leveraging ECU architecture as a foundation, this role focuses on technical ownership of connector systems, driving the development of terminals, bus bars, sealing solutions, material selections, and connector-to-housing integration strategies.
The ideal candidate will provide end-to-end mechanical leadership for connector hardware, ensuring robust electrical performance, environmental protection, manufacturability, and production readiness. This engineer will collaborate closely with electrical and systems engineers, PCB designers, packaging teams, manufacturing organizations, and suppliers to deliver reliable, high-quality ECU connector solutions that meet vehicle-level performance, durability, and assembly requirements.
Compensation: The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position, as well as geography of the selected candidate.
• The salary range for this role is ($125,200 to $192,700). The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.
• Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.
Benefits:
• Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.
#LI-JK3
]]>Platform Evolution: Continuously develop and optimize the ACI PaaS layer to provide secure and resilient compute and storage capabilities for developers.
Kubernetes Management: Own the operation and scaling of 12,000+ namespaces across 150+ clusters of GKE-based IaaS/PaaS layers and on-prem Kubernetes clusters.
Developer Velocity: Build and maintain rapid deployment pipelines and abstracted storage layers to accelerate autonomous software delivery.
Traffic Engineering: Direct authoritative DNS zones and records to optimize traffic for distributed development workloads.
Capacity Planning: Own the full capacity lifecycle for cloud resources, including planning, provisioning, and utilization tracking.
Your Skills & Abilities (Required Qualifications)
Required: Expert-level experience with Kubernetes (GKE preferred) and container orchestration at scale.
Required: Proven track record building "Platform as a Product" for large-scale engineering organizations.
Required: Deep understanding of cloud-native storage, service meshes (Istio), and traffic engineering.
Required: Proven leadership experience at the Manager or Principal-level scope.
What Will Give You a Competitive Edge (Preferred Qualifications)
Experience with GPU-accelerated workloads and specialized substrate support in cloud environments.
Compensation: The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of New York, Colorado, California, or Washington.
The salary range for this role: is $233,000 to $300,000. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.
Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.
Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.
Cola is part of GM’s autonomous vehicle effort, focused on helping teams discover, understand, and curate high-value data from large-scale real-world sensor streams. The team sits at the intersection of machine learning, data infrastructure, and developer productivity, building systems that make it easier to search for important scenarios, prepare training-ready data, and support fast iteration across perception and evaluation workflows.
Our goal is to make world understanding scalable, practical, and cost efficient for embodied AI systems. We believe the next generation of autonomy and robotics depends not only on stronger models, but also on better infrastructure for turning massive volumes of multimodal data into reusable signals, searchable artifacts, and high-quality evaluation loops. That means building systems that can operate at industrial scale while preserving the flexibility to adapt quickly to new questions, new edge cases, and new model capabilities.
A core idea behind how we work is EMWU, or Efficient Multi-Tier World Understanding. At a high level, EMWU is a cost-aware approach that first performs the cheapest reusable work, such as detection, featurization, and retrieval, and then applies deeper reasoning only where it adds meaningful value. This operating model reflects how Cola engineers think: build durable intermediate artifacts, design for scale from the start, and balance quality, speed, and cost instead of optimizing any one of them in isolation.
We are looking for a hands-on machine learning engineer to help build the data processing, featurization, and inference foundations that power scalable world understanding. This role is ideal for someone who is equally comfortable working on machine learning systems, production infrastructure, and evaluation loops, and who enjoys turning ambiguous problems into practical, reliable solutions.
Design, build, and productionize data processing and featurization pipelines for large-scale multimodal data
Improve inference frameworks for computer vision and multimodal models, with a focus on reliability, extensibility, and operational simplicity
Drive scalability and cost efficiency across the end-to-end pipeline, including compute utilization, throughput, storage, and query performance
Work closely with partners across machine learning, infrastructure, and evaluation to deliver systems that support both rapid experimentation and production use
Develop and refine evaluation methods for model quality, retrieval quality, and system-level performance
Help shape technical direction through strong execution, thoughtful tradeoff analysis, and clear engineering judgment
Take ownership of ambiguous problem spaces, define practical paths forward, and move quickly from prototype to production
Operate with urgency and a strong bias toward execution velocity while maintaining a high bar for engineering quality
BS, MS, or PhD in Computer Science, Electrical Engineering, Robotics, or a related technical field, or equivalent practical experience
Experience building production data processing or machine learning pipelines at scale
Experience with featurization, embedding, inference, or retrieval systems for vision or multimodal workloads
Strong understanding of computer vision models and the practical challenges of deploying them in production environments
Experience evaluating machine learning systems using clear metrics, experiments, and regression safeguards
Proven ability to work hands-on in fast-moving environments with incomplete information
Strong ownership mindset, sound technical judgment, and the ability to drive execution through ambiguity
Experience with world models or large-scale world understanding systems
Experience with simulation workflows or synthetic data systems
Experience with vector search, approximate nearest neighbor retrieval, or large-scale embedding infrastructure
Experience working on embodied AI, autonomous systems, or safety-critical machine learning applications
Compensation
The salary range for this role is $117,700 and $221,400. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position (along with level.)
Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.
Benefits:
GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.
This role is categorized as on-site. The successful candidate is expected to report to the Advanced Technical Center full time.
The Role -
Leader responsible for leading a team that creates models by developing aesthetic surfaces which meet challenging time and quality requirements as directed by Sculpting Leadership for assigned programs throughout the GVDP. Work as a leader of people, collaborating with Design and Engineering stakeholders and supportive studio personnel. Manage to established modeling best practices and procedures with ownership of the execution of property plans. Oversight responsibility and development of resources who interpret and translate design input into 3D models and have insight into current and future product technology.
What You’ll Do
Your Skills & Abilities (Required Qualifications)
As a Senior Software Engineer focused on backend platform and API ownership, you will design, build, and operate scalable backend services that power critical product and business capabilities. You will be responsible for developing secure, reliable, and maintainable APIs and platform services, improving system performance and observability, and helping raise the engineering bar across the team.
What You’ll Do:
This position sits within the Energy Solutions organization and is aligned to a senior individual contributor software engineering scope. The role is expected to partner closely with product, frontend, platform, QA, DevOps, and adjacent engineering teams to deliver backend systems that are scalable, reliable, and production-ready.
Design, develop, test, deploy, and support backend services and APIs for internal and customer-facing applications
Own service architecture and technical design decisions for backend platform capabilities
Build secure and reusable APIs, service integrations, and shared backend components
Improve system scalability, performance, resilience, and operational excellence across services
Lead implementation of logging, monitoring, alerting, and observability best practices
Partner with product and engineering stakeholders to translate requirements into robust technical solutions
Drive code quality through code reviews, testing strategy, documentation, and engineering standards
Troubleshoot production issues, perform root cause analysis, and implement preventive fixes
Mentor other engineers and contribute to stronger backend development practices across the team
Support CI/CD, release readiness, and automation efforts that improve delivery speed and reliability
Own backend service development across the software development lifecycle
Define and enforce API design standards, versioning practices, and service reliability expectations
Build integrations with internal and external systems using modern service-based patterns
Write efficient, maintainable, and well-tested code with a strong focus on security and scalability
Collaborate across teams to reduce technical debt and improve platform consistency
Contribute to architectural reviews and influence backend technical direction
Help establish measurable service health indicators and operational guardrails
Your Skills & Abilities (Required Qualifications):
Bachelor’s degree in Computer Science, Software Engineering, Computer Engineering, or a related technical field, or equivalent practical experience
5+ years of professional software engineering experience
Strong hands-on experience building backend applications and production APIs
Proficiency in one or more backend programming languages such as Java, Kotlin, Python, Go, or similar
Experience designing and consuming RESTful APIs and service-to-service integrations
Experience working with cloud platforms and distributed systems
Strong understanding of software engineering fundamentals including testing, debugging, version control, and code review
Experience with relational and/or NoSQL databases, data modeling, and performance tuning
Demonstrated ability to independently solve moderately complex engineering problems and deliver production-quality software
Strong collaboration and communication skills
What Will Give You A Competitive Edge (Preferred Qualifications):
Experience building platform services or shared backend capabilities used by multiple teams
Experience with Azure and cloud-native architecture patterns
Experience with containerization and orchestration technologies such as Docker and Kubernetes
Experience with event-driven systems, messaging, or asynchronous processing
Experience with CI/CD pipelines, infrastructure automation, and DevOps practices
Experience with observability tooling, service monitoring, and operational support
Experience improving nonfunctional requirements such as security, scalability, reliability, and maintainability
Familiarity with regulated, enterprise, or large-scale product environments
Compensation: The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position, as well as geography of the selected candidate.
• The salary range for this role is $129,400 - $198,400. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.
• Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.
Benefits:
• Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.
#LI-SB3
The Autonomous Vehicle (AV) Microcontrollers (MCUs) team is responsible for developing the embedded software that provides the foundation of our AVs. Our software communicates with sensors, provides observability, enables autonomous operation, and manages system health.
As a Software Engineering Manager on the AV MCU Platform team, you will play a vital role in the design, development, delivery, and deployment of embedded software for MCUs on the AV. You will leverage your experience leading engineering teams and developing complex embedded systems to deliver highly impactful software, the foundation of world-class AV features and experiences. You will work cross functionally to extract and deliver on the needs of your stakeholders.
What You’ll Do
Lead, grow, and develop a team of embedded software engineers focused on AV MCU software.
Set technical direction, define execution priorities, and align the team on key engineering outcomes.
Partner closely with hardware, systems, middleware, test, manufacturing, program, and other cross-functional teams.
Drive delivery of high-quality production software that is safe, reliable, well-architected, testable, and delivered on schedule.
Establish and continuously improve engineering processes, including design reviews, code quality practices, debugging, root cause analysis, test coverage, and release readiness.
Remove team roadblocks and manage tradeoffs across scope, schedule, technical risk, and quality.
Mentor engineers and technical leads, build succession plans, and foster a high-performance culture centered on ownership, accountability, and continuous improvement.
Collaborate with Engineering Managers and Tech Leads to define and communicate technical direction and product strategy while anticipating scaling and long-term strategic challenges.
Promote a strong cross-functional culture of testing, safety, quality, and documentation across teams at GM.
Work with your team, Technical Project Managers, and external stakeholders to build, prioritize, and execute an engineering roadmap.
Conduct performance reviews, identify and develop top talent, and support growth into Technical Leadership and Engineering Management roles.
Partner with recruiting and leadership to build the organization and attract strong embedded and platform engineering talent.
Required Qualifications
Bachelor’s degree in Computer Engineering, Computer Science, Electrical Engineering, or work equivalent experience
8+ years of experience in embedded software, systems software, or platform software
2+ years of engineering management or technical team leadership experience
Strong experience with embedded C and C++
Self-motivated to lead your team, encourage best practices, and constantly improve
Excellent communication, execution, and people leadership skills
Experience managing an engineering team and initiatives in a mission-critical and fast-paced engineering organization
Experience identifying and driving process improvements
Successfully hired and onboarded new team members
Preferred Qualifications
Experience with DO-178, ISO-26262, or IEC-62304, and safety critical systems
Experience with SoCs, Embedded Linux, and complex Embedded Systems
Exposure to Linux kernel, IPC, kernel device drivers, GPU drivers
Experience with AUTOSAR, and Automotive Embedded Systems
Strategic, collaborative, and execution-focused
What Makes You Successful
You can operate effectively at both technical depth and organizational leadership altitude
You know how to build strong teams while maintaining a high bar for engineering quality
You are comfortable making decisions with incomplete information and driving alignment across multiple stakeholders
You translate complex platform challenges into clear priorities, execution plans, and business outcomes
You bring urgency, ownership, and a continuous improvement mindset to platform development
Our Design organization plays a critical role in realizing GM’s vision by shaping the emotional and functional character of every vehicle and experience we create. Within Global Design, the General Motors Performance Studio is at the forefront of expressive, driver-focused performance design that elevates our iconic nameplates and future products.
As a Creative Designer – Performance Studio, you will contribute to both advanced and production exterior performance design for General Motors performance vehicles and programs. You will focus on a range of performance-oriented products, including aero packages, exterior graphics, appearance packages, and performance accessories.
The ideal candidate is a highly creative, hands-on exterior designer with a deep understanding of performance vehicle proportion, brand character, aerodynamics, and motorsports-inspired aesthetics. You will collaborate closely with cross-functional partners in a fast-paced studio environment to deliver performance products that are both aspirational and authentic.
What You’ll Do
Drive the creative development of exterior performance design concepts for new and existing GM performance vehicles, programs, and accessories from early ideation through production execution.
Define and communicate a compelling performance design vision that aligns with each brand’s DNA and GM’s overall design strategy.
Generate high-quality sketches, renderings, and digital models that explore proportion, surface development, graphics, and aero elements with a strong sense of stance, emotion, and performance authenticity.
Partner closely with studio leadership, Clay and Digital Sculpting, Engineering, Aerodynamics, Performance Engineering, Marketing, and Program Management to balance design intent with feasibility, performance targets, cost, and timing.
Lead execution of exterior performance appearance and accessory programs, including body kits, spoilers, splitters, diffusers, wheels, and graphics/stripe packages.
Champion brand-appropriate performance graphics, color-breaks, and visual signatures that reinforce vehicle identity on both road and track.
Participate in design reviews, leveraging GM’s evolving digital design workflows (including VR reviews, digital visualization, and collaboration tools) to present design directions, gather feedback, refine quality, and accelerate decision-making while staying current on industry, motorsports, and cultural trends related to performance and customization.
Your Skills & Abilities (Required Qualifications)
Bachelor’s degree in Transportation Design, Industrial Design, or a related field from an accredited institution.
2+ years of professional experience in automotive exterior design with a strong portfolio demonstrating performance-oriented vehicle design, advanced and/or production exterior programs, and high-quality ideation sketches, renderings, and 3D collaboration.
Demonstrated experience developing exterior design themes or sub-programs from concept through production, working closely with clay and digital sculpting as well as engineering teams.
Expert-level sketching and visualization skills (traditional and digital) with proficiency in relevant design and visualization tools (such as Adobe Creative Suite, Alias, Blender, VRED, or similar).
Strong understanding of proportion, surfacing, aero principles, and performance design language, with proven ability to clearly present design intent, collaborate effectively in cross-functional teams, and work on-site at the GM Global Technical Center – Design Center West in Warren, MI with normal corporate flexibility.
What Will Give You A Competitive Edge (Preferred Qualifications)
Experience working specifically on performance or motorsports programs (road cars, track cars, racing, or aftermarket performance products).
Familiarity with GM brands and performance heritage, and enthusiasm for the performance and enthusiast community.
Experience with VR-based design reviews, real-time visualization, and/or innovative digital design workflows.
Strong storytelling skills, including the ability to connect design solutions to brand strategy, customer insights, and broader business objectives.
This team is responsible for secure-by-design controls across code, dependencies, developer tooling, build and release pipelines, containers, and third-party software. The work includes governance, open-source software security, software bill of materials, continuous integration and delivery controls, integrated development environment controls, and container security. This role is ideal for a leader who can turn strategy into execution, build strong teams, and partner across engineering to make secure delivery easier at scale.
The Role
As Manager, Software Supply Chain Security, you will lead a distinct cybersecurity function responsible for reducing software supply chain risk across GM. You will translate strategy into team direction, operating priorities, and measurable outcomes while making resource, workforce, and operational decisions that scale impact. You will work closely with software engineering, developer platform, cloud, infrastructure, procurement, and risk partners to embed practical security controls into the software lifecycle. You will own key performance indicators, drive continuous improvement, and help shape a developer-friendly security model that protects the business without slowing delivery. This is a high-impact leadership role for someone who can build talent, influence across organizations, and lead change in a complex technical environment.
What You’ll Do
Your Skills & Abilities (Required Qualifications)
What Will Give You A Competitive Edge (Preferred Qualifications)
The General Motors Manufacturing Group is seeking to identify highly motivated and qualified individuals for current and potential future opportunities as a Front Line Supervisor. In anticipation of these openings becoming available, we welcome you to apply so we can begin the pre-screening and interview process.
Onsite: This role is categorized as onsite. This means the successful candidate is expected to report to Parma, Ohio on a full-time basis.
The Role:
The Maintenance Group Leader will be responsible for leading a group of skilled, hourly workers to troubleshoot and repair complex equipment and processes. This position requires the ongoing application and enforcement of the National and Local UAW Agreements. Candidates must possess technical expertise to oversee and support maintenance operations, exercising independent judgment within the framework of Global Manufacturing Systems, with a focus on Safety, People, Quality, Responsiveness, Cost, and Environment (SPQRCE)
Selected candidates will gain the chance to develop new skills while contributing to the advancement of manufacturing processes that support the groundbreaking shift toward electric and autonomous vehicles.
What You'll Do (Responsibilities):
Specific physical requirements of the position include the ability to:
Your Skills and Abilities (Required Qualifications):
What Can Give You a Competitive Edge (Preferred Qualifications):
This role is categorized as on-site. This means the successful candidate is expected to report to HQ Building in Shanghai, China full time.
The Role
We are seeking a Research Analyst to join the China Customer Research team, with a primary focus on applying advanced AI capabilities to the frontier of customer research across UX, Tech & Feature, and GxDP studies. This role will lead the design and deployment of AI agents and tools to transform how we plan, execute, and synthesize research, while also owning key market research workstreams in support of China and global programs.
Your Skills & Abilities (Required Qualifications)
What Will Give You a Competitive Edge (Preferred Qualifications)
GM Human Interface Design – Vehicle Studio is seeking an experienced Designer who is passionate about collaboration across design, software, and engineering teams. In this role, you will be responsible for delivering world-class product experiences that impact millions of users through in-vehicle interfaces, including digital instrument clusters, touchscreens, and head-up displays (HUD). You will partner closely with other designers, researchers, engineers, and business stakeholders to craft meaningful, customer-centric experiences through thoughtful design. The ideal candidate has a strong understanding of user interface design and design systems, exceptional attention to detail, and a demonstrated commitment to delivering high-quality results.
What You’ll Do
Collaborate closely with team members and cross-functional partners to craft a premier user experience across our in-vehicle products and platforms.
Balance user needs, technical constraints, and business objectives to effectively solve complex design problems.
Develop production-ready interaction designs that adhere to established design guidelines and design systems.
Create design deliverables such as sketches, drawings, mockups, animations, and prototypes to clearly communicate design intent.
Release detailed production specifications and assets to software engineering teams to enable high-quality implementation.
Present design work and rationale to peers and leadership, incorporating feedback to refine solutions.
Partner with product teams and engineers to execute user interface designs as a seamless part of the overall user experience, advocating for aesthetics and visual design principles.
Participate in design critiques to give and receive feedback that guides design decisions and elevates quality.
Your Skills & Abilities (Required Qualifications)
5+ years of experience creating digital interfaces for web, mobile, or in-vehicle interfaces.
Formal training or degree in Interface Design, Visual Design, or a related discipline.
Strong portfolio with work samples showcasing UX expertise, interaction design, creativity, and depth of thought.
Successful track record of bringing digital products to market.
Proficiency with common design tools such as Figma and Adobe Creative Suite.
Demonstrated ability to partner with cross-functional teams to creatively solve challenging problems.
Strong problem-solving, organizational, and prioritization skills.
Excellent communication and facilitation skills across disciplines and levels.
Openness to experimentation with new tools, methods, and emerging technologies.
What Will Give You A Competitive Edge (Preferred Qualifications)
Prototyping experience; software and/or hardware development experience is a plus.
Ability to identify and apply appropriate technologies to achieve design and product goals.
Deep understanding of the competitive landscape for in-vehicle and digital interface experiences.
The General Motors Manufacturing Group is seeking to identify highly motivated and qualified individuals for current and potential future opportunities as a Group Leader. In anticipation of these openings becoming available, we welcome you to apply so we can begin the pre-screening and interview process.
Onsite: This role is categorized as onsite. This means the successful candidate is expected to report to Saginaw, Michigan on a full-time basis.
The Role:
The Maintenance Group Leader will be responsible for leading a group of skilled, hourly workers to troubleshoot and repair complex equipment and processes. This position requires the ongoing application and enforcement of the National and Local UAW Agreements. Candidates must possess technical expertise to oversee and support maintenance operations, exercising independent judgment within the framework of Global Manufacturing Systems, with a focus on Safety, People, Quality, Responsiveness, Cost, and Environment (SPQRCE)
What You'll Do (Responsibilities):
Specific physical requirements of the position include the ability to:
Your Skills and Abilities (Required Qualifications):
What Can Give You a Competitive Edge (Preferred Qualifications):
The Cyber Threat Intelligence Analyst is a critical individual-contributor role within GM's Security Operations organization that turns internal and external threat and vulnerability data into timely, actionable intelligence—directly enabling GM's cyber defenders to prioritize detection, incident response, and risk reduction across our IT, operational technology (OT), and connected-vehicle environments.
As a core member of the Cyber Threat Intelligence (CTI) team, you will monitor and analyze threat activity and emerging vulnerabilities relevant to GM, maintain and enrich indicators of compromise and foundational threat-actor profiles, and provide time-sensitive intelligence support during active incidents and executive requests for information (RFIs). You will operate GM's intelligence tooling day to day—ingesting, normalizing, and operationalizing feeds through platforms such as our Malware Information Sharing Platform (MISP) and SIEM—and ensure that curated intelligence reaches the Protect, Detect, and Respond teams that depend on it.
This is a hands-on, execution-focused role where you will collaborate closely with Cyber Defense, Product Cybersecurity, Manufacturing/OT Cybersecurity, Third-Party Cybersecurity, and external partners—including Information Sharing and Analysis Centers (ISACs), law enforcement, government agencies, and commercial intelligence providers—to ensure intelligence is aligned to GM's priority risks and security objectives. Your work will measurably improve the speed, quality, and effectiveness of GM's intelligence-driven defenses.
What You'll Do:
Monitor, triage, and analyze threat activity and emerging vulnerabilities relevant to GM's IT, OT, and connected-vehicle environments, and assess their potential impact and priority
Produce clear, actionable intelligence products—bulletins, vulnerability advisories, and threat-actor and campaign summaries—tailored to both technical defenders and executive audiences
Maintain and enrich indicators of compromise, tags, and foundational threat-actor profiles, and operationalize them to GM sensors, tools, and detection workflows
Ingest, normalize, and curate intelligence from ISACs, government and law enforcement partners, commercial feeds, and open sources using platforms such as MISP and the SIEM
Provide time-sensitive intelligence support during active incidents and complete executive and cross-functional RFIs with well-reasoned, confidence-rated assessments
Partner with Cyber Defense, Product Cybersecurity, Manufacturing/OT, and Third-Party Cybersecurity to align intelligence to GM's priority risks and translate requirements into collection and reporting
Track relevant adversary tactics, techniques, and procedures (TTPs), mapping activity to frameworks such as MITRE ATT&CK to strengthen detection coverage and reduce risk
Contribute to continuous improvement of CTI processes, playbooks, enrichment automation, and metrics that raise the maturity of GM's intelligence-driven defenses
Your Skills & Abilities (Required Qualifications):
2+ years of experience in cyber threat intelligence, security operations, incident response, threat hunting, or a related cybersecurity discipline
Working knowledge of the threat-intelligence lifecycle, indicators of compromise, and adversary TTPs, with familiarity with frameworks such as MITRE ATT&CK and the Diamond Model
Ability to analyze security and threat data, correlate across sources, and communicate findings clearly to both technical and non-technical audiences
Hands-on experience with threat-intelligence and detection tooling (e.g., threat-intelligence platforms such as MISP, SIEM, EDR/NDR) and open-source research techniques
Understanding of common attacker techniques, malware behavior, phishing and credential-theft campaigns, and vulnerability and CVE/CVSS concepts
Strong written and verbal communication skills, including the ability to produce concise intelligence products and time-sensitive assessments under deadline
Bachelor's degree in Information Security, Computer Science, Information Systems, or equivalent practical experience
What Can Give You a Competitive Advantage (Preferred Qualifications):
Experience supporting intelligence for OT/manufacturing (ICS, PLCs, plant-floor systems) or connected-vehicle and embedded environments
Familiarity with ISAC participation (e.g., Auto-ISAC), law enforcement, or government intelligence-sharing communities
Hands-on scripting experience (Python, PowerShell, KQL, or similar) to enrich indicators and automate investigative and reporting workflows
Experience with clear- and dark-web monitoring, brand/impersonation abuse, employment-fraud investigations, or attribution of online personas
Exposure to cloud environments (Azure, AWS, GCP) and integrating intelligence into cloud-native detection tooling
Relevant certifications (e.g., GCTI, GCIH, GCFA, Security+, or equivalent)
Prior experience in the automotive industry or a similarly complex, deadline-driven, and regulated field
#LI-SB3
]]>General Motors is a global leader in advanced driver assistance. With Super Cruise hands-free technology in more than 500,000 Super Cruise-equipped vehicles on the road, and over 700 million hands‑free miles driven, GM is proving that automation can be trusted, intuitive, and helpful. GM has the global reach to bring cutting‑edge advances to everyday drivers at unprecedented scale. Join us to help deliver the next generation of safe and delightful personal autonomous vehicle experiences.
About the Organization
The Evaluation team builds and evolves the evaluation ecosystem that powers developing and scaling GM’s autonomous driving technology. We develop metrics, automated workflows, and analysis approaches that enable data-driven decisions across AV development and verification. Partnering with Autonomy, Simulation, Systems, and Safety teams, we act as system-level integrators and arbiters of end-to-end AV quality. We own large scale test scenario libraries, continuous evaluation pipelines, and critical risk assessment and release gating components, treating road testing, data mining, training, and metrics as first-class use cases in a unified analytics framework. By joining this team, you will help shape GM’s core evaluation platforms, turn system-level results into clear feedback, and help accelerate validated AV deployment at scale.
What You’ll Do
Define the strategy and architecture for metrics and analyses to evaluate autonomous driving software performance across the autonomy stack.
Lead cross-functional efforts with autonomy, systems engineering, simulation, and data teams to embed evaluation into development workflows and release decisions.
Invent and drive new statistical and ML methods, and ML introspection techniques, to quantify performance, detect regressions, and reveal patterns of system behavior at scale.
Own and refine key AV evaluation metrics and KPIs used for readiness and safety decisions; synthesize and present results and tradeoffs to stakeholders; make insights readily available to partner teams through interactive dashboards.
Your Skills and Abilities (Required Qualifications)
7+ years applied experience with robotics or autonomous systems software, spanning multiple subsystems from perception through planning and control of the vehicle.
3+ years leading evaluation of complex dynamic systems using numerical and ML approaches on large-scale time series data.
Proficiency developing Python in production team environments; strong ability to work in large C++ autonomy codebases.
Proven cross-team technical leadership, including defining strategies adopted by multiple teams and influencing system and architecture decisions.
PhD, Masters, or Bachelor’s degree in Computer Science, Robotics, Mechanical or Aerospace Engineering, Machine Learning, or a related field.
What Will Give You a Competitive Edge (Preferred Qualifications)
Experience in autonomous driving or high-stakes field robotics; designing, running, and interpreting large-scale simulation and field experiments.
Deep familiarity with statistical modeling, experimental design, and hypothesis testing for autonomy evaluation; command of Pandas, NumPy, SciPy, and visualization libraries.
Proficiency in C++ and SQL, and experience shaping logging, data schemas, and evaluation pipelines for large-scale autonomy testing.
Experience working with ROS or other IPC, robotics stack logging, and with large-scale experiment databases, including designing or scaling evaluation platforms.
Prior development with computational geometry, linear algebra, PyTorch, and machine learning.
Background in modeling agent interaction and owning or designing release gating criteria and processes for autonomy systems.
Hybrid/Remote:
This role can be based remotely but if you live within a 50-mile radius of Sunnyvale or Mountain View you are expected to report to that location three times per week.
*This job may be eligible for relocation benefits if you are interested in relocating to the bay area.
Compensation
The salary range for this role is $185,00 and $284,100. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.
Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.
Benefits
GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.
Company Vehicle
Upon successful completion of a motor vehicle report review, you will be eligible to participate in a company vehicle evaluation program, through which you will be assigned a General Motors vehicle to drive and evaluate. Note: program participants are required to purchase/lease a qualifying GM vehicle every four years unless one of a limited number of exceptions applies.
#LI-TO1
The Role
At General Motors, we empower Product Managers to solve challenging customer and business problems. We seek passionate and innovative team members who can collaborate effectively within product management, program management, design, and engineering teams to discover and deliver impactful solutions. We hold our teams accountable for results and seek leaders who can influence teammates, stakeholders, and executives using data and logic.
As a Staff Product Manager you will define and drive the product strategy, requirements, and execution priorities for the systems that enable large-scale model training, experimentation, evaluation, and developer productivity across GM’s autonomous vehicle platform. This role will own critical product surfaces and workflows that help machine learning engineers, data scientists, and autonomy teams prepare training data, configure experiments, monitor progress, evaluate outcomes, and improve iteration speed.
Success requires strong technical judgment, deep customer empathy for ML practitioners, and the ability to translate complex training workflow needs into clear product requirements. You should be comfortable partnering closely with engineering, infrastructure, data, finance, and autonomy stakeholders; making principled tradeoffs across velocity, cost, reliability, and model quality; and influencing without direct authority in a highly technical environment.
What You’ll Do
Own product roadmap and execution for AI/ML training workflow capabilities that improve model development speed, training reliability, experiment traceability, and developer productivity.
Deeply understand the end-to-end ML training lifecycle, including data selection, dataset preparation, training job configuration, orchestration, monitoring, evaluation, debugging, and deployment handoffs.
Act as the voice of ML engineers, data scientists, autonomy developers, and infrastructure users by creating and running pain point intake loop, identifying workflow friction, productivity bottlenecks, and opportunities to reduce cycle time. Own framework to stack-rank and convert them into prioritized product requirements.
Define product requirements for training platforms, developer tools, observability systems, workflow automation, experiment management, and performance reporting.
Drive a metrics-based approach to product decisions by defining KPIs for developer productivity, training throughput, cost efficiency, experiment success rates, and time-to-insight.
Prioritize product investments by balancing customer impact, engineering complexity, infrastructure cost, model quality impact, and business urgency.
Fund unglamorous reliability and platform tech debt against competing demand for visible features, and of articulating that tradeoff to senior leaders in terms of throughput and cost beyond engineering hygiene.
Collaborate with engineering, program management, design, data platform, compute infrastructure, and finance teams to deliver high-impact capabilities on predictable timelines.
Use data, user research, workflow analysis, and internal benchmarking to inform roadmap decisions and validate whether shipped capabilities improve developer experience and productivity.
Communicate product status, tradeoffs, risks, and recommendations clearly to senior leaders, technical stakeholders, and cross-functional partners.
Mentor other product managers and cross-functional partners through technical product best practices, without direct people-management responsibility.
Stay current on AI/ML platform trends, developer productivity tooling, model training infrastructure, and competitive approaches to large-scale ML operations.
Your Skills & Abilities (Required Qualifications)
8+ years of product management or related technical product experience, including ownership of complex software platforms or developer-facing products.
Experience building products for AI/ML, data science, developer productivity, infrastructure, platform engineering, or other highly technical users.
Proven ability to define product vision, strategy, requirements, and success metrics for complex software products from concept through delivery and iteration.
Strong understanding of the ML lifecycle, including data pipelines, model training, experimentation, evaluation, performance analysis, and production handoffs.
Strong analytical skills with the ability to use quantitative and qualitative evidence to identify workflow bottlenecks, prioritize investments, and measure product impact.
Technical proficiency in working with complex software systems, distributed workflows, cloud or compute infrastructure, and data-intensive products. You must be able to independently reason for distributed training failures, like checkpoint recovery, GPU utilization loss, job variance, orchestration failures, and hold a reasonably technical debate with an ML engineer.
Excellent written and verbal communication skills, including the ability to explain technical concepts, tradeoffs, and recommendations to both technical and non-technical partners.
Demonstrated ability to partner with and influence senior stakeholders and cross-functional teams without direct reporting authority.
Comfort operating in ambiguous, fast-moving technical environments and making clear tradeoffs across speed, quality, cost, reliability, and user experience.
High ownership, resilience, and curiosity, with a track record of turning complex customer and engineering problems into practical product outcomes.
What Will Give You a Competitive Edge (Preferred Qualifications)
Master’s or Doctorate degree in computer science, engineering, data science, machine learning, or a related technical field.
Experience working directly with machine learning engineers, data scientists, or research teams on training platforms, experimentation systems, model evaluation workflows, or MLOps tools.
Experience improving developer productivity through workflow automation, observability, self-service tooling, platform simplification, or internal product development.
Experience with autonomous vehicles, robotics, simulation, perception, planning, or other data-intensive AI systems.
Experience driving change in large, complex organizations while partnering across product, engineering, infrastructure, finance, and program management teams.
Hybrid: This role is categorized as hybrid. This means the successful candidate is expected to report to the Warren Technical Center in Warren, MI or Sunnyvale, CA office three times per week, at minimum.
Compensation: The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of the California Bay Area.
The salary range for this role is $134,700 to $245,00. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.
Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.
Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.
Company Vehicle: Upon successful completion of a motor vehicle report review, you will be eligible to participate in a company vehicle evaluation program, through which you will be assigned a General Motors vehicle to drive and evaluate. Note: program participants are required to purchase/lease a qualifying GM vehicle every four years unless one of a limited number of exceptions applies.
#LI-RF1
#GM-AV-1
If you are a current employee of General Motors working in a per diem, hourly, or regular salaried role, you must apply through the internal careers page. Please navigate to https://workday.gm.com and search for GM Find Jobs.
The General Motors Manufacturing Group is seeking to identify highly motivated and qualified individuals for current and potential future opportunities as a Group Leader. In anticipation of these openings becoming available, we welcome you to apply so we can begin the pre-screening and interview process.
Onsite: This role is categorized as onsite. This means the successful candidate is expected to report to Wentzville, Missouri on a full-time basis.
The Role:
The Maintenance Group Leader will be responsible for leading a group of skilled, hourly workers to troubleshoot and repair complex equipment and processes. This position requires the ongoing application and enforcement of the National and Local UAW Agreements. Candidates must possess technical expertise to oversee and support maintenance operations, exercising independent judgment within the framework of Global Manufacturing Systems, with a focus on Safety, People, Quality, Responsiveness, Cost, and Environment (SPQRCE)
Selected candidates will gain the chance to develop new skills while contributing to the advancement of manufacturing processes that support the groundbreaking shift toward electric and autonomous vehicles.
What You'll Do (Responsibilities):
Analyze and respond promptly to the manufacturing daily plan, making necessary adjustments to operations as required
Manage multiple tasks in a fast-paced environment with competing priorities
Drive accountability through people and processes which may require difficult conversations
Conduct appropriate checks and tests, and communicate evaluation of results
Proactively offers solutions to operational or technical issues
Perform preventative maintenance and diagnosis of equipment malfunctions
Maintains productivity and quality in line with organizational standards
Implement divisional and corporate policies and safety and good housekeeping practices
Maintain frequent contact and collaboration with others outside of the work group
Supervises the efficient use of labor, inventory, and machinery
Establish a course of action to accomplish completion of the job and/or project
Specific physical requirements of the position include the ability to:
Work in a loud manufacturing environment that may not be climate controlled (conditions can be hot or cold)
Possess good physical stamina and coordination to frequently and repetitively:
Bend, twist, kneel, crouch and reach to perform work
Lift or carry materials weighing up to 15 lbs. and periodically carry or lift materials weighing up to 40 lbs.
Walk and stand for prolonged periods of time
Occasionally sit, climb (including ladders and lifts) and drive vehicles and equipment
Read standardized work instructions, operate machines and tools, and perform quality inspections
Promptly detect and respond to safety instructions, alarms, and signals
Wear personal protective equipment, for example: safety glasses, gloves, hats, ear plugs, and safety shoes
Your Skills and Abilities (Required Qualifications):
One year of direct team supervisory experience or at least 5 months as an internal GM per diem group leader
Experience solving complex problems and working in a fast-paced environment
Strong interpersonal skills, experience managing conflict and decision making
Experience managing, leading people, and addressing performance concerns
Demonstrate a high analytical ability to solve complex problems
Basic computer proficiency (i.e., Microsoft Word, typing, email, etc.)
May be required to work mandatory overtime, which includes extended hours, weekends, and holidays as dictated by business demands
Must be willing to work rotating shifts
18 years of age or older
High School Diploma or equivalent
What Can Give You a Competitive Edge (Preferred Qualifications):
Strong critical thinking and analytical skills
Experience working on multiple projects simultaneously
Willingness to ask questions, take initiative and be resourceful
High level of integrity, ability to deal with ambiguity, self-directed
Experience collaborating across multiple functions within a manufacturing setting
Experience supervising employees in a union environment
Knowledge of timekeeping systems
Experience reading and understanding electrical, pneumatic, and hydraulic blueprints
If you are a current employee of General Motors working in a per diem, hourly, or regular salaried role, you must apply through the internal careers page. Please navigate to https://workday.gm.com and search for GM Find Jobs.
The General Motors Manufacturing Group is seeking to identify highly motivated and qualified individuals for current and potential future opportunities as a Group Leader. In anticipation of these openings becoming available, we welcome you to apply so we can begin the pre-screening and interview process.
Onsite: This role is categorized as onsite. This means the successful candidate is expected to report to Marion, Indiana on a full-time basis.
The Role:
As a Group Leader in Production, Quality, or Global Supply Chain (GSC), you will be responsible for leading teams of employees or technical personnel to drive operational excellence across manufacturing processes. This includes managing daily operations, developing and improving business processes, and fostering a culture of teamwork and collaboration.
In this role, you may oversee production activities, quality assurance, inspection, problem-solving, and GM Built-in-Quality initiatives. You will be expected to apply independent judgment within the framework of Global Manufacturing Systems, with a strong focus on Safety, People, Quality, Responsiveness, Cost, and Environment (SPQRCE).
What You'll Do (Responsibilities):
Production & Operational Management
Analyze and adjust daily manufacturing plans; manage manpower allocation and respond promptly to issues to maintain production flow.
Manage multiple tasks in a fast-paced environment, navigate ambiguity, and drive accountability through people and processes.
Continuous Improvement & Lean Practices
Improve business results using Lean Manufacturing; identify and eliminate waste for Safety, Quality, Throughput, and Cost.
Develop and maintain Throughput Improvement Process action sheets; lead corrective and preventive actions and generate Quality Alert Boards (QABs).
Quality & Compliance
Enforce quality processes with customer safety at the center; perform critical confirmations and ensure compliance requirements.
Drive quality through effective feedback/feedforward communication and resolve discrepancies promptly.
Leadership & Team Development
Coach and mentor team members and Team Leaders to foster skill development and adherence to standard work practices.
Conduct disciplinary interviews, manage grievances, and collaborate with union partners effectively.
Data-Driven Decision Making
Locate and analyze operational data to support accountability and continuous improvement initiatives.
Specific physical requirements of the position include the ability to:
Work in a loud manufacturing environment that may not be climate controlled (conditions can be hot or cold)
Possess good physical stamina and coordination to frequently and repetitively:
Bend, twist, kneel, crouch and reach to perform work
Lift or carry materials weighing up to 15 lbs. and periodically carry or lift materials weighing up to 40 lbs.
Walk and stand for prolonged periods of time
Occasionally sit, climb (including ladders and lifts) and drive vehicles and equipment
Read standardized work instructions, operate machines and tools, and perform quality inspections
Promptly detect and respond to safety instructions, alarms, and signals
Wear personal protective equipment, for example: safety glasses, gloves, hats, ear plugs, and safety shoes
Your Skills and Abilities (Required Qualifications):
One year of direct supervisory experience or at least 5 months as an internal GM per diem group leader
Experience managing, leading people, and addressing performance concerns
Experience solving complex problems and working in a fast-paced environment
Strong interpersonal skills, experience managing conflict, and decision making
Demonstrate a high analytical ability to solve complex problems
Basic computer proficiency (i.e. Microsoft Word, typing, email etc.)
Must be willing to work weekends and rotating shifts
18 years of age or older
High School Diploma or equivalent
What Can Give You a Competitive Edge (Preferred Qualifications):
Knowledge of Continuous Improvement Processes (CIP)
Proficient in Throughput Improvement Process (TIP)
Advanced understanding of manufacturing and assembly processes
Experience supervising employees in a union environment
Supply Chain or Quality Experience
Experience implementing Built-in-Quality Initiatives
Red X & DFSS Certification
Lean Manufacturing experience
Knowledge of timekeeping systems
The Role
We are seeking a Senior Systems Engineer to lead the implementation, integration, and operationalization of AI/Machine Learning (AIML) solutions for the CAE engineering community. In this role, you will implement AIML based POC's as well as turn those POC's into robust, supportable capabilities by installing, configuring, and integrating commercial and custom AIML tools with GM’s CAE applications, HPC environments, and data platforms. You will partner closely with CAE engineers, other systems engineers, and infrastructure teams to ensure these solutions are reliable, performant, and straightforward for engineering users to adopt at scale.
What You’ll Do (Responsibilities)
Lead the installation, configuration, and integration of AIML software and services into existing and new CAE workflows, including on-prem and cloud/HPC environments.
Integrate CAE tools, data sources, and AIML components (e.g., APIs, agents, pipelines, UIs) with enterprise platforms such as HPC clusters, Azure, data lakes, and Simulation Process and Data Management solutions.
Define and maintain system-level requirements, interfaces, and architecture diagrams for AIML-enabled CAE solutions, ensuring traceability and alignment with enterprise standards.
Develop and execute installation, integration, and regression test plans to validate end-to-end CAE workflows, including performance, reliability, and security checks.
Partner with CAE engineers and business stakeholders to harden and scale successful AIML POCs, including packaging, deployment, monitoring, and support hand-off.
Establish and improve operational processes (versioning, configuration management, logging, observability, incident response) for AIML-enabled CAE applications.
Ensure all solutions comply with GM security, data governance, and responsible AI guidelines, including appropriate handling of engineering and proprietary data.
Create and maintain user guides, runbooks, and integration documentation to support CAE engineers, support teams, and partner IT organizations.
Provide technical leadership and mentorship to peers and junior engineers on CAE integration patterns, AIML solution deployment, and systems engineering best practices.
Stay current on emerging AIML and CAE software capabilities and recommend pragmatic opportunities to simplify workflows, improve throughput, and reduce cycle time for engineering teams.
Your Skills & Qualifications (Required)
Bachelor’s degree in Systems Engineering, Computer Science, Mechanical/Automotive Engineering, or a related technical field.
7+ years of experience in systems engineering and/or software integration roles, with a focus on complex, distributed or HPC-based systems.
Hands-on experience installing, configuring, and integrating engineering or scientific software (e.g., CAE solvers, pre/post tools, optimization/MBSE/AI tools) across desktop, HPC, and/or cloud environments.
Strong background in systems engineering practices (requirements, interfaces, architecture, validation, and lifecycle management).
Practical understanding of AI/ML concepts and patterns (e.g., model endpoints, inference services, pipelines, RAG/agentic workflows) and how they integrate into applications and workflows.
Proficiency with scripting and automation (e.g., Python, shell, CI/CD tools) for installation, configuration, and validation of integrated systems.
Experience working with HPC or cloud-based compute environments (e.g., job schedulers, containers, GPU resources, monitoring and logging tools).
Demonstrated ability to collaborate with cross-functional teams (CAE engineers, software developers, data scientists, infrastructure, cybersecurity) to deliver integrated solutions.
Excellent communication, documentation, and stakeholder-management skills; able to explain complex technical topics to diverse audiences.
What Will Give You a Competitive Edge (Preferred)
Master’s degree in Engineering, Systems Engineering, Computer Science, or a related field.
Direct experience with CAE tools and workflows (e.g., structural, CFD, optimization, SPDM/EPDM) and how engineering teams run simulations in practice.
Experience integrating or deploying commercial AIML/physics-AI tools within engineering environments.
Familiarity with GM-like enterprise environments (regulated, safety-critical, or automotive) and associated security and compliance expectations.
#LI-CK1
Gm does not provide immigration-related sponsorship for this role. Do not apply for this role if you will need gm immigration sponsorship (e.g., H-1B, TN, STEM, OPT, etc.) Now or in the future.
This job may be eligible for relocation benefits.
]]>The Role
The Marketing Applied Sciences (MAS) team develops analytics-driven solutions that help GM organizations achieve their business goals.
As the Group Strategy Manager, you will lead marketing measurement and optimization for the Customer Care and Aftersales (CCA) brand and serve as the primary liaison between brand stakeholders, MAS, and technical teams.
You will lead a cross-functional squad of analytics strategists focused on marketing analytics, media optimization, audience strategy, and enterprise data and analytics platforms. Success in this role requires exceptional business acumen, strategic thinking, and the ability to translate complex data into actionable recommendations that accelerate decision-making and improve marketing performance.
What You’ll Do
Lead and coordinate the CCA squad as the single point of contact between the brand, MAS, and other technical teams.
Oversee marketing analytics initiatives spanning campaign optimization, audience selection, consumer engagement, and media performance measurement.
Identify, prioritize, and execute high-impact analytics projects that improve marketing performance and ensure seamless delivery.
Lead reporting and translate data-driven insights into clear strategic recommendations for CCA marketing leaders.
Drive adoption of next-best actions and advanced analytics methodologies across the CCA marketing organization.
Manage squad resource allocation, project prioritization, and delivery dependencies to maximize impact and efficiency.
Build strong relationships with brand stakeholders and stay current on performance marketing, media optimization, and marketing measurement trends to advance innovation.
Your Skills & Abilities (Required Qualifications)
Bachelor’s degree in Marketing, Data Science, Statistics, Business Analytics, or another quantitative field.
At least 7 years of experience in Marketing Analytics, Performance Marketing, or a related strategic analytics role.
At least 2 years of experience leading cross-functional teams in marketing measurement, media optimization, audience strategy, or a related discipline.
Strong expertise in performance marketing analytics, including media mix modeling, attribution analysis, audience segmentation, and campaign optimization.
Proficiency in Python, SQL, and data visualization tools.
Experience with marketing technology platforms, media measurement tools, and performance marketing channels.
Demonstrated ability to manage complex analytics projects from concept through implementation with measurable business impact.
Excellent communication and presentation skills, including the ability to influence technical teams and senior brand leadership.
Strong business consulting skills, including the ability to frame strategic problems and develop data-driven solutions.
Ability to work in a fast-paced environment while maintaining attention to detail and high-quality standards.
What Will Give You A Competitive Edge (Preferred Qualifications)
Master’s degree in Marketing, Data Science, Statistics, Business Analytics, or another quantitative field.
Experience in automotive marketing or consumer durables.
Experience working with enterprise data and analytics platforms in a large, complex organization.
Experience leading marketing measurement and optimization programs for a major consumer brand.
The salary range for this role is ($134,700 - $207,600). The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.
Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.
Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.
Work Arrangement:
This role is categorized as hybrid. This means the successful candidate is expected to report to the office four times per week or other frequency dictated by the business.
What You’ll Do
Lead digital transformation initiatives in automotive paint manufacturing by implementing Digital Manufacturing and Smart Factory solutions.
Deploy AI/ML, Computer Vision, XR and Advanced Analytics solutions to improve FTQ, equipment reliability, process efficiency, and virtual validation in Paint engineering activities.
Develop, deploy, and sustain Digital Twins for paint shop products, processes, and equipment's while establishing an end-to-end digital thread across PLM, CAD, Simulation, MES, and shop-floor systems to enable traceability, virtual validation, and data-driven decision-making.
Design and validate vision systems for defect detection, color consistency, sealer quality, coating coverage, and film thickness evaluation.
Configure AI agents and automation workflows by integrating enterprise data, engineering tools, and knowledge repositories.
Automate CAD/PLM solutions using APIs, macros, templates, and rule-based engineering tools to improve engineering productivity integrated with PLM systems.
Develop CAD-to-XR pipelines to support virtual reviews, training, manufacturing validation, and collaboration.
Support paint facility execution, virtual commissioning, and launch activities for greenfield and brownfield projects.
Drive paint process improvements focused on quality, warranty cost reduction, FTQ, and equipment uptime.
Provide paint warranty analysis, technical reporting, and simulation-based recommendations for global manufacturing operations.
Your Skills & Abilities (Required Qualifications)
Bachelor’s degree in Mechanical/ Chemical/ Paint Engineering, or a related field with a certification or special interest in AI and Data Science.
5+ years of experience in Digital Transformation, Digital Twin/Digital Thread implementation, Industrial Automation, XR technologies, and Vision Systems within automotive or discrete manufacturing environments with an ability to translate business requirements into scalable digital and automation solutions.
Proven experience in developing and deploying AI/ML, Smart Factory, Advanced Analytics, Computer Vision, and Digital Twin solutions for manufacturing applications.
Hands-on experience in Digital Twin, XR, and industrial metaverse platforms (NVIDIA Omniverse, Siemens Xcelerator, Azure Digital Twins, 3DEXPERIENCE, etc.) preferred.
Knowledge of AI/ML technologies including LLMs, RAG, TensorFlow, PyTorch, deep learning frameworks, ETL pipelines, and Databricks.
Proficiency in Python, SQL, C++, C#, VB Script, APIs, data pipelines, Power BI dashboards, and AI-agent workflow development for industrial digital solutions.
Working knowledge of CAD automation platforms and APIs (AutoCAD, NX Open, CATIA CAA, SolidWorks API) preferred.
Familiarity with industrial robotics and simulation tools such as FANUC, Dürr systems, ROS 2, Isaac Sim, and DDS is an advantage.
Knowledge of automotive paint shop processes, equipment, materials, and manufacturing operations.
Experience in automotive paint shop launches, facility execution, process setup, and virtual commissioning preferred.
Strong analytical, problem-solving, communication, and stakeholder management skills.
Willingness to travel globally based on business requirements (up to 50-70%).
The Senior Product Cybersecurity Engineer, Product Security Incident Response Team (PSIRT) role sits within the broader Product Cybersecurity organization at General Motors and focuses on responding to and managing product security vulnerabilities across GM’s portfolio. Through rigorous investigation, technical risk analysis, and close collaboration with engineering and cross-functional partners, this engineer helps ensure that product security issues are triaged, remediated, and learned from in a consistent and defensible way.
What You'll Do
Investigate and triage product security reports across vehicle, mobile, API, and backend software
Analyze exploitability, customer impact, and risk, and recommend severity and treatment
Partner with product and engineering teams on remediation plans, timelines, and validation
Validate fixes and mitigations to ensure vulnerabilities are resolved with sufficient quality
Contribute to PSIRT processes, playbooks, and tooling to improve consistency and response speed
Work as part of PSOC and closely with SOC, bug bounty, disclosure, and legal on product incidents
Your Skills & Abilities (Required Qualifications)
6+ years of direct experience in product security, security engineering, and/or incident response
Hands-on experience analyzing software, firmware, or system vulnerabilities and exploitability
Familiarity with common vulnerability classes, CVEs/CVSS, and coordinated disclosure practices
Able to read and write software in multiple languages for analysis and remediation guidance
Experience working with engineering and product teams to drive timely, effective remediation
Strong written and verbal communication skills for technical and non-technical audiences
What Will Give You A Competitive Edge (Preferred Qualifications)
Experience with automotive, embedded, or connected product environments
Prior experience in a PSIRT, PSOC, or similar product-focused security response function
Experience building or using tools and dashboards for vulnerability intake, tracking, and reporting
Experience contributing to internal / external security advisories and customer communications
What You'll Bring
A calm, structured approach to handling security issues under time pressure
Strong judgment on risk, prioritization, and what is materially important to fix
A collaborative style that builds trust with engineers and cross-functional partners
A bias toward clear action, closure, and learning from each incident or vulnerability
A focus on improving PSIRT processes and tooling so security response gets better over time
Team Overview
GM’s Motorsports Software team analyzes, defines, and delivers next-generation, groundbreaking Motorsports IT software solutions. Using innovative cloud-based infrastructure and modern software development standards, these solutions enable seamless interaction between GM Global Engineering, GM Motorsports, and our race teams—helping accelerate our drivers to the finish line first.
Our combined team partners closely with GM Motorsports Engineering and race teams to ensure podiums and wins for GM’s F1, NASCAR, IndyCar, WEC, and IMSA programs.
This role is part of a new GM Motorsports software team in Ireland, working at the heart of our global race engineering and data ecosystem.
The Role
The software group supporting Motorsports and the Race Vehicle Platform is looking for a Senior Software Developer to join our new Ireland based team.
In this role, you will lead and contribute to the delivery of complex software projects, developing applications using a variety of tools, languages, frameworks, and technologies. You will be working in a high-pace, event-driven environment where reliability, performance, and usability directly impact trackside performance.
This role includes on-call support which will include weekends and shift rotation aligned to the global motorsports calendar and critical track/test events.
In this role, you will lead and contribute to the delivery of complex software projects, developing applications using a variety of tools, languages, frameworks, and technologies. You will be working in a fast pace, event-driven environment where reliability, performance and usability directly impact trackside performance.
Key Responsibilities
Full lifecycle application development using standard frameworks, coding standards, and design patterns
Develop high-quality software applications using sound, repeatable, industry-standard methodologies
Demonstrate proficiency across multiple programming languages, tools, and technologies
Perform performance tuning, profiling, and usability assessment/improvement
Identify and remediate software issues related to code quality, security, patterns/frameworks, and usability
Debug, maintain, and enhance live software systems used in critical motorsports operations
Collaborate with cross-functional partners in Motorsports Engineering, trackside operations, and Global Engineering
Mentor junior software developers and review code to uphold team standards and best practices
Work Schedule & On-Call Expectations
Participate in an on-call rotation to support critical race and test operations
Weekend and shift work required, including early mornings, evenings, and select holidays, aligned to race schedules and key track events
Flexibility to adjust working hours during race weeks and major motorsports events
Ability to support urgent production issues outside standard business hours when needed
Required Qualifications
Minimum 7 years of professional software development experience
Minimum 3 years of experience developing web or Electron applications
Excellent technical knowledge of C#/.NET and React
Strong experience and knowledge of Azure and Azure resources
Solid understanding of software development best practices (code reviews, CI/CD, testing, documentation)
Experience working in an agile/scrum environment
UI design experience and a strong understanding of UX principles
Strong knowledge and understanding of different web platforms and reuse strategies
Proven track record of maintaining and debugging live software systems in production
Preferred Qualifications
Previous experience in, or strong passion for, Motorsports and working in a high-pace, event-driven environment
Master’s degree in Mechanical Engineering and/or Computer Science
Experience with cloud computing-based distributed systems
Experience supporting mission-critical or real-time applications where uptime and performance are essential
Hybrid - This role is categorized as hybrid. This means the successful candidate is expected to report to our Dublin/ Limerick office three times per week, at minimum [or other frequency dictated by the business].
We are seeking a Senior Manufacturing Engineer to provide technical leadership and operational support within the Body Shop. This role is responsible for improving manufacturing processes, supporting maintenance and production teams, and driving solutions that align with Safety, People, Quality, Responsiveness, Cost, and Environment priorities. The ideal candidate is a strong planner, a versatile problem solver with Fanuc robotic experience, and a leader who understands Body Shop cell structure, station flow, automation, tooling, and dimensional quality requirements.
What You'll Do
Provide technical leadership and day-to-day support for Body Shop operations, maintenance, tooling, automation, and quality systems.
Plan, prioritize, and coordinate maintenance, engineering, and production activities to support uptime, throughput, quality, and safe execution.
Serve as a technical resource for skilled trades, production teams, salary teams, outside vendors, and cross-functional partners.
Apply strong knowledge of Fanuc robots, Body Shop cells, station flow, tooling, conveyors, automation systems, and manufacturing equipment to diagnose issues and implement effective countermeasures.
Support breakdown response, root cause analysis, project planning, equipment installation, commissioning, validation, and start-up activities.
Work with headquarters manufacturing engineering teams and plant partners to commission, install, validate, and improve automation solutions.
Analyze dimensional data from CMM, Perceptron Vision Systems, and related quality inputs to drive build-to-nominal performance.
Manage Body Mechanical Control procedures, including A, B, C, and E31 data and metrics, to support Body Shop metric achievement.
Lead problem-solving activities with Stamping, Body Shop, Paint, General Assembly, suppliers, and outside partners to resolve process and quality issues.
Support corrective actions for customer dissatisfaction concerns affecting GCA, DRR, DRL, and other quality performance indicators.
Maintain regular communication with internal and external partners and present planned maintenance items, open issues, and improvement plans to leadership.
Promote a safe work environment while supporting ISO, GMS, TIP, documentation, calibration, and standard work requirements.
Your Skills & Abilities
Bachelor’s degree in Engineering or currently pursuing an Engineering degree.
Minimum of 3 years of experience in Body Shop tooling, manufacturing dimensional processes, or related manufacturing engineering support.
Demonstrated experience with Fanuc robotic systems, process troubleshooting, and automation support in a manufacturing environment.
Strong understanding of Body Shop cell structure, station-to-station flow, manufacturing constraints, and process interdependencies.
Broad knowledge of manufacturing equipment, robotics, automation, tooling, quality systems, and maintenance processes.
Experience supporting new equipment build, installation, start-up, process validation, and launch readiness activities.
Strong planning, organization, and follow-through skills with the ability to anticipate needs and drive issues to closure.
Well-developed written and verbal communication skills with the ability to adapt communication across trades, production, engineering, vendors, and leadership.
Demonstrated ability to lead cross-functional teams, coordinate priorities, and make sound decisions within established procedures and company guidelines.
Extensive ISO knowledge and experience supporting GMS principles and continuous improvement activities.
Willingness to rotate shifts or work off-shifts as business needs require.
As a Design Release Engineer (DRE) for Active Thermal Hardware, you will lead the design, development, validation, and release of thermal management components and subsystems. This includes heat exchangers, cooling fans, shrouds, compressors, sensors, and associated hardware. You will collaborate cross functionally with internal teams and suppliers to ensure robust, cost effective, and timely delivery of components that meet vehicle performance and integration requirements. Specific subsystem performance responsibilities include impacts to coolant and refrigerant loop performance.
This role requires a high level of technical expertise, independent judgment, and leadership in managing complex engineering projects. You will be expected to drive innovation, resolve technical challenges, and contribute to continuous improvement initiatives across programs.
Lead product development activities for thermal components and subsystems.
Develop and release components to meet requirements, Statement of Requirements (SOR), Component Technical Specifications (CTS), and Subsystem Technical Specifications (SSTS).
Conduct design studies, peer reviews, alternative analyses, and recommend design direction based on cost, total enterprise cost, performance, mass, timing, ability to manufacture, quality and part assembly process.
Define Interface Control Document (ICD) requirements and negotiate with interfacing components (mechanical, electrical, software, calibration).
Manage supplier relationships and ensure timely execution of deliverables.
Coordinate cross functional activities with Purchasing, Supplier Quality, Vehicle Validation, Calibration, Manufacturing, Technical Specialists, and Design teams.
Support and lead Product Development Team (PDT) meetings and peer reviews.
Ensures complete validation of released components and establishment of a validation plan.
Validate designs using analytical tools (e.g., FEA, CFD, modal analysis, virtual builds).
Ensure compliance with GM standards, best practices, and program imperatives.
Lead problem solving efforts for production and launch issues.
Translate lessons learned into best practices and apply them in future designs.
Stay abreast of emerging technologies and support test and development programs.
Bachelor’s degree in Mechanical, Electrical, or Thermal Engineering.
Minimum 5 years of experience in component or subsystem design and release.
Strong understanding of thermal systems, HVAC, and fluid handling components.
Proficiency in CAD (UGNX preferred), Teamcenter, and engineering analysis tools.
Experience with validation planning and execution.
Strong communication and project management skills.
Ability to travel (up to 20%) and legally operate a motor vehicle.
DFSS Green Belt Certification (Black Belt preferred)
GD&T Certification (Geometric Dimensioning and Tolerancing)
Design for Manufacturing (DFM) and Design for Assembly (DFA) training
FMEA (Failure Mode and Effects Analysis) training or certification
DRBFM (Design Review Based on Failure Mode) training
CAD/CAE Tool Proficiency Certification (UGNX preferred)
Prior GM experience with thermal or HVAC components.
Familiarity with GM tools and processes (ECM, PRTS, ICD, ECR, SOR, TWO, GVDP, GD&T).
Experience with Development, Validation, Warranty Analysis, DRBFM, DFMEA, PFMEA, and GM Quality Chain.
Knowledge of manufacturing processes and vehicle integration.
Experience leading cross functional teams and supplier management.
As part of the application process, Artificial Intelligence will be used in the hiring process for this role
Hybrid :
This role is categorized as hybrid. This means the successful candidate is expected to report to Markham Elevation Center three times per week, at minimum
About the role:
The Staff System Architect – CoSim Diagnostics, NVM, Network & Data/Release owns the end‑to‑end architecture for:
You will define how these behaviors and data flows are modeled, integrated into pipelines and exposed to test, quality, and program stakeholders, while ensuring alignment with security, safety, and release governance.
Key Responsibilities
1) CoSim & Virtual Platform Architecture (Diagnostics / NVM / Network)
2) Data / Release, Traceability & Documentation (SILART & Virtualization)
3) HV/LV & Charging Domain
Your Skills & Abilities (Qualifications)
What Can Give You a Competitive Edge (Preferred Qualifications)
What You’ll Bring
Compensation:
The salary range for this role is $147,000 to $196,600. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.
GM DOES NOT PROVIDE IMMIGRATION-RELATED SPONSORSHIP FOR THIS ROLE. DO NOT APPLY FOR THIS ROLE IF YOU WILL NEED GM IMMIGRATION SPONSORSHIP NOW OR IN THE FUTURE
Benefits:
The goal of the General Motors of Canada total rewards program is to support the health and well-being of you and your family. Our comprehensive compensation plan currently includes the following benefits, in addition to many others:
REQUIREMENTS: Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, or related field of study and Five (5) years of experience as a Software Engineer or related occupation. Five (5) years of experience with: Embedded Software Development; Real-Time Operating Systems (RTOS), specifically FreeRTOS and SafeRTOS; Safety-critical software development with exposure to ASIL B and ASIL D standards in the automotive and industrial domain; C/C++ programming for embedded systems; Embedded hardware architectures, including processors, memory management, and peripherals; Linux-based embedded operating systems; Communication protocols including CAN, SPI, I2C, and UART; Linux kernel subsystems including UART; and Deploying commercial embedded systems.
Compensation:
• The expected base compensation for this role is $274,098.60 to $333,400.00 Annually.
• Actual base compensation within the identified range will vary based on factors relevant to the position.
• Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.
#LI-DNI
]]>This posting is not for an existing vacancy within the organization and is open to new applications. (New Head Count)
AI Disclosure:
As part of the application process, Artificial Intelligence will be used in the hiring process for this role
Hybrid:
This role is categorized as hybrid. This means the successful candidate is expected to report to Markham three times per week, at minimum [or other frequency dictated by the business].
About The Role:
General Motors is transforming how we develop and validate embedded controls and software as we move toward our Zero Crashes, Zero Emissions, Zero Congestion vision. We are seeking a Staff Software Architect – Mechatronics Controls Simulation to lead the technical architecture of simulation environments supporting GM’s Vehicle Body Controls domain (vehicle access, cabin thermal, occupant positioning, occupant protection, lighting, visibility, vehicle state, and related functions) within the Virtualization & SIL Integration (VnSI) organization.
In this role, you will own the end-to-end simulation architecture for the Vehicle Body Controls domain, define and govern CoSim packages, and lead variant and configuration management across programs and model years. You will partner closely with Simulation Integration Engineers (SIEs), System Integration Architects, Software Architects, and SW Quality Architects to ensure our simulation solutions are scalable, robust, and fully integrated into continuous integration (CI) pipelines for GM’s Software Defined Vehicle (SDV) Architecture.
Key Responsibilities:
GM DOES NOT PROVIDE IMMIGRATION-RELATED SPONSORSHIP FOR THIS ROLE. DO NOT APPLY FOR THIS ROLE IF YOU WILL NEED GM IMMIGRATION SPONSORSHIP NOW OR IN THE FUTURE
Benefits:
The goal of the General Motors of Canada total rewards program is to support the health and well-being of you and your family. Our comprehensive compensation plan currently includes the following benefits, in addition to many others:
This posting is for an existing vacancy within the organization and is open to new applications.
AI Disclosure:
As part of the application process, Artificial Intelligence will be used in the hiring process for this role
Work Arrangement: Hybrid: This role is categorized as hybrid. This means the successful candidate is expected to report to Markham or Oshawa office three times per week, at minimum.
The Role
We are seeking a highly skilled and motivated Staff Software Developer to join our Diagnostics Infrastructure Software team in the Autonomous Vehicle Integrity Platform department. In this role, you will act as the subject matter expert in diagnostic infrastructure software development, responsible for architecting new diagnostic software applications and core diagnostic software libraries, along with their interfaces.
The ideal candidate will possess strong analytical and problem-solving skills, with a proven ability to collaborate effectively in a cross-functional team environment. You should demonstrate exceptional attention to detail, a commitment to delivering high-quality software solutions, and the ability to adapt to changing priorities.
As a Staff Software Developer, you will play a critical role in defining the next generation of Diagnostic Infrastructure. Your work will be conducted in a collaborative engineering environment, where you will exercise the highest levels of creativity, initiative, and independent judgment.
Join us in delivering innovative solutions and technologies that enhance the GM vehicle ownership experience and ensure the long-term satisfaction of our customers. This is an exciting opportunity to contribute to the development of cutting-edge software solutions that enable efficient and accurate vehicle diagnostics across the GM Enterprise and GM Dealership network.
What You'll Do (Responsibilities)
Lead the diagnostic infrastructure software architecture development related to UDS and DTC Management.
Own the diagnostic infrastructure software application and library strategy for the development of in-house diagnostic software, collaborating effectively with cross-functional teams.
Create and manage comprehensive architecture diagrams and technical execution plans.
Deliver new diagnostic software solutions that comply with GM requirements and specifications. Consistently produce high-quality software through rigorous unit testing, thorough code reviews, and frequent check-ins for continuous integration.
Review and approve Engineering Change Requests that impact GM Autonomous Vehicle Platform diagnostics globally.
Communicate technical issues and decisions efficiently to management.
Work with GM's manufacturing and service diagnostic teams to support new vehicle architectures, including Software Defined Vehicles (SDV).
Collaborate with other Platform teams (Cybersecurity, Programming, Serial Data Communication, etc.) to analyze and address potential UDS integration issues.
Assist in resolving production diagnostic problems by reviewing vehicle communication logs and other data records.
Serve as a technical lead, actively guiding and mentoring fellow developers on the team to foster growth, collaboration, and technical excellence.
Actively participate in hiring, development of technical questionnaires, resume reviews and perform interviews
Represent the GM Diagnostic Infrastructure Software Team internally and externally through automotive industry work groups (ISO, SAE).
There will be travel to the US one to two weeks of the year.
Your Skills & Abilities (Required Qualifications):
Bachelor’s degree in Computer Science, Computer Engineering, or a related field.
Proven expertise in C++ programming language and other object-oriented programming languages (e.g., Python)
A minimum of 8 years of experience in software design and development, with a strong focus on diagnostic software applications and diagnostic protocols (UDS).
Experience in diagnostic strategy and software architect.
Knowledge of vehicle diagnostic serial data protocols: UDS (ISO-14229) and DoIP (ISO-13400).
Experience reading vehicle communication logs collected from Ethernet bus loggers and Wireshark.
Understanding of vehicle electrical architecture systems and standards.
Strong problem-solving skills and the ability to troubleshoot complex issues.
Excellent communication skills and the ability to work effectively in a team environment.
Proven results in successful project execution.
What Will Give You A Competitive Edge (Preferred Qualifications):
Master’s degree in Software Engineering, Computer Science, Computer Engineering or related.
Experience in embedded software development on System-on-Chips (SoCs).
Familiarity with embedded Linux such as Yocto project.
Experience with CI/CD pipelines and automation tools.
Familiarity with ISO-26262.
Experience with vehicle Ethernet networking.
Compensation:
The salary range for this role is $147,000 to $196,600. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.
GM DOES NOT PROVIDE IMMIGRATION-RELATED SPONSORSHIP FOR THIS ROLE. DO NOT APPLY FOR THIS ROLE IF YOU WILL NEED GM IMMIGRATION SPONSORSHIP NOW OR IN THE FUTURE.
Benefits Overview:
The goal of the General Motors of Canada total rewards program is to support the health and well-being of you and your family. Our comprehensive compensation plan currently includes the following benefits, in addition to many others:
Paid time off including vacation days, holidays, and supplemental benefits for pregnancy, parental and adoption leave.
Healthcare, dental, and vision benefits.
Life insurance plans to cover you and your family.
Company and matching contributions to a Defined Contribution Pension plan to help you save for retirement.
GM Vehicle Purchase Plan for you and your family.
En GM, buscamos estudiantes apasionados por la innovación y el aprendizaje continuo. Como pasante, tendrás la oportunidad de:
🚀 Colaborar en proyectos desafiantes que impulsan el futuro de la movilidad.
🤝 Interactuar con líderes de la industria y desarrollar tu red de contactos.
🌍 Participar en eventos de networking y actividades de voluntariado.
📚 Potenciar tu crecimiento profesional en un entorno dinámico y multicultural.
Si estás listo para acelerar tu carrera, ¡postulate y sé parte de nuestro equipo!
Tendrás la posibilidad de realizar tu pasantía en alguna de las siguientes áreas:
Requisitos:
✅ Disponibilidad para iniciar el contrato de pasantía Diciembre (4 horas diarias de lunes a viernes/20 horas semanales).
🎓 Estudiantes universitarios avanzados (+60% de la carrera) de disciplinas académicas afines al área de interés. Se deberá contar con aval universitario.
🎯 Fecha de graduación deseable: entre diciembre 2027 o posterior. (El contrato de pasantía tendrá una duración de 12 a 18 meses).
💻 MS Office: Nivel Intermedio.
🌍 Inglés: Nivel Intermedio conversacional.
🏢 Modalidad de trabajo: presencial o híbrida, según el área de asignación.
📍 Ubicación de trabajo para pasantias de Complejo Automotor Chevrolet ubicado Vicente López Bs. As.Argentina.
Habilidades deseables:
📊 Se valorarán conocimientos en: Power BI, manejo de SAP y bases de datos.
IMPORTANT: To view the full job description in spanish, use your Workday system in English.
#LI-PSM
This role is categorized as on-site. Successful candidates are expected to work full time from the GM China Advanced Technical Center in Shanghai, China.
GM China Design Studio is both a production design studio and an advanced design studio. We shape meaningful vehicle experiences for GM brands serving customers in China and global markets, connecting near-term production programs with forward-looking exploration.
We are committed to creating an exceptional design environment where creativity, beauty, craftsmanship, and storytelling can thrive. Our designers work across disciplines and cultures to translate customer understanding, brand identity, emerging technologies, and new forms of mobility into compelling exterior design proposals.
This evergreen requisition is established for talent pipelining purposes. GM China Design Studio is building a long-term pipeline of exceptional Exterior Designers across multiple levels, including Creative Designer, Senior Exterior Designer, and Lead Exterior Designer, in support of current and anticipated business needs.
We welcome applications from outstanding designers around the world who are interested in contributing to exciting production programs and advanced design work in our China studio. Depending on business needs and the candidate’s experience, future opportunities may involve different levels of responsibility, program scope, and creative leadership.
When submitting your application, please include:
After your application is submitted, our recruiting and design teams will review your materials. If there is alignment with a current or future opportunity, a recruiter will contact you to discuss potential next steps. Because this is an evergreen requisition, the timing of contact may vary according to business needs and the fit between your experience and upcoming opportunities.
If you do not meet every element listed below but are interested in exploring an opportunity with GM China Design Studio, we still encourage you to apply. We value distinctive creative perspectives, strong design potential, and the ability to contribute to a collaborative studio environment.
The Role -
Exterior Designers in GM China Design Studio help define the visual identity, proportion, stance, and emotional character of future vehicles and mobility products for China and global markets. Depending on level and experience, you may contribute to or lead exterior themes and component design from early advanced exploration through production execution, creating proposals that are distinctive, customer-relevant, brand-expressive, and technically achievable.
You will collaborate with designers and partners across exterior design, sculpting, engineering, fabrication, modeling, product planning, customer research, and global design studios. The scope of your contribution may range from developing sketches and digital or physical design proposals to directing programs, presenting to senior leadership, and mentoring other designers.
Your responsibilities may include the following, depending on your level, experience, and assigned program:
We welcome designers with different career paths, backgrounds, and levels of experience. The following qualifications are intended to describe the capabilities that may be relevant to these opportunities rather than serve as a checklist that every applicant must fully satisfy.
You will have the opportunity to work in a studio that connects advanced design exploration with real production impact. You will collaborate with colleagues across China and the global GM Design network, contribute to vehicles and mobility products for diverse customers, and help shape the next generation of exterior design through creativity, beauty, technology, and storytelling.
We are interested in meeting exceptional designers at different stages of their careers. Your portfolio, perspective, and potential may align with an opportunity even if your experience does not map perfectly to every item in this description.
]]>Buscamos una persona orientada a IT o carreras afines , con ganas de aprender y de involucrarse en el día a día de las operaciones de tecnología en planta. El rol tiene foco en soporte de infraestructura, networking y en la adopción de nuevas tecnologías, incluyendo inteligencia artificial, dentro del entorno corporativo.
Brindar soporte de primer y segundo nivel sobre la infraestructura de IT ( redes, estaciones de trabajo, impresoras, etc.).
Monitorear y colaborar en el mantenimiento de la plataforma de networking (LAN/WAN, Wi‑Fi, VPN, etc.).
Participar en la resolución de incidentes y requerimientos, siguiendo procesos y buenas prácticas de IT Operations.
Colaborar en la implementación y mejora de soluciones de inteligencia artificial aplicadas a procesos internos.
Dar soporte y acompañamiento a usuarios en herramientas corporativas, incluyendo Google Workspace (Gmail, Drive, Meet, Calendar, etc.).
Documentar procedimientos, configuraciones y lecciones aprendidas para asegurar la continuidad operativa.
Estudiante avanzado/a de carreras de Sistemas, Informática o afines, preferentemente con un mínimo del 60% de la carrera aprobada .
Conocimientos en:
Fundamentos de infraestructura y sistemas operativos.
Redes (TCP/IP, VLANs, routing, switching, conceptos de seguridad).
Modelos de soporte y operación (incidentes, requerimientos, cambios, etc.).
Inglés intermedio–avanzado con capacidad para mantener conversaciones técnicas y participar en reuniones.
Experiencia previa (prácticas, pasantías o empleos) en áreas de IT Operations, soporte o infraestructura.
Conocimientos o experiencia con Google Workspace a nivel administración o soporte.
Interés y/o experiencia en proyectos de inteligencia artificial aplicada a operaciones, automatización o analítica.
Orientación al servicio y a la resolución de problemas.
Buenas habilidades de comunicación y trabajo en equipo.
Proactividad, curiosidad tecnológica y ganas de aprender nuevas herramientas.
Organización y capacidad para gestionar múltiples tareas en paralelo.
About Us
The AI Cloud and Developer Infrastructure organization is responsible for delivering and maintaining the tools and services engineers here at GM use every day to do their best work and drive our cars forward. Tools and services we work on enhancing the entire development process of engineers at GM — how/where code is checked out, modified, compiled, tested, merged, and eventually deployed. Our goal is to ensure our AV engineers and others here have world class tools and a seamless development experience so that they can focus on the problems that matter most in their domain.
The Role
We are looking for a Senior Engineer with an extensive engineering background, experience using a variety of developer tools and technologies, and who is passionate about developer productivity. As an IC leader on this team, we are looking for someone who cares deeply about the technical development of other engineers on the team and can effectively balance the needs and priorities of the business, our users, and the growth of our engineers.
The Team
As a part of the AV Developer Productivity Org, the AV Agentic Developer Engineer is responsible for creating and maintaining a robust, reliable, and cohesive inner loop development experience for AV developers at GM to optimize the rate at which quality code is produced at Cruise. We achieve through a combination of internally developed tools, vendor tools, and vendor tool integrations.
The way this engineer will deliver impact may vary depending on the situation, but they will be expected to be able to identify how they can best have impact with minimal guidance.
What You’ll Do
Identify engineering pain points and propose/design/implement solutions that are reliable, scalable, and maintainable
Synthesize large amounts of company, org, customer information and context to establish priorities and influence the team’s technical roadmap
Evaluate new tools and technologies through PoCs
Ship improvements to our AV development toolchains and services which have a measurable and direct impact on engineering productivity and our core company metrics
Drive software engineering best practices within your team, and create tooling which encourages these
Help steer the engineering culture on the team
Guide the team to find the right balance between delivering impact and addressing technical debt
Mentor and grow engineers on the team
Set the example for high levels of accountability
Execute and deliver impact both individually and through the team
Set strong boundaries when selecting external requests and pushing back on requests that do not align with our team vision
Your Skills & Abilities (Required Qualifications)
3+ years of experience designing, building, and operating production systems at scale in the cloud
Bachelors Degree in Computer Science or related field or equivalent work experience
Understanding of AI Engineering principles and concepts
Experience designing highly scalable, reliable, and maintainable services
Experience writing in effective Go or other equivalent languages at production scale
Understanding of Unix/Linux, SSH, and networking fundamentals
Attention to detail, and a desire to improve processes and systems around you
Ability to lead and influence others, both internal and external to the team
Principled reasoning and the ability to research, document, communicate, and defend proposals, and provide and take critical feedback
Ability to effectively make trade-offs and communicate the reasoning
Ability to manage competing priorities, focus on shipping, and work effectively under pressure
Passion for mentoring and growing junior engineers
Passion for leveling up the overall efficiency and effectiveness of the team
Passion for self-driving technology and its potential impact on the world
What Will Give You a Competitive Edge (Preferred Qualifications)
Experience designing, building, and operating production systems at scale in the cloud
Experience working with GCP
Experience working with gPRC, Docker, and Kubernetes
Experience owning or contributing to Open-Source projects
Compensation: The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of New York, Colorado, California, or Washington.
The salary range for this role is $178,420 to $230,500. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.
Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.
Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.
Benefits:
Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.
Relocation: This job may be eligible for relocation benefits.
#GM-AV-1
Role Overview
As a Software Engineer in Simulation, you will be responsible for ensuring the quality and reliability of autonomous vehicle simulation platforms. The role bridges hands-on coding, protocol/process definition, integration of metrics, and automated regression monitoring — all foundational to verifying the performance, fidelity, and validity of highly complex simulation systems. This position will follow both collaborative and technical standards with an emphasis on scalable, maintainable, and programmatic approaches.
About the organization
The GM Advanced Driver-Assistance Systems (ADAS) team develops and delivers intelligent, safety, and convenience features to elevate every driver’s experience. By integrating state-of-the-art sensing, perception, and control technologies, GM ADAS empowers vehicles with cutting-edge capabilities. Our cross-functional experts collaborate to design scalable, reliable systems that set new standards for automotive innovation and make mobility easier, safer and more convenient for all.
The Sim Validation team at GM ensures our simulation environments accurately mirror real-world driving conditions and sensor interactions. On the one hand, by measuring and monitoring the realism, accuracy, and coverage of our virtual environments and sensor models, Sim Validation enables developers and engineers to validate autonomous and ADAS technologies with greater realism and confidence. On the other hand, our validation methodologies establish a basis of trust in our simulation results and capabilities when reporting to executives and regulatory bodies. Our solutions reduce reliance on physical testing, streamline development, and provide essential insights that guide safer, more robust vehicle systems.
What you and your team will be doing
Build and maintain simulation fidelity and validity metrics, quantifying the gap between simulation and road in novel ways. Construct mechanisms to attribute issues to components of simulation systems.
Design and maintain robust data ingestion and loading tools to support diverse simulation pipelines
Develop and optimize nodes in both C++ and Python to extract and aggregate metric outputs at scale.
Create, maintain, and monitor test suites, enabling automated regression detection. Debug, track, and report on validity measures, including deep root-cause analysis. Triage and aid in the prioritization of resolving validation issues.
Contribute documentation in the form of technical designs, experiment results and internal publications.
Conduct code reviews and assist teammates in tracking evolving requirements and user workflows.
Interface with cross-org partners to articulate requirements, resolve handoff issues, and share best practices.
Required Skills & Qualifications
3+ years of experience writing Python in a production environment (unit testing, code review, algorithm performance and tradeoffs, etc.). Demonstrated experience with C++.
Familiarity with data analysis, e.g. statistics
Familiarity with SQL, ROS, numpy & scipy, and plotting/visualization libraries
Excellent communication skills and ability to work independently, driving technical advances.
BS in Computer Science, Electrical Engineering, Mechanical Engineering, Robotics, Aerospace Engineering or similar experience.
Bonus points
Experience building algorithms central to data analysis of engineering domains
Experience developing software solutions that are used across engineering teams
Experience with computational geometry, linear algebra, or Machine Learning
Experience with time-series data analysis and online performance monitoring tools
Experience in simulation/test engineering or automotive autonomy platforms
Experience automating pipelines, maintaining and troubleshooting test protocols.
Familiarity with some of Google Cloud, BigQuery, containerized builds, large-scale continuous integration/monitoring or Python/C++ interoperability
Compensation:
Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.
What You'll Do
Work closely with company leaders, Program Management Office and hardware/software TPMs to create and own program milestones, cross-team integration schedule and execution plans.
Coordinate hardware design, development and validation efforts in a fast-paced, multi-
Develop hardware validation plans that align with internal customer needs and major company milestones.
Proactively resolve issues and drive course corrections as needed - be directly involved
Help manage and drive complex, fast-evolving hardware systems and components both
Coordinate and manage the engagement with a Contract Manufacturer for PCBA/Mechanical design releases, hardware builds and validation
Capture and track inter-team dependencies and handoffs; monitor and help resolve
issues.
Ensuring that all business deliverables are identified and accounted for in the project plan with responsibility and due dates
Facilitates decision making among GM stakeholders to develop project scope of work documents and project plans based upon requirements, changes, variances and contingencies that arise during the implementation. Facilitates amicable solutions with the appropriate customer(s) and project sponsor/owner.
Define program deliverables, metrics and KPIs. Set up mechanisms to track/report.
Communicate progress effectively across program teams, including third parties and lead meetings to present hardware engineering work to GM leadership.
Conduct periodic retrospectives; continuously assess and improve processes and tools.
Your Skills & Abilities (Required Qualifications)
BS in engineering, science, or a related field
Minimum of 5 years of Technical Program Management experience
Minimum of 2 years of experience managing contract manufacturers in the development of new hardware products, including responsibilities such as PCBA design release, BOM management, SMT processes, and manufacturing test implementation
Ability to understand complex hardware/software systems and product development process
Familiarity with hardware design and development processes including board-level design, mechanical engineering, and hardware validation
Strong technical and non-technical communication skills
Be detail-oriented and able to confidently bring order and organization to any team
Ability to handle ambiguities and work in a fast-paced, dynamic environment
This position requires the ability to legally operate a motor vehicle on a regular basis.
Hybrid: This role is categorized as hybrid. This means the successful candidate is expected to report to the office three times per week, at minimum. This position will be located in Sunnyvale, CA or Warren, MI.
Compensation: The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of the California Bay Area.
The salary range for this role is $134,700 to $245,000. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.
Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance
Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.
Company Vehicle: Upon successful completion of a motor vehicle report review, you will be eligible to participate in a company vehicle evaluation program, through which you will be assigned a General Motors vehicle to drive and evaluate. Note: program participants are required to purchase/lease a qualifying GM vehicle every four years unless one of a limited number of exceptions applies.
#LI-RF1
]]>The Role -
The Senior Interior Designer is responsible for defining and driving the creative direction of vehicle interiors for GM brands serving China and global markets. This role leads interior theme development from early advanced concepts through production execution, ensuring that designs deliver compelling customer experiences , express brand DNA , and meet feasibility, quality, and cost targets.
You will collaborate closely with UX/HMI, CMF, Studio Engineering, VSE, Product Planning, and Customer Research .
What You’ll Do -
Lead interior design themes for assigned programs (advanced and production) from early sketch to final CAS/digital model and design freeze.
Translate brand strategy, China customer insights, and technology roadmaps into clear, differentiated interior concepts.
Generate and review high-quality sketches, storyboards, digital renderings, and VR/3D presentations that communicate spatial concepts, UX flows, and CMF direction.
Partner with UX/HMI and CMF teams to create holistic interior experiences that integrate displays, lighting, controls, materials, and sound.
Work closely with Studio Engineering and Packaging to ensure concepts are technically feasible, manufacturable, and aligned with safety, ergonomic, and regulatory requirements.
Drive interior design deliverables and gateways in line with the Design GVDP process , ensuring timing, quality, and alignment with global and regional leadership expectations.
Prepare and present design proposals in studio reviews, Design Leadership Team (DLT) reviews, GDRs, and executive design forums , incorporating feedback into refined solutions.
Support customer clinics, research activities, and VR evaluations , defining stimuli and synthesizing learnings back into design directions.
Provide creative leadership, mentoring, and day-to-day guidance for junior and senior interior designers within the team.
Partner with Global Design studios to align China proposals with global brand language while championing China-specific needs and innovation .
Ensure all design work adheres to GM standards for craftsmanship, surface quality, proportion, and user-centered design .
Contribute to advanced and exploratory interior projects , including new interaction models, future cockpit concepts, and AI- or data-enabled experiences.
Maintain a strong awareness of competitive benchmarks, design trends, and emerging technologies relevant to automotive interiors and in-cabin experience.
Your Skills & Abilities (Required Qualifications)
Education (minimum): BA or MA degree in Transportation, Automotive, or Industrial design, or equivalent experience
3+ years of professional work experience in automotive design, preferably with international experience at prominent European OEM studios or design houses
Comprehensive Interior design ability that begins with creating innovative and relevant design concepts, fresh new design themes, cohesive and attractive design proposals, and continues all the way to the completion of a 3D vision (i.e. 3D digital and full-size clay models)
Superb professional sketching and rendering skills, 2D visual communication is very important
Capable of conceptual thinking and cross functional collaborative work
Desire, ability and dedication of total involvement in a holistic design process
Good understanding of user needs in different scenarios; able to improve the user experience via design
By working with a cross functional team of die casting engineers, you will execute casting manufacturing projects by following a systematic engineering process of evaluation, development, validation, and technology transfer leading into and supporting the launch of new die casting products. You will be responsible for working with product engineers and die OEMs on the process and tooling design, reviewing and interpreting simulation results, and process setup and startup on the plant floor.
Key job functions:
Preferred Experience:
Education:
At General Motors, our product teams are redefining mobility. Through a human-centered design process, we create vehicles and experiences that are designed not just to be seen, but to be felt. We’re turning today’s impossible into tomorrow’s standard — from breakthrough hardware and battery systems to intuitive design, intelligent software, and next-generation safety and entertainment features.
Every day, our products move millions of people as we aim to make driving safer, smarter, and more connected, shaping the future of transportation on a global scale.
The Role
General Motors is at the forefront of the transformation of automotive with the electrification of our portfolio and the development of leading-edge central compute, connectivity, and autonomous capabilities.
Our Semiconductor Engineering team is a dynamic, high‑energy, and innovative group focused on design and commercialization of leading‑edge silicon enabling the future of GM’s Software Defined Vehicle (SDV) platforms – centra
We are seeking a highly skilled and driven Senior Hardware Engineer – MCU Performance Analysis to join our Semiconductor Center of Excellence. In this pivotal role, you will lead the definition, development, and execution of MCU performance analysis strategies for state‑of‑the‑art microcontroller solutions used in next‑generation automotive electronics platforms.
You will be responsible for MCU‑centric performance modeling, analysis, and correlation, including workload and benchmark definition, silicon performance simulations, measurement and debug to ensure our MCU platforms meet functional, performance, efficiency, and real‑time requirements from concept through production.
What You’ll Do:
Define MCU performance analysis strategies, including KPIs, workloads, benchmarks, coverage goals, and pass/fail criteria
Develop performance and design specifications to support sourcing, architecture trade-offs, and ECU/system decisions
Identify and resolve performance bottlenecks across cores, memory, interconnects, peripherals, and software stacks
Build and maintain MCU performance models to support architectural exploration, sizing studies, and what-if analyses
Select or develop representative workloads and benchmarks for automotive use cases such as real-time control, diagnostics, safety monitoring, communications, and signal processing
Create and maintain automation, tools, and scripts for analysis, data collection, and reporting using Python, C/C++, or similar languages
Partner with hardware, ECU, and software teams to translate system requirements into measurable performance targets and test cases
Present performance insights, trade-offs, and recommendations to technical and non-technical stakeholders
Required Qualifications:
Bachelor’s degree in Electrical Engineering, Computer Engineering, Software Engineering, Computer Science, or a related field.
7+ years of experience in MCU or embedded processor performance analysis, modeling, or embedded systems development.
Strong understanding of MCU/CPU architecture, including pipelines, caches, memory subsystems, buses/interconnects, peripherals, interrupts, and real-time constraints.
Demonstrated experience defining and executing structured performance analysis plans, including definition of objectives, workloads, metrics, and traceability to system requirements.
Hands‑on experience analyzing and optimizing embedded/MCU‑based systems, including profiling, hotspot analysis, and trade‑offs across performance, power, and memory.
Experience developing automation, tools, or scripts for performance analysis and data processing (for example, Python, C/C++, or similar scripting environments).
Experience in workload and benchmark selection, analysis, and development.
Proven ability to conduct feasibility studies evaluating performance metrics, design trade-offs and presenting solutions that optimize system performance, power and timing.
What Can Give You a Competitive Edge (Preferred Qualifications):
Master’s degree in Electrical Engineering, Computer Engineering, Software Engineering, Computer Science, or a related field.
Experience with automotive or other safety‑critical MCUs and ECUs, including real‑time and functional safety consideration.
Programming experience in languages such as C, C++, or Python.
Benefits:
GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.
#LI-JK3
]]>General Motors is at the forefront of the transformation of automotive with the electrification of our portfolio and the development of leading-edge central compute, connectivity, and autonomous capabilities.
Our Semiconductor Engineering team is a dynamic, high‑energy, and innovative group focused on design and commercialization of leading‑edge silicon enabling the future of GM’s Software Defined Vehicle (SDV) platforms – central compute units, connectivity modules, and other controllers.
We are seeking a skilled and driven Hardware Test Engineer – MCU to join our Semiconductor Center of Excellence. This role will contribute to the definition, development, and execution of hardware test strategies for state‑of‑the‑art Microcontroller (MCU) solutions used in next‑generation automotive electronics platforms. You will be responsible for MCU and MCU‑centric ECU board bring‑up, test plan creation, automated test development, and systematic debug to ensure our silicon and hardware platforms meet functional, performance, and reliability goals from early samples through production.
#LI-JK3
]]>This role is not eligible for relocation assistance.
At General Motors, our product teams are redefining mobility. Through a human-centered design process, we create vehicles and experiences that are designed not just to be seen, but to be felt. We’re turning today’s impossible into tomorrow’s standard —from breakthrough hardware and battery systems to intuitive design, intelligent software, and next-generation safety and entertainment features.
Every day, our products move millions of people as we aim to make driving safer, smarter, and more connected, shaping the future of transportation on a global scale..
About the Role:
The Dimensional Systems Engineer integrates product design and manufacturing processes to achieve world-class vehicle dimensional performance. The role partners with Design Responsible Engineers, program teams, Product Design, Manufacturing Engineering, Supplier Quality, Plant Quality Engineers, and suppliers to establish dimensional strategies for complex components and assemblies from advanced development through production while providing technical leadership in GD&T, tolerance allocation, variation analysis, metrology, supplier process capability, vehicle builds, and dimensional issue resolution.
Lead dimensional integration and reviews across vehicle subsystems from concept through launch.
Define dimensional requirements for purchased components and assemblies and document them in the program Statement of Requirements (SOR).
Develop, execute, and approve virtual variation analyses using 3DCS, visVSA, RSS, or comparable tools.
Verify measurement-system capability, including calibration, Gage R&R, datum simulation, measurement uncertainty, and correlation to released GD&T.
Evaluate complex supplier parts and assemblies, including castings, forgings, stampings, machined components, welded structures, and multi-piece modules.
Assess how supplier processes—including tooling, fixturing, forming, machining, joining, heat treatment, coating, assembly, and rework—affect dimensional capability.
Support supplier technical reviews, matching events, vehicle builds, launch activities, and structured issue resolution.
Correlate supplier measurement data, virtual analyses, inspection results, and build findings to identify systemic variation.
Lead dimensional issue resolution during prototype, validation, pre-production, launch, and production using structured problem-solving methods.
Serve as a GD&T and dimensional systems subject-matter expert and mentor cross-functional teams.
Develop and deploy global dimensional methods, standards, training, and lessons learned.
Maintain dimensional strategies and best practices, risk assessments, influence-math data packages, design-development inputs, GD&T releases, manufacturing build processes, and lessons learned.
Improve dimensional capability, build variation, fit, function, and launch quality.
Bachelor’s degree in Engineering.
7 plus years of experience in dimensional engineering, product design/release, manufacturing engineering, supplier engineering, or dimensional quality.
Proficiency in GD&T, tolerance allocation, datum structures, and dimensional variation management, including application of ASME Y14.5.
Experience with chassis components, complex assemblies, automotive launches, and supplier manufacturing processes.
Practical experience with metrology, measurement planning, CMM and scanning systems, checking fixtures, gages, measurement-system validation, and assembly plant environments.
DFSS Green Belt certification or equivalent demonstrated application of DFSS methods.
Understanding of Red X process fundamentals.
Experience with Unigraphics (UG)/NX PMI, visVSA, and Teamcenter Visualization Mock-Up.
Demonstrated project leadership, technical decision-making, and ability to influence cross-functional and supplier organizations.
Strong communication skills, with the ability to explain complex technical information to engineering, manufacturing, quality, program, plant, and supplier audiences.
Flexibility and adaptability to succeed in a fast-paced environment.
GM DOES NOT PROVIDE IMMIGRATION-RELATED SPONSORSHIP FOR THIS ROLE. DO NOT APPLY FOR THIS ROLE IF YOU WILL NEED GM IMMIGRATION SPONSORSHIP NOW OR IN THE FUTURE. THIS INCLUDES DIRECT COMPANY SPONSORSHIP, ENTRY OF GM AS THE IMMIGRATION EMPLOYER OF RECORD ON A GOVERNMENT FORM, AND ANY WORK AUTHORIZATION REQUIRING A WRITTEN SUBMISSION OR OTHER IMMIGRATION SUPPORT FROM THE COMPANY (e.g., H-1B, OPT, STEM OPT, CPT, TN, J-1, etc.)
#LI-JN1
]]>Responsibilities
Responsible for the effective use of personnel, material, and equipment, with knowledge of semi-permanent mold and precision sand tooling and cold box system for core processes foundry.
Participates in the training, developing and evaluating of hourly team members.
Participates in the development of highly effective teams. Leads Global Manufacturing Systems (GMS) processes and serves as resource supporting launch and pilot activities in assigned areas.
Meets or exceeds production cost schedule and maintains quality requirements.
Maintains awareness of quality standards, and communicates department quality goals, and leverages resources to solve quality issues.
Builds and maintains good working relationships with employees, union and management.
Understands and consistently administer the National and Local Agreements between General Motors and the United Auto Workers Union.
Implements and follows systems that prevent reoccurrence of known issues.
Promote safe work practices and achieve objectives for ergonomics, health and safety and housekeeping.
Motivates, trains and develops employees to effectively perform their jobs utilizing standardized methods.
Ensure team members receive adequate JIT (job instruction training).
Achieve production schedules and product requirements by applying lean manufacturing/synchronous principles with emphasis on variation reduction, control costs, and achieve productivity improvements.
Coach, teach, counsel and mentor Group Leaders in these responsibilities.
Requirements
Bachelor’s degree in Industrial, Mechanical, Electrical Engineering, or a related field; or relevant experience.
Ability to interpret pneumatic and hydraulic drawings.
Minimum of 1 year of relevant technical experience.
Strong analytical skills to diagnose and resolve problems.
Intermediate English comprehension.
Experience in preventive, predictive, and corrective maintenance.
Proven experience leading and developing maintenance teams.
Knowledge of GMS, global manufacturing systems, or Lean Manufacturing methodologies.
Availability to work rotating shifts (4x3 schedule) and availability to work on weekends.
Preferred Qualifications
Proficiency with NX and Unigraphics.
Experience coordinating tooling‑related and engineering activities (semi‑permanent molds preferred).
In case you need any reasonable adjustment to continue with your process, let your recruiter know.
Remember to attach your CV when applying to this vacancy.
General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We respect and value what each individual contribution to our team, including their origin, education, sex, race, ethnic group, sexual orientation, gender expression and / or identity, religious context, age, generation, and disability. We believe that our ability to meet the needs and expectations of an increasingly diverse and global customer base is closely linked to the diversity and inclusion that we experience within General Motors.
]]>At General Motors, our product teams are redefining mobility. Through a human-centered design process, we create vehicles and experiences that are designed not just to be seen, but to be felt. We’re turning today’s impossible into tomorrow’s standard —from breakthrough hardware and battery systems to intuitive design, intelligent software, and next-generation safety and entertainment features.
Every day, our products move millions of people as we aim to make driving safer, smarter, and more connected, shaping the future of transportation on a global scale.
The Simulation Data Engineer will create and implement the strategic vision for simulation data workflows, automation, and data infrastructure for the vehicle dynamics simulation team. This role will improve how simulation data is generated, managed, analyzed, and used in engineering decisions through scalable workflows, automation, and analytics.
Create and improve workflows for simulation data generation, storage, traceability, analysis, and reuse
Build automation pipelines for simulation execution, post-processing, reporting, and data quality checks
Use GitHub, GitHub Actions, Databricks, and SQL-based tools to manage datasets and automate workflows
Partner with simulation engineers and cross-functional teams to connect models, data, and analysis into efficient end-to-end workflows
Standardize data structures, metadata, documentation, and best practices to improve speed, consistency, and reliability
Drive cultural change toward data-driven, automated simulation workflows through example implementations, training, and ongoing guidance
Bachelor’s degree in Computer Science, Data Engineering, Software Engineering, Applied Mathematics, Statistics, Mechanical Engineering, Aerospace Engineering, or a related technical field
5+ years experience supporting CAE, simulation, or other engineering data workflows
Experience in workflow automation, data processing, or tool development for engineering, simulation, analytics, or technical software teams
Experience with GitHub, GitHub Actions or similar CI/CD tooling, and scripting for workflow automation and data analysis
Experience with Databricks, SQL, and structured data management
Strong problem-solving, analytical, communication, and cross-functional collaboration skills
Demonstrated ability to create, communicate, and build support for a strategic vision around simulation data workflows, automation, and engineering analytics
7+ years experience supporting CAE, simulation, or other engineering data workflows
Experience with simulation input/output data, post-processing tools, and engineering analysis pipelines
Experience with Python, statistical analysis, and data quality or validation workflows
Experience in automotive, vehicle dynamics, multibody simulation, or broader physical simulation environments
Every day, our products move millions of people as we aim to make driving safer, smarter, and more connected, shaping the future of transportation on a global scale.
The Role
The Vehicle Dynamics Simulation Integration Engineer is responsible for supporting the move to virtual engineering by leading the integration of full-vehicle cross-functional co-simulation packages focused on vehicle dynamics and related disciplines. This position is highly technical and collaborative, involving partner teams throughout Virtual Design Development and Validation (VDDV), Vehicle Performance, Validation, Global Vehicle Hardware Engineering and Vehicle Software and Electronics Engineering. The role deals with multiple emerging technologies, and constant pursuit of innovation is key to its success.
What You'll Do
Your Skills & Abilities (Required Qualifications)
What Will Give You A Competitive Edge (Preferred Qualifications)
What you’ll do
Additional leadership responsibilities
Requirements
If you’re energized by building what’s next in manufacturing and turning cutting-edge research into real-world impact at global scale, this role will put you at the heart of innovation at GM R&D.
]]>About
The HIL Platform and Services team in the GM Autonomous Vehicle (AV) Organization is responsible to develop and scale high-fidelity and reliable Hardware-in-Loop validation platforms to test AV software prior to deployment, to ensure enterprise usability, end-user functionality, and provide high quality, use case driven signals, such as AV Performance Validation and AV System Reliability.
Role
As a Software Engineer on the HIL Platform and Services Team, you get to be at the intersection of AV software and AI models, and the hardware systems that are responsible for vehicle autonomy! You will have an opportunity to work on what it takes to run, deploy, and test on the next generation of GM AVs.
This is a highly collaborative team with close collaboration with various teams within the core AV organization including Embodied AI, Model Deployment, Middleware, OS, Sensor Applications, and Vehicle Integration. This role blends expertise in Software development, software optimization, managing and deploying HIL Services as a PaaS, and hardware-aware engineering.
What you’ll be doing (Responsibilities)
Develop software to increase the capabilities, fidelity, observability and scale of our HIL Platform and Integration services
Deliver reliable software through requirements generation, continuous integration, automated testing, issue tracking, and code reviews
Collaborate with colleagues across multiple teams
Deliver complex projects through incremental development
Your Skills & Abilities (Required Qualifications)
2+ years of experience writing production-quality software
Strong system fundamentals and coding abilities (Python, C++)
Understanding of how to design high-performant software components
Excellent interpersonal skills
Experience developing in a Linux environment
BS, MS or PhD in CS, or related technical field
What Will Give You A Competitive Edge (Preferred Qualifications)
Experience with optimizing and/or evaluating complex software systems on dedicated hardware
Experience with ROS architectures
Experience with low latency or real time systems
Experience in the AV industry
Experience with SQL
Large build system such as bazel working experience
Compensation: The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of New York, Colorado, California, or Washington
#GM-AV-1
Every day, our products move millions of people as we aim to make driving safer, smarter, and more connected, shaping the future of transportation on a global scale.
The Role
As a Senior Conveyor Engineer, you will lead the installation and operational activities of manufacturing conveyor equipment in GM facilities, ensuring compliance with industry and GM standards. You’ll play a key role in layout development to support manufacturing processes, integrate lean concepts for cost-effective designs, and collaborate on material presentation for operator assembly.
This role involves managing multiple plants and large-scale projects, understanding the integrated supplier model, and overseeing project timing and financials. You’ll work cross-functionally with internal teams and external partners, exercising creativity, initiative, and independent judgment in a dynamic environment.
Travel as required: Frequency of the travel depends on the project requirements (up to 50%). All conveyor engineers in the department may be required to support execution projects which can have monthly travel requirements.
What You'll Do
· Execute complex conveyor projects, including engineering, fabrication, installation, and start-up in GM assembly plants across North America.
· Lead multiple conveyor projects and equipment installations, ensuring compliance with GM standards and safety requirements.
· Develop project timelines and manage financial aspects of conveyor execution.
· Collaborate with engineers and suppliers to support project execution and resolve operational issues.
· Drive lean conveyor designs to minimize total costs while supporting material presentation for assembly.
· Utilize GM documentation and ensure adherence to conveyor specifications and standards.
· Generate technical solutions for conveyor challenges and track deliverables to ensure timely completion.
Your Skills & Abilities (Required Qualifications)
· 5+ years of experience in manufacturing engineering.
· Bachelor’s degree in engineering, science, project management, or related field (or equivalent experience).
· Proficient in reading, understanding, and developing conveyor layouts.
· Strong analytical skills with excellent communication and interpersonal abilities for effective problem-solving.
· Proficient in computer applications, interpreting engineering drawings, and adapting to new systems.
What Will Give You a Competitive Edge (Preferred Qualifications)
· Experience as a conveyor engineer or in maintenance roles.
· Strong technical knowledge in process engineering disciplines, including plant layouts, process requirements, throughput, and simulation—especially in Body, Paint, and General Assembly.
· Proven experience in project management.
· Proficiency in AutoCAD and FactoryCAD for creating and modifying designs.
· Familiarity with NX software or general awareness of its applications.
]]>Executes deliverables in support of the supply chain organization's business objectives. Guides of one of the key areas within the Global Supply Chain to ensure business objectives are met or exceeded in all areas including customer, quality, service, responsiveness, people, product and financial initiatives.
Position communicates to all levels of the organization, within the function as well as other functions and suppliers Position is responsible for supporting relationship management with logistic suppliers and service providers
Ability to understand and assess complex supply chain issues and lead teams in a cross functional environment to successfully resolve issues minimizing impacts to vehicle production
Assess supplier schedules and impact on vehicle assembly production.
Collaborate cross functionally to develop creative solutions.
Ability to summarize critical issues with resolutions and communicate to leadership
Handle very complex capacity constraint issues to resolution with goal to eliminate potential plant disruptions and reduce premium transportation.
Analyze metrics supporting supplier critical issues or sufficiency plan resolution.
Ability to be flexible and at times work extended and non-core hours to ensure issues are worked to resolution.
Ability to travel to plant locations when required for onsite support of launch and build-out.
Ability to problem tackle complete issues and implement new and innovative strategies.
Deep understanding of Supply Chain functions
Add IA implementations and support
Bachelor’s degree in Industrial Engineering, Logistics, Systems Engineering, Automation, or a related field or relevant experience.
Minimum of one year of experience in material handling.
Experience with Pull Systems.
Proven experience conducting Root Cause Analysis.
Intermediate English proficiency.
Experience in logistics or material flow is preferred.
Availability to work rotating shifts under a 4x3 schedule.
Core Competencies
Leadership and initiative.
Teamwork and collaboration.
Forward-thinking mindset.
Problem-solving skills.
Knowledge of FIFO and waste elimination.
Ability to coordinate activities with external suppliers.
In case you need any reasonable adjustment to continue with your process, let your recruiter know.
Remember to attach your CV when applying to this vacancy.
General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We respect and value what each individual contribution to our team, including their origin, education, sex, race, ethnic group, sexual orientation, gender expression and / or identity, religious context, age, generation, and disability. We believe that our ability to meet the needs and expectations of an increasingly diverse and global customer base is closely linked to the diversity and inclusion that we experience within General Motors.
]]>Onsite: This role is categorized as onsite. This means the successful candidate is expected to report to our Pontiac Stamping plant location
Sponsorship: GM DOES NOT PROVIDE IMMIGRATION-RELATED SPONSORSHIP FOR THIS ROLE. DO NOT APPLY FOR THIS ROLE IF YOU WILL NEED GM IMMIGRATION SPONSORSHIP (e.g., H-1B, TN, STEM OPT, etc.) NOW OR IN THE FUTURE.
The Role
Pontiac Flex Fab is the first of its kind flexible manufacturing plant focused on supporting innovative sheet metal forming and assembly processes. Primary applications are focused on quick turnaround, no tooling, low volume and high mix across multiple vehicles programs and other non-automotive applications. Flex Fab is situated in the greater metro-Detroit area close to culture and outdoor recreation - as well as great neighborhoods and schools.
What You’ll Do
Responsible to lead & mentor hourly team on daily basis towards daily production operation. Work is of a technical nature using independent judgment within the limits of GMS; focusing on Safety, People, Quality, Responsiveness, Cost, and Environment (SPQRCE).
What You'll Do (Responsibilities):
Your Skills and Abilities (Required Qualifications):
What Can Give You a Competitive Edge (Preferred Qualifications):
Onsite: This role is categorized as onsite. This means the successful candidate is expected to report to our Pontiac Stamping plant location
Sponsorship: GM DOES NOT PROVIDE IMMIGRATION-RELATED SPONSORSHIP FOR THIS ROLE. DO NOT APPLY FOR THIS ROLE IF YOU WILL NEED GM IMMIGRATION SPONSORSHIP (e.g., H-1B, TN, STEM OPT, etc.) NOW OR IN THE FUTURE.
The Role
Pontiac Flex Fab is a first of its kind flexible manufacturing plant focused on supporting innovative sheet metal forming and assembly processes. Primary applications are focused on quick turnaround, no tooling, low volume and high mix across multiple vehicles programs and other non-automotive applications. Flex Fab is situated in the greater metro-Detroit area close to culture and outdoor recreation - as well as great neighborhoods and schools.
Responsible to manage & mentor salaried group leaders in the implementation and execution of the established business process for an area in the production operations and foster an atmosphere of teamwork and cooperation. Work is of a technical nature using independent judgment within the limits of GMS; focusing on Safety, People, Quality, Responsiveness, Cost, and Environment (SPQRCE).
What You'll Do (Responsibilities):
Your Skills and Abilities (Required Qualifications):
What Can Give You a Competitive Edge (Preferred Qualifications):
Hybrid: This role is categorized as hybrid. This means the successful candidate is expected to report to Austin TX IT Innovation Center or Warren Michigan 3 days per week (T-W-Th)
The Role
We are looking for a skilled Staff Embedded Software Engineer with a deep understanding of distributed systems and fleet-scale device management to develop, optimize, and maintain our embedded control and data plane infrastructure. The ideal candidate will have a strong background in software development (C/C++), a passion for open-source technologies, and experience designing and operating data-intensive pipelines together with the configuration systems that manage them across a distributed device fleet
What You'll Do (Responsibilities)
Your Skills & Abilities (Required Qualifications)
What Can Give You a Competitive Advantage (Preferred Qualifications)
#LI-CK1
Gm does not provide immigration-related sponsorship for this role. Do not apply for this role if you will need gm immigration sponsorship (e.g., h-1b, tn, stem opt, etc.) Now or in the future.
]]>Work Arrangement: This role is categorized as onsite. This means the successful candidate is expected to report to Saginaw on a full-time basis.
Relocation benefits may be available for this role.
The Role:
As a Launch Lead, you will have Supervisory responsibility for small/medium cross functional group of employees responsible for the implementation and execution of the Launch Deliverables and retool of equipment. This position will require fostering teamwork and communication between different functions and shifts. The work is of a technical nature using independent judgement within the limits of GMS; focusing on Safety, People, Quality, Responsiveness, Cost, and Environment (SPQRCE). There is a need to be able to deal with complex problems and lead continuous improvement projects, while scheduling to meet important deadlines and build dates.
What you will do:
Promote safe work practices and achieve objectives for Ergonomics and Health & Safety
Work closely with the Execution Team to develop the plan for all upgrades and builds
Work closely with cross functional teams to implement GMS
Lead cross functional Launch Team to achieve Launch Deliverables
Implement Operational Readiness and create plan for 100% completion by Start Of Regular Production
Communicate between different shifts/departments/functions
Drive Continuous Improvement initiatives to establish run at rate deliverables
Validate Manufacturing and Quality processes during Launch
Builds and maintains good working relationships with employees, union, and management
Coach, teach, counsel and mentor Group Leaders in these responsibilities
Participate in the selection of new employees and trains, develops and evaluates salaried and hourly employees, and the development of highly effective teams
Occasional Travel may be required to support launch activities (less than 10%)
Your Skills & Abilities (Required Qualifications):
Knowledge of quality control procedures, manufacturing processes and management systems as they relate to production operations
5 years +of leadership experience with Manufacturing Operations / Planning
Working knowledge of Workplace Safety System (WSS)
Experience/knowledge of GM Global Manufacturing System (GMS)
Knowledge of continuous improvement processes (CIP)
Willing to work OT and off shifts as needed
High level of analytical ability where problems are unusual and difficult
High level of oral and written communication skills
Experience working in a cross functional team environment
What Can Give You a Competitive Edge (Preferred Qualifications)
Shift leader experience
Launch experience
Bachelor’s degree
High level of analytical ability where problems are unusual and difficult
High level of interpersonal skills to work effectively with others
High level of oral and written communication skills
Role: As an AI/ML Engineer on the Metrics Frameworks team, part of the Simulation, Evaluation, and Data organization, you will be an individual contributor focused on developing and optimizing infrastructure to accelerate autonomous vehicle development, testing, and deployment by creating specialized analytics frameworks and tools. We are seeking experienced software engineers to build analytical frameworks and tools that empower internal users to construct quantitative analysis pipelines and develop metrics. These metrics will support and accelerate feature design, prioritization, and development, as well as evaluate the impact of recently released features. Our analytics framework equally supports road event monitoring, data mining and training, and simulation metrics.
About the Organization: The Simulation, Evaluation, and Data organization is dedicated to advancing the development of autonomous vehicles through cutting-edge simulation technologies. The Metrics Frameworks team within this organization focuses on creating, maintaining, and evolving the analytics framework that supports GM's goal of safe, high-performing, and scalable driverless technology. The team delivers robust and scalable tools that facilitate data-driven decision-making throughout the AV feature development lifecycle. We collaborate closely with Simulation Evaluation, Embodied AI, and System and Test Engineering teams to enhance productivity across the organization by developing automation tools and shared libraries for all engineering teams. We are accountable for the performance, reliability, and scalability OKRs of the analytics framework. This includes, but is not limited to, developing customized analytics workflows, improving operational telemetry and dashboards to track relevant KPIs for prioritization, and identifying, designing, and implementing solutions to achieve key results.
#GM-AV-1
What You’ll Do:
Create tooling that can receive signals from various sources (Simulation, Road, etc) and allow users to easily build quantitative analysis pipelines to extract usable insights.
Accelerate team’s effectiveness and efficiency by designing and implementing scalable automation tools for test creation, data collection and analysis, debugging, and performance monitoring.
Design and implement extensible and well-tested shared libraries that will be used by many engineers across the organization.
Collaborate with other frameworks and data infra teams to build and deploy tools to improve productivity.
Work closely with autonomous vehicle engineering to enable rapid development and model feedback.
Maintain a high technical standard for code quality on the team, through architectural design and code reviews.
Your Skills & Abilities:
Experience developing scalable software solutions that will be used by many developers
Experience writing Python and C++ in a production environment (unit testing, code review, algorithm performance and tradeoffs, etc.)
Experience developing automation scripts (Python and Bash scripts)
BS in Computer Science, Electrical Engineering, Mechanical Engineering, or Aerospace Engineering
5+ years of industry experience
Strong organizational and communication skills
What Will Give You A Competitive Edge:
Experience with SQL and related tools/tech (Big Query, DuckDB, etc)
Experience with time-series data analysis and online performance monitoring tools
Experience building high performance framework / infrastructure and performance optimization in C++/Python
Familiarity with ROS, Pandas, Python bindings for C++, and plotting/visualization libraries
Familiarity with Data orchestration and transformation tools like AirTable, AirFlow, DBT, etc
Compensation : The salary range for this role is ($129,000 and $198,400). The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.
Hybrid: This role is categorized as hybrid. This means the successful candidate is expected to report to the Mountain View, San Francisco, Warren or Milford Technical Center three times per week, at minimum.
We are seeking a highly capable Sub systems Diagnostics Engineer to lead the definition of diagnostic requirements and strategies for Vehicle Dynamics systems, including Driveline, Trailer Brakes, Vehicle Motion Control (VMC), and Vehicle Dynamic State Estimation (VDSE).
This role is responsible for translating vehicle- and subsystem-level functional requirements into robust diagnostic solutions that enable fault detection, fault isolation, serviceability, safety, and long-term product quality. The successful candidate will work at the intersection of systems engineering, diagnostics architecture, embedded controls, software development, analytics, validation, and supplier management.
The ideal candidate is a technically strong systems engineer who can operate effectively in ambiguous environments, decompose complex problems into structured diagnostic requirements, and influence technical direction across multiple organizations. Experience defining diagnostic strategies, DTC architecture, fault detection methods, diagnostic maturation and recovery logic, remedial actions, customer notifications, and diagnostic data requirements is highly desirable.
This position requires close collaboration with Functional System Architects (FSAs), Diagnostic System Architects (DSAs), Software, Controls, Calibration, Validation, OBD, Quality, Safety, and supplier teams to ensure diagnostics are implemented consistently and effectively throughout the product development lifecycle.
What You’ll do:
Your Skills & Abilities (Required Qualifications)
What Will Give You A Competitive Edge (Preferred Skills)
Why this role matters
This role directly supports GM’s move toward stronger in-house ownership of chassis supervisory controls and diagnostics, faster feature evolution, better software quality, and tighter integration across the vehicle.
It is also a key enabler for improving customer-facing quality, reducing false faults, preserving functional availability in degraded states, and creating differentiated Driveline and Trailering capabilities for future vehicle programs.
]]>The Role
General Motors Treasury Accounting is seeking an experienced accounting professional to support the accounting, reporting, disclosure, reconciliation, and control activities for the Company’s cash equivalents and marketable securities. This role partners closely with Treasury Operations, Capital Markets, Financial Reporting, shared services, Financial Assurance, and external auditors to ensure investment activity is complete, accurately recorded, properly classified, and supported by high-quality analysis and documentation.
The successful candidate will combine strong accounting fundamentals with analytical judgment and a continuous-improvement mindset. The role offers the opportunity to work with significant financial data, investigate exceptions, improve close and reporting processes, and help modernize Treasury Accounting through standardization, automation, and stronger data controls.
What You'll Do
Prepare and analyze monthly and quarterly cash-equivalent and marketable-securities reporting, including carrying value, amortized cost, accrued interest, fair value, realized gains and losses, unrealized gains and losses, and accumulated other comprehensive income.
Prepare support for quarterly and annual financial-statement disclosures, including marketable-securities footnote information and quantitative and qualitative market-risk analysis.
Reconcile investment activity and balances across the Treasury Management System, custodian reports, bank information, and the general ledger or consolidation reporting system.
Validate investment populations, security classifications, prices, maturity dates, cash flows, purchases, sales, paydowns, and unsettled transactions; investigate and resolve variances with the appropriate Treasury partners.
Prepare, review, and support manual journal entries and accounting corrections for marketable securities and related Treasury activity in accordance with GM accounting policies and internal controls.
Perform account reconciliations and maintain complete, review-ready support in the Company’s reconciliation and control-documentation tools.
Support Sarbanes-Oxley control documentation, evidence collection, walkthroughs, testing, and remediation activities related to Treasury Accounting.
Coordinate with Treasury Operations, Capital Markets, Front Office, Middle Office, shared services, Financial Reporting, Tax, Financial Assurance, and external auditors to resolve issues and meet close and reporting deadlines.
Communicate clear explanations for period-over-period changes, valuation movements, classification differences, realized gains and losses, and other financial-statement fluctuations.
Identify opportunities to simplify, standardize, and automate reconciliations, reporting, exception management, and supporting documentation.
Develop and maintain procedures, workpapers, analytical tools, and process documentation that improve transparency, scalability, and continuity within Treasury Accounting.
Apply sound judgment when evaluating unusual transactions, data-quality issues, system-interface exceptions, and potential accounting or disclosure impacts; escalate matters promptly when appropriate.
Your Skills & Abilities (Required Qualifications)
Bachelor’s degree in accounting, finance, business, or a related field.
Relevant experience in accounting, financial reporting, treasury, investments, controllership, or a related finance discipline.
Working knowledge of U.S. generally accepted accounting principles and the preparation or support of financial reporting and disclosures.
Demonstrated ability to reconcile complex financial information, investigate variances, and document conclusions clearly.
Strong analytical skills and attention to detail, with the ability to manage recurring close deliverables and ad hoc requests simultaneously.
Proficiency with Microsoft Excel, including data analysis, lookups, pivot tables, and financial workpaper preparation.
Ability to communicate effectively with accounting, Treasury, audit, and cross-functional business partners.
Demonstrated integrity, accountability, sound judgment, and commitment to strong financial controls.
What Will Give You A Competitive Edge (Preferred Qualifications)
Certified Public Accountant designation or active progress toward CPA certification.
Experience with marketable securities, cash equivalents, debt instruments, derivatives, fair-value accounting, or hedge-accounting support.
Experience preparing SEC reporting support, including 10-Q or 10-K disclosures.
Experience with a Treasury Management System, investment accounting, custodian reporting, or general-ledger-to-subledger reconciliations.
Familiarity with systems and tools such as Wallstreet or another Treasury Management System, SAP or another enterprise resource planning system, Bloomberg, custodian data, reconciliation tools, and documentation or workflow platforms.
Experience with process improvement, reporting automation, data visualization, or analytical tools such as Power BI, KNIME, Python, or similar technologies.
Ability to work effectively in a global operating model with shared-service and geographically distributed partners.
Experience supporting internal audit, external audit, Financial Assurance, or Sarbanes-Oxley testing.
General Motors is seeking an HRIS Software Engineering Manager to lead a team responsible for enterprise applications, platform capabilities, and intelligent workflows across cloud, SaaS, and hybrid environments supporting Finance, Human Resources, and Corporate Systems. This role combines people leadership and technical leadership to drive modernization, improve delivery, and introduce AI-enabled capabilities in practical, secure, and responsible ways.
Lead, coach, and develop a team of software engineers and technical leads.
Drive delivery across the software development lifecycle, from planning through production support.
Set engineering priorities, delivery plans, and measurable outcomes aligned to business goals.
Guide architecture, engineering standards, documentation, and solution delivery.
Remove roadblocks, manage risk, and support high-quality, on-time execution.
Modernize legacy applications, workflows, and integration patterns.
Advance reusable platform capabilities, API-first design, automation, and service-based engineering practices.
Partner with product, architecture, infrastructure, security, and business teams on technology roadmaps.
Improve system reliability, maintainability, observability, and operational readiness.
Drive modern engineering practices including Agile, DevSecOps, CI/CD, automated testing, and release governance.
Identify and implement AI and intelligent automation opportunities that improve efficiency, user experience, and business outcomes.
Follow responsible AI practices across governance, security, privacy, and quality.
Lead hiring, talent planning, performance management, and career development.
Build a high-performing engineering culture focused on accountability, collaboration, and continuous improvement.
Bachelor’s degree in Computer Science, Software Engineering, Information Systems, or a related field, or equivalent experience.
8+ years of experience in software engineering, systems integration, enterprise application development, or platform engineering.
3+ years of experience leading technical teams.
Experience designing and delivering scalable, secure, production-grade systems.
Strong understanding of software architecture, design patterns, reliability, observability, and support models.
Experience with API-driven architectures, enterprise integrations, distributed systems, and backend platforms.
Experience leading teams using Agile, DevOps, CI/CD, and automated testing practices.
Strong communication and stakeholder management skills.
Experience leading or delivering AI-enabled products, intelligent automation, or decision-support capabilities in an enterprise setting.
Understanding of responsible AI principles, including privacy, security, governance, and human oversight.
Experience in leading teams to deploy/migrate custom applications to cloud Azure
Master’s degree in a related technical discipline.
Experience supporting enterprise business platforms such as HR, Finance, collaboration, and other corporate systems.
Experience with technologies such as Java, Spring Boot, Quarkus, C#, TypeScript, React, and microservices.
Experience with cloud platforms and modern data technologies.
Experience leading platform modernization, intelligent automation, or digital transformation initiatives.
Familiarity with enterprise knowledge systems, AI tooling, workflow platforms, or developer productivity platforms.
Experience using Terraform to provision and manage cloud infrastructure as code (IaC)
This job may be eligible for relocation benefits.
GM DOES NOT PROVIDE IMMIGRATION-RELATED SPONSORSHIP FOR THIS ROLE. DO NOT APPLY FOR THIS ROLE IF YOU WILL NEED GM IMMIGRATION SPONSORSHIP (e.g., H-1B, TN, STEM OPT, etc.) NOW OR IN THE FUTURE.
Every day, our products move millions of people as we aim to make driving safer, smarter, and more connected, shaping the future of transportation on a global scale.
The Role:
The Virtual Design, Development, and Validation (VDDV) team is at the forefront of advanced engineering at General Motors, applying state-of-the-art CAE methods to help achieve our vision of Zero Emissions, Zero Crashes, and Zero Congestion.
As a Brake Systems VDDV Virtual Integration Engineer, you will leverage high-fidelity, multi-physics simulations to drive the design, integration, and validation of next-generation brake systems across GM’s award-winning vehicle portfolio. You will play a critical role in connecting component-level physics to full-vehicle system performance, working across domains to ensure robust, optimized designs.
This role also offers the opportunity to shape the future of virtual engineering by developing advanced simulation methodologies, automation tools, and data-driven workflows that enhance speed, accuracy, and decision-making across the enterprise.
We are seeking highly motivated engineers with a passion for CAE innovation, system-level thinking, and technical leadership.
This position may be filled with a Senior Engineer or Engineer. The level for this role will be determined based on the selected candidate’s
qualifications, skills, and experience
What You’ll Do:
The role will lead brake system analysis and virtual test activities in support of Battery Electric Vehicle programs and technology development including but not limited to:
Your Skills & Abilities (Required Qualifications) - Senior Engineer:
Your Skills & Abilities (Required Qualifications) - Engineer:
What Can Give You a Competitive Edge - Senior Engineer:
What Can Give You a Competitive Edge - Engineer:
#LI-KE2
]]>Every day, our products move millions of people as we aim to make driving safer, smarter, and more connected, shaping the future of transportation on a global scale.
The Role
Virtual Propulsion Analysis Engineer responsible for applying advanced analysis and simulation tools to support propulsion system architecture development, with emphasis on optimizing vehicle energy consumption (EV range/fuel economy) and performance. Partner with Propulsion System Architects and cross‑functional engineering teams to design, evaluate, and refine propulsion concepts that meet or exceed customer expectations and program requirements.
What You'll Do
· Lead analysis/simulation to define Propulsion System and corresponding component requirements to meet energy and performance VTS & regulatory targets
· Conduct analysis/simulation to quantify effects of advanced propulsion technologies {engine, hybridization, electrification} on vehicle energy consumption, performance, and drivability for various propulsion system configurations
· Support product teams and leadership in defining next generation propulsion systems with analytical evaluation of the proposed architectures & technologies {ICE, HEV, BEV}
· Work collaboratively with propulsion performance engineers and component hardware design teams to develop balanced requirements
· Lead small team of global analysis engineers to ensure analysis plan deliverables meet required virtual analysis plan timing
· Lead the energy consumption, performance analysis to support system project deliverables and conduct trade studies to evaluate design alternatives (quick studies)
· Present analytical results to project/program team and leadership
· Development of new analytical methodologies and standard work procedures
Your Skills & Abilities (Required Qualifications)
· BS in Mechanical Engineering or Electrical Engineering
· 5+ years’ experience in propulsion engineering
· Proficient in MATLAB and Simulink capability
· Experience with analysis/simulation tools, such as: AMEsim, GT Suite, Unified Model (Verde) or other industry standard energy consumption platforms
· Understanding and application of engineering theory and principles of operation for mechanical/electrical mechanisms
· Knowledge of engineering mechanics, physics, and fundamental understanding of engines, transmissions, drive units, electric motors, power electronics and battery technology
· Appropriate interpersonal styles and communication methods to work effectively with business partners to meet mutual goals
· Independent thinking and strong teamwork skills are needed to succeed
What Will Give You A Competitive Edge (Preferred Qualifications)
· M.S. in Mechanical Engineering
· Experience in testing, development, calibration pertaining to energy consumption and performance
· Experience with system analysis and applying systems engineering methods
· Experience in powertrain and/or vehicle controls
· Knowledge of applied optimization and design of experiments
]]>Every day, our products move millions of people as we aim to make driving safer, smarter, and more connected, shaping the future of transportation on a global scale.
The Role
This posting is seeking a driven Driveline Design Release Engineer to lead the definition, development, integration, release, and launch of driveline components and systems. The role has a strong systems, design, analysis, and integration focus, with responsibility for ensuring driveline hardware meets vehicle and system requirements while delivering program imperatives for performance, cost, mass, timing, manufacturability, and quality.
This position offers the opportunity to work closely with program teams, GM component and vehicle assembly plants, Milford Proving Grounds, suppliers, and numerous organizations across GM, including Powertrain, Chassis Controls, Propulsion Controls, Design, Manufacturing Engineering, Purchasing, Supplier Quality, Validation, Finance, Occupant Safety, and Vehicle Integration.
The selected engineer will join a collaborative team with support from the subsystem lead, technical specialists, engineering group manager, and DRE peers.
Note that this role has the option to work periodically out of our Milford location and spend time in the vehicles at that location.
What You’ll Do (Responsibilities)
Your Skills & Abilities (Required Qualifications)
What Can Give You a Competitive Edge (Preferred Qualifications)
The territory covers central/southern VT, western NH and upstate NY. Must live in territory or relocate to within a 50-mile radius of Rutland, VT. This job may be eligible for relocation benefits.
The Role
The District Manager Parts & Service serves as a sales professional and business liaison which serves a territorial responsibility for the administration of the Sales and Service Agreements that exist between GM and its dealers. They often act as consultants to the dealers and work reciprocally with them on the development and implementation of their business plans. They may be involved in a variety of initiatives including: execution of marketing initiatives, customer retention, financial analysis, and training.
What You'll Do:
Extreme ownership of District Revenue, Retention & Customer Experience
Serve as a trusted advisor to dealership leadership
Responsible for driving revenue growth, achieving Key Performance Indicators (KPIs) and effective execution of all Customer Care & Aftersales (CCA) programs, initiatives and related activities
Expected to thoroughly prepare for and conduct the standardized dealer contact process with an emphasis on dealer priorities/needs and GM performance goals
Responsible for analyzing dealer’s marketing and merchandising plans and provide effective recommendations to drive service lane traffic
Responsible for creating and executing annual Business Plans and implementing effective countermeasures to mitigate headwinds
Responsible for successfully addressing and resolving aftersales customer needs, including but not limited to: resolution of Service Parts Assistance Center (SPAC)/Customer Assistance Center (CAC)/Technical Assistance Center (TAC) cases, Goodwill/Warranty/Policy requests
KPIs: Sales Reporting Tool (SRT) sales objective, Net Promoter Score (NPS), Retention, Service Training Standards (STS) Training, EV Training & Compliance
Your Skills & Abilities (Required Qualifications)
Bachelor’s Degree or Equivalent Experience
2+ years of experience leading, guiding and improving dealership Fixed Operations
Proficient automotive industry knowledge and business acumen including service operations, warranty administration and customer experience
Proficient knowledge of Dealership Service & Parts Operations:
Automotive Parts and Service Systems
Dealer Operating Report & Fixed Analysis Tools
Dealership profit department’s structure and interconnectivity
Consultative Selling Skills
Effective oral and written persuasive and informative communication skills
What Can Give You a Competitive Advantage (Preferred Qualifications)
Successfully builds and maintains strong internal/external relationships
Successfully Drives for Results & Drives Change Management
Effectively demonstrates Informative and Persuasive communication skills
Effectively works autonomously with strong Time Management & Prioritization Skills
Effective With Timely Problem Solving
Consistently Demonstrates Innovation and Creativity
Consistently Demonstrates Initiative & Adaptability
Strong Customer Orientation & Conflict Resolution
Compensation:
The expected base compensation for this role is ($80,700 - $109,400) USD Annually. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.
Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.
Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more
At GM, we are committed to safety in everything we do. As a Global Workplace Safety Intern you are dedicated to this aspect of our culture daily. Your work could directly affect the safety standards of the plant. You would have the opportunity to implement and coordinate projects on a global scale with a hands-on approach.
What You’ll Do:
Assist in the management of safety and industrial hygiene processes related to manufacturing, engineering and non-manufacturing operations
Gain a diversified knowledge of global workplace safety topics including Industrial Hygiene principles and practices to assist in the creation, coordination and implementation of workplace safety processes
Required Qualifications:
Pursuit of a bachelor’s degree in one of the following areas:
Occupational Safety & Health, Environmental Health Sciences, Industrial Safety or related degree
Must be graduating between December 2027 and May 2030
Able to work fulltime, 40 hours per week
Preferred Qualifications:
Project management skills and the proven ability to manage multiple projects
Emerging partnership and collaboration skills and ability to learn from and share knowledge with co-workers in a fast-paced environment
Evidence of integrity, ability to deal with ambiguity, take initiative/self-directed
Consistently demonstrates innovative thinking that is customer-centric
GM does not provide immigration-related sponsorship for this role. Do not apply for this role if you will need GM immigration sponsorship now or in the future. This includes direct company sponsorship, entry of GM as the immigration employer of record on a government form, and any work authorization requiring a written submission or other immigration support from the company (e.g., H1-B, OPT, STEM OPT, CPT, TN, J-1, etc.)
Work Arrangement:
Onsite: This role is categorized as onsite. This means the successful candidate is expected to report to their assigned work location on a full-time basis.
GM will provide a one-time lump sum taxable stipend payment to eligible students selected for the 2027 Student Program - to help facilitate administration of relocation benefits, please apply using the permanent address you would move from.
Start dates for this internship role are May 24th & June 14th of 2027.
Vacancy Status:
Yes - This posting is for an existing vacancy within the organization and is open to new applications. (Backfill)
AI Disclosure:
As part of the application process, Artificial Intelligence will be used in the hiring process for this role
Work Arrangement: Hybrid: This role is categorized as hybrid. This means the successful candidate is expected to report to Markham office three times per week, at minimum.
About the role
General Motors is transforming the automotive landscape through its next-generation Software-Defined Vehicle platform. Data is central to that transformation, powering safety, personalization, energy optimization, operational decision-making, and connected customer experiences.
We are seeking a Staff Engineer to help make GM’s data platforms reliable, observable, operable, and scalable. This is a senior technical leadership role for someone who can move comfortably between system-level design, production operations, incident response, automation, and customer partnership.
You will help define and spread the engineering patterns that make services easier to operate. You will work with SRE, data engineering, infrastructure, developer experience, application, and product teams to improve reliability from design through production and continuously improve how the organization operates.
What you’ll do
Lead the design and implementation of scalable, fault-tolerant, and observable infrastructure supporting vehicle telemetry, data ingestion, and platform operations.
Lead production readiness efforts across multiple teams—engaging directly in code, shaping reliability standards, guiding architectural improvements, and ensuring applications launch with resilient deployments, strong observability, and predictable operations.
Design, implement, and improve CI/CD delivery pipelines that make releases repeatable, safe, observable, and fast. Establish appropriate quality gates, artifact promotion, deployment verification, progressive delivery, and rollback practices.
Partner across SRE, product, and application teams to design and implement meaningful SLOs, SLIs, observability, monitoring and alerting, runbooks, and operational best practices.
Build and improve reusable AI workflows, skills, and evaluations. Apply appropriate validation techniques, including regression testing, structured evaluations, and LLM-as-a-judge approaches where useful.
Automate operational work, including incident intake, triage, diagnostics, remediation, evidence collection, service requests, and customer-facing status workflows.
Participate in a weekly on-call rotation with 12-hour shifts; the rotation cycles every eight weeks. Lead incident response, communicate clearly under pressure, and coordinate effective mitigation and recovery.
Participate in post-incident reviews and drive durable, system-level fixes that prevent recurrence rather than relying on short-term patches or repeated manual workarounds.
Partner directly with internal customers to understand their needs, explain technical trade-offs, and improve service outcomes with tact, empathy, and clear communication.
Influence technical direction across teams, mentor engineers, and raise engineering standards through design reviews, code reviews, documentation, and hands-on leadership with cross-functional engineering projects.
Balance reliability, performance, security, delivery speed, and cost when making technical decisions—especially under pressure.
What you bring
8+ years in SRE, DevOps, or systems engineering, including experience managing or mentoring high-impact teams.
Track record of designing and building and maintaining high-scale, cloud-native systems in production (preferably Azure, AWS, or GCP).
Hands-on experience architecting observability patterns, including standardized instrumentation, OTEL collector configuration, SLO/SLI definitions, and deploying observability resources like monitors, alerts, and dashboards.
Strong understanding of production readiness, service ownership, SLOs, incident management, post-incident learning, and continuous reliability improvement.
Experience participating in an on-call rotation and leading technical response to production incidents.
Experience designing, operating, and improving CI/CD pipelines. Understanding of GitOps, release strategies, quality gates, deployment verification, progressive delivery, and safe rollback is expected.
Strong programming ability in Python, Go, Java, or a comparable language, with disciplined code review, version control, testing, and maintainability practices.
Familiarity with AI-assisted software development, LLM application practices, agentic workflows, and evaluation techniques.
Ability to work effectively with internal customers, including in difficult or high-pressure situations, with professionalism, tact, and empathy.
Excellent ownership attitude and the ability to operate with pace, judgment, and accountability in a high-velocity environment.
Ability to influence without relying on formal authority and to increase adoption of shared engineering patterns.
Strong written and verbal communication skills for both technical and non-technical audiences.
BS / MS / PhD in computer science, engineering, physics, mathematics, or another relevant, technical field
Preferred experience
Azure Databricks
Azure Event Hubs
Azure Kubernetes Service (AKS)
Kubernetes configuration management with Helm and Kustomize
Infrastructure as code, especially Terraform
GitHub Actions, Argo CD, and GitOps-based deployment models
Prometheus, Grafana, Datadog, OpenTelemetry, or comparable observability platforms and tools
LLM application development and testing with Promptfoo, agentic workflows and reusable AI skills with CoPilot
Experience operating large-scale data ingestion, processing, and delivery systems such as Fivetran, Apache Flink, Kafka, and Pulsar
Experience with vehicle telemetry, connected-vehicle platforms, or other high-volume event-driven systems
Why Join Us?
This is more than an engineering role — it’s an opportunity to shape the future of mobility . At GM, you’ll join a team committed to cutting-edge technology, sustainability , and inclusive innovation . With meaningful projects, a collaborative culture, and a global mission, your impact will be tangible and far-reaching.
Compensation:
The salary range for this role is $147,000 to $196,600. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.
GM DOES NOT PROVIDE IMMIGRATION-RELATED SPONSORSHIP FOR THIS ROLE. DO NOT APPLY FOR THIS ROLE IF YOU WILL NEED GM IMMIGRATION SPONSORSHIP NOW OR IN THE FUTURE.
Benefits Overview
The goal of the General Motors of Canada total rewards program is to support the health and well-being of you and your family. Our comprehensive compensation plan currently includes the following benefits, in addition to many others:
The Role
The Senior Application Packaging & Modernization Engineer is responsible for defining, building, and continuously improving how General Motors packages, tests, deploys, updates, and maintains end-user applications across the enterprise.
This role will optimize GM’s current application distribution capabilities, which include SCCM/Configuration Manager, Microsoft Intune, and JAMF , while evaluating and adopting newer, more modern software distribution tools and technologies. The engineer will identify opportunities to further automate and streamline packaging, improve scalability, reduce manual effort, accelerate application onboarding and updates, and support release cycles ranging from multiple deployments per week to periodic quarterly releases.
The Senior Application Packaging & Modernization Engineer partners closely with endpoint engineering, platform teams, security, infrastructure, service operations, and application owners to assess emerging solutions and determine where they can complement or improve existing capabilities. Through continuous modernization, automation, and process improvement, this role will increase deployment speed, reduce operational overhead and end-user disruption, and deliver a more reliable and consistent application experience across the enterprise.
is responsible for defining, building, and continuously improving how General Motors packages, tests, deploys, updates, and maintains end user applications across the enterprise.
This role helps shape the engineering practices and operational execution required to modernize a well-established application packaging and deployment process across Windows, macOS, Linux, and other managed endpoint environments. You will evolve this process into a more agile, technology-enabled model that leverages modern tools and best practices to reduce manual work, improve turnaround time, and support release cycles ranging from multiple updates per week to periodic quarterly releases, while continuously refining the existing guardrails for how applications are packaged, validated, deployed, monitored, and updated — including standards for silent installs, detection logic, rollback planning, dependency management, deployment rings, user notifications, and success measurement.
This role partners closely with endpoint engineering, platform teams, security, infrastructure, service operations, and application owners to translate packaging and deployment requirements into scalable engineering processes, automation, and reliable service delivery.
What You’ll Do
Own the application packaging and deployment engineering strategy as part of the broader End User Engineering mission
Reshape and redesign the application packaging process into a modern, agile model that leverages newer technologies, automation, and reusable patterns to deliver packages faster with less manual effort
Simplify packaging approaches for software with limited customization requirements by driving more standardized, repeatable, and low-touch delivery patterns
Package, test, and maintain enterprise applications for deployment across modern endpoint management platforms including SCCM, Intune, JAMF, and similar tooling
Design and operate deployment campaigns that support release cadences ranging from multiple times per week to a few times per year with minimal to no disruption to end users
Build and maintain packaging standards for application installation, configuration, updates, patching, uninstall, rollback, and remediation
Develop silent install packages, detection methods, dependency handling, pre-flight checks, post-install validation, and user communication patterns
Create phased deployment strategies using pilot groups, ring-based rollouts, maintenance windows, and controlled production releases
Partner with application owners, security teams, and support teams to validate application readiness, compatibility, licensing, and deployment requirements
Automate recurring packaging, testing, deployment, and reporting workflows to improve consistency, quality, and speed
Troubleshoot packaging failures, deployment issues, application conflicts, and endpoint-specific installation challenges across platforms
Define and track operational metrics related to deployment success, failure rates, user disruption, install duration, compliance, and remediation outcomes
Maintain documentation, packaging standards, runbooks, and support guidance for packaged applications and deployment processes
Contribute to roadmap planning by identifying opportunities to modernize application delivery, reduce manual effort, and improve the end user software experience
Your Skills & Abilities (Required Qualifications)
Bachelor’s degree in Computer Science, Information Systems, Engineering, or equivalent experience
6+ years in application packaging, endpoint engineering, endpoint management, client engineering, or related infrastructure roles
Strong hands-on experience packaging and deploying applications in one or more enterprise platforms such as SCCM, Intune, JAMF, Landscape, Chef, or similar tools
Experience designing and executing deployment campaigns for applications with varying update frequencies and business criticality
Experience building application packages with reliable silent install behavior, detection logic, dependency handling, version control, and uninstall support
Hands-on experience supporting application deployment across Windows, macOS, Linux, and/or VDI in a medium-to-large enterprise environment
Strong understanding of deployment ring strategies, pilot validation, change control, rollback planning, and end user communication for software releases
Experience with scripting and automation using PowerShell, Bash, Python, or similar technologies
Experience troubleshooting installation failures, packaging defects, compatibility issues, and policy-driven deployment problems
Demonstrated ability to balance deployment speed, user experience, operational stability, and supportability
Excellent communication skills and comfort working across engineering, security, infrastructure, service operations, and business partners
Solid background in:
- Application packaging standards and lifecycle management
- Enterprise software deployment and patching strategies
-Detection rules, supersedence, dependency management, and remediation logic
-Silent install and uninstall methodologies
-Phased rollout design and production change governance
-Packaging documentation, operational support, and service readiness practices
Preferred Qualifications
Experience with modern application lifecycle and software distribution practices in large-scale enterprise environments
Experience building reusable packaging frameworks, templates, or automation pipelines
Experience with software catalog management, self-service application delivery, and policy-based app assignment
Familiarity with application compatibility testing, code signing, licensing constraints, and vendor release management
Experience with reporting and visualization tools used to monitor deployment health and operational performance
Understanding of security and compliance requirements related to enterprise application deployment
Familiarity with Zero Trust principles and how application delivery integrates with endpoint posture and access controls
Experience supporting executive reporting, operational reviews, or service performance management
What Success Looks Like
Applications are packaged consistently and deployed reliably across supported endpoint platforms
Software updates reach the right users at the right time with minimal business disruption and limited support escalations
Deployment campaigns are measurable, repeatable, and scalable across frequent and infrequent release cycles
Engineering and support teams have clear standards, documentation, and reporting for application deployment health
Packaging and deployment issues are identified early through testing, pilot validation, and operational monitoring
The end user experience improves through predictable software delivery, fewer failed installs, and reduced manual intervention
This job may be eligible for relocation benefits.
GM DOES NOT PROVIDE IMMIGRATION-RELATED SPONSORSHIP FOR THIS ROLE. DO NOT APPLY FOR THIS ROLE IF YOU WILL NEED GM IMMIGRATION SPONSORSHIP (e.g., H-1B, TN, STEM OPT, etc.) NOW OR IN THE FUTURE.
The Role:
We are seeking Electrical Engineer Co-ops to do hands-on work that would potentially add directly to the bottom line of our culture and our company. You will have many responsibilities and accountabilities like control systems engineering and electrical support for programs. You will learn how to lead electrical projects for several different areas of the plant including operations improvements, new and replacement programs. This is a hands-on position in which you may work with periodic repairs and to provide technical support and direction to support personnel/skilled trades.
What You’ll Do:
Investigates system and equipment problems and provides technical guidance in problem resolution
Conducts machine failure root cause analysis and problem solving
Utilizes statistical methods for continuous improvement on plant systems
Analyzes product, process and technology to figure out best methods of manufacture
Develops cost estimates, investment forecasts, business cases, appropriation requests and plans for minor project activity
Develops and supervises planning timetables and projects schedules
Coordinates with area manufacturing engineers on process and equipment planning, including model change, throughput, sourcing, etc.
Supports GMS and Quality Network implementation initiatives
Programming of manufacturing technology (PLC, HMI, Robotics, etc.)
Assists maintenance personnel in operation and maintenance of niche equipment
Required Qualifications:
Pursuit of a Bachelor’s degree in one of the following areas: Electrical Engineering, Electrical Engineering Technology, Controls Engineering, Computer Engineering or Computer Science
Must be graduating between December 2027 and June 2030
Able to work full-time, 40 hours per week
Willing to work in a plant environment
Must be enrolled in a co-op program through Kettering University or Rochester Institute of Technology
Preferred Qualifications:
Demonstrates leadership in field of study, extra-curricular activities or service organizations
Strong critical thinking and analytical skills, especially the ability to synthesize large amounts of data involving multiple variables into comprehensive, applicable insights
Ability to work on multiple projects simultaneously, managing timelines and goals
Willingness to ask questions, take initiative and be resourceful and inventive
Deliver new and creative solutions to sophisticated problems
Specific physical requirements of the position include the ability to:
Walk and stand for prolonged periods of time.
Read standardized work instructions, operate machines and tools, and perform quality inspections.
Promptly detect and respond to safety instructions, alarms, and signals. Wear personal protective equipment, for example: safety glasses, gloves, hats, ear plugs, and safety shoes.
Work in a loud manufacturing environment that is not climate controlled (conditions can be hot or cold).
Frequently and repetitively bend, twist, kneel, crouch, and reach to perform work.
Lift or carry materials weighing up to 15 pounds and periodically carry or lift materials weighing up to 40 lbs.
Occasionally sit, climb (including ladders and lifts) and drive vehicles and equipment.
GM does not provide immigration-related sponsorship for this role. Do not apply for this role if you will need GM immigration sponsorship now or in the future. This includes direct company sponsorship, entry of GM as the immigration employer of record on a government form, and any work authorization requiring a written submission or other immigration support from the company (e.g., H1-B, OPT, STEM OPT, CPT, TN, J-1, etc.)
Work Arrangement:
Onsite: This role is categorized as onsite. This means the successful candidate is expected to report to their assigned facility on a full-time basis.
Each successful candidate will be offered an onsite role at a specific location. Candidate location preferences are considered but cannot be guaranteed.
Job Location
We have opportunities available in the locations below for this role. Please indicate in your application which of these locations you are interested in.
Detroit, MI
Flint, MI
Orion, MI
Rochester, NY
Romulus, MI
Toledo, OH
Tonawanda, NY
GM will provide a one-time lump sum taxable stipend payment to eligible students selected for the 2027 Student Program – to help facilitate administration of relocation benefits, please apply using the permanent address you would move from.
Start dates for this internship role are May 24th and June 14th of 2027.
This job may be eligible for relocation benefits.
Onsite: This role is categorized as onsite. This means the successful candidate is expected to report to Grand Rapids on a full-time basis.
The Role:
The career level Manufacturing Engineer will be skilled in manufacturing equipment, tooling and process improvements and overall manufacturing process support. The work is performed in a manufacturing environment where innovation, creativity and initiative are used to support current manufacturing operations. The work will be focused on high volume machining and grinding.
What You'll Do (Responsibilities):
Responsible for supporting activities that may include:
Your Skills & Abilities (Required Qualifications) :
What Will Give You A Competitive Edge (Preferred Qualifications):
Role Summary
We are seeking a strategic, execution‑oriented Senior Business Planner to support the Physical & Virtual Test Platform (PVTP) organization within Digital Products. This role reports to the Executive Director, PVTP and partners closely with senior leaders, cross‑functional stakeholders, and other planners in the organization to ensure an integrated approach to communications, talent enablement, and operations.
This role will be responsible for a mix of strategic and tactical work, including:
Owning and executing our organizational communications strategy and rhythm (including All People Meetings), in close partnership with our communication partners and planners.
Designing and improving how we communicate strategy, goals, and progress in a way that translates across our org and demonstrates how our work supports the enterprise strategy.
Driving high‑impact strategic work by clarifying ambiguous problems and independently executing solutions in a fast-moving, transformational setting
The ideal candidate combines strong organizational and project management capability with structured problem‑solving, clear storytelling, and the ability to influence across all levels of the organization.
Key Responsibilities
Develop, maintain, and execute an integrated organizational communications strategy
Build and manage a communications calendar and narrative that connects strategy, priorities, and progress across the year.
Manage and continually improve internal communication channels, including email, Slack, SharePoint, and Confluence, ensuring the right messages reach the right audiences.
Partner closely with leadership on organizational artifacts (e.g., key wins, scorecards, workforce views, org presentations) to connect the data to clear narratives for leaders and employees.
Own All People Meeting (APM) planning and delivery end-to-end, including storyline, content creation, speaker preparation, logistics, feedback collection, and continuous improvement.
Plan and execute large‑scale leadership and employee engagement events. Responsible for planning, coordinating and executing, leadership offsites/summits, culture‑building sessions, and employee forums
Partner with HR and other planners to ensure our leaders receive clear communication and signals on upcoming programs that require awareness and action (ie – performance management cycles, annual required training, etc.).
Partner with leadership to ensure our communication strategy supports our senior leadership talent strategy – helping our leaders and employees understand what is expected of them and how we intend to support them all in their growth journey with GM.
Partner with leadership and HR partners to a nalyze our organizational engagement, Workplace of Choice survey results, and other gathered employee insights , helping translate findings into action plans where required.
Plan and support connection and recognition moments (e.g., employee spotlights, key wins, forums, listening sessions) that help employees feel connected to their work, the enterprise, and their personal growth.
Identify and drive process and operating rhythm improvements that deliver measurable impact, improve how teams work together, or unlock new capabilities.
Assist in preparing executive‑ready presentations, reports, and briefing materials that tell a cohesive story using both qualitative and quantitative insights.
Collaborate with the Program Management Office (PMO) and program teams, as needed, to align storytelling and updates on key initiatives, without duplicating program management responsibilities.
Support forecasting, annual planning and capital prioritization as part of LTP (long-term planning) activities
Drive finance coordination and tracking activities for the business unit (purchasing requests, routing, approvals, etc)
Support contract management, renewals, and budget tracking
Minimum Qualifications
Bachelor’s degree in Business, Communications, or a related field.
5+ years of experience in business planning, strategy, organizational communications, or operations; automotive or technology industry experience preferred.
Demonstrated experience designing and executing organizational communications and/or leading strategic initiatives for senior leaders.
Strong analytical and problem-solving skills with a data-driven and AI-first mindset; able to leverage AI effectively to translate complex information into clear insights, narratives, documents, reports, and other high-quality deliverables.
Excellent written and verbal communication, storytelling, and presentation skills; adept at simplifying complexity for broad audiences.
Proven ability to influence and collaborate with senior‑level executives and cross‑functional partners.
Proven ability to manage multiple priorities in a fast‑paced, dynamic, and often ambiguous environment.
Preferred Qualifications
Experience working in cybersecurity, engineering, IT, or data/analytics organizations.
Prior experience in a Chief of Staff, business planning, strategy, or communications‑focused role.
Experience working closely with Engineering Business Managers, Finance, or PMO in a large, matrixed organization.
We’re General Motors (GM), a company driving the future of mobility with advanced self-driving and electric vehicle technologies.
We’re building the world’s most innovative autonomous vehicles to safely connect people to the places, things, and experiences they care about. We believe self-driving vehicles will help save lives, reshape cities, give back time in transit, and restore freedom of movement for many.
GM employees have the opportunity to grow and develop while learning from leaders at the forefront of their fields. With a culture of internal mobility, there’s an opportunity to thrive in a variety of disciplines. This is a place for dreamers and doers to succeed.
If you are looking to play a part in making a positive impact in the world by advancing the revolutionary work of self-driving vehicles, join us.
About the team:
The AV ML Infra team at GM builds end-to-end ML platforms and developers facing products designed to meet the unique demands of AI and ML innovation, supporting a wide range of use cases across teams such as Embodied AI, Simulation, Data Science, and more. We enable scalable and efficient ML experimentation, enhance the productivity of ML engineers, and drive the adoption of cutting-edge ML techniques.
Our ML infrastructure includes:
AI Validation & Inference: Ensures robust model performance by running large-scale simulation workloads and managing reliable ML inference pipelines.
ML Compute: Streamlines and optimizes large-scale ML training and inference across cloud and on-prem compute resources.
AV Pipelines & Lineage: Automates ML workflows while tracking data and model lineage across diverse infrastructures, accelerating engineering velocity and ensuring reproducibility.
Together, these tools and systems empower GM to tackle the complexities of autonomous driving technology and expedite our path to commercialization.
Position Overview:
As a Staff AI/ML Full-Stack Engineer , you will design and build end-to-end software products , owning everything from user-facing interfaces to backend services and cloud infrastructure. You will lead technically complex projects, collaborate closely with product managers and platform teams, and mentor junior engineers. This is a hands-on individual contributor role with a strong emphasis on technical depth, system design, and product impact rather than people management.
Note: This role is part of an ML infrastructure engineering team and does not involve applying machine learning models for specific tasks. The focus is on developing infrastructure products that empower GM teams to perform machine learning and data science at scale.
What you’ll be doing:
Full-Stack Development : Design, implement, and maintain user-facing web applications and internal tools used by AV engineering teams. Build scalable backend services and APIs that power frontend experiences. Ensure systems are secure, reliable, and performant at scale.
Frontend Engineering: Develop modern, responsive UIs using frameworks such as React, Angular, or similar, Collaborate with UX and product partners to deliver intuitive workflows and polished user experiences. Translate complex backend concepts into clear, usable interfaces.
Design & Implementation: Utilize the latest cloud technologies (GCP/Azure) to design, implement, and test scalable distributed computing and data processing solutions in the cloud.
Project Ownership: Take ownership of technical projects from inception to completion, contribute to the product roadmap, and make informed decisions on major technical trade-offs.
Collaboration: Engage effectively in team planning, code reviews, and design discussions, considering the impact of projects across multiple teams while proactively managing conflicts.
Mentorship & Recruitment: Conduct technical interviews with calibrated standards, onboard, and mentor engineers and interns, fostering a culture of growth and knowledge sharing.
What you must have:
5+ years of professional software engineering experience, including full-stack development.
Experience building and operating production-grade web applications
3+ years of experience leading and driving large-scale initiatives.
Proficiency in building scalable infrastructure on the cloud using Python, C++, Golang, or similar languages.
Experience working with relational and NoSQL databases.
Demonstrated ability to develop and maintain systems at scale.
A Bachelor’s, Master’s, or Ph.D. in Computer Science, Electrical Engineering, Mathematics, Physics, or a related field; or equivalent practical experience.
A passion for autonomous vehicle technology and its transformative potential.
Strong attention to detail and a commitment to accuracy.
A proven track record of efficiently solving complex problems.
A startup mentality with a willingness to embrace uncertainty and wear multiple hats.
Bonus Points:
Experience with Google Cloud Platform, Microsoft Azure, or Amazon Web Services.
Experience with open-source orchestration platforms such as Kubeflow, Flyte, Airflow, etc.
Experience with Kubernetes.
Understanding of Machine Learning (ML) models/pipelines.
Python/C++/Golang proficiency.
Relevant publications.
Compensation:
Benefits:
Company Vehicle: Upon successful completion of a motor vehicle report review, you will be eligible to participate in a company vehicle evaluation program, through which you will be assigned a General Motors vehicle to drive and evaluate. Note: program participants are required to purchase/lease a qualifying GM vehicle every four years unless one of a limited number of exceptions applies.
]]>Sr Staff AV Behavior Safety Engineer
The Safety Assurance for Effective Autonomous Driving Software (SAFE‑ADS) department is part of GM’s Global Product Safety, System, and Certification (GPSSC) organization. Our mission is to help GM deliver trusted automated‑driving products. As the central authority for automated driving system (ADS) safety, SAFE‑ADS brings together experts from across the company to develop and maintain a comprehensive safety case including safety performance indicators for GM’s automated‑driving technologies.
GM’s vision is zero crashes, zero emissions, and zero congestion—and autonomous vehicle safety is essential to achieving that vision.
As a Sr Staff AV Behavior Safety Engineer, you will lead the strategy and support execution for how GM defines, measures, and validates the safety of SAE Level 3 – 4 Automated Driving Systems powered by machine‑learned models. You will report into the AV Behavior Safety organization and directly influence launch decisions for GM’s next generation of automated driving products.
If you are passionate about safety, have deep experience in autonomous vehicle development and validation, and are a proven technical leader in AI/ML‑driven systems, this role is an opportunity to shape how millions of people experience safe automated driving.
The Role
The AV Behavior Safety Engineering team is seeking a hands‑on engineer with extensive experience in the end‑to‑end development lifecycle of autonomous vehicle behaviors, from ODD and behavior definition through simulation, closed‑course, and public‑road validation.
You will:
Reference and interpret standards such as ISO 21448 (SOTIF), ISO 5083, and AVSC best practices to define GM’s strategy for safe autonomous system development, validation and deployment
Own the behavior‑focused portion of the ADS Safety Case, including key claims, sufficiency criteria, and recommended evidence for AV behavior safety performance.
Collaborate with Software Validation, Embodied AI, Simulation, and Safety Metrics teams to define the end‑to‑end AV behavior validation methodology for AI‑driven systems.
Set the strategy for how we systematically break down ODDs and how performance is validated per behavior and in aggregate.
Collaborate on evaluation metrics, human benchmarks, and safety launch targets for AV behaviors and overall system performance. This includes supporting development of safety performance indicators (SPIs) for AV behaviors.
Assess AV performance across safety and reliability dimensions using simulation, closed‑course, and public‑road data and provide clear, prioritized feedback to engineering teams
Define and run an assurance process to verify the sufficiency criteria and safety targets to support launch readiness
Why This Role Is Unique
Impact at Scale: Your work will directly influence how GM brings safe automated driving systems to millions of customers.
End‑to‑End Ownership: You will own the strategy, framework, and evidence assessment for AV behavior safety.
Cross‑Functional Reach: You will collaborate across AI, software, validation, simulation, metrics operations and vehicle program teams, shaping the direction of GM’s automated driving roadmap.
If you’re excited to lead in autonomous driving safety, we’d love to hear from you.
Your Skills & Abilities (Required Qualifications)
Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field
6+ years of experience in machine learning, engineering, data science, or a related field
6+ years in autonomous vehicle or robotics development or related field
Demonstrated experience working on production‑intent AV programs
Track record providing technical safety leadership in AV development (e.g., defining safety strategies, risk assessments, validation methodologies, safety case contributions).
Deep understanding of AV behavior development: defining ODDs, behaviors, and evaluation criteria; analyzing simulation, closed‑course, and public‑road test data; and generating prioritized, actionable recommendations for developers.
Experience applying AV safety standards and best practices, such as ISO 5083, ISO 21448 (SOTIF), and AVSC practices
Excellent communication and storytelling skills, including the ability to explain complex technical tradeoffs to executives and non‑technical stakeholders.
Proven ability to influence cross‑functional teams (Software, AI/ML, Systems Engineering, Product, Program Management, Operations) without direct authority.
Strong problem‑solving mindset, comfort with ambiguity, and a proactive attitude toward learning and continuous improvement.
What Will Give You A Competitive Edge (Preferred qualifications)
Masters Degree in Computer Science, Engineering, Mathematics or related field
Programming & Frameworks : Python , R, Java, PySpark, PyTorch, TensorFlow, Scikit-learn, LangChain, SQL
Machine Learning & AI : Large Language Models (LLMs), Generative AI, RAG, Deep learning, Reinforcement Learning, Natural Language Processing (NLP), SVM, XGBoost, Random Forest, Decision Trees, Clustering
Cloud & Big Data Platforms: (Preferred Microsoft Azure (Data Lake, Machine Learning, Databricks)), Nice to Have (AWS (S3, SageMaker, Bedrock) or Google Cloud Platform (BigQuery, Dataflow, AI Platform) )
Deployment & MLOps: MLflow , Model Monitoring & Versioning, Docker & Kubernetes, GitHub , Jira
Data Analysis & Visualization : Tableau, PowerBI, Pandas, NumPy
Compensation : The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position, as well as geography of the selected candidate.
• The salary range for this role is $185,100 and $284,100. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.
• Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.
Benefits:
• Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.
Company vehicle: Upon successful completion of a motor vehicle report review, you will be eligible to participate in a company vehicle evaluation program, though which you will be assigned a General Motors vehicle to drive and evaluate. Note: program participants are required to purchase/lease a qualifying GM vehicle every four years unless one of a limited number of exceptions applies.
#LI-KE2
The Role
At General Motors, we empower Product Managers to solve challenging customer and business problems. We seek passionate and innovative team members who can collaborate effectively within product management, program management, design, and engineering teams to discover and deliver impactful solutions. We hold our teams accountable for results and seek leaders who can influence teammates, stakeholders, and executives using data and logic.
As a Group Product Manager for the AV Capability team you are an expert Product Leader responsible for shaping and executing the strategy, roadmap, and success metrics for the portfolio of autonomy capabilities that will be deployed in GM’s next generation AV products . This role leads a team of AV Capability Product Managers and works closely with Embodied AI, Systems Engineering, Consumer and platform partners to translate GM’s product strategy into high-impact capability outcomes, ensuring delivery at scale, quality, and pace need to meet the product milestones. Success requires strong technical judgment, principled decision-making, and the ability to build alignment across engineering, infrastructure, and other cross functional teams. You should be comfortable navigating ambiguity, making tough tradeoffs, and translating business needs into engineering priorities.
What You’ll Do
Own the product vision and roadmap for AV Capabilities for GM’s next generation autonomy products, balancing engineering constraints, business needs, and internal platform dependencies.
Communicate roadmaps, priorities, experiments, and decisions clearly across a wide spectrum of audiences from internal customers to executives.
Synthesize technical and analytical insights into PRDs and requirements that provide engineers and partners with a clear understanding of what to do and why.
Lead executives and key partners through sophisticated decisions to drive progress toward our strategic goals.
Partner closely with Engineering, Program management, Data Science, Commercial operations, Systems Engineering and Consumer Product to define goals and the roadmap needed to reach them.
Identify and lead improvements to the team's innovation and approach enabling us to scale our team and impact.
Exemplify outstanding product development and management practices in everything you touch.
Define, track, and analyze key product metrics and performance data to measure success and identify improvement areas.
Mentor and develop other product managers, fostering a culture of innovation and excellence.
Stay updated on new technology and competitive products to drive continuous improvement, anticipate threats, and identify risks
Your Skills & Abilities (Required Qualifications)
8+ years of product management or related industry experience.
2+ years of managing teams
Proven experience with technical product management and leading the entire product lifecycle from concept to introduction.
Strong analytical skills with the ability to derive actionable insights from complex data.
Excellent presentation abilities to drive a concrete vision and rally the team.
Technical proficiency in problem-solving with complex software solutions
Experience defining vision and strategy for software products
Exceptional communication and leadership skills, with the ability to drive stakeholder buy-in.
Proven oral and written communication skills; ability to become fluent in technical concepts and explain to non-technical partners
Comfortable with complex and ambiguous problems and situations, and adept at identifying a project’s risks
Enthusiastic and resilient in a constantly evolving environment where creative solutions are the norm.
What Will Give You a Competitive Edge (Preferred Qualifications)
Masters or Doctorate degree in related field
Experience working with data scientists and AI/ML teams on software development tools, pipelines, and release
Experience fostering innovation and driving change in complex organizations
Experience shipping hardware or AI driven consumer products
Hybrid: This role is categorized as hybrid. This means the successful candidate is expected to report to the Warren, MI or Mountain View, CA office three times per week, at minimum.
Compensation: The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of the California Bay Area.
The salary range for this role is $134,700 to $245,00. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.
Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.
Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.
Company Vehicle: Upon successful completion of a motor vehicle report review, you will be eligible to participate in a company vehicle evaluation program, through which you will be assigned a General Motors vehicle to drive and evaluate. Note: program participants are required to purchase/lease a qualifying GM vehicle every four years unless one of a limited number of exceptions applies.
#LI-RF1
#GM-AV-1
The Role:
This Principal Software Engineer – Developer Experience role sits within the Developer Experience (DevEx) team at the intersection of DevEx, data, and business strategy. The team provides tools, platforms, metrics, and enablement programs that reduce friction for engineers, streamline software delivery workflows, and improve developer satisfaction and productivity across General Motors.
In this role, you will focus on Developer Productivity & Insights —defining how we measure and understand engineering effectiveness, partnering with platform and product teams to synthesize signals across SDLC systems, and translating those insights into clear narratives and recommendations for senior engineering leadership up to the CISO office. Rather than owning a single platform, you will drive change through influence and strategy : shaping our metrics strategy, defining and evolving golden paths, evaluating how AI is transforming developer workflows, and turning data into better tools, workflows, and outcomes for engineers.
The DevEx team exists to make life dramatically better for software engineers at GM. As a Principal Software Engineer , you’ll help lead the shift from a traditional IT model to an AI-native engineering organization—setting direction and designing and building automation, golden paths, and AI-driven solutions that remove friction from developer workflows while mentoring and upskilling engineers across IT.
What you’ll do:
What you bring:
Minimum Qualifications
What Will Give You A Competitive Edge (Preferred Qualifications):
Gm does not provide immigration-related sponsorship for this role. Do not apply for this role if you will need gm immigration sponsorship (e.g., h-1b, tn, stem opt, etc.) Now or in the future.
#LI-CK1
The Role
General Motors has needs for qualified Die Maker Journeypersons. Working under minimal supervision, the skilled trades Die Maker Journeyperson is responsible for building, repairing, remodeling, and maintaining all types of dies using various types of material.
Primary Responsibilities:
Follow established safety procedures according to OSHA standards and company procedures
Fabricate and/or repair dies for production, including performing required welding operations
Read blueprints to perform die repair/fabrication
Perform die repair, using mills, lathes and grinders as well as hand tools
Make in-press repairs of dies/tooling
Die tryout duties as required
Utilize measuring instruments such as calipers, gauge blocks, micrometers, to repair/fabricate dies
Drive a hi-lo and/or operate overhead crane to transport dies as well as other heavy equipment
Document and record various data for the department
Basic computer skills
Additional Description
Interested individuals must meet the following minimum qualifications:
At least six (6) years of related experience as a Die Maker or a U.S Department of Labor Certificate of Completion in the Die Maker trade.
Must be able to satisfactorily complete the General Motors hiring process requirements which includes comprehensive assessments, drug testing, and a background check
At least 18 years of age
Eligible to work in the United States
Must be willing to work flexible shift hours and day, afternoon, or night shift as well as overtime hours daily, weekends and holidays on those shifts with little notice.
GM DOES NOT PROVIDE IMMIGRATION-RELATED SPONSORSHIP FOR THIS ROLE. DO NOT APPLY FOR THIS ROLE IF YOU NEED OR WILL NEED GM IMMIGRATION SPONSORSHIP TO WORK OR TO REMAIN EMPLOYED AT GM (e.g., H-1B, TN, STEM OPT, etc.).
If you are a current GM employee operating under a collective bargaining agreement, please contact your local HR/LR for employee placement opportunities.
This position may be filled with a Journeyperson or Journeyperson In Training, the compensation ranges for a JIT include ($37.78 - $44.08) or Journeyperson rate of $44.98. Certificates/credentials and scoring in interview will determine your status and pay.
Physical Requirements
General Motors UAW hourly employment offers a very competitive compensation and benefit package. An annual incentive payout is also available, as qualified.
Relocation and travel expenses will be the responsibility of the applicant.
Please note – per the labor agreement between GM and the UAW, GM may share information and documentation relating to the credentials of applicants for this position (e.g., resumes, journeyperson cards, interview notes, certificates, etc.) with UAW personnel who have a need to know as part of their role on the UAW skilled trades team.
While there will be long days and moments that test your resilience, you’ll find purpose in your work, flexibility to prioritize your family, and the support of a people-first culture. If you’re ready to grow, thrive, and make a real impact, we’d love to hear from you.
WHY: The purpose of this role is to develop flexible and portable code to be used by multiple organizations to update electric control units in and outside of the vehicle. It will, also, be used to call product functions to verify internal circuits of the vehicle.
WHAT: As an SDV System Integration Software Developer, you will be developing and testing software to be used between vehicle interfaces and software embedded in the vehicle for flash and test.
HOW: Supporting the plants, product engineering, IT, and our own team
to make it happen for our internal and external customers.
What You’ll Do (Responsibilities):
Foster a forward-thinking work culture that embraces change and navigates future organizational and industry challenges.
Build and nurture strategic relationships across various functions including software, manufacturing, and program management to synergize efforts towards future innovations.
Participate in cross functional team to clarify requirements for flash and test.
Participate in cross functional team to clarify infrastructure and communications between other external systems and our team.
Track work and provide documentation of development.
Assist in development of code.
Assist in porting test code and customizing for new environments.
Identify potential risks and challenges of development.
Share lessons learned with teammates.
Must understand and be willing to not only write code but continually check integration status and work through gaps/issues in specification with the whole enterprise in mind, not just the impact to your deliverable.
Your Skills and Abilities (Required Qualifications):
Expert level C++ coding capability.
Experience with Linux operating systems.
Hardware experience.
USB,TCP/IP, and SQL.
Unit testing experience.
JIRA or equivocal system experience.
Confluence or equivocal system experience.
What Will Give You a Competitive Edge (Preferred Qualifications):
Dynamic team player who appreciates the skills their teammates bring and celebrates everyone’s wins.
Ability to teach and learn from peers.
Technical documentation skills.
Desire to develop technologies that will be used throughout GM for years.
Ability to break down large complex problems into smaller more manageable problems.
Successful new technology integration.
Ability to transition from lead on one subject to engineer on another subject.
QT QML framework
The Role
General Motors is seeking a creative Exterior Designer to join the Advanced Design / Architectural Framing Studio. This role focuses on shaping forward-looking vehicle concepts and exterior proposals that express brand vision, innovation, and future architectural direction. The designer will operate with a high degree of independence, applying sound judgment to complex design challenges while contributing to a collaborative studio environment. This position plays a key role in translating creative direction into compelling, production-influencing design proposals. The ideal candidate brings strong expertise in exterior form, proportion, and storytelling, along with the ability to communicate design intent through both 2D and 3D mediums.
What You’ll Do
Develop advanced exterior design concepts from early ideation through refined proposal stages
Create high-quality sketches, renderings, and digital assets that communicate proportion, stance, and surface development
Interpret creative direction and translate it into multiple design themes and proposals
Work within architectural constraints while influencing future vehicle platforms and design possibilities
Identify and resolve design challenges related to package, feasibility, proportion, and brand alignment
Collaborate cross-functionally with interior design, sculpting, visualization, engineering, and brand teams
Translate 2D sketches into 3D models at both scale and full size and present work in studio reviews
Your Skills & Abilities (Required Qualifications)
Bachelor’s degree in Transportation Design, Industrial Design, or related field, or equivalent experience
2+ years of professional experience in automotive exterior design, concept design, or advanced studio environments
Strong portfolio demonstrating exterior sketching, ideation, and form development expertise
Proven ability to work independently on assigned design work with moderate supervision
Strong understanding of design development processes and cross-functional integration
Excellent communication, collaboration, and presentation skills
Demonstrated ability to translate 2D concepts into 3D models at scale and full size
What Will Give You A Competitive Edge (Preferred Qualifications)
Experience working in an advanced or concept design studio
Strong digital design and visualization skills using relevant industry tools
Ability to balance bold creative thinking with technical and program constraints
Awareness of emerging mobility, design, and customer trends shaping future vehicle concepts
The Role
At General Motors, we empower Product Managers to solve challenging customer and business problems. We seek passionate and innovative team members who can collaborate effectively within product management, program management, design, and engineering teams to discover and deliver impactful solutions. We hold our teams accountable for results and seek leaders who can influence teammates, stakeholders, and executives using data and logic.
As a Senior Product Manager, you will help define and deliver the developer platforms and workflows that support complex data review and event auditing from autonomous vehicle logs. Incorporating AI-driven diagnostics and triage capabilities, these web-based applications display multi-modal sensor data, empowering engineering, safety, performance, and operations teams to analyze system behavior, investigate issues, and help optimize AV performance at scale. This role will focus on turning user needs into clear product requirements, prioritizing roadmap work, and partnering closely with engineering, design, data science, and program teams to build fast, powerful, and reliable tools for the GM AV program.
Success requires curiosity about AV systems, empathy for internal users, strong analytical thinking, and the ability to work through ambiguous technical problems with cross-functional partners. You should be comfortable learning complex workflows, using data to make prioritization decisions, and translating developer and reviewer pain points into practical product improvements.
What You’ll Do
Own product requirements and roadmap priorities for internal web-based tools used to review, triage, investigate, and audit events from AV logs.
Partner with autonomy engineers, data scientists, safety teams, operations teams, and developers to understand workflows involving multi-modal sensor data, including camera, radar, lidar, map, vehicle state, planning, prediction, and system event data.
Translate complex user needs into clear product requirements, user stories, acceptance criteria, and prioritization recommendations.
Improve reviewer and developer productivity by identifying workflow bottlenecks, usability gaps, performance issues, and opportunities for automation.
Help evolve tools that are fast, intuitive, reliable, and scalable enough to support current and future GM AV program needs.
Define and track product metrics such as review throughput, time to triage, investigation cycle time, tool reliability, user adoption, and workflow completion quality.
Work closely with engineering and design partners to deliver high-quality experiences for visualizing, navigating, labeling, filtering, and analyzing complex AV data.
Support roadmap planning by synthesizing user feedback, operational data, technical constraints, and program priorities.
Communicate product decisions, tradeoffs, launch plans, and progress updates to stakeholders and cross-functional partners.
Stay close to evolving AV development needs and help ensure internal tools can support future investigation, evaluation, and performance understanding workflows.
Your Skills & Abilities (Required Qualifications)
3+ years of product management, technical program management, software product development, data tooling, developer tooling, or related industry experience.
Experience working with engineering teams to define requirements, prioritize features, and deliver software products or internal tools.
Strong analytical skills with the ability to understand complex data, identify patterns, and make practical product recommendations.
Ability to learn technical domains quickly and communicate clearly with both technical and non-technical partners.
Experience gathering user feedback, documenting workflows, writing product requirements, and defining success metrics.
Comfort working in ambiguous environments where requirements evolve as teams learn more from users, data, and system performance.
Strong written and verbal communication skills, including the ability to explain tradeoffs, risks, and priorities.
Collaborative working style with curiosity, attention to detail, and a bias toward measurable product impact.
What Will Give You a Competitive Edge (Preferred Qualifications)
Experience with autonomous vehicle, ADAS, robotics, simulation, mapping, perception, planning, or safety analysis workflows.
Experience building or supporting internal web applications, data review tools, labeling tools, observability tools, or developer productivity platforms.
Familiarity with multi-modal sensor data, event review, log analysis, or large-scale data pipelines.
Experience working with UX design and front-end engineering teams to simplify complex technical workflows.
Bachelor’s or Master’s degree in computer science, engineering, data science, human-computer interaction, or a related field.
Hybrid: This role is categorized as hybrid. This means the successful candidate is expected to report to the Warren Technical Center in Warren, MI or Sunnyvale, CA office three times per week, at minimum.
Compensation : The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position, as well as geography of the selected candidate. The compensation may not be representative for positions located outside of the California Bay Area.
The salary range for this role is 106,600 and 192,700. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.
Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.
Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more
#LI-RF1
General Motors is seeking a skilled Sr. Workday Integrations Configurator to design, develop, and maintain robust integration solutions within our Workday platform. This role will be crucial in ensuring seamless data flow and functionality across various HR and business systems. You will join a dedicated Workday Integrations team focused on developing scalable solutions using advanced technologies, with the opportunity to contribute innovative ideas.
Design, configure, and test Workday integrations using various Workday integration tools (EIB, Core Connectors, Cloud Connect, Studio).
Collaborate with HR, IT, and business stakeholders to gather and analyze integration requirements, translating them into technical specifications.
Develop and maintain detailed documentation for all integration processes, configurations, and troubleshooting guides.
Perform root cause analysis and resolution of integration issues, ensuring data accuracy and system stability.
Participate in the full software development life cycle, including design, development, testing, deployment, and ongoing support of Workday integrations.
Stay up-to-date with Workday updates and new features, assessing their impact on existing integrations and recommending appropriate adjustments.
Utilize strong problem-solving skills to troubleshoot complex integration scenarios and optimize integration performance.
5+ years of HR Technology experience ( SAP, PeopleSoft, Workday ).
3-5 years of recent hands-on experience in building and debugging Workday Integrations including EIB, Connectors ( PECI, WECI, CCW etc.) and Workday Studio , and creating Workday custom reports, calculated fields and XSLTs .
Demonstrated experience with ** Computer Program Design Techniques ** for building scalable and maintainable integration solutions.
Demonstrated integration experience in Human Resources related domains ( Onboarding/Offboarding, Payroll, Benefits, Timekeeping , etc.).
Experience in creating detailed system interface specifications, field mapping, and system process designs .
Strong knowledge of Cloud Computing, Web Services (SOAP & RESTFul ) and integration patterns.
Proven ability in determining IT system requirements to effectively translate business needs into technical specifications for Workday integrations.
Hands-on experience with Product Configurators , specifically within the Workday platform (e.g., configuring integration templates, business process frameworks).
Familiarity with Web Programming Languages (e.g., JavaScript, Python ) for advanced integration scenarios and API interactions is a plus.
Strong understanding of Workday's data model and security framework.
Excellent communication and interpersonal skills to collaborate effectively with diverse teams.
AI & Intelligent Systems Requirements
Basic understanding of Artificial Intelligence (AI) and Machine Learning (ML) concepts, including general awareness of how models are developed and used.
Some exposure to integrating AI capabilities into enterprise platforms, such as automation, simple analytics, or user-facing features. Exposure to using AI capabilities with Workday gives a competitive advantage.
Familiarity with common AI tools or platforms, including cloud-based services or emerging technologies, is preferred.
General awareness of data quality, governance, and responsible AI practices, including privacy and security considerations.
Interest in applying AI to improve workflows, productivity, or platform operations, with the ability to identify practical opportunities for adoption.
Hands-on experience with Workday Extend
Workday Pro Certification (Integrations) is highly desired
Hands-on experience with Java programming language.
Experience in technology modernization and AI adoption initiatives.
General Motors has needs for qualified Industrial Electrician Journeypersons. Working under minimal supervision, the skilled trades Electrician Journeyperson is responsible for layout, installation, repair and preventative maintenance of complicated electrical equipment and circuits, troubleshooting and technical expertise on control systems.
Primary Responsibilities:
Follow established safety procedures according to OSHA standards and company procedures
Responsible for the maintenance and repair of electrical equipment
Analyze and troubleshoot electrical malfunctions in equipment and related components, diagnosing and correcting the problems quickly to avoid production delays
Perform electrical preventative and corrective maintenance on all plant equipment
Promote teamwork and show a willingness to work with other departments
Participate in continuous improvement activities
Read and interpret drawings and wiring schematics
Demonstrate strong problem-solving skills
Interested individuals must meet the following minimum qualifications:
At least six (6) years of related experience as an Electrician or a U.S. Department of Labor Certificate of Completion in the Electrical trade.
Must be able to satisfactorily complete the General Motors hiring process requirements which includes comprehensive assessments, drug testing, and a background check
At least 18 years of age
Eligible to work in the United States
Must be willing to work flexible shift hours and day, afternoon, or night shift as well as overtime hours daily, weekends and holidays on those shifts with little notice
GM DOES NOT PROVIDE IMMIGRATION-RELATED SPONSORSHIP FOR THIS ROLE. DO NOT APPLY FOR THIS ROLE IF YOU NEED OR WILL NEED GM IMMIGRATION SPONSORSHIP TO WORK OR TO REMAIN EMPLOYED AT GM (e.g., H-1B, TN, STEM OPT, etc.).
If you are a current GM employee operating under a collective bargaining agreement, please contact your local HR/LR for employee placement opportunities.
This position may be filled with a Journeyperson or Journeyperson In Training, the compensation ranges for a JIT include ($36.68-$42.80) or Journeyperson rate of ($43.67). Certificates/credentials and scoring in interview will determine your status and pay.
Physical Requirements:
Quick response to safety instructions, alarms, and signals are a must
Ability to work and stand for extended periods
Comfortably wear personal protective equipment
Navigate a busy environment
Bend, twist, kneel, crouch, and reach
May need to lift or carry materials weighing up to 50 lbs. depending on department
Occasional sitting during certain tasks
Drive mobile equipment when needed
General Motors UAW hourly employment offers a very competitive compensation and benefit package. An annual incentive payout is also available, as qualified.
Relocation and travel expenses will be the responsibility of the applicant.
Please note – per the labor agreement between GM and the UAW, GM may share information and documentation relating to the credentials of applicants for this position (e.g., resumes, journeyperson cards, interview notes, certificates, etc.) with UAW personnel who have a need to know as part of their role on the UAW skilled trades team
The HR Business Partner (HRBP) is an advisor and performance enabler who partners with business leaders to drive organizational effectiveness through people. As the first point of contact for complex human capital matters, the HRBP delivers high-impact HR solutions aligned with GM’s business purpose, strategy, and culture.
Partner with business leaders to define and execute talent strategies, including workforce planning, job design, and organizational transformation. Build credibility and influence across teams without relying on formal authority.
Lead organizational design efforts to optimize performance and support transformation.
Act as a talent scout, identifying performance gaps and strengths across teams. Shape and protect the employee experience to ensure alignment with company values and goals.
Drive leadership development and build people leader effectiveness.
Serve as a trusted advisor, guiding leaders through ambiguity and change. Offer clarity, calm, and actionable solutions for complex HR issues.
Provide guidance on complex employee relations matters, using sound judgment, established frameworks, and consideration of business and legal risk.
Use data and insights to drive strategic decisions and demonstrate HR’s impact. Apply advanced analytical and problem-solving techniques to resolve non-standard challenges.
Serve as a catalyst for change during periods of transformation, helping leaders navigate organizational shifts with clarity and confidence. Influence outcomes without authority, shaping direction and driving adoption of new approaches across the broader functional area.
Guides leaders in applying Total Rewards practices that align with strategy, equity, and market realities. Ensures sound judgment in complex situations and protects the company’s reputation through fair, consistent, and compliant decisions.
Collaborate with Centers of Excellence (COEs) to deliver business-aligned HR solutions. Diagnose root issues and co-create solutions with COEs.
Expertise
Recognized as an expert in their field. Applies highly specialized knowledge and extensive practical experience in the area, as well as organizational expertise across multiple areas within a function or across functions. Applies strong business acumen and complex problem-solving techniques to identify, analyze and resolve issues that influence achievement of key functional objectives. Develops new or significantly improves existing policies, methods, and systems. incorporating relevant disciplines, theories, and techniques through independent judgment and discretion. Works independently with broad latitude in decisions and actions in a complex environment. Often acts as a subject matter expert in their area of expertise. Navigates high levels of ambiguity, guiding leaders and teams through transformational shifts with confidence and clarity.
Complexity
Works on complex issues and assignments that require conceptual thinking, originality and ingenuity of approaches, and a wide application of principles, theories, and concepts to achieve the results. Provides strategic clarity and actionable solutions for highly complex HR issues impacting multiple geographies and business units. Applies advanced diagnostic frameworks and scenario modeling to resolve non-standard, enterprise-level challenges. Understands the interrelationships of different aspects and implications of actions. Designs and develops impactful and innovative solutions to considerably broad and complex problems, often spanning across multiple disciplines within the business unit. Exercises independent judgement in selecting methods and evaluating criteria for obtaining results. Expertly adapts communication style and uses persuasion and occasionally negotiation to convince others to accept new ideas, approaches, concepts, or practices. Operates as a key influencer across global HR functions and business units, delivering cohesive, future-focused solutions. Deals with situations where differing opinions, past practices or experiences may significantly constrain agreement.
Scope & Impact
Sets objectives and takes responsibility for achieving metrics and Key Performance Indicators that directly influence the attainment of results, providing measurable contributions to HR outcomes and aligning with GM's strategic priorities. Contributes innovative, impactful ideas, and leads large projects with broad visibility. Develops, plans, and implements solutions that require integration of multiple related teams or larger teams of both internal and external stakeholders. Champions change and influence adoption of innovative HR practices. Co-leads complex change management programs, ensuring adoption and sustainability across diverse teams. Role models GM's behaviors necessary to maintain a productive team without inhibiting individuality and personal diversity. May serve as an indirect leader within their function. Their contributions drive the delivery of results that impact various departments and or functions and directly contribute to execution of functional strategies. Serve as a resource and mentor to less experienced HR professionals, providing guidance on complex issues. Identifies recurring team or process challenges and collaborates with HR Centers of Excellence and HR Operations to implement practical, scalable solutions.
Qualifications
Bachelor’s degree in Human Resources, Business Administration, or equivalent professional experience. Advanced degree (MBA or MA in HR) strongly preferred.
10+ years of progressive HR experience, including significant exposure to strategic HRBP roles in large, complex organizations.
Proven track record in enterprise organizational design, leadership development, and global talent management.
Expertise in HR technology platforms and AI-enabled HR solutions.
Exceptional communication, proven ability to influence senior stakeholders.
At General Motors, our Cybersecurity organization protects the company’s global operations through secure, scalable solutions that enable innovation. Within Security Enablement, we partner with application teams to integrate enterprise applications into GM’s security ecosystem with strong controls, streamlined onboarding, and automation.
What You’ll Do:
We are seeking a Senior Cybersecurity Engineer to lead security enablement and automation for enterprise application onboarding. This role will drive secure, scalable integration patterns across GM’s identity and access management ecosystem, with a strong focus on automation, standardization, and self-service with guardrails.
The ideal candidate brings deep cybersecurity and IAM expertise, along with a development background and experience building tools or automation that improve operational efficiency and control consistency.
Technical Leadership
Lead secure application onboarding design and implementation across the enterprise
Define and support authentication and authorization patterns including SAML, OAuth 2.0, and OpenID Connect
Establish scalable standards for identity integration, access management, and application onboarding
Automation and Process Improvement
Design and build automation to streamline onboarding, validation, configuration, and support processes
Develop reusable tools, scripts, APIs, and workflows to reduce manual effort and improve consistency
Expand self-service capabilities for application teams while maintaining security guardrails
Security Enablement
Partner with application owners, developers, architects, and business stakeholders to gather requirements and guide secure onboarding
Advise teams on secure integration patterns and control requirements
Drive onboarding strategy aligned to cybersecurity, IAM, and enterprise architecture goals
Support deployment and user adoption of enterprise security tools and systems across application teams and stakeholders
Partner with product, engineering, and security teams to improve security tools by identifying user pain points and providing feedback on features, usability, and integration needs
Risk and Compliance
Ensure onboarded applications meet internal security standards, policies, and compliance requirements
Conduct risk assessments and help implement appropriate controls
Improve onboarding quality through documentation, standardization, and continuous improvement
Collaboration and Mentorship
Work across Cybersecurity, IAM, infrastructure, and application teams to deliver secure outcomes
Mentor junior engineers and contribute to team technical direction and roadmap priorities
Your Skills & Abilities (Required Qualifications):
Bachelor’s degree in Cybersecurity, Computer Science, Information Technology, Engineering, or a related field
6+ years of experience in Cybersecurity, Information Security, or Identity and Access Management
Strong experience with enterprise IAM integrations in a complex environment
Hands-on experience with SAML, OAuth 2.0, OpenID Connect, and related authentication technologies
Strong development or automation background, including scripting or programming with Python, PowerShell, JavaScript, Java, or similar
Experience with cloud identity platforms such as Microsoft Entra ID, AWS, GCP, or similar
Strong understanding of access control, encryption, and secure application architecture
Demonstrated ability to lead technical initiatives across cross-functional teams
What Can Give You a Competitive Advantage (Preferred Qualifications):
Master’s degree in a related field
Experience in a lead engineering role within Cybersecurity, IAM, or Security Enablement
Experience building automation using APIs, workflow platforms, infrastructure-as-code, or CI/CD tooling
Experience improving onboarding through reusable patterns, standards, and engineering guardrails
Relevant certifications such as CISSP, CISM, or CCSP
Deep knowledge of IAM, federation, and secure application integration
Strong automation and software engineering mindset
Ability to balance security, scalability, and user experience
Strong communication, problem-solving, and collaboration skills
Ability to influence across teams and manage multiple priorities
#LI-SB3
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On-site: This role is categorized as onsite. This means the successful candidate is expected to report to the Rochester, NY plant on a full-time basis.
The Role:
The Occupational Health Registered Nurse is responsible for providing emergency care, first aid and episodic treatment of occupational injuries and illnesses within standing orders. This position works toward the prevention of illness & injury, protection from work related and environmental hazards, and promotion and restoration of health. Individual will maintain accurate medical records related to legal, regulatory and reporting requirements. Motivated to work independently.
What You'll Do:
Administers professional nursing care to sick and/or injured employees
Performs and evaluates various clinical and diagnostic tests
Assists plant physician in minor surgical procedures
Interviews and documents medical history of employees
Works effectively with the Health Services team and other departments
Maintains appropriate medical records to ensure quality and accuracy
Performs and documents physical exams
Adheres to common practices and procedures throughout the department
Maintains equipment and supplies
Assists with the promotion of plant wellness programs
Works with health services customers in a knowledgeable and professional manner
Your Skills & Abilities (Required Qualifications):
Associate Degree in Nursing
Valid state nursing license
2+ years nursing experience
Certified in Healthcare Provider CPR/AED
Proficient with electronic medical records and basic computer programs/software
Must be able to work on 2nd Shift
What Can Give You a Competitive Edge (Preferred Qualifications):
Bachelor’s Degree in Nursing
ER, ICU or Occupational Health experience
Certification as Occupational Health Nursing (COHN) or Occupational Health Nursing Specialist (COHN-S)
Compensation:
The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position, as well as geography of the selected candidate.
• The salary range for this role is $53,400-$92,800. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.
• Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.
Benefits:
• Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.
This job is not eligible for relocation benefits. Any relocation costs would be the responsibility of the selected candidate.
]]>If you are a current employee of General Motors working in a per diem, hourly, or regular salaried role, you must apply through the internal careers page. Please navigate to https://workday.gm.com and search for GM Find Jobs.
The General Motors Manufacturing Group is seeking to identify highly motivated and qualified individuals for current and potential future opportunities as a Group Leader. In anticipation of these openings becoming available, we welcome you to apply so we can begin the pre-screening and interview process.
Onsite: This role is categorized as onsite. This means the successful candidate is expected to report to Bay City, Michigan on a full-time basis.
The Role:
As a Group Leader in Production, Quality, or Global Supply Chain (GSC), you will be responsible for leading teams of employees or technical personnel to drive operational excellence across manufacturing processes. This includes managing daily operations, developing and improving business processes, and fostering a culture of teamwork and collaboration.
In this role, you may oversee production activities, quality assurance, inspection, problem-solving, and GM Built-in-Quality initiatives. You will be expected to apply independent judgment within the framework of Global Manufacturing Systems, with a strong focus on Safety, People, Quality, Responsiveness, Cost, and Environment (SPQRCE).
What You'll Do (Responsibilities):
Specific physical requirements of the position include the ability to:
Your Skills and Abilities (Required Qualifications):
What Can Give You a Competitive Edge (Preferred Qualifications):
Our Design organization plays a critical role in realizing GM’s vision by shaping the emotional and functional character of every vehicle and experience we create. Within this organization, the General Motors Performance Studio is at the forefront of expressive, driver-focused performance design that elevates our iconic nameplates and future products.
The Lead Creative Designer – Performance Studio is responsible for leading advanced and production exterior performance design for GM performance vehicles and programs. This role focuses on performance-oriented products, including aero packages, exterior graphics, appearance packages, and motorsport opportunities.
The ideal candidate is a highly creative, hands-on exterior designer with a deep understanding of performance vehicle proportion, brand character, aerodynamics, and motorsports-inspired aesthetics, combined with the leadership skills to guide a team of designers and cross-functional partners.
What You’ll Do
Lead the creative development of exterior performance design concepts for new and existing GM performance vehicles, programs, and accessories, from early ideation through production implementation.
Define and communicate a compelling performance design vision that aligns with each brand’s DNA and GM’s overall design strategy.
Generate high-quality sketches, renderings, and digital models that explore proportion, surface development, graphics, and aero elements with a strong sense of emotion, stance, and performance authenticity.
Direct, mentor, and inspire a small team of creative designers, fostering a culture of innovation, collaboration, and excellence in craft.
Partner closely with Studio leadership, Clay and Digital Sculpting, Engineering, Aerodynamics, Performance Engineering, Marketing, and Program Management to balance design intent with feasibility, performance targets, cost, and timing.
Champion brand-appropriate performance graphics, color-breaks, and visual signatures that reinforce vehicle identity on both road and track, leveraging GM’s digital design workflows (including VR reviews and advanced visualization) to refine quality and accelerate decision-making.
Monitor industry, motorsports, and cultural trends related to performance, customization, and enthusiast communities and advocate for the customer and enthusiast perspective in all design decisions.
Your Skills & Abilities (Required Qualifications)
Bachelor’s degree in Transportation Design, Industrial Design, or related field from an accredited institution.
7+ years of professional automotive exterior design experience with a strong portfolio of performance-oriented and advanced/production programs.
Proven experience leading design themes or sub-programs from concept through production in close partnership with clay/digital sculpting and engineering.
Expert sketching and visualization abilities (traditional and digital) plus proficiency in key design/visualization tools (e.g., Adobe Creative Suite, Alias, Blender, VRED or similar).
Deep understanding of proportion, surfacing, aero principles, and performance design language, with strong communication, collaboration, mentoring skills, and ability to work on-site in Warren, MI.
What Will Give You A Competitive Edge (Preferred Qualifications)
Experience working specifically on performance or motorsports programs (road cars, track cars, racing programs, or aftermarket performance products).
Prior experience in a lead, principal, or equivalent senior designer capacity within an OEM or advanced design studio.
Familiarity with GM brands and performance heritage and enthusiasm for the performance and enthusiast space.
Experience with VR-based design reviews, real-time visualization, and/or innovative digital design workflows.
Strong storytelling skills, including the ability to connect design solutions to brand strategy, customer insights, and business objectives.
General Motors has a need for qualified Mechanical Journeypersons (Toolmaker) You will work under minimal supervision with a high level of independent judgement and problem solving. You should be flexible enough to take on and tackle multiple job assignments in a shift.
Preferred Experience Includes:
Experience with planned maintenance systems and predictive technologies
Experience with industrial robotics, automation, and conveyance systems
Primary Responsibilities:
Follow established safety procedures according to OSHA standards and company procedures
Maintain, dismantle, repair, and replace mechanical and hydraulic components (e. g. bearings, seals, details, carriers, etc.) on industrial machinery such as shafting, motors, generators, air compressors, engines, pumps, cylinders, gears, couplings, linkages, ball screws, high speed CNC spindles, coolant systems and filters, and combustion equipment and valves
Layout, assemble, fabricate, maintain, and repair piping systems
Use various hand or power tools for measuring, cutting, threading, grooving, bending, soldering, assembling, joining, and installing pipes, valves, and fittings
Read and interpret blueprints for the mechanical operation and assembly of conveyor systems, material handling systems, robots, and other automation
Operate mobile equipment (e.g. forklifts, vertical lifts, cranes)
Determine loading requirements to rig equipment and material for lifting
Set up and operate conventional or computer numerically controlled (CNC) machine tools such as lathes, milling machines, and grinders to cut, bore, grind, or otherwise shape parts to prescribed dimensions and finishes
Fabricate punches, tools, steel rule tools and t-sets to exact specifications
Plan sequences of operations for fabricating tools or assemblies using blueprints, sketches, or models
Interested individuals must meet the following minimum qualifications:
At least six (6) years of related experience in a Mechanical trade (Toolmaker) or a U.S. Department of Labor Certificate of Completion in a Mechanical trade (Toolmaker).
Must be able to satisfactorily complete the General Motors hiring process requirements which includes comprehensive assessments, drug testing, and a background check
At least 18 years of age
Eligible to work in the United States
Must be willing to work flexible shift hours and day, afternoon, or night shifts as well as overtime hours daily, weekend and holidays on those shifts with little notice
GM DOES NOT PROVIDE IMMIGRATION-RELATED SPONSORSHIP FOR THIS ROLE. DO NOT APPLY FOR THIS ROLE IF YOU NEED OR WILL NEED GM IMMIGRATION SPONSORSHIP TO WORK OR TO REMAIN EMPLOYED AT GM (e.g., H-1B, TN, STEM OPT, etc.).
If you are a current GM employee operating under a collective bargaining agreement, please contact your local HR/LR for employee placement opportunities.
This position may be filled with a Journeyperson or Journeyperson In Training, the compensation ranges for a JIT include ($37.78 -$44.08) or Journeyperson rate of $44.98. Certificates/credentials and scoring in interview will determine your status and pay.
Physical Requirements
Quick response to safety instructions, alarms, and signals are a must
Ability to work and stand for extended periods
Comfortably wear personal protective equipment
Navigate a busy environment
Bend, twist, kneel, crouch, and reach
May need to lift or carry materials weighing up to 50 lbs. depending on department
Occasional sitting during certain tasks
Drive mobile equipment when needed
General Motors UAW hourly employment offers a very competitive compensation and benefit package. An annual incentive payout is also available, as qualified.
Relocation and travel expenses will be the responsibility of the applicant.
Please note – per the labor agreement between GM and the UAW, GM may share information and documentation relating to the credentials of applicants for this position (e.g., resumes, journeyperson cards, interview notes, certificates, etc.) with UAW personnel who have a need to know as part of their role on the UAW skilled trades team.
#LI-MJ1
]]>GM’s simulation team is looking for an experienced Staff Software Engineer to be a key technical leader in our mission to deliver autonomous driving technologies safely. This is a high-impact role where your work directly enables the validation of our most complex AI-driven systems.
Responsibilities
Technical Vision : Contribute to the architectural roadmap for our Simulation Scenario Definition platform and/or its programmatic Python SDK.
Scalable Tooling : Lead the design and implementation of our next-generation graphical editing tools used by hundreds of engineers to precisely define complex traffic, environment, and sensor scenarios.
Performance & Infrastructure : Drive the evolution of our Python infrastructure, focusing on core algorithms for scenario serialization, validation, and integration with our large-scale cloud compute cluster.
Mentorship : Act as a hands-on mentor, setting the engineering excellence standard for API design, code quality, and testing practices across the team.
Requires Qualifications
7+ years of professional experience in software development, with a significant portion focused on large-scale platforms, tooling, or SDK development .
Proven ability to lead technical projects from concept to production.
Expert-level proficiency in Python , including deep knowledge of best practices, performance optimization, and building robust APIs/SDKs for external consumers.
Solid foundation in 3D graphics, computational geometry, and/or real-time simulation concepts .
A track record of mentoring and coaching mid-level and senior engineers, raising the technical bar, and driving code quality standards within a team.
Desired Skills (Bonus Points)
Experience with C++ for performance-critical components or integration with simulation engines.
Direct experience developing or extending a Domain-Specific Language (DSL) or high-level scripting language.
Background in game engines (e.g., Unity, Unreal) or other professional simulation software.
Experience in data visualization techniques for large, complex datasets.
Familiarity with the architecture of Autonomous Vehicle (AV) technology (e.g., perception, planning, controls) or other complex robotics/safety-critical systems.
Compensation:
Benefits:
Company Vehicle: Upon successful completion of a motor vehicle report review, you will be eligible to participate in a company vehicle evaluation program, through which you will be assigned a General Motors vehicle to drive and evaluate. Note: program participants are required to purchase/lease a qualifying GM vehicle every four years unless one of a limited number of exceptions applies.
]]>REQUIREMENTS: Bachelor's degree in Mechatronic Engineering, Electrical Engineering, or related field of study and Eight (8) years of experience as a Thermal Engineer, Vehicle Systems Engineer, Automotive Interior Engineer, Automotive Exterior Engineer, or related role. Eight (8) years of experience with the following: Engineering operations, processes, and best practices; Engineering theory and principles of design; and GVDP timing and key engineering milestones. Five (5) years of experience with the following: Specification and Release terms and systems. Two (2) years of experience with the following: TIPIE and BVAC systems and integration to other SMTs.
#LI-DNI
]]>The Design Sculptor - Digital is responsible for developing high-quality digital surfaces that bring advanced design concepts to life. In this role, you will execute digital models across multiple programs, ensuring alignment with aesthetic targets, engineering requirements, and global modeling standards. You'll collaborate closely with Design, Engineering, and cross-functional partners to solve aesthetic and technical challenges while supporting surface development through key vehicle development milestones. This role also contributes to the advancement of digital modeling practices, continuous improvement initiatives, and the integration of new technologies and workflows into studio operations.
What You'll Do
Develop high-quality aesthetic digital surfaces that meet Design intent, engineering requirements, and GVDP quality standards.
Execute digital models to program timelines while ensuring surface integrity, quality, and data readiness for release activities.
Collaborate with Design and Engineering stakeholders to resolve aesthetic and technical challenges and support effective 3D solutions.
Support surface releases that meet Design approval, production engineering requirements, and data release standards.
Participate in peer reviews and surface assessments, providing constructive feedback that improves model quality and execution.
Contribute to the development of digital sculpting workflows, modeling standards, and continuous improvement initiatives that enhance studio capability.
Reinforce studio data management standards and corporate systems, including Teamcenter, SharePoint, and other communication tools.
Your Skills & Abilities (Required Qualifications)
Bachelor's degree in Design, Industrial Design, Transportation Design, or a related field; equivalent industry experience considered.
5+ years of digital modeling or sculpting experience in a design studio environment.
Proficiency with digital sculpting tools such as Alias, VRED, HMD, or equivalent modeling software.
Demonstrated ability to translate 2D sketches and design intent into refined 3D digital surfaces.
Strong understanding of digital surface development with the ability to successfully integrate engineering and manufacturing requirements into approved design themes.
Strong communication and interpersonal skills with the ability to effectively collaborate across Design, Engineering, and studio teams.
Ability to meet GVDP requirements, adhere to global processes, and work effectively under compressed timelines.
What Will Give You a Competitive Edge (Preferred Qualifications)
Knowledge of design trends, new technologies, and advanced modeling methods.
Experience contributing to workflow improvements, process enhancements, or implementation of new digital modeling methods.
Knowledge of emerging digital design technologies, visualization workflows, and advanced modeling methods.
If you are a current employee of General Motors working in a per diem, hourly, or regular salaried role, you must apply through the internal careers page. Please navigate to https://workday.gm.com and search for GM Find Jobs.
The General Motors Manufacturing Group is seeking to identify highly motivated and qualified individuals for current and potential future opportunities as a Group Leader. In anticipation of these openings becoming available, we welcome you to apply so we can begin the pre-screening and interview process.
Onsite: This role is categorized as onsite. This means the successful candidate is expected to report to Saginaw, Michigan on a full-time basis.
The Role:
As a Group Leader in Production, Quality, or Global Supply Chain (GSC), you will be responsible for leading teams of employees or technical personnel to drive operational excellence across manufacturing processes. This includes managing daily operations, developing and improving business processes, and fostering a culture of teamwork and collaboration.
In this role, you may oversee production activities, quality assurance, inspection, problem-solving, and GM Built-in-Quality initiatives. You will be expected to apply independent judgment within the framework of Global Manufacturing Systems, with a strong focus on Safety, People, Quality, Responsiveness, Cost, and Environment (SPQRCE).
What You'll Do (Responsibilities):
Specific physical requirements of the position include the ability to:
Your Skills and Abilities (Required Qualifications):
What Can Give You a Competitive Edge (Preferred Qualifications):
REQUIREMENTS: Master’s degree in Mechanical Engineering, Physics, Mathematics, Automotive Engineering, or related field of study and One (1) year of experience as a Performance Engineer, Motorsports Engineer, or related role. One (1) year of experience with the following: Top-level motorsports series including IndyCar, F1, NASCAR, IMSA, WEC, or similar; Race car setup, event preparation, technical inspection, race procedures and race strategy; Race engineering; Simulation workflows in a professional motorsports organization including offline simulation and DIL; Using simulation tools to optimize vehicle performance; Programing in Python, MATLAB, and VBA; Analyzing on-track performance, defining performance metrics, and deriving actionable recommendations through application vehicle dynamics principles and statistical methods; Motorsports data
analysis software including Pi Toolbox, Atlas, Motec, Bosch WinDarab, and AIM Race Studio; Vehicle testing methods, sensor instrumentation, calibration and telemetry; and Data reduction for SPMM, 7-post, and on-track testing.
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]]> The Role:
General Motors is a global leader in advanced driver assistance. With Super Cruise hands-free technology in more than 500,000 Super Cruise-equipped vehicles on the road, and over 700 million hands‑free miles driven, GM is proving that automation can be trusted, intuitive, and helpful. GM has the global reach to bring cutting‑edge advances to everyday drivers at an unprecedented scale. Join us to help deliver the next generation of safe and delightful personal autonomous vehicle experiences.
About the Organization:
The Simulation team, part of the Autonomous Vehicle organization, is responsible for developing and advancing the simulation ecosystem that enables the growth and maturity of GM’s autonomous driving technology. We develop scalable tools, workflows, and analysis capabilities that enable data-driven decisions across AV development, testing, and validation. Partnering with Autonomy, Systems, Safety, and other cross-functional teams, we provide the simulation foundation needed to assess system behavior, improve development velocity, and support end-to-end AV quality. We own large-scale scenario libraries, test and evaluation pipelines, and core infrastructure that support virtual testing, data analysis, model development, and validation within a unified framework. By joining this team, you will help shape GM’s core simulation platforms, turn complex system behavior into actionable insights, and accelerate the development of safe, scalable autonomous vehicles.
What You’ll Do:
Architect large-scale test infrastructure and evaluation pipelines that enable and quantify the accuracy, reliability, and efficiency of simulation tests used for autonomous vehicle software validation.
Lead cross-functional initiatives with Autonomy, Systems Engineering, Simulation, and Data teams to tightly integrate team-owned test operations and evaluation products into regular development workflows and release decision processes.
Invent novel methodologies and deliver implementation to quantify and characterize the trustworthiness and effectiveness of simulation test and evaluation products at scale.
Drive technical roadmaps and strategic priorities while partnering cross-functionally to integrate new simulation technologies aligned with AV goals.
Own and refine key simulation evaluation metrics and KPIs used for readiness and safety decisions; synthesize and present results and tradeoffs to stakeholders; make insights readily available to partner teams through interactive dashboards.
Maintain a high technical standard through architectural design, design reviews, and code reviews, setting patterns and best practices for the broader team.
Your Skills and Abilities (Required Qualifications)
7+ years of applied experience developing complex evaluation, simulation, or test frameworks.
Proficient in developing Python for production systems, including unit testing, code review, performance tradeoffs, and reliability best practices.
Proven cross-team technical leadership, including defining strategies adopted by multiple teams and influencing system and architecture decisions.
Strong written and verbal communication, driving decisions, communicating risk, and giving constructive feedback to diverse stakeholders.
Bachelor’s or higher degree in Computer Science, Engineering, or equivalent experience.
What Will Give You a Competitive Edge (Preferred Qualifications)
Experience in autonomous driving or high-stakes field robotics; designing, running, and interpreting large-scale simulation and field experiments.
Experience working on test strategies and validation for safety-critical products.
A strong, data-driven curiosity to investigate anomalies and systematically root-cause discrepancies.
Familiarity with SQL, time-series data analysis, performance monitoring tools and dashboarding systems (e.g., Looker, Streamlit).
Hybrid/Remote:
This role can be based remotely but if you live within a 50-mile radius of Sunnyvale or Mountain View you are expected to report to that location three times per week.
*This job may be eligible for relocation benefits if you are interested in relocating to the bay area.
Compensation
The salary range for this role is $160,200 - $246,300. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.
Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.
Benefits
GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.
Company Vehicle
Upon successful completion of a motor vehicle report review, you will be eligible to participate in a company vehicle evaluation program, through which you will be assigned a General Motors vehicle to drive and evaluate. Note: program participants are required to purchase/lease a qualifying GM vehicle every four years unless one of a limited number of exceptions applies.
Temos como objetivo Zero acidente, Zero emissão e Zero congestionamento.
Faça parte da construção do futuro da mobilidade!
Aqui, você terá a oportunidade de atuar diretamente no desenvolvimento de novos produtos Chevrolet, contribuindo com soluções reais para projetos globais e vivendo o dia a dia da engenharia automotiva na prática.
Estamos formando um banco de talentos para profissionais interessados em atuar em projetos:
Engenharia de Manufatura:
contribuindo para o desenvolvimento, a validação, a industrialização, a melhoria contínua e a implementação de soluções para veículos, sistemas, processos e operações automotivas.
Engenharia do Produto: desenvolvimento de produto, engenharia de componentes e sistemas, integração veicular, validação, qualidade, industrialização, processos, manufatura, montagem, eletrônica embarcada, software, powertrain, carroceria, chassis e interiores.
Formação completa em Engenharia, preferencialmente em uma das seguintes áreas: Mecânica, Mecatrônica, Elétrica, Eletrônica, Produção, Controle e Automação, Computação, Materiais ou áreas correlatas.
Inglês avançado, com capacidade de comunicação e interação em ambientes profissionais globais.
Registro profissional ativo no CREA, quando aplicável à formação e às atividades exercidas.
Disponibilidade para atuar em São Caetano do Sul ou Indaiatuba, conforme a oportunidade.
Carteira Nacional de Habilitação (CNH).
Experiência profissional no mercado automotivo, incluindo montadoras, autopeças, fornecedores, consultorias ou empresas de tecnologia voltadas à mobilidade.
Conhecimento em desenvolvimento, validação, integração ou industrialização de produtos automotivos.
Vivência em engenharia de processos, manufatura, montagem, launch, comissionamento ou melhoria de linhas produtivas.
Conhecimento em metodologias de resolução de problemas e qualidade, como 8D, FMEA, APQP, PPAP, análise de causa-raiz e planos de controle.
Conhecimento de ferramentas de engenharia, análise de dados, CAD, simulação, testes, gerenciamento de requisitos ou planejamento de processos, conforme a área de atuação.
Experiência em ambientes multiculturais e em projetos com equipes internacionais.
Profissionais com pensamento analítico, organização e orientação para resultados.
Capacidade de trabalhar de forma colaborativa em equipes multidisciplinares e em ambientes dinâmicos.
Comunicação clara, senso de responsabilidade e postura voltada à solução de problemas.
Interesse por inovação, mobilidade, tecnologia, desenvolvimento de produtos e excelência operacional.
Compromisso com segurança, qualidade, ética, diversidade e inclusão.
O cadastro no banco de talentos não está necessariamente vinculado a uma posição específica. O perfil poderá ser considerado para futuras oportunidades em Engenharia do Produto ou Engenharia de Manufatura, de acordo com a formação, a experiência e os requisitos de cada vaga.
]]>Hybrid: This role is categorized as hybrid. This means the successful candidate is expected to report to Milford, Michigan three times per week, at minimum.
The Role:
General Motors is committed to achieving a future with ZERO Crashes, ZERO Emissions, and ZERO Congestion. As a Sub-System Lead Engineer focused on High Voltage Battery Management Systems and embedded vehicle mechatronics controls, you will drive innovation in the complex field of Battery State Estimation . In this role, you will optimize system performance to enable GM Electrification Programs to deliver safe, accurate, and efficient battery performance for our customers.
The Sub-System Lead Engineer (SSLE) is a highly skilled individual contributor recognized for their expertise across the entire vehicle development lifecycle. This role encompasses responsibilities such as requirements definition, design and implementation, testing, and problem resolution. Proficiency in agile methodologies, systems engineering, requirements management, and embedded controls development and calibration is highly desirable. A strong motivation to grow both technically and professionally—combined with a “Requirements First” mindset and a strong sense of ownership while contributing to some of General Motors’ most innovative features—is essential for success in this role.
What You'll Do:
Collaborate with Functional System Architect (FSA) to align on requirements structure and intent.
Define and develop software requirements based on strong embedded software expertise, ensuring hardware abstraction while maintaining alignment with the underlying hardware architecture.
Compile, sustain, and manage extensive documentation like context diagram, state diagram, system integration, Sub-System Technical Specification (SSTS), and Behavioral Test Specifications (BTS) for the defined subsystems.
Follow Behavioral Driven Development (BDD) principles focusing on requirements development with behavioral impacts to customer in mind.
Direct and evolve subsystem design with uniform solutions across diverse vehicle architectures (including SDV 2.0) to reduce complexity.
Lead Triad Meetings and discussions with key stakeholders to develop behavioral requirements and “Given / When / Then” scenarios.
Undertake a comprehensive subsystem analysis including Noise factors, Interface mapping, and actuator and sensor performance requirements.
Lead initiatives in crafting and finalizing Subsystem DFMEAs, ensuring coherent linkage to component and system DFMEAs, and manage FMEA processes across applicable subsystems.
Support the development of Model-Based Systems Engineering (MBSE) requirements and define API capabilities for the Battery State Estimation component.
Support Testable Functionality Roll-Out Plan (TFRP) definition.
Support development of Regulatory (global), Safety, and Calibration requirements as applicable.
Leverage simulation environments and plant models to support testing and requirements development.
Collaborate with Controls and Software Engineers to review controls design and/or software implementation, ensuring compliance with requirements.
Engage in root cause analysis for all applicable sub-system related issues, translating solutions into new or revised requirements for high voltage battery systems.
Participate as a key stakeholder in agile software development by actively contributing to regular Scrum ceremonies and driving software-related requirements.
Support peripheral meetings with Product Team Members, FSAs, other SSLEs, and Systems Engineers.
Support advanced technical initiatives that drive future features and vehicle enhancements, while contributing to additional responsibilities as needed.
Your Skills & Abilities (Required Qualifications):
Bachelor’s Degree in Electrical, Computer Science, Mechanical, or a related engineering field.
5+ years of relevant experience.
Strong expertise in embedded software development, complemented by a deep understanding of battery systems, enabling effective navigation of complex hardware-software interactions.
Strong analytical and problem-solving capabilities, including sound independent judgment and decision-making, complemented by excellent communication and interpersonal skills.
Demonstrated project management expertise, with the ability to mentor and develop others.
Effectively communicate issues, progress, and recommendations to leadership stakeholders.
Prioritize and manage work independently with minimal direction from management.
What Will Give You A Competitive Edge (Preferred Qualifications):
Masters or PhD in Engineering with an emphasis on Controls.
8+ years of relevant experience.
Proficient in electric and hybrid vehicle operating strategy execution, with strong expertise in high-voltage battery management systems.
Experience with calibration, software, and controls development.
Experience leveraging simulation environments and plant modeling for testing or requirements generation (MATLAB/Simulink, ETAS, etc.).
Experience with requirements management tools (Doors NG, etc.).
Experience with change management tools (Jira, etc.).
Experience with OBD regulatory requirements and safety-critical systems, including compliance with ISO 26262 standards.
Experience working within the Scaled Agile Framework (SAFe) development process.
Vacancy Status
There is 2 positions available. one post - for an existing vacancy within the organisation and is open to new applications and also this posting is not for an existing vacancy within the organisation and is open to new applications (New Head Count)
AI Disclosure:
As part of the application process, Artificial Intelligence will be used in the hiring process for this role
The Role
Are you passionate about pushing the boundaries of electric vehicle technology? Do you thrive in a collaborative environment where innovation is the norm? If so, we have an exciting opportunity for you to join our dynamic team as a Senior Controls Developer specializing in Vehicle Motion Control (VMC).
Our team is working on advanced control methods to design and develop Vehicle Motion Control (VMC) software. VMC is a supervisory controller for torque vectoring for multi-axle electric vehicles. The objective of VMC is to distribute torque to all available axles to meet the driver’s total torque request while achieving the optimal traction and lateral motion from the vehicle dynamics perspective. In addition to electric motors, vehicle motion control can also command other actuators such as active rear steering to optimize vehicle lateral motion. We are looking for a senior controls developer that can lead the design and development of various VMC features in collaboration with the Next Generation Controls team, SSLEs, FSAs and the calibration team.
As a Senior Controls Developer for Vehicle Motion Control, you will play a pivotal role in designing and implementing advanced control algorithms to optimize torque distribution across multiple axles of electric vehicles. Your expertise will be instrumental in ensuring optimal traction, stability, and vehicle dynamics, while also maximizing energy efficiency and driver satisfaction.
What You'll Do
Lead the design and development of various VMC in collaboration with cross-functional teams.
Develop and implement control and diagnostic algorithms using advanced tools such as MATLAB or C.
Support the development of requirements and ensure compliance with safety and government regulations.
Analyze vehicle dynamic conditions and provide feedback on feature/system design.
Define software unit tests, conduct hardware-in-the-loop and vehicle tests, and ensure thorough software testing.
Support resolution of vehicle, plant, or customer issues related to controls and calibration.
Mentor new team members to foster capability growth and knowledge sharing.
Your Skills & Abilities (Required Qualifications)
Bachelor of Science degree in one of the following disciplines: Engineering, Computer Science or related fields
Knowledge of and minimum 5 years of experience in controls system development. Including:
Control system integration and testing of hardware and software.
Controller hardware design and failure modes of electronic modules.
Vehicle electrical systems and serial data communications architectures.
System, software, and hardware requirements development and validation.
Demonstrated proficiency in project management skills
Experienced at planning, preparing for and leading meetings
Effective interpersonal skills that focus and influence others, including those which may have priority differences with yours.
Understanding of Embedded Controls Development & Delivery Process
Experience in working with embedded system software codes; reading and debugging source code in C/C++ languages
Experience with MATLAB/Simulink modeling
Demonstrated ability to manage multiple complex projects and assignments with autonomy and accountability for results
Strong partnership and teamwork skills, with demonstrated ability to learn from and share knowledge with co-workers in a fast-paced environment
Highly proficient at analyzing unusual and complex issues while driving for results in an ambiguous and fast-paced environment
Evidence of strong character with integrity, honesty, accountability and trust
Consistent demonstration of innovative thinking that is customer-centric
What Will Give You A Competitive Edge (Preferred Qualifications)
Master’s degree in a field of Engineering, Computer Science or related fields
7-10 years of experience in vehicle chassis controls system development.
Scaled Agile Framework (SAFe) training or certifications.
Experience in the GM component specification and release process.
Experience with customer interface technologies.
Knowledge of vehicle dynamics and electronic chassis systems.
Knowledge of OBD-II diagnostics.
Knowledge of automotive safety integrity levels (ASIL).
DFSS Black Belt certification.
Demonstrated ability to work in a Global environment.
Experience in plant modeling and analysis tools, MIL, SIL, HIL Testing
GM DOES NOT PROVIDE IMMIGRATION-RELATED SPONSORSHIP FOR THIS ROLE. DO NOT APPLY FOR THIS ROLE IF YOU WILL NEED GM IMMIGRATION SPONSORSHIP NOW OR IN THE FUTURE.
Compensation:
The salary range for this role is $90,900 to $136,400 or $115,000 to $164,000. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position
Benefits Overview
The goal of the General Motors of Canada total rewards program is to support the health and well-being of you and your family. Our comprehensive compensation plan currently includes the following benefits, in addition to many others:
Paid time off including vacation days, holidays, and supplemental benefits for pregnancy, parental and adoption leave;
Healthcare, dental, and vision benefits;
Life insurance plans to cover you and your family;
Company and matching contributions to a Defined Contribution Pension plan to help you save for retirement;
GM Vehicle Purchase Plan for you, your family and friends.
This role is categorized as on-site. The successful candidate is expected to report to the Advanced Technical Center full time.
The Role -
Develop and deliver completed digital models of proposed vehicles and/or vehicle components. This role requires a high level of creativity, technical proficiency, precision, and cross-functional coordination, combining strong modeling expertise with artistic judgment. Work independently with guidance available when needed, applying sound judgment to resolve modeling challenges. Perform assignments individually or as part of a team, making decisions in accordance with established procedures, technical requirements, and design specifications. Provide occasional guidance and instruction to others on digital modeling techniques and processes.
What You’ll Do
Your Skills & Abilities (Required Qualifications)
This role is categorized as hybrid. This means the successful candidate is expected to report to Austin, TX three times per week.
We are looking for a Senior Software Engineer to join the team that is revolutionizing the automotive retail experience by building high-performance, customer-centric digital storefronts for GM's global vehicle commerce platform.
You will design and develop scalable, accessible, and reusable UI components using TypeScript , React/Next.js , and SolidJS web components , powering seamless vehicle configuration, option/packages selection, and build-and-price experiences across devices and markets. You'll work within a micro frontend architecture using a monorepo, contribute to our internal design system, and drive innovation through behavior analytics, accessibility best practices, and performance optimization.
A core focus of this role is Automation, AI Enablement, and Modernization — you will champion AI-assisted development practices, automate repetitive workflows, and continuously modernize the frontend stack to keep pace with evolving web standards and tooling.
This role requires strong technical depth in modern frontend engineering, a solid understanding of distributed and event-driven systems, and the ability to deliver high-quality, maintainable solutions at global scale. The ideal candidate is a hands-on problem solver who thrives in a collaborative, cross-functional environment and is committed to continuous learning and technical excellence.
Experience building complex, rule-driven UIs where user selections dynamically enable, disable, or constrain other options — handling dependency graphs, mutual exclusions, and package logic gracefully
Familiarity with real-time pricing engines — rendering dynamic pricing breakdowns, incentive calculations, and MSRP/invoice comparisons as users modify vehicle configurations
Strong understanding of complex state management for multi-step configuration flows — managing deeply nested state trees, undo/redo, session persistence, and shareable configuration
Ability to build guided, multi-step workflows with smooth transitions, progress tracking, and mobile-optimized step navigation
Your Skills & Abilities (Required Qualifications)
Bachelor's or Master's degree in Computer Science, Engineering, or a related field
6+ years of experience in frontend software development, with a proven track record in designing scalable component architectures
Expert-level proficiency in TypeScript , React , and Next.js with deep understanding of modern frontend patterns (hooks, server components, SSR/SSG, ISR)
Hands-on experience with SolidJS or similar reactive frameworks, ideally building web components (Custom Elements) for modular, framework-agnostic delivery
Strong command of CSS/SASS/Tailwind CSS with experience implementing responsive, brand-themed designs across multiple markets
Strong understanding of software architecture , design patterns , and modern programming paradigms including micro frontends, component-driven development, and reactive programming
Demonstrated ability to lead technical initiatives, mentor peers, and drive strategic decisions aligned with business goals
Experience working in Agile/Scrum environments with cross-functional teams (product, design, backend, DevOps)
Preferred Qualifications:
Experience designing and building reusable UI/Web component libraries and contributing to or consuming an enterprise design system
Expertise in accessibility programming (WCAG 2.x compliance) to meet regulatory standards and enhance user inclusivity across global markets
Proficiency in frontend testing and quality tooling — Vitest, Playwright, BrowserStack, or equivalent — including unit, integration, and end-to-end test automation
Experience with micro frontend architecture and modular build systems (Turborepo, Vite, Rollup) supporting independent deployable packages within a monorepo
Ability to leverage AI-assisted development tools (GitHub Copilot, Cursor, or similar) throughout the SDLC to accelerate delivery
Additional Information:
This job may be eligible for relocation benefits.
GM does not provide immigration-related sponsorship for this role. Do not apply for this role if you will need GM immigration sponsorship now or in the future. This includes direct company sponsorship, entry of GM as the immigration employer of record on a government form, and any work authorization requiring a written submission or other immigration support from the company (e.g., H1-B, OPT, STEM OPT, CPT, TN, J-1, etc.)
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]]>Role can site remotely, Pacific or Mountain Time Zone preferred. If you are within 50 miles of Mountain View, CA, Warren, MI, or Austin, TX you will be required to work a Hybrid schedule - 3 days a week onsite.
The Role
GM’s People Analytics Center of Excellence is seeking a curious, data-driven People Analytics Analyst to join our team. In this role, you’ll be deployed across different parts of our business, partnering with People Analytics Consultants to deliver actionable insights that inform strategic talent decisions, improve organizational effectiveness, and enhance the employee experience. You’ll leverage your analytical skills and HR data knowledge to help us advance our analytics capabilities and enable data-driven decisions at scale.
What’s in it for you?
You’ll have the opportunity to work on a diverse range of projects, gaining broad exposure to different business areas and challenges. You’ll help shape our talent strategy, design insights that matter, and be part of a team that values innovation and curiosity. If you’re passionate about data storytelling and want to make an impact, this is the place for you.
Responsibilities
Analyze complex people data and deliver clear, actionable insights to support strategic talent decisions across multiple business units.
Work independently to determine the best analytical approach for each project, while collaborating closely with People Analytics Consultants.
Present findings and recommendations to business leaders in a compelling, accessible way.
Support projects related to organizational health, hiring and retention, workforce planning, employee experience, and more.
Contribute to the development and enhancement of People Analytics solutions by sharing feedback and ideas.
Manage multiple projects simultaneously, prioritizing work that drives the greatest impact for the business.
Requirements
3+ years of client-facing (internal or external) People Analytics, or Human Capital Consulting experience.
Bachelor’s, or Master's Degree with a quantitative focus (e.g., Mathematics, Statistics, IO Psychology) and/or a degree in HR preferred, or equivalent professional experience.
Strong analytical skills, with proficiency in inferential statistics (e.g., correlation, regression) and the ability to translate data into actionable insights.
Experience with analytics tools such as Excel, Power BI, SQL, R, or Python (advanced tools preferred, but not required).
Solid understanding of HR data and employee lifecycle processes (talent acquisition, development, workforce planning, employee listening, etc.).
Strong data analytics skills with the ability to leverage multiple internal and external data sources to enable data-driven insights and inform strategic talent decisions.
Excellent communication skills, with the ability to present complex findings to business leaders.
Proven ability to work independently in a fast‑paced, dynamic environment, managing multiple concurrent projects and adapting to shifting priorities while maintaining high standards of quality.
Compensation:
The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position, as well as geography of the selected candidate.
The salary range for this role is $98,300 - $150,200. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.
Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.
Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.
REQUIREMENTS: Bachelor’s degree in Electrical Engineering, Electronics Engineering, Computer Science, or related field of study and two (2) years of experience as a Senior Software Engineer, Software Engineer, or related occupation. Two (2) years of experience in the following: OTA update and vehicle connectivity technologies; and Troubleshooting skills and improvement methodologies. One (1) year of experience in the following: Issue identification, support and resolution; In vehicle test setup and configuration for OTA execution; Retrieval and analysis of CGM/TCP/CAN logs; Operational process requirement including Back Office processes for connected vehicle services; Make issues and OTA impacts to specific modules and features; and Problem-solving skills to triage and resolve ambiguity issues that frequently surface during Over-The-Air update.
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]]>The Role
General Motors has a need for qualified Mechanical Journeypersons (Pipefitter). You will work under minimal supervision with a high level of independent judgement and problem solving. You should be flexible enough to take on and tackle multiple job assignments in a shift.
Preferred Experience Includes:
Experience with planned maintenance systems and predictive technologies
Experience with industrial robotics, automation, and conveyance systems
Primary Responsibilities:
Follow established safety procedures according to OSHA standards and company procedures
Maintain, dismantle, repair, and replace mechanical and hydraulic components (e. g. bearings, seals, details, carriers, etc.) on industrial machinery such as shafting, motors, generators, air compressors, engines, pumps, cylinders, gears, couplings, linkages, ball screws, high speed CNC spindles, coolant systems and filters, and combustion equipment and valves
Layout, assemble, fabricate, maintain, and repair piping systems
Use various hand or power tools for measuring, cutting, threading, grooving, bending, soldering, assembling, joining, and installing pipes, valves, and fittings
Read and interpret blueprints for the mechanical operation and assembly of conveyor systems, material handling systems, robots, and other automation
Operate mobile equipment (e.g. forklifts, vertical lifts, cranes)
Determine loading requirements to rig equipment and material for lifting
Set up and operate conventional or computer numerically controlled (CNC) machine tools such as lathes, milling machines, and grinders to cut, bore, grind, or otherwise shape parts to prescribed dimensions and finishes
Fabricate punches, tools, steel rule tools and t-sets to exact specifications
Plan sequences of operations for fabricating tools or assemblies using blueprints, sketches, or models
Determine quality of finished products, ensuring defect-free parts, by verifying dimensions, alignment, and clearances for conformance to specifications using measuring instruments such as calipers, gauge blocks, micrometers, and dial indicators
Interested individuals must meet the following minimum qualifications:
Physical Requirements
General Motors UAW hourly employment offers a very competitive compensation and benefit package. An annual incentive payout is also available, as qualified.
Relocation and travel expenses will be the responsibility of the applicant.
Please note – per the labor agreement between GM and the UAW, GM may share information and documentation relating to the credentials of applicants for this position (e.g., resumes, journeyperson cards, interview notes, certificates, etc.) with UAW personnel who have a need to know as part of their role on the UAW skilled trades team.
What You'll Do
Business & Data Analysis
Perform data analysis across RTP processes to identify trends, bottlenecks, defects, and improvement opportunities
Translate business questions into data requirements, extract data from SAP S/4HANA, Ariba, and related systems, and synthesize insights into concise, actionable recommendations.
Build and maintain dashboards, reports, and analytical views (e.g., using SAP tools, Excel, Power BI, or similar) to support decision-making and post go-live performance tracking.
Support impact assessments, business cases, and benefit tracking for RTP transformation initiatives
Transformation & Hypercare Support
Utilize your process improvement, system implementation, and project management skills to innovate, deliver solutions, and contribute to global transformation projects that impact the results of the company
Develop a deep understanding of the business by facilitating workshops to capture business and IT partner objectives, pain-points, and opportunities, and translating them into world class processes and technology enablers
Contribute to strategic decision making and creative problem solving in order to optimize the transition between current and future system states
Ability to be a change agent, using influence, education and persuasion to build relationships and gain support for difficult changes
Conduct iterative agile software configuration sessions to ensure that all key internal consumer organization business objectives are met
Act as a primary analytical resource during deployment, cutover, and Hypercare phases
Training & Change Management
Partner with business stakeholders and process owners to understand impacts of system and process changes on end users across RTP.
Contribute to training strategy and design:
Help define learning objectives based on impact assessments and user feedback.
Develop or refine training materials, job aids, simulations, and quick reference guides for SAP S/4HANA and Ariba.
Deliver or support delivery of training sessions (virtual), including demos, hands-on labs, and Hypercare support.
Provide structured feedback from training and Hypercare back into change plans, communication content, and process documentation.
Monitor incident and defect logs (e.g., in JIRA and related tools), identify patterns, prioritize issues, and drive structured root-cause analysis with IT and process owners.
Translate issues and trends into actionable recommendations for system fixes, process changes, training updates, or controls.
Support stabilization of new processes and solutions by tracking KPIs (e.g., invoice processing time, error rates, supplier enablement metrics) and flagging risk areas.
Process & Solution Expertise
Serve as an SME-in-training on end-to-end Request to Pay processes, with particular depth in:
Request to Source / Procurement – requisitions, sourcing events, contracts, POs, supplier enablement.
Accounts Payable – invoice capture, three-way match, exceptions handling, payment run, vendor master.
Materials Management – material master, goods receipt, inventory movements, consumption, and related controls.
Understand how these processes are designed and executed in SAP S/4HANA and Ariba , including key master data, documents, and integration points.
Support fit-gap analysis and solution design workshops by documenting requirements, user stories, and acceptance criteria.
Technology & Tools (SAP, Ariba, JIRA, AI, etc.)
Utilize SAP S/4HANA and Ariba to analyze transactions, troubleshoot issues, and validate fixes throughout the transformation lifecycle.
Use JIRA (or similar tools) to log, manage, and report on defects, enhancements, and user stories; ensure traceability from issue to resolution.
Apply AI and automation tools (e.g., for summarizing incident trends, generating draft communications, analyzing large datasets, or automating repetitive tasks) to improve team productivity and reduce manual work.
Contribute to continuous improvement of the team’s toolset and ways of working, including templates, dashboards, and reusable analytical frameworks.
Your Skills & Abilities (Required Qualifications)
A Bachelor’s or Master’s degree in Business , Finance, Accounting, Supply Chain, Information Systems , or a related field; or equivalent combination of education and experience.
5+ years of relevant work experience in business and process transformation, consulting, and project management
Significant Hands-on experience with SAP including understanding of configuration in any of the SAP modules SD, Material Management (MM), FI-CO (including Fixed Assets and Product Cost) and PS, is Highly Preferred
Working knowledge of SAP S/4HANA processes and data structures within Request to Pay operations. Direct experience supporting SAP S/4HANA deployments, upgrades, or transformations in Finance, Procurement, or Supply Chain.
Experience with Hypercare or post go-live support for large system or process changes (e.g., ERP, Ariba, shared services transitions).
Demonstrated analytical thinking and data analysis skills, including:
Ability to interpret large data sets, identify patterns, and derive insights.
Proficiency with Excel and/or reporting/visualization tools (e.g., Power BI, KNIME, Python, SAP Analytics).
Hands-on experience with issue/defect management tools , such as JIRA , including logging, tracking, and reporting on issues or user stories.
Strong communication skills, with the ability to translate technical/process concepts into clear messages for non-technical audiences.
Proven ability to work collaboratively in cross-functional teams and manage multiple tasks in a fast-paced transformation environment.
Exposure to or hands-on involvement in training design/delivery, change management , or end-user enablement initiatives. Experience in developing training manuals and conducting training is a plus
Familiarity with AI tools and automation concepts (e.g., using AI assistants to draft documentation, analyze large datasets, assist in ticket triage, or automate data preparation).
Understanding of core Finance and Procurement concepts such as POs, GR/IR, invoice matching, payment terms, vendor master data, and internal controls.
Professional certifications or training in relevant areas (e.g., SAP, Ariba, Operational Excellence Lean/Six Sigma, Prosci or other change management methodologies) are a plus.
Every day, our products move millions of people as we aim to make driving safer, smarter, and more connected, shaping the future of transportation on a global scale.
The Role
This Engineer will be responsible for developing engine performance simulation and valvetrain analysis models using 1D virtual tools. Functions include model building, correlating and evaluation. You'll be managing multiple projects and providing technical insight into problem solving, leveraging the model results for hardware and calibration development.
This position requires a fundamental understanding of combustion engines and the modeling approach via GT-SUITE 1D CFD Software. These engine models are the core estimation for performance and fuel efficiency for early vehicle architecture development. This role also leverages the large design of experiments and optimization using 1D modeling to solve complex and multivariable problems.
What You'll Do
Develop 1D engine simulation models in GT-POWER of a wide variety of engine architectures with complete intake and exhaust systems for both Gasoline & Diesel engines.
Simulate full and part load models focusing on torque, power and fuel consumption
Process lab and model generated engine operating data (fuel mapping) into standardized format
Execute transient engine simulations to support engine control algorithm evaluation and/or development (HIL/SIL), and vehicle performance assessment
Create Medium or Fast Running Models (MRM / FRM) to support controls development activities
Develop new and innovative analytical techniques to model engine technologies (boost devices, exhaust gas recirculation, variable valve lift, emission control systems, aftertreatment etc.) with emphasis on minimizing test data requirements
Develop optimized valve lift profiles using parametric valvetrain design software
Provide component-level and/or system-level design recommendations to Design Responsible Engineers based on interpretation of analysis results
Participate in product design and development teams and regularly present analysis results to engineering peers and management
Appropriately distill 3D math data into 1D model geometry using the correct discretization techniques
Cooperatively work with test engineers to develop and/or enhance laboratory procedures to validate system analysis results
Contribute to the development of post-processing and automation tools using MATLAB and/or Python
Generate virtual data for or directly create calibrations for embedded engine controller
Your Skills & Abilities (Required Qualifications)
Bachelor of Science in Engineering, Computer Science, or Physics
3 years of propulsion simulation and/or virtual engineering experience
5 years of engineering experience
Fundamental understanding of combustion engines and the modeling approach via GT-SUITE 1D CFD Software
Experience with engine dynamometer testing and data analysis
Excellent oral and written communication skills
High comfort with ambiguity, developing new capabilities, and creating new standard work
High level of interpersonal skills to work effectively with others
What Will Give You A Competitive Edge (Preferred Qualifications)
Master of Science in Engineering, Computer Science, or Physics
5+ years experience with GT-POWER, WAVE, or similar software
Engine calibration, controls and model-based calibration techniques.
Engine testing and development experience
High level of analytical ability where problems are unusual and difficult
Proficient with MATLAB, Python, AVL software.
Programming experience and/or a strong desire to learn
Thorough understanding and skills to work at high level in all phases of the vehicle development process
The Manufacturing Engineer leads engineering activities from concept initiation through implementation and control. This role develops and applies advanced engineering judgment, technical expertise, and structured problem-solving to improve safety, quality, delivery, cost, productivity, and operational performance.
The engineer works with significant autonomy and accountability, manages multiple complex assignments, and collaborates with cross-functional teams, suppliers, and technical experts. The role requires creativity, initiative, independent judgment, and the ability to operate effectively in ambiguous and changing environments.
What You'll Do
· Identify and implement solutions for repairing mechanical equipment, minimizing downtime and maximizing output.
· Provide technical support and expertise for the setup, operation, and maintenance of manufacturing equipment.
· Analyze and implement product or machinery designs for the best method for manufacturing processes.
· Analyze and interpret blueprints and machine schematics to troubleshoot and resolve production issues.
· Propose and evaluate the processes for equipment in assigned area.
· Develop and implement manufacturing processes, procedures, and documentation to improve efficiency, quality, and cost-effectiveness.
· Direct the design, development, and/or improvement of manufacturing processes for assigned area.
· Collaborate with design and production teams to ensure manufacturability of new products and components.
· Provide direction to engineering support groups and vendors.
· Evaluate or monitor expenditures on processes and/or equipment.
Your Skills & Abilities (Required Qualifications)
· Bachelor’s degree in mechanical, manufacturing, electrical, or related engineering discipline.
· Demonstrated ability to manage multiple difficult projects with a high level of autonomy and accountability.
· Strong analytical, problem-solving, communication, and project-management skills.
· Ability to exercise independent judgment, take initiative, and deal effectively with ambiguity.
· Proficiency with relevant engineering, manufacturing, data-analysis, and project-management tools.
· Proficient with computer modeling software such as Solidworks, Creo, NX or relevant systems.
· Ability to Addresses and evaluate a diverse range of issues using innovative methods and proposing alternative approaches.
· Willingness to work in plant, including occasional off-shift or travel requirements.
What Can Give you a Competitive Advantage (Preferred Qualifications)
· Experience in automotive or high-volume manufacturing.
· Experience with lean manufacturing, PFMEA, control plans, standardized work, and process capability.
· Experience mentoring others and influencing stakeholders without direct authority.
· Experience with automation, robotics, manufacturing controls.
· Experience with various machining and assembly processes.
· Demonstrated ability to troubleshoot and repair mechanical equipment.
· Led capital equipment build projects with OEM partners while meeting schedule and budget targets.
· Experience in interpreting and utilizing blueprints and machine schematics.
Success Measures
· Success in this role is demonstrated through safe and successful launches, stable and capable processes, improved operational performance, timely project execution, effective risk reduction, and measurable improvements in quality, cost, delivery, capacity, and productivity.
Compensation:
The expected base compensation for this role is: $80,700.00 - $109,400.00. Actual base compensation within the identified range will vary based on factors relevant to the position.
Bonus Potential:
An incentive pay program offers payouts based on company performance, job level, and individual performance.
]]>En GM, buscamos estudiantes apasionados por la innovación y el aprendizaje continuo. Como pasante, tendrás la oportunidad de:
🚀 Colaborar en proyectos desafiantes que impulsan el futuro de la movilidad.
🤝 Interactuar con líderes de la industria y desarrollar tu red de contactos.
🌍 Participar en eventos de networking y actividades de voluntariado.
📚 Potenciar tu crecimiento profesional en un entorno dinámico y multicultural.
Si estás listo para acelerar tu carrera, ¡postulate y sé parte de nuestro equipo!
Tendrás la posibilidad de realizar tu pasantía en alguna de las siguientes áreas:
🔧 Manufactura y Producción: Ingeniería general.
💰 Finanzas: Ingeniería Industrial, Contador, Administración de empresas y carreras afines
🤝 Recursos Humanos: Ingeniería Industrial, Administración y carreras afines
Requisitos:
✅ Disponibilidad para iniciar el contrato de pasantía Diciembre (4 horas diarias de lunes a viernes/20 horas semanales).
🎓 Estudiantes universitarios avanzados (+60% de la carrera) de disciplinas académicas afines al área de interés. Se deberá contar con aval universitario.
🎯 Fecha de graduación deseable: entre junio 2028 y Diciembre 2029. (El contrato de pasantía tendrá una duración de 12 a 18 meses).
💻 MS Office: Nivel Intermedio.
🌍 Inglés: Nivel Intermedio conversacional.
🏢 Modalidad de trabajo: presencial o híbrida, según el área de asignación.
📍 Ubicación de trabajo para pasantias de Manufactura y Producción: Complejo Automotor Chevrolet ubicado en Alvear, Santa Fé, Argentina.
Habilidades deseables:
📊 Se valorarán conocimientos en: Power BI, manejo de SAP y bases de datos.
IMPORTANT: To view the full job description in spanish, use your Workday system in English.
#LI-PSM
Hybrid:
This role is categorized as hybrid. The selected candidate is expected to report to Milford, MI at least three days per week (Tuesday–Thursday).
Our Mission:
General Motors is undergoing a major transformation, both in how we operate and in how we will influence the future of transportation. As we move towards our ZERO ZERO ZERO vision for the future, we are on the forefront of this work and seeking out driven, innovative individuals who will join our team to help achieve our mission.
The Role:
We are currently looking for experienced and motivated candidates for the role of Virtualization and Software-in-the-Loop (SIL) Integration Engineer to support our Test Environment Agile Release Train (SIL ART).
This role is part of a group responsible for creating virtual in-the-loop environments to enable development, verification and validation of embedded controllers and calibrations for the following domains:
Propulsion Thermal Management System
Battery Management System
Chassis and Brake Controls
Body Electronics and Controls including vehicle access, occupant comfort, occupant protection, lighting, visibility and vehicle State
The Software-in-the-Loop (SIL) Simulation Integration Engineers (SIE) are ultimately responsible to deliver a quality simulation environment on time to meet the customers’ requirements. This position requires an individual with a passion for modeling, an adept knowledge of system simulation and integration, and demonstrated capability for managing a wide variety of technical and customer needs.
What You'll Do:
Lead the development and integration of cosimulation components to satisfy the end user test requirements.
Create virtual controller models to be used across different simulations.
Create, maintain and test virtual controller components such as HWIO, RTOS, communication models, etc.
Obtain, develop & parameterize sub-system models, such as sensors and actuators, and ECU behavioral models.
Work with development engineers to understand new feature requirements, address issues, and ensure proper implementation.
Work with System Engineers to define SIMBOMs (the required cosimulation assets) based on the test requirements.
Integrate Plant models and other ECU models into a dynamic virtual simulation.
Create and maintain detailed documents for each release.
Provide support for released simulations and assist with user testing and troubleshooting.
Provide technical support and guidance to other team members.
Ensure the cosimulation environments are delivered with quality.
Support cloud deployments.
Your Skills & Abilities (Required Qualifications):
Bachelor of Science degree in one of the following disciplines: Electrical Engineering, Computer Engineering, Computer Science or related field.
2+ years of software engineering experience.
Proficient in Embedded C, C++ and Python.
Competent with embedded controls software and the automated software build processes including gcc compiler, gdb debugger, Eclipse, Jenkins and ETAS INCA tools.
Adept experience with MATLAB and Simulink in context of plant model development and integration and basic usage of additional simulation tools (e.g. GT-Power, AMESIM, CarSim).
Proficient in automotive communication technologies such as CAN, LIN, SPI and automotive ethernet.
Familiar with FMU/FMI standards and SSP.
Familiar with AUTOSAR Layered Software Architecture.
What Can Give You A Competitive Edge ( Preferred Qualifications):
Master’s degree in a field of Engineering, Computer Science or related fields.
5+ years of embedded software development experience.
Experience in virtualization or software integration.
Experience in designing and developing vehicle body controls, propulsion thermal, battery management, chassis and brake controls software.
Benefits:
GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.
]]>As a Senior Design Producer on the Web & App team, you will combine expert project management with a passion for user experience to lead the development and execution of key mobile and web design programs. You will plan projects, define milestones, assess risks, facilitate design ceremonies, translate complex product requirements into actionable design tasks, and ensure deadlines are met. As a systems-minded leader, you will coordinate work across design disciplines, and manage the complexity of software implementation in a cross-channel automotive environment.
Lead end-to-end delivery of design initiatives from concept and research through handoff, validation, launch and post-launch iteration while working closely with design leads, product, marketing and engineering partners.
Translate product requirements into actionable design plans by defining milestones, assessing project scope and design capacity and aligning workload commitments and timing
Facilitate alignment across design, product, engineering, program, and brand teams, ensuring shared understanding of priorities, dependencies, and decision points.
Lead weekly design ceremonies – standups, sprint planning, work shares, cross-functional syncs and leadership reviews.
Build communication artifacts—roadmaps, briefs, risks, and status updates—that improve visibility for cross-functional partners and senior leadership.
Identify and resolve risks, dependencies, and blockers by clarifying options, framing tradeoffs, organizing follow-ups, setting realistic expectations, and escalating strategically when needed.
Champion adoption of standardized tools, methodologies, and best practices that support multi-brand, multi-region design operations.
7+ years of experience in digital product design operations, production, program or project management, or a related role supporting software or experience design teams.
Proven experience leading cross‑functional initiatives (for example, design, product management, engineering, and brand) delivering digital experiences across web, mobile, or in‑vehicle interfaces.
Strong familiarity with modern design and work‑tracking tools (i.e. Figma, Notion, Jira, Confluence), and the ability to help teams use them consistently.
Proficiency with Jira, Confluence, Figma, Notion, the Google Suite, and AI tools.
Excellent written and verbal communication skills, with the ability to translate technical, design, and operational details into clear, actionable language for diverse stakeholders.
Understanding of UX design principles, design systems, user-centered development, and product development lifecycles across software and hardware.
Proven ability to navigate executive-level review forums by setting clear context, capturing actionable feedback, and driving effective follow-through.
Passion for working on ambiguous problems and developing new frameworks for collaboration and execution.
Ability to operate with a high degree of ownership and autonomy in a hybrid environment and reliably report to a designated GM location on the schedule defined by the business.
Demonstrated ability to influence senior leaders, build consensus, and foster collaboration across disciplines and organizations without direct authority.
Ability to navigate ambiguity, break down complex, cross‑portfolio problems into clear steps and sequences, and take intelligent risks while maintaining a focus on quality, customer experience, and business outcomes.
Experience delivering customer-facing digital products across mobile applications and web properties, including account dashboards, identity and authentication flows, digital onboarding and activation, loyalty and rewards, and ownership or connected-services experiences.
Direct experience delivering customer-facing software or digital products in the automotive, connected-vehicle, or mobility industry is strongly preferred.
Design and develop backend services, APIs, integrations, and event-driven solutions that support digital commerce and order-management workflows.
Build reliable and maintainable software using appropriate design patterns, testing practices, security controls, and coding standards.
Integrate services with platforms such as Shopify, IBM Order Management System, subscription and billing systems, fulfillment services, and other internal or external partners.
Participate in technical design reviews and make practical recommendations related to scalability, performance, security, resiliency, and maintainability.
Troubleshoot application, integration, and production issues; identify root causes; and implement sustainable corrective actions.
Take strong ownership of DevOps practices for assigned services, including CI/CD pipelines, automated testing, deployment automation, release readiness, rollback strategies, and environment configuration.
Build and maintain production operational capabilities, including logs, metrics, traces, dashboards, alerts, health checks, runbooks, and service-level indicators.
Deploy, configure, and troubleshoot containerized workloads using Azure and Kubernetes.
Participate in on-call or production-support activities as required by the team and continuously improve incident response, reliability, and recovery practices.
Collaborate with DevOps and SRE partners on cloud architecture, infrastructure automation, monitoring, security, scalability, and operational improvements.
Apply strong AI skills and AI-assisted development practices to improve productivity, code quality, test coverage, documentation, automation, and troubleshooting. Evaluate and responsibly use tools such as GitHub Copilot and AI-driven engineering or observability capabilities.
Provide technical guidance and mentorship to less-experienced engineers through design discussions, code reviews, pairing, and knowledge sharing.
Participate in hiring activities, including resume reviews, technical questionnaires, and interviews.
Communicate technical status, risks, dependencies, and decisions clearly to project and business stakeholders.
Contribute to engineering standards, reusable components, documentation, and continuous improvement within the Digital eCommerce organization.
Perform other related duties as assigned.
Your Skills & Abilities (Required Qualifications)
Bachelor’s degree in Computer Science, Software Engineering, or a related field, or equivalent work experience.
Five or more years of professional software engineering experience, or equivalent demonstrated experience.
Strong hands-on experience developing backend applications, microservices, APIs, and integrations.
Proficiency in at least one backend programming language such as Java, Python, Node.js, or a comparable language.
Strong experience designing and consuming REST and GraphQL APIs, including API security, versioning, documentation, and performance considerations.
Experience with data modeling, asynchronous processing, event-driven architectures, and service-to-service integrations.
Experience with relational or NoSQL databases and a practical understanding of data persistence, performance, consistency, and resiliency.
Experience writing automated unit, integration, contract, and end-to-end tests.
Strong experience with Git-based development, pull requests, code reviews, CI/CD pipelines, deployment automation, and release management.
Strong hands-on experience with Microsoft Azure services and cloud-native application development.
Strong experience with Docker and Kubernetes, including deploying, configuring, scaling, monitoring, and troubleshooting workloads.
Experience with infrastructure as code, configuration management, environment promotion, secrets management, and automated operational processes.
Experience with observability tools such as Datadog or comparable platforms, including logs, metrics, traces, dashboards, alerts, and incident troubleshooting.
Strong experience using AI coding assistants, AI-based automation, or AI-enabled developer productivity tools, with an understanding of responsible and secure AI adoption.
Ability to read logs, interpret metrics, investigate incidents, and troubleshoot issues in development and production environments.
Strong communication, collaboration, problem-solving, and ownership skills.
What Will Give You A Competitive Edge (Preferred Qualifications)
Experience in eCommerce, digital commerce, order management, fulfillment, subscriptions, billing, customer entitlement, or related domains.
Experience integrating Shopify or another commercial eCommerce platform with enterprise backend systems.
Experience with Kafka, Azure Event Hubs, or comparable event-streaming technologies.
Experience with Drools or another business rules engine.
Experience with Spring Boot, Node.js, Python, or similar backend frameworks.
Experience with Azure cloud services and Azure-native application patterns.
Experience with Docker, Kubernetes, Terraform, or similar cloud and infrastructure tools.
Experience configuring dashboards, alerts, logs, traces, or monitors using Datadog or a comparable observability platform.
Experience contributing to automated deployment, rollback, infrastructure automation, or environment-management processes.
Familiarity with secure software development, secrets management, API security, and common application vulnerabilities.
Experience with subscription commerce, vehicle services, digital activation, or customer-facing transactional systems.
Experience using AI coding assistants, AI-based automation, or AI-enabled developer productivity tools in a responsible and secure manner.
GM does not provide immigration-related sponsorship for this role. Do not apply for this role if you will need GM immigration sponsorship now or in the future. This includes direct company sponsorship, entry of GM as the immigration employer of record on a government form, and any work authorization requiring a written submission or other immigration support from the company (e.g., H1-B, OPT, STEM OPT, CPT, TN, J-1, etc.)
This position may be eligible for relocation benefits.
Hybrid: This role is categorized as hybrid. This means the successful candidate is expected to report to Austin, TX three times per week.
The Role:
We are looking for a Senior Software Engineer to join the team that is revolutionizing the automotive retail experience by building high-performance, customer-centric digital storefronts for GM's global vehicle commerce platform. This role requires strong technical skills in software engineering, a solid understanding of distributed systems, and the ability to deliver high-quality, maintainable solutions.
You will work closely with cross-functional teams to implement features, improve system architecture, and ensure code quality through best practices. The ideal candidate is a hands-on problem solver who thrives in a collaborative environment and is committed to continuous learning and technical excellence.
What You'll Do:
Primary Skills
Your Skills & Abilities (Required Qualifications)
This job may be eligible for relocation benefits.
GM does not provide immigration-related sponsorship for this role. Do not apply for this role if you will need GM immigration sponsorship now or in the future. This includes direct company sponsorship, entry of GM as the immigration employer of record on a government form, and any work authorization requiring a written submission or other immigration support from the company (e.g., H1-B, OPT, STEM OPT, CPT, TN, J-1, etc.)
]]>Develop advanced UX concepts and visual directions that shape future in‑vehicle experiences, supported by storyboards, narrative flows, and clear visual storytelling.
Create scalable design systems, visual languages, and interface frameworks to ensure cohesive, repeatable solutions across platforms and features.
Produce high‑quality concept visuals—including 2D illustrations, UI explorations, motion studies, and simple 3D models or animations that bring future‑state interactions to life.
Build low‑ to high‑fidelity prototypes that support decision‑making, validate interaction patterns, and demonstrate feature flows or motion behaviors.
Iterate rapidly on user flows, interaction models, and motion behaviors to refine experience direction based on feedback and user needs.
Deliver polished design assets such as layouts, sketches, motion graphics, and user journeys that are ready for collaboration and handoff.
Collaborate and present effectively with cross‑functional teams (design, engineering, product, suppliers) while bringing forward fresh inspiration from UX, mobility, gaming, and consumer tech trends to influence major product decisions.
Your Skills & Abilities (Required Qualifications):
5+ years of professional experience showcasing interdisciplinary design skills across UX Design, Product Design, Human Interface Design, and related fields.
A thoughtfully curated design portfolio (online or shared privately) which demonstrates:
End‑to‑end UX process and systems thinking
Prototyping from low → high fidelity
Proven abilities in visual storytelling and narrative design
Complex interaction design
Expert proficiency in Figma and advanced prototyping tools (e.g. ProtoPie)
What Will Give You a Competitive Edge (Preferred Qualifications):
Strong proficiency in Sketch, XD, Adobe Photoshop, Adobe Illustrator
Working knowledge of 3D modeling workflows
Previous experience with video editing tools (Adobe Premiere Pro or equivalent)
Understanding of engineering and software constraints
Onsite: This role is categorized as onsite. This means the successful candidate is expected to report to Rochester, New York on a full-time basis.
This job may be eligible for relocation benefits.
The Role : Manufacturing Quality Engineer, able to work autonomously with occasional guidance from supervision. Skilled in Product and Process Problem Solving and active in continuous improvement related to Safety, Quality, and Innovation. Work is performed in a supporting and encouraging environment located in a manufacturing facility where creativity and initiative are encouraged. We are seeking a bright, hardworking candidate interested in working in a fast paced, high-tech manufacturing environment. The successful candidate will possess strong analytical abilities and interpersonal skills allowing them to achieve in a strong, supportive, team environment. As a member of the Quality Engineering Team, you will directly support a highly automated, three-shift manufacturing operation. Central focus regarding Quality for Global Propulsion System (GPS) across the entire development process, through manufacturing and into the field. This role works closely with Manufacturing, Process, Product as well as Mechanical and Controls Engineering to assure manufacture of quality products.
What You'll Do:
Develop engineering solutions that result in Continuous Improvement in the areas of Safety, Uptime, and Quality
Use data to identify process conditions and develop solutions
Early issue identification, problem-solving, and corrective action tracking and resolution
Summarize and evaluate reject and defect data to drive continuous improvement
Provide statistical analysis of manufacturing process data
Critical role in change management to assure no effect on product quality
Verify compliance to quality requirements and procedures
Communication and coordinate information to and from internal and external customers
Collaborate cross functionally to develop creative solutions
Remain flexible and at times work extended and non-core hours to ensure issues are worked to resolution
Support corporate and local Global Manufacturing Systems (GMS) goals related to Safety, People, Quality, Responsiveness, Cost, and Environment
Your Skills & Abilities (Required Qualifications):
Bachelor’s degree in Mechanical Engineering or Mechanical Engineering Technology, Industrial Engineering, Mathematics, Statistics, or related field(s).
Ability to understand and assess complex Engineering issues
Proficient in Microsoft Excel, PowerPoint, MS Office Suite
What Will Give You a Competitive Edge (Preferred Qualifications):
Quality knowledge
Ability to evaluate conformance to documented product and process specifications
Familiar with PPAP (Production Part Approval Process)
Statistical Process Control (SPC)
Containment and understanding of customer satisfaction metrics
Problem Solving Certification/Lean Six Sigma Belt Certification
Understanding of ISO/IATF quality requirements
SQL/database knowledge
2+ years experience working in manufacturing environment(s)
Ability to multi-task, support several projects and assign priority appropriately
Strong organizational skills – managing information from multiple locations and sources
Ability to work both independently and within teams
Familiar with Minitab or other statistical software (QDAS highly preferred!)
Knowledge of common problem-solving methodologies (Six-Sigma, RedX, Shainin, 5-Why, Fishbone, PDCA)
Entry-level understanding and proficiency in 3D CAD environments (Solidworks)
Compensation:
The expected base compensation for this role is: $80,700.00 - $109,400.00. Actual base compensation within the identified range will vary based on factors relevant to the position.
Bonus Potential:
An incentive pay program offers payouts based on company performance, job level, and individual performance.
Benefits:
GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.
]]>The Role -
The Senior Interior Designer is responsible for defining and driving the creative direction of vehicle interiors for GM brands serving China and global markets. This role leads interior theme development from early advanced concepts through production execution, ensuring that designs deliver compelling customer experiences , express brand DNA , and meet feasibility, quality, and cost targets.
You will collaborate closely with UX/HMI, CMF, Studio Engineering, VSE, Product Planning, and Customer Research .
What You’ll Do -
Lead interior design themes for assigned programs (advanced and production) from early sketch to final CAS/digital model and design freeze.
Translate brand strategy, China customer insights, and technology roadmaps into clear, differentiated interior concepts.
Generate and review high-quality sketches, storyboards, digital renderings, and VR/3D presentations that communicate spatial concepts, UX flows, and CMF direction.
Partner with UX/HMI and CMF teams to create holistic interior experiences that integrate displays, lighting, controls, materials, and sound.
Work closely with Studio Engineering and Packaging to ensure concepts are technically feasible, manufacturable, and aligned with safety, ergonomic, and regulatory requirements.
Drive interior design deliverables and gateways in line with the Design GVDP process , ensuring timing, quality, and alignment with global and regional leadership expectations.
Prepare and present design proposals in studio reviews, Design Leadership Team (DLT) reviews, GDRs, and executive design forums , incorporating feedback into refined solutions.
Support customer clinics, research activities, and VR evaluations , defining stimuli and synthesizing learnings back into design directions.
Provide creative leadership, mentoring, and day-to-day guidance for junior and senior interior designers within the team.
Partner with Global Design studios to align China proposals with global brand language while championing China-specific needs and innovation .
Ensure all design work adheres to GM standards for craftsmanship, surface quality, proportion, and user-centered design .
Contribute to advanced and exploratory interior projects , including new interaction models, future cockpit concepts, and AI- or data-enabled experiences.
Maintain a strong awareness of competitive benchmarks, design trends, and emerging technologies relevant to automotive interiors and in-cabin experience.
Your Skills & Abilities (Required Qualifications)
Education (minimum): BA or MA degree in Transportation, Automotive, or Industrial design, or equivalent experience
3+ years of professional work experience in automotive design, preferably with international experience at prominent European OEM studios or design houses
Comprehensive Interior design ability that begins with creating innovative and relevant design concepts, fresh new design themes, cohesive and attractive design proposals, and continues all the way to the completion of a 3D vision (i.e. 3D digital and full-size clay models)
Superb professional sketching and rendering skills, 2D visual communication is very important
Capable of conceptual thinking and cross functional collaborative work
Desire, ability and dedication of total involvement in a holistic design process
Good understanding of user needs in different scenarios; able to improve the user experience via design
Responsible for the execution/develop of manufacturing controls. Work will be performed in a centralized manufacturing engineering activity or assembly/plant activity where a considerable amount of creativity and initiative is exercised as well as a high level of independent judgment.
Responsibilities include:
• New program implementation/execution (SOR prep, forecasting, controls/robotics design, equipment build/run-off and buyoff)
• Design, construction, integration, plant installation, successful launch and continuous improvement
• Staying abreast of controls technologies (PLC, HMI, networks, robot, vision)of equipment and tools required in plants for the production of high quality parts
• Managing deliveries to program timing milestones
• Providing project report outs to senior management
• Existing program/site support (troubleshooting, etc.)
• Providing technical direction to less experienced controls engineers.
• Designing and troubleshooting of electrical controls systems
• Work may involve development and testing of advanced process technology
• Planning and coordinating maintenance activities, as well as providing support throughout their effective execution.
• Ensuring sustained daily productivity of the shop.
Work Appropriately
On Site: This position requires working on site on a full-time basis.
This position requires to change shifts (4x3).
Required Qualifications:
Bachelor´s Degree in Mechanical, Electrical, Robotics, Electromechanical, Mechatronics Engineering, or a related field.
Knowledge of hydraulics, pneumatics, and the interpretation of mechanical, electrical, and control drawings; PLCs; FANUC robots; vision systems; and preventive and predictive maintenance.
More than 4 years of experience in maintenance.
Advanced English.
In case you need any reasonable adjustment to continue with your process, let your recruiter know.
Remember to attach your CV when applying to this vacancy.
Non-Discrimination and Equal Employment Opportunities. General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We respect and value what each individual contribution to our team, including their origin, education, sex, race, ethnic group, sexual orientation, gender expression and / or identity, religious context, age, generation, and disability. We believe that our ability to meet the needs and expectations of an increasingly diverse and global customer base is closely linked to the diversity and inclusion that we experience within General Motors
]]>If you are a current employee of General Motors working in a per diem, hourly, or regular salaried role, you must apply through the internal careers page. Please navigate to https://workday.gm.com and search for GM Find Jobs.
The General Motors Manufacturing Group is seeking to identify highly motivated and qualified individuals for current and potential future opportunities as a Group Leader. In anticipation of these openings becoming available, we welcome you to apply so we can begin the pre-screening and interview process.
Onsite: This role is categorized as onsite. This means the successful candidate is expected to report to Romulus, Michigan on a full-time basis.
The Role:
As a Group Leader in Production, Quality, or Global Supply Chain (GSC), you will be responsible for leading teams of employees or technical personnel to drive operational excellence across manufacturing processes. This includes managing daily operations, developing and improving business processes, and fostering a culture of teamwork and collaboration.
In this role, you may oversee production activities, quality assurance, inspection, problem-solving, and GM Built-in-Quality initiatives. You will be expected to apply independent judgment within the framework of Global Manufacturing Systems, with a strong focus on Safety, People, Quality, Responsiveness, Cost, and Environment (SPQRCE).
Selected candidates will gain the chance to develop new skills while contributing to the advancement of manufacturing processes that support the groundbreaking shift toward electric and autonomous vehicles.
What You'll Do (Responsibilities):
Specific physical requirements of the position include the ability to:
Your Skills and Abilities (Required Qualifications):
What Can Give You a Competitive Edge (Preferred Qualifications):
Remote: This position does not require employee to be on-site full-time to perform most effectively. The employee’s role enables them to work off-site on a permanent basis. This position requires an employee to cover territory visits to dealerships in a reoccurring frequency.
The territory covers Tampa, FL and surrounding area. The selected candidate must live in territory or relocate to Tampa, FL (50 mile radius).
The Role
GM Field Service Engineers (FSEs) provide on-site professional automotive, business support to GM’s retail and wholesale communities. FSEs have broad responsibilities including vehicle diagnostic and repair support, providing an avenue for escalated cases, product problem resolution and territory management support for GM. The primary FSE objective is to diagnose and direct repairs on Florida customer vehicles and to mitigate the progression to qualify for repurchase and reduce warranty expense. FSEs will also evaluate Dealership internal comeback processes, provide Dealership onsite service readiness feedback and support Techline products at GM Dealerships.
What You'll Do (Responsibilities)
Retail Support
Provide third level, on-site support to resolve automotive technical and Techline issues as escalated through processes in place at the GM Technical Assistance Center and the FSE Dispatch Center. Respond immediately to dispatch cases for vehicle concerns that may lead to “vehicle down” or potential “repurchase” situations
Maintain a close working relationship with GM District Managers-Parts and Service (DMPS) and the Regional CAM and BRSM to review vehicles in repurchase jeopardy and seek creative ways to avoid buy-back.
Work closely with the GM Business Resource Center (BRC) to respond to customers in your area that have contacted Customer Assistance asking for a repurchase of their vehicle
Utilize GM’s predictive analytics tool to get notifications of high repurchase potential vehicles in your assigned area and assist dealers quickly when one of these high-risk vehicles shows up at a dealer in your area.
Review dealer comeback process on every dealer contact to determine it meets GM’s requirements
Help implement a comeback process for each dealer that does not have a robust process in place. Work with the GM Southeast Regional team when help is needed to persuade dealers to implement changes.
Review current Preliminary Information (PI) bulletins for known vehicle concerns with Dealer service personnel
Drive PI bulletin process by notifying TAC Escalation Team Agents (ETA) of authorized “field fix” information
Conduct ad-hoc in-Dealership training sessions, which can include technical information on the use of Techline tools and applications, as well as, other diagnostic tools and equipment when the dealer’s deficiencies in these areas are causing buybacks.
Take ownership of Dealer concerns and use effective problem resolution skills
For those that are contributing to buybacks, trouble-shoot Service department IT hardware and Techline tool problems, using all available resources and follow through to resolution
For dispatched cases, address GM Dealership customer problem resolution needs via phone or at the Dealership location.
Report on Dealership’s “State of Health” relative to overall service readiness to prevent buybacks.
When lack of qualified Technicians is the cause of buybacks, assist in Dealer Technician recruitment and retention by reviewing “Technician Pipeline” options to Dealer Service Management
Wholesale Support
Develop and maintain strong relationships with GM National and Regional Management responsible for Service Operations and Vehicle/Powertrain Brand Quality, including the GM Engineering community with a focus on product quality improvements and minimizing potential repurchases. Represent GM as the primary resource and spokesperson in the field for automotive technical and Techline product information
Attend to requests from GM wholesale personnel including Regional Service management, Vehicle/Powertrain Brand Quality, and Engineering as processed through the TAC and FSE Dispatch Center escalation process.
Provide feedback in the form of Field Product Reports (FPRs) to Vehicle/Powertrain Brand Quality Managers and GM Engineering
Provide support for Better Business Bureau (BBB) arbitration hearings and legal cases, such as “lemon law” lawsuits, to protect GM interests
Provide warranty waste reduction suggestions to FSE Leadership and the BQM Team
Your Skills & Abilities (Required Qualifications)
100% USA Geographic mobility is a requirement for this and all future moves in the field.
Extensive hands-on Automotive Dealership Service Department or equivalent vehicle diagnostic and repair experience.
Knowledge and experience with GM Essential Service tools
State Automotive Technician Certifications as required by state/local law (if relocated certified in new State within one month).
Possession of a valid driver’s license and a clean driving record
Proficient user of MS Office applications: Word, PowerPoint, Excel, Outlook (or equivalent e-mail/calendar app).
Ability to manage, resolve, document, and close dispatch cases in the required time-frame.
Ability to build and maintain customer relationships with Dealership management teams with focus on the Dealership Service department
Ability to work with minimal direction and be responsible for self-training to maintain and increase skills
A history of maintaining customer satisfaction in a territory with multiple customer locations is desired
Ability to create and provide specialized training
Excellent communication skills and time management to successfully prioritize and deliver critical services. Self-motivated with a proactive approach to meeting and exceeding customer expectations.
What Will Give You A Competitive Edge (Preferred Qualifications)
10 or more years hands-on Automotive Dealership Service Department or equivalent vehicle diagnostic and repair experience.
Familiar with the GM Comeback Process for GM Dealers
Familiar with GM Customer Assistance Operations
Vocational Degree, Technical Degree, Associates Degree or bachelor’s degree
Proficient user of Data Bus Diagnostic Tools (e.g., via TIS/GDS, NeoVi /V-Spy Intrepid Tools, Buffalo Tool, INCA Tool, etc.)
Proficient user of Pico Scope
10 plus years customer handling, support, sales, administrative, computer or other business skills applicable to the specific needs of the FSE position
Computer hardware set-up, internet and wireless communications experience
Certified in the following Automotive Service Excellence (ASE) Tests and re-certification at the required intervals:
A1-A9 plus Master Technician certification
T1-T8, plus Master Technician certification
L1, L2, L3 and L4
Knowledge of GM Global Connect Service Applications
Knowledge of GM Service Training College (GM STC) training web site and applications
Extensive knowledge of GM vehicle control systems, including controller area networks, GM LAN, etc.
100% completion of GM Service Training requirements including achieving GM Master Technician in one or more GM STC Training paths.
GM World Class Technician credentials
Knowledge of LAN/WAN IT infrastructure
Compensation: The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of New York, Colorado, California, or Washington.
The salary range for this role is ($69,000 - $107,300). The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.
Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.
Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more
#LI-AP1
]]> At General Motors, our product teams are redefining mobility. Through a human-centered design process, we create vehicles and experiences that are designed not just to be seen, but to be felt. We’re turning today’s impossible into tomorrow’s standard —from breakthrough hardware and battery systems to intuitive design, intelligent software, and next-generation safety and entertainment features.
Every day, our products move millions of people as we aim to make driving safer, smarter, and more connected, shaping the future of transportation on a global scale
Work Arrangement:
Hybrid: This full-time position does not require an employee to be on-site full-time to perform most effectively. However, this position requires an employee to be onsite at least three times per week (Tues., Wed., Thurs.) .
The Role :
As a Staff Applied AI Quality Specialist at GM, you will play a critical role in ensuring the highest levels of product quality, reliability, and durability for our vehicles.
This role connects customer experience, data analytics, AI and product engineering within Vehicle Software and Electronics Engineering Quality (VSEE Quality) to drive both short‑term containment and long‑term quality improvements across global vehicle programs.
You will be instrumental in preventing issues, identifying and resolving problems and continuously improving our quality to deliver exceptional products to our customers.
Key Responsibilities:
Drive technical excellence in VSEE Quality through data analytics, AI solutions, and holistic quality adoption across the organization.
Develop AI and data analytics solutions to advance VSEE quality.
Champion continuous learning, mentoring, and standardized data analytics and AI practices within Engineering Standard Work.
Lead data-driven quality investigations using DTCs, robustness analysis, warranty, service, manufacturing, telematics, and customer feedback data.
Oversee issue identification, hardware/software categorization, prioritization, and tracking through GM quality systems and dashboards.
Represent the organization in quality governance, escalation, and executive review forums.
Drive containment actions, root cause investigations, and permanent corrective actions to timely closure.
Lead service, plant, and OTA breakpoint management to enable effective quality improvements.
Forecast quality and warranty performance, monitor targets, and implement recovery plans as needed.
Track quality trends, Pareto drivers, and emerging risks to proactively prevent customer-impacting issues.
Lead rapid response activities for field escalations, launch issues, and critical customer concerns.
Drive read-across and systemic improvements across vehicle programs and architectures.
Align engineering, manufacturing, service, supplier, and program teams to accelerate issue resolution and quality outcomes.
Influence stakeholders to balance customer satisfaction, quality, warranty, cost, timing, and business objectives.
Develop executive-level quality metrics, dashboards, and communications to support decision-making.
Build a culture of accountability, technical excellence, innovation, and continuous improvement.
Coach and develop talent while advancing organizational capabilities in quality analytics, problem solving, and AI-driven productivity.
Minimum Skillset Required :
BS in Engineering, Data Science, Physics, Computer Science, Mathematics or similar.
Minimum 5 years of experience in engineering.
Minimum 2 years of experience developing and deploying in A I /ML solutions in production environment.
Experience analyzing warranty, DTC, field performance, service, manufacturing, or customer data.
Proficient in Python programming for production code.
Program management experience, ability to manage multiple priorities in a fast-paced environment.
Excellent technical problem-solving skills, with a track record of successful issue resolution.
High level of integrity, ability to deal with ambiguity, take initiative/self-directed.
Consistent demonstration of customer-centric innovation.
Good interpersonal skills and experience collaborating with cross-functional teams
High level of oral and written communication skills
DFSS Black Belt
Preferred Skills Required :
5+ years of experience in engineering.
2+ years of experience developing and deploying in A I /ML solutions in production environment.
Experience in Quality, Reliability & Durability (QRD), warranty, or field quality roles.
Experience supporting CPIT, Focus CPIT, SMT Core PDT, and escalation forums.
Use of QRD tools such as: SI, TrackerGart, QDAP, DAS, GWM, MERS
Knowledge of hardware vs. software issue partitioning and corrective action processes.
Experience working with global teams and suppliers.
Passion for leveraging AI & data analytics to standardize QRD work.
Current or previous role in providing technical direction to others
Experience with interacting with senior leaders
MS in Engineering, Data Science, Physics, Mathematics, Computer Science, or similar.
#LI-SW1
Why Join Us
At GM, you’ll be at the forefront of shaping the future of connected, electric, and autonomous vehicles . You’ll work on cutting-edge antenna systems alongside some of the brightest minds in automotive and RF technology — with the resources to make an impact at scale. We offer competitive compensation, growth opportunities, and a culture that values innovation, inclusion, and forward thinking . This is a unique opportunity to lead, innovate, and help millions of customers around the world stay connected on the move .
Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.
Benefits : GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.
Diversity Information
General Motors is committed to being a workplace that is not only free of discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that workforce diversity creates an environment in which our employees can thrive and develop better products for our customers. We understand and embrace the variety through which people gain experiences whether through professional, personal, educational, or volunteer opportunities.
We encourage interested candidates to review the key responsibilities and qualifications and apply for any positions that match your skills and capabilities.
]]>The Role:
The Launch Electrical Diagnostician is a key position to support the plant in achieving electrical first-time quality (EFTQ) glidepath during vehicle program launch. The primary responsibility is supporting electrical end of line (EOL) repair process. This role will collect data and information to help resolve the ongoing issues impacting EFTQ during launch.
What You’ll Do:
Be a member of the plant’s Electrical Team - an integrated, technical organization consisting of members from Manufacturing, Quality, Supplier Quality and Product Development organizations focused on problem solving the plant’s top external and internal quality problems. Report to the Lead Launch Electrical Coordinator within that team.
Lead electrical troubleshooting efforts for the launch team, focusing on top-hitting EFTQ issues, using Red X statistical problem solving and strategy-based diagnostics.
Create actionable items from electrical failures to enable issue documentation and follow up. Leads corrective action plans.
Complete required training at various sites around GM and suppliers. (Travel is required in this role)
Lead disconnect workshop during launch to develop database for repair faults (knowledge based repair systems) in GSIP.
Support Final Process Repairmen regarding training, troubleshooting vehicle issues, repair root cause entry into GSIP, Service Information schematic and other issues, Plant repair diagnostic tool (GDS2/MDI), and reporting systems. Coordinate training on new model features for repairmen on service diagnostic tools via Raytheon or applicable company.
Conduct training of vehicle electrical systems for Team Leaders so they can support their Team Members
Assist Process Engineer with build process issues, tryouts and training.
Educate our workforce by walking back issues, on job training and quality alerts.
Assist with disconnect discoveries and electrical test equipment.
Support or lead process and quality initiatives including Opex projects.
Your Skills & Abilities (Required Qualifications):
Proven electrical diagnostic experience working on automotive vehicles.
Experience working in a manufacturing or production environment
Strong electrical knowledge, including wiring, schematics, and troubleshooting of vehicle electrical systems
Strong interpersonal and team building skills
Strong written and oral communication skills, particularly to translate highly complex technical issues to non-technical people
Some travel required for training and supporting pre-preproduction
Self-motivated and innovative
Strong analytical ability
Able to make decisions quickly with a high level of confidence
What Will Give You a Competitive Edge (Preferred Qualifications) :
Minimum 3 years previous experience with automotive electrical sub-systems
ASE certification or similar
College Degree: Engineering or Technology equivalent
GM diagnostic tool usage, TPM, MDI, Service Information
Thorough working knowledge of GMS as well supporting BIQ4 Deliverables
About the Role
We are looking for a Senior Benefits Analyst with expertise in benefits, analytics, and project management to support strategic initiatives, optimize program performance, and deliver valuable insights that enhance both employee experience and business results.
What you will do (responsabilities):
Lead healthcare and benefits projects from planning through implementation, ensuring governance, stakeholder alignment, and successful delivery.
Analyze healthcare, benefits, and workforce data to identify trends, opportunities, risks, and cost drivers, translating findings into actionable recommendations.
Develop and maintain KPIs, dashboards, and reporting tools that support decision-making and program governance.
Drive process improvements, automation, and operational excellence across benefits programs.
Partner with vendors, brokers, consultants, and cross-functional teams to optimize service delivery and program performance.
Support benefits strategy by conducting benchmarking, market assessments, and evaluating new solutions and healthcare initiatives.
Prepare executive presentations and communicate complex information in a clear, impactful, and business-focused way.
Ensure compliance, data privacy, and effective governance across all benefits-related activities.
Location: São Caetano do Sul/SP
Your skills and abilities (required qualifications):
Bachelor's degree in Business, Economics, Engineering, HR, Healthcare Management, or related fields.
Experience in Benefits, Healthcare, Compensation & Benefits, HR Analytics, or related areas.
Strong analytical skills with the ability to turn data into business insights and recommendations.
Project management and process improvement experience.
Ability to collaborate with vendors and cross-functional stakeholders.
Advanced Excel and PowerPoint skills; Power BI, data visualization, automation, or AI tools are a plus.
Advanced English language skills; Spanish is a plus.
Knowledge of the Brazilian healthcare benefits market is desirable.
Experience in multinational environments is a plus
What may give you a competitive advantage (preferred qualifications):
Strong analytical and problem-solving skills.
Excellent communication and stakeholder management.
Collaborative mindset with the ability to build strong partnerships.
Experience leading projects and driving results.
Continuous improvement and automation mindset.
Ability to navigate ambiguity and make sound decisions.
High integrity, accountability, and focus on service excellence.
#LI-AS
]]>KEY JOB RESPONSIBILITIES:
SKILLS AND EXPERIENCE:
KEY COMPETENCIES:
Working at the intersection of design, engineering, purchasing, suppliers, and global teams, the Development Lead translates design targets into production-ready materials. This includes guiding supplier development, validating materials, establishing production approval masters, approving second-source solutions, supporting launch activities, and advancing material strategies, technologies, and continuous-improvement initiatives.
Lead end-to-end material development for assigned commodities across all GM brands and vehicle programs.
Deliver material developments that meet design intent, appearance quality standards, and production program requirements.
Partner directly with material suppliers to review and refine material submissions for construction, color, and other appearance attributes.
Collaborate with CMF Designers to establish and achieve appearance targets for new colors and materials
Maintain CMF brand and material strategies, ensuring alignment across the global portfolio.
Collaborate with Materials Engineering on new material development, technical readiness, and issue resolution.
Create and maintain trim transmittals in the GRANTA system.
Track development status for assigned programs and deliver milestones on time.
Support program development status reviews and production approval master readiness activities.
Proactively identify, escalate, and resolve issues related to assigned commodities.
Partner with Thierry to review and approve master samples.
Support the Appearance Quality Appearance Definition team and the CTDAR process.
Support the Appearance Quality Launch team throughout the Appearance Approval Review process.
Coordinate with regional counterparts to align and execute global material developments.
Build and maintain strong strategic relationships with internal partners and external suppliers.
Research and evaluate new materials and technologies to enhance future product offerings.
Participate in cross-functional projects and continuous process-improvement initiatives.
Bachelor's degree in Design, Engineering, or a related discipline.
Exceptional visual color acuity.
5+ years of experience in automotive appearance or materials development
Experience evaluating and developing color, grain, gloss, and haptic characteristics.
Demonstrated ability to visually assess materials for appearance attributes and quality concerns.
Automotive product experience in color and trim, materials development, or a related field.
Broad understanding of material types and their performance characteristics.
Working knowledge of material manufacturing processes.
Strong interpersonal skills and the ability to influence and collaborate at all levels of an organization.
Ability to interact positively and professionally with internal and external partners.
Demonstrated ability to build and maintain effective cross-functional relationships.
Strong project and program management skills, including disciplined follow-through.
Highly detail-oriented, organized, and effective at prioritizing work.
Ability to manage multiple projects and priorities in a fast-paced environment.
Excellent verbal and written communication skills.
Ability to create and deliver clear, compelling presentations to leadership.
Proven ability to collaborate effectively across functions and global regions.
Creativity, curiosity, and an innovative mindset.
Knowledge and experience across a variety of material commodities
Previous experience developing color and material masters
The BSW (Basic Software) Memory Boot & Programming Services team is a core embedded-software group responsible for the memory, boot, and programming capabilities that enable GM electronic control units (ECUs) to securely receive, store, validate, and update software and calibration content across manufacturing, service, engineering, and over-the-air use cases.
The team develops and integrates boot managers, bootloaders, bootloader updaters, memory and data-management services, programming flows, and related security components, while partnering closely with hardware, application software, vehicle programs, suppliers, manufacturing, and service organizations to deliver reliable, production-ready embedded infrastructure.
The team is part of GM’s Mechatronic Software Platform organization, within Embedded Platform Systems & Infrastructure, whose mission is to provide robust mechatronic software infrastructure that enables customer-facing vehicle features and functions.
The Role:
We are now hiring for a Staff Software Engineer for Boot Software within the BSW Memory Boot & Programing Services team! This role is referred to as NATS (New Architecture Technical Specialist) within GM, and serves as the primary expert for ECU Boot software (Boot SW). You will define and evolve Boot SW for new SDV controller families, lead deep‑dive troubleshooting of Boot issues, and execute advanced integration work to bring up and stabilize new architectures.
This role requires someone who can confidently juggle multiple programs and priorities, stay calm under pressure, and consistently drive issues to clear, data‑driven closure. You will lead the bring-up of new controller architectures, develop and evaluate new Boot designs, and drive a balanced, scalable architecture that enables high‑quality software delivery across multiple programs.
This is a senior individual contributor role (GM Level 8) that operates at the intersection of hardware, basic software, application, solution, and systems teams, and aggressively leverages AI tools across design, integration, debugging, documentation, and standard work to increase both speed and quality.
What You’ll Do (Responsibilities):
Your Skills & Abilities (Require Qualifications):
People Skills:
What Will Give You a Competitive Edge (Preferred Qualifications)
Company Vehicle : Upon successful completion of a motor vehicle report review, you will be eligible to participate in a company vehicle evaluation program, through which you will be assigned a General Motors vehicle to drive and evaluate.
Note: program participants are required to purchase/lease a qualifying GM vehicle every four years unless one of a limited number of exceptions applies.
#LI-DH2
]]>As the Maintenance Group Leader, you will be responsible for a small to medium group of maintenance employees. You will manage the maintenance and repair of plant equipment and facilities aligned with standard GM maintenance systems.
Work Appropriately
On Site: This position requires to work on site on a full-time basis
Responsibilities
You will conduct appropriate checks and tests and communicate evaluation of results.
Recommends solutions to problems
Responsible for preventative maintenance and diagnosis of equipment malfunctions
Meets schedule and quality requirements
Complies with the terms of local and national labor agreements
Implements divisional and corporate policies and safety and good housekeeping practices
Maintain frequent contact and collaboration with others outside of the work group
Responsible for the effective use of personnel, material and equipment
Establishes a course of action to accomplish completion of the job and/or project. Has knowledge and ability to implement GMS principles.
Required Qualifications
Bachelor’s degree in mechanical, Mechatronics, Electrical Engineering or any related engineering field, or relevant experience.
Minimum of 1 year of relevant experience in a similar role, preferably within maintenance or manufacturing environments (2–5 years preferred).
Intermediate level of English, with the ability to hold a technical conversation.
Availability and flexibility to work rotating shifts (4x3 schedule).
Demonstrated leadership abilities
Proven experience leading work teams
Experience with CNC Machining, PLCs, and electrical system
Knowledge of FANUC and Siemens CNC controls
Strong teamwork skills
Familiarity with PLC platforms such as Allen-Bradley, Rockwell, and Siemens.
Preferred Qualifications
Understanding of robotic cell configurations, automation systems, and basic robot programming or handling.
In case you need any reasonable adjustment to continue with your process, let your recruiter know.
Remember to attach your CV when applying to this vacancy.
General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We respect and value what each individual contribution to our team, including their origin, education, sex, race, ethnic group, sexual orientation, gender expression and / or identity, religious context, age, generation, and disability. We believe that our ability to meet the needs and expectations of an increasingly diverse and global customer base is closely linked to the diversity and inclusion that we experience within General Motors.
]]>About the Role
The HR Policy Program Manager is responsible for managing key HR policy programs and processes that enable consistent, compliant, and employee-centered solutions across General Motors. This role leads the U.S. salaried accommodations process, designs and implements new HR Policy processes, and partners broadly across Employee Relations and Investigations (ERI), functional and global HR teams, and Centers of Expertise (COEs).
The ideal candidate combines strong program management, policy governance, process design, stakeholder management, and continuous improvement skills. They are comfortable translating business needs and external market insights into practical HR solutions and measurable outcomes.
Key Responsibilities
Program and Process Leadership
Manage the U.S. salaried accommodations process, ensuring an effective, consistent, and well-governed experience for employees, leaders, and HR partners.
Design, build, implement, and continuously improve HR Policy processes that support company objectives and evolving business needs.
Lead special projects and other strategic initiatives within the HR Policy portfolio.
Support global expansions and the implementation of scalable policy processes across regions and business areas.
Policy Governance and Operations
Develop and maintain policy governance practices, including process standards, ownership, documentation, review cycles, and stakeholder accountability.
Maintain and enhance the HR Policy SharePoint site as a reliable, accessible source of policy information and resources.
Partner with Policy Consultants to coordinate work, support project delivery, and improve consistency across policy initiatives.
Identify opportunities to simplify, standardize, and improve the employee and manager experience associated with HR policies and processes.
Research, Benchmarking, and Insights
Maintain current knowledge of external HR policy trends, practices, and emerging developments.
Benchmark relevant external approaches and adapt key insights into practical, risk-balanced solutions for GM.
Monitor changes in the broader HR and employment landscape and assess potential implications for GM policies and processes.
Measurement and Continuous Improvement
Measure the effectiveness and impact of HR policies and related processes.
Create and maintain an HR Policy scorecard that communicates results, trends, risks, and opportunities to key stakeholders.
Use data, stakeholder feedback, and operational insights to identify improvement priorities and drive continuous improvement activities.
Prepare concise updates and recommendations for leadership and other stakeholders.
Collaboration and Stakeholder Partnership
Collaborate closely within ERI and across functional and global HR teams.
Partner with COEs and other stakeholders to align policy solutions with business, employee, and organizational needs.
Build trusted relationships with stakeholders by providing practical guidance, managing expectations, and connecting policy decisions to business outcomes.
Facilitate alignment across diverse perspectives and drive decisions through implementation.
Required Qualifications
5+ years experience in HR policy, employee relations, accommodations, HR operations, program management, or a related discipline.
Demonstrated experience designing, implementing, and improving business processes or programs.
Strong project management skills, including the ability to manage multiple priorities, timelines, stakeholders, and deliverables.
Strong analytical and problem-solving skills, including the ability to translate data and insights into recommendations.
Excellent written and verbal communication skills, with the ability to communicate effectively with employees, HR professionals, business leaders, and senior stakeholders.
Demonstrated ability to collaborate across functions, geographies, and levels of the organization.
Proficiency with Microsoft Office, SharePoint, and tools used to organize, analyze, and communicate program information.
Preferred Qualifications
Experience managing workplace accommodations or related HR case processes.
Experience developing policy governance frameworks, scorecards, dashboards, or performance measures.
Experience supporting global HR programs or adapting processes across countries and regions.
Experience benchmarking external HR practices and applying insights in a large, complex organization.
Experience working with HR Centers of Expertise, Employee Relations, or shared services teams.
Key Competencies
Strategic and operational thinking
Program and project management
Policy governance and process design
Data analysis and continuous improvement
Stakeholder influence and relationship management
Sound judgment and risk-balanced decision-making
Clear, concise communication
Adaptability and execution in a complex environment
Measures of Success
U.S. salaried accommodations process is consistently managed, well-documented, and responsive to employee and business needs.
HR Policy processes are implemented effectively, with clear governance, ownership, and documentation.
SharePoint content is accurate, accessible, current, and easy for stakeholders to use.
Global expansions and special projects are delivered on time and aligned with business objectives.
HR Policy scorecard provides meaningful visibility into impact, trends, risks, and improvement opportunities.
Stakeholders experience HR Policy as a practical, proactive, and trusted partner.
Continuous improvement actions produce measurable gains in policy effectiveness, process efficiency, and stakeholder experience.
The Ethernet Systems Engineering team develops, validates, and deploys the in-vehicle Ethernet foundation that enables GM’s Software-Defined Vehicle architecture. The team owns end-to-end system engineering for automotive Ethernet networks—including requirements, architecture, network configuration and communication artifacts, higher-layer protocols such as SOME/IP and Service Discovery, test specifications, automation, and network-bench verification—while collaborating closely with electrical architecture, hardware and software teams, semiconductor suppliers, Tier-1 partners, and industry standards organizations.
As part of the broader Embedded Platform Infrastructure Systems Engineering organization, the team helps deliver the reliable, secure, scalable infrastructure capabilities—including communications, diagnostics, safety, cybersecurity, power management, programming, and I/O—that allow vehicle feature teams to build and integrate innovative customer experiences.
The Role:
We are looking for a talented and motivated candidate to join our team in our journey of defining and executing the backbone of our company's future—the next generation Vehicle Electrical and Software Architecture.
The Mechatronics Infrastructure organization is looking for a Senior Software Engineer who will develop work on network validation, scripts, and automation to continuously improve robustness and confidence in our in-vehicle Ethernet network performance. The role will interface with both physical and virtual network test assets, such as single network-devices-under-test benches, networked multi-controller virtual models, transaction-level network simulation models, and physical end-to-end network verification benches.
The role will focus both on functional verification, and its automation, as well as nonfunctional performance metrics such as temporal behavior. The role will cross-collaborate with teams working on embedded software, system specifications, virtual models, test automation infrastructure, and architecture analysis.
What You'll Do (Responsibilities):
Your Skills & Abilities (Required Qualifications):
People Skills:
What Will Give You A Competitive Edge (Preferred Qualifications):
Job Summary
The Facilities Project Planner – ICC Construction leads the front-end planning activities for major building and infrastructure projects supporting GM North America Manufacturing and Non‑Manufacturing sites. The position works with GM business units to identify facilities solutions that enable business initiatives and leads cross‑functional project stakeholders in developing the right project. Involvement begins at the earliest stages of the needs assessment and continues through funding approval, ensuring a smooth transition from planning to design and construction execution. The role is expected to operate at a high level and consistently demonstrate GM Behaviors (Win with Integrity, Commit to Customers, Innovate and Embrace Change, Speak Fearlessly, Move with Urgency, Be Inclusive, Lead as One Team, Own the Outcome).
Key Responsibilities
Work with GM business unit representatives to understand operational capacity and strategic requirements for facilities projects.
Develop project planning concepts and alternatives by drawing from professional experience, historical data, benchmarks and GM standards.
Lead ICC Construction / Global Facilities project teams and stakeholders from other GM units in the development of integrated facility project plans.
Effectively communicate issues, risks, assumptions and recommendations to team members, stakeholders and executive leadership.
Present facility alternatives, concepts and recommended solutions to ICC Construction and GM leadership for decision and approval.
Contribute to Appropriation Request (AR) business case development, including scope definition, class-level cost estimates, schedules and business justification.
Utilize Global Facilities and Project Planning standard processes and tools, including the Front End Planning Toolkit, VDP/AR processes, estimating software, MS Project and Plan Builder.
Document and communicate the Project Plan, including scope of work, cost estimate, schedule, risk assessment and key assumptions, to downstream design, procurement and construction teams.
Coordinate with Project Management, Project Engineering, Environmental, GPSC and other partners to ensure planning deliverables are constructible, biddable and aligned with sourcing and execution strategies (e.g., design/build, bundled programs, asset sustainment).
Maintain knowledge of the construction industry, delivery models and benchmarking through participation in professional organizations and relevant industry forums (e.g., CII, CURT, LCI).
Identify and implement process improvements, tools and standards that enhance ICC Construction front‑end planning effectiveness and predictability.
Mentor and provide guidance to less‑experienced project planners and contribute to building planning capability within the ICC Construction organization.
Required Qualifications
Minimum of 4–6 years of experience in the architectural / engineering / construction field on major commercial or industrial capital projects.
Minimum of Bachelor’s degree in engineering, architecture, construction management or related field.
Knowledge of manufacturing, office and lab/test building and infrastructure systems.
Knowledge of construction estimating and scheduling principles and their application to capital projects.
Experience with front-end planning, VDP and AR processes for capital projects.
Strong analytical, organizational and communication skills, including the ability to synthesize complex information into clear recommendations for leadership.
Strong computer skills, particularly in Google Docs, Excel, PowerPoint, Word, MS Project and cost estimating software.
Demonstrated ability to work independently, exercising sound judgment and influencing cross‑functional teams.
Demonstrated commitment to safety, quality and compliance with GM policies and procedures.
Preferred Qualifications
Experience in working on automotive or industrial building projects (OEM, Tier 1 or similar).
Working knowledge of GM organizations, ICC Construction processes and governance for capital planning and execution.
Basic knowledge of automotive manufacturing and assembly processes.
Master’s degree in architecture, engineering, construction management or business (e.g., MBA).
Como Chevrolet Brand Strategy Intern en General Motors, formarás parte del equipo responsable de construir y fortalecer la relevancia de Chevrolet en México. Participarás en proyectos de marca, campañas integrales y actividades de coordinación con diferentes equipos y agencias, adquiriendo experiencia práctica en una de las industrias más dinámicas y competitivas.
También tendrás la oportunidad de participar en asignaciones especiales diseñadas de acuerdo con tus intereses y objetivos de desarrollo profesional.
Apoyar en la planeación, ejecución y seguimiento de campañas de marketing de Chevrolet.
Dar seguimiento a calendarios, entregables y materiales de campaña con equipos internos y agencias externas.
Apoyar en la revisión de piezas creativas para asegurar su alineación con la estrategia y los lineamientos de marca.
Apoyar en el monitoreo de resultados de campañas y en la identificación de oportunidades de mejora.
Coordinar información entre las áreas de Marketing, Ventas, Comunicación, Producto y agencias.
Participar en proyectos especiales relacionados con la estrategia y comunicación de la marca.
Estudiante de Marketing, Comunicación, Publicidad o una carrera afín.
Interés por el marketing de marca, la publicidad y la industria automotriz.
Disponibilidad para realizar prácticas profesionales de acuerdo con los lineamientos de la institución educativa.
Inglés intermedio o avanzado, deseable.
Capacidad para organizar información, dar seguimiento a pendientes y cumplir fechas de entrega.
Comunicación clara, actitud colaborativa y disposición para aprender.
Atención al detalle y capacidad para trabajar en un entorno dinámico.
Planeación y ejecución de campañas de marketing.
Gestión de proyectos y coordinación con agencias.
Construcción y comunicación de marca.
Presentación de ideas y resultados.
Trabajo colaborativo con equipos multidisciplinarios.
Coordinación de equipos internos y externos.
Experiencia práctica en proyectos de marketing de una marca automotriz líder.
Exposición a procesos de estrategia, creatividad, medios y comunicación.
Acompañamiento y oportunidades de aprendizaje dentro del equipo.
Asignaciones especiales alineadas con tu plan de desarrollo profesional.
GM no proporciona soporte ni patrocinio para trámites de documentos legales con fines inmigración. Si requieres apoyo en el trámite de documentos migratorios ahora o en el futuro, abstente de aplicar a esta vacante"
Si requieres algún ajuste razonable para continuar con tu proceso de selección, informa tu reclutador.
Recuerda adjuntar tu CV al momento de postularte.
No Discriminación e Igualdad de Oportunidades
General Motors es una empresa comprometida en ser un espacio de trabajo libre de discriminación que fomenta la inclusión y el sentido de pertenencia. Respetamos y valoramos lo que cada individuo ofrece a nuestro equipo, incluyendo su procedencia, educación, sexo, raza, grupo étnico, orientación sexual, expresión y/o identidad de género, contexto religioso, edad, generación, y discapacidad. Creemos que nuestra habilidad para satisfacer las necesidades y expectativas de una base de clientes cada vez más diversa y global se vincula de cerca a la diversidad e inclusión que vivimos dentro General Motors.
]]>As a fully qualified, experienced professional on GM’s Human Resources and Global Mobility team, you will independently lead the operational management, governance, and continuous enhancement of GM’s global immigration programs. Using deep professional expertise, independent judgment, and minimal guidance, you will ensure compliance, consistency, strong employee experience, and alignment with business and workforce needs.
Serving as a trusted partner to Human Resources, Legal, Talent Acquisition, business leaders, and external immigration counsel, you will analyze broad and non-standard challenges for program and complex employee cases and develop practical options and translate regulatory and business changes into scalable operational solutions.
You will develop, recommend, and execute a global immigration strategy; establish consistent policies, governance standards, playbooks, service expectations, data, and reporting while allowing for local requirements; and drive continuous improvement across processes, technology, stakeholder experience, and workforce planning.
What You'll Do:
Policy, Compliance & Program Management
Advisory & Stakeholder Management
Service Delivery, Complex Cases & Escalations
Required Qualifications:
Compensation:
The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws.
The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position, as well as geography of the selected candidate.
Vacancy Status
Yes - This posting is for an existing vacancy within the organization and is open to new applications. (Backfill)
AI Disclosure
As part of the application process, Artificial Intelligence will be used in the hiring process for this role
Onsite - This role is categorized as onsite. This means the successful candidate is expected to report to St. Catharines on a full-time basis.
The Role
The Industrial Engineer will work directly with production in implementing lean manufacturing systems. You will analyze throughput data to help departments improve performance. You will be responsible to handle standardized work for future products alongside the core team and help to launch extraordinary products. In steady state, you will drive continuous improvement projects. The ability to work in a dynamic, fast-paced manufacturing environment is critical to your success at General Motors.
What You’ll Do (Responsibilities)
The main purpose of the Industrial Engineer is to work to eliminate waste of time, money, materials, person-hours, machine time, energy and other resources that do not generate value.
The position will develop, recommend, and implement changes which will result in the improvement of manufacturing processes and or product quality
Develop, status, and analyze Manufacturing Master Schedules in sufficient detail to monitor progress, assess program status, and identify performance issues in a timely manner.
Use critical path methodology and application in network development, analysis, and problem resolution.
Optimize sequence of operations and work flow.
Create crew plans to ensure resources are allocated and utilized effectively.
Create metrics to monitor schedule progress and help identify risk areas.
Work to improve efficiencies through waste elimination and process improvements.
Perform data analysis to establish shop metrics and tackle complex problems.
Provide Technical support and assistance to manufacturing and maintenance team members, production supervisors and production associates.
Your Skills & Abilities (Required Qualifications)
Successful completion of a Bachelor’s Degree in Engineering or related field - Industrial Engineering Degree preferred.
Minimum 2 years of experience in industrial engineering and proficiency in lean manufacturing techniques.
Experience with using AutoCAD, Factory cad or equivalent, MS-Office tools (Excel, Access, Project, Word, and PowerPoint).
Strong analytical and problem-solving skills with the ability to identify and implement process improvements.
Familiarity with industry regulations and standards related to automotive manufacturing.
Experience with six sigma methodologies and continuous improvement initiatives.
Excellent communication and teamwork abilities to collaborate with cross-functional teams.
What Can Give You a Competitive Advantage (Preferred Qualifications)
All required Global Manufacturing System (GMS) Training
Experience in the automotive industry, preferably in manufacturing or production environments.
Knowledge of automotive manufacturing processes.
Compensation
The salary range for this role is $76,100.00 to $114,300.00. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.
Benefits Overview
The goal of the General Motors of Canada total rewards program is to support the health and well-being of you and your family. Our comprehensive compensation plan currently includes the following benefits, in addition to many others:
Paid time off including vacation days, holidays, and supplemental benefits for pregnancy, parental and adoption leave;
Healthcare, dental, and vision benefits
Life insurance plans to cover you and your family;
Company and matching contributions to a Defined Contribution Pension plan to help you save for retirement;
GM Vehicle Purchase Plan for you and your family.
This job is not eligible for relocation benefits. Any relocation costs would be the responsibility of the selected candidate.
GM DOES NOT PROVIDE IMMIGRATION-RELATED SPONSORSHIP FOR THIS ROLE. DO NOT APPLY FOR THIS ROLE IF YOU WILL NEED GM IMMIGRATION SPONSORSHIP NOW OR IN THE FUTURE.
]]>Every day, our products move millions of people as we aim to make driving safer, smarter, and more connected, shaping the future of transportation on a global scale.
As a Senior State Estimation Engineer within the SEAM Embodied AI organization, you will be a senior individual contributor driving cutting-edge sensor calibration and state estimation solutions that directly impact autonomous driving performance. Your role is pivotal in designing, architecting, and deploying advanced systems for purposes including pinpointing the vehicle’s location in the world, and calibrating parameters of all sensors to ensure they optimally support many other vehicle subsystems. You'll lead critical technical initiatives, collaborate closely with cross-functional teams, mentor engineers across the organization, and significantly shape the future of onboard autonomous driving capabilities.
About the Organization:
The SEAM Embodied AI team is at the forefront of developing groundbreaking sensor fusion systems powering fully autonomous vehicles. We leverage modern approaches that are both practical and theoretically sound, supported with top quality code and rigorous testing. Our solutions enable robust state estimation for the purposes of real-time localization, static and dynamic sensor calibration, as well as onboard and offboard high-fidelity map creation at scale. Join a collaborative and innovative team redefining autonomy through state-of-the-art methodology, delivering solutions that move beyond current technological boundaries.
What You'll Do:
Drive the design, development, and deployment of advanced solutions for state estimation, localization, sensor calibration and more.
Lead and architect complex projects, from conception through validation to onboard implementation, emphasizing scalability, robustness, and safety-critical operation.
Champion innovation in multi-sensor self-calibration in unstructured environments, state estimation architectures, and fault tolerance strategies suited for real-time onboard deployment.
Provide technical mentorship and thought leadership, elevating engineering practices, and fostering innovation across teams.
Collaborate closely with multidisciplinary engineering groups, ensuring seamless integration of localization, sensor alignment, and other capabilities into autonomous vehicle systems.
Influence technical roadmaps, shaping strategic priorities aligned with company objectives and product milestones.
Your Skills & Abilities:
Master's or Ph.D. in Robotics, Computer Science, Electrical Engineering, or a related technical field.
8-10+ years of extensive experience developing and deploying advanced state estimation and/or sensor calibration systems, particularly in real-time onboard applications.
Proven track record as a technical leader and expert in sensor calibration, state estimation, and/or localization, operating on a wide variety of sensor inputs to perform robustly within safety-critical systems.
Strong software engineering proficiency, particularly in C++ and Python, alongside extensive hands-on experience with development, integration, and testing tools.
Excellent communication, collaboration, and mentoring abilities, comfortable influencing technical strategy and guiding engineering excellence across the organization.
Bonus:
AV/ADAS experience is a big plus
Remote:
This role is based remotely but if you live within a 50-mile radius of Mountain View, you are expected to report to that location three times a week, at minimum.
Compensation :
The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of the California Bay Area.
The salary range for this role is $170,600.00 - $261,300.00. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.
Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.
Benefits:
Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.
This job may be eligible for relocation benefits.
#GM-AV-1
]]>The territory covers North Central TX Buick GMC Dealers (DFW, & surrounding areas). The selected candidate must live in territory or relocate to Dallas / Fort Worth or surrounding area. Relocation may be provided.
The Role
The Sales professional has territorial responsibility for the administration of the Sales and Service Agreements that exist between GM and its dealers. They often act as consultants to the dealers and work reciprocally with them on the development and implementation of their business plans. They may be involved in a variety of initiatives including: execution of marketing initiatives, customer retention, financial analysis, and training.
What You'll Do:
Extreme ownership of District Revenue, Retention & Customer Experience
Serve as a trusted advisor to dealership leadership
Responsible for driving revenue growth, achieving KPIs and effective execution of all CCA programs, initiatives and related activities
Expected to thoroughly prepare for and conduct the standardized dealer contact process with an emphasis on dealer priorities/needs and GM performance goals
Responsible for analyzing dealer’s marketing and merchandising plans and provide effective recommendations to drive service lane traffic
Responsible for creating and executing annual Business Plans and implementing effective countermeasures to mitigate headwinds
Responsible for successfully addressing and resolving aftersales customer needs, including but not limited to: resolution of SPAC/CAC/TAC cases, goodwill/warranty/policy requests
KPIs: SRT sales objective, NPS, Retention, STS Training, EV Training & Compliance
Your Skills & Abilities (Required Qualifications):
Bachelor’s Degree or Equivalent Experience
2+ years of experience leading, guiding and improving dealership fixed operations
Proficient automotive industry knowledge and business acumen including service operations, warranty administration and customer experience
Effective oral and written persuasive and informative communication skills
Proficient knowledge of Dealership Service & Parts Operations:
Automotive Parts and Service Systems
Dealer Operating Report & Fixed Analysis Tools
Dealership profit department’s structure and interconnectivity
Consultative Selling Skills
What Can Give You a Competitive Advantage (Preferred Qualifications)
Successfully builds and maintains strong internal/external relationships
Successfully Drives for Results & Drives Change Management
Effectively demonstrates Informative and Persuasive communication skills
Effectively works autonomously with strong Time Management & Prioritization Skills
Effective With Timely Problem Solving
Consistently Demonstrates Innovation and Creativity
Consistently Demonstrates Initiative & Adaptability
Strong Customer Orientation & Conflict Resolution
GM is working toward a future defined by Zero Crashes, Zero Emissions and Zero Congestion. Achieving that goal requires sustained investment in the people, software, and systems that support safer, better, and more sustainable transportation. We are continuing to build our team of passionate software engineers who bring technical depth, independent judgment, genuine enthusiasm for building software, and a high standard for production quality to this work.
Vision and Automation Services is an organization within General Motors that builds innovative software solutions for global manufacturing, with a strong focus on vision-as-a-service capabilities, automation, and AI enablement. Our teams combine modern cloud platforms, plant-floor systems, computer-vision systems for camera-based inspection, data models and data platforms, and sophisticated AI-assisted software engineering across the development lifecycle. We also apply agentic workflows and other emerging technologies to build products that help people work more safely and efficiently.
We are looking for a Staff Software Engineer who can take technical ownership of substantial areas of a complex, production-critical platform. This is a challenging role with a high degree of autonomy. You will be expected to onboard quickly and understand software development across the full lifecycle, from requirements and design through testing, deployment, observability, and continuous improvement. At this level, you will also facilitate collaboration across teams, align technical dependencies and delivery plans, and help teams make and execute sound decisions. The role calls for strong technical judgment, disciplined execution, and the ability to create alignment and make progress through ambiguity. You will have a meaningful opportunity to shape technical direction and the engineering practices used to evolve the platform.
You will work across a sophisticated, highly integrated platform spanning Python and FastAPI backend services, React and TypeScript frontend applications, adjacent Java and Spring Boot services, event-driven components, cloud infrastructure, data stores, security controls, and manufacturing-system integrations. The platform is delivered through highly automated CI/CD pipelines using GitHub Actions, Azure, and GitOps tooling. You will also contribute to computer-vision and edge-to-cloud solutions such as in-plant monitoring systems, where reliable software connects cameras, plant infrastructure, machine-learning capabilities, operational services, and user-facing workflows.
This role combines strategic architecture with hands-on implementation. You will help establish engineering direction, mentor other engineers, partner with manufacturing and product leaders, and deliver scalable solutions that operate reliably in real-world plant environments. The role also values practical machine-learning expertise, including the ability to fine-tune models and productionize them for reliable inference in operational environments. The scope provides substantial opportunity for broader architectural ownership, increasing influence across teams, and shaping how the platform evolves.
The Controller Integration Engineer (CIE) is responsible for executing vehicle software integration standard work to support issue identification, preliminary root cause, software readiness, and issue resolution throughout the vehicle development lifecycle.
This role works closely with Vehicle Software Leads (VSLs), software development teams, quality, Product Quality Engineers, and vehicle integration teams to support software readiness and successful program execution.
A successful CIE demonstrates strong technical aptitude, learns quickly, navigates ambiguity, and takes ownership of assigned work while helping solve technical challenges on vehicles.
What You’ll Do:
Execute Vehicle Software Configuration Management (VeSCoM) processes and support software release activities for assigned vehicles and programs.
Plan, execute, and document tests based on the Controls Development Plan (CDP).
Support software feature checkout activities aligned with software availability and program milestones.
Investigate software and calibration issues identified during vehicle integration activities.
Create and maintain VeSCoM documentation including release notes, controller ID files, hardware dependencies, and known issues.
Document and track software and calibration anomalies using JIRA, GIMS, or related tools.
Support software flashing and software update activities throughout vehicle development.
Perform preliminary root cause analysis and identify system impacts associated with software and calibration issues.
Support collection and analysis of vehicle logs and data required for issue investigation.
Work with software, systems, validation, and quality teams to support issue resolution.
Participate in vehicle build events, development testing, buy-off rides, and readiness activities.
Support vehicle preparation activities required for integration testing and DVUL execution.
Ensure Software Execution fleet vehicles maintain valid, test-ready software configurations and software content.
Support software readiness across assigned program(s).
Escalate technical concerns and risks through appropriate program channels.
Required Qualifications:
Pursuit of a Bachelor’s or Master’s degree in one of the following areas Mechanical Engineering, Electrical Engineering, or Computer Engineering
Must be graduating between Dec 2026 – June 2027
Must have a valid US drivers license
Must be able to work in Southeast Michigan
Able to work fulltime, 40 hours per week
Preferred Qualifications:
Experience in automotive systems, controls, software integration, or related technical areas.
Understanding of vehicle electrical architecture and major automotive systems.
Experience with automotive communication networks including CAN, LIN, or Ethernet.
Strong analytical and problem-solving skills.
Ability to legally operate a motor vehicle.
Experience with vehicle software integration and validation activities.
Formula SAE, EcoCAR, or other Automotive related experience/clubs
Software-in-the-loop test environment experience
Hardware-in-the-loop test environment experience, including dSPACE ControlDesk MATLAB/Simulink/Stateflow experience
Vehicle Dynamics / CarSim or other computer aided test experience
Communication protocol and tool experience (Automotive Ethernet, CAN, LIN diagnostics, ETAS INCA, Intrepid NeoVI/VSpy/Comet/Galaxy, Vector CANoe/CANape tools)
GM does not provide immigration-related sponsorship for this role. Do not apply if you will need GM immigration sponsorship now or in the future, including sponsorship or work authorization support such as H-1B, OPT, STEM OPT, CPT, TN, or J-1.
Work Arrangement:
Hybrid: This role is categorized as hybrid. This means the successful candidate is expected to report to Milford, MI or Warren, MI three times per week, at minimum or other frequency dictated by the business.
To help facilitate administration of relocation benefits if you are selected, please apply using the permanent address you would move from.
Benefits:
GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.
This job may be eligible for relocation benefits
As a Future Program Execution Ergonomist, you will be responsible for the identification and resolution of ergonomic issues which will drive the reduction of injuries and manufacturing inefficiencies on GM’s next generation of vehicles. The ability to work in a dynamic, fast-paced environment will be critical to your success. You will collaborate with other engineering disciplines, such as product design and manufacturing, as well as outside suppliers and UAW representatives.
This position may be filled with a Future Program Execution Ergonomist or Senior Future Program Execution Ergonomist. The level for this role will be determined based on the selected candidate’s qualifications, skills, and experience.
What You'll Do (Responsibilities)
Additional Job Description
Your Skills & Abilities (Required Qualifications): Senior Future Program Execution Ergonomist
Your Skills & Abilities (Required Qualifications ): Future Program Execution Ergonomist
What Can Give You A Competitive Edge (Preferred Qualifications)
About
GM is developing the next generation of embedded platform software to deliver state-of-the-art ADAS features to our customers. The Autonomy Interface SW (AIS) team is responsible for building runtime software that enables robust interface contracts, system degradation transitions, and seamless sensing integration with the autonomy stack.
The Role
As a Software Engineer you’ll be responsible for designing, documenting, and implementing complex, highly scalable, low-latency software in C++ on Linux-based systems for the AIS team. Your work will be the foundational software which the rest of GM’s AV stack is built upon.
If you are looking to solve one of today’s most complex engineering challenges, see the results of your work in hundreds of self-driving cars, and make a positive impact in the world, join us.
What you’ll be doing (Responsibilities)
Develop software in C++ to interface the GM autonomy stack with the sensors and custom hardware on the vehicle
Improve and deliver reliable software through requirements generation, continuous integration, automated testing, issue tracking, and code reviews
Collaborate with colleagues across multiple teams and mentor other developers
Deliver complex projects through incremental development
Your Skills & Abilities (Required Qualifications)
2+ years of experience writing production-quality software
Bachelors Degree in relevant field or relevant work experience.
Experience with C++11 or later
Knowledge of and experience applying software best practices
What Will Give You A Competitive Edge (Preferred Qualifications)
4+ years of experience writing production-quality software
Experience developing on and for embedded Linux / POSIX systems
Demonstrated experience building, testing, and shipping production software
Experience with safety critical development (FDA, FAA, Automotive)
Experience with embedded build systems, such as buildroot or yocto.
Experience working with Camera or other sensors like radars\lidars.
Experience with networking
Experience with ROS or other robotics middleware platforms
Experience with other languages: C, Python, Bash, Go
Experience with QNX, VxWorks, or similar.
Compensation: The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of New York, Colorado, California, or Washington
#LI-EL1
The Role
The Battery Quality Analyst (BQA) is responsible for day-to-day quality control of battery modules and packs on the RESS lines. This role owns defect detection, repair verification, and containment activities, and partners with Production, Engineering, and Maintenance to ensure safe, compliant, and stable operations for high-voltage battery assembly.
What You’ll Do
Your Skills & Abilities (Required Qualifications)
What Will Give You A Competitive Edge (Preferred Qualifications)
Work Environment / Schedule
The Team:
At General Motors we strive for a culture of excellence. We act with integrity. We are driven by ingenuity and innovation. We have the courage to do and say what's difficult. Each of us takes accountability for results, drives for continued efficiencies and has the tenacity to win.
We are seeking Manufacturing Mechanical Engineer Interns to do hands-on work that could add directly to the bottom line of our culture and our company. You will have many responsibilities and accountabilities, like mechanical support for programs. You will learn how to lead mechanical projects for several different areas of the plant including operations improvements and new and replacement programs. This is a hands-on position in which you may work with periodic repairs and to provide technical support and direction to support personnel/skilled trades.
What You’ll Do:
Mechanical root cause analysis and problem solving
Analyze product, process and technology to figure out the best methods of manufacture
Assist in the design and building of tools and equipment or recommends improvements to existing processes
Assist maintenance personnel in operation and maintenance of specialized equipment
Troubleshoot special maintenance and equipment problem
Coordinate machinery upgrade projects
Lift or carry materials weighing up to 15 pounds and periodically carry or lift materials weighing up to 40 lbs.
Occasionally sit, climb (including ladders and lifts) and drive vehicles and equipment.
Required Qualifications:
Pursuit of a Bachelor’s degree in one of the following areas: Mechanical Engineering/Mechanical Engineering Technology
Must be graduating between August 2027 and June 2029
Able to work full-time, 40 hours per week
Must be willing to work in a plant environment
Preferred Qualifications:
Outstanding interpersonal and relationship management skills with the ability to effectively collaborate with varying levels of the organization
Excellent written and verbal communication skills with the ability to distill complex subjects to a wider audience
Evidence of strong character with integrity, honesty, accountability and trust
Consistently demonstrates innovative thinking that is customer-centric
Excellent project management skills and the proven ability to manage multiple projects at any given
Specific physical requirements of the position include the ability to:
Walk and stand for prolonged periods of time.
Read standardized work instructions, operate machines and tools, and perform quality inspections.
Promptly detect and respond to safety instructions, alarms, and signals.
Wear personal protective equipment, for example: safety glasses, gloves, hats, ear plugs, and safety shoes.
Work in a loud manufacturing environment that is not climate controlled (conditions can be hot or cold).
Frequently and repetitively bend, twist, kneel, crouch and reach to perform work.
GM does not provide immigration-related sponsorship for this role. Do not apply for this role if you will need GM immigration sponsorship now or in the future. This includes direct company sponsorship, entry of GM as the immigration employer of record on a government form, and any work authorization requiring a written submission or other immigration support from the company (e.g., H1-B, OPT, STEM OPT, CPT, TN, J-1, etc.)
Work Arrangement:
Onsite: This role is categorized as onsite. This means the successful candidate is expected to report to their assigned facility on a full-time basis.
Each successful candidate will be offered an onsite role at a specific location. Candidate location preferences are considered but cannot be guaranteed.
Job Location:
We have opportunities available in the locations below for this role. Please indicate in your application which of these locations you are interested in.
Arlington, TX
Bay City, MI
Bedford, IN
Bowling Green, KY
Defiance, OH
Detroit, MI
Flint, MI
Fort Wayne, IN
Grand Rapids, MI
Kansas City, KS
Lansing, MI
Marion, IN
Orion, MI
Parma, OH
Rochester, NY
Romulus, MI
Saginaw, MI
Springhill, TN
Toledo, OH
Wentzville, MO
GM will provide a one-time lump sum taxable stipend payment to eligible students selected for the 2027 Student Program – to help facilitate administration of relocation benefits, please apply using the permanent address you would move from.
Start dates for this internship role are May 24th and June 14th of 2027.
As an individual contributor on the Connected Apps Design team, you will lead the design of complex, end-to-end experiences that span both the vehicle and GM’s mobile touchpoints. The team is responsible for core customer experiences across charging, media, audio, passenger entertainment, and phone-based productivity for the full GM portfolio. While you may not own mobile design delivery directly, you are expected to bring a strong cross-channel perspective and proactively guide design decisions to ensure cohesive, well-considered experiences across platforms.
In this role, you will operate with a high degree of autonomy, translating ambiguous problem spaces into clear interaction models, scalable UI solutions, and well-rationalized contributions to our design systems. You will partner closely with product, engineering, and research to shape product direction, validate design decisions, and drive design excellence through strong craft, clear rationale, and iterative delivery.
If you are passionate about designing digital products that elevate everyday experiences, we would love to hear from you.
What You’ll Do
Collaborate with designers and cross functional partners to deliver a premier user experience across GM products and platforms
Balance user needs, technical constraints, and business objectives to solve complex design problems
Develop production ready interaction designs aligned with established design systems and guidelines
Create design deliverables including sketches, wireframes, mockups, animations, and prototypes to clearly communicate design intent
Release production specifications and assets to software engineering teams
Present design work to peers, partners, and leadership
Partner closely with product teams and engineers to ensure user interface designs are executed seamlessly as part of the overall experience
Participate in design critiques and contribute to informed design decisions
Your Skills & Abilities (Required Qualifications)
3+ years of experience designing digital interfaces for web, mobile, or in vehicle platforms
Formal training or a degree in Interface Design, Visual Design, or a related discipline
A strong portfolio with work samples demonstrating UX expertise, interaction design, creativity, and depth of thought
Proven experience bringing digital products to market
Ability to exercise restraint and intentionality in design decisions
Proficiency with industry standard design tools such as Figma and Adobe Creative Suite
Strong collaboration skills with cross functional teams
Excellent problem solving, organization, and written and verbal communication skills
What Will Give You a Competitive Edge (Preferred Qualifications)
Prototyping experience, including software and or hardware development
Experience creating high quality renders and animations
Ability to identify and apply technology to achieve design goals
Deep understanding of the competitive landscape in digital and automotive experiences
If you are a current employee of General Motors working in a per diem, hourly, or regular salaried role, you must apply through the internal careers page. Please navigate to https://workday.gm.com and search for GM Find Jobs.
The General Motors Manufacturing Group is seeking to identify highly motivated and qualified individuals for current and potential future opportunities as a Group Leader. In anticipation of these openings becoming available, we welcome you to apply so we can begin the pre-screening and interview process.
Onsite: This role is categorized as onsite. This means the successful candidate is expected to report to Tonawanda, NY on a full-time basis.
The Role:
The Maintenance Group Leader will be responsible for leading a group of skilled, hourly workers to troubleshoot and repair complex equipment and processes. This position requires the ongoing application and enforcement of the National and Local UAW Agreements. Candidates must possess technical expertise to oversee and support maintenance operations, exercising independent judgment within the framework of Global Manufacturing Systems, with a focus on Safety, People, Quality, Responsiveness, Cost, and Environment (SPQRCE)
Selected candidates will gain the chance to develop new skills while contributing to the advancement of manufacturing processes that support the groundbreaking shift toward electric and autonomous vehicles.
What You'll Do (Responsibilities):
Analyze and respond promptly to the manufacturing daily plan, making necessary adjustments to operations as required
Manage multiple tasks in a fast-paced environment with competing priorities
Drive accountability through people and processes which may require difficult conversations
Conduct appropriate checks and tests, and communicate evaluation of results
Proactively offers solutions to operational or technical issues
Perform preventative maintenance and diagnosis of equipment malfunctions
Maintains productivity and quality in line with organizational standards
Implement divisional and corporate policies and safety and good housekeeping practices
Maintain frequent contact and collaboration with others outside of the work group
Supervises the efficient use of labor, inventory, and machinery
Establish a course of action to accomplish completion of the job and/or project
Specific physical requirements of the position include the ability to:
Work in a loud manufacturing environment that may not be climate controlled (conditions can be hot or cold)
Possess good physical stamina and coordination to frequently and repetitively:
Bend, twist, kneel, crouch and reach to perform work
Lift or carry materials weighing up to 15 lbs. and periodically carry or lift materials weighing up to 40 lbs.
Walk and stand for prolonged periods of time
Occasionally sit, climb (including ladders and lifts) and drive vehicles and equipment
Read standardized work instructions, operate machines and tools, and perform quality inspections
Promptly detect and respond to safety instructions, alarms, and signals
Wear personal protective equipment, for example: safety glasses, gloves, hats, ear plugs, and safety shoes
Your Skills and Abilities (Required Qualifications):
One year of direct team supervisory experience or at least 5 months as an internal GM per diem group leader
Experience reading and understanding electrical, pneumatic, and hydraulic blueprints
Experience solving complex problems and working in a fast-paced environment
Strong interpersonal skills, experience managing conflict and decision making
Experience managing, leading people, and addressing performance concerns
Demonstrate a high analytical ability to solve complex problems
Basic computer proficiency (i.e., Microsoft Word, typing, email, etc.)
Must be willing to work weekends, overtime, and rotating shifts based on business needs
18 years of age or older
High School Diploma or equivalent
What Can Give You a Competitive Edge (Preferred Qualifications):
Strong critical thinking and analytical skills
Experience working on multiple projects simultaneously
Willingness to ask questions, take initiative and be resourceful
High level of integrity, ability to deal with ambiguity, self-directed
Experience collaborating across multiple functions within a manufacturing setting
Compensation:
The expected base compensation for this role is: $68,900.00 - $105,700.00. Actual base compensation within the identified range will vary based on factors relevant to the position.
Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.
Benefits:
GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.
Every day, our products move millions of people as we aim to make driving safer, smarter, and more connected, shaping the future of transportation on a global scale.
Role
As a Senior AI/ML Engineer in the Embodied AI organization, you will develop and deploy machine learning solutions contributing to autonomous driving performance. You will contribute to designing and improving ML models that support safe and reliable vehicle behavior across real-world scenarios.
You will collaborate closely with senior engineers and cross-functional teams to translate research and technical concepts into production-ready solutions while contributing to engineering best practices and delivery execution.
What You'll Do
Develop and improve ML solutions aligned with GM’s autonomous driving objectives.
Apply techniques such as unsupervised pre-training, imitation learning, reinforcement learning, model scaling/selection, foundation modeling, to solve problems in object detection/tracking/classification, trajectory generation, and safe AI.
Collaborate with cross-functional teams to deploy models into onboard driving systems.
Implement and evaluate models, incorporating research advancements into practical applications.
Contribute to taking ML solutions from experimentation through deployment and production support.
Participate in code reviews, documentation, and technical discussions to support engineering quality and knowledge sharing.
Your Skills & Abilities
Bachelor’s or Master’s degree in Computer Science, Robotics, Machine Learning, or related field.
Experience applying machine learning techniques to real-world systems or large-scale datasets.
Proficiency in PyTorch and Python.
Experience working with model training pipelines or large-scale data processing workflows.
Strong data processing skills using tools such as NumPy, Pandas, and Apache Spark.
Ability to collaborate effectively within cross-functional engineering teams.
Experience deploying ML models into production or working within production ML environments preferred.
Remote: This role is based remotely but if you live within a 50-mile radius of Austin, Detroit, Warren, Milford or Mountain View, you are expected to report to that location three times per week, at minimum.
Compensation : The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of the California Bay Area.
The salary range for this role is $170,600.00 to $261,300.00. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.
Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.
Benefits:
Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.
This job may be eligible for relocation benefits.
#GM-AV-1
]]> Compensation: The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of New York, Colorado, California, or Washington.
· The salary range for this role: is $123,200 to $189,100. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.
· Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.
· Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more
Prototype research concepts into performant tools integrated into CI/CD and large-scale validation pipelines.
Advance ML research for open and and closed loop simulation validation.
Develop scenario generation, coverage-guided testing, and rare-event discovery tooling.
Create robust metrics, predictors, uncertainty and Out-of-Distribution detection methods for autonomy ML systems.
Evaluate deep learning modules across perception, prediction, and planning in realistic sensor and traffic simulation.
Improve behavioral coverage and hazard-aligned metrics used in release readiness decision making.
Collaborate with Simulation, Safety, Systems Engineering, and cross-functional partners.
Author technical documentation, white papers, and contribute to validation methodology standards.
Research Focus Areas
Scenario synthesis (diffusion models, generative models, counterfactuals)
Coverage-based and fuzzing-based evaluation for autonomy behavior
Uncertainty estimation, calibration, conformal prediction, OOD detection
Robustness testing and perturbation frameworks
Test suite prioritization, failure mining, and regression analysis
Required Qualifications
MS + 5 years, or PhD + 3 years in ML, Robotics, Computer Science, or work related experience
Experience with simulation-driven ML evaluation for robotics/autonomy
Strong proficiency in Python, PyTorch/JAX/TensorFlow
Demonstrated ability to translate complex ML research ideas into functional prototypes
Experience integrating ML evaluation into CI/CD pipelines
Proven research impact through published work, internal tools, or patents
Strong communication skills and ability to collaborate cross-functionally
Preferred Qualifications
Experience with autonomy stacks (perception/prediction/planning).
Familiarity with CARLA, SVL, DriveSim, Applied Intuition, or equivalent simulation platforms.
Knowledge of Bayesian ML, causal inference, and sequential testing.
Experience with digital twin systems and sensor simulation.
Understanding of automotive safety standards (ISO 26262, UL 4600, SOTIF).
Experience building validation dashboards and scorecards connected to release criteria.
Success Criteria
Faster detection of ML regressions with improved test efficiency
Improved uncertainty and robustness metrics that support release decisions
Prototype tools integrated into production validation workflows
Tangible contributions to simulation strategy, hazard coverage, and ML confidence scoring
Compensation : The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of New York, Colorado, California, or Washington.
The salary range for this role is $144,700- $261,300. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.
Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.
Benefits:
Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.
#GM-AV-1
At General Motors, our product teams are redefining mobility. Through a human-centered design process, we create vehicles and experiences that are designed not just to be seen, but to be felt. We’re turning today’s impossible into tomorrow’s standard —from breakthrough hardware and battery systems to intuitive design, intelligent software, and next-generation safety and entertainment features.
Every day, our products move millions of people as we aim to make driving safer, smarter, and more connected, shaping the future of transportation on a global scale.
Role
As a Senior Machine Learning Engineer for Perception within the Embodied AI organization, you will own the end-to-end pipeline for safety-critical ML perception models , from initial research and large-scale data curation to optimization and real-time deployment on the vehicle's compute platform. Your primary mission is to enable the vehicle to accurately and reliably see, classify, and track everything in its environment—from rare road markings and complex intersections to vulnerable road users (VRUs).
Responsibilities
End-to-End Model Lifecycle: Own the design, training, validation, and deployment of deep learning models for core perception tasks such as:
3D Object Detection and Tracking (vehicles, pedestrians, cyclists).
Real-time map detection of the drivable world (lanes, road boundaries, traffic signs).
Multi-Modal Sensor Fusion (Camera, LiDAR, Radar).
Production Pipeline: Build and scale the ML training infrastructure, including data mining and loading, multi-stage training and evaluation, to streamline model development.
Performance Optimization: Improve model performance through data iterations, parameter tunings, training strategy and architecture updates to produce reliable models that meet and the strict real-time, low-latency requirements on the vehicle's embedded hardware.
Model Debugging: Conduct rigorous, data-driven analysis to identify, debug, and resolve performance degradations and failures, specifically targeting long-tail and adversarial scenarios (e.g., adverse weather, sensor noise, occlusions).
Metric Definition: Define and implement robust model-level metrics to aid model development.
System Integration: Work closely with the Safety, Systems, and other engineering functions to integrate Perception outputs.
Skills & Experience
BS, MS or PhD in Computer Science, Machine Learning, Robotics, or a related quantitative field.
5+ years of professional experience with a focus on Computer Vision, Deep Learning, and Perception in a production environment.
Deep hands-on experience with modern deep learning frameworks (e.g., PyTorch or TensorFlow) for training, experimentation, and debugging complex DNNs.
Proven experience working with and fusing data from multiple sensor modalities (Camera, LiDAR, and/or Radar).
Practical experience deploying and optimizing ML models for resource-constrained, real-time embedded systems.
Demonstrated ability to drive model improvements through large-scale data analysis, error logging, and data curation.
Bonus:
Expertise with Transformer-based models for 3D detection, tracking, and scene understanding.
Technical leadership experience, including mentoring junior engineers and leading major feature development from concept to launch.
Contributions to relevant academic publications (CVPR, ECCV, ICCV, IROS, NeurIPS etc.).
Remote: This role is based remotely but if you live within a 50-mile radius of Atlanta, Austin, Detroit, Warren, Milford or Mountain View, you are expected to report to that location three times per week, at minimum.
Compensation : The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of the California Bay Area.
The salary range for this role is $170,600.00 to $261,300.00. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.
Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.
Benefits:
Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.
This job may be eligible for relocation benefits.
#GM-AV-1
]]>Design, develop, and test Android system and application-level software for infotainment and digital displays (instrument clusters, center stack, HUD).
Lead the integration of Android applications within Android Automotive OS with embedded platforms and multi-display vehicle architectures.
Build reusable frameworks and services within Android, leveraging AOSP, Jetpack, and HIDL/AIDL interfaces.
Collaborate cross-functionally with hardware, product, and design teams to deliver responsive, beautiful, and consistent in-vehicle experiences.
Optimize Android system performance, startup time, and resource usage to meet automotive-grade reliability and latency requirements.
Drive Android-RTOS coexistence strategies, enabling seamless handoff and communication between systems.
Apply Agile/Scrum practices with CI/CD pipelines to ensure robust, testable code and frequent feature delivery.
Required Qualifications:
Bachelor’s degree in Computer Science, Electrical Engineering, or related field—or equivalent work experience.
8+ years of experience in production-grade software development, with 3+ years focused on Android system or application development.
Deep proficiency in Java and/or Kotlin
Familiarity with Android System Apps, AOSP, Android HALs, and system services.
Experience integrating Android with embedded ECUs and automotive protocols (CAN, LIN, Ethernet).
Preferred Qualifications:
Experience delivering Android-based infotainment systems in production vehicles.
8+ years of experience in production-grade software development, with 3+ years focused on Android system or application development.
Experience with Android emulator tools, ADB, and automotive debugging tools like CANoe or VehicleSpy.
C++ experience
Understanding of Android Automotive OS and its integration with vehicle networks.
Background in RTOS or hybrid Android/RTOS systems.
Knowledge of OpenGL, Vulkan, or Unreal Engine for advanced UI rendering.
Compensation : The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of New York, Colorado, California, or Washington.
The salary range for this role is $195,000 - $298,800. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.
Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.
Benefits:
Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.
This job may be eligible for relocation benefits.
“Company Vehicle: Upon successful completion of a motor vehicle report review, you will be eligible to participate in a company vehicle evaluation program, through which you will be assigned a General Motors vehicle to drive and evaluate. Note: program participants are required to purchase/lease a qualifying GM vehicle every four years unless one of a limited number of exceptions applies.”
]]>We are hiring a Senior Platform Engineer to join the Autonomous Vehicle (AV) Cloud Engineering team within AV Core Infrastructure. AV Cloud Engineering owns core IaaS and PaaS capabilities that support autonomous vehicle development and runtime environments.
This role is for an engineer who treats cloud infrastructure as a product and is motivated by building a reliable, easy-to-consume platform that helps AV engineers build, test, and run faster with less operational friction. You will work on the platform capabilities, abstractions, and self-service workflows that power AV workloads at scale. You should be comfortable turning broad infrastructure problems into durable engineering solutions and improving developer velocity through software, automation, and thoughtful platform design.
What You’ll Do
Build and evolve internal platform capabilities, self-service workflows, APIs, and automation that make the right path the easiest path for AV engineering teams.
Design clean abstractions that allow product and research teams to consume complex infrastructure, including specialized hardware such as GPUs, without deep infrastructure expertise.
Improve platform primitives across traffic, service mesh, runtime configuration, and connectivity for distributed AV workloads.
Reduce toil and improve reliability through reusable platform tooling, declarative automation, strong service ownership, observability, and SLIs/SLOs.
Take ownership of complex platform initiatives from problem definition through design, implementation, and adoption.
Partner with adjacent AV infrastructure teams to reduce developer friction and improve the reliability of the platform AV engineers depend on.
Contribute to a healthy engineering culture through design reviews, code reviews, mentorship, and clear technical communication.
Skills & Abilities:
Required: Fully qualified proficiency in Kubernetes (GKE) and the Google Cloud Platform (GCP) ecosystem, including VPC, IAM, etc.
Required: Hands-on experience implementing high-availability systems and managing the lifecycle of production-grade clusters.
Required: Strong proficiency in software engineering and DevOps principles, specifically using Golang/Python and Terraform.
Required: Ability to operate independently in an ambiguous environment and translate high-level requirements into clear technical tasks.
Required: A "Growth-based Mindset" with a commitment to continuous upskilling and a belief that team capacities are developed through effort and coaching.
Required: Professional experience managing the trade-offs between hardware-level performance (GPU passthrough) and clean cloud abstractions.
Preferred: Experience with Service Mesh (Istio) and managing large-scale DNS/Traffic configurations in a global environment.
Minimum Qualifications (Must-Have)
5+ years of experience or proven record of defining and executing technical strategy that required coordination across multiple teams, senior executives, and front-line engineers
Bachelors Degree in Computer Science or related field OR equivalent work experience
Hands-on experience with Kubernetes in production and strong familiarity with at least one major cloud ecosystem such as GCP, AWS, or Azure.
Strong software engineering skills in Go, Python, or similar languages, with the ability to build reusable automation, services, APIs, or controllers.
Experience designing, implementing, and operating large-scale, high-availability distributed systems in production.
Preferred Qualifications
Experience with service mesh technologies such as Istio and large-scale DNS or traffic management.
Experience with GKE and the broader GCP ecosystem, including networking and IAM; equivalent experience with EKS/AWS or AKS/Azure is also valuable.
Experience supporting AI/ML workloads or working with ML platforms and related tooling ecosystems.
Experience owning or influencing platform SLOs and availability targets in production.
Experience driving technical strategy or cross-functional alignment across multiple teams.
Additional Context
This role is best suited for engineers who want to build an internal platform product for other engineers. It is less suited to candidates whose background is primarily ticket-driven infrastructure support or one-off environment operations.
Hybrid: This role is categorized as hybrid. This means the successful candidate is expected to report to the Sunnyvale or Austin office three times per week, at minimum.
Compensation: The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of New York, Colorado, California, or Washington.
The salary range for this role: is $170,000 to $230,000. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.
Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.
Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.
GM’s Software Defined Vehicle Platform unlocks the ability to scale new software rapidly, seamlessly, and securely. The Software and Services group at GM develops scalable vehicle level system architecture and software solutions which enable efficient, real-time implementation of the creative customer-facing features of tomorrow.
As an Embedded Software Engineer on the Universal Flash Orchestrator Team, you will develop the vehicle-side software which enables all systems on the vehicle to be updated quickly and safely via Over-the-Air (OTA), at assembly plants, and at service bay. This software is the gateway enabling new innovative features, content, and improvements to be delivered to customers while maintaining vehicle system security.
Your expertise will be instrumental in driving us towards our vision of zero crashes, zero emissions, and zero congestion. Your proficiency in embedded and infotainment software development will help transform GM’s capability to deliver software to our customer’s vehicles.
Responsibilities
Minimum requirements:
Skills and Experience:
What Will Give You a Competitive Edge (Preferred Skills)
#LI-JK3
]]>Vacancy Status:
This posting is for an existing vacancy within the organization and is open to new applications.
AI Disclosure:
As part of the application process, Artificial Intelligence will be used in the hiring process for this role
Work Arrangement : Hybrid: This role is categorized as hybrid. This means the successful candidate is expected to report to Markham or Oshawa office three times per week, at minimum.
The Role
As a Software Architect , you will define the architecture for GM’s next‑generation virtual development platform, including SIL orchestration, AI‑enhanced simulation, data flows, and cloud‑native compute. You’ll build on your strengths in automation, embedded systems, and debugging while expanding into cloud orchestration, IaC, ML workflows, and distributed simulation systems.
What You’ll Do ( Responsibilities )
Architect distributed simulation systems for vECUs, FMUs, and SIL/MIL workloads, ensuring scalable execution across heterogeneous environments.
Define AI ‑ enabled simulation patterns including scenario generation, model‑based inference, and data pipelines.
Design cloud ‑ native compute platforms optimized for large‑scale parallel, and elastically scalable simulation workloads.
Establish API and service architecture for orchestration and data management.
Guide CI/CD integration for simulation and AI components.
Mentor developers and influence technical direction across teams.
Ensure security, observability, and reliability across the platform.
Your Skills & Abilities ( Qualifications )
Bachelor’s or Master’s degree in Engineering, Computer Science, or related field.
10+ years of relevant experience in software architecture, simulation, or distributed systems.
Expertise in backend and distributed systems .
Experience with virtualization and simulation (vECUs, FMUs, SIL).
Strong cloud architecture skills .
Experience with CLI-based architecture and MCP-based architecture for AI tools design.
Experience with ontology-based system design and architecture.
AI/ML integration experience for simulation or data workflows.
Knowledge of data engineering and storage patterns.
Experience with Kubernetes and container orchestration.
What Will Give You a Competitive Edge ( Preferred Qualifications )
Experience designing simulation platforms at enterprise scale.
Knowledge of automotive domain modeling and ontology.
Experience with event ‑ driven architectures for simulation workflows.
Experience with Agentic AI architecture and multi-agent coordination.
Advanced knowledge of ontology technologies and ontology design patterns (Owl, RDF, SPARQL, Automated reasoning)
Advanced ML workflow experience (feature stores, model serving, vector DBs).
Compensation:
The salary range for this role is $137,300 to $203,000. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.
GM DOES NOT PROVIDE IMMIGRATION-RELATED SPONSORSHIP FOR THIS ROLE. DO NOT APPLY FOR THIS ROLE IF YOU WILL NEED GM IMMIGRATION SPONSORSHIP NOW OR IN THE FUTURE.
Benefits Overview
The goal of the General Motors of Canada total rewards program is to support the health and well-being of you and your family. Our comprehensive compensation plan currently includes the following benefits, in addition to many others:
Paid time off including vacation days, holidays, and supplemental benefits for pregnancy, parental and adoption leave;
Healthcare, dental, and vision benefits;
Life insurance plans to cover you and your family;
Company and matching contributions to a Defined Contribution Pension plan to help you save for retirement;
GM Vehicle Purchase Plan for you, your family and friends.
General Motors has needs for qualified Industrial Electrician Journeypersons. Working under minimal supervision, the skilled trades Electrician Journeyperson is responsible for layout, installation, repair and preventative maintenance of complicated electrical equipment and circuits, troubleshooting and technical expertise on control systems.
Primary Responsibilities:
Follow established safety procedures according to OSHA standards and company procedures
Responsible for the maintenance and repair of electrical equipment
Analyze and troubleshoot electrical malfunctions in equipment and related components, diagnosing and correcting the problems quickly to avoid production delays
Perform electrical preventative and corrective maintenance on all plant equipment
Promote teamwork and show a willingness to work with other departments
Participate in continuous improvement activities
Read and interpret drawings and wiring schematics
Demonstrate strong problem-solving skills
Interested individuals must meet the following minimum qualifications:
U.S. Department of Labor Completion of Apprenticeship Certificate in Electrical trade or six (6) years of documented experience as an Electrician
Must be able to satisfactorily complete the General Motors hiring process requirements which include comprehensive assessments, hair drug testing, and a background check
At least 18 years of age
Eligible to work in the United States
Must be willing to work flexible shift hours and day, afternoon, or night shift as well as overtime hours daily, weekends and holidays on those shifts with little notice
This position may be filled with a Journeyperson or Journeyperson In Training, the compensation ranges for a JIT include ($37.77 - $44.06) or Journeyperson rate of $44.96. Certificates/credentials and scoring in interview will determine your status and pay.
GM DOES NOT PROVIDE IMMIGRATION-RELATED SPONSORSHIP FOR THIS ROLE. DO NOT APPLY FOR THIS ROLE IF YOU NEED OR WILL NEED GM IMMIGRATION SPONSORSHIP TO WORK OR TO REMAIN EMPLOYED AT GM (e.g., H-1B, TN, STEM OPT, etc.).
If you are a current GM employee operating under a collective bargaining agreement, please contact your local HR/LR for employee placement opportunities.
Physical Requirements
Quick response to safety instructions, alarms, and signals are a must
Ability to work and stand for extended periods
Comfortably wear personal protective equipment
Navigate a busy environment
Bend, twist, kneel, crouch, and reach
May need to lift or carry materials weighing up to 50 lbs. depending on department
Occasional sitting during certain tasks
Drive mobile equipment when needed
General Motors UAW hourly employment offers a very competitive compensation and benefit package. An annual incentive payout is also available, as qualified.
Relocation and travel expenses will be the responsibility of the applicant.
Please note – per the labor agreement between GM and the UAW, GM may share information and documentation relating to the credentials of applicants for this position (e.g., resumes, journeyperson cards, interview notes, certificates, etc.) with UAW personnel who have a need to know as part of their role on the UAW skilled trades team.
As a Software Engineer on the Galileo team, you will design, build, and scale the infrastructure and technology that powers testing and evaluation workflows for vehicle release and autonomous driving stack validation and verification. This includes developing and optimizing data processing pipelines, backend services, and internal tools used for large-scale analysis. In this role, you will independently own significant technical areas, drive high-quality implementation from design through production, and partner with cross-functional teams to build systems that support AV / ADAS development. You will help raise the engineering bar through sound technical judgment, strong execution, and mentorship of other engineers.
About the Organization
The GM AV Simulation team builds world-class testing and analysis products and technologies to help accelerate development of autonomous vehicles and broader vehicle software systems. Our customers range from AV developers understanding the effects of their code on vehicle behavior, to data engineers using our pipelines for evaluation insights, to release teams tracking top-line performance metrics. AV Simulation aims to deliver intuitive user experiences for robotics and AI engineers that help move GM toward a driverless future. Galileo is building the core infrastructure and architecture to support testing at scale. As part of this team, you will help build and evolve the infrastructure required for test organization, test triggering, test analysis workflows, and related data pipelines.
What You’ll Do
Design, develop, and maintain software systems that support large-scale autonomous driving evaluation workflows
Own major components and services that enable simulation, test execution, analysis, and reporting at scale
Build and improve infrastructure used to process and analyze large volumes of driving and evaluation data
Drive reliable software delivery through strong engineering practices including code reviews, automated testing, observability, and continuous integration
Collaborate across teams to define technical requirements, resolve ambiguous problems, and deliver scalable solutions
Debug complex production issues, improve system performance, and strengthen operational excellence for critical infrastructure
Mentor other engineers and contribute to a collaborative, inclusive, and high-performing engineering culture
Support GM engineering culture through ownership, technical excellence, teamwork, and continuous improvement
Your Skills & Abilities
BS, MS in Computer Science, Robotics, Software Engineering, or a related field, or equivalent practical experience
Demonstrated experience building and operating high-quality production software systems
Strong proficiency in one or more programming languages such as Python, Go, JavaScript, or C++
Experience designing and building backend systems, APIs, data pipelines, or distributed systems
Solid understanding of software engineering fundamentals including testing, debugging, version control, code reviews, and system design
Experience working with cloud platforms such as AWS or GCP
Familiarity with relational databases such as PostgreSQL and analytics or warehouse technologies such as BigQuery or Redshift
Strong problem-solving, communication, and cross-functional collaboration skills
Ability to operate with ownership in a fast-paced engineering environment and drive work through ambiguity
Passion for autonomous driving technology and its potential impact on the world
What Will Give You a Competitive Edge
Experience in robotics, AV / ADAS, simulation, or developer infrastructure
Experience building internal platforms, developer tools, or workflow orchestration systems
Experience supporting data scientists or ML / AI engineers through data pipelines and analysis workflows
Familiarity with web technologies such as Node or React
Experience improving reliability, latency, and performance in production systems
Experience developing software for high-scale or safety-critical environments
Interest in scientific analysis, large-scale evaluation, or data-driven engineering workflows
Compensation
The salary range for this role is $104,500 and $160,200. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.
Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.
Benefits
GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.
The Role
As a Senior Global Sourcing Manager, you will be responsible for sourcing Technology purchases (Software, Software as a Service, Infrastructure, etc.) on a regional and global basis. You will be responsible for developing, negotiating and implementing sourcing strategies by working with key stakeholders on technology requirements, IT, Security, Privacy and Legal, which then requires preparing and completing sourcing recommendations to various levels of management.
What You’ll Do:
Your Skills & Abilities (Required Qualifications)
What Can Give You a Competitive Edge (Preferred Qualifications)
Compensation:
This job may be eligible for relocation benefits
GM does not provide immigration-related sponsorship for this role. Do not apply for this role if you will need GM immigration sponsorship now or in the future. This includes direct company sponsorship, entry of GM as the immigration employer of record on a government form, and any work authorization requiring a written submission or other immigration support from the company (e.g., H1-B, OPT, STEM OPT, CPT, TN, J-1, etc.)
]]>The AI Cloud and Developer Infrastructure organization is responsible for delivering and maintaining the tools and services engineers here at GM use every day to do their best work and drive our cars forward. Tools and services we work on enhancing the entire development process of engineers at GM — how/where code is checked out, modified, compiled, tested, merged, and eventually deployed. Our goal is to ensure our AV engineers and others here have world class tools and a seamless development experience so that they can focus on the problems that matter most in their domain.
The Role
We are looking for a Senior Engineer with an extensive engineering background, experience using a variety of developer tools and technologies, and who is passionate about developer productivity. As a leader on this team, we are looking for someone who cares deeply about the technical development of other engineers on the team and is able to effectively balance the needs and priorities of the business, our users, and the growth of our engineers. This engineer will start delivering impact through observability frameworks and will evolve depending on business needs but they will be expected to identify high ROI investments with minimal guidance.
The Team
As a part of the AV Developer Productivity Org, the AV Agentic Developer Engineer is responsible for creating and maintaining a robust, reliable, and cohesive inner loop development experience for AV developers at GM to optimize the rate at which quality code is produced at Cruise. We achieve through a combination of internally developed tools, vendor tools, and vendor tool integrations.
The way this engineer will deliver impact may vary depending on the situation, but they will be expected to be able to identify how they can best have impact with minimal guidance.
What You’ll Do
Using your software and systems engineering skills to contribute code, perform code reviews, and create technical designs that improve performance and reliability of observability systems.
Proactively identify and address challenges that create new opportunities to improve the state of engineering through observability.
Partnering with Software Engineering teams to better understand use-cases and guide the engineers to use the existing tools effectively.
Building tools to enable engineers to collect and act on observability signals from distributed cloud systems and on-vehicle sensors
Influence the team’s technical roadmap by evaluating new tools and technologies through PoCs and selecting roadmap investments that align with our team vision
Drive software engineering best practices both within your team and across the AV organization, and create tooling which encourages these
Guide the team to find the right balance between delivering impact and addressing technical debt
Mentor and grow engineers on the team and across the organization
Your Skills & Abilities (Required Qualifications)
5+ years of experience designing, building, and operating production systems at scale in the cloud
Bachelors Degree in Computer Science or related field or equivalent work experience
Understanding of AI Engineering principles and concepts
Experience designing highly scalable, reliable, and maintainable services
Experience writing in effective Go or other equivalent languages at production scale
Understanding of Unix/Linux, SSH, and networking fundamentals
Attention to detail, and a desire to improve processes and systems around you
Ability to lead and influence others, both internal and external to the team
Principled reasoning and the ability to research, document, communicate, and defend proposals, and provide and take critical feedback
Ability to effectively make trade-offs and communicate the reasoning
Ability to manage competing priorities, focus on shipping, and work effectively under pressure
Passion for mentoring and growing junior engineers
Passion for leveling up the overall efficiency and effectiveness of the team
Passion for self-driving technology and its potential impact on the world
What Will Give You a Competitive Edge (Preferred Qualifications)
Experience working with GCP, AWS, or Azure
Familiarity with Kubernetes, Docker, Istio, Terraform, Prometheus, Grafana, TSDBs and observability pipelines (e.g. either for logging or metrics or tracing)
Skilled in defining and instrumenting SLIs and SLOs
Own or contribute to Open Source projects
Passion for self-driving technology and its potential impact on the world
5+ years of experience designing, building, and operating production systems at scale in the cloud
Compensation: The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of New York, Colorado, California, or Washington.
The salary range for this role is $178,420 to $230,500. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.
Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.
Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.
Benefits:
Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.
We are hiring a technically opinionated Staff Engineer to serve as a founding member of the Hybrid Services & Reliability (HSR) team at GM. AV Core Infrastructure (ACI) is the core engineering organization responsible for the unified, secure hybrid platform that enables all autonomous vehicle hosting, validation, and testing. You will be responsible for the measurable reliability of the "bench cloud"—the end-to-end environment that flows from physical test benches through the secure cloud network into production runtimes. This role is on the critical path for Super Cruise, where the readiness of our hardware-in-the-loop (HIL) systems is a Tier-0 requirement for safety validation.
What you’ll do
Reliability Architecture: Lead the definition and implementation of Service Level Objectives (SLOs) and SLIs for critical hybrid cloud services, establishing ready-state verification processes.
Foundational Utilities: Own and automate core on-prem utilities, including DHCP, PXE, and NTP, to enable seamless server auto-provisioning and maintain a healthy fleet of remote CI-based HIL benches.
Observability & MTTR: Develop and maintain dashboards and alerting to identify slot availability and system degradation, driving down Mean Time to Recovery (MTTR) from high-severity incidents.
Environment Integrity: Ensure uninterrupted data paths and dependency stability as data moves from ingestion at the test bench into the development and staging runtimes.
Technical Mentorship: Act as a resource for colleagues with less experience, identifying opportunities to improve internal processes and services to support functional strategies.
Your Skills & Abilities (Required Qualifications)
Required: Extensive professional experience in Site Reliability Engineering (SRE) with a focus on hybrid cloud platforms. Coding using Python/Go
Required: Recognized expertise in Linux systems administration and the automation of foundational networking utilities (DHCP/PXE).
Required: Deep experience with configuration management tools (e.g., Chef, Ansible) and Infrastructure as Code to reduce operational toil.
Required: Proven ability to work independently on complex issues that require conceptual thinking and the wide application of principles and concepts.
What Will Give You a Competitive Edge (Preferred Qualifications)
Experience with Kubernetes (k8s) and managing hybrid service connectivity between on-prem and multi-cloud environments.
Compensation: The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of New York, Colorado, California, or Washington.
The salary range for this role is $184,120 to $275,450. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.
Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.
Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.
Benefits:
Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.
Relocation: This job may be eligible for relocation benefits.
Hybrid: This role is based hybrid from Sunnyvale you are expected to report to that location three times a week, at minimum.
Preferred Experience Includes:
Experience with planned maintenance systems and predictive technologies
Experience with industrial robotics, automation, and conveyance systems
Primary Responsibilities:
Determine quality of finished products, ensuring defect-free parts, by verifying dimensions, alignment, and clearances for conformance to specifications using measuring instruments such as calipers, gauge blocks, micrometers, and dial indicators
Interested individuals must meet the following minimum qualifications:
At least six (6) years of related experience in a Mechanical trade (millwright, pipefitter, toolmaker, machine repair) or a U.S. Department of Labor Certificate of Completion in a Mechanical trade (millwright, pipefitter, toolmaker, machine repair).
Must be able to satisfactorily complete the General Motors hiring process requirements which includes comprehensive assessments, drug testing, and a background check
At least 18 years of age
Eligible to work in the United States
Must be willing to work flexible shift hours and day, afternoon, or night shifts as well as overtime hours daily, weekend and holidays on those shifts with little notice
GM DOES NOT PROVIDE IMMIGRATION-RELATED SPONSORSHIP FOR THIS ROLE. DO NOT APPLY FOR THIS ROLE IF YOU NEED OR WILL NEED GM IMMIGRATION SPONSORSHIP TO WORK OR TO REMAIN EMPLOYED AT GM (e.g., H-1B, TN, STEM OPT, etc.).
If you are a current GM employee operating under a collective bargaining agreement, please contact your local HR/LR for employee placement opportunities.
This position may be filled with a Journeyperson or Journeyperson In Training, the compensation ranges for a JIT include ($37.78-$44.08) or Journeyperson rate of $44.98. Certificates/credentials and scoring in interview will determine your status and pay.
Physical Requirements
General Motors UAW hourly employment offers a very competitive compensation and benefit package. An annual incentive payout is also available, as qualified.
Relocation and travel expenses will be the responsibility of the applicant.
Please note – per the labor agreement between GM and the UAW, GM may share information and documentation relating to the credentials of applicants for this position (e.g., resumes, journeyperson cards, interview notes, certificates, etc.) with UAW personnel who have a need to know as part of their role on the UAW skilled trades team.
This role is categorized as hybrid. This means the successful candidate is expected to report to the office in [Austin, Detroit, Warren, Milford, Mountain View, Seattle, or Sunnyvale] a minimum of 3 days per week. This position can be considered Remote if the successful candidate is in the Seattle, Washington area.
About Us
The AI Cloud and Developer Infrastructure organization is responsible for delivering and maintaining the tools and services engineers here at GM use every day to do their best work and drive our cars forward. Tools and services we work on enhancing the entire development process of engineers at GM — how/where code is checked out, modified, compiled, tested, merged, and eventually deployed. Our goal is to ensure our AV engineers and others here have world class tools and a seamless development experience so that they can focus on the problems that matter most in their domain.
The Role
We are looking for a Senior Engineer with an extensive engineering background, experience using a variety of developer tools and technologies, and who is passionate about developer productivity. As a leader on this team, we are looking for someone who cares deeply about the technical development of other engineers on the team and can effectively balance the needs and priorities of the business, our users, and the growth of our engineers.
The Team
Build Platform owns creating the build system and tooling that supports our AV and AI developers. We use Bazel in front of an in-house Remote Bazel Executor (RBE) and Content Addressable Storage (CAS) to provide a premier build experience at Cruise. Our team is constantly on the lookout for optimizations and new tooling that improves our product. GM AI developers are heavy users of Python and Docker. The speed at which they can iterate directly impacts the rate at which our AVs improve. The tooling and workflows that Build Platform provides are central to the productivity of our AI developers. Improvements in this space quickly lead to enormous impact for Cruise.
The way this engineer will deliver impact may vary depending on the situation but they will be expected to deliver complete solutions to existing problems from ideation to production and effectively communicate with stakeholders.
What You’ll Do (Responsibilities)
Design and implement improvements to our Python development ecosystem and workflows, which have a measurable and direct impact on engineering productivity.
Collaborate with engineers across the company to understand and support their development workflows.
Own technical projects from start to finish and be responsible for major technical decisions and tradeoffs.
Lead complex projects that span teams, with many partners and customers.
Effectively participate in planning, code reviews, and design discussions.
Contribute impactful projects to the team’s roadmap.
Thrive in a fast-paced, collaborative work environment where impact is a result of your efforts and where your contribution is highly visible.
Drive software engineering best practices both within our team and across engineering. Create tooling that encourages and supports these practices.
Mentoring and up-leveling other engineers on the team.
Conduct technical interviews with well-calibrated standards and play a crucial role in recruiting activities.
Be a positive contributor to our team culture.
Minimum Qualifications (Must-Have)
3+ years of experience leading and driving large-scale, cross-team initiatives
Bachelors Degree in Computer Science or related field or equivalent work experience
Experience working on developer tooling, Python, docker, etc.
Experience leading projects across multiple teams
Attention to detail, and a desire to improve processes & systems around you
Deep understanding of the business and operational impact for different technology tradeoffs
Passionate about self-driving technology and its potential impact on the world
Preferred Qualifications (Nice-to-Have)
5+ years experience designing, building, and operating production systems at scale in the cloud
Experience programming with C++ or Go
Experience with compilers (clang, gcc, nvcc, etc)
Experience with build systems such as Bazel or Buck
Experience with cloud infrastructure
Compensation: The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of New York, Colorado, California, or Washington.
The salary range for this role: is $170,000 to $240,000. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.
Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.
Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.
This job may be eligible for relocation benefits.
]]>The Role:
The Power and Signal Distribution Systems (PSDS) consist of Low & High Voltage Wire Harnesses/Cables interfacing with electrical devices throughout the vehicle. PSDS also consists of a variety of sub-components (i.e., coax, LVDS/USB and ethernet cables, clips, coverings, connectors, etc). The Power and Signal Distribution Systems (PSDS) DRE is responsible for the design, validation, and release of the harnesses/cables for vehicle programs. It is a DRE position within Mechatronics & Sensing Hardware Team. The position requires global collaboration with vehicle program teams, suppliers, and other product development teams (i.e., electrical architecture, interiors/exterior, body, chassis, vehicle validation, safety, purchasing, marketing, and manufacturing) to integrate and execute the harnesses and cables in the vehicle. The PSDS Release Engineer will directly affect the quality, durability and performance of future ICE and electric vehicles manufactured by GM.
What You’ll Do:
Lead the design, validation, and execution of assigned wire harness and cable assemblies, including all sub-components.
Lead the integration of the assigned harnesses/cables within the vehicle architecture
Provide direction to UG Designers
Meet program deliverables and imperatives per the PDS PDT Key Task Scheduler.
Execute root cause and problem resolution of vehicle or component development or validation issues.
Set priority and urgency for Engineering Change Requests, Problem Resolution, and Development / Validation Plans
Complete warranty reduction efforts on current product programs
Support all virtual and physical build events
Travels as required
Interface with Lead DRE and Technical Specialists on design direction
Leads discussions with program teams on design and execution in leadership forums
Provides complexity & cost reduction ideas as a direct interface with marketing, program management, purchasing and suppliers
Expected to optimize a comprehensive and detailed plan to validate the assigned component to its technical requirements.
Facilitates validation coordination with supplier validation representatives within the PDT meeting.
Reviews and approves component DV & PV ADVP&R
Track the execution of component hardware validation and facilitate approval with SMEs as needed
Documents test failures in PRTS
Ensures DV and PV are completed on time to the validation milestones
Ensures all test documentation is completed by validation, documentation, completes milestone and completes validation action plan or 3660 in support of launch.
Documents validation status in Janus weekly or upon change.
Partner with the Simplicity Hardware Engineers as program changes are managed to drive harness PN simplification to meet or exceed PSDS targets
Your Skills & Abilities (Required Qualifications)
Candidate should have one of the following engineering degrees: BSE, BS in Mechanical Engineering, Electrical Engineering, Industrial Engineering, Manufacturing Engineering, Computer Science, Math, Chemistry, Metallurgical Engineering, Engineering Mechanics, Aeronautical Engineering, Civil Engineering, Physics, Materials Engineering
At least 2 years of experience in PSDS or Vehicle Wire Harness Design or related fields.
Familiarity with PSDS component physical and/or virtual test methods.
Previous subsystem and/or component testing experience in automotive.
Interpersonal skills to work effectively with others, including global partners
Working knowledge of vehicle development process
Proficient in Microsoft Office Suite
Analytical and program coordination problem solving skills
In depth knowledge of vehicle electrical architecture and related systems
What Will Give You a Competitive Edge (Preferred Skills)
Preferred UG/Teamcenter experience.
Proficient use of AI to improve task/process efficiency
General Motors is accelerating the development of next-generation Central Compute, ADAS, and software-defined vehicle platforms. The Staff Electrical Hardware Engineer will serve as a technical leader responsible for defining hardware architectures, driving complex design decisions, and ensuring successful execution across multiple vehicle programs.
This role requires deep expertise in electrical hardware development combined with strong system-level thinking and cross-functional leadership. The Staff Engineer will influence architecture, mentor engineering teams, resolve complex technical challenges, and drive hardware solutions from concept through production.
Compensation: The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position, as well as geography of the selected candidate.
• The salary range for this role is ($159,400 - 245,000). The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.
• Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.
Benefits:
• Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.
The Integrated Center Stack (ICS) and Instrument Panel Cluster (IPC) are among the most visible and customer-facing technologies in the vehicle, serving as the primary interface between customers and GM’s advanced digital cockpit experience. As a Design Release Engineer (DRE) – Displays & Cockpit Integration, you will play a critical role in delivering high-quality display systems that seamlessly integrate design, functionality, and customer experience.
In this role, you will lead the development and integration of ICS, IPC, HVAC controls, and, where applicable, Front Passenger Infotainment (FPI) displays across vehicle programs. You will work closely with cross-functional teams including Interior, HVAC, Electrical, Software, User Experience, Manufacturing, Quality, Purchasing, Program Management, and Design Studio organizations to ensure successful execution from concept through launch and production.
This position offers broad exposure across engineering and product development disciplines, requiring both strong technical expertise and the ability to influence stakeholders, drive alignment, and resolve complex integration challenges. The successful candidate will be responsible for ensuring all program requirements, deliverables, and customer expectations are achieved while balancing quality, cost, timing, and technical performance.
What You’ll Do
Your Skills & Abilities (Required Qualifications)
What Will Give You A Competitive Edge (Preferred Qualifications)
#LI-JK3
]]>General Motors has needs for qualified Industrial Electrician Journeypersons. Working under minimal supervision, the skilled trades Electrician Journeyperson is responsible for layout, installation, repair and preventative maintenance of complicated electrical equipment and circuits, troubleshooting and technical expertise on control systems.
Primary Responsibilities:
Follow established safety procedures according to OSHA standards and company procedures
Responsible for the maintenance and repair of electrical equipment
Analyze and troubleshoot electrical malfunctions in equipment and related components, diagnosing and correcting the problems quickly to avoid production delays
Perform electrical preventative and corrective maintenance on all plant equipment
Promote teamwork and show a willingness to work with other departments
Participate in continuous improvement activities
Read and interpret drawings and wiring schematics
Demonstrate strong problem-solving skills
Interested individuals must meet the following minimum qualifications:
At least six (6) years of related experience as an Electrician or a U.S. Department of Labor Certificate of Completion in the Electrical trade
Must be able to satisfactorily complete the General Motors hiring process requirements which includes comprehensive assessments, drug testing, and a background check
At least 18 years of age
Eligible to work in the United States
Must be willing to work flexible shift hours and day, afternoon, or night shift as well as overtime hours daily, weekends and holidays on those shifts with little notice
GM DOES NOT PROVIDE IMMIGRATION-RELATED SPONSORSHIP FOR THIS ROLE. DO NOT APPLY FOR THIS ROLE IF YOU NEED OR WILL NEED GM IMMIGRATION SPONSORSHIP TO WORK OR TO REMAIN EMPLOYED AT GM (e.g., H-1B, TN, STEM OPT, etc.).
If you are a current GM employee operating under a collective bargaining agreement, please contact your local HR/LR for employee placement opportunities.
This position may be filled with a Journeyperson or Journeyperson In Training, the compensation ranges for a JIT include ($37.77 - 44.06) or Journeyperson rate of ($44.96). Certificates/credentials and scoring in interview will determine your status and pay.
Physical Requirements:
Quick response to safety instructions, alarms, and signals are a must
Ability to work and stand for extended periods
Comfortably wear personal protective equipment
Navigate a busy environment
Bend, twist, kneel, crouch, and reach
May need to lift or carry materials weighing up to 50 lbs. depending on department
Occasional sitting during certain tasks
Drive mobile equipment when needed
General Motors UAW hourly employment offers a very competitive compensation and benefit package. An annual incentive payout is also available, as qualified.
Relocation and travel expenses will be the responsibility of the applicant.
Please note – per the labor agreement between GM and the UAW, GM may share information and documentation relating to the credentials of applicants for this position (e.g., resumes, journeyperson cards, interview notes, certificates, etc.) with UAW personnel who have a need to know as part of their role on the UAW skilled trades team.
]]>Location: Hybrid (Onsite 1–3 days/week (Tues., Wed., Thurs.)
Organization: Global Instrument Panel Cluster & HUD Engineering
Job Type: Full-Time (Hybrid)
Role Overview
The HUD Optical Senior Engineer is responsible for end-to-end ownership of optical system performance design across development and validation. This role drives build to print design definition, execution, and governance of optical design and validation, ensuring robust execution, early issue identification, and alignment across programs. This position is a key enabler of GM’s in-house HUD strategy.
Key Responsibilities
Own optical system performance across requirements, design, validation, and launch
Design for build to print, Head Up Display relay optics ensuring the FOV, luminance, distortion, ghosting, image stability design criteria are enabled
Create 3D optical models and simulations encompassing the Head Up Display relay optics, ray bundle, eye-box, reflection scatter, windshield wedge, and thermal loads.
Lead optical design direction and performance trade-offs
Develop and govern optical validation strategies (virtual, bench, vehicle)
Drive early risk identification through optical simulation and system-level validation
Ensure design alignment with mechanical, electrical, and software interfaces
Lead supplier Optical design reviews to assess feasibility and risks
Ensure optical design alignment to Head Up Display strategy for dimming and brightness control
Support prototype and production root cause analysis and resolution of optical issues
Provide clear, data-driven updates and recommendations to leadership
Tools & Software Requirements
Optical simulation tools (Ansys, Zemax, Speos, LightTools)
3D CAD tools (NX, Vis MockUp, CATIA, Creo)
Optical visualization and rendering tools
Data analysis tools (MATLAB, Python)
Validation and issue tracking tools (Jira, PRTS)
Virtual validation and model correlation platforms
Organizational Impact
Establish clear ownership and governance of optical build to print design and performance
Drive consistent execution and engineering rigor across programs
Enable early optical design issue detection and reduce late-stage rework
Strengthen cross-functional alignment
Support scalable, GM-owned HUD capability
Required Qualifications
Bachelor’s degree in Optical Engineering, Physics, or related field
5+ years of experience in optical system design or validation
Experience with optical simulation tools
Strong analytical, problem-solving, and communication skills
Proven ability to influence cross-functional teams
Preferred Qualifications
Experience in automotive HUD systems
Knowledge of advanced optics (waveguide, AR, projection systems)
Experience with virtual validation and model correlation
Familiarity with GM processes (PRTS, ECR, validation frameworks)
Advanced degree (Master’s or PhD)
DFSS / Six Sigma experience
#LI-SW1
Why Join Us
At GM, you’ll be at the forefront of shaping the future of connected, electric, and autonomous vehicles . You’ll work on cutting-edge antenna systems alongside some of the brightest minds in automotive and RF technology — with the resources to make an impact at scale. We offer competitive compensation, growth opportunities, and a culture that values innovation, inclusion, and forward thinking . This is a unique opportunity to lead, innovate, and help millions of customers around the world stay connected on the move .
Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.
Benefits : GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.
Diversity Information
General Motors is committed to being a workplace that is not only free of discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that workforce diversity creates an environment in which our employees can thrive and develop better products for our customers. We understand and embrace the variety through which people gain experiences whether through professional, personal, educational, or volunteer opportunities.
We encourage interested candidates to review the key responsibilities and qualifications and apply for any positions that match your skills and capabilities.
]]>Experience with Android UI/application development is a strong plus as the organization transitions toward Android-based UI platforms.
Key Responsibilities
Required Skills
Core C++ Development
UI / Graphics Development
Experience in one or more:
Good understanding of:
Embedded / Automotive Platform Experience
Preferred experience with:
Understanding of:
Tools & Development Workflow
Experience with:
Android UI Development (Preferred / Plus)
Experience in any of the following is a strong plus:
Preferred Qualities
Nice to Have
Example Technologies
Compensation: The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of Bay Area, California.
Compensation: The expected base compensation for this role is : $189000 - $240000. Actual base compensation within the identified range will vary based on factors relevant to the position.
Compensation:
Benefits:
Company Vehicle: Upon successful completion of a motor vehicle report review, you will be eligible to participate in a company vehicle evaluation program, through which you will be assigned a General Motors vehicle to drive and evaluate. Note: program participants are required to purchase/lease a qualifying GM vehicle every four years unless one of a limited number of exceptions applies.
#GM-AV-1
REQUIREMENTS : Bachelor’s degree in Industrial Design, Industrial Engineering, Mechanical Engineering, or related field of study and Ten (10) years of experience as a Digital Sculptor, Digital Design Manager, Industrial Design Engineer, or related role. Ten (10) years of experience with the following: Determining timing requirements for GVDP model execution; NX/Alias software; Automotive production and manufacturing processes; Die pull, Draft, Graining, Parting Line Gap, Flush, and Formability requirements; Vehicle packaging and integration requirements; Led creative teams on a minimum of 3-5 assignments for smaller scope programs starting pre-PFI; Creating and refining digital automotive component models in collaboration with engineers and designers; and Utilizing local digital math surfacing, virtual reality design, and digital modeling capabilities.
#LI-DNI
]]>Hybrid:
This role is categorized as hybrid. This means the successful candidate is expected to report to Milford, MI three times (Tues., Wed., Thurs.) a week, at minimum.
Our Mission:
General Motors is undergoing a major transformation, both in how we operate and in how we will influence the future of transportation. As we move towards our ZERO crashes, ZERO emissions, ZERO congestion vision, we are investing heavily in virtual test environments and software-defined vehicle (SDV) capabilities.
The Role:
We are seeking an early-career Software Developer to join the Virtualization and Software-in-the-Loop (SIL) Integration team within the Software Defined Vehicle – Embedded Platforms organization.
In this role, you will help design, build, and deploy Virtual Test Environments (CoSimulation Environments) at system and vehicle level to support development, verification, and validation of embedded controllers and calibrations across domains such as:
Propulsion thermal management
Battery management
Chassis and brake controls
Body electronics and controls (vehicle access, occupant comfort and protection, lighting, visibility, vehicle state)
This is a hands-on role ideal for students or recent graduates with strong software fundamentals, internship/project experience, and an interest in simulation, modeling, and automotive embedded systems . You will work closely with experienced engineers who will provide mentorship and technical guidance as you grow.
What You’ll Do:
As an early-career Software Developer – Virtualization and SIL Integration, you will:
Contribute to the development and integration of co-simulation components to satisfy end-user test requirements.
Help create and maintain virtual controller models to be used across different simulations.
Implement and test virtual controller components such as HWIO, RTOS, and communication models.
Assist in obtaining, developing, and parameterizing sub-system models (sensors, actuators, ECU behavioral models).
Collaborate with development engineers to understand new feature requirements, address issues, and ensure proper implementation in the virtual environment.
Work with System Engineers to help define SIMBOMs (required co-simulation assets) based on test requirements.
Support the integration of plant models and ECU models into dynamic virtual simulations.
Contribute to documentation for each release, including model interfaces, assumptions, and usage guidelines.
Provide first-line support for released simulations (basic troubleshooting, issue triage, and user guidance).
Participate in continuous improvement of tools, scripts, and workflows, including opportunities to leverage Python, SQL, CI/CD pipelines, and cloud technologies .
You will be part of an agile, cross-functional team that includes global partners and internal customers developing the next generation of virtual test capabilities.
Your Skills & Abilities (Required Qualifications):
Bachelor of Science degree in Computer Science, Computer Engineering, Electrical Engineering, or related field
2+ years of software engineering experience
Solid programming skills in at least one of:
Python, C/C++, Java, or Embedded C
Familiarity with software development tools and practices , for example:
Git or similar version control
Issue tracking/Agile tools (e.g., Jira)
Basic understanding of CI/CD concepts (e.g., Jenkins or similar)
Coursework or experience in at least one of the following areas:
Artificial Intelligence and Machine Learning
Computer Security
Data Structures and Algorithms
Development of Web Application
Strong problem-solving skills and the ability to break down complex technical problems into implementable steps.
Effective verbal and written communication, with the ability to work in a collaborative, cross-functional team .
What Can Give You a Competitive Edge (Preferred Skills):
While not required, experience in the following areas will help you stand out—especially through internships, projects, or club work:
Master of Science degree in Computer Science, Computer Engineering, Electrical Engineering, or related field
5+ years of software engineering experience
Exposure to modeling and simulation using tools such as MATLAB/Simulink .
Experience with virtualization or software integration (e.g., integrating multiple services, APIs, or components into a cohesive system).
Familiarity with automotive or real-time systems , including any of:
Basic knowledge of CAN, LIN, SPI, or automotive Ethernet
Understanding of embedded control systems and sensor/actuator interfaces.
Experience with full-stack or backend development using technologies such as:
Angular, React, FastAPI, Node.js, SQL/PostgreSQL
Building and consuming REST APIs.
Experience with data and visualization tools , such as:
SQL, Power BI, or similar analytics/BI platforms .
Familiarity with industry standards such as FMU/FMI, SSP , and/or AUTOSAR Layered Software Architecture .
Participation in technical clubs or leadership roles (e.g., AI/ML clubs, hackathons, engineering organizations) demonstrating initiative, collaboration, and ownership.
Why Join Us
Opportunity to work on cutting-edge virtual test environments central to GM’s Software Defined Vehicle strategy.
Direct impact on the quality and efficiency of embedded software development and validation across multiple vehicle domains.
A supportive environment with mentorship from senior engineers , exposure to cross-functional teams, and clear development pathways.
Hybrid work arrangement balancing collaboration and focused development time.
Join us and help shape the future of virtual development at General Motors as we work toward our ZERO ZERO ZERO vision.
Benefits:
GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.
Relocation:
This job may be eligible for relocation benefits.
The selected candidate will be required to travel <25% for this role.
Design and develop scalable, high-coverage software testing for the ADAS/AV platform.
Analyze diagnostics from a full-vehicle perspective to support efficient triaging and debugging related to ADAS/AV Platform Software.
Build and Maintain hardware-in-the-loop (HIL), software-in-the-loop (SIL), and vehicle-in-the-loop (VIL) testing environments.
Ensure compliance with legal standards and safety requirements, including ISO 26262, SOTIF, FMVSS 111, and FMVSS 127, while improving test coverage and metrics.
Collaborate with Software Infra and application teams to develop new test cases, leveraging expertise in Service-Oriented Architecture, Middleware communication (Pub Sub/DDS/Subspace), diagnostics, Linux and QNX.
Work closely with Software Development and Hardware teams to debug and root-cause issues within Linux/QNX-based ADAS/AV Platform Software.
Create Test automation frameworks, develop test scripts, and execute automated tests to enhance validation efficiency.
Conduct and assist with test result analysis, including FMEA, Root Cause Analysis (Ishikawa/Fishbone Analysis, A-B-A Testing).
Assist in issue triaging, log analysis, and troubleshooting ADAS/AV Platform issues.
Required Qualifications:
Bachelor's degree in electronics, computer science, electrical engineering, a related technical degree, or work equivalent experience.
Minimum of 6 years of professional technical experience
Minimum of 3 years of working experience in Software Verification and Validation.
Strong Programming skills in Python, CAPL, Vehicle Spy and Robot Framework .
Good understanding of Vehicle networks like CAN and Ethernet.
Knowledge of network analysis and debugging tools, Ex: Wireshark, CANoe/CANalyzer, INCA, RAD Galaxy RAD Gigastar.
Ability to understand the requirements and transfer that into Test Scenarios, Situations / Tests, or testable scripts to be used in vehicle simulation environments.
Flexible, dependable, self-initiative, and capable of learning new skills and technologies.
Possess a valid driver’s license and the ability to operate test vehicles
Preferred Qualifications:
Must have hands-on Experience with QNX or Linux based software systems and Embedded programming.
Knowledge in ROS, Linux-based embedded systems, and RTOS environments.
Excellent cross-collaboration and critical problem-solving skills.
Experience in Unified Diagnostic Services (ISO 14229), TCP and UDP .
Knowledge of automotive communication protocols (Ethernet, DDS, CAN, SOME/IP)
Compensation : The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of New York, Colorado, California, or Washington.
The salary range for this role is $153,200- $234,100. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.
Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.
Benefits:
Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.
Work Arrangement
This role is categorized as on-site. This means the successful candidate is expected to be physically located at PATAC, collaborate with the JV, and report to GM in Shanghai, China full time..
The Role -
Lead PATAC Test Labs, Validation and Proving Grounds (T&V&PG) to plan, execute and report vehicle tests and validation for programs under PATAC responsibility. Partner closely with local leadership and global counterparts to define workshare, align technical and operational strategies, and ensure resources, facilities and investments support GM and SAIC business objectives.
Your Skills & Abilities (Required Qualifications)
The Role
We’re looking for a hands-on Staff AI Engineer to build the next generation of analytics experiences on top of trusted telematics, aftersales, and energy data. This role focuses on turning complex data into clear, natural-language answers to important business questions—not generic chatbots or demos, but real systems that help people ask better questions, get trusted answers, and make decisions faster.
You will work at the intersection of AI, analytics, software engineering, and data products—transforming governed datasets and domain expertise into scalable, natural-language intelligence. You will help turn reusable data products into AI-ready experiences that support engineers, analysts, product teams, leaders, customer care teams, service operations, and other users across the enterprise.
What You’ll Do
Your Skills & Abilities (Required Qualifications)
What Can Give You a Competitive Advantage (Preferred Qualifications)
This job may be eligible for relocation benefits.
Company Vehicle: Upon successful completion of a motor vehicle report review, you will be eligible to participate in a company vehicle evaluation program, through which you will be assigned a General Motors vehicle to drive and evaluate. Note: program participants are required to purchase/lease a qualifying GM vehicle every four years unless one of a limited number of exceptions applies.
Compensation:
GM DOES NOT PROVIDE IMMIGRATION-RELATED SPONSORSHIP FOR THIS ROLE. DO NOT APPLY FOR THIS ROLE IF YOU WILL NEED GM IMMIGRATION SPONSORSHIP NOW OR IN THE FUTURE. THIS INCLUDES DIRECT COMPANY SPONSORSHIP, ENTRY OF GM AS THE IMMIGRATION EMPLOYER OF RECORD ON A GOVERNMENT FORM, AND ANY WORK AUTHORIZATION REQUIRING A WRITTEN SUBMISSION OR OTHER IMMIGRATION SUPPORT FROM THE COMPANY (e.g., H-1B, OPT, STEM OPT, CPT, TN, J-1, etc.)
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]]>GM’s Motorsports IT team will analyze, define, and deliver the next generation of cutting-edge Motorsports IT software solutions. Leveraging both state of the art cloud based infrastructure and software development standards, these solutions will enable innovative interactions between GM Motorsports and our GM Race teams to accelerate our drivers to the finish line first! Our combined team of architects, developers, data scientists, and project managers work closely with GM Motorsports Engineering and Race teams to ensure delivery of break-through technologies for NASCAR, IndyCar, F1, and Sports Car GM teams.
The Competition Senior Product Owner will work with broader engineering teams, stakeholders, and partner race team customers to collect software needs then translate into Epics/Features/User Stories/Defects/Workflows/Diagrams/etc. which align with overall Motorsports strategy for Timing and Scoring, Race Strategy, Multi-Media Intelligence, Weather, and Telemetry data. This position will specifically support GM Motorsports race teams across NASCAR and IndyCar.
• Work with Software Development teams to communicate Epics/Features/User Stories/Defects in a consumable fashion to be executed on.
• Translate software product strategies into requirements and roadmaps.
• Manage ongoing changes and cross-team coordination & status.
• Define priorities and help communicate them to key stakeholders.
• Assist other teams through software product development to meet objectives.
• Drive software product releases, coordinating with internal and external stakeholders.
• Leverages market research & continuous exploration to continually understand customer & market- includes competitive benchmarking.
• Track software performance (e.g. analytics) and suggest improvements to customer experience and product strategy.
• Daily management on digital products with strategic mindset upon mid/long term product enhancement.
• 5+ years experience as a product manager, product owner, business analyst, systems analyst, or similar role.
• Bachelors degree (or higher), majoring in Mechanical Engineering/Computer Science/Computer Information Systems/Digital Communication or relevant field.
• Experience with timing and scoring or race strategy software .
• Experience with Jira, Azure DevOps, or similar backlog tracking tooling
• Experience working in an agile delivery environment .
• Proven track record of managing all aspects of a successful product throughout its lifecycle.
• Past experience building software, B2B products, or system solutions.
• Since supporting the race teams is our top priority, this role will require weekend support, occasional travel to races and shops to experience the customers using the application during race events (up to 25%) .
People Skills:
Experience with prioritizing and multitasking.
Strong problem-solving skills and willingness to do what it takes to get the job done.
Strong communication and presentation skills, written and verbal, fluent in English.
Excellent strategic agility – ability to recognize & capitalize on opportunities, identify and avoid threats, and pivot when needed.
Comfortable with communicating to senior executives.
Proven ability to lead and influence cross-functional teams without formal authority.
Extensive knowledge and experience of Motorsports in a particular series (NASCAR/IndyCar/IMSA/WEC/Formula1).
Master's Degree in Mechanical Engineering, Computer Science or related field.
Experience with race strategy and motorsports data analysis.
The Role
The Agentic Data Engineer is a pre‑eminent technical expert who designs, builds, and scales industrial-grade data and AI platforms that power vehicle product engineering all the way from Design through manufacturing and customer support. This role requires deep fluency in data science and agentic AI and is responsible for end‑to‑end technical strategy and execution for Vehicle Product engineering data and intelligent automation.
You will combine deep vehicle product engineering/process understanding with modern data engineering, large-scale distributed systems, and AI/ML literacy to create self‑healing, “agentic” data and decision systems that continuously monitor vehicle design and engineering processes, CAD, detect and explain anomalies, and proactively recommend or execute actions that improve safety, quality, delivery, and cost.
What You’ll Do
Agentic and Intelligent Systems
End‑to‑End Delivery and Impact
Standards, Governance, and Reuse
Leadership, Mentorship, and Influence
Your Skills & Abilities (Required Qualifications)
What Can Give You a Competitive Advantage (Preferred Qualifications)
This job may be eligible for relocation benefits.
Company Vehicle: Upon successful completion of a motor vehicle report review, you will be eligible to participate in a company vehicle evaluation program, through which you will be assigned a General Motors vehicle to drive and evaluate. Note: program participants are required to purchase/lease a qualifying GM vehicle every four years unless one of a limited number of exceptions applies.
Compensation:
GM DOES NOT PROVIDE IMMIGRATION-RELATED SPONSORSHIP FOR THIS ROLE. DO NOT APPLY FOR THIS ROLE IF YOU WILL NEED GM IMMIGRATION SPONSORSHIP NOW OR IN THE FUTURE. THIS INCLUDES DIRECT COMPANY SPONSORSHIP, ENTRY OF GM AS THE IMMIGRATION EMPLOYER OF RECORD ON A GOVERNMENT FORM, AND ANY WORK AUTHORIZATION REQUIRING A WRITTEN SUBMISSION OR OTHER IMMIGRATION SUPPORT FROM THE COMPANY (e.g., H-1B, OPT, STEM OPT, CPT, TN, J-1, etc.)
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]]> Hybrid: This role is categorized as hybrid/remote
Role
As a Senior Systems Data Scientist on the Behavior Validation team within the Autonomous Vehicle (AV) organization, you will play a pivotal role in establishing pragmatic, data-backed methodologies for measuring trust and confidence in AV behavior validation results across both simulation and real-world road testing. Your expertise in data science and engineering will enable you to design and implement frameworks that correlate simulation and road-based outcomes, simplify complex analytical methods, and support production-ready analysis pipelines that inform AV launch and release decisions.
You will collaborate with cross-functional teams—including systems engineers, safety stakeholders, and AI developers—to define confidence metrics, create scalable validation strategies, and ensure that AV behavior meets rigorous safety and performance standards.
About the Organization
The Autonomous Vehicle (AV) organization is dedicated to advancing the development of autonomous vehicles through cutting-edge simulation technologies and robust validation processes. The Behavior Validation team focuses on enabling software launches and continuous release decisions through data-driven verification and validation strategies. Our collaborative environment fosters innovation and excellence, allowing us to push the boundaries of what is possible in AV testing.
What You’ll Do
Develop and operationalize data-driven methodologies for measuring trust and confidence in AV behavior validation results.
Establish correlation frameworks between simulation-based and road-based validation outcomes to ensure consistency and reliability.
Simplify complex statistical and analytical methods into production-ready frameworks for AV behavior analysis.
Design and implement scalable analysis pipelines that support continuous release decisions and AV launch readiness.
Collaborate with engineering, safety, and AI teams to define confidence metrics and validation protocols.
Provide actionable insights through data visualization and reporting tools to inform decision-making for AV behavior validation.
Your Skills & Abilities
Advanced degree in Data Science, Computer Science, Engineering, or related fields.
5+ years of experience in data science and analytics, preferably in safety-critical or complex systems domains.
Strong background in simulation-to-road correlation, statistical modeling, and confidence estimation.
Proficiency in Python, SQL, and data visualization tools (e.g., Jupyter, Looker, Tableau).
Ability to simplify complex analytical methods into practical frameworks for production environments.
Excellent communication skills, capable of translating technical insights into clear, actionable recommendations.
What Will Give You a Competitive Edge
Experience in autonomous vehicle development, ADAS systems, or robotics.
Familiarity with simulation environments and large-scale data analysis.
Proven ability to design confidence metrics and validation strategies for safety-critical systems.
Experience building dashboards and visualization tools for decision-making.
Strong track record of cross-functional collaboration in high-stakes engineering environments.
Compensation:
Benefits:
The General Motors Global IT Organization is seeking to identify highly motivated and qualified individuals for potential future opportunities as a Senior Systems Configurator - SAP Functional Analyst to design, configure, and support SAP solutions that enable our end-to-end value chain across:
Source-to-Deliver / Source-to-Pay (Supply Chain & Direct Material Sourcing and Procurement for Automotive)
Make-to-Ship (Manufacturing & Plant Operations)
Order-to-Delivery (Order Management & Distribution)
This requisition is intentionally broad across SAP specialties, including but not limited to SD, FI-CO, MM, PP, WM, EWM, Ariba Direct Material Sourcing and Procurement for Automotive, and S/4HANA.
You do not need experience in all of the areas listed; we are seeking strong SAP talent across one or more of these modules and encourage candidates to apply even if their expertise is focused in specific domains.
The Role
As an SAP Functional Analyst, you will collaborate with cross-functional teams in Product Lifecycle Management, Global Purchasing & Supply Chain (GPSC), Manufacturing, Logistics, and Order Management to gather requirements and to design, configure, and support SAP solutions that meet business needs across the Source-to-Deliver, Make-to-Ship, and Order-to-Delivery spaces. You will implement scalable SAP processes, ensure solutions align with industry best practices and GM’s IT Solution Delivery Methodology, optimize business operations, support and extend SAP modules, drive process improvements through automation and standardization, and help design and build new SAP-based landscapes that transform how work is done today. You will:
Translate business needs into robust, integrated SAP configurations and functional designs.
Optimize business operations in areas such as Order Management, Pricing, Billing, Supply Chain, Logistics, Direct Material Sourcing & Procurement, Purchasing, Production Planning & Execution, Warehousing, and Master Data.
Support GM’s journey to S/4HANA and SaaS-first solutions, helping rationalize and modernize the SAP and surrounding application landscape.
What You’ll Do
Lead SAP configuration and solution design for core business processes such as Order to Cash, Procure to Pay, Production Planning & Execution, and related workflows.
Oversee financial postings, cost allocations, and supplier collaboration as they relate to your SAP functional domains.
Support sourcing, procurement, supplier management, production planning, logistics, inventory control, warehouse management, and goods movement processes.
Collaborate with business stakeholders, analysts, and technical teams to gather requirements and deliver SAP solutions that are scalable, secure, and aligned with GM standards.
Participate in testing, validation, and deployment of SAP enhancements and new functionalities; ensure strong end-to-end process validation.
Support integration of SAP with external systems, partnering with integration and infrastructure teams.
Help evaluate and rationalize the existing manufacturing, supply chain, and order management application landscape, determining which solutions are integrated with, absorbed into, or retired in favor of SAP S/4HANA and related SAP SaaS solutions.
Participate in SAP upgrades, migrations, and digital transformation initiatives, including S/4HANA and cloud/SaaS adoption.
Apply standard SAP functionality to meet business needs, minimizing custom development while still addressing critical gaps via RICEFW objects.
Contribute to application management and production support, including issue triage, root-cause analysis, and continuous improvement in your functional areas.
Create and maintain process documentation, configuration guides, and training materials to support adoption and reuse.
Mentor junior team members and promote best practices in SAP solution delivery, testing, and operations.
Adhere to organizational IT standards, security protocols, and industry best practices, including relevant regulatory and internal control requirements.
Your Skills & Abilities (Required Qualifications)
Bachelor’s degree in a relevant field (e.g., Computer Science, Information Technology, Engineering, Business Computing, Information Systems, Supply Chain) or equivalent experience.
Several years of hands-on SAP experience, including configuration of one or more relevant modules, for example:
SD Order Management, Pricing, Billing, Order-to-Cash.
FI-CO integration with Supply Chain, Manufacturing, or Order Management.
MM, WM, EWM procurement, inventory, warehouse, and logistics execution.
PP / Manufacturing production planning and execution, plan-to-produce.
DMe/DMC SAP Digital Manufacturing or other digital manufacturing solutions, and integration with plant-floor and logistics systems.
Ariba Direct Material Sourcing and Procurement for Automotive.
S/4HANA functional configuration and extensibility.
Strong understanding of SAP principles and extensibility approaches, including how to design upgrade-safe, cloud-compliant solutions.
Solid business process knowledge in areas such as Order Management, Pricing, Billing, Supply Chain, Logistics, Direct Material Sourcing & Procurement, Purchasing, Production Planning, Warehousing, and Master Data.
Experience supporting integration with other SAP modules and external systems, including familiarity with common interface technologies (e.g., IDocs, APIs, middleware).
Familiarity with software testing, automation, and quality assurance practices; ability to define and execute test plans and support automated/regression testing.
Ability to debug and analyze SAP systems, preferably with some ABAP knowledge to support issue analysis and collaboration with development teams.
Demonstrated analytical and problem-solving skills, with a structured approach to diagnosing issues and proposing options.
Strong commitment to continuous improvement, teamwork, and integrity, including willingness to learn new SAP and cloud capabilities.
What Will Give You a Competitive Edge (Preferred Qualifications)
SAP certification in one or more relevant modules (e.g., SD, MM, PP, WM/EWM, FI-CO, Ariba, S/4HANA).
Experience with SAP Automotive Suite or similar industry-specific solutions supporting OEMs, suppliers, or complex manufacturing.
Familiarity with the SAP Integrated Tool Chain – including Signavio (process modeling), SAP Cloud ALM (CALM), and Tricentis (Tosca) – as well as SAP Fiori and SAP BTP, especially for cloud-based SAP extensions and integrations.
Exposure to SAP AI / analytics capabilities and apply analytics/AI in manufacturing, supply chain, or order management use cases.
Experience with EDI transaction sets (ANSI X12, EDIFACT) and related communication protocols, and/or other integration platforms (e.g., SAP PI/PO, SAP Integration Suite, Sterling, Connect Direct).
Background working with manufacturers, suppliers, or service providers, ideally in automotive or complex discrete manufacturing environments.
Prior consulting experience or working with global stakeholder groups, including experience in regulated environments (e.g., SOX, internal controls, legal/tax requirements).
Hybrid :
This role is categorized as hybrid. The successful candidate is expected to report to Limerick three times per week, at minimum, or as dictated by business needs.
About the Role
At General Motors, we are building software-defined vehicle platforms that will power the future of mobility. We are seeking a Staff Software Engineer to lead the technical direction of DevOps and platform engineering for next-generation infotainment systems across VCU and CCU platforms.
This role combines deep technical execution with cross-functional leadership. You will drive the architecture, implementation, and operational excellence of the build, test, release, and developer productivity ecosystem that enables reliable software delivery at scale. In line with GM's staff-level engineering expectations, this role requires end-to-end ownership, strong architectural judgment, and the ability to influence technical direction across teams without direct authority.
You will partner closely with engineering, release management, quality, infrastructure, and program stakeholders to modernize CI/CD, improve developer velocity, strengthen observability, and raise the quality and reliability bar for infotainment software delivery.
What You'll Do
Define technical strategy and architecture for DevOps, CI/CD, and build platforms supporting VCU/CCU infotainment systems across multiple vehicle programs
Design and optimize scalable CI/CD pipelines for embedded Linux (Yocto) builds, including build orchestration, test automation, artifact management, and release workflows
Improve build performance and reliability through distributed build systems (BuildBarn/RBE), caching strategies, and infrastructure optimization
Automate release processes including branching strategy, versioning, artifact promotion, quality gates, and compliance checks
Build self-service platforms, tooling, and dashboards that reduce manual effort and accelerate delivery for engineering teams
Improve developer workflows through GitHub automation, PR validation, smoke testing, and streamlined feedback loops
Establish end-to-end observability and operational excellence using metrics, logs, dashboards, alerting, incident response, and root cause analysis
Leverage AI/ML techniques for predictive build failures, intelligent test selection, resource optimization, anomaly detection, and proactive incident prevention
Lead cross-functional initiatives from concept to production, including architecture reviews, technical design discussions, and communicating trade-offs to stakeholders
Mentor engineers across DVE on CI/CD best practices, build engineering, and infrastructure patterns
Drive continuous improvement through code reviews, design guidance, process optimization, and participation in hiring and team development
Your Skills & Abilities (Required Qualifications)
Bachelor's degree in computer science, Software Engineering, Electrical Engineering, or related field, or equivalent practical experience.
10+ years of experience in software engineering, DevOps, build engineering, platform engineering, or release engineering roles aligned with staff-level scope at GM.
Proven experience leading large technical initiatives across multiple teams from design through production rollout.
Strong experience designing and operating scalable CI/CD systems and developer platforms.
Deep knowledge of build and automation tooling such as Jenkins, GitHub Actions, GitLab CI, or similar.
Experience with embedded Linux build systems, cross-compilation environments, or complex platform build pipelines.
Strong programming and scripting skills in languages such as Python, Bash, Groovy, or similar.
Experience with cloud and container technologies such as Docker, Kubernetes, and at least one major cloud platform.
Hands-on experience with observability tooling for metrics, logging, tracing, dashboards, and alerting; GM staff roles explicitly emphasize observability and operational excellence for production-critical systems.
Strong architectural thinking across APIs, workflows, integrations, automation, and system reliability.
Demonstrated ability to mentor engineers, influence architecture, and drive execution in a matrixed organization.
What Will Give You a Competitive Edge (Preferred
Qualifications)
Experience in automotive, embedded systems, infotainment, Android Automotive, Linux IVI, QNX, or related domains.
Experience with Yocto / OpenEmbedded and ARM-based embedded platforms.
Experience with distributed build systems, remote build execution, or large-scale build caching.
Familiarity with artifact repositories, static analysis, code quality, and security scanning tools.
Experience building internal developer platforms, self-service tooling, or engineering productivity solutions; this is strongly aligned with recent GM staff platform roles.
Knowledge of compliance, software quality, and release processes in regulated or safety-conscious environments.
Experience with Datadog, Prometheus, Grafana, SonarQube, Artifactory, or similar tooling.
Prior experience working across large-scale programs with multiple repositories, teams, and release trains.
Experience applying machine learning to DevOps workflows such as predictive build failure analysis, intelligent test selection, or resource optimization
Familiarity with AI-powered development tools, LLM-based code analysis, or automated root cause analysis systems
Knowledge of MLOps practices and experience deploying ML models in production CI/CD environments
Experience with AI/ML frameworks (TensorFlow, PyTorch, scikit-learn) for building custom DevOps automation solutions
Compensation : The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of the California Bay Area.
The salary range for this role is between $189,300 and $290,700. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.
Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.
Company Vehicle : Upon successful completion of a motor vehicle report review, you will be eligible to participate in a company vehicle evaluation program, through which you will be assigned a General Motors vehicle to drive and evaluate. Note: program participants are required to purchase/lease a qualifying GM vehicle every four years unless one of a limited number of exceptions applies.
This job may be eligible for relocation benefits.
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]]>We are seeking a Senior Data Engineer to join our Motorsports Data Engineering team , building next-generation data platforms that power high-performance racing programs across Formula 1, NASCAR, IndyCar, IMSA, and beyond.
This role is responsible for designing, building, and operating scalable, real-time and batch data pipelines that ingest high-frequency telemetry, simulation, wind tunnel, and trackside data into our enterprise data platform. You will work at the intersection of cloud architecture, streaming systems, and performance analytics — enabling engineers, strategists, and race teams to make faster, data-driven decisions.
As a senior member of the team, you will own critical components of our Kafka/Flink streaming architecture, Databricks lakehouse implementations, and infrastructure-as-code deployments. You will collaborate cross-functionally with race engineering, software development, operations, and external technical partners to ensure resilient, secure, and high-performance data delivery across environments.
This is a hands-on engineering role requiring deep technical expertise, architectural thinking, and a strong sense of ownership.
Develop data pipelines using Python, Java, and SQL among other tools and technologies.
Update existing software and/or develop new software solutions to address a specific need or solve a particular business problem.
Contribute to development in accordance with appropriate methodologies and application of a repeatable, systematic, and quantifiable approach.
Identify and remediate software issues related to code quality, security, patterns, frameworks, software usability, or end user related issues.
Develop your skills by working closely with peers to ensure code alignment with design patterns and frameworks.
Integrate with other applications and systems.
Automate unit and end-to-end testing of software systems within their domain, focused on software quality and maintainability.
Provide guidance and mentoring of fellow software developers.
Performance tuning, usability assessment, performance improvement, documentation, and ensuring high technical standards are met.
Proficiency in build/release automation solutions.
Minimum 5 years of professional software development experience.
Proficient in Python and or Java .
Experience with event streaming/message broker technologies like Kafka, Event Hubs , or Confluent.
Experience with AWS and/or Azure cloud infrastructure.
Experience deploying, maintaining, supporting containerized applications using technologies like Docker/Kubernetes.
Experience with SQL and NoSQL database technologies like Postgres, Mongo DB and Redis.
Experience writing maintainable, testable, and reusable code.
Experience with Agile development methodologies.
Strong background in software development lifecycle.
Experience with networking and client-server communication (REST, web sockets, gRPC , server-sent events).
Delivering highly scalable, web-based systems, that can support high transaction volumes.
Bachelor's degree in computer science or similar discipline.
Self-starter and quick learner who understands and can adapt to existing software applications.
Previous IT experience within motorsports .
Experience working with streaming telemetry or timing-based metrics.
This role leads the strategy, sourcing, and deployment roadmap for automation solutions that enable Global Purchasing and Supply Chain's (GPSC) manufacturing and logistics footprint. This leader is accountable for developing and executing an integrated automation commodity and technology strategy that reduces total enterprise cost, improves safety and quality, and increases resiliency across GM’s global operations.
This role partners closely with GPSC commodity teams, Manufacturing Engineering, Plant Leadership, GM IT, Finance, Supplier Quality, Logistics & Packaging, and strategic automation suppliers to deliver standard, scalable solutions for equipment, controls, robotics, and related services. The Manager sets clear objectives and owns key performance indicators that directly impact launch readiness, productivity, and capital efficiency, while championing change.
The Manager will lead a team based in Warren, MI, with responsibility for collaboration and influence across regional GPSC and plant locations. Some domestic and international travel is required to engage plants, suppliers, and technology partners.
What You’ll Do:
Team & Talent Leadership
Automation Strategy & Roadmap
Commodity & Supplier Strategy
Automation Program & Project Support
Process, Systems & Data
Stakeholder & Change Leadership
External Engagement & Technology Scouting
Capability Building
Your Skills & Abilities (Required Qualifications):
What Can Give You a Competitive Advantage (Preferred Qualifications):
Work Arrangement:
Hybrid: This role is categorized as hybrid. This means the successful candidate is expected to report to Milford, Michigan three times per week, at minimum.
The Role:
GM is undergoing a major transformation—reimagining how we operate and shaping the future of transportation through electrification, autonomous technology, and software-defined vehicles. At the heart of this transformation is our Vehicle Mechatronics Embedded Controls (VMEC) team, leading the charge with high-impact innovation and cutting-edge software development.
We are looking for a high performing Senior Software System Architect to lead and mentor the VMEC software organization in developing high quality, well architected software for present and future vehicles. In this role, you will be collaborating cross functionally and lead Product Engineering / Agile Release Team (ART) in both strategic and tactical manner on software design, construction, architecture, maintenance, quality and computing foundations.
What You’ll Do:
Define a high-level architectural design for the software owned by the Agile Release Train (ART), comprehending all NFRs and future technical directions thereby enabling the Continuous Delivery Pipeline.
Lead creation of new components, re-architecting software for evolving requirement and improve quality, maintainability, and scalability.
Develop the architectural runway for the ART, comprehending all Enabler Epics, Business Epics, and all System Architect variant architectural roadmaps.
Drive software quality improvements into the software owned by the ART with a focus on Software Structural Quality Assurance (SSQA) and evaluating code for controller resource improvements.
Support Agile framework related planning and work acceptance meetings (PI, Pre-PI, Post-PI, system demos, I&A, architecture sync, etc.)
Drive alignment with other Software System Architects and System Architect variants.
Establish Software Non-Functional Requirements (NFRs) and participate in the definition of the NFRs for the other System Architect variants.
Work with the PMT and operate within an economic framework to analyze the impact of design decisions and help plan both business and enabler work.
Break large architectural initiatives into features and stories that can be executed in the 2-week sprint increments.
Work with the ART Manager/lead to add architectural items to the Definition of Done which affects the acceptance of stories.
Drive organization toward compliance with GM software guidelines/standards/processes and Industry Standards (MISRA/CERT C)
Improve the software and software architecture knowledge of the team. Host Lunch and learns, train and mentor software developers.
Perform other related duties as assigned.
Your Skills & Abilities (Required Qualifications):
BS in Computer Engineering, Computer Science, Electrical Engineering, Mechanical Engineering, or Aerospace Engineering required.
5+ years of experience demonstrating technical and professional skills in job-related area required.
Good understanding of software development process and best practices.
Proficient in C/C++ or similar programming language.
Proficiency in embedded controls and software architecture and design trade-offs.
High level of interpersonal skills to work independently and effectively with others.
Ability to think critically and provide effective solution to complex issue.
Ability to prioritize work with only limited direction from manager.
Ability to train/mentor others.
High level of oral and written communication skills. Ability to communicate intent to leadership and technical details to executing teams.
What Will Give You A Competitive Edge (Preferred Qualifications):
MS in Computer Engineering, or Computer Science, Electrical Engineering preferred.
8+ years of experience demonstrating technical and professional skills in job-related area required.
Experience with architecture design, controller resource utilization reduction, or training.
Experience successfully leading activities/projects with high levels of ambiguity.
3+ years’ experience in C/C++ Programming.
2+ years’ experience in embedded controls and software.
Experience working in Agile Environment.
Familiarity with SDV Architecture.
This is a 2nd shift opportunity- Hours 4pm-1am (M-Fri)
Sponsorship: GM DOES NOT PROVIDE IMMIGRATION-RELATED SPONSORSHIP FOR THIS ROLE. DO NOT APPLY FOR THIS ROLE IF YOU WILL NEED GM IMMIGRATION SPONSORSHIP (e.g., H-1B, TN, STEM OPT, etc.) NOW OR IN THE FUTURE.
On-site: This role is categorized as onsite. This means the successful candidate is expected to report to the Toledo, Ohio plant on a full-time basis. Must be willing to work weekends.
This position may offer relocation assistance.
The Role:
Lead engineer for a group of process engineers responsible for maintaining, improving, and developing manufacturing processes, equipment/tooling alternatives, sequence and flow of operations for the effective utilization of personnel, material, machines and facilities necessary to produce propulsion systems. Work is performed in a focus factory manufacturing engineering activity where a considerable amount of creativity and initiative is exercised as well as a high level of independent judgment.
LEVEL EXPECTATIONS:
A leader of a team within a larger unit/function with members who possess similar skills sets and have similar objectives.
EXPERTISE
- Possesses in-depth knowledge and working experience in the area supervised. Has broad knowledge of related areas and demonstrates good business acumen.
- Serves as a resource to their team for technical expertise, interaction with other teams and departments, and company policies and processes.
- Works independently on driving team results, determines resources to complete team assignments. Receives general management guidance.
COMPLEXITY
- Creates and oversees operational plans for routine activities, which involve analyzing data and resolving issues within their area of responsibility. Utilizes judgment to develop programs, plans, and strategies that align with annual objectives.
- Enhances relationships and networks with senior internal/external partners who are not familiar with subject matter and often require persuasion. Uses data and analysis to demonstrate the value of a project, anticipating, and addressing objections and or concerns.
- Encourages open discussion of development needs on their team to enable mutual support and development regardless of starting place for all team members.
- Actively listens and responds to the concerns and feelings of colleagues in the immediate environments even when not explicitly stated to engage them towards a goal. Engages with subordinates and peer groups, promoting cooperation and interpreting and explaining information for each audience.
- Effectively communicates and presents recommendations and results across several job areas.
SCOPE AND IMPACT
- Challenges and problems are of a diverse scope with multiple moving parts, where developing a plan and viewing the whole picture is a significant challenge itself. Work is done independently and is reviewed at critical points.
- Owns the development and delivery of solutions, driving cross team and group efforts. Leads by example, taking responsibility for their own actions, acknowledging mistakes, and holding themselves accountable for achieving goals. Addresses and evaluates a diverse range of issues using innovative methods and proposing alternative approaches.
- Serves as a mentor to more junior level employees, providing coaching and guidance on difficult issues.
- Actively builds the team with the optimal mix of talent and experience. Makes intentional develop and hire decisions on people. Recognizes and rewards visible development publicly and privately.
- Employee’s impact is significant and spans across their function.
What You'll Do: (Responsibilities)
Your Skills & Abilities (Required Qualifications)
What Will Give You a Competitive Edge (Preferred Qualifications)
Internship assignments in Operations Finance are designed to be robust and deliver meaningful business impact. Internships provide the opportunity to learn about GM’s core business of designing, building, selling, and servicing vehicles.
Potential assignments include: Sales and Marketing, Product Development, Purchasing & Supply Chain, Customer Care & Aftersales, Financial Planning & Analysis, Manufacturing, GM Energy and Digital Business.
The Team:
At GM we are working to change the future of mobility as we progress towards our ultimate vision: ZERO crashes, ZERO emissions and ZERO congestion. Our Global Finance team plays a critical role in the pursuit of these goals, from helping to optimize our current operations to developing strategies and business plans that will drive our future. There has never been a better time to build a career at GM. We are currently looking for individuals to join our Intern program which will represent the next generation of Finance leaders at General Motors.
What You'll Do
Ownership of a strategic, business-impacting project
Mentorship from finance leaders and peers
Exposure to executives across GM Finance
Professional development in financial analysis, Power BI, AI, and storytelling
Participation in case competitions, networking events, and leadership forums
Opportunities to build a network across GM and explore future career opportunities
Required Qualifications:
Pursuit of a Bachelor's and Master’s degree in one of the following areas: Business, Finance, Accounting, Economics, or related fields
Must be graduating between December 2027 and June 2029
Ability to work full-time, 40 hours per week for 12 weeks
What will give you a Competitive Edge (Preferred Qualifications):
Demonstrate leadership in field of study, extra-curricular activities, or service organizations
Collaborate with a diverse team including cross-functional partners
Communicate effectively, possess a high level of integrity, persistence, accountability, trust, and an ability to deal with ambiguity and take action
Prioritize and meet goals in a fast-paced environment
Understand common financial metrics like ROI, NPV, IRR, etc.
Data analysis, learning agility, creative solutioning, and problem solving
Possess Excel skills
GM does not provide immigration-related sponsorship for this role. Do not apply for this role if you will need GM immigration sponsorship now or in the future. This includes direct company sponsorship, entry of GM as the immigration employer of record on a government form, and any work authorization requiring a written submission or other immigration support from the company (e.g., H1-B, OPT, STEM OPT, CPT, TN, J-1, etc.)
Work Arrangement:
Hybrid : This role is categorized as hybrid. This means the successful candidate is expected to report to Warren, MI, three times per week at a minimum.
GM will provide a one-time lump sum taxable stipend payment to eligible students selected for the 2026 Student Program.
To help facilitate administration of relocation benefits if you are selected, please apply using the permanent address you would move from.
Start dates for this internship role are May & June of 2027.
What you’ll get from us (Benefits):
Paid US GM Holidays
GM Family First Vehicle Discount Program
Result-based potential for growth within GM
Intern events to network with company leaders and peers
At GM, our culture is to lead as one team where we collaborate cross functionally to achieve enterprise-wide results. This program will give you the opportunity to work with a diverse group of teams to accomplish our larger goals. In this role you will support and coordinate with multiple facets of the General Motors global portfolio by crafting and implementing timely business solutions. As a member of our team, you will play a key role in solving meaningful and important issues facing our company!
What You’ll Do:
You will collaborate with GM’s globally diverse organizations to assemble data, perform analyses, and present your recommendations to senior GM executives at the end of your internship. In addition to your core work you will have unique networking opportunities with peers, leaders and senior finance executives which will facilitate your visibility and growth within GM. You will also participate in several key activities focused around the “Design/Build/Sell and Services” operations of the company, as well as a case competition, assembly plant tour, and overviews of key areas of finance.
Finance - Accounting roles may include the following:
Controllership roles. specifically in our Corporate or Automative functions, provide candidates with the work experience necessary towards obtaining a CPA license and may include consolidating and reporting company results, analyzing transactions for appropriate accounting treatment, and serving as a strategic business partner to increase transparency, improve efficiency, shorten decision cycle times, and reinforce financial integrity and accountability.
Required Qualifications
Pursuit of a Bachelor’s degree in one of the following areas: Business, Finance, Accounting, Economics or related fields
Must be graduating with a Bachelor’s or Master's degree between October 2027 and June 2028; if pursuing a CPA license, will complete degree + required course work between October 2027 and June 2028
Able to work full time, 40 hours per week during the summer months
What Will Give You A Competitive Edge (Preferred Qualifications)
Demonstrates leadership in field of study, extra-curricular activities, or service organizations
High level of integrity, ability to deal with ambiguity and ability to initiative/self-directed
Evidence of strong character with honesty, accountability, and trust
Ability to prioritize, multi-task, and meet goals in a fast-paced environment
Ability to work well with teams and cross-functional groups
Functional/Technical Skills, Problem Solving, Drive for Results, Decision Quality, Interpersonal Savvy, Strategic Agility, Managerial Courage, Innovative Thinking
Currently pursuing or interested in pursuing CPA license is preferred
Strong Analytical Skills / Fundamental Knowledge of Corporate Finance
Knowledge of corporate finance principles including ability to perform balance sheet, income statement, cash flow analysis, etc.
Familiarity with basic accounting principles or sophisticated accounting principles
Sophisticated excel skills and a willingness to learn new, emerging technologies
Teamwork/Leadership Skills
Ability to work with people within and outside the group, including cross-functional partners
Solves problems and develops new methods of analysis to streamline decision-making
Searches out and corrects inconsistent data; finds and fixes root cause and understands the drivers
GM does not provide immigration-related sponsorship for this role. Do not apply for this role if you will need GM immigration sponsorship now or in the future. This includes direct company sponsorship, entry of GM as the immigration employer of record on a government form, and any work authorization requiring a written submission or other immigration support from the company (e.g., H1-B, OPT, STEM OPT, CPT, TN, J-1, etc.)
Work Arrangement:
Hybrid: This role is categorized as hybrid. This means the successful candidate is expected to report to Detroit or Warren, MI, three times per week, at minimum.
GM will provide a one-time lump sum taxable stipend payment to eligible students selected for the 2026 Student Program.
To help facilitate administration of relocation benefits if you are selected, please apply using the permanent address you would move from.
Start dates for this internship role are May & June of 2027.
What you’ll get from us (Benefits):
Paid US GM Holidays
GM Family First Vehicle Discount Program
Result-based potential for growth within GM
Intern events to network with company leaders and peers
The Role
We are seeking a Senior Full Stack Robotics Data Engineer / Data Scientist to join our manufacturing data organization. In this role, you will help build the data and data science backbone that enables scalable robotics intelligence across manufacturing environments. You will work across data engineering, applied data science, and production software to turn raw robotics data into trusted systems that support analytics, model development, operational insights, and continuous improvement.
This is a senior individual contributor role for someone who is comfortable working across data pipelines, cloud and application development, analytics, and cross-functional problem solving. You will partner with robotics engineers, manufacturing stakeholders, software developers, and other data engineers and data scientists to deliver robust end-to-end solutions that are reliable in production and valuable to the business.
What You’ll Do
Your Skills & Abilities (Required Qualifications)
What Can Give You a Competitive Advantage (Preferred Qualifications)
This job may be eligible for relocation benefits.
Compensation:
GM DOES NOT PROVIDE IMMIGRATION-RELATED SPONSORSHIP FOR THIS ROLE. DO NOT APPLY FOR THIS ROLE IF YOU WILL NEED GM IMMIGRATION SPONSORSHIP NOW OR IN THE FUTURE. THIS INCLUDES DIRECT COMPANY SPONSORSHIP, ENTRY OF GM AS THE IMMIGRATION EMPLOYER OF RECORD ON A GOVERNMENT FORM, AND ANY WORK AUTHORIZATION REQUIRING A WRITTEN SUBMISSION OR OTHER IMMIGRATION SUPPORT FROM THE COMPANY (e.g., H-1B, OPT, STEM OPT, CPT, TN, J-1, etc.)
#LI-CC1
]]>Every day, our products move millions of people as we aim to make driving safer, smarter, and more connected, shaping the future of transportation on a global scale.
The Role
As a Robotic Process Simulation Engineer, you will apply deep technical expertise in manufacturing automation, robotics, and simulation to solve complex production challenges and shape how GM designs, automates, and validates assembly lines. You will lead simulation activities that improve safety, quality, cost, throughput, and launch readiness across GM plants.
This role is ideal for an experienced manufacturing engineer who wants to remain hands-on with digital twins, advanced automation, robotics simulation, and offline programming while influencing the design and launch of future plants and manufacturing systems. From early concept development through Start of Production, you will connect virtual models to real-world requirements and help teams make better, faster, data-driven decisions before equipment is built.
Work may involve the development and testing of advanced process technology.
What You'll Do
Lead the robotic process simulation scope for assigned programs or systems, ensuring virtual models accurately represent real-world requirements, constraints, standards, and plant conditions from concept through Start of Production.
Define, document, and validate simulation requirements. Use virtual models to evaluate and refine tooling, automation concepts, robot reach and motion, line layouts, cycle time, throughput, ergonomics, and process feasibility before physical implementation.
Translate simulation findings into clear technical requirements, recommendations, and actionable inputs for internal engineering teams, manufacturing sites, and suppliers.
Deploy and continuously improve GM Global Standards across projects, enabling common solutions, reusable simulation content, and consistent practices across regions and homerooms.
Lead technical reviews with cross-functional and supplier teams to align on simulation methods, assumptions, risks, constraints, and mitigations. Escalate issues with data-driven recommendations and clearly defined trade-offs.
Collaborate with Manufacturing Engineering, Product Engineering, Controls, IT, Plant Operations, Safety, and other disciplines to align simulation activities with business strategies, engineering standards, and launch objectives.
Support site execution and launch by connecting virtual models to physical implementation, troubleshooting discrepancies, and using simulation outputs to reduce risk related to timing, throughput, ergonomics, quality, and production readiness.
Apply simulation and advanced digital tools to identify constraints, quantify benefits, improve quality and efficiency, and support investment decisions for automation and tooling.
Capture, publish, and reuse lessons learned from completed projects to strengthen continuous improvement, future automation strategies, and the Digital Twin roadmap.
Contribute to the resolution of complex manufacturing problems and help drive scalable solutions across GM manufacturing operations.
Travel to manufacturing and supplier sites as required, approximately 10%.
Your Skills & Abilities (Required Qualifications)
Bachelor’s degree in Mechanical, Electrical, Electronics, Industrial, Manufacturing, or a related engineering field.
Experience in one or more of the following environments:
Automotive OEM or Tier 1 supplier environments.
Software or automation companies with significant exposure to industrial automation, robotics, or manufacturing simulation.
Experience in manufacturing engineering, process design, and process simulation, preferably with Siemens Tecnomatix.
Meaningful experience applying simulation or advanced digital tools in a real manufacturing environment, including studies that influenced tooling, automation, line design, or process decisions.
Thorough knowledge of PLC hardware, software design, and engineering fundamentals.
Ability to read and interpret electrical and mechanical drawings, equipment layouts, and related design documentation.
Working knowledge of robot programming and troubleshooting, preferably with FANUC robots.
Knowledge of plant-floor automation systems and their interfaces with manufacturing operations.
Ability to contribute to the resolution of complex manufacturing problems using structured analysis and sound engineering judgment.
Strong communication, collaboration, and interpersonal skills, with the ability to influence cross-functional and supplier teams.
Ability to learn quickly, build functional expertise, and apply knowledge to new technologies and manufacturing environments.
Project management and site-execution skills.
Ability to travel approximately 10%.
What Will Give You a Competitive Edge (Preferred Qualifications)
3+ years of experience in automotive OEM or Tier 1 supplier environments, and/or software or automation companies with significant exposure to industrial automation, robotics, or manufacturing simulation.
Hands-on experience conducting robot and PLC simulation studies, including the creation, optimization, and validation of offline programs.
Experience with digital twin development, robotic process simulation, virtual commissioning, or advanced manufacturing simulation.
Understanding of robot interfaces with PLCs, line controllers, machines, conveyors, safety devices, and other automation equipment.
Ability to interpret electrical and electronic requirements associated with robotic and automated manufacturing systems.
Knowledge of manufacturing health and safety principles, including ergonomics, safety standards, risk assessment, and guarding concepts.
Experience supporting manufacturing site execution, equipment installation, run-at-rate, launch, or Start of Production activities.
Experience developing reusable simulation assets, standard work, technical documentation, or global engineering standards.
Demonstrated ability to communicate complex technical concepts clearly and influence decisions across engineering, operations, and supplier teams.
#LI-MH1
Provide end-user support for escalated and technical issues, coordinating with business users, Conduent teams, and IT resources to drive issues through resolution.
Apply a deep technical understanding of SAP and its integrations with other GM systems and business areas.
Serve as a subject matter expert on current system functionality and support transformation initiatives by anticipating project risks, identifying corrective actions and resources, and escalating issues when needed.
Manage and prioritize system enhancement requests while balancing business needs with a limited pool of IT resources through influence and indirect leadership.
Partner with the business to simplify processes, improve efficiency, and identify opportunities for continuous improvement.
Prepare and deliver clear, engaging presentations to senior leadership.
Build strong partnerships across business and technology teams to align priorities and deliver practical solutions.
What you’ll bring (Required)
Bachelor’s degree preferred in Accounting, Business Administration, Information Systems, Finance, or a related field.
At least five years of business experience.
Five or more years of SAP experience.
Preferred experience with SAP FI/CO, Ariba, Procure-to-Pay, Accounts Payable, and MM.
Understanding of basic data flows and relational databases.
Strong analytical skills and the ability to solve complex problems.
A demonstrated focus on process improvement and operational efficiency.
Strong interpersonal skills and a commitment to teamwork.
Excellent oral, written, and presentation skills.
Ability to learn quickly, adapt to changing priorities, and operate effectively in a complex environment.
Self-starter who takes ownership, follows through, and exercises sound independent judgment.
Ability to build networks and collaborate effectively across functions.
Location: Hybrid. This role is categorized as hybrid. This means the successful candidate is expected to report to the - Global HQ Warren MI three times per week, at minimum [or other frequency dictated by the business]
Relocation: This role is NOT eligible for relocation benefits.
GM DOES NOT PROVIDE IMMIGRATION-RELATED SPONSORSHIP FOR THIS ROLE. DO NOT APPLY FOR THIS ROLE IF YOU WILL NEED GM IMMIGRATION SPONSORSHIP NOW OR IN THE FUTURE. THIS INCLUDES DIRECT COMPANY SPONSORSHIP, ENTRY OF GM AS THE IMMIGRATION EMPLOYER OF RECORD ON A GOVERNMENT FORM, AND ANY WORK AUTHORIZATION REQUIRING A WRITTEN SUBMISSION OR OTHER IMMIGRATION SUPPORT FROM THE COMPANY (e.g., H-1B, OPT, STEM OPT, CPT, TN, J-1, etc.)
]]>This posting is not for an existing vacancy within the organization and is open to new applications.
AI Disclosure:
As part of the application process, Artificial Intelligence will be used in the hiring process for this role
Remote/ Hybrid: Candidates can be considered anywhere in the country of work, but if someone is within 80 Kms of Markham/ Oshawa Hub, they are required to be onsite 3 days a week.
About The Role:
We are seeking a highly motivated Senior Safety Design Software Architect to join our Software Safety team in the Autonomous Vehicles (AV) organization. As a member of the AV Software Safety team, the Safety Design Software Architect leads and supports safety initiatives in all phases of system development (concept, requirements, design, implementation, verification and validation) for software that is core to our AV systems. You will conduct safety analyses and create runtime safety requirements for components of the AV software stack and will provide guidance to the software development teams to develop and verify safe software solutions for our future vehicles.
What You'll Do (Responsibilities):
Conduct software safety analyses and create runtime safety requirements by collaborating with GM systems and software engineers as well as hardware and software suppliers.
Ensure that software safety requirements are complete, consistent, and aligned to system-level safety requirements.
Support software teams in software design, implementation and testing to confirm that safety requirements are met.
Ensure adherence to GM’s safety and software development processes.
Escalate any unresolved safety-related issues and confirm that the resolution process has been followed.
Lead or contribute to initiatives towards the continuous improvement of the safety and software development processes.
Interface with corporate and industry experts to stay current in safety processes, methods, and tools.
Your Skills & Abilities (Required Qualifications):
A minimum of 5 years embedded systems development experience in safety-critical domains (automotive, aerospace, medical, nuclear)
Demonstrated performance in a position requiring excellent understanding of embedded software implementation details as well as the larger systems picture
Familiarity with ISO 26262 and other functional safety standards such as IEC 61508, IEC 62304, or DO-178C
Full software development lifecycle experience (software requirements, design, coding, verification)
Proficiency in C/C++ embedded programming.
Excellent oral and written communication skills
Ability to work independently and in a team environment, interfacing with GM engineers and suppliers globally
Strong organizational skills with attention to detail
What Can Give You A Competitive Edge (Preferred Qualifications):
Experience performing or evaluating safety analysis methods such as HAZOP, FMEA, FTA, and STPA
Knowledge of software architecture and design patterns
Experience reviewing and/or developing software requirements from system-level requirements
Multi-core programming and real-time operating system experience.
Familiarity with automotive systems and with active safety and automated driving systems in particular
Knowledge of in-vehicle communication networks (CAN, FlexRay, LIN, Ethernet)
Minimum Education Required:
Bachelor’s degree in engineering (Software, Computer, Control, Mechatronics) , Computer Science or related field.
Advanced degrees preferred.
Compensation:
The salary range for this role is $115,000 to $164,600. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.
GM DOES NOT PROVIDE IMMIGRATION-RELATED SPONSORSHIP FOR THIS ROLE. DO NOT APPLY FOR THIS ROLE IF YOU WILL NEED GM IMMIGRATION SPONSORSHIP NOW OR IN THE FUTURE
Benefits:
The goal of the General Motors of Canada total rewards program is to support the health and well-being of you and your family. Our comprehensive compensation plan currently includes the following benefits, in addition to many others:
Paid time off including vacation days, holidays, and supplemental benefits for pregnancy, parental and adoption leave.
Healthcare, dental and vision benefits including health care spending account and wellness incentive.
Life insurance plans to cover you and your family.
Company and matching contributions to a Defined Contribution Pension plan to help you save for retirement.
GM Vehicle Purchase Plan for you and your family.
Statut du poste :
Cette offre ne correspond pas à un poste actuellement vacant dans l’organisation et est ouverte aux nouvelles candidatures.
Divulgation concernant l’IA :
Dans le cadre du processus de candidature, l’intelligence artificielle sera utilisée dans le processus de recrutement pour ce poste.
Télétravail / Mode hybride :
Les candidats peuvent être basés n’importe où dans le pays de travail, mais si une personne se trouve à moins de 80 km des pôles de Markham ou d’Oshawa, elle doit être présente sur site 3 jours par semaine.
À propos du rôle :
Nous recherchons un(e) Architecte principal(e) en conception logicielle de sécurité hautement motivé(e) pour rejoindre notre équipe de sécurité logicielle au sein de l’organisation des véhicules autonomes (AV). En tant que membre de l’équipe de sécurité logicielle AV, l’Architecte principal(e) en conception logicielle de sécurité dirige et soutient les initiatives de sécurité à toutes les phases du développement système (concept, exigences, conception, mise en œuvre, vérification et validation) pour les logiciels au cœur de nos systèmes AV. Vous réaliserez des analyses de sécurité et rédigerez des exigences de sécurité en exploitation (runtime) pour les composants de la pile logicielle AV, et vous fournirez des orientations aux équipes de développement logiciel afin de développer et de vérifier des solutions logicielles sûres pour nos véhicules du futur.
Ce que vous ferez (responsabilités) :
Vos compétences et aptitudes (qualifications requises) :
Ce qui peut vous donner un avantage concurrentiel (qualifications souhaitées) :
Formation minimale requise :
Baccalauréat en génie (logiciel, informatique, automatique, mécatronique), en informatique ou dans un domaine connexe.
Les diplômes de niveau supérieur sont préférés.
Rémunération :
La fourchette salariale pour ce poste est de 115 000 $ à 164 600 $. Le salaire de base effectivement offert à la personne retenue dans cette fourchette variera en fonction de facteurs pertinents pour le poste.
GM N’OFFRE PAS DE PARRAINAGE LIÉ À L’IMMIGRATION POUR CE POSTE. NE PRÉSENTEZ PAS VOTRE CANDIDATURE SI VOUS AVEZ BESOIN D’UN PARRAINAGE D’IMMIGRATION PAR GM MAINTENANT OU À L’AVENIR.
Avantages sociaux :
L’objectif du programme de rémunération globale de General Motors du Canada est de soutenir la santé et le bien-être de vous-même et de votre famille. Notre programme de rémunération globale comprend actuellement les avantages suivants, entre autres :
Porque trabalhar conosco?
Nossa cultura é focada na criação de times inclusivos, onde as diferenças e perspectivas únicas permitem que você possa contribuir com todo seu potencial à medida que prossiga em sua carreira.
Atividades:
General Motors’ Human Interface Design organization creates the digital experiences that power our in‑vehicle software, mobile apps, and branded web platforms.
As a Senior Design Producer on the Design System Governance team, you will lead socialization of operating models, governance rituals, and production workflows that enable designers and cross‑functional teams to build coherent, scalable experiences across these surfaces. You will own cross‑collaborative programs that connect Foundations, design system owners, and product teams to ensure that components, tokens, iconography, and guidelines are not only created and governed consistently, but are also discoverable, adopted, and measured in practice.
You will partner closely with design, product, engineering, brand, accessibility, and content leaders across vehicle operating system, web, and app teams to align roadmaps, manage dependencies, and ensure system changes land cleanly and predictably in product work. You will actively identify design‑system needs and governance gaps, translate them into clear proposals and work streams, and drive decision‑making that maintains consistency across brands, regions, and platforms.
In this role, you will apply proven producer and design operations practices on complex, multi‑team initiatives, often working with considerable autonomy. You will help mature our governance model, define and refine production practices, and mentor other producers and team members in how to operate effectively within the system.
Lead scalable workflows and governance models that improve predictability, velocity, and quality of design delivery across web, mobile, and in‑vehicle experiences, continuously evolving the intake and triage model for design system requests based on signal, data, and partner feedback.
In partnership, own and run design system governance for GM’s web, mobile, and vehicle operating system design systems—including intake, prioritization, decision forums, and release/readout communications—working with senior producers and design leadership to set agendas, drive decisions, and ensure clear outcomes.
Partner with design system owners, Foundations, accessibility, content, and engineering to coordinate component and library releases, track deprecation and migration efforts, and ensure that documentation, guidelines, and patterns support consistent decision‑making and implementation at scale.
Proactively identify design‑system needs and areas of inconsistency across products, brands, and regions; synthesize input from stakeholders, usage data, and product plans into clear problem statements, options, and recommendations for governance and leadership forums.
Drive cross‑collaborative production efforts that span multiple surfaces and teams, including defining milestones, aligning dependencies, managing integrated backlogs, and ensuring that system changes are sequenced and communicated in ways that minimize rework.
Facilitate alignment across design, product, engineering, and brand partners by preparing materials, leading or co‑leading working sessions, capturing outcomes and decisions, and driving follow‑up actions to closure through clear owners, timelines, and status visibility.
Define and maintain checklists, standards, and logistics for quality and release‑readiness activities across design, engineering, accessibility, and content, ensuring that required reviews, sign‑offs, and artifacts are completed before release for Foundations‑ and Governance‑owned work.
Build and maintain transparent tracking systems (for example, roadmaps, work boards, risk and decision logs, and intake dashboards) that provide clear views of priorities, capacity, and progress for stakeholders at different levels of the organization.
Identify and surface risks, dependencies, and blockers early; drive structured resolution paths by organizing follow‑ups, clarifying options, framing tradeoffs, and helping teams set realistic expectations grounded in capacity and sequencing.
Shape and champion standardized tools, workflows, and templates that support multi‑brand, multi‑region design operations, including playbooks and reference materials that make it easier for teams to engage with and adopt the design system.
Co‑create and refine governance and operating rituals—such as grooming, prioritization forums, and cross‑surface release reviews—ensuring they are outcome‑oriented, scalable, and consistently understood by participating teams.
Mentor and coach less experienced producers and design partners on effective production practices, governance engagement, and how to work successfully within and across design system teams.
Bachelor’s degree in design, human‑computer interaction, information systems, business, or a related field, or equivalent practical experience.
7+ years of experience in digital product design operations, production, program or project management, or a related role supporting software or experience design teams.
Proven experience leading cross‑functional initiatives (for example, design, product management, engineering, and brand) delivering digital experiences across web, mobile, or in‑vehicle interfaces.
Demonstrated ability to organize complex, multi‑team work, maintain robust tracking systems, and create clear summaries, plans, and status updates tailored to audiences ranging from practitioners to leadership.
Experience designing and facilitating effective governance and working sessions, including building agendas, framing options and tradeoffs, documenting outcomes and decisions, and ensuring follow‑through.
Strong familiarity with modern design and work‑tracking tools (for example, collaborative design libraries, digital whiteboarding, agile work‑management tools), and the ability to help teams use them consistently.
Excellent written and verbal communication skills, with the ability to translate technical, design, and operational details into clear, actionable language for diverse stakeholders.
Ability to operate with a high degree of ownership in a hybrid environment and reliably report to a designated GM location on the schedule defined by the business.
Experience leading or heavily contributing to a design system, governance model, or shared component library that spans multiple products, brands, or platforms, ideally in a multi‑brand or global context.
Deep familiarity with accessibility standards and inclusive design practices, and demonstrated ability to ensure they are embedded in governance, production workflows, and implementation decisions.
Prior experience in a senior design operations, producer, or program management role within a digital product, software, or creative organization, with accountability for cross‑team delivery and outcomes.
Demonstrated success in fostering collaboration and teamwork across disciplines and organizations, building strong relationships with partners at different levels, and influencing without direct authority.
Proven track record of identifying process and governance gaps, proposing pragmatic improvements, piloting new ways of working, and scaling those that measurably reduce friction and rework.
Ability to navigate ambiguity, break down complex, cross‑portfolio problems into clear steps and sequences, and take intelligent risks while maintaining a focus on quality, customer experience, and business outcomes.
Evidence of strong character with integrity, accountability, and trust, and a consistent record of clear, confident communication in both written and verbal formats when engaging with senior stakeholders.
At General Motors, our product teams are redefining mobility. Through a human-centered design process, we create vehicles and experiences that are designed not just to be seen, but to be felt. We’re turning today’s impossible into tomorrow’s standard — from breakthrough hardware and battery systems to intuitive design, intelligent software, and next-generation safety and entertainment features.
Every day, our products move millions of people as we aim to make driving safer, smarter, and more connected, shaping the future of transportation on a global scale.
The Role:
General Motors is at the forefront of the transformation of automotive with the electrification of our portfolio and the development of leading-edge central compute and autonomous capabilities. Our Semiconductor / Semiconductor Technology Engineering team is a dynamic, high-energy, and innovative group focused on design and commercialization of leading-edge hardware enabling the future of GM’s vehicle architecture.
We are seeking a Senior Hardware Engineer to lead the hardware development of wired connectivity technology, including Serializers/Deserializers and Ethernet-based network solutions. This hardware engineer position is highly collaborative and depends on building strong partnerships with internal teams responsible for electronic control unit (ECU) design, as well as semiconductor partners. The role sits within the Network Technology and Design team in the compute and connectivity organization, reflecting GM’s growing need for hardware design ownership in this domain.
What You’ll Do (Responsibilities):
Collaborate with cross-functional teams within software, mechanical, and manufacturing to ensure successful integration of network technologies into ECU electrical designs.
Perform detailed hardware analysis, including worst-case analysis, signal integrity, and power integrity, for SerDes and Ethernet interfaces and related circuitry.
Troubleshoot hardware issues, perform root cause analysis, and implement robust, long-term solutions across ECUs and associated connectivity hardware.
Conduct design reviews and provide constructive feedback to ensure high-quality, manufacturable designs that meet performance, safety, and reliability targets.
Develop hardware requirements and test specifications for SerDes/Ethernet connectivity and supporting circuitry.
Develop a clear test strategy covering all aspects of development, from component and board-level validation through system integration and production readiness.
Lead bench test execution throughout the development lifecycle, including bring-up, characterization, and debug of prototype and production-intent hardware.
Establish domain expertise for semiconductors and ECU product lines within your scope of responsibility, with focus on wired connectivity technology (SerDes and Ethernet PHYs, switches, and related components).
Manage technology roadmaps in close collaboration with industry leaders and semiconductor partners to ensure GM’s network hardware solutions remain on the forefront of performance, cost, and scalability.
Required Qualification
BS in Electrical Engineering / Electronics / Computer Science
5+ total years of engineering experience at an OEM, OR at a semiconductor supplier, OR at a Tier 1 ECU supplier
3+ years of engineering experience in electronic hardware design and development
Working knowledge of automotive electronic hardware and automotive software architecture
Strong proficiency in circuit design, schematic creation, and PCB layout
Experience in hardware design tools such as Mentor Graphics Xpedition and ORCAD
Experience with lab equipment such as power supplies, oscilloscopes, signal generators, and multimeters
Exceptional demonstrated experience leading projects to completion
What Will Give You a Competitive Edge (Preferred Skills):
Master’s degree in electrical engineering
Industry knowledge with the design and application of different semiconductors
Exceptional collaboration and teamwork skills; demonstrated ability for working across functional and organizational boundaries
Strong problem-solving skills and proven ability to learn quickly
Compensation:
The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of New York, Colorado, California, or Washington. The expected base compensation for this role is: $106,600 - $192,700. Actual base compensation within the identified range will vary based on factors relevant to the position.
Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.
#LI-JK3
]]>This job may be eligible for relocation benefits.
Onsite - This role is categorized as onsite. This means the successful candidate is expected to report to Rochester on a full-time basis.
The Role
We are seeking a skilled Manufacturing Engineer/Program Manager to lead on going and launching products and programs.
This role will be part of the combined Program Management / Product Launch Team. This role may consist of launch or program management work.
The advanced career level Manufacturing Program Manager, able to work autonomously with occasional guidance from supervision. Skilled in sequence and flow of operations for the effective utilization of personnel, material, machines and facilities necessary for the production of parts. Strong organizational skills and leading results through influence. Work is performed in a centralized manufacturing plant where creativity and initiative is exercised as well as independent judgement.
What You'll Do
Your Skills & Abilities (Required Qualifications)
What Can Give you a Competitive Advantage (Preferred Qualifications)
Compensation:
The expected base compensation for this role is: $105,600 - $140,700. Actual base compensation within the identified range will vary based on factors relevant to the position.
Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.
Benefits:
GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.
Staff Product Manager – AV Features
Why join us?
General Motors pioneers the innovations that move and connect people to what matters. We see a world with zero crashes, zero emissions, and zero congestion.
Advanced driver assistance and autonomous driving systems are transforming the vehicle experience. Within GM’s Autonomous Vehicle (AV) Product Management organization, we define and deliver products that connect customer value, technical innovation, safety, quality, and business impact across GM’s vehicle portfolio.
Super Cruise is GM’s foundational hands-free driving technology. GM is continuing to advance this experience by developing compelling, scalable capabilities for a broader set of customers and vehicle programs.
The Role
We are looking for a Staff Product Manager to own the end-to-end vision, strategy, and roadmap for customer-facing AV features across vehicle programs, technology generations, operating domains, and markets. You will define what to build and why it matters to customers and GM, then translate customer needs, safety expectations, technical constraints, quality data, and business objectives into clear product priorities and requirements.
You will work closely with Product Capability, Systems Engineering, Autonomy Engineering, UX/HMI, Safety, Quality, Program Management, Marketing, and vehicle teams to deliver intuitive, trustworthy, and scalable customer experiences. Success requires strong product ownership, systems thinking, technical judgment, and the ability to influence across complex organizations from concept through launch and in-market improvement.
What You’ll Do
Own the product vision, strategy, and roadmap for AV features across vehicle programs, balancing customer value, safety, technical feasibility, cost, quality, timing, and business objectives.
Translate customer insights, competitive intelligence, field feedback, telemetry, quality data, and business objectives into product requirements documents (PRDs), capability definitions, and roadmap priorities.
Partner with Product Capability, Systems Engineering, Autonomy Engineering, UX/HMI, Safety, Quality, and vehicle teams to define customer-facing experiences that are intuitive, understandable, and trustworthy.
Lead cross-functional planning and execution for feature launches, software releases, and in-market iterations, including rollout strategy, configuration, validation, and change management.
Define and monitor success metrics such as customer adoption, engagement, utilization, trust, quality, safety performance, and business outcomes; use research, experimentation, simulator and track studies, fleet data, and in-market insights to guide decisions.
Identify cross-product dependencies, critical risks, and opportunities, and drive mitigation, simplification, or course correction.
Serve as the voice of the customer and communicate product strategy, priorities, decisions, risks, and progress through clear, concise, data-informed narratives to working teams and senior leaders.
Your Skills & Abilities (Required Qualifications)
5+ years of product management or closely related experience, with demonstrated ownership of complex technology products or cross-functional initiatives from concept through launch and ongoing improvement.
Demonstrated experience defining product vision and strategy, building multi-year roadmaps, and translating strategy into clear requirements and measurable outcomes.
Deep understanding of advanced driver-assistance and automated-driving systems, or equivalent experience with complex hardware-software systems, including how system capabilities and dependencies combine to deliver a safe customer experience.
Ability to reason about vehicle, compute, sensing, software, HMI, and operational constraints and translate them into pragmatic product decisions.
Proven ability to lead cross-functional teams and influence stakeholders across engineering, systems, design, safety, quality, program management, marketing, and business functions.
Strong analytical skills, including the ability to derive actionable insights from customer research, simulator and track studies, fleet or telemetry data, qualitydata, and business analysis.
Exceptional written and verbal communication skills, sound judgment, and the ability to make principled decisions when information is incomplete or priorities conflict.
What Will Give You a Competitive Edge (Preferred Qualifications)
Direct experience shipping customer-facing advanced driver-assistance or automated-driving features in production vehicles, or comparable safety-critical products.
Experience with software-enabled vehicle products, over-the-air delivery, feature gating, staged rollouts, or fleet-scale product iteration.
Strong understanding of human cognitive load, situational awareness, driver trust, and human-machine interaction in automated-driving or hands-free experiences.
Experience leading products that integrate vehicle hardware, sensors, compute, HMI, embedded software, and companion or cloud services, with familiarity in safety-case development, validation, launch readiness, or regulatory requirements.
Experience evaluating product cost, hardware simplification, software reuse, platform scalability, system complexity, business cases, or go-to-market strategies.
Master’s or doctoral degree in engineering, business, or a related field.
Hybrid: This hybrid role requires the successful candidate to work at a GM location at least three days per week. Locations include Warren or Milford, MI, or Sunnyvale or Mountain View, CA.
Compensation: The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of the California Bay Area.
The salary range for this role is $134,700 to $245,00. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.
Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.
Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.
Company Vehicle: Upon successful completion of a motor vehicle report review, you will be eligible to participate in a company vehicle evaluation program, through which you will be assigned a General Motors vehicle to drive and evaluate. Note: program participants are required to purchase/lease a qualifying GM vehicle every four years unless one of a limited number of exceptions applies.
#LI-RF1
#GM-AV-1
The Endpoint Intelligence & Automation Engineer is responsible for defining how General Motors measures, understands, and improves the health, performance, and digital experience of end user endpoints across the enterprise.
This role owns the strategy and execution for endpoint telemetry, reporting, and experience insights across computers and endpoint management systems. You will gather and connect data from endpoint platforms, management tooling, support systems, and operational sources to build a clear view of endpoint health, compliance, reliability, and user experience.
You will help establish the guardrails for how endpoint intelligence is collected, interpreted, and communicated — determining what signals matter most, how those signals are correlated, what constitutes a healthy endpoint experience, and how engineering and leadership teams should use that information to make decisions.
This role partners closely with endpoint engineering, platform teams, security, infrastructure, support, and leadership stakeholders to translate endpoint telemetry into actionable reporting, automation, and continuous improvement.
What You’ll Do
Your Skills & Abilities (Required Qualifications)
Preferred Qualifications
What Success Looks Like
Yes - This posting is for an existing vacancy within the organization and is open to new applications. (Backfill)
AI Disclosure:
As part of the application process, Artificial Intelligence will be used in the hiring process for this role
Hybrid - This role is categorized as hybrid. This means the successful candidate is expected to report to Markham three times per week, at minimum [or other frequency dictated by the business].
The Role
As an Infotainment Audio Software Developer, you will be responsible for contributing to the creation, maintenance, and support of all Audio Functionality within the General Motors Infotainment system. Your contributions will enable customers to enjoy a premium audio experience.
What You'll Do
Your Skills and Abilities (Required Qualifications)
Compensation:
The salary range for this role is $ 115,000 to $164,600. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.
GM DOES NOT PROVIDE IMMIGRATION-RELATED SPONSORSHIP FOR THIS ROLE. DO NOT APPLY FOR THIS ROLE IF YOU WILL NEED GM IMMIGRATION SPONSORSHIP NOW OR IN THE FUTURE
Benefits:
The goal of the General Motors of Canada total rewards program is to support the health and well-being of you and your family. Our comprehensive compensation plan currently includes the following benefits, in addition to many others:
Sponsorship : GM DOES NOT PROVIDE IMMIGRATION-RELATED SPONSORSHIP FOR THIS ROLE. DO NOT APPLY FOR THIS ROLE IF YOU WILL NEED GM IMMIGRATION SPONSORSHIP (e.g., H-1B, TN, STEM OPT, etc.) NOW OR IN THE FUTURE.
Work Arrangement:
This role is categorized as hybrid. This means the successful candidate is expected to report to the office four times per week or other frequency dictated by the business.
The Role
Global Manufacturing Engineering at GMTCI is a bridge between Global Manufacturing Plants & Global Product Engineering in getting the Product & Process Right. GMTCI’s strategy is to “Execute Design / Simulation / Virtual / Engineering Workshare for the Globe + Enable Factory for the Future”
This position of Manufacturing Data Analytics Engineer is a Mfg 4.0 initiative in ME Vehicle Systems Automation Group which is primarily responsible for applying Data Analytics techniques on GM manufacturing processes in GM manufacturing plants across the globe to solve complex manufacturing business problems with big data. In this position, the engineer supports critical business operations and decision making through creation domain data exploration, data processing pipeline, and business intelligence reports.
This is primarily a non-travel job. Business travel will be necessary on special requirements and will be for a short duration. Depending on the need, there will be an International Short-Term assignment for 6 months in the first year for training & development.
What You'll Do
Collaborate with plant teams, SMEs, IT departments, and the analytics community to capture, prioritize, and document data analytics requirements, driving measurable results.
Extract data using existing IoT solutions and big data sources, conduct thorough analysis, perform testing, and validate outcomes.
Analyze datasets to identify trends and patterns, interpret and communicate insights to various teams and leaders to enhance and streamline processes.
Apply manufacturing domain knowledge and IoT knowledge to develop proof of concepts to address complex manufacturing challenges.
Propose solutions and strategies to business challenges that drive significant impact.
Monitor the health of data collection pipelines, report issues, and follow up with responsible teams.
Write user stories and frameworks for the IT development team to productize the self developed solutions.
Present complex information through data visualization techniques.
Provide training and guidance to business partners on data analysis methodologies, reporting, and tools.
Your Skills & Abilities (Required Qualifications)
Masters / Bachelor's Degree in Automotive technology, Mathematics, Statistics, Computer Science, or information technology.
4-10 years of experience in any Automotive company or Data Analytics environment.
Proficient in Python (preferred) or any object-oriented programming languages.
Expert in data analysis, including identifying patterns, extracting valuable insights, and providing data-driven recommendations to support decision-making.
Proficient in applying statistical techniques, utilizing analytical tools, and AI/ML/GenAI for given business problem.
Experienced in working with data pipelines, PowerBI, SQL queries, Git, Databricks, Azure cloud services, and DevOps/MLOps/LLMOps.
Familiarity with IoT data collection methods and solutions.
Familiarity with automotive production processes, industrial automation, throughput analysis, and industrial engineering is considered an added advantage.
Ability to learn quickly and adapt to new challenges.
Exceptional collaboration skills and the ability to build strong relationships.
Process-oriented mindset with a focus on efficiency and effectiveness.
Outstanding project management skills within an agile environment.
Demonstrates creativity in problem-solving, thinking dynamically and beyond industry norms, and adapting swiftly to new technical areas.
Proficiency in collaborating with intercultural, multi-disciplinary, and remote teams to achieve functional objectives.
Strong organizational, planning, and prioritization skills, with a meticulous approach to project execution.
Readiness to travel across regions as necessary for project implementation.
No: This posting is not for an existing vacancy within the organization and is open to new applications. (New Head Count)
AI Disclosure:
As part of the application process, Artificial Intelligence will be used in the hiring process for this role.
Hybrid - This role is categorized as hybrid. This means the successful candidate is expected to report to Markham three times per week, at minimum.
The role
We are seeking a highly skilled Staff Software Engineer to join the Virtualization & Embedded Software Development Tools organization.
In this role, you will apply artificial intelligence to improve developer productivity, modernize engineering workflows, and advance toolchain capabilities across embedded software development. You will shape and deliver practical, production-grade AI capabilities that help engineers build, test, analyze, troubleshoot, and support complex software systems more effectively at scale.
This role is ideal for a recognized technical expert who thrives in ambiguity, works independently with broad latitude, influences key technical decisions, and leads large cross-functional efforts with broad visibility. You will partner across CI/CD, virtualization, systems engineering, calibration, platform, and software development teams to identify high-value opportunities and turn them into scalable solutions that improve engineering throughput, reliability, and user experience.
Our organization supports the end-to-end engineering toolchain that enables teams to define, develop, validate, calibrate, and release embedded software and systems. That includes engineering tools, build and test workflows, dashboards, automation, integrations, and engineering support platforms. As part of this team, you will help define how AI can be used responsibly and effectively in real engineering environments to improve speed, quality, and user experience.
What you’ll do
Your skills and abilities (required qualifications)
What can give you a competitive edge (preferred qualifications)
Why join us
This is an opportunity to shape how AI is applied in real-world engineering environments at scale. You will work on high-value problems at the intersection of developer productivity, toolchain modernization, automation, CI/CD, observability, and embedded software development. Your work will help engineering teams move faster, reduce friction, improve quality, and unlock new capabilities across a critical part of GM’s software development ecosystem.
You will join a team that is actively modernizing and scaling core engineering toolchains, including CI/CD robustness, workflow automation, dashboarding and observability, configuration and calibration workflows, and platform evolution. This role offers the opportunity to turn promising AI concepts into reliable, enterprise-ready capabilities that deliver measurable value.
Compensation:
The salary range for this role is $147,000to $196,600. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.
GM DOES NOT PROVIDE IMMIGRATION-RELATED SPONSORSHIP FOR THIS ROLE. DO NOT APPLY FOR THIS ROLE IF YOU WILL NEED GM IMMIGRATION SPONSORSHIP NOW OR IN THE FUTURE
Benefits:
The goal of the General Motors of Canada total rewards program is to support the health and well-being of you and your family. Our comprehensive compensation plan currently includes the following benefits, in addition to many others:
Every day, our products move millions of people as we aim to make driving safer, smarter, and more connected, shaping the future of transportation on a global scale.
The Role:
Key Competencies:
Drive for Results
Dealing with ambiguity
Prioritization and decision-making skills
Action-oriented
Exceptional communication and presentation skills
Customer-focused
Integrity and Trust
Problem Solving
Conflict management
Leading with Influence
What You'll Do (Responsibilities):
Coordinate design and integration of engine, transmission or battery harness.
Utilize Engineering tools and processes to successfully develop routing, select wire guages, connectors, terminals, attachments, coverings and design channels, brackets and/or grommets, as needed. Additionally, collaborate with other engineers to ensure harness is functional and meets requirements.
Effectively achieve program milestones by thorough and rigorous program management, administering and coordinating programs and advising management.
Has knowledge and understanding of aspects of automotive wiring or harness, you will provide engineering judgment and analysis for the design, development and implementation of automotive wiring.
Conduct technical design reviews and initiate applicable drawing reviews
Recommend alterations to development and design to improve quality of products and/or procedures.
Complete and review DFMEAs and DRBFMs for all parts / design changes
Demonstrate designs meet requirements by analysis, development, and validation
Execute and support Peer Reviews per program milestones
Work with component suppliers to meet program imperatives (Quality, Cost and Timing)
Work as part of a diverse team supporting component development including mechanical design, thermal/structural/ and electrical analysis
Work with manufacturing to ensure build ability and to resolve quality requirements
Provide Program Management and execution of deliverables and program team meetings
Work with component suppliers to meet design and timing objectives
You will perform multiple tasks. Lead and likely direct the work of others as a PDT Leader
Travel - Domestic & International, about 10-15%
Your Skills & Abilities (Required Qualifications):
Bachelor's degree in Engineering - Electrical, Mechanical
3+ years' of engineering experience
Understanding of engineering theory
High level of analytical ability where problems are complex
Time management skills to meet agreed upon customer deliverables, able to manage multiple projects
Proficient computer skills including analyzing data, creating presentations
Interpersonal styles and communication skills to work effectively with local and international team members
Technical writing ability to create written engineering evaluation reports
Ability to read, interpret and generate engineering drawings and specifications
Familiarity with CAD and CAE
Ability to travel
What Can Give You a Competitive Edge (Preferred Qualifications):
Master’s degree in Engineering
Experience with Power and Signal Distribution System (PSDS)
Experience with designing & releasing a part
5+ years’ experience with a major automotive OEM
Understanding of GD&T principles
Experience with ‘build to print’ parts – or – experience writing specifications and managing suppliers with ‘build to spec’ parts
Experience with structural, thermal NVH analysis tools
Experience managing suppliers on critical timelines
Design for Six Sigma Certification
Experience with Unigraphics NX
As a Facilities Electrical Engineer at Wentzville Assembly, you will be part of GM’s Global Facilities organization, partnering globally to deliver expert facility solutions and unleashing the capacity of people, machines, buildings, and workspaces.
You will support workplace transformation across the Wentzville Assembly complex, working with an industry‑leading team that designs, builds, operates, and maintains safe, compliant, and cost‑effective facilities and building electrical assets.
You will help engineer and sustain robust industrial electrical systems that support vehicle assembly operations, utilities, and site infrastructure, utilizing advanced technology to drive reliability, energy efficiency, and social and ecological sustainability. At Wentzville, we create the future — not just plan for it.
What You’ll Do
Serve as the single point of contact and owner for facilities needs in your assigned area, ensuring the proper physical operation of manufacturing facilities, including areas where contract services are provided.
Own assigned portions of the plant’s building and utility electrical systems (e.g., medium‑ and low‑voltage distribution, substations, MCCs, lighting, UPS/generators, building power and controls) to deliver safe, reliable operation that supports production and maintenance needs.
Provide technical direction to and oversight of resident business partners and outside contractors, ensuring safe work practices are followed and work is completed to GM standards.
Apply rigorous problem‑solving to electrical and facilities issues impacting safety, quality, throughput, or cost.
Plan and execute capital and expense projects involving building and facilities electrical systems, developing project scopes, estimates, and justifications.
Bid and establish equipment and installation contracts; procure construction management resources.
Ensure compliance with GM standards, codes, and regulatory requirements: Lead and support preventive and predictive maintenance and equipment uptime improvement:
Champion innovation, sustainability, and continuous improvement:
Provide day‑to‑day technical support to skilled trades, contractors, and other engineers:
Support plant safety initiatives and systems:
Participate in and sometimes lead cross‑functional teams, meetings, and reviews:
Your Skills & Abilities
Bachelor of Science degree in Electrical Engineering (or equivalent engineering degree with significant electrical coursework/experience).
Demonstrated technical aptitude for the design, maintenance, and operation of industrial or commercial building electrical systems (e.g., power distribution, protection, lighting, controls).
Experience in project planning, engineering, and execution (scope development, estimates, design coordination, installation, and launch).
Strong analytical and problem‑solving skills, with the ability to break down complex issues and drive to root cause.
Strong interpersonal, teamwork, and communication skills (verbal and written) with the ability to work effectively with skilled trades, contractors, engineers, operations, and leadership.
Demonstrated commitment to electrical safety and safe work practices.
Willingness and ability to support a manufacturing operation, including occasional off‑shift, weekend, and shutdown support as required by the business.
What Will Give You a Competitive Edge
Master’s degree, PE license, or relevant professional certifications in electrical engineering, power systems, or industrial facilities.
Experience with High voltage substations, medium‑voltage (e.g., 13.2 kV) and low‑voltage distribution systems in an industrial environment.
Working knowledge of NFPA 70/70E and related electrical codes and standards.
Experience with arc‑flash analysis, labeling, and mitigation.
Experience with AutoCAD or similar tools for electrical drawings.
Experience in automotive, heavy manufacturing, or large industrial facilities.
Familiarity with CMMS systems (e.g., SAP) and facilities management tools (e.g., CAFM/Archibus).
Experience leading cross‑functional projects and/or directing contractors in an operating plant.
This position reports to the Marketing Manager – Buick Crossovers.
What You’ll Do:
You Skills & Abilities (Required Qualifications):
What Can Give You a Competitive Edge (Preferred Qualifications):
#LI-MO1
]]>Every day, our products move millions of people as we aim to make driving safer, smarter, and more connected, shaping the future of transportation on a global scale.
The Role
As a Zone Manufacturing Engineer, you will own a defined zone in General Assembly and lead it from concept through launch to steady-state production. You will work largely autonomously with occasional guidance, applying your expertise in equipment/tooling, process flow, and material movement to ensure safe, efficient, and high-quality vehicle assembly. This role operates in both centralized manufacturing engineering and plant environments where creativity, initiative, and independent judgment are critical.
What You’ll Do
Zone Ownership & Launch Execution
Lead all new programs, model changes, and current production activities within an assigned General Assembly zone.
Ensure all tooling, conveyors, material handling, and automation requirements for the zone are defined, procured, installed, and validated per launch timelines.
Define all zone-related changes, including product and manufacturing requirements (tooling, workstation setup, facilities, conveyance, etc.).
Develop and maintain visual management for the zone during project installation and validation; lead regular review meetings.
Support build events at the plant, resolve launch issues, and ensure lessons learned from previous launches are captured and applied.
Process & Tooling Engineering
Lead development of robust manufacturing processes, including sequence and flow of operations for effective utilization of people, material, machines, and facilities.
Design, specify, and integrate equipment and tooling, from concept through construction, plant installation, launch, and continuous improvement.
Develop tooling Statements of Requirements (SORs) and manage tooling, stations, or specific technology projects to timing, cost, and performance targets.
Support the design, build, and validation of tools with suppliers; provide technical direction and oversight to external partners.
Ensure design documentation and spare parts planning are completed to support long-term equipment reliability.
Complete all tooling/equipment-related launch tasks and documentation required by the launch team.
Cross-Functional Integration & Planning
Lead interfaces with cross-functional partners (Process, Materials, Product Engineering, Maintenance, Quality, Operations, etc.) to develop and align on common tooling, processes, and standards across the department and related groups.
Participate in product and cross-functional meetings to support product/process interface and manufacturability.
Participate in regular integration planning meetings (install requirements, phasing, pull-ahead plans, conveyance interface, etc.).
Support development of material plans and part presentation for zone process content.
Lead deep-dive reviews of process development and implementation for the assigned zone.
Material Flow & Logistics Integration
Develop efficient material flow concepts and strategies for future material movement into and within the zone.
Support creation of business cases for critical tooling-to-container interfaces and material presentation strategies.
Quality, Risk & Safety
Complete process risk assessments (such as PFMEA) for assigned programs to identify and mitigate process risks.
Support execution of build validation plans and integrate lessons learned into zone designs and processes.
Participate in safety observation activities and partner with safety/ergonomics teams to ensure tools, workstations, and processes meet or exceed company standards.
Systems, Documentation & Governance
Maintain status of process change requests and related documentation in engineering and manufacturing systems.
Support virtual or digital builds to validate process and tooling readiness prior to physical builds.
Maintain zone tooling requirements and cross-check against standard and special tool lists.
Define specialized power tool and fastening requirements and coordinate with appropriate stakeholders.
Ensure maintenance training is on track for all critical equipment in the zone.
Support program financial reviews related to zone tooling, equipment, and process investments.
Work Environment
Work will involve some weekends, holidays, off-shift support, and travel, which may be extensive at times during product program launches.
Your Skills & Abilities (Required Qualifications)
2–4 years of experience in Manufacturing.
Bachelor’s degree in engineering or a related technical field; equivalent relevant manufacturing experience will be considered in lieu of a degree.
Demonstrated ability to solve complex problems independently and drive issues to resolution.
Strong written and verbal communication skills, with the ability to influence and collaborate across functions and levels.
Proven ability to manage multiple, highly complex projects and assignments with a high degree of autonomy and accountability for results.
Demonstrated initiative in going beyond assigned work to improve outputs and support others.
Strong project management skills (planning, risk management, stakeholder alignment, and execution to timeline).
Flexibility with changing work hours and environments to meet project timelines and support plant operating schedules.
Willingness and ability to work weekends and holidays as required.
Ability to travel, sometimes extensively, during product program launches.
Demonstrated analytical ability and interpersonal skills to build relationships, solve problems, and resolve issues with team members and stakeholders.
What Can Give You a Competitive Edge (Preferred Qualifications)
1–2 years of experience in the automotive industry.
Extensive knowledge of company safety and design standards.
Experience with:
General Assembly tooling, conveyors, and automation.
Development and application of PFMEA or similar risk assessment tools in launch environments.
Digital build tools and manufacturing engineering systems, including standard tooling and equipment databases.
#LI-MH1
The Formation and EOL Quality Engineer is responsible for establishing and leading product and process quality assurance for formation, aging, and end-of-line testing within the Battery Cell Development Center (BCDC).
This role defines critical quality characteristics, acceptance criteria, control strategies, reaction plans, and lot disposition standards to ensure safe, reliable, and conforming cells through pilot and scale-up activities. The role serves as the independent quality voice for formation and EOL operations, partnering with process engineering, manufacturing, and cell design teams to prevent defects, reduce escape risk, and drive robust corrective actions.
What You'll Do
Your Skills & Abilities (Required Qualifications)
What Will Give You A Competitive Edge (Preferred Qualifications)
Work Environment
At General Motors, our product teams are redefining mobility. Through a human-centered design process, we create vehicles and experiences that are designed not just to be seen, but to be felt. We’re turning today’s impossible into tomorrow’s standard —from breakthrough hardware and battery systems to intuitive design, intelligent software, and next-generation safety and entertainment features.
Every day, our products move millions of people as we aim to make driving safer, smarter, and more connected, shaping the future of transportation on a global scale.
The Role
Join the innovative and high‑impact Planar Motion Coordination team within Global Systems Engineering, Safety, and Validation as a Systems Integration Validation Engineer. Our team defines and delivers torque distribution (mechanical AWD/4WD, eAWD, eLSD, etc.), traction control, and vehicle dynamics state estimation systems and safety cases that shape how every GM vehicle performs on the road.
In this role, you will lead end-to-end integration and validation of these systems across vehicle programs and architecture variants. This includes system-level test case definition, safety/functional/performance/robustness testing via virtual/hardware-in-the-loop (HiL)/vehicle assets, issue identification & resolution, and system readiness assessments.
What You’ll Do
Lead system integration for specific program applications, ensuring system performance meets key program development milestones
Ensure final product meets requirements via direct testing or aggregation of decomposed tests
Conduct exploratory evaluations and robustness testing beyond requirements to ensure our product meets or exceeds customer expectations
Generate system development and validation plans that utilize behavioral modeling, Software-In-the Loop (SIL), Hardware-In-the-Loop (HIL), and vehicle assets
Setup data acquisition and instrumentation to perform detailed analysis on their output
Define system-level tests for all integration, automated regression testing, and validation activities for assigned systems
Support system engineers and system safety engineers during requirement development through modeling, vehicle experiments, and competitive benchmarking.
Support cross functional teams with system expertise to ensure coordinated execution and a high-quality result
Minimum Qualifications
Bachelor’s degree in Engineering, Mathematics, Computer Science, Physics or related field of study.
2+ years of relevant engineering experience, ideally in automotive vehicle dynamics or propulsion
Possess a valid driver’s license and be comfortable performing advanced driving maneuvers such as high lateral acceleration turns or maneuvers on an icy surface.
Travel as required (~5%, occasional day trips and 1-2 weeks of off-site winter testing)
Preferred Qualifications
Experience with vehicle dynamics, vehicle motion controls, driveline systems, chassis controls, calibration, or vehicle integration.
Experience with vehicle development, including instrumentation, data acquisition, fault insertion, and test execution
Experience with virtual development (MiL, SiL, HiL, DiL) and custom tool development via coding (C, Python, etc.)
Knowledge of distributed real-time control systems, embedded software development, automotive networks, diagnostics, Ethernet/CAN/LIN, DTCs, and logs.
Experience with GM requirements, validation, evidence-management, and issue-tracking tools; familiarity with safety, regulatory, or compliance evidence.
Experience conducting advanced maneuvers or already possess advanced driving certification
As the Paint Production Business Manager , you will lead paint shop production and daily operations at Fairfax Assembly. You will be responsible for delivering safe, stable, and efficient manufacturing performance while developing people and maintaining strong cross-functional partnerships. This role works closely with production, maintenance, quality, material planning, engineering, and manufacturing leadership to meet operational, cost, quality, and delivery objectives. Your leadership will help ensure the paint shop consistently delivers vehicles that meet GM standards and customer expectations.
What You’ll Do
Lead daily paint shop production activities, including staffing, work assignments, escalation management, and production recovery.
Establish operating priorities and monitor performance against safety, quality, throughput, schedule attainment, labor, and cost targets
Develop and coach frontline leaders and team members to build accountability, technical capability, and a strong culture of continuous improvement.
Partner with maintenance, quality, manufacturing engineering, material planning, and logistics teams to resolve constraints and prevent recurring issues.
Ensure adherence to standardized work, operating procedures, environmental requirements, and GM manufacturing systems.
Use production data and root-cause problem solving to identify losses, implement countermeasures, and sustain measurable improvements.
Communicate shop-floor conditions, risks, and recovery plans to plant leadership and coordinate timely decisions across shifts.
Your Skills & Abilities
Five or more years of experience in manufacturing, production operations, or a related industrial environment.
Experience leading people in a manufacturing or other high-volume operational setting.
Demonstrated ability to manage daily production performance across safety, quality, delivery, cost, and people measures.
Experience using structured problem-solving methods, performance metrics, and data analysis to improve operations.
Ability to work onsite in a fast-paced manufacturing environment and support the operating schedule required by the business.
Strong written, verbal, organizational, and cross-functional communication skills.
Candidates must meet all required qualifications to be considered for this position.
Flexibility to work any shift, including weekends and overtime as required
What Will Give You A Competitive Edge
Bachelor’s degree in engineering, manufacturing, business, operations, or a related field
Experience in automotive manufacturing, vehicle assembly, or paint shop operations.
Experience leading production across multiple shifts or in a 24/7 manufacturing operation.
Familiarity with paint shop processes, including pretreatment, electrocoat, primer, basecoat, clearcoat, or paint quality systems.
Experience with lean manufacturing, standard work, layered process audits, and continuous improvement systems.
Experience developing frontline leaders and leading engagement, quality, or operational excellence initiatives.
Proficiency with manufacturing execution systems, Microsoft Office, and data visualization or reporting tools.
Experience managing cross-functional improvement projects from problem definition through sustained results.
Every day, our products move millions of people as we aim to make driving safer, smarter, and more connected, shaping the future of transportation on a global scale.
The Role
As we advance toward our vision of ZERO emissions, ZERO crashes, and ZERO congestion, we are seeking a highly motivated and hardworking Program Validation & Safety Engineer (PVSE) to join our Global Product Validation Team.
Our mission is to deliver validated, regulatory compliant, and safe vehicles by proactively identifying and mitigating risks throughout the vehicle development process. In this role, you will be the digital and analytical backbone of the validation team. You will continuously transform our processes to maximize efficiency, build robust tracking mechanisms, and drive accountability using tools like Jira and Power BI. Your work will provide the PVSE organization with the data clarity needed to confidently assess DVUL and timely sign the Product Validation Completion Letter (PVCL).
What You'll Do
Data Analysis & Dashboard Creation: Develop, maintain, and optimize validation KPI dashboards (e.g., Power BI, Maxis) to track Program Validation metrics, and VDC readiness. Use Python and cloud-based analytics platforms (e.g., Databricks) to automate data pipelines, perform advanced analytics, and enable AI-assisted insights that highlight trends, risks, and process bottlenecks for leadership review. Build and maintain Google Sheets–based tools (e.g., queries, pivot tables, formulas, and basic scripting/automation) to support rapid analysis and easy sharing of validation data. Maintain and update SharePoint sites, GDocs, and other data repositories with ILM requirements.
Jira & Workflow Management: Serve as the primary process administrator for the validation team. Create and manage Jira workflows, Kanban boards, story cards, and 30-60-90-day lookahead templates that allow Validation Owners (DREs/SIVEs) to easily status their tasks.
Process Creation, Training, and Optimization: Lead the development of validation standard work, training materials, and process "cheat sheets". Act as an educator to the broader team to ensure high adoption of new tracking systems, AI-assisted workflows, and data-driven decision tools. Champion continuous improvement efforts by applying Lean Six Sigma problem-solving and change management methodologies.
Key Deliverables
Optimized Validation KPI Dashboards (Power BI) and Jira Kanban Boards.
AI-enabled analytics and automation that reduce manual effort and improve risk visibility.
Continuous improvement and documentation of validation standard work and processes.
Google Sheets–based tools and templates that enable scalable, easy-to-maintain validation tracking.
Continuous improvement and documentation of validation standard work.
Your Skills & Abilities (Required Qualifications)
Bachelor’s degree in Engineering, Computer Science, Information Technology, Data Analytics, or a related field.
3+ years of experience in a relevant technical, data analysis, or validation role (excluding co-op/internship experience).
High proficiency in Jira (workflow creation, board management) and Power BI (dashboard development, data modeling) .
Hands-on experience with Python for data analysis, automation, or scripting.
Experience working with spreadsheet and collaboration tools such as Excel and Google Sheets to integrate, cleanse, and transform data from multiple sources.
Strong business acumen and the ability to summarize complex information from multiple sources into actionable metrics and clear dashboards.
Excellent organizational and time management skills, with the ability to propose process solutions using existing procedures.
What Will Give You A Competitive Edge (Preferred Qualifications)
Experience with validation processes, regulatory compliance, or development vehicle usage levels (DVUL).
Familiarity with GM engineering systems and processes (PRTS, DVUL, ECR, SQMS, Maxis).
Experience identifying technical/timing risks and conducting critical path analysis using data-driven methods.
Experience with Databricks, cloud analytics, or similar platforms for large-scale data processing and model development.
Formal training or certification in Lean Six Sigma (e.g., Green Belt or higher) and demonstrated application of continuous improvement methodologies.
Proven understanding of engineering organizations and the ability to collaborate with technical resources to resolve process differences.
Recognized as an innovative, detail-oriented, and self-motivated team player who thrives on bringing structure to ambiguous data.
The VMEC Analytics team turns data and AI capability into direct business impact across six connected value streams: Data (access and pipelines), Insights (analytics output), Models (reusable intelligence), Tools (products and platforms), Services (investigations and support), and Enablement (guidance and governance).
The Role
General Motors is seeking a highly motivated and qualified candidate for the position of Data Analyst within the Vehicle Mechatronic Embedded Controls (VMEC) Analytics team. This role sits at the Application/Delivery stage of our analytics lifecycle - the front-line translator between business needs and analytical output.
As a VMEC Data Analyst, you will own customer-facing delivery: turning model outputs and data into usable tools, dashboards, and investigative insights. You will serve as the primary point of contact for partner teams, helping them get value from shared platforms and analytical products. This is a delivery and usability-focused role - you will consume model outputs and APIs to drive business impact.
This role sits within a horizontal support team that serves a wide range of partners simultaneously - spanning product development, business operations, warranty, quality, program management, and more. Success here requires breadth over depth - managing competing priorities across partners, context-switching fluidly between domains, and consistently delivering value to a diverse set of stakeholders rather than going deep on a single area.
What You'll Do
Your Skills & Abilities (Required Qualifications)
What Can Give You a Competitive Edge (Preferred Qualifications)
O que você irá fazer (responsabilidades):
Gerenciar, resolver, documentar e concluir casos que envolvem o atendimento à clientes, dentro do prazo necessário.
Construir e perpetuar o relacionamento dos clientes com a marca Chevrolet através do Departamento de Serviço das concessionárias.
Assessoria consultiva junto as concessionárias através das atividades:
Aumentar o índice de satisfação do cliente.
Resolução de problemas, promovendo a execução correta dos serviços.
Promover negociações que permitam a relação ganha-ganha entre clientes, concessionárias e GM.
Gerenciamento de conflitos.
Análise de solicitações de atendimento em garantia.
Desempenho de execução das companhas de serviço (recalls).
Adequação de treinamento e capacitação dos técnicos.
Análise e rápida solução para veículos imobilizados na oficina.
Controle ferramentas especiais e de uso geral.
Suporte ao departamento jurídico / participação em audiências judiciais e Procon
Localidade: São Caetano do Sul/SP
Suas habilidades e competências (qualificações obrigatórias):
Formação: preferencialmente Engenharia Mecânica ou Elétrica, Tecnólogo.
Possuir CNH e dirigir (mandatório).
Conhecimento técnico de veículos e experiência no atendimento a clientes é mandatório.
Bons conhecimentos do pacote Office (Word, Excel, Power Point, Power BI).
Inglês intermediário (desejável).
Ter conhecimento ou experiência com as operações de serviço e peças de uma concessionária é um diferencial.
Gerenciamento de tempo e prioridade de entrega de serviços críticos
Disponibilidade de viagens nacionais.
Região de atuação: São Paulo.
#LI-AS
]]>Using advanced math-based tools, simulation software, and digital verification methods, you will evaluate weldability, accessibility, sealing, part handling, and overall body-in-white (BIW) manufacturability throughout the vehicle development process.
You will serve as a technical bridge between Product Engineering, Stamping, Body Manufacturing Engineering, and Manufacturing Integration. Your analysis will provide early, actionable feedback that reduces design changes, prevents downstream manufacturing issues, and enables high-quality, high-volume production.
This role is ideal for an engineer who enjoys digital validation, complex problem-solving, and influencing product design through data-driven manufacturing insight.
Use Siemens Teamcenter, TcVIS, NX, and Tecnomatix Process Simulate/Designer to evaluate compliance with Body Manufacturing Requirements.
Assess weldability, sealing, weld-gun access, part handling, and overall BIW manufacturability.
Perform manual virtual analyses when automated tools are unavailable.
Identify requirement gaps, feasibility concerns, and manufacturing risks.
Create and publish manufacturability issue reports for Product Interface, Stamping, Body Manufacturing Engineering, and Product Engineering teams.
Develop KPI charts at defined math synchronization points to track requirement compliance, design maturity, and open actions.
Clearly communicate findings, risks, and recommended actions to cross-functional stakeholders.
Support virtual manufacturing studies evaluating product placement and compatibility within manufacturing facilities.
Analyze robot reach, station constraints, sequencing, access, and other manufacturing considerations.
Validate interbuildability and cross-program compatibility at math-based checkpoints.
Review design updates and coordinate feedback between Product Engineering and Manufacturing Engineering.
Recommend process-friendly design improvements and manufacturing-driven engineering changes.
Manage virtual analysis activities to meet program milestones and vehicle development timing.
Bachelor’s degree in engineering or a related technical field.
Experience with Siemens Teamcenter, TcVIS, NX, and/or Tecnomatix Process Simulate/Designer.
Strong analytical and problem-solving skills, including experience evaluating manufacturability in digital environments.
Ability to learn and apply new math-based and virtual analysis tools quickly.
Ability to manage competing priorities and deliver accurate analysis aligned with program timing.
Strong communication and cross-functional collaboration skills.
Body shop launch experience or exposure to BIW manufacturing processes.
Experience with BIW tooling design, joining processes, or manufacturing requirement development.
Experience with math-based processes and virtual simulation workflows.
Robot simulation experience using Process Simulate or an equivalent tool.
Familiarity with GMNA Manufacturing Standards, Body Manufacturing Requirements, and GVDP deliverables.
Coding or scripting experience in C++, Visual Basic, Python, or similar languages to automate math checks or customize analysis tools.
Experience applying artificial intelligence to improve engineering or manufacturing processes.
Work Arrangement: This role is categorized as hybrid. This means the successful candidate is expected to report to the office four times per week or other frequency dictated by the business.
The Role
This position is based at GM Technical Centre India - Bengaluru, where our teams focus on manufacturing engineering in Automation. We specialize in designing, developing and operationalizing complex integrated production systems to deliver cost-effective solutions with highest standards of quality.
Automation work categorize into 2 types, Execution & Development.
During Execution role, The Controls engineer will be primarily responsible for execution of all Controls related projects in various capacities at GM plants across the Globe with respect to Safety, Delivery, Quality, Cost and Performance. In this position the Engineer will perform offline designs and online execution on various new or existing product programs across our portfolio. The incumbent will need to possess a broad technical knowledge, combined with creative and independent thinking and conceptual ability.
During Developmental role, the Controls Engineer will be responsible to work along with Regional & Global team/SMEs to develop & maintain engineering standards work related to Hardware/Software templates, e-tools, etc.
This position will be based out of GM Technical Center India in Bangalore and involves travel opportunities across different regions for project execution.
What You'll Do
Supervise and control projects including project scope, issues, risks and schedule. Handle issues to closure. Communicate project status and ensures all internal customers are aware of progress through project meetings, status reports and reviews.
Participate in Investment studies, preliminary design discussions for any new or expansion projects.
Responsible for inhouse engineering on Hardware designs, software designs, Emulation, Integration & Commissioning at site.
If its Turnkey project, Guide & approve Hardware/ Software designs done by contractors for various project in the region. Conduct offline testing & Buyoff at supplier’s site.
Implement GM Global tools for design of hardware & software to ensure minimum debug on site. Train suppliers and Engineers of other GM units.
Validate designs and provide feedback to Global Centre w.r.t GM standards.
Responsible for deploying GM Global standards across all projects.
Responsible for training and Integrating Suppliers to enforce to GM standards.
Responsible for performing Root cause analysis.
Prepare & Share lessons learnt for the projects completed.
Coordinate project timing schedule, design deliverables and safety aspects with team. Jointly conduct test runs for equipment at site as per process.
Coordination with other units of GM (worldwide) for Global projects.
Develop & Maintain components in Emulate 3D (Electrical & Mechanical)
Develop Electrical & Mechanical models using Emulate 3D
Thorough knowledge of Plant Floor System related to Automation.
Your Skills & Abilities (Required Qualifications)
Masters/ bachelor's degree in electrical engineering / Electronics Engineering / Instrumentation Engineering.
10+ years' experience in any Automotive companies or Software Companies with Automation background.
In depth knowledge of control systems and/or control systems in automotive assembly plants
Knowledge on PLC, HMI, Drives, Networks along with strong programming skills preferably Rockwell PLC.
Project management and site execution skills.
Thorough knowledge of Rockwell PLC software, Siemens HMI software as well as interfaces to other controls systems
Knowledge of Emulation softwares like Emulate 3D, etc
Knowledge of Machine Vision hardwares/softwares (Matrox)
Thorough knowledge of PLC hardware and software design and engineering
Knowledge of design for health and safety will be helpful
Knowledge on equipment selection, cost estimation, material procurement is an advantage
Should be able to read Electrical/mechanical drawings, layout and have design capabilities.
Acquaintance with Eplan for hardware design and experience on Siemens HMI will be an added advantage.
Ability to understand legacy equipment & propose solutions in case of upgradation.
Knowledge of interface to upper level systems.
Basic Knowledge on programming skills such as XML, C#, J Script, VBA, Python etc..
Knowledge on Robot Programming and troubleshooting, preferably FANUC Robots
Knowledge on Robotic applications like spot-welding, arc-welding, dispensing, roller hemming etc.
Acquaintance with Robot simulation studies and experience on Robot simulation software will be an added advantage.
Robot interface with other equipment (PLC, Line Controller, Other Machines etc). Experience in large BIW projects. Ability to understand electrical and electronic requirements for mechanical equipment’s.
What Will Give You A Competitive Edge (Preferred Qualifications)
Good communication and interpersonal skills.
Quick Learning & functional expertise.
Project management and site execution skills
Ability to work with intercultural, multi-disciplinary & remote teams to achieve functional goals.
Ability to organize, plan, prioritize and execute projects with a keen attention to details.
Willingness to travel across regions for executing projects.
In-House Hardware and Software controls experience is preferred
Position Summary
The role is responsible for manufacturing accounting, logistic costs, financial controls, and reporting activities. This person ensures accurate financial records, supports monthly and quarterly close processes, evaluates accounting impacts of business decisions, and helps maintain compliance with accounting standards, internal control requirements, and external reporting obligations.
This position works closely with finance, operations, shared services, and other business partners to support sound decision-making, improve processes, and strengthen financial governance across manufacturing operations.
Key Responsibilities
· Perform general ledger activities with accuracy, timeliness, and compliance with professional accounting standards and generally accepted accounting principles.
· Identify, interpret, and assess potential accounting risks and issues.
· Research and analyze accounting transactions, contracts, and business events to determine the appropriate accounting treatment.
· Partner with finance and business teams to evaluate the accounting implications of transactions and operational decisions.
· Perform analytical reviews to support material business decisions and financial conclusions.
· Evaluate current accounting practices and recommend process improvements to increase efficiency, accuracy, and control.
· Support internal and external financial reporting activities, including analysis of consolidated results, preparation of management review materials, and coordination of reporting timelines.
· Research and interpret new accounting standards and determine how they apply to General Motors.
· Analyze logistics cost flows (in line with operational logistic and customs strategies) and ensure proper accounting treatment.
· Support compliance with quarterly and annual external reporting requirements.
· Help ensure high-quality reporting through timely review, analysis, and coordination across stakeholders.
· Execute and maintain internal controls and financial procedures in line with Sarbanes-Oxley requirements and company policies.
· Support compliance with logistic costs control policies and accounting governance requirements.
· Identify control gaps, recommend corrective actions, and help strengthen the overall control environment.
· Support finance transformation and efficiency initiatives, including system improvements and regulatory change implementation.
· Drive improvements in accounting processes, reconciliations, reporting quality, and control execution.
· Promote standardization, transparency, and stronger process discipline across logistic costs accounting activities.
· Support internal and external audits internas e externas, assegurando resposta tempestiva às demandas.
Qualifications Required
· Undergraduate degree in accounting with active Regional Accounting Council registration (CRC)
· Strong knowledge of manufacturing accounting, logistic costs accounting, and financial reporting.
· Experience with monthly close, reconciliations, cost analysis, and internal controls.
· Ability to interpret accounting standards and apply them to business transactions.
· Strong analytical, organizational, and problem-solving skills.
· Ability to work across functions and communicate clearly with both finance and non-finance stakeholders.
· Experience managing deadlines and balancing multiple priorities in a complex environment.
· Experience with SAP applied to Accounting/Costing
· Knowledge of modernization and automation tools such as Python, Power BI, and artificial intelligence solutions to improve analysis, reporting, and process efficiency.
· Advanced or fluent English with excellent written and oral communication skills.
· Strong computer skills.
Preferred
· Spanish (intermediate to advanced)
At General Motors, our product teams are redefining mobility. Through a human-centered design process, we create vehicles and experiences that are designed not just to be seen, but to be felt. We’re turning today’s impossible into tomorrow’s standard —from breakthrough hardware and battery systems to intuitive design, intelligent software, and next-generation safety and entertainment features.
Every day, our products move millions of people as we aim to make driving safer, smarter, and more connected, shaping the future of transportation on a global scale
Job Description:
As a Sr. Design Re lease Engineer - Propulsion Controller Hardware , you will be responsible for releasing parts and subsystems for production. You will also lead in gathering, negotiating, updating, and documenting requirements for the assigned product and will be the single-point contact between GM and the supplier. As a Design Release Engineer, you will participate in highly complex problems using quantitative and qualitative data to find solutions with a blend of program management and technical leadership. You will lead and develop strategic solutions to achieve business initiatives for safety, warranty, cost, and quality.
This position is specific to the Propulsion Control Module (PCM) role within the Mechatronic Hardware Team. The team leads a production level group that supports the definition, design, development of vehicle hardware and works closely with the software team. This means that you can potentially put a fingerprint on the vehicles that drive down the road! This space is ripe with technical leadership opportunities for advanced technology development as well as the ability to provide mentorship for new employees. This is a position where you can flex your teamwork muscles as you will be tasked with working with several other areas of engineering and the business. You will be a member of a product development team that is focused on the delivery of an Engine and Propulsion control module for deployment to one or more of GM’s future ICE based vehicle platforms.
Role and Responsibilities
Own and release responsibility for a fully integrated hardware that is on-time and with high quality.
Lead Controller change negotiations with suppliers and internal key stakeholders and update and release requirement documents.
Organize and provide all documents for sourcing and provide technical expertise during purchasing process.
Lead and facilitate embedded controls module Product Development Team (PDT) meetings.
Responsible for all Electrical and Mechanical interfaces that are defined and documented including packaging of components.
Coordinate requirements and design reviews with suppliers, algorithm, and software groups e.g., DFMEA, DRBFM, Peer Reviews.
Ensures hardware prototypes are validated and available for key pre-production vehicle build milestones.
Assure that production released parts meet PPAP and supplier manufacturing is ready to start volume production at product launch.
Responsible for reducing controller warranty to meet quality target.
Primary Qualifications
Bachelor of Science degree in one of the following: Electrical Engineering, Mechanical Engineering, Computer Engineering, Computer Science, Chemical Engineering, Mathematics, or Physics
2+ years of embedded controls experience
Basic understanding of software verification/validation processes
Understanding of engineering theory and principles of operation of mechanical/electrical mechanisms
High level of analytical ability where problems are complex and difficult to solve.
Demonstrated proficiency in project management skills.
Effective interpersonal skills that focus and influence others, including those which may have priority differences with yours.
This position requires you to be able to legally operate a motor vehicle.
Additional Desired Qualifications
Master's degree in one of the following: Electrical Engineering, Mechanical Engineering, Computer Engineering, Computer Science, Chemical Engineering, Mathematics, or Physics
5 to 10 years of DRE experience
Experience in the GM component specification and release process
Knowledge of vehicle dynamics and electronic chassis systems
Basic understanding of vehicle serial data communications (e.g., CAN, GMLAN, & LIN)
Knowledge of OBD-II diagnostics
Knowledge of automotive safety integrity levels (ASIL)
DFSS Black Belt certification
#LI-SW1
Why Join Us
At GM, you’ll be at the forefront of shaping the future of connected, electric, and autonomous vehicles . You’ll work on cutting-edge antenna systems alongside some of the brightest minds in automotive and RF technology — with the resources to make an impact at scale. We offer competitive compensation, growth opportunities, and a culture that values innovation, inclusion, and forward thinking . This is a unique opportunity to lead, innovate, and help millions of customers around the world stay connected on the move .
Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.
Benefits : GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.
Diversity Information
General Motors is committed to being a workplace that is not only free of discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that workforce diversity creates an environment in which our employees can thrive and develop better products for our customers. We understand and embrace the variety through which people gain experiences whether through professional, personal, educational, or volunteer opportunities.
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AI Disclosure:
As part of the application process, Artificial Intelligence will be used in the hiring process for this role.
Work Arrangement:
This role is categorized as Onsite. This means the successful candidate is expected to report to Oshawa Assembly Plant five times per week at minimum, or other frequency dictated by the business.
About GM:
At General Motors we pride ourselves on designing, building and selling the world's best vehicles. We are seeking a new generation of visionaries to help launch bold engineering and business initiatives, and shape new directions for General Motors. As an intern or co-op student through our EXCEL (Exploring Careers through Experiential Learning) Program you will gain hands-on career specific experiences to maximize your real world potential.
The Role:
As a Production Group Leader, the individual is responsible for supervising a group of employees involved in production, or operations. The group is responsible for quality products in a safe, and timely manner! Also, the Co-Op student will be responsible for reducing costs, eliminating waste, and improving safety practices. Together with other Group Leaders, you are part of a team supporting business objectives, and maintaining operation at a world-class level! Some of the problem-solving work is of a technical nature. This type of work requires the ability to make timely decisions within specified limits, that the individual can effectively cope with change, and can comfortably handle risk and uncertainty.
Furthermore, the Production Group Leader can expect to be collaborating on innovation challenges, interacting with industry leaders, attending professional trade events, and volunteering for community service activities.
Several departments currently have openings for a Production Group Leader, including Body, Sub-Assembly and Stamping.
Key Responsibilities:
Supervise hourly represented employees in a unionized environment
Implement Health & Safety laws, and promote a safe work environment
Ensure quality levels are maintained and improved every day
Maintain and exceed efficiency levels through continuous improvements
Effective use of personnel, material and equipment
Align with terms of local and national labour agreements
Maintain department records and complete various administrative tasks
Supervise and achieve business plan objectives and targets
Shift rotations and flexible to work weekends and overtime as required
Required Qualifications:
Pursuit of a Bachelors Degree (3rd or 4th year) in Computer Science, Engineering (Computer, Mechatronics, Mechanical, Electrical, Manufacturing, Automotive Engineering, Software Engineering, or equivalent), Supply Chain, Business, Commerce
Eligible to work full-time (40 hours per week) in Canada and for 8, 12 or 16months (consecutive semesters) starting January 2027
Willing to work in a plant environment and flexible hours (shift work, weekends, and overtime) to meet business needs
Preferred Qualifications:
Prior manufacturing experience, knowledge of production environments, and in automotive industry are considered assets
Previous supervisory, or team leading experience
Desired Skills:
Outstanding leadership, interpersonal, and relationship management skills with the ability to effectively collaborate with varying levels of the organization
Excellent written and verbal communication skills with the ability to distill complex subjects to a wider audience
High level of integrity, ability to deal with ambiguity, takes initiative/self-directed
Evidence of strong character with integrity, honesty, accountability and trust
Consistently demonstrates innovative thinking that is customer-centric
Excellent project management skills and the proven ability to manage numerous projects at any given
Possess strong organizational, problem-solving, and analytical skills
Fundamental digital literacy including understanding of MS Word, Excel, Access, and PowerPoint.
NOTE - YOU MUST BE ENROLLED IN A CO-OP PROGRAM AND MEET THE PROGRAM’S ELIGIBILITY REQUIREMENTS. ALL STUDENTS MUST ALSO BE LEGALLY ENTITLED TO WORK IN CANADA.
The salary range for this role is $4264- $4784 CAD. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.
THIS JOB IS NOT ELIGIBLE FOR RELOCATIONS BENEFITS. ANY RELOCATION COSTS WOULD BE THE RESPONSIBILITY OF THE SELECTED CANDIDATE.
GM DOES NOT PROVIDE IMMIGRATION-RELATED SPONSORSHIP FOR THIS ROLE. DO NOT APPLY FOR THIS ROLE IF YOU WILL NEED GM IMMIGRATION SPONSORSHIP NOW OR IN THE FUTURE
Accommodation is available for applicants with disabilities. Should you be contacted by General Motors of Canada Company, please advise if you require accommodation.
For more information about GM Canada, visit our website at www.gm.ca/careers
General Motors of Canada values diversity and is an equal opportunity employer.
GM Level: 6A
Proposed job-family alignment: Test and Validation Engineering
Primary work location: GM Milford Proving Ground, Milford, Michigan
Travel: Approximately 10% as needed for training, team alignment, vehicle support, or other GM testing activities
Career track: Individual contributor
General Motors is developing advanced driving-assistance and autonomous-vehicle capabilities that require safe, repeatable, and scalable validation. The Autonomous Vehicle Test Engineer will plan, execute, and report autonomous-vehicle testing at GM’s Milford Proving Ground in partnership with AV Test Engineering, Vehicle Integration, software and systems engineering, AV Operations, Fleet Reliability Engineering, and other cross-functional teams.
This role will translate engineering objectives and approved test requests into clear, executable test plans and procedures. The engineer will conduct closed-course regression, feature, behavior, calibration, system-validation, and structured data-collection testing; evaluate vehicle and autonomy-system behavior; troubleshoot software and hardware issues; and deliver complete, actionable evidence to engineering customers.
The role combines test planning, hands-on vehicle and test execution, technical triage, data analysis, and process improvement. The successful candidate will be comfortable working in a fast-changing environment, taking ownership of ambiguous problems, collaborating across software and hardware domains, and maintaining a high bar for safety, test quality, and technical rigor.
Translate product, software, systems, and program objectives into practical test plans, test cases, procedures, schedules, and resource requirements.
Plan and execute repeatable software regression, feature and behavior validation, structured scenario, calibration-support, fault-response, and targeted data-collection tests.
Conduct closed-course vehicle testing at Milford Proving Ground, including vehicle preparation, test setup, scenario execution, observation, intervention or takeover when required, and post-run closeout.
Coordinate test requests, priorities, vehicle assignments, track reservations, operating windows, personnel, equipment, and readiness reviews with AV Test Engineering and cross-functional stakeholders.
Follow approved test procedures and acceptance criteria while using sound engineering judgment when test conditions, vehicle state, system behavior, or data quality differs from expectations.
Make timely recommendations to proceed, modify, repeat, block, or stop testing based on safety, vehicle condition, system behavior, track conditions, weather, data quality, or test intent.
Support test execution across development and release milestones, including build checkout, regression campaigns, feature validation, system integration, and structured validation activities.
Support approved vehicle testing on public roads or other test environments when required by the program, applicable procedures, and GM driver-training and safety requirements.
Monitor vehicle and autonomy-system health before, during, and after testing, identifying conditions that could affect safety, data quality, or test availability.
Triage issues involving the AV software stack, vehicle compute, sensors, localization, calibration, connectivity, data recording, host-vehicle systems, vehicle networks, power, and test infrastructure.
Use system status, logs, drive data, diagnostic tools, measurements, operator observations, and repeatable experiments to isolate likely causes and determine the appropriate next action.
Reproduce issues when safe and practical, capture accurate timelines and evidence, and create actionable issue reports for software, systems, Vehicle Integration, Fleet Reliability Engineering, Troubleforce, Service Operations, or other support teams.
Distinguish between issues that can be safely contained or corrected during test execution and issues requiring vehicle removal from service, engineering review, formal change control, or additional safety assessment.
Partner with developers and systems engineers to clarify expected behavior, reproduce failures, evaluate fixes, and verify corrective actions through targeted retesting.
Support controlled fault-injection and non-nominal testing when requested, ensuring that test intent, expected system response, safety controls, and data-labeling requirements are understood before execution.
Execute test procedures consistently and capture complete run information, including vehicle, software, calibration, map, track, scenario, operator, weather, and timing details.
Evaluate AV behavior and system response against defined test objectives and acceptance criteria, distinguishing objective evidence from anecdotal observations.
Report pass, fail, blocked, incomplete, and inconclusive outcomes with enough context for engineering teams to act without repeating avoidable setup work.
Ensure drive links, logs, data media, notes, screenshots, issue references, and other required evidence are transferred or uploaded through approved workflows.
Review test data for completeness, corruption, missing signals, unexpected configuration changes, or other conditions that could limit its usefulness.
Publish concise test summaries, technical findings, and status updates to the appropriate engineering and operations forums.
Maintain traceability for test requests, procedures, results, issues, and retests in tools such as Jira, Confluence, Xray, Slack, and approved data or fleet-management systems.
Provide timely feedback to remote software, systems, simulation, safety, and program teams so that test results support release decisions, feature refinement, and issue prioritization.
Prepare assigned test vehicles and equipment for daily execution, including configuration checks, software and calibration state, physical condition, instrumentation, data-recording readiness, and required test assets.
Perform or coordinate pre-drive readiness checks, post-drive inspections, sensor and camera cleanliness checks, data-media handling, charging or fueling coordination, and other activities required to maintain test availability.
Support approved software or branch deployments, calibration updates, route or map selection, logging configuration, test tools, and other test-preparation activities.
Maintain accurate records of vehicle status, mileage or test hours, configuration, test history, open issues, and return-to-service decisions.
Identify vehicle downtime risks early and coordinate containment, recovery, maintenance, parts, facility resources, and technical assistance with the appropriate partner teams.
Help maintain reliable test infrastructure, track resources, measurement equipment, data workflows, and other assets needed for repeatable execution.
Contribute to readiness reviews and daily operating rhythms that align vehicle and facility availability with testing demand.
Work closely with AV Test Engineering leads, Vehicle Integration, software engineering, systems engineering, AV Operations, Fleet Reliability Engineering, Service Operations, Safety, Mapping, Simulation, and program teams.
Clarify test objectives, assumptions, expected system behavior, inputs, outputs, dependencies, and acceptance criteria before execution.
Coordinate with operations personnel and technicians to ensure vehicles, track activities, equipment, and supporting tasks are prepared and executed safely.
Provide clear technical direction during test execution when coordinating operators, technicians, contractors, or other support personnel, without formal people-management responsibility.
Communicate blockers, risks, schedule impacts, vehicle constraints, and issue status early enough for teams to make informed decisions.
Participate in technical reviews, release-readiness discussions, issue reviews, retrospectives, and other forums that improve test effectiveness and system quality.
Build trusted working relationships across disciplines by being responsive, precise, fact-based, and accountable for follow-through.
Identify opportunities to increase usable testing hours, improve coverage, reduce avoidable setup and reset time, and improve the quality and timeliness of test results.
Develop and maintain clear checklists, test templates, troubleshooting guides, readiness gates, standard work, and other documentation that improves repeatability.
Improve test intake, prioritization, planning, execution, reporting, issue follow-up, and data-management workflows.
Use metrics and evidence such as vehicle availability, test hours, completed runs, blocked runs, downtime, repeat failures, data-upload timeliness, issue aging, and request cycle time to identify improvement opportunities.
Support appropriate automation, tooling, and data-analysis improvements that reduce manual effort and increase test consistency.
Capture lessons learned from test campaigns and convert them into improved test plans, procedures, asset requirements, and recommendations.
Help onboard and share knowledge with other engineers, technicians, operators, and cross-functional partners.
Follow all GM, Milford Proving Ground, AV Operations, AV Test Engineering, and applicable safety procedures and work controls.
Verify that required personnel, training, vehicle qualifications, test equipment, track conditions, emergency support, communications, and approved procedures are in place before testing begins.
Stop work and escalate when vehicle condition, system behavior, weather, track conditions, personnel readiness, facility conditions, or test setup creates unacceptable risk.
Maintain disciplined adherence to approved operating limits, test procedures, takeover requirements, driver guidance, and change-control expectations.
Support incident, near-miss, and abnormal-event documentation with accurate facts, timelines, evidence, and follow-up actions.
Treat safety, data integrity, and test traceability as non-negotiable requirements for every test activity.
Bachelor’s degree in mechanical, electrical, automotive, systems, computer, robotics, aerospace engineering, computer science, or a related technical discipline.
At least 3 years of relevant experience in autonomous vehicles, automotive engineering, robotics, aerospace, vehicle testing, systems integration, test engineering, or a related technical operations environment.
Experience planning and executing vehicle, robotics, or other complex electro-mechanical system tests in a laboratory, proving-ground, field, or comparable operational environment.
Experience troubleshooting software-enabled hardware systems using diagnostic information, logs, measurements, observations, and structured problem-solving methods.
Ability to read and apply test procedures, requirements, acceptance criteria, operating instructions, and safety controls.
Demonstrated ability to take ownership, establish priorities, work independently, and drive ambiguous technical problems toward resolution.
Ability to collaborate effectively with software, hardware, systems, operations, reliability, safety, and program teams.
Strong written and verbal communication skills, including concise technical reporting, issue escalation, and cross-functional coordination.
Ability to work onsite in a proving-ground environment with exposure to heat, cold, dust, wind, sun, noise, vehicle traffic, and changing work conditions.
Ability to perform hands-on vehicle readiness and troubleshooting activities, including inspecting vehicles, connecting or handling test equipment and data media, and moving through vehicle and track environments as required.
Ability to work onsite at GM Milford Proving Ground in Milford, Michigan, and travel approximately 10% as needed.
Valid driver’s license and ability to meet applicable GM driver-training, vehicle-qualification, site-access, and safety requirements for vehicle testing.
Direct experience testing autonomous vehicles, advanced driver-assistance systems, mobile robots, or other safety-critical autonomous systems.
Experience with closed-course test execution, proving-ground operations, scripted scenario testing, release regression, feature validation, calibration support, or structured data collection.
Experience with total-vehicle integration, vehicle systems testing, or end-to-end validation of software-enabled vehicle features.
Working knowledge of software-defined vehicle concepts, SDV 2.0 architecture, vehicle compute, electronic control units, over-the-air or branch-based software deployment, vehicle configuration, and software or hardware change management.
Experience with automotive diagnostics, CAN or Ethernet-based vehicle networks, sensors, localization, calibration, time synchronization, data recording, connectivity, or AV system-health monitoring.
Familiarity with AV and vehicle tools such as Xray, INCA, Vehicle Spy, DPS, Cursor, Git, GitHub, Buildkite, Grafana, Notelogger, SC3 Debug App, Jumpstart, Launchpad, Starfleet, HAT, Drives, Webviz, Netradyne, Looker, or comparable tools.
Experience using Linux, command-line tools, Python, SQL, spreadsheets, or other methods to inspect logs, automate repetitive analysis, or improve test and fleet reporting.
Experience with test-management, issue-tracking, configuration-management, or release tools such as Jira, Confluence, Jenkins, Artifactory, or comparable platforms.
Familiarity with software development life-cycle practices, integration workflows, requirements traceability, and release-readiness processes.
Experience working with AV, automotive, robotics, or other complex systems in a fast-paced development environment.
Experience supporting or mentoring technicians, operators, junior engineers, contractors, or other test-support personnel.
Compensation: The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of New York, Colorado, California, or Washington.
Benefits:
Relocation: This job may be eligible for relocation benefits.
Hybrid: This role is based hybrid from Warren, MI. You are expected to report to that location three times a week, at minimum.
]]>The Data Labeling Engineering team designs, builds, and operates hybrid human/machine data labeling tools and pipelines that power autonomous vehicle machine learning models within General Motors' AV organization . We operate in the intersection of software engineering , data engineering , and AI/ML , defining the strategies, tooling, and quality controls that create reliable training data at scale. Our tools and platform are used by thousands of users and consumers.
We own a modern full‑stack architecture including TypeScript/React, Python, GraphQL, Golang , and ML model services , which powers data‑annotation pipelines and machine‑led training data solutions at foundation‑model scale . We partner closely across AI/ML engineers , Product Operations , Product Management , Data Science , and other ML Platform groups.
This role is ideal for an engineer looking for end-to-end ownership of meaningful pieces of the platform, growth in technical and strategic leadership, and direct impact across teams and systems that unblock the next generation of AV capabilities.
Compensation: The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of New York, Colorado, California, or Washington.
The Semiconductor Supply Chain Data Manager should have a strong understanding of Semiconductor manufacturing process and its subsequent supply chain processes. This will help in driving data models and applications that help assist in the mapping of the supply chain and other technical details. This position will be part of a team that will support both internal and external customers on cross functional projects related to semiconductor data, mapping and supply chain efforts. I.e., mapping, resiliency, distribution operations and forecasting of supply to help secure GM’s future related to semiconductors. Work is of a complex nature involving a considerable amount of initiative, analytical work and a high level of independent judgment.
The Semiconductor Supply Chain Data Manager will be faced with challenges and problems of a diverse and sometimes ambiguous / moving scope. Must be able to identify, develop, problem solve and automate data solutions.
What You’ll Do
Your Skills & Abilities (Required Qualifications)
What Will Give You a Competitive Edge (Preferred Qualifications)
Hybrid: This role is categorized as hybrid. This means the successful candidate is expected to report to Milford, Michigan three times per week, at minimum.
The Role:
At General Motors, we are developing the embedded software and control systems that enable advanced vehicle performance, drivability, and system integration. We are seeking a Senior Advanced Emission System Software Engineer to support Advanced Technical Work (ATW) projects in the Internal Combustion Engine domain, ensuring future ICE vehicles meet regulatory requirements and customer expectations in rapidly changing environment.
In this role, you will lead project execution across a cross-functional team developing software and controls for new technology, ensuring that systems meet performance expectations. You will support ATW projects through all gates and ensure the technology will be successful when implemented on production programs.
This role is well suited for an engineer who combines strong ICE control fundamentals with cross-functional coordination, clear communication, and a disciplined approach to execution in a technically complex development environment.
What You’ll Do:
Lead/support a team to execute Advanced Technical Work (ATW) projects
Collaborate with cross functional teams to define project requirements and deliverables
Support the development of control methods and controller software code
Develop calibrations for ATW projects to prove capability of system to meet project goals
Verify control methods/software on SIL/HIL test bench, engine start cart, or development vehicles
Perform emission testing on engine start cart, engine dynamometer, or vehicle to demonstrate system performance meets project requirements
Your Skills and Abilities (Required Qualifications):
Bachelor’s degree in electrical, mechanical or software engineering
2+ years in propulsion system controls, software, or calibration
Knowledge in the internal combustion engine control domain: startability, open and closed loop fuel control, emission reduction and aftertreatment methods
Proficient with vehicle interface and data analysis tools such as INCA, Indicom, Concerto, and Vehicle Spy
Strong programming skills
Passion for innovation
Capable of working autonomously with limited direction from leadership
Knowledge of MATLAB/Simulink
Ability to effectively communicate with leadership/decision makers
What Will Give You A Competitive Edge (Preferred Qualifications):
Master’s degree in electrical, mechanical or software engineering
5+ years of tailpipe emissions calibration
Experience in C coding for embedded software
Experience with embedded software development tools (Git/Gerrit)
Understanding rapid prototyping platforms: ETAS, d-SPACE
An understanding of Global B/VIP/SDV electrical architecture
Experience successfully leading large ambiguous projects
Familiarity with simulation tools: GT Power Suite, Amesim, GMSIM
As an L6 Data Scientist supporting Sales, Brand & Dealer, you will lead the execution of one or more workstreams within an AI, machine learning, or data science product. You will build deep technical expertise under the guidance of the product’s lead scientist while actively contributing to product decisions, methodological direction, and the development of high-impact solutions.
What You Will Do
Your Skills and Abilities (Required Qualifications)
What Can Give You a Competitive Advantage (Preferred Qualifications)
We are looking for a Software Quality & Testing Engineer to help us elevate our software built-in quality to the next level in the Vehicle Software and Electronics Engineering organization! In this role you will be using Agile methods, such as behavior driven development (BDD), to collaborate with product owners, developers, and testers to ideate, create, and execute software behavior tests for the next generation of GM embedded controllers.
What You’ll Do:
Develop test cases to assess software products at the solution, system and feature level. Identify software anomalies, missed requirements and performance issues early in the development process
Develop robust continuous automation methods using tools such the robot or other test automation framework
Understand functional, safety, and compliance requirements, implementing appropriate test plans and setups
Execute test plans on a variety of test environments such as hardware and software in-the-loop simulators, test benches and vehicles
Identify, document and resolve software problems; contribute to the team knowledge base so common software errors, corner case situations and other learnings can be retained and shared
Frequently collaborate with controls, diagnostic, system engineering and software cross-functional teams as well as other stakeholders to define effective acceptance criteria
Travel as required
Required Qualifications:
Pursuit of a Bachelor’s or Master's degree in one of the following areas: Mechatronics, Software, Electrical, or Computer Engineering
Must be graduating between Dec 2026 – June 2027
Must be able to work in Southeast Michigan
Able to work fulltime, 40 hours per week
Preferred Qualifications:
Embedded software development or test experience
Proficient with Python or other similar scripting languages (R, C, C++, MATLAB, VBA, or equivalent programming language)
Experience reading and debugging source code in C/C++ language
Knowledge of applied controls theory at the system level
Working knowledge of the software development process
Test automation (e.g., Jenkins), regression testing, and test procedure creation
Experience working in an Agile environment
Software-in-the-loop test environment experience
Hardware-in-the-loop test environment experience, including dSPACE ControlDesk
CppUTest environment experience
MATLAB/Simulink/Stateflow experience
Vehicle Dynamics / CarSim or other computer aided test experience
Communication protocol and tool experience (Automotive Ethernet, CAN, LIN diagnostics, ETAS INCA, Intrepid NeoVI/VSpy/Comet/Galaxy, Vector CANoe/CANape tools)
Experience with GitHub, GitHub Actions, Jira and other configuration management, version control and code quality tools.
Experience with Behavior Driven Development (BDD) process and familiarity with Gherki
Formula SAE, EcoCAR, or other Automotive related experience/clubs
GM does not provide immigration-related sponsorship for this role. Do not apply for this role if you will need GM immigration sponsorship now or in the future. This includes direct company sponsorship, entry of GM as the immigration employer of record on a government form, and any work authorization requiring a written submission or other immigration support from the company (e.g., H1-B, OPT, STEM OPT, CPT, TN, J-1, etc.)
Work Arrangement:
Hybrid: This role is categorized as hybrid. This means the successful candidate is expected to report to Milford, MI or Warren, MI three times per week, at minimum or other frequency dictated by the business.
To help facilitate administration of relocation benefits if you are selected, please apply using the permanent address you would move from.
Benefits:
GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.
This job may be eligible for relocation benefits
We’re General Motors (GM), a company driving the future of mobility with advanced self-driving and electric vehicle technologies.
We’re building the world’s most innovative autonomous vehicles to safely connect people to the places, things, and experiences they care about. We believe self-driving vehicles will help save lives, reshape cities, give back time in transit, and restore freedom of movement for many.
GM employees have the opportunity to grow and develop while learning from leaders at the forefront of their fields. With a culture of internal mobility, there’s an opportunity to thrive in a variety of disciplines. This is a place for dreamers and doers to succeed.
If you are looking to play a part in making a positive impact in the world by advancing the revolutionary work of self-driving vehicles, join us.
About the team:
The AV ML Infra team at GM builds ML infrastructure designed to meet the unique demands of AI and ML innovation, supporting a wide range of use cases across teams such as Embodied AI, Simulation, Data Science, and more. We enable scalable and efficient ML experimentation, enhance the productivity of ML engineers, and drive the adoption of cutting-edge ML techniques.
Our ML infrastructure includes:
AI Validation & Inference: Ensures robust model performance by running large-scale simulation workloads and managing reliable ML inference pipelines.
ML Compute: Streamlines and optimizes large-scale ML training and inference across cloud and on-prem compute resources.
AV Pipelines & Lineage: Automates ML workflows while tracking data and model lineage across diverse infrastructures, accelerating engineering velocity and ensuring reproducibility.
Together, these tools and systems empower GM to tackle the complexities of autonomous driving technology and expedite our path to commercialization.
Position Overview:
The Principal AI/ML Engineer will lead a growing organization, guiding the AV ML Infra team in achieving its mission while shaping a long-term vision and execution strategies across GM’s AI and ML efforts. This leadership role will drive a transformative leap in our infrastructure capabilities to meet the scale we anticipate. The leader will articulate a clear vision and strategy, design an organizational structure to enable effective execution, and cultivate strong partnerships across cross-functional teams and stakeholders.
Note: This role is part of an ML infrastructure engineering team and does not involve applying machine learning models for specific tasks. The focus is on developing infrastructure products that empower GM teams to perform machine learning and data science at scale.
What you’ll be doing:
Design & Implementation: Utilize the latest cloud technologies (GCP/Azure) to design, implement, and test scalable distributed computing and data processing solutions in the cloud.
Project Ownership: Take ownership of technical projects from inception to completion, contribute to the product roadmap, and make informed decisions on major technical trade-offs.
Collaboration: Engage effectively in team planning, code reviews, and design discussions, considering the impact of projects across multiple teams while proactively managing conflicts.
Mentorship & Recruitment: Conduct technical interviews with calibrated standards, onboard, and mentor engineers and interns, fostering a culture of growth and knowledge sharing.
What you must have:
10+ years of experience, with a strong background in large-scale distributed systems preferred.
5+ years of experience leading and driving large-scale initiatives.
Proficiency in building scalable infrastructure on the cloud using Python, C++, Golang, or similar languages.
Experience working with relational and NoSQL databases.
Demonstrated ability to develop and maintain systems at scale.
A Bachelor’s, Master’s, or Ph.D. in Computer Science, Electrical Engineering, Mathematics, Physics, or a related field; or equivalent practical experience.
A passion for autonomous vehicle technology and its transformative potential.
Strong attention to detail and a commitment to accuracy.
A proven track record of efficiently solving complex problems.
A startup mentality with a willingness to embrace uncertainty and wear multiple hats.
Bonus Points:
Experience with Google Cloud Platform, Microsoft Azure, or Amazon Web Services.
Experience with open-source orchestration platforms such as Kubeflow, Flyte, Airflow, etc.
Experience with Kubernetes.
Understanding of Machine Learning (ML) models/pipelines.
Python/C++/Golang proficiency.
Relevant publications.
Compensation:
Benefits:
Company Vehicle: Upon successful completion of a motor vehicle report review, you will be eligible to participate in a company vehicle evaluation program, through which you will be assigned a General Motors vehicle to drive and evaluate. Note: program participants are required to purchase/lease a qualifying GM vehicle every four years unless one of a limited number of exceptions applies.
GM’s vision is zero crashes, zero emissions, and zero congestion—and autonomous vehicle safety is essential to achieving that vision.
As Sr Manager, AV Behavior Safety Engineering, you will lead the strategy and support execution for how GM defines, measures, and validates the safety of SAE Level 3 – 4 Automated Driving Systems powered by machine‑learned models. You will report into the AV Safety Strategy and Assurance organization and directly influence launch decisions for GM’s next generation of automated driving products.
If you are passionate about safety, have deep experience in autonomous vehicle development and validation, and are a proven technical leader in AI/ML‑driven systems, this role is an opportunity to shape how millions of people experience safe automated driving.
The Role
The AV Safety Strategy and Assurance team is seeking a hands‑on technical senior manager with extensive experience in the end‑to‑end development lifecycle of autonomous vehicle behaviors, from ODD and behavior definition through simulation, closed‑course, and public‑road validation.
You will:
Lead Technically
Lead People
Why This Role Is Unique
Your Skills & Abilities (Required Qualifications)
What Will Give You A Competitive Edge (Preferred qualifications)
Compensation : The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position, as well as geography of the selected candidate.
• The salary range for this role is $250,600 and $384,600. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.
• Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.
Benefits:
• Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.
Company vehicle: Upon successful completion of a motor vehicle report review, you will be eligible to participate in a company vehicle evaluation program, though which you will be assigned a General Motors vehicle to drive and evaluate. Note: program participants are required to purchase/lease a qualifying GM vehicle every four years unless one of a limited number of exceptions applies.
#LI-KE2
]]>A Journeyperson Pipefitter is a driven, determined and ambitious tradesman who is responsible for installing, assembling, fabricating, maintaining and repairing of mechanical piping systems to improve functionality.
Preferred Experience Includes:
Experience with planned maintenance systems and predictive technologies
Experience with industrial robotics, automation, and conveyance systems
Primary Responsibilities:
Follow established safety procedures according to OSHA standards and company procedures
Maintain, dismantle, repair, and replace mechanical and hydraulic components (e. g. bearings, seals, details, carriers, etc.) on industrial machinery such as shafting, motors, generators, air compressors, engines, pumps, cylinders, gears, couplings, linkages, ball screws, high speed CNC spindles, coolant systems and filters, and combustion equipment and valves
Layout, assemble, fabricate, maintain, and repair piping systems
Use various hand or power tools for measuring, cutting, threading, grooving, bending, soldering, assembling, joining, and installing pipes, valves, and fittings
Read and interpret blueprints for the mechanical operation and assembly of conveyor systems, material handling systems, robots, and other automation
Operate mobile equipment (e.g. forklifts, vertical lifts, cranes)
Determine loading requirements to rig equipment and material for lifting
Set up and operate conventional or computer numerically controlled (CNC) machine tools such as lathes, milling machines, and grinders to cut, bore, grind, or otherwise shape parts to prescribed dimensions and finishes
Fabricate punches, tools, steel rule tools and t-sets to exact specifications
Plan sequences of operations for fabricating tools or assemblies using blueprints, sketches, or models
Determine quality of finished products, ensuring defect-free parts, by verifying dimensions, alignment, and clearances for conformance to specifications using measuring instruments such as calipers, gauge blocks, micrometers, and dial indicators
Interested individuals must meet the following minimum qualifications:
At least six (6) years of related experience in a Mechanical trade (millwright, pipefitter, toolmaker, machine repair) or a U.S. Department of Labor Certificate of Completion in a Mechanical trade (millwright, pipefitter, toolmaker, machine repair).
Must be able to satisfactorily complete the General Motors hiring process requirements which includes comprehensive assessments, drug testing, and a background check
At least 18 years of age
Eligible to work in the United States
Must be willing to work flexible shift hours and day, afternoon, or night shifts as well as overtime hours daily, weekend and holidays on those shifts with little notice
GM DOES NOT PROVIDE IMMIGRATION-RELATED SPONSORSHIP FOR THIS ROLE. DO NOT APPLY FOR THIS ROLE IF YOU NEED OR WILL NEED GM IMMIGRATION SPONSORSHIP TO WORK OR TO REMAIN EMPLOYED AT GM (e.g., H-1B, TN, STEM OPT, etc.).
If you are a current GM employee operating under a collective bargaining agreement, please contact your local HR/LR for employee placement opportunities.
This position may be filled with a Journeyperson or Journeyperson In Training, the compensation ranges for a JIT include ($37.42-$43.66) or Journeyperson rate of $44.55. Certificates/credentials and scoring in interview will determine your status and pay.
Physical Requirements
Quick response to safety instructions, alarms, and signals are a must
Ability to work and stand for extended periods
Comfortably wear personal protective equipment
Navigate a busy environment
Bend, twist, kneel, crouch, and reach
May need to lift or carry materials weighing up to 50 lbs. depending on department
Occasional sitting during certain tasks
Drive mobile equipment when needed
General Motors UAW hourly employment offers a very competitive compensation and benefit package. An annual incentive payout is also available, as qualified.
Relocation and travel expenses will be the responsibility of the applicant.
Please note – per the labor agreement between GM and the UAW, GM may share information and documentation relating to the credentials of applicants for this position (e.g., resumes, journeyperson cards, interview notes, certificates, etc.) with UAW personnel who have a need to know as part of their role on the UAW skilled trades team.
]]>Description:
As a Hardware-in-the-Loop (HIL) Engineer within General Motors’ AV Core Infrastructure team, you will design, build, and maintain advanced HIL systems that accelerate validation of embedded controllers and perception systems across next-generation vehicles. You’ll bridge mechanical, electrical, and software disciplines to deliver scalable, reliable, and maintainable test infrastructure enabling data-driven development of automated driving features.
You will collaborate with systems engineers, embedded software developers, integration labs, and operations teams to ensure our HIL platforms remain at the forefront of validation capability—powering the test flywheel that drives GM’s future of safe, autonomous mobility.
Key Responsibilities
Design, build, and sustain modular HIL systems for ECU and subsystem validation across multiple vehicle platforms.
Develop scalable rack-based test solutions integrating power distribution, network infrastructure, and environmental management for high-availability operations.
Collaborate cross-functionally with Systems, Firmware, and Validation Engineering to define I/O mappings, harnessing, and test configurations.
Deploy automation and monitoring systems for bench health, including power cycling, network diagnostics, and logging infrastructure.
Drive lab capacity expansion projects, including facility layout, power/network planning, and thermal management.
Continuously innovate to improve efficiency, reusability, and modularity across the HIL fleet; contribute to design libraries and shared tools.
Complete bench bring up, parts ordering, and integration of components ranging from boards to sensors.
Support flashing and configuration changes and develop preventative maintenance processes to ensure bench fleet health.
Be hands on the ground for rapid responses to bench related issues.
Required Qualifications
Bachelor's degree in mechanical, Electrical, or Mechatronics Engineering—or equivalent hands-on experience in HIL, lab automation, or robotics integration.
4+ years of experience in design, integration, and maintenance of hardware validation systems or HIL infrastructure.
Familiarity with ECU harnessing, power systems, and signal integrity best practices.
Competence with Linux CLI, networking (Ethernet, switches, VLANs), and power distribution.
Proven record of cross-functional collaboration, vendor management, and hands-on debugging of complex electromechanical systems.
Preferred Qualifications
Experience building or maintaining large-scale HIL or test automation systems supporting multiple ECUs or vehicle domains.
Familiarity with Python, CAN/LIN tools (Vector, Kvaser, etc.), and test automation frameworks.
Experience with thermal and EMI management, system grounding, and rack-level cable routing.
Knowledge of lab operations, EHS compliance, and facility management.
Compensation: The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of New York, Colorado, California, or Washington.
The salary range for this role is $184,100 to $230,000. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.
Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.
Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.
Benefits:
Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.
The General Motors Global Purchasing and Supply Chain (GPSC) organization is seeking to identify highly motivated and qualified individuals for current or future Global Sourcing Manager roles
Selected candidates will be invited to join one of the following areas within the GPSC organization:
The ideal candidate will be comfortable operating autonomously, solving problems independently, and prioritizing tasks that maximize enterprise value for General Motors and the Global Purchasing and Supply Chain (GPSC) function. :
Your Skills & Abilities (Required Qualifications):
What Competitive Edge (Preferred Qualifications):
Description
At General Motors, our Embodied AI teams are redefining what’s possible in driver assistance and automated driving, combining human‑centered design with cutting‑edge robotics, optimization, and machine learning to build systems that are both intelligent and trustworthy.
The Secondary Driving System (SDS) is an independent perception, planning, and controls stack that keeps the vehicle operating safely for a limited time if the primary driving system becomes unavailable. SDS requests driver takeover and, when needed, executes a Minimal Risk Maneuver (MRM) to bring the vehicle to a safe stop.
We are looking for a Staff Software Engineer to provide technical leadership for the Secondary Driving System as a whole. This is a generalist software engineering role focused on building robust, production‑quality C++ software across the SDS stack (perception, tracking, prediction, planning, controls, and system integration). Depth in perception, tracking, prediction, or planning is highly preferred , but we are primarily looking for strong engineering and systems skills, with the flexibility to work where the team and product need you most.
Role
As a Staff Software Engineer on the Secondary Driving System team within Embodied AI, you will:
Serve as a technical lead for SDS software across multiple components of the stack, setting direction for algorithms, architectures, and system interfaces across features and releases.
Own the end‑to‑end technical strategy for key SDS behaviors and features, spanning perception/prediction integration, planning, controls, and system‑level interactions.
Balance hands‑on technical work with cross‑team leadership: you will still design and implement critical components in modern C++, while also guiding other senior and mid‑level engineers to deliver at scale.
Collaborate closely with experts in perception, tracking, prediction, state estimation, localization, mapping, planning, controls, systems engineering, and safety to deliver robust, fail‑operational behaviors for Super Cruise and future products.
What you’ll be doing
Define technical vision & architecture
Set the technical direction for SDS software components with a focus on correctness, robustness, and predictable runtime behavior under tight latency and compute budgets.
Architect scalable, modular multi‑sensor perception pipelines for camera, radar, and lidar, including detection, classification, lane/road feature extraction, freespace/occupancy, and environmental context.
Establish and evolve interfaces and contracts between perception/prediction and upstream/downstream components (state estimation, localization, mapping, planning, controls, autonomy management).
Lead high‑impact projects
Lead design and delivery of multi‑object tracking systems (e.g., Kalman/extended/unscented filters, IMM, probabilistic data association, track lifecycle management) that provide stable, high‑quality tracks under real‑world noise and edge cases.
Drive development and integration of short‑horizon motion prediction for vehicles, VRUs, and other actors using a mix of analytical models and ML‑based forecasting, including uncertainty modeling that enables conservative, fail‑operational decisions.
Evaluate trade‑offs between traditional computer vision/robotics and ML‑based approaches, choosing the right tool for the problem and ensuring solutions are production‑ready under latency and compute constraints.
Hands‑on technical excellence
Design and implement critical components in modern C++ (C++17 or later), with careful attention to memory management, concurrency, and real‑time behavior; use Python for tooling, data analysis, and ML experimentation.
Set and uphold high standards for software quality: clean, well‑documented APIs; rigorous code reviews; automated and regression testing; continuous integration; and rich logging and observability for on‑road incidents.
Profile and optimize SDS components to meet strict runtime performance, determinism, and resource‑usage requirements, using offline and online evaluation frameworks and metrics to guide iteration, regression detection, and performance tuning.
Cross‑functional and safety alignment
Work with state estimation, localization, mapping, and autonomy management partners to ensure SDS perception and prediction behavior supports reliable engagement and MRM in response to primary stack failures.
Partner with Safety and Systems Engineering to ensure designs and implementations align with functional safety , redundancy, and MRM requirements for fail‑operational, eyes‑off features.
Represent SDS perception and prediction in cross‑org technical forums , ensuring alignment with broader autonomy, platform, and hardware roadmaps.
Leadership & mentorship
Provide technical mentorship to other engineers, from onboarding to growing senior and staff‑level talent in perception/tracking/prediction and modern C++.
Lead and facilitate design reviews, incident post‑mortems, and cross‑team technical deep dives, raising the bar for clarity, robustness, and execution speed.
Help build a healthy engineering culture: pragmatic, data‑driven decision‑making; strong ownership; and a focus on safety, reliability, and customer experience.
Qualifications
BS, MS, or PhD in Computer Science, Robotics, Electrical/Mechanical Engineering , or a related field; or equivalent practical experience.
8+ years of professional software engineering experience building production systems in robotics, autonomous vehicles, or other complex real‑time/control systems, including significant experience in perception and/or prediction.
Strong proficiency in modern C++ (e.g., C++14/17 or later) in large, multi‑contributor codebases; experience using Python for tooling, data analysis, and ML experimentation.
Demonstrated experience leading technical design and delivery of perception, tracking, or prediction systems in real‑time environments, including:
Multi‑sensor fusion across camera, radar, and/or lidar (e.g., object‑level fusion, occupancy/freespace fusion, early/late fusion architectures)
Classical computer vision and geometric algorithms (feature extraction, multi‑view geometry, stereo, SfM, SLAM/visual odometry)
Multi‑object tracking (Kalman/extended/unscented filters, track‑to‑track fusion, track lifecycle management)
Motion prediction for road users (analytical kinematic models, maneuver‑based prediction, or learned trajectory forecasting models)
Proven track record of delivering reliable, high‑quality robotics or autonomous driving software to production, including:
Testing strategies (simulation, HIL, scenario‑based testing, regression suites)
Robust metrics and dashboards for monitoring perception/prediction performance
Performance tuning under strict latency and compute budgets
Strong communication and collaboration skills, with the ability to:
Drive clarity in ambiguous technical spaces
Influence engineers and leaders across ML, systems, platform, hardware, and safety
Document and communicate complex technical concepts to diverse audiences
Passion for automated driving and robotics, and for building systems that measurably improve safety and driver experience.
Bonus points
Experience building or leading camera/radar/lidar perception and fusion for autonomous driving or advanced driver assistance systems in production.
Deep expertise in tracking and prediction for autonomous vehicles or robotics (e.g., interaction‑aware prediction, occupancy forecasting, scene‑level prediction).
Hands‑on experience with GPU/accelerator‑based ML inference , model deployment, and performance optimization (e.g., TensorRT, ONNX Runtime, custom accelerators).
Experience with safety‑critical software or working closely with functional safety teams on requirements, architectures, safety cases, and validation for fail‑operational features.
Background in ROS or similar robotics middleware, and familiarity with real‑time or embedded platforms and constraints.
Compensation: The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of New York, Colorado, California, or Washington.
The salary range for this role is $218,800-$335,300. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.
Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.
Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.
Benefits:
Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.
#GM-AV-1
Job Summary
The AV Platform team designs, develops, and maintains the foundational embedded software platform for GM’s software-defined vehicle (SDV) and AV solutions, including operating systems, board support packages (BSP), drivers, and the core software stack for high-compute SoCs.
The Staff Software Engineer – Platform OS will provide technical leadership for Linux/QNX-based platform OS development on current production Super Cruise programs , with primary focus on platform OS debugging, BSP integration, low-level system services, kernel and user-space interfaces, and robust embedded system architecture . This role will lead low-level platform bring-up, cross-layer debugging, and integration of core OS services required to deliver a robust, secure, and production-ready compute platform for vehicle programs.
What You’ll Do
Lead Linux/QNX platform OS development and integration for current production Super Cruise programs , ensuring BSP, drivers, platform services, middleware, and core OS components operate as a cohesive, production-ready system.
Own platform BSP bring-up, integration, and debugging across Linux- and QNX-based environments, including boot flow, startup, board configuration, peripheral enablement, and low-level system initialization.
Design, implement, and maintain low-level platform services, system daemons, kernel-adjacent components, and resource-managed interfaces for custom hardware and core platform functionality.
Define and maintain key aspects of platform OS architecture , including process and service partitioning, IPC mechanisms, scheduling behavior, interrupt handling, and system resiliency.
Develop software in Embedded C/C++ for low-level operating system components, board support package layers, hardware abstraction, drivers, and system libraries.
Drive board and platform bring-up for current production of Super Cruise hardware, including clocks, memory, storage, networking, PCIe, UART, SPI, I2C, and other platform peripherals.
Debug complex cross-layer issues spanning bootloaders, kernels, OS services, drivers, middleware, and applications using logs, traces, dumps, and lab tools.
Use platform debugging and performance tools such as gdb, core dumps, JTAG, serial consoles, tracing, logging, and bench instrumentation to isolate and resolve system issues across Linux and QNX environments.
Define and maintain clean interfaces between OS/BSP, platform middleware, vehicle software layers, and application teams .
Support and improve platform reliability through requirements generation, automated testing, CI/CD integration, issue tracking, code reviews, and regression validation .
Partner closely with silicon vendors, suppliers, security teams, validation teams, and release teams to review designs, close interface gaps, and ensure program execution.
Drive technical direction for platform OS architecture , including scalability, performance, fault isolation, maintainability, and debug-ability.
Mentor engineers on platform OS internals, BSP architecture, bring-up strategy, debugging techniques, and integration best practices .
Provide regular technical status, risks, and mitigation plans to leadership and cross-functional stakeholders.
Perform other related duties as assigned.
Basic Qualifications
12+ years of experience in embedded systems, platform OS, BSP, or low-level systems software development.
Strong hands-on experience with Linux, QNX, or other embedded/POSIX operating systems in production or advanced embedded development environments.
Strong proficiency in Embedded C/C++ development for low-level system software.
Experience with platform OS debugging , including analysis of boot issues, process or service failures, IPC or synchronization issues, memory or timing issues, and device bring-up problems.
Experience designing and implementing low-level platform services, system daemons, or resource-managed interfaces .
Solid understanding of embedded OS architecture , including process isolation, scheduling, interrupts, IPC, services, and system startup flows.
Experience with board bring-up and BSP integration on ARM or x86-based SoCs.
Experience with bootloaders, startup flows, hardware initialization, and board configuration for embedded platforms.
Demonstrated experience debugging issues across multiple layers of the stack, including bootloaders, kernels, OS services, drivers, middleware, and applications.
Experience building, testing, and shipping production-quality embedded/POSIX systems .
Experience with CI/CD pipelines , build systems, and integration of workflows in large multi-team environments.
Familiarity with common hardware interfaces and protocols such as PCIe, Ethernet, CAN, SPI, I2C, UART, USB, and storage subsystems .
Strong collaboration, communication, and technical leadership skills.
Preferred Qualifications
Experience with current production Super Cruise programs or similar high-compute automotive SoC platforms.
Experience integrating Linux and/or QNX BSPs, platform software drops, supplier deliverables, and internal baselines .
Experience in automotive, ADAS, AV, robotics, or other safety-critical systems .
Familiarity with ROS or mixed-OS environments involving Linux, QNX, or RTOS systems.
Experience with secure boot, signed images, system hardening, HSM integration, and OTA/software update flows .
Experience with system performance tuning across CPU, memory, latency, throughput, and I/O .
Experience with multi-core, SMP, or AMP embedded system configurations.
Experience supporting validation on benches, HIL rigs, and target ECUs .
Experience influencing supplier technical direction and reviewing low-level architecture and implementation quality.
Experience mentoring senior and mid-level engineers in platform OS and debugging disciplines.
Success Profile
A successful candidate for this role is a strong low-level systems engineer who can move effectively between architecture, implementation, debugging, integration, and technical leadership . They bring deep expertise in Linux and/or QNX platform software , are comfortable owning difficult platform issues on current production Super Cruise programs , and can guide teams through the complexity of building reliable, secure, high-performance vehicle compute software.
Compensation: The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of New York, Colorado, California, or Washington.
The salary range for this role is $185,600 to $304,800. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.
Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.
Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.
Benefits:
Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.
Who We Are
We are the Brands & Marketing Software Engineering Team within the Digital Products Engineering (DPE) organization at GM. Our team collaborates closely with marketing leaders from across GM to build easy-to-use tooling that powers engaging and innovative customer experiences at scale — including AI-powered discovery and search experiences — while providing meaningful value to our customers through a seamless customer journey.
Our mission is to rapidly and relentlessly ideate, iterate, and launch the next generation of innovative solutions to connect GM with current and future customers, increasingly leveraging Google Cloud Platform (GCP) and Vertex AI Search to deliver intelligent, personalized digital experiences.
Our team comprises industry-leading software and quality engineers, who utilize a variety of innovative development methodologies and technologies to achieve breakthrough results, drive innovation, and delight customers.
The Role
We are looking for an exceptional Senior Software Engineer (Full Stack Web) who is excited about building high-impact web products across General Motors and designing intelligent search and discovery capabilities on Google Cloud Platform using Vertex AI Search.
You will be responsible for helping lead our engineering efforts across planning, design and architecture, execution, and ramp — with a particular emphasis on:
What You’ll Do
With a specific focus on Google Cloud Platform and Vertex AI Search, you will:
Your Skills & Abilities (Required Qualifications)
What Will Give You a Competitive Edge (Preferred Qualifications)
#LI-CK1
Gm does not provide immigration-related sponsorship for this role. Do not apply for this role if you will need gm immigration sponsorship (e.g., h-1b, tn, stem opt, etc.) Now or in the future.
This job is not eligible for relocation benefits. Any relocation costs would be the responsibility of the selected candidate.
]]>If you are a current employee of General Motors working in a per diem, hourly, or regular salaried role, you must apply through the internal careers page. Please navigate to https://workday.gm.com and search for GM Find Jobs.
The General Motors Manufacturing Group is seeking to identify highly motivated and qualified individuals for current and potential future opportunities as a Group Leader. In anticipation of these openings becoming available, we welcome you to apply so we can begin the pre-screening and interview process.
Onsite: This role is categorized as onsite. This means the successful candidate is expected to report to Lansing, Michigan on a full-time basis.
The Role:
As a Group Leader in Production, Quality, or Global Supply Chain (GSC), you will be responsible for leading teams of employees or technical personnel to drive operational excellence across manufacturing processes. This includes managing daily operations, developing and improving business processes, and fostering a culture of teamwork and collaboration.
In this role, you may oversee production activities, quality assurance, inspection, problem-solving, and GM Built-in-Quality initiatives. You will be expected to apply independent judgment within the framework of Global Manufacturing Systems, with a strong focus on Safety, People, Quality, Responsiveness, Cost, and Environment (SPQRCE).
Selected candidates will gain the chance to develop new skills while contributing to the advancement of manufacturing processes that support the groundbreaking shift toward electric and autonomous vehicles.
What You'll Do (Responsibilities):
Analyze and respond promptly to the manufacturing daily plan, making necessary adjustments to operations as required
Manage multiple tasks in a fast-paced environment with competing priorities
Possess the experience to manage change and navigate ambiguity
Drive accountability through people and processes which may require difficult conversations
Specific physical requirements of the position include the ability to:
Work in a loud manufacturing environment that may not be climate controlled (conditions can be hot or cold)
Possess good physical stamina and coordination to frequently and repetitively:
Bend, twist, kneel, crouch and reach to perform work
Lift or carry materials weighing up to 15 lbs. and periodically carry or lift materials weighing up to 40 lbs.
Walk and stand for prolonged periods of time
Occasionally sit, climb (including ladders and lifts) and drive vehicles and equipment
Read standardized work instructions, operate machines and tools, and perform quality inspections
Promptly detect and respond to safety instructions, alarms, and signals
Wear personal protective equipment, for example: safety glasses, gloves, hats, ear plugs, and safety shoes
Your Skills and Abilities (Required Qualifications):
One year of direct supervisory experience or at least 5 months as an internal GM per diem group leader
Experience managing, leading people, and addressing performance concerns
Experience solving complex problems and working in a fast-paced environment
Strong interpersonal skills, experience managing conflict, and decision making
Demonstrate a high analytical ability to solve complex problems
Basic computer proficiency (i.e. Microsoft Word, typing, email etc.)
Must be willing to work weekends and rotating shifts
18 years of age or older
High School Diploma or equivalent
What Can Give You a Competitive Edge (Preferred Qualifications):
Knowledge of Continuous Improvement Processes (CIP)
Proficient in Throughput Improvement Process (TIP)
Advanced understanding of manufacturing and assembly processes
Experience supervising employees in a union environment
Supply Chain or Quality Experience
Experience implementing Built-in-Quality Initiatives
Red X & DFSS Certification
Lean Manufacturing experience
Knowledge of timekeeping systems
General Motors is transforming the transportation industry through advanced electrical architectures, high-performance computing, and the integration of ADAS and infotainment capabilities. GM’s Software‑Defined Vehicle 2.0 (SDV2) platform is our next‑generation centralized computing architecture. At the heart of this transformation is an in-house designed, liquid-cooled central compute unit, which is going to enable faster development cycles, more efficient software updates and seamless scalability across every GM brand.
As a Hardware Engineer – Central Compute, you will contribute to the design, development, and validation of next-generation high-compute ECUs that enable automated driving, vehicle intelligence, and immersive digital experiences.
This role is ideal for early-career engineers looking to grow within a world-class automotive organization.
Key Responsibilities
Hardware Design & Analysis
Bring-Up & Validation
Cross-Functional Collaboration
Quality & Compliance
Required Qualifications
Preferred Qualifications
Compensation: The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position, as well as geography of the selected candidate.
• The salary range for this role is 90,000- 136,200. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.
• Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.
Benefits:
• Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.
#LI-JK3
]]>GM is committed to Zero Emission, Zero Crashes and Zero Congestion vision.
About the Group
General Motors Research Labs is an applied research center focusing on creating and evaluating innovations for future vehicles. Our researchers conduct independent technical work, while initiating and leading collaborative projects with colleagues at academia and industry globally.
The Wireless Connectivity R&D group focuses on advancing both current and future connectivity technologies across cellular (4G/5G/6G), Wi-Fi, Bluetooth, UWB, and beyond.
Our mission is to:
Improve real-world connectivity performance and reliability in production vehicles
Maximize customer satisfaction for connectivity-dependent applications
Explore new algorithms and system configurations across all layers of the communication stack
Contribute to future connectivity standards and architectures
About the Role
We are seeking a Senior Researcher - Wireless Connectivity & AI to drive innovation at the intersection of wireless communications, AI/ML, and automotive applications.
This role combines deep technical expertise in wireless systems with advanced data-driven methods to unlock new capabilities and improve real-world performance beyond current limits.
What will YOU do?
Analyze connectivity system performance using data collected from field deployments, lab measurements, and simulations
Benchmark performance against commercial off-the-shelf (COTS) devices and identify key performance gaps
Develop models and methodologies—leveraging AI/ML and analytical techniques—to improve connectivity robustness and user experience
Design and evaluate system-level optimizations for in-vehicle connectivity across multiple radio technologies
Influence next-generation connectivity architectures and standards with a focus on enhancing customer-facing applications
Collect, preprocess, and analyze large-scale connectivity datasets from simulations, lab measurements, and field deployments
Develop predictive models for:
Physical layer (link-level) performance
End-to-end system and network performance
Your Skills & Abilities (Required Qualifications)
PhD in Electrical Engineering, Computer Science, Mathematics, Physics, or a related field
Strong background in wireless communications, including:
Physical layer and higher-layer protocols
Cellular (4G/5G) and WLAN systems
Real-world deployment considerations and KPI trade-offs
Solid foundation in:
Signal processing
Probability and statistics
Optimization
Estimation and detection theory
Information theory
Proven experience in AI/ML, including model development and evaluation
Proficiency in programming: Python, MATLAB, C/C++
Experience with deep learning frameworks (e.g., TensorFlow, PyTorch)
What Will Give You a Competitive Edge (Preferred Qualifications)
Experience in applied research and transitioning ideas into practical solutions
Background in system-level simulations or real-world measurement campaigns
Familiarity with automotive connectivity use cases and constraints
Contributions to research or standardization (publications, patents, 3GPP/IEEE involvement)
Why Join Us
This is a unique opportunity to work at the forefront of wireless connectivity innovation, combining AI, communications, and real-world automotive applications . You will have the ability to influence both current vehicle performance and future industry standards , while working with a highly skilled, multidisciplinary team.
]]> GM Defense is driving the future of military mobility by leveraging the best-in-class capabilities of General Motors for unmatched innovation, proven performance and breakthrough life-cycle economics. We deliver reliable, affordable, and innovative products across a full spectrum of capabilities – integrated vehicles, power and propulsion, autonomy, mobility, and security.
GM Defense IT is seeking a Staff System Analyst to lead complex business and technology initiatives supporting key areas of the business including Manufacturing, Customer Care & Aftersales, SAP, and Vehicle Engineering. This role will be aligned based on candidate background, capability, and business need. System Analysts work closely with stakeholders to understand their needs and translate them into functional and technical requirements and product backlogs for software engineering teams. They serve as the subject matter expert (SME) on respective teams, while coaching and mentoring to develop team capabilities. They will be expected to lead the most complex projects while delivering high quality projects on time. Additionally, you will be expected to share best practices and lessons learned both within your team and across cross-functional team. They research and evaluate various software and hardware options to determine the most suitable technology solutions for the organization's needs. They create detailed system design specifications, including data models, process flows, integration with upstream and downstream systems, and user interfaces, to guide the software engineering team. They work closely with software and system engineers to ensure that the system is developed or implemented according to the specified requirements. They design and execute testing protocols to validate system performance, reliability, compliance with standards, additional quality attributes and customer requirements.
Lead major cross-functional initiatives that support GM Defense business and engineering priorities.
Partner with business, engineering, manufacturing, SAP, supply chain, and IT stakeholders to define needs, evaluate options, and deliver scalable solutions.
Partner with IT security leadership, legal, and export compliance, to support cleared and controlled system solutions and help maintain secure, compliant environments.
Analyze complex business processes and system requirements and translate them into actionable solution designs
Drive improvements to business processes, system capabilities, data flows, and operational methods.
Serve as a subject matter expert within assigned domain areas and provide guidance to project teams and business leaders.
Identify risks, dependencies, compliance considerations, and integration impacts across initiatives.
Support delivery of solutions that meet GM standards while also addressing government defense and other government–regulated program contract requirements.
Influence adoption of new processes, tools, and ways of working across multiple stakeholder groups.
Bachelor’s degree in Information Technology, Engineering, Computer Science, or related field.
10+ years as a systems analyst, business systems analyst, related IT/business transformation role, IT software applications, requirements definition, process definition, testing, and IT Strategy and roadmap development.
Experience in regulated or government‑contract environments (defense, aerospace, or other regulated industries)
Experience leading large, complex initiatives with multiple stakeholders and dependencies.
Proven leadership experience in taking charge to drive completion of work.
Experience gathering requirements, conducting data gathering and analysis to understand business strategy requirements, driving to a solution design, and drive execution.
Demonstrated experience working across business and technical teams to implement system or process improvements.
Strong written and verbal communication skills with the ability to influence decisions and gain alignment.
Ability to work independently with broad decision-making latitude in a fast-paced, complex environment.
Ability to coach less experienced team members
Understanding of government data classifications and handling requirements, including concepts such as CUI, ITAR, EAR , export controls, and classified program sensitivities.
Knowledge of government cybersecurity and control frameworks such as CMMC, DFARS, NIST SP 800-171 , or NIST 800-5 3 .
Experience supporting one or more of the following domains:
Manufacturing systems and operations
Customer Care and Aftersales / warehouse processes.
SAP-enabled business processes and integrations.
Vehicle engineering or product development environments.
Global Purchasing and Supply Chain.
Experience working in highly controlled environments with security, compliance, or regulatory constraints.
Serve as subject matter expert related to interface problem identification, triage, and resolution of complex inquiries.
Experience leading efforts that require coordination across enterprise teams, suppliers, and external partners.
The strongest candidates will bring a combination of structured analysis, initiative leadership, business process expertise, and comfort operating in ambiguous environments. They should be recognized as strong problem solvers who can connect business needs to practical solutions, influence across organizations, and help GM Defense execute critical priorities with speed, discipline, and compliance.
#GMD
]]>General Motors is seeking a skilled Workday Extend Configurator to design, develop, and maintain robust Extend solutions within the Workday platform. This role is critical to ensuring that custom applications are effectively built using the latest Workday capabilities and consistently meet or exceed business requirements. You will join a dedicated Workday Integrations team focused on developing scalable solutions using advanced technologies, with the opportunity to contribute innovative ideas.
Design, configure, and develop Workday Extend applications and integrations using Workday Studio, Workday APIs, and other relevant tools.
Translate complex business requirements into technical specifications and Workday Extend solutions.
Collaborate with stakeholders to gather and analyze system requirements, ensuring solutions align with business objectives and IT system needs.
Utilize various computer languages and web programming languages to build and maintain Workday Extend applications.
Perform comprehensive testing and debugging of Workday Extend configurations to ensure data integrity and system performance.
Document technical designs, configurations, and processes for maintainability and knowledge transfer.
Participate in all phases of the software development lifecycle, from concept to deployment and ongoing support.
Stay up-to-date with Workday Extend features, best practices, and industry trends to continuously improve solutions.
2+ years of HR Technology experience (SAP, PeopleSoft, Workday) .
2+ years of most recent hands-on experience in building and debugging Workday Extend Applications , creating Workday custom reports , calculated fields and XSLTs .
Strong proficiency in Computer Program Design Techniques and experience with various Computer Languages.
Demonstrated experience in Web Programming Languages for developing and integrating applications.
Proven ability in determining IT system requirements and translating them into technical solutions.
Expertise in utilizing product configurators , specifically within the Workday platform ( Workday Extend, Studio , etc.).
Excellent problem-solving skills and attention to detail.
Strong communication and interpersonal skills, with the ability to collaborate effectively with cross-functional teams.
AI & Intelligent Systems Requirements
Basic, high-level understanding of Artificial Intelligence (AI) and Machine Learning (ML) concepts, with awareness of common use cases.
Some exposure or interest in how AI can be used in enterprise platforms, such as simple automation, basic analytics, or improving user experience.
Familiarity with AI tools or platforms is a plus but not required; willingness to learn and explore new technologies is important.
Interest in identifying simple opportunities where AI can improve workflows, productivity, or platform operations.
Workday certification in relevant modules (e.g., Extend, HCM, Integrations ) is a plus.
Hands-on experience with Java/.Net programming language.
Primary Responsibilities:
Interested individuals must meet the following minimum qualifications:
U.S. Department of Labor Completion of Apprenticeship Certificate in Die Maker trade or six (6) years of documented experience as an Die Maker
Must be able to satisfactorily complete the General Motors hiring process requirements which include comprehensive assessments, hair drug testing, and a background check
At least 18 years of age
Eligible to work in the United States
Must be willing to work flexible shift hours and day, afternoon, or night shift as well as overtime hours daily, weekends and holidays on those shifts with little notice.
This position may be filled with a Journeyperson or Journeyperson in Training; the Compensation ranges for a JIT include ($37.88 - $44.19) or a Journeyperson rate of $45.09. Certificates/credentials and scoring in interview will determine your status and pay.
GM DOES NOT PROVIDE IMMIGRATION-RELATED SPONSORSHIP FOR THIS ROLE. DO NOT APPLY FOR THIS ROLE IF YOU NEED OR WILL NEED GM IMMIGRATION SPONSORSHIP TO WORK OR TO REMAIN EMPLOYED AT GM (e.g., H-1B, TN, STEM OPT, etc.).
If you are a current GM employee operating under a collective bargaining agreement, please contact your local HR/LR for employee placement opportunities.
General Motors UAW hourly employment offers a very competitive compensation and benefit package. An annual incentive payout is also available, as qualified.
Relocation and travel expenses will be the responsibility of the applicant.
Physical Requirements
Quick response to safety instructions, alarms, and signals are a must
Ability to work and stand for extended periods
Comfortably wear personal protective equipment
Navigate a busy environment
Bend, twist, kneel, crouch, and reach
May need to lift or carry materials weighing up to 50 lbs. depending on department
Occasional sitting during certain tasks
Drive mobile equipment when needed
Please note – per the labor agreement between GM and the UAW, GM may share information and documentation relating to the credentials of applicants for this position (e.g., resumes, journeyperson cards, interview notes, certificates, etc.) with UAW personnel who have a need to know as part of their role on the UAW skilled trades team.
]]>Every day, our products move millions of people as we aim to make driving safer, smarter, and more connected, shaping the future of transportation on a global scale.
In a rapidly-evolving industry like automotive, the need for seamless hardware/software integration is paramount. As a GVHE Hardware Simulation Architect, you have the unique opportunity to shape GM's future by leading how hardware subsystems integrate with the vehicle and its software. In this role, you will act as a hardware‑systems simulation authority for GM, owning how GVHE hardware and controllers come together in multi‑domain virtual vehicles.
Key Responsibilities:
Qualifications:
As a Pipefitter, you will work under minimal supervision with a high level of independent judgement and problem solving. You should be flexible enough to take on and tackle multiple job assignments in a shift.
Preferred Experience Includes:
Experience with planned maintenance systems and predictive technologies
Experience with industrial robotics, automation, and conveyance systems
Primary Responsibilities:
Follow established safety procedures according to OSHA standards and company procedures
Maintain, dismantle, repair, and replace mechanical and hydraulic components (e. g. bearings, seals, details, carriers, etc.) on industrial machinery such as shafting, motors, generators, air compressors, engines, pumps, cylinders, gears, couplings, linkages, ball screws, high speed CNC spindles, coolant systems and filters, and combustion equipment and valves
Layout, assemble, fabricate, maintain, and repair piping systems
Use various hand or power tools for measuring, cutting, threading, grooving, bending, soldering, assembling, joining, and installing pipes, valves, and fittings
Read and interpret blueprints for the mechanical operation and assembly of conveyor systems, material handling systems, robots, and other automation
Operate mobile equipment (e.g. forklifts, vertical lifts, cranes)
Determine loading requirements to rig equipment and material for lifting
Set up and operate conventional or computer numerically controlled (CNC) machine tools such as lathes, milling machines, and grinders to cut, bore, grind, or otherwise shape parts to prescribed dimensions and finishes
Fabricate punches, tools, steel rule tools and t-sets to exact specifications
Plan sequences of operations for fabricating tools or assemblies using blueprints, sketches, or models
Determine quality of finished products, ensuring defect-free parts, by verifying dimensions, alignment, and clearances for conformance to specifications using measuring instruments such as calipers, gauge blocks, micrometers, and dial indicators
Interested individuals must meet the following minimum qualifications:
This position may be filled with a Journeyperson or Journeyperson In Training, the compensation ranges for a JIT include ($37.77-$44.06) or Journeyperson rate of $44.96. Certificates/credentials and scoring in interview will determine your status and pay.
General Motors UAW hourly employment offers a very competitive compensation and benefit package. An annual incentive payout is also available, as qualified.
Relocation and travel expenses will be the responsibility of the applicant.
Please note – per the labor agreement between GM and the UAW, GM may share information and documentation relating to the credentials of applicants for this position (e.g., resumes, journeyperson cards, interview notes, certificates, etc.) with UAW personnel who have a need to know as part of their role on the UAW skilled trades team.
We are seeking an AI Agent Engineer to design, build, and operationalize AI-powered agents that enhance employee productivity and decision-making in a complex enterprise environment. The ideal candidate combines strong AI/ML foundations, hands-on experience with agent frameworks, and a pragmatic approach to delivering business value in partnership with cross-functional teams.
Experience with Glean (or similar enterprise AI search/assistant platforms) is a strong plus.
What You'll Do:
Design and develop AI agents
Engineer and implement AI agents and workflows that automate and augment knowledge work.
Translate business requirements into robust agent designs, including tool orchestration, routing logic, and guardrails.
Prototype quickly, then harden solutions for reliability, scalability, and maintainability.
AI/ML and platform integration
Leverage LLMs and related AI services (e.g., retrieval-augmented generation, embeddings, vector search) to power agent capabilities.
Integrate agents with enterprise systems, APIs, and data sources (e.g., collaboration tools, knowledge repositories, ticketing systems).
Partner with platform teams (e.g., Glean, M365, internal APIs) to ensure secure and compliant integrations.
Agent lifecycle management
Define and implement monitoring, logging, and feedback loops to continuously improve agent performance.
Establish and maintain evaluation frameworks, metrics, and test harnesses for AI agent behavior and output quality.
Document agent architectures, decision logic, and dependencies for support and future enhancements.
Collaboration and ways of working
Collaborate closely with engineers, architects, data teams, and business SMEs in a highly matrixed, global environment.
Contribute to shared patterns, reusable components, and best practices for AI agent development.
Champion responsible AI, including security, privacy, compliance, and user trust considerations.
Your Skills & Abilities (Required Qualifications):
Bachelor’s degree in Computer Science, Engineering, Data Science, or related field; or equivalent practical experience.
3–7+ years of professional software engineering or AI/ML engineering experience in complex, enterprise environments.
Strong proficiency in at least one modern programming language (e.g., Python, TypeScript/JavaScript, Java).
Hands-on experience with LLM-based applications, AI frameworks, or agent tooling (e.g., LangChain, Semantic Kernel, custom orchestration frameworks).
Solid understanding of Prompt engineering and retrieval-augmented generation (RAG), RESTful APIs and integration patterns, and Data structures, algorithms, and basic ML/LLM concepts.
Experience building production services (microservices or serverless) with appropriate observability and testing.
What Will Give You A Competitive Edge (Preferred Qualifications):
Experience with Glean or similar enterprise AI search/assistant platforms (e.g., integrating sources, configuring tools, designing agents or workflows within the platform).
Experience with Microsoft 365 and AI assistants (e.g., Copilot) or other enterprise collaboration ecosystems.
Familiarity with Enterprise identity and access management concepts (e.g., RBAC, least privilege), Observability and telemetry for AI systems (e.g., logging, tracing, quality dashboards), and experimentation and A/B testing for AI features.
Background in user-centric design or close collaboration with UX teams for AI experiences.
#LI-SB3
]]>Location: Hybrid (Onsite 1–3 days/week - Tues., Wed., Thurs.)
Organization: Global Instrument Panel Cluster & HUD Engineering
Job Type: Full-Time
Role Overview
The HUD Mechanical & Packaging Senior Engineer owns end-to-end build to print design of mechanical architecture and packaging execution. This role drives design, integration, and validation of robust, manufacturable hardware while enabling GM’s in-house HUD strategy.
Key Responsibilities
Own build to print mechanical architecture and packaging across requirements, design, validation, and launch
Translate optical/system requirements into compact, manufacturable build to print designs
Lead packaging studies and trade-offs for volume, cost, and performance
Integrate PGU, mirrors, lenses, and electronics into build to print assemblies
Perform mechanical design and surrounding packaging tolerance stack-up analysis to ensure alignment
Design build to print Head Up Display modules ensuring strategy alignment to vibration, thermal, and environmental robustness criteria
Collaborate with Creative Design and Vehicle Integration teams to enable vehicle themes as well as best practices and HUD requirements
Align packaging with IP, HVAC, wiring, windshield, and vehicle interfaces
Apply GD&T and DFx for manufacturability and cost
Drive early packaging design feasibility and risk identification
Lead supplier mechanical design and integration reviews
Support builds, validation, and root cause analysis of mechanical build to print design
Provide data-driven updates to leadership
Tools & Software Requirements
3D CAD (NX, Vis MockUp, CATIA, Creo)
GD&T, Modal, and tolerance analysis tools (Abaqus)
Packaging / clearance tools
Data analysis tools (Excel, MATLAB, Python, Ansys)
PLM (Teamcenter or equivalent)
Validation tools (Jira, PRTS)
Thermal / structural simulation tools
Organizational Impact
Establish ownership of HUD build to print packaging strategy
Improve opto-mechanical integration and performance
Reduce late-stage packaging issues
Drive consistent engineering execution
Support scalable GM-owned HUD architecture
Required Qualifications
Bachelor’s in Mechanical Engineering or related field
5+ years experience in mechanical design/packaging
Strong CAD experience
Knowledge of GD&T and tolerance stack-up
Cross-functional collaboration experience
Strong analytical and communication skills
Preferred Qualifications
HUD or display packaging experience
Opto-mechanical integration experience
Thermal/vibration design knowledge
GM processes familiarity
Advanced degree
Six Sigma / DFSS
#LI-SW1
Why Join Us
At GM, you’ll be at the forefront of shaping the future of connected, electric, and autonomous vehicles . You’ll work on cutting-edge antenna systems alongside some of the brightest minds in automotive and RF technology — with the resources to make an impact at scale. We offer competitive compensation, growth opportunities, and a culture that values innovation, inclusion, and forward thinking . This is a unique opportunity to lead, innovate, and help millions of customers around the world stay connected on the move .
Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.
Benefits : GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.
Diversity Information
General Motors is committed to being a workplace that is not only free of discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that workforce diversity creates an environment in which our employees can thrive and develop better products for our customers. We understand and embrace the variety through which people gain experiences whether through professional, personal, educational, or volunteer opportunities.
We encourage interested candidates to review the key responsibilities and qualifications and apply for any positions that match your skills and capabilities.
]]>GM Defense is driving the future of military mobility by leveraging the best-in-class capabilities of General Motors for unmatched innovation, proven performance and breakthrough life-cycle economics. We deliver reliable, affordable, and innovative products across a full spectrum of capabilities – integrated vehicles, power and propulsion, autonomy, mobility, and security.
GM Defense IT is seeking a Sr. System Engineer to support critical GM Defense work by leading and executing systems engineering activities across secure and regulated environments. This role will help establish structure, repeatability, and operational discipline across the GM Defense IT landscape, while supporting project delivery, operational health, customer support, compliance, and issue resolution in collaboration with enterprise architecture, security, and cross-functional IT teams. System Engineers are responsible for partitioning and allocating product, feature and system functionality to implementation teams. Safety, reliability, and regulatory compliance are factors considered in system design with the goal of optimizing performance, design, testability, and deployability. System engineers identify use cases, define functional technical requirements, enable robust implementation designs, and ensure built-in quality with test definition and traceability.
This role should operate as a fully qualified and experienced individual contributor with broad knowledge of the function and related areas, strong independent judgment on significant matters, and the ability to work independently with minimal guidance. The role is expected to break broad challenges into implementable initiatives, solve diverse non-standard problems, drive cross-team delivery, and serve as a resource and mentor to less experienced colleagues.
Work across numerous project teams, often as the primary systems engineering resource, to develop requirements, coordinate with partner support teams, execute project tasks, deliver solutions, and provide lifecycle support.
Partner with GM IT enterprise architecture to improve and support applications, tools, and technical solutions that streamline IT processes while conforming to cybersecurity and compliance controls.
Partner with GM IT security leadership, including the ISSM, to support cleared and controlled systems and help maintain secure, compliant environments.
Manage and improve the operational health of information systems, including patching, upgrades, refreshes, maintenance, troubleshooting, and corrective actions in support of continuing operations.
Continuously monitor, validate, and document implemented security controls, and support audit activities through analytical review, reporting, and compliance-focused process discipline.
Develop and maintain self-help tools, user guides, install guides, and knowledge articles that improve customer interactions and strengthen repeatable support processes.
Serve as a day-to-day technical point of contact for customers and internal IT teams, helping organize workstreams, resolve issues, and support project and operational needs.
Develop and operate tools and documented processes that help manage the secure and operational health of the environment.
Host triage sessions and coordinate cross-functional workstreams to troubleshoot issues, identify root causes, and drive timely resolution of incidents and systemic problems.
Identify opportunities to improve internal processes, services, and structures, and translate broad challenges into practical, implementable solutions that support GM Defense priorities.
Act as a resource and mentor for less experienced team members and help drive strong execution across cross-functional teams.
Your Skills & Abilities ( Required Qualifications)
Bachelor’s degree in Information Technology, Engineering, Computer Science, or a related field OR equivalent experience.
7+ yrs of experience delivering IT systems in a professional or corporate environment.
Experience working independently on significant technical matters with the ability to develop solutions, manage competing priorities, and drive work across teams with minimal guidance.
Experience gathering requirements, supporting solution design, and working with multiple technical teams to deliver robust systems that meet functionality, stability, performance, and resiliency expectations.
Experience in one or more of the following areas: systems engineering, infrastructure support, application support, operational health management, server engineering, security operations, or technical troubleshooting.
Experience developing applications, AI agents, automation, tooling, or technical solutions that improve supportability and operational efficiency.
Strong written and verbal communication skills, including the ability to work across customers, project teams, support teams, architects, and security partners.
Travel required. Most travel will be driving between GM locations within the southeast MI area - potential 50-60%. Travel outside of the southeast MI – potential 10-15%.
Prior experience supporting government, defense, aerospace, or other regulated environments.
Understanding of government data classifications and handling requirements, including concepts such as CUI, ITAR, EAR , export controls, and classified program sensitivities.
Knowledge of government cybersecurity and control frameworks such as CMMC, DFARS, NIST SP 800-171, or NIST 800-53 .
Experience supporting cleared systems or other highly controlled environments with security, compliance, or regulatory constraints.
Experience with server engineering activities such as installation, patching, upgrades, and refreshes.
Experience in a defined architecture or technology domain such as Java, .NET, infrastructure platforms , or related enterprise technologies.
The strongest candidates will bring a hands-on systems engineering background, strong operational discipline, and the ability to bring structure to complex day-to-day challenges. They should be effective problem solvers who can identify systemic issues, support secure and compliant operations, work effectively across multiple teams, and deliver practical solutions that improve reliability, supportability, and business outcomes for GM Defense.
#GMD
]]>Responsibilities Include:
Basic Qualifications:
Preferred Qualifications:
Compensation: The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of New York, Colorado, California, or Washington.
· The salary range for this role: is $129,000 to $198,400. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.
· Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.
· Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more
REQUIREMENTS : Bachelor's degree in Electrical Engineering, Electronic Engineering or related field of study and Seven (7) years of experience as a Product Engineer, Battery Development Engineer, Control Engineer, or related occupation. Alternatively, the employer will accept a Master's degree in Electrical Engineering, Electronic Engineering or related field of study and Five (5) years of experience as a Product Engineer, Battery Development Engineer, Control Engineer, or related occupation. Five (5) years of experience with: Automotive Electric Power and Low Voltage Batteries; Batteries, Electric Power, Battery Management and Vehicle Integration; Battery product and process knowledge including automotive manufacturing and supplier battery plants; Battery teardown analysis, root
causing and development of countermeasures; Dealership/plant battery testing tools to guide appropriate improvements that lead to reduced battery warranty and associated costs; Big Data Analytics - End to end analysis of battery information from installation in the vehicle, through logistics and dealership into customer hands to pinpoint issues and develop countermeasures.
#LI-DNI
]]>Hybrid: This role is categorized as hybrid. This means the successful candidate is expected to report onsite at the Mountain View, CA or Austin, TX location at least three times per week minimum.
About the Team:
Join the MyAccount team, the group behind one of GM’s most impactful customer-facing web applications. MyAccount empowers millions of users worldwide to manage their GM experience—from creating and managing accounts to updating personal information, configuring security settings, connecting to their vehicles, enrolling in rewards programs, and accessing a wide range of high-value services. MyAccount supports global markets across multiple regions and languages, delivering seamless and secure digital experiences at scale.
About the Role:
As a Staff Software Engineer, you will help set the technical direction for the MyAccount platform and related customer identity experiences. This is a senior individual contributor role focused on solving complex technical problems, driving architectural decisions, and influencing engineering strategy across multiple teams. You will partner closely with product managers, designers, security partners, platform teams, and fellow engineers to deliver scalable, secure, reliable, and high-performing customer experiences. You will be expected to operate with high autonomy, connect technical investments to business outcomes, and raise the engineering bar through design leadership, mentorship, and strong execution.
Lead the architecture, design, and implementation of complex web and platform capabilities across the MyAccount ecosystem
Drive technical strategy and architectural alignment across multiple teams, services, and stakeholder groups
Develop web applications using Next.js and React frameworks, JavaScript, and TypeScript where appropriate
Design and develop application programming interfaces (APIs) that enable core business capabilities and support long-term platform evolution
Translate business goals into pragmatic technical plans, engineering roadmaps, and scalable implementation approaches
Improve system reliability, scalability, performance, observability, and developer productivity across the platform
Ensure system monitoring and alerting are in place for both existing applications and new features to detect performance degradation
Proactively identify and remediate software issues, including code quality concerns, design inconsistencies, operational weaknesses, and security vulnerabilities in code, configuration, or solution architecture
Apply strong software engineering fundamentals, standard design patterns, and established frameworks throughout all phases of the software development lifecycle
Collaborate with cross-functional teams to build robust applications in a fast-paced, dynamic environment
Develop unit and automated tests to ensure high code quality and application reliability
Drive clarity and alignment on technical tradeoffs, helping teams make sound decisions that balance speed, quality, and long-term maintainability
Mentor and coach engineers across levels, including senior engineers, through design reviews, technical guidance, and day-to-day collaboration
Foster a culture of collaboration and knowledge sharing by documenting proposed software solutions and existing systems to maintain alignment with GM engineering standards
Stay current with industry trends, concepts, and best practices, and apply them where they create meaningful product or engineering value
Consistently uphold compliance with GM standards and industry best practices
Hold yourself and peers accountable for exemplifying GM’s values and cultural behaviors
Your Skills & Abilities (Required Qualifications)
Bachelor’s degree in Computer Science or a related field, or equivalent practical experience
8+ years of experience in software development, including significant experience building and evolving customer-facing web applications or platforms at scale
Strong hands-on experience contributing to software project delivery, including deployment and operational ownership
Deep understanding of software architecture, distributed systems, APIs, testing strategy, quality assurance, and solution validation, including test automation
Strong experience maintaining, debugging, and improving live software applications to ensure stability, performance, and resilience
Proven ability to drive technical direction and influence architectural decisions across team boundaries without direct authority
Strong communication and collaboration skills, with the ability to work effectively across engineering, product, design, security, and platform teams
Demonstrated experience mentoring engineers and raising the technical bar within an organization
Ability to connect technical initiatives to business objectives and make sound decisions in complex problem spaces
What Will Give You A Competitive Edge (Preferred Qualifications)
Master’s degree in Computer Science or a related field
Strong experience with modern web frameworks such as Next.js, Angular, React, or Ember
Experience with customer identity, authentication, account management, consent, profile, or other security-sensitive systems
Experience modernizing platforms and reducing technical complexity across a large product surface
Experience driving improvements in observability, reliability, and operational excellence for customer-facing systems
Track record of influencing technical roadmaps and delivering cross-functional initiatives with broad organizational impact
Additional Information:
This job may be eligible for relocation benefits.
GM DOES NOT PROVIDE IMMIGRATION-RELATED SPONSORSHIP FOR THIS ROLE. DO NOT APPLY FOR THIS ROLE IF YOU NEED GM IMMIGRATION SPONSORSHIP NOW OR IN THE FUTURE. THIS INCLUDES DIRECT COMPANY SPONSORSHIP, ENTRY OF GM AS THE IMMIGRATION EMPLOYER OF RECORD ON A GOVERNMENT FORM, AND ANY WORK AUTHORIZATION REQUIRING A WRITTEN SUBMISSION OR OTHER IMMIGRATION SUPPORT FROM THE COMPANY (e.g., H-1B, OPT, STEM OPT, CPT, TN, J-1, etc.)
Compensation : The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of New York, Colorado, California, or Washington.
Benefits:
Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.
General Motors has needs for qualified Industrial Electrician Journeypersons. Working under minimal supervision, the skilled trades Electrician Journeyperson is responsible for layout, installation, repair and preventative maintenance of complicated electrical equipment and circuits, troubleshooting and technical expertise on control systems.
Primary Responsibilities:
Follow established safety procedures according to OSHA standards and company procedures
Responsible for the maintenance and repair of electrical equipment
Analyze and troubleshoot electrical malfunctions in equipment and related components, diagnosing and correcting the problems quickly to avoid production delays
Perform electrical preventative and corrective maintenance on all plant equipment
Promote teamwork and show a willingness to work with other departments
Participate in continuous improvement activities
Read and interpret drawings and wiring schematics
Demonstrate strong problem-solving skills
Interested individuals must meet the following minimum qualifications:
At least six (6) years of related experience as an Electrician or a U.S. Department of Labor Certificate of Completion in the Electrical trade.
Must be able to satisfactorily complete the General Motors hiring process requirements which includes comprehensive assessments, drug testing, and a background check
At least 18 years of age
Eligible to work in the United States
Must be willing to work flexible shift hours and day, afternoon, or night shift as well as overtime hours daily, weekends and holidays on those shifts with little notice
GM DOES NOT PROVIDE IMMIGRATION-RELATED SPONSORSHIP FOR THIS ROLE. DO NOT APPLY FOR THIS ROLE IF YOU NEED OR WILL NEED GM IMMIGRATION SPONSORSHIP TO WORK OR TO REMAIN EMPLOYED AT GM (e.g., H-1B, TN, STEM OPT, etc.).
If you are a current GM employee operating under a collective bargaining agreement, please contact your local HR/LR for employee placement opportunities.
This position may be filled with a Journeyperson or Journeyperson In Training, the compensation ranges for a JIT include ($37.77-$44.06) or Journeyperson rate of ($44.96). Certificates/credentials and scoring in interview will determine your status and pay.
Physical Requirements:
Quick response to safety instructions, alarms, and signals are a must
Ability to work and stand for extended periods
Comfortably wear personal protective equipment
Navigate a busy environment
Bend, twist, kneel, crouch, and reach
May need to lift or carry materials weighing up to 50 lbs. depending on department
Occasional sitting during certain tasks
Drive mobile equipment when needed
General Motors UAW hourly employment offers a very competitive compensation and benefit package. An annual incentive payout is also available, as qualified.
Relocation and travel expenses will be the responsibility of the applicant.
Please note – per the labor agreement between GM and the UAW, GM may share information and documentation relating to the credentials of applicants for this position (e.g., resumes, journeyperson cards, interview notes, certificates, etc.) with UAW personnel who have a need to know as part of their role on the UAW skilled trades team.
#LI-FL1
Join General Motors Design’s Color, Materials and Finish (CMF) group in Warren, Michigan, where art, design and technology come together to shape the future of mobility. As a Creative Designer, you will contribute to a connected global design team developing forward-thinking, production-oriented CMF solutions across GM programs and brands. You will research customer and cultural trends, translate insights into compelling design proposals, and help carry concepts from inception through implementation. This role is an opportunity to make a visible impact through innovative, human-centered and sustainable color and material experiences.
Lead CMF strategy, concept development and execution for texture, color, materials and soft-trim solutions that reinforce brand DNA.
Research global design trends, color theory, materials technology and future customer needs across a broad range of demographics.
Develop cohesive CMF proposals with strong command of proportion, composition and the translation of 2D ideas into 3D concepts.
Champion innovative, sustainable and responsible materials, coatings, finishes and processes that support GM quality and sustainability goals.
Collaborate with designers, sculptors, engineers and other cross-functional partners to resolve CMF content and advance program deliverables.
Revise, refine and track design proposals while maintaining alignment to program timing and decision milestones.
Prepare design documentation, presentations and prototypes that clearly communicate concepts and support implementation.
Bachelor’s degree in automotive design, industrial design, product design, interior design, fashion design, textile design, architecture, graphic design or a closely related design discipline.
Professional experience in CMF design for automotive, product or a related industry.
Highly proficient 2D rendering and digital visualization skills using Adobe Photoshop, Illustrator or equivalent software.
Demonstrated understanding of 3D surface language and experience with 3D visualization or AI-enabled design tools such as VRED, Alias, Rhino, Blender, Vizcom AI or similar.
A portfolio demonstrating creative problem solving, design judgment, conceptual ideation, trend and inspiration boards, color palettes, material concepts, digital rendering, prototyping and translation from 2D proposals to 3D concepts.
Understanding of how CMF design influences user experience and the customer journey.
Ability to work onsite full time in Warren, Michigan.
Submit a portfolio with your resume and application profile; an online link may be included in your resume or application, or a PDF may be uploaded as a separate attachment named LAST NAME, FIRST NAME (for example, Smith, John.pdf).
Portfolio work must not be subject to a non-disclosure or confidentiality agreement; work owned by a current or former employer or another third party requires express written consent before it is shared with GM.
Portfolio submission is required. Applications without a portfolio will not be considered. Candidates must meet the required qualifications and skillsets for this position; required qualifications cannot be waived for hiring.
Experience leading complex CMF or design programs from concept through implementation.
Experience in automotive design or production design within a global, cross-functional organization.
Advanced knowledge of sustainable materials, coatings, finishes and emerging materials technologies.
A strong understanding of global customer and cultural trends, with the ability to connect insights to future mobility experiences.
Experience using AI-assisted visualization or prototyping workflows to accelerate design exploration and communication.
REQUIREMENTS : Bachelor’s degree in Electrical and Computer Engineering, Computer Science, Mechanical Engineering, or related field of study. Five (5) years of experience as an Embedded Software Engineer, Embedded Controls Engineer or related occupation. OR Master's degree in Electrical and Computer Engineering, Computer Science, Mechanical Engineering, or related field of study. Two (2) years of experience as an Embedded Software Engineer, Embedded Controls Engineer or related occupation. Two (2) years of experience with the following: Embedded software development; System design diagnostics strategies and control systems for embedded software applications; Testing strategies including SiL HiL and Vehicle-Level testing frameworks; C C++ programming and Python scripting; Diagnostics strategies software verification and validation methodologies; and Software testing environments.
#LI-DNI
]]>REQUIREMENTS: Bachelor's degree in Mechanical Engineering, Computer Engineering, Computer Science, Electrical Engineering, or related field of study and Five (5) years of experience as an Embedded Software Engineer, Validation Engineer, or related occupation. Alternatively, the employer will accept a Master's degree in Mechanical Engineering, Computer Engineering, Computer Science, Electrical Engineering, or related field of study and Three (3) years of experience as an Embedded Software Engineer, Validation Engineer, or related occupation. Three (3) years of experience with: Designing, developing, and testing Microcontroller and ECU Abstraction Layer and Complex Drivers for AUTOSAR; Reading schematics and understanding of basic electrical circuits; Real Time Operating Systems (RTOS) for multi-core microcontroller; ARM, PowerPC, and Renesas microcontrollers; Performing root cause analysis with Integrated Basic Software and Application Software on multi-core microcontrollers; and Embedded compiler, linker, debugging tools, and software including Lauterbach, ETAS INCA, CANalyzer, oscilloscopes, and other general lab equipment.
#LI-DNI
]]>We are looking for a Staff Software Engineer, Cloud Platform - Nova to join the Atmos team building GM’s next generation cloud platform, Nova. Nova powers customer and vehicle-centric systems across GM, including areas such as OnStar, GM Energy, and Commercial and Fleet partnerships. This role is for a strong software engineer with platform experience who can lead through technical execution, build reusable platform capabilities, and make it easier for internal platform customers to build and run software at scale.
This is a strong opportunity for an engineer who wants to take on meaningful technical challenges at real scale. The size, complexity, and reach of the platform create an environment where great engineers can have outsized impact by simplifying hard problems, building reusable abstractions, and improving how large numbers of teams deliver software. The scope of the role is unusual: the systems you build will support a broad set of internal customers and power important customer and vehicle capabilities across GM.
This role will focus heavily on Kubernetes-based platform engineering and on the operational patterns required to run highly reliable services. The right candidate will have experience running platforms on Kubernetes, building operators and related control-plane capabilities, and abstracting away platform complexity so that customers can focus on delivering business value. This engineer will help shape the architecture and developer experience of a multi-cloud platform running on Azure and GCP while improving monitoring, observability, deployment patterns, and overall service operability. This role is especially well suited for an engineer who understands how to turn infrastructure into a product by creating paved roads, abstractions, and control-plane capabilities that make the secure, reliable path the easiest path for engineering teams.
This job may be eligible for relocation benefits.
Company Vehicle: Upon successful completion of a motor vehicle report review, you will be eligible to participate in a company vehicle evaluation program, through which you will be assigned a General Motors vehicle to drive and evaluate. Note: program participants are required to purchase/lease a qualifying GM vehicle every four years unless one of a limited number of exceptions applies.
Compensation:
GM DOES NOT PROVIDE IMMIGRATION-RELATED SPONSORSHIP FOR THIS ROLE. DO NOT APPLY FOR THIS ROLE IF YOU WILL NEED GM IMMIGRATION SPONSORSHIP NOW OR IN THE FUTURE. THIS INCLUDES DIRECT COMPANY SPONSORSHIP, ENTRY OF GM AS THE IMMIGRATION EMPLOYER OF RECORD ON A GOVERNMENT FORM, AND ANY WORK AUTHORIZATION REQUIRING A WRITTEN SUBMISSION OR OTHER IMMIGRATION SUPPORT FROM THE COMPANY (e.g., H-1B, OPT, STEM OPT, CPT, TN, J-1, etc.)
#LI-CC1
]]>Hybrid: This role is classified as hybrid. The successful candidate is expected to report to the Milford, Michigan, location at least three days per week.
The Low Voltage Infrastructure Team, within the Embedded Platform Systems & Infrastructure organization, develops systems, software, and controls for on-vehicle low-voltage power generation, energy storage, power management, power distribution, and consumption control.
This is an exciting opportunity to join a newly formed team as we advance the next generation of low-voltage power architectures and consumption-control strategies for SDV 2.0.
As a Controller Integration Engineer, you will integrate and test control-software releases on bench and vehicle assets. You will provide system-level expertise to verify software operation across multiple controllers, troubleshoot bench- and vehicle-level issues, and develop recommended solutions.
Collaborate with cross-functional teams to define and document thorough, efficient test scenarios.
Verify software functionality on bench and vehicle assets using advanced testing methods and tools, delivering on time and with the quality needed to meet program milestones.
Troubleshoot, identify, and root-cause issues involving system features, controller hardware, software, calibrations, and other components that prevent systems from meeting design intent. This may include development activities, build events, buyoff rides, test trips, and general fleet usage.
Work with and support technical specialists to resolve challenging system-interaction issues.
Develop robust methods, techniques, and technologies to predict, prevent, and resolve integration issues.
Develop experimental software for proposed changes and perform integration testing with minimal direction from lead engineers.
Analyze software defects, determine root cause, develop software solutions, test and verify fixes, and drive issues to closure.
Conduct and participate in work-product reviews for algorithms, software, and specifications, incorporating I/O functional requirements and test cases.
Provide documented examples of process, tool, and other improvements to standard work.
Collaborate with cross-functional and global teams in the United States, Canada, and India to meet project deliverables.
Manage and lead multiple projects and assignments with a high level of autonomy and accountability for results.
Your Skills & Abilities (Required Qualifications):
Bachelor's degree in Computer Science, Electrical Engineering, Software Engineering, Mechanical Engineering, Computer Engineering, or a related field.
At least 5+ years of professional experience in software integration, CI/CD, and/or DevOps, including experience with tooling, infrastructure solutions, and automated testing.
Experience with software development and testing, instrumentation and benches such as dSPACE, Simulink, Stateflow, ETAS INCA, and Vehicle Spy.
Knowledge of programming languages such as C, C++, assembly, Perl, or Java.
Familiarity with microprocessor and microcontroller design and theory.
Ability to independently investigate issues using limited information and demonstrate a high level of analytical ability when resolving complex problems.
Proven leadership capabilities and a track record of driving results, demonstrating initiative, and maintaining strong ownership and accountability.
Highly motivated, tenacious, and curious, with a passion for innovation and continuous improvement.
Creative and disciplined, with a strong sense of ownership, responsibility, and commitment to on-time delivery.
Ability to manage multiple tasks with competing priorities.
Strong interpersonal skills and the ability to work effectively with diverse teams.
What Will Give You A Competitive Edge (Preferred Qualifications):
Master's degree in Computer Science, Electrical Engineering, Software Engineering, Mechanical Engineering, Computer Engineering, or a related field.
8+ years of professional experience in software integration, CI/CD, and/or DevOps, including experience with tooling, infrastructure solutions, and automated testing.
Experience working in an Agile framework.
Experience with automotive communication protocols, including Ethernet, CAN, and LIN.
Project management skills, including the ability to plan and prioritize work to deliver required objectives on time and with quality.
The Role:
As the Technical Specialist - HW/SW integration for the SDV 2.0 Aggregator supporting the Ultifi platform, you will plan, lead, and execute SDV 2.0 hardware–software as a product. You will provide technical direction for both internal GM teams and external suppliers, using quantitative and qualitative data to solve highly complex problems. You will also develop and drive strategic software and systems solutions that enable key business and program initiatives.
What You’ll Do:
Your Skills and Abilities (Required Qualifications):
What Can Give You a Competitive Edge (Preferred Qualifications):
The ML Compute Platform is part of the AI Compute Platform organization within Infrastructure Platforms. Our team owns the cloud-agnostic, reliable, and cost-efficient compute backend that powers GM AI. We’re proud to serve as the AI infrastructure platform for teams developing autonomous vehicles (L3/L4/L5), as well as other groups building AI-driven products for GM and its customers.
We enable rapid innovation and feature development by optimizing for high-priority, ML-centric use cases. Our platform supports the training and deployment of state-of-the-art (SOTA) machine learning models with a focus on performance, availability, concurrency, and scalability. We’re committed to maximizing GPU utilization across platforms (B200, H100, A100, and more) while maintaining reliability and cost efficiency.
About the Role:
We are looking for a Senior Software Engineer to join our team and help us scale our platform for performance, reliability, and usability. You’ll be responsible for building critical backend services, integrating with GPU hardware and orchestration systems, and driving improvements to both system architecture and user experience.
This is a hands-on engineering role that requires a strong background in distributed systems, infrastructure, and a product mindset with a keen eye for user experience.
Your Skills & Abilities (Required Qualifications)
Design core platform backend software components
Experience cloud platforms like GCP, Azure
Thrive in a dynamic, multi-tasking environment with ever-evolving priorities. Interface with other teams to incorporate their innovations and vice versa
Analyze and improve efficiency, scalability, and stability of various system resources
Proactively identify, drive and design large initiatives across GM ML ecosystem
At a Minimum We'd Like You To Have
5+ years of industry experience\
Expertise in either Go, C++, Python or other relevant coding languages
Strong background with kubernetes at scale
Relevant experience building large-scale with distributed systems
Experience leading and driving large scale initiatives
Experience working with Google Cloud Platform, Microsoft Azure, or Amazon Web Services
What Will Give You a Competitive Edge (Preferred Qualifications)
Hands-on experience in ML platforms
Experience with GPU/TPU optimizations
Experience with training frameworks like PyTorch, TorchX
Experience with Ray framework
Leadership/active participation in the open source community
Compensation: The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of New York, Colorado, California, or Washington.
The salary range for this role is $155,420 to $395,900. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.
Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.
Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.
Benefits:
Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.
Relocation: This job may be eligible for relocation benefits.
Remote/Hybrid: This role is based remotely but if you live within a 50-mile radius of Mountain View, you are expected to report to that location three times a week, at minimum.
]]>REQUIREMENTS: Bachelor’s degree in Mechanical Engineering, Electrical Engineering, or related field of study and Four (4) years of experience as a Calibration Engineer, Mechanical Engineer, or related role. Four (4) years of experience with the following: Embedded Controls; Tools commonly used in calibration including INCA, Vehicle Spy, CRETA, MDA, Matlab, and Simulink; Hardware and Software-in-the-Loop Systems; and Vehicle Control System Integration and Debugging. Two (2) years of experience with the following: Electrification propulsion system architectures; HV battery systems and controls; AutoVal; and Electric Vehicle On-Board Diagnostics.
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]]> Vacancy Status:
This posting is for an existing vacancy within the organization and is open to new applications. (Backfill)
AI Disclosure:
As part of the application process, Artificial Intelligence will be used in the hiring process for this role
Hybrid :
This role is categorized as hybrid. This means the successful candidate is expected to report to Markham Elevation Center three times per week, at minimum [or other frequency dictated by the business].
About the role:
The Staff Android Developer – Infotainment is a senior technical leader responsible for designing, building, and evolving in-vehicle Android applications and platform components that power our infotainment experiences. This role sets technical direction for a product area, drives cross-team alignment, and raises the bar for Android engineering quality across the organization.
Key Responsibilities
Own end-to-end design and implementation of complex Android infotainment features and services, from requirements through deployment and maintenance.
Define and evolve application and system architectures (e.g., modularization, data contracts, error handling, state management) across multiple apps and services.
Lead technical investigations and resolution of complex issues involving Android framework, vehicle services, vendor stacks, and hardware constraints.
Partner with Product, UX, Systems, and Platform teams to translate PRDs and system requirements into robust Android designs.
Guide the adoption of best practices for performance, stability, observability, and testability in an in-vehicle environment.
Mentor and coach other engineers, providing guidance on design reviews, code quality, and debugging strategies.
Influence platform and toolchain decisions (Android version upgrades, AGP/JDK/Kotlin moves, CI/CD, quality gates) and drive their rollout.
Collaborate with Tier-1/SOC vendors and internal platform teams on Android bring-up, integration, and certification topics.
Core Technical Requirements:
8–10+ years of professional Android development experience, including shipping and operating large, complex apps or system components in production.
Strong proficiency in Kotlin and Java; comfort with C++/Golang for performance-critical or legacy components.
Deep understanding of Android internals and app architecture:
Components, lifecycles, concurrency, permissions, multi-process and multi-user behavior.
Modern patterns such as MVVM and Clean Architecture, with a focus on testability and clear boundaries.
Development experience in 3D Filament/Unreal/Unity/OpenGL ES/Vulkan
Experience with large, modular Gradle-based Android codebases (multi-module projects, shared libraries, feature flags) and usage of AI (Curson/Claude) in development.
Android Automotive / Infotainment Experience :
Hands-on experience building applications or middleware for Android Automotive or other embedded/IVI systems.
Familiarity with AAOS/AOSP for automotive:
Framework services, CarService, VHAL/CarProperty, and profile/user models.
Platform constraints and safety/distraction considerations for in-vehicle UIs.
Experience integrating infotainment apps with:
Vehicle signals and services (e.g., vehicle data, profiles, settings).
Audio, media, Bluetooth, connectivity, navigation, or projection stacks (Android Auto, CarPlay).
System Design, Performance, and Reliability:
Proven ability to design scalable, maintainable architectures that work under tight CPU, memory, storage, and boot-time constraints.
Experience analyzing and improving performance (startup time, rendering, memory, threading) in resource-constrained or real-time environments.
Strong debugging skills across the Android stack (logs, traces, ANRs, crashes, binder issues, resource leaks).
Platform, Build, and Tooling:
Deep experience with Gradle, Android Gradle Plugin, and Android SDK/NDK tooling (build optimization, dependency management, reproducible builds).
Proven experience contributing to multi-release Android platform upgrades (e.g., 2+ major version jumps):
Resolving API and behavior changes.
Updating AGP/JDK/Kotlin and SDK/build-tools.
Coordinating regression-fix efforts across multiple teams.
Comfortable working directly with AOSP-style trees and manifests (repo, branches, rebases, vendor drops).
Quality, Testing, and Observability:
Strong background in automated testing:
Unit tests (JUnit), instrumentation/UI tests (Espresso), and integration tests.
Testable design and dependency injection for Android components.
Experience with code-quality and static-analysis tooling (e.g., lint, coverage, SonarQube or equivalent) and integrating them into CI pipelines.
Ability to define logging, metrics, and analytics strategies suited for in-vehicle systems with intermittent connectivity and strict safety/privacy requirements.
Leadership and Collaboration :
Demonstrated track record of technical leadership:
Setting technical direction for a domain or product area.
Driving alignment across multiple feature or platform teams.
Experience mentoring senior and mid-level engineers; raising code and design-review standards.
Strong cross-functional collaboration skills with Product, UX, Systems, DevOps, QA, and external partners.
Clear, concise communication of complex technical topics to both technical and non-technical stakeholders.
Nice to Have
Experience with Google Automotive Services (GAS), certification requirements, or xTS (CTS/VTS/XTS) test suites.
Background in safety- or security-sensitive domains (e.g., automotive, aerospace, medical devices) with relevant coding or process standards.
Familiarity with virtualization or bench-based development and testing workflows for infotainment systems.
Education and Training
Bachelor's degree in electrical engineering, Computer Science, Computer Engineering, or Software Engineering.
Compensation:
The salary range for this role is $147,000 to $196,600. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.
GM DOES NOT PROVIDE IMMIGRATION-RELATED SPONSORSHIP FOR THIS ROLE. DO NOT APPLY FOR THIS ROLE IF YOU WILL NEED GM IMMIGRATION SPONSORSHIP NOW OR IN THE FUTURE
Benefits:
The goal of the General Motors of Canada total rewards program is to support the health and well-being of you and your family. Our comprehensive compensation plan currently includes the following benefits, in addition to many others:
REQUIREMENTS : Bachelor's degree in Mechanical Engineering, Electrical Engineering, Computer Science, or related field of study. Five (5) year of experience as a Senior Technical Embedded Software Engineering, Technical Leader, Project Lead, Senior Software Engineer, or related occupation. OR Master’s degree in Mechanical Engineering, Electrical Engineering, Computer Science, or related field of study. Two (2) year of experience as a Senior Technical Embedded Software Engineering, Technical Leader, Project Lead, Senior Software Engineer, or related occupation. Two (2) years of experience in the following: Develop large scale software projects for real-time embedded systems; SW development and testing; C, Assembly, and Perl; Real time operating systems including RTOS for embedded system, instrumentation, and development tools including GiT, Jenkins, Eclipse INCA in circuit emulators debuggers dSpace; and Microprocessor and Micro-controller design and theory.
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]]>REQUIREMENTS: Bachelor's degree in Mechatronic Engineering, Electrical Engineering, or related field of study and Five years of experience as a Systems Engineer, Controls Engineer, Electrical Engineer, or related role. Five years of experience with: Siemens CNC control systems, Siemens Step7, and Siemens HMI (WinCC); and FlexNet, Q-Das, and Thingworx. Four years of experience with: Manufacturing process equipment, system engineering, and software development and hardware integration; FANUC Robotics including setup, programming, and debug; and 3DL Vision, PLCs including Allen Bradley and Siemens, and Visions Systems including Cognex and Keyence.
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]]>The Body Department Controls Engineer is responsible for the safe, reliable, and efficient operation and improvement of automated body shop systems. This role provides technical leadership for controls, robotics, process automation, plant-floor systems, and equipment integration across the body department.
The engineer supports daily production, new product and equipment launches, troubleshooting, system upgrades, and continuous improvement. This position works closely with body operations, skilled trades, maintenance, quality, safety, information technology, manufacturing engineering, suppliers, and contractors to improve safety, quality, delivery, cost, and equipment performance.
This is an onsite manufacturing engineering role requiring regular presence in the body department and on the plant floor. The role requires shift rotation, weekends, shutdown, or extended-hours support during launches, critical equipment work, troubleshooting, and planned maintenance activities. Travel to suppliers or other GM locations may be required based on business needs.
What You’ll Do
Analyze, troubleshoot and diagnose automation faults, controls issues, communication problems, equipment alarms, and recurring production interruptions.
Provide engineering support on equipment, automation systems, interface systems and robots using standard engineering software and hardware tools.
Lead or support the design, programming, integration, installation, commissioning, validation, and launch of new or modified body equipment and systems.
Develop and maintain automation requirements, control-panel documentation, electrical drawings, software backups, network documentation, equipment standards, and change records.
Coordinate with suppliers and contractors on controls design, equipment builds, factory testing, site installation, commissioning, and final acceptance.
Improve equipment availability, throughput, first-time quality, process stability, energy performance, and material utilization through data-driven problem solving.
Apply structured problem-solving methods to identify root causes and implement sustainable corrective actions.
Support machine safety, risk-reduction activities, safeguarding, validation, lockout requirements, and compliance with applicable GM safety standards.
Collaborate with maintenance and skilled trades to improve preventive maintenance, troubleshooting methods, spare-parts strategy, and technical training.
Support plant-floor systems and manufacturing data interfaces used for production monitoring, routing, tracking, traceability, and reporting.
Participate in program timing reviews, equipment design reviews, readiness assessments, production trials, and launch activities.
Create, maintain, and improve standardized work, programming practices, troubleshooting guides, and engineering procedures.
Provide technical direction to less-experienced engineers, suppliers, contractors, and plant support personnel as needed.
Communicate project status, technical risks, decisions, and results to plant and engineering leadership.
Support TIP (Throughput Improvement) initiatives as required.
Perform training and mentorship to skilled trades and junior personnel.
Provide a safe environment and comply with all policies.
Support DLA (Device Level Analytics) initiatives, software implementation and system validation.
Your Skills & Abilities (Required Qualifications)
Bachelor’s degree in electrical, controls, automation, computer, mechanical, manufacturing, or a related engineering discipline, or an Associate’s degree and equivalent relevant experience may be considered.
Experience supporting industrial automation or controls in a manufacturing environment.
Ability to read and interpret electrical schematics, control-panel drawings, equipment specifications, and engineering documentation.
Demonstrated ability to troubleshoot complex automation and equipment problems using data and structured problem-solving methods.
Strong communication, organization, project-management, and collaboration skills.
Ability to manage multiple projects and priorities with autonomy and accountability.
Commitment to safe work practices and continuous improvement.
What Will Give You a Competitive Edge (Preferred Qualifications)
Working knowledge of programmable logic controllers, human-machine interfaces, industrial networks, drives, sensors, safety circuits, robotics, and electrical control systems.
Experience in an automotive manufacturing or body shop environment.
Experience with Rockwell Automation or Siemens controls platforms, industrial Ethernet, Devicenet networks, motion control, and variable-frequency drives.
Experience with Fanuc robotics systems.
Experience with vision systems, Fanuc 2D/3D, Keyence, or Photoneo.
Knowledge of plant-floor production monitoring, routing and tracking, traceability, or manufacturing execution systems.
Experience with equipment commissioning, factory acceptance testing, site acceptance testing, or production launch.
Familiarity with error proofing, data analytics, Power BI, or other automation-support tools.
Knowledge of structured problem solving, lean manufacturing, Six Sigma, failure-mode analysis, process control plans, and change management.
Job Summary
We are seeking a Staff Software Engineer to join our ADAS HMI team within the Interactive Experience platform. In this role, you will define the architecture and technical direction for production software on automotive System-on-Chip (SoC) platforms that powers driver-facing alerts, controls, and situational-awareness experiences. You will also build the next generation of our driver monitoring system from the ground up. You will lead complex, multi-team systems that process ADAS and vehicle data while meeting demanding requirements for latency, reliability, startup time, compute, memory, security, safety, and maintainability.
The ideal candidate is a recognized SoC software expert who operates with broad latitude in a complex environment, turns ambiguous cross-domain requirements into practical system designs, and drives critical workstreams from concept through vehicle launch. This role is focused on SoC software; experience building and deploying machine-learning models on resource-constrained edge devices is a strong differentiator.
Job Responsibilities
Define and evolve end-to-end SoC architecture spanning ADAS data producers, vehicle interfaces, operating-system services, middleware, hardware accelerators, and downstream HMI applications.
Architect and build a next-generation driver monitoring system from the ground up, spanning camera and sensor inputs, on-device perception and inference, driver-state interpretation, vehicle interfaces, diagnostics, and HMI integration.
Lead the design and development of production SoC applications and services using C/C++, including data processing, state management, inter-process communication, and platform integration.
Translate ambiguous product, vehicle, safety, and system requirements into practical cross-domain designs with clear boundaries, interfaces, data flows, timing budgets, diagnostics, failure modes, and validation strategies.
Drive architecture reviews and align teams on technical trade-offs involving performance, memory, compute, startup behavior, security, safety, reliability, and long-term maintainability.
Own complex multi-team workstreams through design, implementation, integration, performance tuning, vehicle validation, release, launch support, and maintenance.
Establish architecture and engineering practices for reliable, low-latency pipelines that collect, normalize, and expose ADAS and vehicle data to multiple on-device consumers.
Foresee integration and delivery risks across ADAS algorithm, perception, HMI, platform, systems, safety, and vehicle integration teams; develop mitigation plans and remove critical blockers.
Define quality standards and release criteria across related SoC codebases, including code review, static analysis, automated testing, performance benchmarking, observability, and structured release processes.
Diagnose and lead resolution of complex cross-system issues involving IPC, scheduling, memory use, concurrency, operating-system behavior, hardware acceleration, and vehicle integration.
Develop practical technology roadmaps for SoC services and edge-compute capabilities across vehicle programs and platform generations.
Mentor senior and mid-level engineers on SoC architecture, C/C++ development, performance analysis, system debugging, execution discipline, and cross-team technical leadership.
Communicate technical direction, risks, trade-offs, and delivery status clearly to senior engineering leadership and cross-functional stakeholders.
Job Qualifications
Bachelor's degree or Bachelor of Applied Science in Computer Science, Software Engineering, Computer Engineering, Electrical Engineering, or a related technical field, with 5–8 years of relevant software engineering experience; or equivalent practical experience with 10–12 years delivering production software.
Staff-level experience designing and shipping complex embedded or SoC-based production systems with multi-team scope, broad technical ambiguity, and end-to-end accountability.
Deep C/C++ development experience for SoC applications, services, or middleware.
Hands-on experience with Embedded Linux, QNX, or a comparable SoC operating environment, including IPC, multithreading, and system resource management.
Demonstrated system design expertise across application, middleware, data, operating-system, and hardware boundaries, including interfaces, data flows, state management, failure modes, and validation strategies.
Proven ability to own roadmaps, commitments, risks, dependencies, and release quality without day-to-day direction.
Experience diagnosing and optimizing complex integrated systems using logs, traces, profilers, memory-analysis tools, performance benchmarks, and automated tests.
Strong written and verbal communication skills, including the ability to influence architecture and priority decisions across teams without direct authority.
Preferred Skills
Experience building, optimizing, and deploying production machine-learning models on edge or embedded devices.
Experience with ML frameworks and edge-inference runtimes such as PyTorch, TensorFlow, ONNX Runtime, TensorRT, or comparable technologies.
Experience developing driver or occupant monitoring systems, in-cabin computer vision, camera pipelines, or real-time perception software.
Experience with SoC hardware accelerators such as GPUs, NPUs, or DSPs and the software stacks used to access them.
Experience with automotive middleware and communication technologies such as ROS 2, SOME/IP, DDS, shared memory, or service-oriented IPC.
Experience processing perception outputs and sensor data.
Familiarity with Yocto, board-support packages, containerized workloads, or embedded platform bring-up.
Experience leading architecture reviews, technical readiness reviews, release planning, and production issue triage for safety-relevant or vehicle-integrated software.
Familiarity with automotive engineering practices such as ASPICE, ISO 26262 concepts, CI/CD, HIL/SIL validation, and structured release governance.
Staff Software Engineer Expectations
The successful candidate should already demonstrate Staff Software Engineer behaviors:
System Design: Defines novel, cross-domain architecture for complex SoC systems spanning multiple teams.
Domain Expertise: Serves as a recognized expert across SoC software, embedded operating systems, vehicle data, performance, and system integration.
Accountability: Owns multi-team workstreams and measurable delivery outcomes aligned with vehicle program and business priorities.
Execution: Foresees cross-discipline risks, develops mitigation strategies, removes blockers, and de-risks critical delivery paths.
Technical Vision: Develops practical technology roadmaps that connect SoC and edge-compute investments to product and business objectives.
Leadership: Mentors engineers, influences stakeholders across departments, and raises engineering standards through repeatable practices.
Compensation: The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of New York, Colorado, California, or Washington.
· The salary range for this role: is $189,300 to $290,700. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.
· Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.
· Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more
Partner with Program Launch Operations Manager (PLOM), Program Engineering Manager (PEM), Quality Engineering Manager, Quality Launch Manager and Lansing Delta Township plant leaders to drive the appropriate priorities and discipline in the organization.
Responsible for driving engineering and supplier quality vehicle problem root cause and resolution for your assigned area of the vehicle (Interior, Exterior/Body, or Chassis/Powertrain).
The metrics that you will react to in your day-to-day work will be GCA, Plant Direct Run Rate (DRR), Plant Throughput, Ergonomic performance of the vehicle build, Captured Test Fleet (CTF) feedback and lessons learned from previous programs.
Responsible for monitoring progress to meet quality goals through common global process assessments, facilitating rapid containment of issues, installation of countermeasures and Leadership concerns to ensure Quality targets are on track.
Create and distribute part quality specifications (PQS) based on Design Technical Specification for your assigned area of the vehicle.
Provide quality status updates to Program Quality and Readiness Reviews (PQRR’s) and other launch meetings critical to assure Quality and Readiness work meets the customer’s requirements, and are completed on time with integrity; assure there is a high level of awareness of the risk potential of non-green work and provide guidance on whether to proceed or not proceed decisions.
Utilize robust problem solving methods such as GM 7-Diamond, Math Data Assessment, Red X/Shainin Problem Solving, use of TAC fixtures (ITAC or ETAC), and use of part gauges, as well as scanning tools to root cause vehicle fit and function as well as build issues.
Effectively use PRTS and SPPS to drive resolution of issues
Co-Lead the Issue Resolution Team (IRT) as the Plant Lead for your area of the vehicle for LDT's next Launch.
Provide design engineers with Lessons Learned from current plant issues (both resolved and unresolved) to avoid repeat issues.
Ensure Quality Assessment is performed and all issues are contained/resolved. Co-Lead and Issue Resolution Team (IRT) for your assigned area of the vehicle to drive communication and documentation of issues to Product Engineering.
Required Qualifications:
Bachelors Degree
5+ years of experience in design release, quality engineering or related field
Must be flexible to occasionally rotate from 1st to 2nd or 3rd shift
Excellent communication and command skills are necessary to be successful in this position
Strong leadership skills, managerial courage, organizational skills, strong business acumen and very strong problem-solving skills
Proven ability to manage complex, high-pressure situations and make timely decisions with limited information.
Skilled in root cause analysis, structured problem-solving, and crisis communication
Every day, our products move millions of people as we aim to make driving safer, smarter, and more connected, shaping the future of transportation on a global scale.
As a Manufacturing Engineer, you will apply strong technical skills and sound judgment to solve complex manufacturing problems. You will be accountable for identifying root causes, driving robust corrective actions, and improving processes within the framework of established practices, policies, and standards. The role requires creativity, initiative, and the ability to work both independently and in cross‑functional teams.
Direct the design, development, and continuous improvement of manufacturing processes for your assigned area
Analyze and implement product and equipment designs to determine optimal manufacturing methods
Propose, justify, and implement process and equipment solutions for assigned operations
Interpret product math data and specifications to develop the tools, fixtures, and equipment needed to support production
Review and approve process, tool, and equipment designs; release tools to appropriate build sources and oversee build, tryout, and installation
Develop and maintain clear, accurate build process documentation for use on the shop floor
Collaborate with product and design engineering to assess and enhance manufacturing feasibility of new or revised designs
Provide technical direction and support to operations, maintenance, skilled trades, and external tool/design/build suppliers
Lead or provide occasional oversight to other engineers or technical support personnel to achieve project and departmental objectives
Monitor and evaluate process and equipment expenditures to ensure cost‑effective solutions
Bachelor’s degree in Engineering or equivalent relevant education and training
Demonstrated experience with manufacturing equipment, tools, and processes
Experience with automotive assembly processes and related tools and equipment
Strong analytical and problem‑solving skills with demonstrated root‑cause capability
Clear, concise communication skills with the ability to explain complex technical topics to varied audiences
High level of interpersonal skills and proven success working in cross‑functional team environments
Ability to work independently with minimal direction, exercising sound judgment, creativity, and initiative
Proven ability to manage multiple assignments and competing priorities in a dynamic, complex manufacturing environment
Willingness and ability to travel up to 50%
The Role:
As the Global Senior Manager of Socially & Environmentally Responsible Sourcing, you will lead and drive the strategy of the environmental & socially responsible supply chain program across direct and indirect supply chains. In this role, you will help strengthen sourcing practices, support business continuity, and promote clear standards for supplier performance across the supplier lifecycle. Working cross-functionally across the business, you will embed sourcing expectations into supplier selection, contracting, performance management, and continuous improvement.
This role closely partners with Corporate Global Sustainability and other key stakeholders to translate corporate objectives, policy requirements, and evolving regulatory expectations into practical supply chain processes, controls, and supplier-facing requirements. This leader owns the Supplier Code of Conduct and associated governance, due diligence, and risk-based supplier oversight, including assessments, audits, mitigation actions, and issue resolution. The role is also responsible for supply chain reporting, disclosures, and leadership updates, using metrics and dashboards to assess supplier behavior, demonstrate compliance to external stakeholders, and strengthen GM’s credibility on ESG performance across the supply base. This role also builds organizational capability by developing talent, influencing cross-functional teams, and driving execution through ambiguity and change
What You’ll Do (Responsibilities):
Own and evolve the Socially & Environmentally Responsible sourcing strategy, roadmap, and governance, including policies, standards, and procedures aligned to the Supplier Code of Conduct and applicable regulations.
Lead supplier due diligence and assessment processes
Plan and manage supplier assessments and audits (desktop and/or on-site) in collaboration with third parties and internal stakeholders; track findings, corrective action plans (CAPs), and verification of closure.
Build trust and partnerships – Partner internally with Corporate Global Sustainability, Purchasing and Legal to integrate requirements into sourcing packages, supplier onboarding, contracts, and supplier performance management (including training and communications). Actively lead engagement with external industry partners.
Develop and maintain program metrics, dashboards, and management reporting; prepare leadership updates and support external reporting needs (e.g., customer requests, sustainability reporting, regulatory submissions).
Provide clear and timely updates to senior leadership
Support and deploy innovative solutions within your area.
Develop talent and organizational capability , including day-to-day coaching, performance management, and career development for team members, ensuring alignment with GM values and behaviors.
Top candidates will demonstrate:
Experience running or advising on multi-tier traceability programs , a strong understanding of the evolving global regulatory landscape, and the credibility to act as a trusted subject-matter expert for both customers and internal teams.
Deep expertise in Supply Chain Sustainability/ESG, and/or Responsible Sourcing , with a track record of leading complex, cross-functional initiatives or projects and driving measurable improvements within their function.
Expertise in sustainable sourcing and human rights due diligence concepts (risk assessment, supplier engagement, audits/assessments, corrective action, and continuous improvement), including familiarity with common frameworks and expectations (e.g., OECD Due Diligence Guidance, Supplier Codes of Conduct)
Advanced communication and storytelling skills , including the ability to create executive-ready materials that translate complex concepts and data into clear, compelling insights.
Strong customer-centric leadership , with the ability to listen to the voice of the customer, influence stakeholders at multiple levels, and effectively teach and coach others.
Strong analytical and problem-solving skills ; able to interpret risk data, prioritize actions, and drive timely remediation in a dynamic environment
Strategic orientation and learning agility , with the ability to quickly adapt to new information, environments, and priorities while constructively challenging the status quo within their scope.
Proven people leadership , including mentoring, motivating, and eliciting high performance from direct reports and cross-functional partners.
Your Skills & Abilities (Required Qualifications)
Bachelor’s degree required
10+ years of experience in Supply Chain, Procurement, Compliance, Sustainability/ESG, and/or Responsible Sourcing.
Proven track record of people leadership experience directly leading teams with a minimum of 4-5 people, driving results, and personal accountability with oneself and team
Proven negotiation, supplier management, and analytical skills applied to complex, high-impact business decisions.
Demonstrated success operating in a multi-stakeholder environment, setting expectations, aligning stakeholders, and following through on commitments.
Strong project/program management capability, driving initiatives to completion under tight deadlines and competing priorities.
Strong verbal and written communication, with the ability to distill complex issues into clear, concise messages for diverse audiences.
Strong interpersonal and collaboration skills, with a track record of leading and influencing cross-functional and global teams.
High comfort with ambiguity and autonomy, making sound decisions with incomplete information and appropriate escalation.
Strong drive for results and change leadership, effectively leading others through challenges to deliver measurable outcomes.
Demonstrated continuous improvement and innovation mindset, consistently challenging and improving processes within their scope.
Proven people leadership skills, including performance management, coaching, feedback, and talent development.
Ability to travel 10–20% of the time, domestically and internationally.
Preferred Qualifications (What Gives You a Competitive Edge)
Experience with supplier risk tools, audit platforms, or sustainability data systems; strong Excel/data analysis skills
Experience with commodities (aluminum, minerals, leather, metals, resins, stampings, castings, plastics, electronics, etc.)
Strong knowledge of the global regulatory landscape governing supply-chain transparency and responsible sourcing, including deforestation regulations (e.g. EUDR), greenhouse gas/supplier decarbonization initiatives, supply-chain due diligence laws, and sector-specific compliance frameworks.
Demonstrated ability to diagnose adoption challenges in program rollouts and design practical, supplier- and operations-level interventions that drive measurable change.
Strong facilitation and training skills, including the ability to create clear guidance and deliver supplier/internal trainings
Familiarity with multi-tier supply chains and traceability approaches; capable of interpreting market, geo-political, and regulatory signals and translating them into sourcing risk actions
Lead with courage and expertise – bring passion for responsible sourcing, sufficient subject-matter depth, and the ability to have hard conversations.
We’re looking for a Senior Software Engineer to own and advance serviceability for our in-vehicle infotainment (IVI) and Vehicle Compute Unit (VCU) platform. You will focus on dealership support and field quality: debugging complex VCU issues, driving technical root cause from warranty and diagnostic data, and implementing features that make the platform easier to diagnose, repair, and support.
You’ll work hands-on in the infotainment/VCU software stack — from platform middleware and diagnostics frameworks to dealer-facing workflows and backend automation — while partnering closely with vehicle platform teams, field quality, and dealer support organizations.
Lead deep technical debugging of IVI/VCU issues seen in the field, including reproduction, log and trace analysis, and cross-team root-cause investigations.
Devise reproducible bench setups, repositories, and automated test cases for field issues, and drive closure of testing omissions by extending coverage and driving closure with the quality team.
Analyze warranty reports, diagnostic logs, and telemetry to identify systemic issues, patterns, and opportunities to improve reliability and serviceability.
Design and implement diagnosability and serviceability features in the IVI/VCU stack (for example, structured logging, health monitoring, fault injection hooks, self-test and guided-diagnostics capabilities).
Collaborate with dealer support, field quality, and internal tooling teams to improve workflows for technicians and support engineers, including enhancements to diagnostic UIs, troubleshooting flows, and repair guidance.
Build and evolve automation and AI-assisted diagnostics for the VCU: correlating symptoms, DTCs, and warranty data to accelerate fault isolation and recommended fixes.
Define and enforce engineering standards for observability, fault reporting, error handling, and debugability across the IVI/VCU software components.
Partner with adjacent domain teams (connectivity, telematics, cloud, vehicle platform) to ensure serviceability requirements are reflected in interfaces, protocols, and integration contracts.
Serve as a go-to technical expert for VCU serviceability, mentoring engineers on best practices for diagnosable system design and effective field-issue triage.
5+ years of software engineering experience in automotive or embedded systems, with significant time spent in infotainment/IVI or VCU development.
Strong C++ skills in resource-constrained, real-time, or embedded environments; solid Python for tooling, data analysis, and automation around diagnostics and warranty data.
Practical experience with automotive platforms and middleware (for example, Android Automotive OS, embedded Linux, QNX, AUTOSAR Adaptive, SOME/IP, DDS, or similar).
Deep understanding of vehicle software integration and diagnostics: CAN, Automotive Ethernet, diagnostics protocols (for example, UDS), ECU communication patterns, and vehicle signal architectures.
Demonstrated experience debugging complex, intermittent field issues end-to-end, including log/trace analysis, on-bench reproduction, and cross-team investigation.
Experience shipping production software into vehicles within OEM release processes and automotive lifecycles.
Proven ability to lead technically within a team — driving investigation plans, coordinating across stakeholders, and helping other engineers grow their debugging and serviceability skills.
Experience with dealer or technician diagnostic tools, service workflows, or field quality engineering.
Experience with graphics/HMI stacks or IVI user flows, especially where they intersect with error handling, fault indication, or technician-facing modes.
Familiarity with connectivity and telematics systems used for remote diagnostics and data collection.
Exposure to OTA update systems, cybersecurity (ISO 21434), or SDV (software-defined vehicle) architectures and how they impact serviceability.
Experience building data and automation pipelines for diagnostics and AI/ML-assisted troubleshooting (for example, fault classification, symptom clustering, recommendation systems).
The Senior Manager, Components Experience Strategy is a design leader within Human Interface Design responsible for defining how interior vehicle components contribute to a cohesive, intuitive, and distinctive customer experience. This role translates GM and Design strategy into clear direction for cockpit and cabin touchpoints, portfolio priorities, design criteria, and operating plans across programs, brands, and regions. Operating with broad latitude in a complex environment, this leader shapes enterprise initiatives, influences senior decisions, and connects component choices to customer experience, brand equity, usability, feasibility, and business outcomes. The role will help establish the future direction of physical and digital interaction across the vehicle interior while strengthening the organization’s design capability and leadership pipeline.
What You’ll Do
Define and lead long-term strategy for interior vehicle component experiences across major programs, portfolios, and studios, ensuring alignment with GM business strategy, customer needs, and brand direction.
Establish vision and design direction for customer-facing interior touchpoints, including instrument panel elements, center stack and console components, door-mounted controls, steering wheel touchpoints, display surrounds, storage interfaces, and trim-integrated interaction points.
Translate strategy into actionable component priorities, design criteria, operating plans, resource choices, and measurable objectives for teams and leaders across the organization.
Lead complex, ambiguous, cross-functional challenges involving interior component integration while balancing design intent with ergonomics, human factors, packaging, engineering, manufacturing, timing, cost, and quality requirements.
Define how physical component experiences work with digital and visual interaction layers to deliver a cohesive Human Interface Design strategy across hardware and software touchpoints.
Use design judgment, customer understanding, data, competitive insight, and trend awareness to anticipate future-state interior component experience direction before it reaches the market.
Align senior stakeholders, elevate organizational standards, develop future component design leaders, and own strategic initiatives and KPIs that improve customer experience and functional results.
Your Skills & Abilities (Required Qualifications)
Extensive experience leading interior components, industrial, creative, Human Interface Design, or automotive design strategy across complex programs, portfolios, or studios.
Deep expertise in interior component design visioning, portfolio thinking, and translating customer, brand, and business needs into actionable design direction.
Strong understanding of how physical interior components contribute to the broader human interface, including usability, ergonomics, controls, touchpoints, and integration with digital experiences.
Proven success influencing senior leaders and aligning cross-functional stakeholders in high-ambiguity, high-visibility environments.
Demonstrated experience leading leaders, building teams, mentoring managers, and developing talent across multiple design disciplines or studios.
Strong understanding of the interplay among design, engineering, manufacturing, marketing, brand execution, and customer experience within the vehicle interior.
Bachelor’s degree in Industrial Design, Transportation Design, Product Design, Human Factors, or a related field.
What Will Give You a Competitive Edge (Preferred Qualifications)
Advanced degree in Industrial Design, Transportation Design, Product Design, Human Factors, or a related field.
Experience shaping interior component strategy for global automotive brands, regions, or multi-studio design organizations.
Experience establishing design operating models, governance, measurement frameworks, or KPIs for enterprise design initiatives.
Strong executive storytelling and strategic communication skills, with a portfolio of decisions or initiatives that influenced organizational direction.
Experience connecting physical component design with software, UX, visual design, or other digital interaction disciplines.
Leadership Expectations
This leader is expected to model GM behaviors, lead inclusively, move with urgency, speak fearlessly, and own outcomes while setting a high bar for integrity, customer focus, innovation, and enterprise thinking.
]]>We are looking for a high-impact FP&A professional to join our team. This role goes beyond financial analysis—it's a strategic position that will help drive business decisions and improve operational efficiency. The ideal candidate is not only a financial expert but also a process automation champion , playing a key role in optimizing and digitizing workflows across the finance team.
Key Responsibilities:
Provide strategic financial insights to support decision-making at the executive level;
Develop and enhance financial models, forecasts, and reports to improve business planning and performance tracking;
Lead automation initiatives , identifying and implementing tools to streamline financial processes and reporting;
Collaborate with cross-functional teams to translate data into actionable strategies;
Identify opportunities for cost optimization , specifically focusing on contribution cost (material and logistics) ;
Support budgeting, forecasting, and variance analysis to drive continuous improvement.
Qualifications:
Strong financial acumen, with experience in FP&A, corporate finance, or a related field;
Proficiency in financial modeling and data visualization (Excel, Power BI, Tableau, or similar tools);
Experience with automation tools, scripting (Python, SQL, VBA), or ERP/reporting system enhancements is a strong plus;
A strategic thinker with a problem-solving mindset and the ability to communicate insights effectively;
Intermediate English - you will need the language for reading and writing
Spanish is desirable.
This is an opportunity to be more than just an analyst—you’ll be a key player in shaping the financial strategy and automation journey of the company, with a strong focus on Supply Chain support.
What You’ll Do:
Your Skills & Abilities (Required Qualifications):
What Can give You a Competitive Advantage (Preferred Qualifications):
Hybrid
This role is categorized as hybrid. This means the successful candidate is expected to report to our Dublin/ Limerick office three times per week, at minimum [or other frequency dictated by the business
]]>GM DOES NOT PROVIDE IMMIGRATION-RELATED SPONSORSHIP FOR THIS ROLE. DO NOT APPLY FOR THIS ROLE IF YOU WILL NEED GM IMMIGRATION SPONSORSHIP (e.g., H-1B, TN, STEM OPT, etc.) NOW OR IN THE FUTURE.
Onsite: This role is categorized as onsite. This means the successful candidate is expected to report to Orion, MI on a full-time basis.
The Role
The Senior Controls Engineer is responsible for providing advanced controls engineering and technical oversight within a vehicle assembly manufacturing environment. This role exercises a high degree of independent judgment, strategic thinking, and technical authority to support plant performance, safety, quality, cost, and throughput objectives. This role drives capital projects, continuous improvement initiatives, and new model launch while ensuring long-term reliability and cost-effective maintenance of plant systems.
What You’ll Do
Your Skills and Abilities (Required Qualifications)
Preferred Qualifications
Esta es una oportunidad para aprender directamente en planta, colaborar con equipos multidisciplinarios y ayudar a que los datos se conviertan en decisiones oportunas: detectar desviaciones antes de que se conviertan en fallas, fortalecer la disponibilidad de los equipos y construir una operación más inteligente, confiable y competitiva.
Contribuir a la implementación, estabilización y adopción de DLA en los equipos críticos de Pintura, conectando la información de los activos con análisis que permitan anticipar comportamientos anormales, prevenir paros y generar mejoras sostenibles en el proceso.
Apoyar el levantamiento y la integración de equipos de Pintura al ecosistema DLA, incluyendo la validación de señales, datos y condiciones de comunicación.
Dar seguimiento al onboarding de equipos y a la corrección de hallazgos identificados durante los Health Checks y las revisiones de implementación.
Analizar tendencias de operación, alarmas, tiempos de movimiento, vibración, drives, PLCs, visión y otras variables disponibles para identificar posibles desviaciones.
Utilizar herramientas para transformar información técnica en hallazgos accionables.
Colaborar con Mantenimiento, Ingeniería de Controles, Producción y otras áreas para validar causas, priorizar oportunidades y dar seguimiento a acciones.
Apoyar la creación de tableros, reportes y estándares visuales que faciliten la toma de decisiones en el área.
Documentar avances, pendientes, aprendizajes y resultados de las iniciativas de implementación.
Participar en la identificación y cuantificación de beneficios, tales como prevención de downtime, reducción de retrabajos, mejora de disponibilidad y optimización del proceso.
Promover una cultura de análisis predictivo: pasar de reaccionar ante la falla a anticiparnos a ella.
Estudiante activo(a) de Ingeniería Mecatrónica, Control, Automatización, Robótica o una carrera relacionada.
Interés genuino por la digitalización industrial, el análisis de datos y el mantenimiento predictivo.
Conocimientos básicos de PLCs, sensores, instrumentación, automatización o sistemas de control.
Capacidad para interpretar información técnica y detectar patrones o comportamientos fuera de condición.
Manejo herramientas digitales de manufactura.
Pensamiento analítico, curiosidad técnica y orientación a la solución de problemas.
Comunicación efectiva y facilidad para colaborar con personal técnico, operativo y de ingeniería.
Iniciativa para proponer ideas, hacer preguntas y convertir aprendizajes en mejoras.
Compromiso con la seguridad, la calidad, la integridad de los datos y los valores de GM.
Experiencia práctica en una planta automotriz de clase mundial.
Conocimientos aplicados de analítica a nivel equipo y mantenimiento predictivo.
Interpretación de tendencias y reportes para anticipar fallas.
Fundamentos de digitalización, conectividad industrial y visualización de datos.
Habilidades para presentar hallazgos y facilitar decisiones basadas en evidencia.
Experiencia en mejora continua, seguimiento de proyectos y medición de beneficios.
Una visión integral de la relación entre tecnología, personas, equipos y resultados del negocio.
La oportunidad de participar en un proyecto estratégico de transformación digital dentro de GM.
Acompañamiento y mentoría de profesionales con experiencia en manufactura, mantenimiento y analítica.
Aprendizaje en un entorno real, dinámico y de alto impacto.
Exposición a tecnologías que están definiendo el futuro de la industria automotriz.
La posibilidad de que tus ideas se conviertan en mejoras visibles para la operación.
GM no proporciona soporte ni patrocinio para trámites de documentos legales con fines inmigración. Si requieres apoyo en el trámite de documentos migratorios ahora o en el futuro, abstente de aplicar a esta vacante"
Si requieres algún ajuste razonable para continuar con tu proceso de selección, informa tu reclutador.
Recuerda adjuntar tu CV al momento de postularte.
No Discriminación e Igualdad de Oportunidades
General Motors es una empresa comprometida en ser un espacio de trabajo libre de discriminación que fomenta la inclusión y el sentido de pertenencia. Respetamos y valoramos lo que cada individuo ofrece a nuestro equipo, incluyendo su procedencia, educación, sexo, raza, grupo étnico, orientación sexual, expresión y/o identidad de género, contexto religioso, edad, generación, y discapacidad. Creemos que nuestra habilidad para satisfacer las necesidades y expectativas de una base de clientes cada vez más diversa y global se vincula de cerca a la diversidad e inclusión que vivimos dentro General Motors.
]]>Hybrid : This role is categorized as hybrid. This means the successful candidate is expected to report to Warren, MI or Milford, MI three times per week.
Leads GM’s corporate software strategy for new technologies, complex features, and major program enhancements, providing technical leadership to execution teams for development and integration. Oversees comprehensive design analysis and leads integration and verification testing of software builds. Stays updated on new technologies and competitive products to define GM’s strategic direction. Establishes and communicates best practices within the software community.
Acts as a Subject Matter Expert (SME) for specific platforms or applications and actively participates in hiring, including developing technical questionnaires, reviewing resumes, and conducting interviews. Engages in projects eligible for patent applications and maintains visibility across infotainment teams and sites. Performs other related duties as assigned.
As a Staff Software Engineer – Automation Library Development at GM, you will define and deliver automation software library strategy and solutions enabling vehicle-level test automation across all systems and subsystems.
This role sits at the center of building a scalable automation ecosystem supporting the Software-Defined Vehicle (SDV), collaborating across engineering teams to modernize testing, validation, and integration practices.
What You Will Do
Define Python automation libraries and framework enablers for scalable vehicle-level testing.
Establish and enforce clean, efficient, and well-documented coding standards.
Perform code reviews and drive engineering best practices.
Collaborate with global teams to enhance automation architecture and tooling.
Mentor and develop a high-performing software automation team.
Partner with virtual engineering teams to develop next-generation SDV tools and processes.
Lead technical workshops to solve complex problems and drive innovation.
Drive continuous improvement of enterprise-scale automation pipelines and quality frameworks.
Your Skills & Abilities (Required Qualifications)
Bachelor’s degree in Computer Science, Electrical Engineering, Computer Engineering, or related field.
7+ years of experience in software development (C++, C#, Python, etc.).
Experience with Automotive Ethernet including SOME/IP communication protocol
Strong hands-on experience with test automation development and frameworks.
Experience working with open-source and/or commercial automation tools.
What Will Give You A Competitive Edge (Preferred Qualifications)
Understanding of vehicle electrical architecture and vehicle subsystems/features.
Advanced degree in engineering, computer science, or technical leadership discipline.
3+ years of experience in automotive software development or test automation.
Experience designing and extending automation frameworks and platform enablers.
Strong understanding of Software-Defined Vehicle (SDV) architecture principles, including service-oriented architecture and decoupled software/hardware systems
Experience with Automotive Ethernet.
Knowledge of AUTOSAR Adaptive and/or Classic Platforms.
Experience with TCP/IP networking fundamentals and communication protocols.
Experience debugging or analyzing in-vehicle network traffic (e.g., Wireshark, packet-level inspection).
Understanding of end-to-end communication flows across ECUs in Automotive architectures.
Additional Information:
This role may be eligible for relocation benefits.
GM does not provide immigration-related sponsorship for this role. Do not apply for this role if you will need GM immigration sponsorship now or in the future. This includes direct company sponsorship, entry of GM as the immigration employer of record on a government form, and any work authorization requiring a written submission or other immigration support from the company (e.g., H1-B, OPT, STEM OPT, CPT, TN, J-1, etc.)
#LI-KB1
At General Motors, our product teams are redefining mobility. Through a human-centered design process, we create vehicles and experiences that are designed not just to be seen, but to be felt. We’re turning today’s impossible into tomorrow’s standard —from breakthrough hardware and battery systems to intuitive design, intelligent software, and next-generation safety and entertainment features.
Every day, our products move millions of people as we aim to make driving safer, smarter, and more connected, shaping the future of transportation on a global scale
Hybrid:
This role is categorized as hybrid. This means the successful candidate is expected to report to a Metro Detroit location three times per week Tues., Wed., Thurs.), at minimum or other frequency dictated by the business.
The Role:
We are seeking a high-performing Mechanical Design Engineer interested in leading the in-house development of GM electronics design. You will be responsible for the mechanical design, development, and review of Electrical Controllers, for our next generation SDV (Software Defined Vehicle) architecture. You will be depended upon to build strong partnerships with internal and external customers.
What You’ll Do (Responsibilities):
Execute mechanical design of ECUs per program timing, leading to successful launch of the product
Module HW and in some cases SW release will be owned by engineer.
Design mechanical components including castings, injection moldings, stampings, seals, electrical interface, PCBA mounts, connector interface and fastening, etc.
Perform design calculations, GD&T and tolerance stacks.
Create 3D CAD, 2D CAD & lead CAD reviews with stakeholders.
Develop analysis and test plan for new design, perform proof of concept tests and analysis.
Lead prototyping and testing, analyze test data, and make necessary adjustments to mechanical designs.
Work with electrical engineers and PCBA designers to integrate components into electro-mechanical systems.
Validation documentation and tracking will be the responsibility of the module owner.
Assess and aid in selection of semi-conductors to be used in modules assigned.
Build partnerships with functional peers internally within GM and externally at Tier 1 suppliers to align on ECU design per development cycles.
Develop virtualization technologies that help accelerate and de-risk product development.
Communicate design progress and risks to stakeholders and customers.
Drive Mechanical design strategy for the enterprise.
Solid organizational skills and the ability to manage multiple projects simultaneously.
Your Skills & Abilities (Required Qualifications)
Bachelor's degree in Mechanical Engineering or equivalent engineering degree
Be able to show analytical skills and engineering fundamentals in solid mechanics, material science, heat transfer, mechanism design, and manufacturing
What Can Give You a Competitive Advantage (Preferred Qualifications)
Proficiency in 3D CAD modeling (NX and Teamcenter preferred, but not required), 2D drawings, tolerance analysis, design for manufacturability, and assembly
Internships or Co-Op experience which may include:
Hands-on experience engaging with electronics manufacturers.
Mechanical design of PCBAs, computers, or automotive electronic
Understanding of thermal solutions and their application
Knowledge of vibrational and structural analysis
Experience with ASME Y14.5-2009 dimensioning & tolerancing standards
#LI-SW1
SPONSORSHIP: GM DOES NOT PROVIDE IMMIGRATION-RELATED SPONSORSHIP FOR THIS ROLE. DO NOT APPLY FOR THIS ROLE IF YOU WILL NEED GM IMMIGRATION SPONSORSHIP NOW OR IN THE FUTURE. THIS INCLUDES DIRECT COMPANY SPONSORSHIP, ENTRY OF GM AS THE IMMIGRATION EMPLOYER OF RECORD ON A GOVERNMENT FORM, AND ANY WORK AUTHORIZATION REQUIRING A WRITTEN SUBMISSION OR OTHER IMMIGRATION SUPPORT FROM THE COMPANY (e.g., H-1B, OPT, STEM OPT, CPT, TN, H4 EAD, J-1, etc.)
This job is not eligible for relocation benefits. Any relocation costs would be the responsibility of the selected candidate
Why Join Us
At GM, you’ll be at the forefront of shaping the future of connected, electric, and autonomous vehicles . You’ll work on cutting-edge antenna systems alongside some of the brightest minds in automotive and RF technology — with the resources to make an impact at scale. We offer competitive compensation, growth opportunities, and a culture that values innovation, inclusion, and forward thinking . This is a unique opportunity to lead, innovate, and help millions of customers around the world stay connected on the move .
Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.
Benefits : GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.
Diversity Information
General Motors is committed to being a workplace that is not only free of discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that workforce diversity creates an environment in which our employees can thrive and develop better products for our customers. We understand and embrace the variety through which people gain experiences whether through professional, personal, educational, or volunteer opportunities.
We encourage interested candidates to review the key responsibilities and qualifications and apply for any positions that match your skills and capabilities.
]]>If you enjoy solving complex technical challenges, working across engineering and manufacturing teams, and driving quality improvements at scale, we'd love to hear from you.
This Role Is Ideal For
Engineers with experience in manufacturing test systems, electrical hardware, automation, or vehicle diagnostics who enjoy developing technical solutions, supporting plant operations, and improving vehicle quality through robust manufacturing processes.
WHY
Ensure vehicles are built right the first time by developing and deploying electrical test systems that improve defect detection, strengthen manufacturing quality, and support Electrical First Time Quality (EFTQ) across GM's global manufacturing network.
WHAT
As an Electrical Test Systems Engineer, you will lead the development, integration, and deployment of manufacturing test equipment used to validate vehicle electrical systems and components. You will work across engineering, suppliers, and plant teams to ensure test systems are reliable, scalable, and capable of supporting current and future vehicle architectures.
HOW
Partner with manufacturing plants, suppliers, product engineering, and quality organizations to develop test solutions, resolve technical issues, and implement systems that improve quality, throughput, and manufacturing readiness.
Work Arrangement – Onsite
The successful candidate is expected to report to the Warren Tech Center on a full-time basis. This role requires up to 50% domestic and international travel.
What You'll Do (Responsibilities)
Your Skills and Abilities (Required Qualifications)
What Will Give You a Competitive Edge (Preferred Qualifications)
The MSP (Mechatronic Software Platform) organization is responsible for building and operating the common mechatronic software platform that underpins GM’s SDV strategy, and GM Basic Software is a core part of that foundation.
General Motors Basic Software (GMBSW) delivered by the MSP group provides a standardized, software foundation that enables reliable integration, deterministic execution, cybersecurity, functional safety, and long-term maintainability across GM’s ECU ecosystem.
The Role:
The Engineering Group Leader– BSW leads a team of engineers responsible for defining, delivering, evolving, and supporting GMBSW capabilities across the MSP portfolio, including foundational areas such as HWIO/MCAL/RTOS, communication, cyber, diagnostics, data management, programming/boot, RTE, safety, system services, and vehicle/micro moding.
This leader aligns BSW strategy and execution with portfolio needs, partners closely with HWIO, integration, validation, and application teams, and ensures GMBSW remains production-ready, reusable, scalable, and fit for current and emerging programs such as MSP-supported MCU platforms.
The EGL creates an inclusive, high-performing team culture, develops talent, drives alignment and clear direction, challenges the status quo to improve efficiency and quality, and helps translate MSP portfolio priorities into strong technical execution and dependable customer support.
What You'll Do (Responsibilities):
People & Team Leadership
Technical & Product Leadership
Portfolio & Program Execution
Quality, Safety, Cybersecurity, and Release Readiness
Process Improvement & Operational Excellence
Your Skills & Abilities (Required Qualifications):
Build, configuration, release, and lifecycle management practices for reusable platform software.
People Skills:
What Will Give You A Competitive Edge (Preferred Qualifications):
Company Vehicle : Upon successful completion of a motor vehicle report review, you will be eligible to participate in a company vehicle evaluation program, through which you will be assigned a General Motors vehicle to drive and evaluate.
Note: program participants are required to purchase/lease a qualifying GM vehicle every four years unless one of a limited number of exceptions applies.
#LI-DH2
]]>About GM
At General Motors, our product teams are redefining mobility. Through a human-centered design process, we create vehicles and experiences that are designed not just to be seen, but to be felt. We’re turning today’s impossible into tomorrow’s standard —from breakthrough hardware and battery systems to intuitive design, intelligent software, and next-generation safety and entertainment features.
Every day, our products move millions of people as we aim to make driving safer, smarter, and more connected, shaping the future of transportation on a global scale.
About the Role
As a Technical Lead you will be an individual contributor in the Local Planner Controller team within Embodied AI. We formulate and solve optimization problems online, considering kinematic feasibility, collision avoidance and ride comfort. In this role, you will provide cross-functional technical leadership for vehicle dynamics, estimation and controls systems used in GMs Super Cruise system. You will define the technical vision and multi-quarter roadmap for vehicle dynamics and controls software, drive design quality from architecture through validation, and align multiple teams to ship reliable, scalable autonomy capabilities that meet company goals.
What you’ll be doing (Responsibilities):
Shape the technical vision by owning multi-quarter roadmap designs for vehicle dynamics and controls software.
Architect and implement system designs and interface contracts with perception, prediction and planning systems, ensuring deliverables meet performance targets and safety constraints.
Lead technical reviews and drive software engineering best practices across the team and the larger organization.
Contribute to Active Safety, Driver Assistance, and Super Cruise development.
Guide other developers through system design and implementation focusing on safety, comfort, and compute efficiency.
Establish verification and validation strategies for the vehicle dynamics and controls software, including simulation and on-road testing validation gates.
Partner with Safety, Systems Engineering, and Product to generate requirements for onboard systems.
Lead root-cause investigations for complex integration issues, using data-driven techniques and principled experimentation, proactively creating test plans for new features and defining useful metrics for analyzing performance
Mentor engineers across teams, raising the bar on technical judgment, design quality, and execution discipline without direct people management responsibilities.
Improve and deliver reliable software through continuous integration, automated testing, and code reviews.
Develop and oversee top-tier software engineers within a dynamic, fast-paced, and inclusive setting.
Help define, build, and embody GM engineering culture and principles.
Required Qualifications:
Ph.D., M.S. in controls, optimization, path planning, or related. B.S. with strong work experience in the field may be considered
5+ years of experience in motion planning or related field
Deep understanding of optimal controls and trajectory optimization algorithms
Good grasp of classical and modern feedback control theory and techniques
Solid understanding of vehicle dynamics
A demonstrated track record of building high quality autonomous software systems
Deep expertise in Planning and Controls system design
Experience with C++/Python in a large, distributed development environment
Strong organizational and communication skills
Passion for self-driving technology and its potential impact on the world
Bonus points!
A background in robotics, ROS, or the AV/ADAS industry
Experience in numerical optimization algorithms
Experience designing software applications for safety critical systems
Experience building and managing engineering teams
5+ years of experience in motion planning or related field
Compensation :
The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of the California Bay Area.
The salary range for this role is $185,100.00 to $335,300.00. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.
Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.
Benefits:
Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.
This job may be eligible for relocation benefits.
Company Vehicle: Upon successful completion of a motor vehicle report review, you will be eligible to participate in a company vehicle evaluation program, through which you will be assigned a General Motors vehicle to drive and evaluate. Note: program participants are required to purchase/lease a qualifying GM vehicle every four years unless one of a limited number of exceptions applies.
#GM-AV-1
Work Arrangement:
Hybrid: This position does not require an employee to be onsite full-time to perform most effectively. The employee’s role enables them to work at their designated office of General Motors (Warren, MI or Sunnyvale, CA), with the expectation that the employee will be onsite at least 3 days a week.
The Role:
GM is developing the next generation of embedded platform software to deliver state of the art features to our customers, to achieve that goal our testing processes, tools, and infrastructure need to evolve along with it. We are looking for energetic engineers to help us deliver high quality test tools and infrastructure to ensure the success of our features.
As a Senior Software Developer - Test Framework at GM, you will help to lead a team developing automation solutions that will enable test automation of software across various stages of development and integration. This will include developing automation solutions and enablers that will encompass all systems and subsystems within the vehicle.
This exciting position is located in the central hub for developing automation enablers that will transform how GM develops and tests our software. The Senior Software Developer will take input from various customer teams and bring their need for automated testing of software to life. You will have the opportunity to collaborate with different business units all around GM and is terrific for technical and leadership growth!
Own automation features and initiatives based on customer requests with a focus on automotive serial data related needs.
Design and develop python and robot framework based automation solution scalable at the enterprise level.
Represent the team in Test Framework technical discussions.
Guide the team on the development of Python automation libraries that enable efficient and effective testing of the software that integrate into a global automation ecosystem.
Participate in code reviews and provide constructive feedback to team members on best practices and standards.
Work as a technical mentor to deliver the training and guidance required to develop a highly capable SW automation development team.
Actively participate in team scrum meetings including backlog refinement, iteration planning, and retrospectives.
Foster and maintain a positive and collaborative work environment while driving process improvement and innovative solutions.
Stay up to date with emerging technologies and trends in software automation domain.
Your Skills & Abilities (Required Qualifications)
5-7+ years of experience developing software solutions in popular programming languages, especially Python.
Bachelor’s Degree in Computer Science, Electrical Engineering, or related field.
Hands-on test automation development expertise with in-depth knowledge of multiple open-source off-the-shelf tools for test automation.
High level of verbal / written communication skills as well as working effectively with autonomy.
Passing score on applicable technical coding assessment.
What Will Give You a Competitive Edge (Preferred Qualifications)
Deep understanding of vehicle on-board communication, automotive serial data protocols, vehicle electrical architecture and subsystem/features.
Strong experience with developing Agentic AI systems and applications.
Advanced degree in engineering or management/leadership.
Experience of using and development on open-source automation framework such as Robot.
3+ years of experience in design, development and maintenance of automated test tools and test framework solutions.
Previous exposure to working in a software development team practicing Agile/Scrum.
Additional Information:
This role may be eligible for relocation benefits.
GM does not provide immigration-related sponsorship for this role. Do not apply for this role if you will need GM immigration sponsorship now or in the future. This includes direct company sponsorship, entry of GM as the immigration employer of record on a government form, and any work authorization requiring a written submission or other immigration support from the company (e.g., H1-B, OPT, STEM OPT, CPT, TN, J-1, etc.)
COMPENSATION: The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of the California Bay Area.
The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position, as well as geography of the selected candidate.
• The salary range for this role is 125,200 to 192,700. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.
• Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.
Benefits:
• Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.
Every day, our products move millions of people as we aim to make driving safer, smarter, and more connected, shaping the future of transportation on a global scale.
The Role
We are seeking a high energy, customer focused individual to join our team as a Vehicle Systems Engineer - Service Subsystem Engineer (SSE) in the ADAS and Chassis space. The SSE is the single point owner for programming and diagnostic needs for given system/feature. Their focus is to develop, validate, and implement common serviceability specifications, and then build both programming and diagnostic data content. The position will include crafting, validating, and releasing various vehicle
electrical subsystem diagnostic data & programming content used in the Techline Connect and vehicle applications.
This position is highly innovative and cross-functional in nature, requiring collaboration with multiple business units, Joint Ventures and business partners. This role also plays a key contribution role in defining the next generation of GM Diagnostic Service applications, tools, and related development processes. Work is performed in a centralized engineering activity where the highest level of creativity and initiative is exercised as well as the highest level of independent judgment. This role will facilitate
the flawless release of content necessary for technicians to program, diagnose, maintain, and repair GM products globally.
What You'll Do
Subsystem and/or Control Module Requirements
Diagnostic Software Data & Service Programming System
Cross Functional Aftersales Team Collaboration
Special Tools
Your Skills & Abilities (Required Qualifications)
What will give you a competitive edge (Preferred Qualifications)
Relocation: This job is not eligible for relocation benefits. Any relocation costs would be the responsibility of the selected candidate.
]]>REQUIREMENTS : Master’s degree in Electrical and Computer Engineering, Automotive Engineering, Mechanical Engineering, or related field of study. Three (3) years of experience as a Design Release Engineer, Structural Engineer, Vehicle Safety Engineer, CAE Engineer, or related engineering role. Or Bachelor’s degree in Electrical and Computer Engineering, Automotive Engineering, Mechanical Engineering, or related field of study, and five (5) years of experience as a Design Release Engineer, Structural Engineer, Vehicle Safety Engineer, CAE Engineer, or related engineering role. Three (3) years of experience with the following: Preparing Bills of Design and Statements of Requirements; Conducting Design Failure Mode and Effects Analysis (DFMEA) and Design Reviews; Project management in an engineering environment; Engineering mechanics, electronics, physics, and manufacturing methods; and Working through Engineering Change Management processes.
#LI-DNI
]]>Descrição da vaga : Mecatrônico com experiência em manutenção de sistemas de utilidades, programação de PLCs e supervisórios em uma empresa de grande porte. A vaga busca perfil inovador e ambidestro, com foco em resultados sustentáveis e Trabalho em Time.
Responsabilidades:
Atuando em manutenções corretivas, preventivas, preditivas na área de utilidades;
Participação em projetos de eficiência de utilidades (melhoria contínua);
Programação de sistemas supervisórios para ativos de utilidades;
Automação e criação de machine learning nos processos de utilidades.
Requisitos mandatórios:
Formação técnica completa em Eletrônica, Eletrotécnica ou Mecatrônica;
Inglês básico;
Experiência prévia em ambiente industrial;
Experiência em programação de PLCs e dispositivos de automação: (Siemens, Rockwell ou equivalentes), incluindo: Análise, correção e otimização de lógicas de controle, parametrização de inversores de frequência, redes, soft-starters e módulos de I/O;
Experiência com programação de sistemas supervisórios: IHMs e boards ( sistemas Rockwell e/ou Siemens);
Experiência em manutenções preventivas e preditivas: experiência em execução e melhorias nos planos;
Conhecimento do Sistema de Gestão de Segurança (WSS), normal de meio ambiente e qualidade;
Conhecimento de normas de segurança NR-10, NR-12,NR35;
Conhecimento de equipamentos de Utilidades (compressores, geradores, torres de refrigeração, etc);
Disponibilidade para atuar em diferentes turnos de trabalho;
Disponibilidade para escalas de fins de semana/feriados, conforme necessidade produtiva.
Requisitos desejáveis:
Superior completo ou cursando (Engenharias ou Tecnólogo) nas áreas técnicas de elétrica;
Inglês intermediário;
Uso de IA para desenvolvimento de dashboards e apresentações.
We are seeking a strategic and results-oriented leader to define and advance the GM Energy customer experience across products, channels, and partners. This role will protect the current customer experience while preparing GM Energy for future generation products, Battery Storage Leasing, V2G, and future energy services. The ideal candidate can turn customer insight into action across GM.
Hybrid/Remote: This role is based remotely, but if the selected candidate lives within a specific mile radius of a GM hub, they will be expected to report to the location three times a week {or other frequency dictated by your manager}.
What You’ll Do:
Your Skills & Abilities (Required Qualifications):
What Can Give You a Competitive Advantage (Preferred Qualifications)
Compensation: The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position, as well as geography of the selected candidate.
• The salary range for this role is $160900-$246,500. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.
• Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.
Benefits:
• Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.
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We are seeking a highly skilled and experienced Principal TLM (Technical Lead Manager) to lead the development and optimization of our Machine Learning (ML) Data Infrastructure. This role is crucial for enabling cutting-edge AI solutions and driving data-driven innovation across General Motors.
What You'll Do:
* Lead and manage a team of engineers in the design, development, and maintenance of scalable and robust ML data infrastructure, ensuring high performance, reliability, and security.
* Define and implement architectural patterns and best practices for data ingestion, processing, storage, and access within the ML ecosystem, utilizing Agile Methodology.
* Collaborate with ML engineers, data scientists, data platform engineers, and product teams to understand data requirements and translate them into technical specifications for the data infrastructure.
* Conduct in-depth analysis of existing systems, identifying bottlenecks and opportunities for improvement in data pipelines and analytical platforms.
* Utilize strong understanding of data pipeline development and existing and upcoming technologies to design efficient data flows and system architectures.
* Oversee the evaluation and integration of new technologies and tools to enhance the ML data infrastructure capabilities.
* Provide technical guidance and mentorship to junior engineers, fostering a culture of innovation and continuous learning.
* Work with relevant partners to ensure compliance with data governance policies, security standards, and regulatory requirements.
* Participate in strategic planning and road mapping for the ML data infrastructure, aligning with overall company objectives.
* Proactively identify and address potential issues, demonstrating a Detail-Oriented approach to problem-solving.
* Utilize Qualitative Research to understand user needs and inform infrastructure development.
Your Skills & Abilities:
* Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
* 10+ years of experience in data engineering, software development, or a related field with a focus on Machine Learning (ML) data infrastructure.
* Proven experience in leading and managing technical teams.
* Deep expertise in designing, building, and operating large-scale data systems and Analytical Platforms.
* Proficiency in multiple Computer Languages relevant to data engineering (e.g., Python, Scala, Java).
* Strong understanding of Artificial Intelligence (AI) and Machine Learning (ML) concepts and their data requirements.
* Demonstrated ability in Determining System Requirements and translating them into technical solutions.
* Solid understanding of Agile Methodology and experience working in an agile environment.
* Excellent analytical, problem-solving, and communication skills.
* Highly Detail-Oriented with a commitment to quality and accuracy.
Preferred Qualifications:
* Previous experience in Robotics or Autonomous Driving.
Remote/Hybrid: This role is categorized as fully remote or hybrid.
Compensation: The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of the California Bay Area.
Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.
Company Vehicle : Upon successful completion of a motor vehicle report review, you will be eligible to participate in a company vehicle evaluation program, through which you will be assigned a General Motors vehicle to drive and evaluate. Note: program participants are required to purchase/lease a qualifying GM vehicle every four years unless one of a limited number of exceptions applies.
Relocation: This job may be eligible for relocation benefits.
#LI-CX1
#GM-AV-1
]]>GM Energy is building an integrated ecosystem of electric-vehicle charging, vehicle-to-home, vehicle-to-grid, energy-storage, and energy-management products and services.
The Lead – Warranty owns the end-to-end warranty process for GM Energy products and services. This role evaluates and resolves warranty concerns consistently, efficiently, and accurately. The person connects customer cases, field-service information, product data, supplier performance, cost, and quality or safety signals. The role improves customer experience, product reliability, serviceability, and total cost of ownership while building structure in a growing business.
What You’ll Do:
At General Motors we pride ourselves on designing, building and selling the world's best vehicles. We are seeking a new generation of visionaries to help launch bold engineering and business initiatives, and shape new directions for General Motors. As an intern or co-op student through our Student Program you will gain hands-on career specific experiences to maximize your real world potential.
Looking for a position that demonstrates your high level of analytical ability where problems are unusual and difficult? Our culture here at GM cultivates innovative thinking where we like to see things not as they are but as they could be. We also look to put quality and safety at the forefront of everything we do.
As a Quality Engineer Intern at GM would drive problem solving and resolutions based on data driven solutions to suppliers and internal customers. Your work would involve functioning as a technical liaison between production operations, engineering, suppliers, and supplier quality at a GM manufacturing plant.
Responsibilities:
Interact with production and engineering on part measurement results to part print specifications to assure quality and reliability
Ensure effective containment and resolution to identified non-conforming product
Communicate emerging issues for responsible components daily to Quality Systems Manager
Coordinate repair, rework, and containment activities for identified spills
Validate supplier scrap
Work with Supplier Practical Problem Solving (SPPS) process on supplier related issues
Support the PTR Process by running PTR's and evaluating impact on the product / function
Support launch activities of new products
Support the implementation and effective adherence to all elements within GMS
Required Qualifications:
Pursuit of a Bachelor’s degree in one of the following areas: Mechanical Engineering, Mechanical Engineering Technology and Quality Engineering
Must be graduating between December 2027 and June 2030
Able to work full-time, 40 hours per week
Must be willing to work in a plant environment
Must be enrolled in a co-op program through Kettering University or Rochester Institute of Technology
Preferred Qualifications:
Proficient in reading part drawings and interpretation of part measurements
Outstanding interpersonal and relationship management skills with the ability to effectively collaborate with varying levels of the organization
Excellent written and verbal communication skills with the ability to distill complex subjects to a wider audience
Evidence of strong character with integrity, honesty, accountability and trust
Consistently demonstrates innovative thinking that is customer-centric
Excellent project management skills and the proven ability to manage multiple projects at any given
Specific physical requirements of the position include the ability to:
Walk and stand for prolonged periods of time.
Read standardized work instructions, operate machines and tools, and perform quality inspections.
Promptly detect and respond to safety instructions, alarms, and signals. Wear personal protective equipment, for example: safety glasses, gloves, hats, ear plugs, and safety shoes.
Work in a loud manufacturing environment that is not climate controlled (conditions can be hot or cold).
Frequently and repetitively bend, twist, kneel, crouch, and reach to perform work.
Lift or carry materials weighing up to 15 pounds and periodically carry or lift materials weighing up to 40 lbs.
Occasionally sit, climb (including ladders and lifts) and drive vehicles and equipment.
GM does not provide immigration-related sponsorship for this role. Do not apply for this role if you will need GM immigration sponsorship now or in the future. This includes direct company sponsorship, entry of GM as the immigration employer of record on a government form, and any work authorization requiring a written submission or other immigration support from the company (e.g., H1-B, OPT, STEM OPT, CPT, TN, J-1, etc.)
Work Arrangement:
Onsite: This role is categorized as onsite. This means the successful candidate is expected to report to their assigned facility on a full-time basis.
Each successful candidate will be offered an onsite role at a specific location. Candidate location preferences are considered but cannot be guaranteed.
Job Location:
We have opportunities available in the locations below for this role. Please indicate in your application which of these locations you are interested in.
Bay City, MI
Flint, MI
Rochester, NY
Tonawanda, NY
GM will provide a one-time lump sum taxable stipend payment to eligible students selected for the 2027 Student Program – to help facilitate administration of relocation benefits, please apply using the permanent address you would move from.
General Motors has a need for qualified Mechanical Journeypersons (Pipefitter). You will work under minimal supervision with a high level of independent judgement and problem solving. You should be flexible enough to take on and tackle multiple job assignments in a shift.
Preferred Experience Includes:
Experience with planned maintenance systems and predictive technologies
Experience with industrial robotics, automation, and conveyance systems
Primary Responsibilities:
Follow established safety procedures according to OSHA standards and company procedures
Maintain, dismantle, repair, and replace mechanical and hydraulic components (e. g. bearings, seals, details, carriers, etc.) on industrial machinery such as shafting, motors, generators, air compressors, engines, pumps, cylinders, gears, couplings, linkages, ball screws, high speed CNC spindles, coolant systems and filters, and combustion equipment and valves
Layout, assemble, fabricate, maintain, and repair piping systems
Use various hand or power tools for measuring, cutting, threading, grooving, bending, soldering, assembling, joining, and installing pipes, valves, and fittings
Read and interpret blueprints for the mechanical operation and assembly of conveyor systems, material handling systems, robots, and other automation
Operate mobile equipment (e.g. forklifts, vertical lifts, cranes)
Determine loading requirements to rig equipment and material for lifting
Set up and operate conventional or computer numerically controlled (CNC) machine tools such as lathes, milling machines, and grinders to cut, bore, grind, or otherwise shape parts to prescribed dimensions and finishes
Fabricate punches, tools, steel rule tools and t-sets to exact specifications
Plan sequences of operations for fabricating tools or assemblies using blueprints, sketches, or models
Determine quality of finished products, ensuring defect-free parts, by verifying dimensions, alignment, and clearances for conformance to specifications using measuring instruments such as calipers, gauge blocks, micrometers, and dial indicators
Interested individuals must meet the following minimum qualifications:
At least six (6) years of related experience in a Mechanical trade (millwright, pipefitter, toolmaker, machine repair) or a U.S. Department of Labor Certificate of Completion in a Mechanical trade (millwright, pipefitter, toolmaker, machine repair).
Must be able to satisfactorily complete the General Motors hiring process requirements which includes comprehensive assessments, drug testing, and a background check
At least 18 years of age
Eligible to work in the United States
Must be willing to work flexible shift hours and day, afternoon, or night shifts as well as overtime hours daily, weekend and holidays on those shifts with little notice
GM DOES NOT PROVIDE IMMIGRATION-RELATED SPONSORSHIP FOR THIS ROLE. DO NOT APPLY FOR THIS ROLE IF YOU NEED OR WILL NEED GM IMMIGRATION SPONSORSHIP TO WORK OR TO REMAIN EMPLOYED AT GM (e.g., H-1B, TN, STEM OPT, etc.).
If you are a current GM employee operating under a collective bargaining agreement, please contact your local HR/LR for employee placement opportunities.
This position may be filled with a Journeyperson or Journeyperson In Training, the compensation ranges for a JIT include ($37.88 -$44.19) or Journeyperson rate of ($45.09). Certificates/credentials and scoring in interview will determine your status and pay.
Physical Requirements:
Quick response to safety instructions, alarms, and signals are a must
Ability to work and stand for extended periods
Comfortably wear personal protective equipment
Navigate a busy environment
Bend, twist, kneel, crouch, and reach
May need to lift or carry materials weighing up to 50 lbs. depending on department
Occasional sitting during certain tasks
Drive mobile equipment when needed
General Motors UAW hourly employment offers a very competitive compensation and benefit package. An annual incentive payout is also available, as qualified.
Relocation and travel expenses will be the responsibility of the applicant.
Please note – per the labor agreement between GM and the UAW, GM may share information and documentation relating to the credentials of applicants for this position (e.g., resumes, journeyperson cards, interview notes, certificates, etc.) with UAW personnel who have a need to know as part of their role on the UAW skilled trades team.
#LI-MJ1
We’re General Motors (GM), a company driving the future of mobility with advanced self-driving and electric vehicle technologies.
We’re building the world’s most innovative autonomous vehicles to safely connect people to the places, things, and experiences they care about. We believe self-driving vehicles will help save lives, reshape cities, give back time in transit, and restore freedom of movement for many.
GM employees have the opportunity to grow and develop while learning from leaders at the forefront of their fields. With a culture of internal mobility, there’s an opportunity to thrive in a variety of disciplines. This is a place for dreamers and doers to succeed.
If you are looking to play a part in making a positive impact in the world by advancing the revolutionary work of self-driving vehicles, join us.
About the team:
The AV ML Infra team at GM builds end-to-end ML platforms and developers facing products designed to meet the unique demands of AI and ML innovation, supporting a wide range of use cases across teams such as Embodied AI, Simulation, Data Science, and more. We enable scalable and efficient ML experimentation, enhance the productivity of ML engineers, and drive the adoption of cutting-edge ML techniques.
Our ML infrastructure includes:
AI Validation & Inference: Ensures robust model performance by running large-scale simulation workloads and managing reliable ML inference pipelines.
ML Compute: Streamlines and optimizes large-scale ML training and inference across cloud and on-prem compute resources.
AV Pipelines & Lineage: Automates ML workflows while tracking data and model lineage across diverse infrastructures, accelerating engineering velocity and ensuring reproducibility.
Together, these tools and systems empower GM to tackle the complexities of autonomous driving technology and expedite our path to commercialization.
Position Overview:
As a Senior AI/ML Full-Stack Engineer , you will design and build end-to-end software products , owning everything from user-facing interfaces to backend services and cloud infrastructure. You will lead technically complex projects, collaborate closely with product managers and platform teams, and mentor junior engineers.
This is a hands-on individual contributor role with a strong emphasis on technical depth, system design, and product impact rather than people management.
Note: This role is part of an ML infrastructure engineering team and does not involve applying machine learning models for specific tasks. The focus is on developing infrastructure products that empower GM teams to perform machine learning and data science at scale.
What you’ll be doing:
Full-Stack Development : Design, implement, and maintain user-facing web applications and internal tools used by AV engineering teams. Build scalable backend services and APIs that power frontend experiences. Ensure systems are secure, reliable, and performant at scale.
Frontend Engineering: Develop modern, responsive UIs using frameworks such as React, Angular, or similar, Collaborate with UX and product partners to deliver intuitive workflows and polished user experiences. Translate complex backend concepts into clear, usable interfaces.
Design & Implementation: Utilize the latest cloud technologies (GCP/Azure) to design, implement, and test scalable distributed computing and data processing solutions in the cloud.
Project Ownership: Take ownership of technical projects from inception to completion, contribute to the product roadmap, and make informed decisions on major technical trade-offs.
Collaboration: Engage effectively in team planning, code reviews, and design discussions, considering the impact of projects across multiple teams while proactively managing conflicts.
Mentorship & Recruitment: Conduct technical interviews with calibrated standards, onboard, and mentor engineers and interns, fostering a culture of growth and knowledge sharing.
What you must have:
5+ years of professional software engineering experience, including full-stack development.
Experience building and operating production-grade web applications
1+ years of experience leading and driving large-scale initiatives.
Proficiency in building scalable infrastructure on the cloud using Python, C++, Golang, or similar languages.
Experience working with relational and NoSQL databases.
Demonstrated ability to develop and maintain systems at scale.
A Bachelor’s, Master’s, or Ph.D. in Computer Science, Electrical Engineering, Mathematics, Physics, or a related field; or equivalent practical experience.
A passion for autonomous vehicle technology and its transformative potential.
Strong attention to detail and a commitment to accuracy.
A proven track record of efficiently solving complex problems.
A startup mentality with a willingness to embrace uncertainty and wear multiple hats.
Bonus Points:
Experience with Google Cloud Platform, Microsoft Azure, or Amazon Web Services.
Experience with open-source orchestration platforms such as Kubeflow, Flyte, Airflow, etc.
Experience with Kubernetes.
Understanding of Machine Learning (ML) models/pipelines.
Python/C++/Golang proficiency.
Relevant publications.
Compensation:
Benefits:
We’re General Motors (GM), a company driving the future of mobility with advanced self-driving and electric vehicle technologies.
We’re building the world’s most innovative autonomous vehicles to safely connect people to the places, things, and experiences they care about. We believe self-driving vehicles will help save lives, reshape cities, give back time in transit, and restore freedom of movement for many.
GM employees have the opportunity to grow and develop while learning from leaders at the forefront of their fields. With a culture of internal mobility, there’s an opportunity to thrive in a variety of disciplines. This is a place for dreamers and doers to succeed.
If you are looking to play a part in making a positive impact in the world by advancing the revolutionary work of self-driving vehicles, join us.
About the team:
The AV ML Infra team at GM builds ML infrastructure designed to meet the unique demands of AI and ML innovation, supporting a wide range of use cases across teams such as Embodied AI, Simulation, Data Science, and more. We enable scalable and efficient ML experimentation, enhance the productivity of ML engineers, and drive the adoption of cutting-edge ML techniques.
Our ML infrastructure includes:
AI Validation & Inference: Ensures robust model performance by running large-scale simulation workloads and managing reliable ML inference pipelines.
ML Compute: Streamlines and optimizes large-scale ML training and inference across cloud and on-prem compute resources.
AV Pipelines & Lineage: Orchestrates ML workflows while tracking data and model lineage across diverse infrastructures, accelerating engineering velocity and ensuring reproducibility.
Together, these tools and systems empower GM to tackle the complexities of autonomous driving technology and expedite our path to commercialization.
Position Overview:
The Principal AI/ML Engineer will lead a growing organization, guiding the AV ML Infra team in achieving its mission while shaping long-term vision and execution strategies across GM’s AI and ML efforts. This leadership role will drive a transformative leap in our infrastructure capabilities to meet the scale we anticipate. The leader will articulate a clear vision and strategy, design an organizational structure to enable effective execution, and cultivate strong partnerships across cross-functional teams and stakeholders.
Note: This role is part of an ML infrastructure engineering team and does not involve applying machine learning models for specific tasks. The focus is on developing infrastructure products that empower GM teams to perform machine learning and data science at scale.
What you’ll be doing:
Design & Implementation: Utilize the latest cloud technologies (GCP/Azure) to design, implement, and test scalable distributed computing and data processing solutions in the cloud.
Project Ownership: Take ownership of technical projects from inception to completion, contribute to the product roadmap, and make informed decisions on major technical trade-offs.
Collaboration: Engage effectively in team planning, code reviews, and design discussions, considering the impact of projects across multiple teams while proactively managing conflicts.
Mentorship & Recruitment: Conduct technical interviews with calibrated standards, onboard, and mentor engineers and interns, fostering a culture of growth and knowledge sharing.
What you must have:
10+ years of experience, with a strong background in large-scale distributed systems preferred.
5+ years of experience leading and driving large-scale initiatives.
Proficiency in building scalable infrastructure on the cloud using Python, C++, Golang, or similar languages.
Experience working with relational and NoSQL databases.
Demonstrated ability to develop and maintain systems at scale.
A Bachelor’s, Master’s, or Ph.D. in Computer Science, Electrical Engineering, Mathematics, Physics, or a related field; or equivalent practical experience.
A passion for autonomous vehicle technology and its transformative potential.
Strong attention to detail and a commitment to accuracy.
A proven track record of efficiently solving complex problems.
A startup mentality with a willingness to embrace uncertainty and wear multiple hats.
Bonus Points:
Experience with Google Cloud Platform, Microsoft Azure, or Amazon Web Services.
Experience with open-source orchestration platforms such as Kubeflow, Flyte, Airflow, etc.
Experience with model serving frameworks such as RayServe, vLLM, Triton.
Experience with Kubernetes.
Understanding of Machine Learning (ML) models/pipelines.
Python/C++/Golang proficiency.
Relevant publications.
Compensation: The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of New York, Colorado, California, or Washington.
The salary range for this role is $275,800 to $340,500. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.
Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.
Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.
Benefits:
Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.
Relocation: This job may be eligible for relocation benefits.
Remote/Hybrid: This role is based remotely but if you live within a 50-mile radius of Mountain View, you are expected to report to that location three times a week, at minimum.
General Motors is undergoing a major transformation, both in how we operate and in how we will influence the future of transportation. Our Software Services team is on the forefront of this work, emboldening our culture by seeking out determined, innovative individuals who will join our team to help move us forward and achieve our mission.
The General Motors Global IT Organization is seeking to identify highly motivated and qualified individuals for potential future opportunities as a Staff Systems Configurator – SAP Functional Analyst (Level 8 individual contributor) to design, configure, and support SAP solutions that enable our end-to-end value chain across:
Source-to-Deliver / Source-to-Pay (Supply Chain & Direct Material Sourcing and Procurement for Automotive)
Make-to-Ship (Manufacturing & Plant Operations)
Order-to-Delivery (Order Management & Distribution)
This requisition is intentionally broad across SAP specialties, including but not limited to SD, FI-CO, MM, PP, WM, EWM, Ariba Direct Material Sourcing and Procurement for Automotive, and S/4HANA. You do not need experience in all of the areas listed; we are seeking strong SAP talent across one or more of these modules and encourage candidates to apply even if their expertise is focused in specific domains.
This role is scoped as a Level 8 expert individual contributor in the Systems Configurator job family, leading complex, multi-team SAP initiatives and setting functional direction in partnership with Senior (Level 7) Systems Configurators.
Location: Warren, MI or Austin, TX
The Role
As an SAP Functional Analyst, you will collaborate with cross-functional teams in Product Lifecycle Management, Global Purchasing & Supply Chain (GPSC), Manufacturing, Logistics, and Order Management to gather requirements and to design, configure, and support SAP solutions that meet business needs across the Source-to-Deliver, Make-to-Ship, and Order-to-Delivery spaces.
You will implement scalable SAP processes, ensure solutions align with industry best practices and GM’s IT Solution Delivery Methodology, optimize business operations, support and extend SAP modules, drive process improvements through automation and standardization, and help design and build new SAP-based landscapes that transform how work is done today. At the staff level, you will also own the functional roadmap for your domains, lead design decisions that span multiple product teams, and act as the primary advisor to leaders on SAP capability and process strategy.
You will:
Translate business needs into robust, integrated SAP configurations and functional designs.
Optimize business operations in areas such as Order Management, Pricing, Billing, Supply Chain, Logistics, Direct Material Sourcing & Procurement, Purchasing, Production Planning & Execution, Warehousing, and Master Data.
Support GM’s journey to S/4HANA and SaaS-first solutions, helping rationalize and modernize the SAP and surrounding application landscape.
Define and champion SAP configuration standards, patterns, and guardrails for Senior (Level 7) and mid-level Systems Configurators across your functional domains.
Provide final functional sign-off for high-risk or high-impact changes, balancing stability, scalability, and speed of delivery.
What You’ll Do
Lead SAP configuration and solution design for core business processes such as Order to Cash, Procure to Pay, Production Planning & Execution, and related workflows. This includes ownership of complex, cross-functional initiatives that span multiple SAP products, regions, or business units.
Oversee financial postings, cost allocations, and supplier collaboration as they relate to your SAP functional domains.
Support sourcing, procurement, supplier management, production planning, logistics, inventory control, warehouse management, and goods movement processes.
Collaborate with business stakeholders, analysts, and technical teams to gather requirements and deliver SAP solutions that are scalable, secure, and aligned with GM standards. Influence prioritization and trade-offs across teams to ensure solutions advance key GM objectives, not just local optimizations.
Participate in testing, validation, and deployment of SAP enhancements and new functionalities; ensure strong end-to-end process validation. Drive the overall test strategy for your domains and ensure appropriate use of automation and regression testing.
Support integration of SAP with external systems, partnering with integration and infrastructure teams.
Help evaluate and rationalize the existing manufacturing, supply chain, and order management application landscape, determining which solutions are integrated with, absorbed into, or retired in favor of SAP S/4HANA and related SAP SaaS solutions.
Participate in SAP upgrades, migrations, and digital transformation initiatives, including S/4HANA and cloud/SaaS adoption. Serve as a key decision-maker on fit-to-standard vs. extension, aligned with GM’s clean core strategy.
Apply standard SAP functionality to meet business needs, minimizing custom development while still addressing critical gaps via RICEFW objects.
Contribute to application management and production support, including issue triage, root-cause analysis, and continuous improvement in your functional areas. Act as the top functional escalation point for complex incidents and systemic issues.
Create and maintain process documentation, configuration guides, and training materials to support adoption and reuse.
Mentor junior team members and promote best practices in SAP solution delivery, testing, and operations. Systematically coach Senior Systems Configurators and other team members, building depth and succession in critical SAP domains.
Adhere to organizational IT standards, security protocols, and industry best practices, including relevant regulatory and internal control requirements. Proactively identify control gaps and drive remediation in partnership with Risk, Compliance, and Audit teams.
Your Skills & Abilities (Required Qualifications)
Bachelor’s degree in a relevant field (e.g., Computer Science, Information Technology, Engineering, Business Computing, Information Systems, Supply Chain) or equivalent experience.
Extensive hands-on SAP experience, including configuration of one or more relevant modules, for example:
SD Order Management, Pricing, Billing, Order-to-Cash.
FI-CO integration with Supply Chain, Manufacturing, or Order Management.
MM, WM, EWM procurement, inventory, warehouse, and logistics execution.
PP / Manufacturing production planning and execution, plan-to-produce.
DMe/DMC SAP Digital Manufacturing or other digital manufacturing solutions, and integration with plant-floor and logistics systems.
Ariba Direct Material Sourcing and Procurement for Automotive.
S/4HANA functional configuration and extensibility.
Proven track record leading end-to-end SAP solution delivery for complex programs (e.g., multi-release roadmaps, large deployments, S/4 migrations, or significant new capability introductions).
Strong understanding of SAP principles and extensibility approaches, including how to design upgrade-safe, cloud-compliant solutions.
Solid business process knowledge in areas such as Order Management, Pricing, Billing, Supply Chain, Logistics, Direct Material Sourcing & Procurement, Purchasing, Production Planning, Warehousing, and Master Data.
Experience supporting integration with other SAP modules and external systems, including familiarity with common interface technologies (e.g., IDocs, APIs, middleware).
Familiarity with software testing, automation, and quality assurance practices; ability to define and execute test plans and support automated/regression testing.
Ability to debug and analyze SAP systems, preferably with some ABAP knowledge to support issue analysis and collaboration with development teams.
Demonstrated analytical and problem-solving skills, with a structured approach to diagnosing issues and proposing options.
Strong commitment to continuous improvement, teamwork, and integrity, including willingness to learn new SAP and cloud capabilities.
Ability to set direction for a functional area, influence architecture and product roadmaps, and make sound trade-off decisions.
What Will Give You a Competitive Edge (Preferred Qualifications)
SAP certification in one or more relevant modules (e.g., SD, MM, PP, WM/EWM, FI-CO, Ariba, S/4HANA).
Experience with SAP Automotive Suite or similar industry-specific solutions supporting OEMs, suppliers, or complex manufacturing.
Familiarity with the SAP Integrated Tool Chain – including Signavio (process modeling), SAP Cloud ALM (CALM), and Tricentis (Tosca) – as well as SAP Fiori and SAP BTP, especially for cloud-based SAP extensions and integrations.
Exposure to SAP AI / analytics capabilities and apply analytics/AI in manufacturing, supply chain, or order management use cases.
Experience with EDI transaction sets (ANSI X12, EDIFACT) and related communication protocols, and/or other integration platforms (e.g., SAP PI/PO, SAP Integration Suite, Sterling, Connect Direct).
Background working with manufacturers, suppliers, or service providers, ideally in automotive or complex discrete manufacturing environments.
Prior consulting experience or working with global stakeholder groups, including experience in regulated environments (e.g., SOX, internal controls, legal/tax requirements).
Demonstrated ability to represent your functional area in senior-level forums (e.g., steering committees, enterprise design councils) and to influence outcomes across organizations without direct authority.
Hybrid
This role is categorized as hybrid. The successful candidate is expected to report to Warren, MI or Austin, TX, three times per week, at minimum, or as dictated by business needs.
Hybrid: This role is categorized as hybrid. This means the successful candidate is expected to report to Austin TX IT Innovation Center or Warren Michigan GM Technical Center 3-4 days per week (T-W-Th)
The Role
We are seeking a highly skilled Senior Software Engineer to join our digital commerce engineering team, with a primary focus on React-based front-end development, Shopify commerce experiences, and digital customer experience optimization.
This role will help design, build, and evolve the customer-facing experiences that power our eCommerce platform. The ideal candidate has strong experience building scalable front-end applications using React and Shopify, and brings a strong engineering mindset around code quality, reliability, testing, CI/CD, observability, and delivery excellence. Experience working with enterprise or headless CMS platforms is a plus. Exposure to experimentation, personalization, and modern digital experience platforms is also beneficial.
As a Senior Software Engineer, you will work closely with product managers, designers, architects, and cross-functional engineering teams to deliver high-quality, scalable, and maintainable solutions that improve customer experience and speed of delivery. You will also be expected to communicate effectively with both technical and non-technical stakeholders, contribute to a collaborative team environment, and help strengthen engineering best practices across the team.
What You’ll Do
Your Skills & Abilities (Required Qualifications)
What Will Give You A Competitive Edge (Preferred Qualifications)
#LI-CK1
Gm does not provide immigration-related sponsorship for this role. Do not apply for this role if you will need gm immigration sponsorship (e.g., h-1b, tn, stem opt, etc.) Now or in the future.
GM may support relocation for this position.
Work Arrangement: This role is categorized as hybrid. This means the successful candidate is expected to report to the office three times per week, at minimum.
The Role
General Motors is seeking a highly skilled and motivated Engine Combustion & Airflow Technical Specialist to join our Engine Performance and Calibration team. This role is critical in shaping the future of internal combustion engine (ICE) technology through high-fidelity computational fluid dynamics (CFD) simulations. The ideal candidate will have deep expertise in engine airflow, gas exchange, combustion modeling, fuel injection spray, exhaust systems and emissions control, and will contribute to the design and optimization of next-generation gasoline and diesel combustion systems and airpaths.
What You'll Do
Lead the technical method development and roadmap for fuel spray, in-cylinder mixture preparation, combustion analysis, exhaust and aftertreatment systems, manifolds and boosting systems.
Own scorecards for critical hardware release metrics for combustion, airflow, exhaust systems, aftertreatment, and exhaust sensors
Design and optimize combustion chamber geometries for improved efficiency, power output, and emissions performance.
Simulate and interpret combustion processes, heat transfer, cold start behavior, and catalyst heating strategies.
Provide component-level and/or system-level design recommendations to Hardware & Calibration Technical Specialists based on interpretation of analysis results
Own and enhance current standard analysis practices and/or tools to improve prediction fidelity and/or execution speed
Lead, execute, and coordinate analysis capability development initiatives, with emphasis on an “all virtual” future
Drive testing to support the development of first-time capable analysis techniques
Stays abreast of new technology and competitive products
Lead cross-functional teams including engine design, calibration, controls, and emissions compliance.
Interface with software vendors to convey future needs and impart change
Work with leadership, development partners, and PMT Technical Specialists to identify gaps and priorities for analysis growth
Seek out state of the art tools and methods and maintain a benchmark of industry capability and trends
Lead analysis support for code red and urgent product issue resolution
Interface with other virtual groups to establish common processes
Communicate status to leadership and escalate issues/roadblocks within the organization, as necessary
Represent GM for external collaborations and conferences
Your Skills & Abilities (Required Qualifications)
10+ years’ experience with compressible CFD analysis of powertrain-related systems
MS in Mechanical Engineering, Aerospace Engineering or a related field with a focus on internal combustion engines or fluid dynamics
7+ years’ experience in CFD software (CONVERGE, STAR-CD, STAR-CCM+ or similar) for gasoline or diesel mixture preparation / combustion simulation
Highly proficient with ProStar, ICEM, Hypermesh, Tgrid, or equivalent CFD meshing software
Highly proficient with Converge, Siemens CCM+ In-Cylinder Solution, StarCD, AVL Fire, or equivalent CFD software
Highly proficient with Ensight, ProStar or equivalent CFD post-processing software
Proficient in programming (Java, MATLAB, Python), workflow automation, and customization of tools surrounding main vendor software
Strong understanding of engine combustion testing, data acquisition and analysis
Demonstrated experience leveraging machine learning, advanced statistical methods, model-based calibration and/or multi-disciplinary CAE optimization
What Will Give You A Competitive Edge (Preferred Qualifications)
PhD in Mechanical Engineering or related fields
Proficient in application of machine learning, data driven modeling techniques in context of engine simulations
Proficient with GT-Power, WAVE, AVL Boost, or equivalent 1D engine simulation software
Experience with hands-on engine testing, data acquisition and calibration tools (AVL Concerto, Indicom, ETAS)
This job may be eligible for relocation benefits
#LI-LG2
The Simulation group is solving one of self-driving’s most difficult problems: evaluating the performance of the autonomous driving software stack before it reaches public roads.
As a software engineer on the SimCore team, you will drive the development of our simulation scenarios that enable high-fidelity and high-performance validation of the autonomy stack, as well as the gym environment for reinforcement learning model training. We are looking for an engineer passionate about providing the best developer experience, and who can effectively drive collaborations across large engineering organizations. This role will lead you to learn the ins and outs of our autonomous driving software stack, simulation frameworks, and RL model training.
Required Skills
Desired Skills
Compensation:
Every day, our products move millions of people as we aim to make driving safer, smarter, and more connected, shaping the future of transportation on a global scale..
Company Vehicle: Upon successful completion of a motor vehicle report review, you will be eligible to participate in a company vehicle evaluation program, through which you will be assigned a General Motors vehicle to drive and evaluate. Note: program participants are required to purchase/lease a qualifying GM vehicle every four years unless one of a limited number of exceptions applies.
The Role
As an Engineering Technical Leader (ETL) you will be a leader and expert in Interior IP, Console, Mechanisms and Decorative Trim programs with an unwavering focus on safety, quality, technical excellence, and flawless execution. You will be responsible for setting the future of the commodity while enabling disciplined delivery to all GVDP milestones while enabling beautiful design execution and achieving cost, quality, and performance targets across GM the vehicle portfolio. This role serves as a people leader for approximately 10 Design and Release Engineers (DREs) and Technical Specialists (TS), bringing strong engineering fundamentals, system thinking, and technical rigor to all interior system releases.
What You’ll Do (Responsibilities)
Program & Technical Leadership
Lead a high‑performing team of IP/Console/Deco/Mechanisms DREs across multiple programs to deliver GVDP milestones with discipline and engineering excellence.
Be the technical expert for anything related to IP/Console/Deco/Mechanisms and it’s components.
Conduct and drive technical design reviews , ensuring solutions are aligned with BOM row strategies, meet functional/performance requirements, and uphold GM engineering fundamentals.
Partner closely with other ETL’s to maintain technical coherence, design robustness, and cross‑program consistency.
Champion DFMEA quality, robust design, peer reviews, and DFSS methodology to achieve “read‑across” improvements that lift global quality.
Systems Engineering, Robustness & Issue Resolution
Drive an analytical foundation for design decisions, enabling data‑driven engineering and robustness validation.
Lead escalated technical issue resolution and partner with ETLs, TS, VSEs, Validation, and global teams to ensure timely and technically sound solutions.
Ensure smooth alignment with System Safety, GPSC, Manufacturing Engineering, Quality, and Program Leadership .
Strategic Collaboration & Innovation
Collaborate with the Design Studio , Vehicle Architecture, SMT Leadership, and Manufacturing to balance customer experience, feasibility, craftsmanship, and cost.
Support innovation and new technology introduction for IP Trim, Floor Console, and Deco/Ambient Lighting systems through supplier partnerships and enterprise technology roadmaps.
Understand and implement use of automation on Manufacturing when applicable/appropriate.
Maintain a Technology Roadmap demonstrating future direction of the commodity
Operational Excellence & Enterprise Alignment
Actively contribute to business strategic initiatives including CAE‑driven design, virtual execution, automation, faster development and enhanced supply chain.
Lead supply chain evaluation and technical assessment.
Maintain process discipline through the hardware operating system, including documentation, lessons‑learned read‑across, risk management, and disciplined engineering execution.
People Leadership
Inspire, coach, and develop DREs and technical specialists, guide career growth, talent acceleration, and technical maturity.
Foster a culture of accountability, collaboration, psychological safety, and development.
Strengthen knowledge management, drive global alignment, and build technical depth across the broader team.
What You’ll Need (Required Qualifications)
Bachelor of Science in Engineering
15+ years of automotive engineering experience, preferably in Instrument Panel, Deco and Floor Console development with demonstrated levels of outstanding performance.
Demonstrated sub-system expertise in injection molded trim, foam-in-place, thermoformed skins, and cut and sew wrapping of substrates.
Detailed knowledge of Instrument Panel, Decorative Trim, and Floor Console performance requirements including applicable regulations and best practices.
Demonstrated early product development to launch expertise and capability.
Thorough understanding of Instrument Panel, Floor Console system requirements and potential vehicle trade-offs
Demonstrated expertise in component/subsystem design and development , with strong proficiency in design execution, engineering fundamentals, and vehicle integration.
Proven people leadership skills with ability to motivate, develop, and manage engineering talent.
Strong cross‑functional communication skills, with ability to explain complex technical topics across SMTs and global teams.
Demonstrated ability to manage ambiguity , make timely decisions, and drive program alignment.
Success working with global counterparts and balancing diverse regional requirements.
Ability to manage multiple priorities with composure, discipline, and executional excellence.
What Will Give You a Competitive Edge (Preferred Qualifications)
Master of Science – Engineering
Master of Business Administration (MBA)
DFSS Green Belt and Black Belt
Previous experience in IP, Console, Decorative Trim or Interiors engineering leadership roles
Experience partnering with Technical Leaders and Technical Specialists to drive system‑level engineering excellence
Demonstrated ability to lead cross‑program technical strategy, quality read‑across, and enterprise alignment
Recognized technical knowledge through patents and recognitions from forums of expertise
#LI-KM2
]]>This role is categorized as on-site. This means the successful candidate is expected to be physically located at PATAC, collaborate with the JV, and report to GM in Shanghai, China full time.
What You’ll Do -
1. Total Vehicle Experience & Product Strategy
2. Intelligent Cockpit & ADAS Portfolio Leadership
3. Software, Digital, and AI Execution
4. Connectivity, Services & Shanghai OnStar
5. Enterprise & IT / Digital Foundations (China Scope)
6. Joint‑Venture Governance & Stakeholder Leadership
7. Organization, Talent, and Ways of Working
8. SGM Enterprise Leadership – Supports
9. Leadership Competencies
At General Motors, our product teams are redefining mobility. Through a human-centered design process, we create vehicles and experiences that are designed not just to be seen, but to be felt. We’re turning today’s impossible into tomorrow’s standard —from breakthrough hardware and battery systems to intuitive design, intelligent software, and next-generation safety and entertainment features. Every day, our products move millions of people as we aim to make driving safer, smarter, and more connected, shaping the future of transportation on a global scale.
We are looking for a Principal Technical Lead Manager (TLM) to lead the Trajectory Generation team within the Embodied AI organization. This role combines deep technical leadership in machine learning and robotics with people leadership and organizational impact. Trajectory generation is one of the most critical components of an autonomous driving system. It is responsible for producing the precise vehicle motion plans that determine how the car moves through the world — lane changes, merges, turns, yielding, obstacle avoidance, and complex interactions with other road users. Every decision ultimately manifests as a trajectory executed by the vehicle.
As the leader of this team, you will shape the algorithms and ML systems that translate sensor inputs into safe, smooth, and human-like driving behavior across diverse real-world scenarios. You will lead a high-performing team of engineers building ML-driven trajectory generation systems, and drive the roadmap that takes these models from research to production deployment on vehicles. This role requires someone who can set technical direction, mentor senior engineers, and lead large cross-functional initiatives, while remaining deeply involved in the technical architecture and modeling strategies.
What You'll Do:
Define and drive the technical vision and architecture for trajectory generation systems used in autonomous driving.
Lead the development of ML-based trajectory generation models capable of handling complex and dynamic driving environments.
Architect scalable training pipelines using large-scale driving datasets and simulation environments.
Guide the integration of trajectory generation models into real-time onboard systems with strict latency and safety requirements.
Influence the design of next-generation embodied AI architectures for driving.
Mentor senior engineers and help develop the next generation of technical leaders.
Raise the bar for engineering excellence, modeling rigor, and production-quality systems.
Foster a culture of innovation, ownership, and collaborative problem solving.
Lead complex technical initiatives spanning multiple teams across the autonomous driving stack.
Collaborate closely with teams working on: data, perception, simulation, safety validation, onboard systems.
Define roadmaps and priorities aligned with product milestones and safety goals.
Drive solutions from research prototypes through production deployment.
Your Skills & Abilities:
MS or PhD in Computer Science, Robotics, Machine Learning, or related field.
Experience leading technical teams delivering production ML systems.
Deep expertise in one or more areas: robotics planning and control, imitation learning or reinforcement learning, generative models, large-scale machine learning systems
Strong software engineering skills (Python, C++, or similar).
Experience deploying ML models into real-world or safety-critical environments.
Demonstrated ability to define architecture and drive large technical initiatives across teams.
Preferred Qualifications
Experience with autonomous driving, robotics, or embodied AI systems.
Background in trajectory planning, motion planning, or behavior modeling.
Experience with large-scale training infrastructure and distributed ML pipelines.
Experience with simulation-based training or evaluation of driving policies.
Remote/Hybrid: This role is based remotely but if you live within a 50-mile radius of Austin, Detroit, Warren, Milford or Mountain View, you are expected to report to that location three times per week, at minimum.
Compensation: The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of the California Bay Area.
Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.
Relocation: This job may be eligible for relocation benefits.
Company Vehicle: Upon successful completion of a motor vehicle report review, you will be eligible to participate in a company vehicle evaluation program, through which you will be assigned a General Motors vehicle to drive and evaluate. Note: program participants are required to purchase/lease a qualifying GM vehicle every four years unless one of a limited number of exceptions applies.
#LI-CX1
#GM-AV-1
As a Senior Global Sourcing Manager, you will be responsible for sourcing Technology purchases (Software, Software as a Service, Infrastructure) on a regional and global basis. You will be responsible for developing, negotiating and implementing sourcing strategies by working with key stakeholders on technology requirements, IT, security and legal, which then requires preparing and completing sourcing recommendations to various levels of management.
What You’ll Do
Skills & Abilities (Required Qualifications)
What Can Give You a Competitive Edge (Preferred Qualifications)
This role is categorized as on-site. The successful candidate is expected to report to the Advanced Technical Center full time.
The Role -
The Design Visualization Supervisor leads the strategy, team, and execution of visualization and immersive technology solutions that support vehicle design development, reviews, storytelling, and decision-making. This role oversees rendering, animation, real-time visualization, VR/MR/HMD applications, and related digital experiences, ensuring high-quality delivery aligned with program timing and business priorities.
What You’ll Do
Your Skills & Abilities (Required Qualifications)
Hybrid:
This role is categorized as hybrid. This means the successful candidate is expected to report to their primary location (Warren, MI) three times per week, at minimum, or other frequency dictated by the business.
Our Mission:
At General Motors, our product teams are redefining mobility. Through a human-centered design process, we create vehicles and experiences that are designed not just to be seen, but to be felt. We’re turning today’s impossible into tomorrow’s standard —from breakthrough hardware and battery systems to intuitive design, intelligent software, and next-generation safety and entertainment features.
Every day, our products move millions of people as we aim to make driving safer, smarter, and more connected, shaping the future of transportation on a global scale.
About The Role:
We are seeking a highly motivated individual contributor with demonstrated experience as a Design Release Engineer for vehicle antenna systems, including sharkfin antennas, amplifiers, and antenna elements. This role is responsible for leading the design, development, validation, and release of antenna hardware for GM vehicle programs from concept through launch and field support.
The ideal candidate brings strong technical breadth across antenna products and vehicle integration, paired with creative problem solving, sound engineering judgment, and the ability to work independently in a fast-paced environment. This engineer will work cross-functionally with internal engineering teams, suppliers, and program stakeholders to deliver robust, compliant, and manufacturable antenna solutions that meet performance, timing, cost, and quality targets.
What You’ll Do:
Your Skills & Abilities (Required Qualifications):
What Will Give You A Competitive Edge (Preferred Skills):
Benefits:
GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.
Relocation:
This job may be eligible for relocation benefits.
The selected candidate will be required to travel <25% for this role.
We are looking for a Senior Electrical Hardware Engineer - Displays to drive the design and development of GM's next-generation display systems. This role combines hands-on electrical engineering, supplier collaboration, and cross-functional leadership to deliver robust LCD and OLED display products that meet customer, regulatory, validation, and manufacturing requirements. The ideal candidate brings strong technical fundamentals, ownership, and a passion for turning innovative concepts into production-ready solutions.
Own the electrical hardware design for in-house display modules from concept through validation and release, including architecture definition, circuit design direction, and technical decision-making for multiple display variants.
Develop and review schematics, BOMs, PCB layouts, and related design documentation, and ensure that the design content is aligned with GM requirements and milestone timing.
Drive hardware design reviews and major technical reviews with internal stakeholders and suppliers, including EMC, high-speed interface, power sequencing, signal integrity, and power integrity reviews.
Perform or direct design analysis such as worst-case analysis, tolerance studies, startup and sequencing analysis, thermal review, and circuit compliance checks to confirm that the design meets all electrical and functional requirements.
Define and validate power architecture and power mode behavior, including low-voltage/cranking behavior, reset strategy, wake-up logic, parasitic current, and protection for reverse battery, jump start, shorts, and open circuits.
Lead the design and integration of display electrical interfaces such as SERDES/deserializer links, eDP/OLDI/LVDS-class video paths, touch controller interfaces, MCU interfaces, or auxiliary I/O content where applicable.
Partner with software, systems, mechanical, validation, quality, and supplier teams to resolve cross-functional integration issues, debug root causes, and deliver robust module performance at the component and vehicle levels.
Support component selection and sourcing strategy for key semiconductors and display-related hardware, with attention to approved part lists, resiliency, supplier capability, and cost/performance trade-offs.
Ensure the design is ready for DV/PV validation, including ADVP&R alignment, test planning, diagnostic coverage, failure detection strategy, and compliance with GM and regulatory requirements.
Create and maintain technical artifacts such as DFMEA, open issue tracking, interface definitions, design reports, lessons learned, and release-ready engineering documentation.
Bachelor’s degree in Electrical Engineering or a related engineering field.
10+ years of proven experience in automotive display electronics or adjacent embedded hardware, with ownership of module or subsystem design from concept through validation.
Strong background in hardware architecture, schematic design, PCB development, and design analysis for embedded electronic modules.
Experience leading or supporting DFMEA, worst-case analysis, signal integrity, EMC, and technical design reviews.
Ability to work effectively with suppliers and cross-functional teams to define interfaces, review designs, solve issues, and drive technical decisions to closure.
Familiarity with validation, environmental, durability, and regulatory requirements for automotive electronic components and displays.
Experience using Mentor Graphics tools for schematic capture, design review, and PCB development workflows.
Experience with EMC-conscious design practices and hands-on support for EMC testing, debugging, and issue resolution.
Compensation: The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position, as well as geography of the selected candidate.
• The salary range for this role is (125,200 - 163,400 ). The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.
• Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.
Benefits:
• Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.
#LI-JK3
]]>General Motors is undergoing a major transformation, both in how we operate and in how we will influence the future of transportation. Our Software Services team is at the forefront of this work, emboldening our culture by seeking out determined, innovative individuals who will join our team to help move us forward and achieve our mission.
We are seeking a highly skilled and experienced Senior Software Engineer specializing in OneStream Development to join our dynamic IT team. As a Senior Software Developer, you will be responsible for designing, developing, and maintaining OneStream applications and solutions. You will collaborate with cross-functional teams to analyze business requirements, design technical solutions, and ensure the successful implementation of our multi-year OneStream projects. The ideal candidate will possess deep technical expertise in OneStream and other enterprise planning technologies, demonstrate a proven track record of successful enterprise performance management and planning project implementations, exhibit strong problem-solving abilities, and have a passion for delivering high-quality software solutions.
What You’ll Do
· Design and Development: Lead the design, development, testing, and deployment of OneStream solutions, including enhancements, customizations, and integrations.
· System Implementation: Participate in the full lifecycle of OneStream projects, from requirement gathering and analysis to go-live and post-implementation support.
· Technical Leadership: Provide technical guidance and mentorship to junior developers, ensuring adherence to best practices and coding standards and fostering a culture of continuous learning and growth. Conduct code reviews to ensure adherence to coding standards, best practices, and performance optimization.
· Collaboration: Work closely with functional teams, project managers, and other stakeholders to understand business needs and translate them into technical solutions.
· Methodology: Collaborate with the team to deliver quality solutions, drive business adoption, and provide standard implementation methodologies.
· Documentation: Develop and maintain technical documentation, including design specifications, test plans, and user manuals.
· Support and Maintenance: Provide ongoing support and maintenance for OneStream systems, including troubleshooting and issue resolution.
Your Skills & Abilities (Required Qualifications)
· Education: Bachelor’s degree in STEM or a related field.
· 10+ years of overall experience in planning development.
· Extensive knowledge of finance planning and consolidation processes.
· Minimum 2 years of experience in OneStream application development.
· Experience with enterprise planning and EPM technologies such as Oracle, Hyperion, EPM, Hyperion Planning, PBCS, EPBCS, and Essbase will also be considered.
· Proficiency in OneStream programming, C#, VB.NET, and VBA.
· Experience in finance data warehouse analytics.
· Knowledge of SAP, GitHub, Azure Databricks, and Power BI.
· Ability to develop globally compatible, reusable, and flexible technical frameworks and architecture.
What Will Give You a Competitive Edge
· Experience across both OneStream and other enterprise performance management platforms such as Oracle Hyperion, EPM, Hyperion Planning, PBCS, EPBCS, and Essbase.
· Excellent problem-solving and analytical skills.
· Strong communication and interpersonal skills.
· Ability to work independently and as part of a team.
· Demonstrated ability to lead and mentor junior developers.
· Holds oneself and others accountable for demonstrating GM’s values and cultural behaviors, models GM behaviors, and creates a winning culture.
· Capable of delivering high-quality solutions within a dynamic environment and challenging timelines.
Who You Are
· Curious, resourceful, and not afraid to get your hands dirty.
· Comfortable switching between technical development, support, and cross-functional collaboration.
· A team player who communicates well and enjoys building impactful solutions.
]]>As an Applied ML Validation Manager on the Software Validation team within the AV organization, you will lead a team focused on building and operating behavior critics and human benchmarking capabilities for ML-driven autonomy systems. Your team will turn subjective human expectations about safe, comfortable, and intuitive driving into rigorous, scalable evaluation frameworks that directly inform model development and release decisions.
You will partner closely with autonomy, simulation, safety, and product teams to define how behavior is judged against human drivers and integrate behavior critic signals into validation pipelines, continuous release, and long-term performance monitoring.
About the Organization
The Autonomous Vehicle (AV) organization is dedicated to advancing the development of autonomous vehicles through cutting-edge simulation technologies and novel iterative development processes.
The Software Validation team focuses on unlocking software launches and continuous release decisions via simulation-led verification and validation strategies, prototypes, and protocols. Our collaborative environment fosters innovation and excellence, allowing us to push the boundaries of what is possible in autonomous vehicle testing.
Lead and grow an Applied ML validation team focused on behavior evaluation and human benchmarking for autonomy ML systems.
Define the strategy and roadmap for evaluating ML behavior against human-like driving expectations across simulation, replay, and on-road environments.
Design, implement, and operate behavior critic frameworks that assess model actions and trajectories, turning qualitative human feedback into structured labels, metrics, and scorecards.
Develop and scale human benchmarking programs , including rater guidelines, calibration, and quality controls, to compare ML system performance against expert and typical human drivers.
Partner closely with autonomy, simulation, safety, and product teams to integrate behavior critic and human benchmarking outputs into training, offline validation, release gating, and reporting.
8+ years of experience and MS/PhD in Computer Science, Machine Learning, Robotics, Software Engineering, Data Science , or a related field.
2+ years of people management experience leading engineering, validation, or applied ML teams.
Strong programming and data skills in Python and common analysis/ML tooling (e.g., PyTorch).
Demonstrated experience designing and operating evaluation/validation pipelines for complex ML systems.
Proven ability to define, implement, and track metrics that capture system quality, reliability, safety, or user experience.
Experience with autonomous driving, robotics, or other safety-critical domains , especially in validation, safety, or systems engineering roles.
Demonstrated background with simulation-based validation, including VLM critics , human benchmarking, and scalable evaluation for ML or autonomy systems.
Hands-on experience with agentic workflows used to accelerate analyses, automate documentation, or orchestrate complex data and metric pipelines.
Track record of building or scaling technical teams and tooling in fast-evolving domains, especially focused on evaluation, automation, and ML observability .
Compensation: The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of New York, Colorado, California, or Washington.
· The salary range for this role: is $218,000 to $335,000. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.
· Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.
· Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more
In this role, the Cybersecurity Awareness Program Lead will help build and deliver critical awareness and enablement programs that enable employees and leaders across GM make better day-to-day security decisions. The role will be especially focused on phishing simulation program execution, international security leader enablement, awareness campaign delivery, and role-based education execution.
What You'll Do
Own the execution and continuous improvement of GM's global phishing simulation program in partnership with regional engagement, risk, and awareness stakeholders; manage campaign cadence, targeting inputs, communications, metrics and follow-up education.
Lead the international security leader enablement program by creating reusable toolkits, briefings, messaging guidance, and operating rhythms that help security leaders reinforce secure behaviors consistently across regions.
Plan and deliver cybersecurity awareness campaigns and experiences, including awareness events, in-office activations, and timely microlearning aligned to current threats and business needs.
Partner with teammates and subject matter experts to expand role-based cybersecurity training for priority employee groups, business functions, and risk areas.
Translate threat trends, phishing results, and engagement data into targeted awareness and enablement actions that improve employee understanding and reduce human risk.
Track and report program effectiveness through metrics such as campaign outcomes, completion trends, reporting behaviors, and engagement results; recommend practical improvements based on what the data shows.
Support cross-functional coordination with Communications, GRC, Threat Intelligence, and regional security partners to keep awareness content timely, practical, and relevant.
Contribute to the development and delivery of an AI focused Application Security program that is aligned with GM’s security priorities.
Success in the Role
Phishing simulation campaigns are executed consistently and paired with clear, targeted follow-up education.
International security leaders have practical materials and a predictable cadence they can use to reinforce cybersecurity expectations in their markets.
Awareness campaigns and role-based education are better aligned to current threats, priority risks, and employee needs.
Program reporting clearly shows what is working, where behavior is improving, and where additional intervention is needed.
Your Skills & Abilities (Required Qualifications)
Bachelor's degree or equivalent practical experience.
5+ years of experience in cybersecurity awareness, security communications, learning and development, human risk, change management, or a closely related field.
Experience owning recurring awareness campaigns, phishing simulation programs, or comparable behavior-change programs in a large, matrixed organization.
Experience developing training, enablement, or communications materials for multiple audiences, including leaders and employees.
Strong program management skills, including the ability to manage timelines, deliverables, stakeholders, and metrics across several concurrent workstreams.
Strong written and verbal communication skills, with the ability to turn cybersecurity concepts into clear, practical guidance.
Demonstrated ability to use metrics and feedback to refine programs and improve outcomes.
Ability to work independently on defined workstreams while collaborating closely with teammates and cross-functional partners.
What Will Give You a Competitive Edge (Preferred Qualifications)
Experience supporting international or regional security awareness programs.
Experience with phishing simulation, adaptive learning, or security awareness platforms.
Experience partnering with cyber threat intelligence, cyber defense, GRC, HR, or corporate communications teams.
Experience building leader toolkits, facilitator guides, playbooks, or manager-ready enablement materials.
Familiarity with NIST CSF awareness and training concepts and modern human risk management practices.
Experience supporting role-based cybersecurity education for technical and non-technical employee groups.
Experience using AI tools to create content, plan campaigns, and delivery metrics.
#LI-SB3
]]>This team helps uncover exploitable weaknesses, verify how well controls are performing, and provide actionable insights that improve remediation and prevention. This role is ideal for a leader who can grow a high-performing team, turn strategy into execution, and raise the security bar across a complex engineering environment.
The Role
As Manager, Offensive Security, you will lead a distinct Cybersecurity function responsible for validating how well our products, platforms, and engineering controls stand up to real-world attacks. You will set direction for offensive security programs, translate enterprise priorities into team goals, and make operational decisions about talent, capacity, tooling, and delivery. You will partner closely with engineering, product, infrastructure, and Cybersecurity leaders to prioritize risk, improve remediation outcomes, and strengthen preventative controls. You will help shape scalable testing approaches that balance speed, depth, and business impact. This is a high-impact leadership role for someone who can build talent, influence across organizations, and lead change through measurable outcomes.
What You’ll Do
Your Skills & Abilities (Required Qualifications)
What Will Give You A Competitive Edge (Preferred Qualifications)
We are seeking a Software Engineering Manager to lead development of core Platform OS and driver software that enables reliable, scalable, and high-performance compute platforms. This role is responsible for building and leading a strong engineering team across platform operating system software, board support packages, hardware abstraction layers, and device drivers.
The ideal candidate brings a strong technical foundation in embedded systems and low-level software, along with proven people leadership. They will drive execution across platform bring-up, software integration, performance, stability, and cross-functional delivery while partnering closely with hardware, systems, validation, product, and program teams.
This is an L8 Software Engineering Manager role supporting a location-flexible hybrid work model.
As the Software Engineering Manager for Platform OS and Drivers, you will lead a team responsible for foundational software that powers next-generation vehicle compute platforms. You will balance technical direction, delivery execution, and people leadership to ensure the team delivers robust platform capabilities that downstream product and feature teams can depend on.
You will work across the full platform lifecycle, including architecture, bring-up, integration, debugging, optimization, quality, and long-term maintainability. Success in this role requires strong systems thinking, clear prioritization, and the ability to align teams across hardware and software boundaries.
Lead and grow a team of software engineers working across Platform OS, BSP, kernel-level software, hardware abstraction layers, and device drivers
Set technical direction and execution priorities for low-level platform software development
Drive platform bring-up activities for new hardware and software releases
Oversee development, integration, and maintenance of drivers for key compute, storage, networking, sensor, and peripheral interfaces
Partner with hardware, silicon, systems, middleware, validation, and program teams to deliver stable platform capabilities on schedule
Establish engineering processes for design reviews, code quality, debugging, root cause analysis, test coverage, and release readiness
Remove roadblocks for the team and manage tradeoffs across schedule, scope, technical risk, and quality
Support architecture decisions that improve portability, scalability, diagnosability, security, and long-term maintainability
Mentor engineers and technical leads, build succession plans, and create a high-performance team culture focused on ownership and continuous improvement
Track program execution through milestones, risks, dependencies, and measurable outcomes
Drive issue resolution for complex system problems spanning software, hardware, integration, and performance
Collaborate with recruiting and leadership to build the organization and attract strong embedded and platform engineering talent
Bachelor’s degree in Computer Engineering, Computer Science, Electrical Engineering, or work equivalent experience.
8+ years of experience in embedded software, systems software, platform software, or low-level Linux development
2+ years of engineering management or technical team leadership experience
Strong experience with embedded C and C++
Strong understanding of operating systems, kernel concepts, multithreading, memory management, device drivers, and hardware-software interfaces
Experience with Linux, embedded Linux, RTOS, or similar platform environments
Experience with board bring-up, BSP development, driver integration, and system-level debugging
Experience leading cross-functional engineering efforts across hardware and software teams
Strong debugging and root cause analysis skills across complex distributed or embedded systems
Excellent communication, execution, and people leadership skills
Bachelors degree in a relevant engineering discipline
Experience with automotive, ADAS, autonomy, robotics, or safety-critical embedded systems. or work equivalent experience
Experience with ARM-based SoCs, boot flows, secure boot, power management, and performance optimization
Familiarity with kernel instrumentation, tracing, profiling, and observability tools
Experience with CI/CD, automated test infrastructure, and release management for platform software
Experience leading globally distributed teams
Familiarity with functional safety, cybersecurity, and production-quality software development practices
You can operate effectively at both technical depth and organizational leadership altitude
You know how to build strong teams while maintaining a high bar for engineering quality
You are comfortable making decisions with incomplete information and driving alignment across multiple stakeholders
You translate complex platform challenges into clear priorities, execution plans, and business outcomes
You bring urgency, ownership, and a continuous improvement mindset to platform development
This is an opportunity to shape the foundational platform software stack that enables scalable vehicle and compute capabilities. You will lead a team working on critical technology at the intersection of operating systems, hardware enablement, and product delivery, with meaningful impact across the broader software platform.
Compensation: The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of New York, Colorado, California, or Washington.
The salary range for this role: is $160,200- $246,300. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.
Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.
Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.
Company Vehicle: Upon successful completion of a motor vehicle report review, you will be eligible to participate in a company vehicle evaluation program, through which you will be assigned a General Motors vehicle to drive and evaluate. Note: program participants are required to purchase/lease a qualifying GM vehicle every four years unless one of a limited number of exceptions applies.
]]>If you are a current employee of General Motors working in a per diem, hourly, or regular salaried role, you must apply through the internal careers page. Please navigate to https://workday.gm.com and search for GM Find Jobs.
The General Motors Manufacturing Group is seeking to identify highly motivated and qualified individuals for current and potential future opportunities as a Group Leader. In anticipation of these openings becoming available, we welcome you to apply so we can begin the pre-screening and interview process.
The Role:
As a Group Leader in Production, Quality, or Global Supply Chain (GSC), you will be responsible for leading teams of employees or technical personnel to drive operational excellence across manufacturing processes. This includes managing daily operations, developing and improving business processes, and fostering a culture of teamwork and collaboration.
In this role, you may oversee production activities, quality assurance, inspection, problem-solving, and GM Built-in-Quality initiatives. You will be expected to apply independent judgment within the framework of Global Manufacturing Systems, with a strong focus on Safety, People, Quality, Responsiveness, Cost, and Environment (SPQRCE).
What You'll Do (Responsibilities):
Production & Operational Management
Analyze and adjust daily manufacturing plans; manage manpower allocation and respond promptly to issues to maintain production flow.
Manage multiple tasks in a fast-paced environment, navigate ambiguity, and drive accountability through people and processes.
Continuous Improvement & Lean Practices
Improve business results using Lean Manufacturing; identify and eliminate waste for Safety, Quality, Throughput, and Cost.
Develop and maintain Throughput Improvement Process action sheets; lead corrective and preventive actions.
Quality & Compliance
Enforce quality processes with customer safety at the center; perform critical confirmations and ensure compliance requirements.
Drive quality through effective feedback/feedforward communication and resolve discrepancies promptly.
Leadership & Team Development
Coach and mentor team members and Team Leaders to foster skill development and adherence to standard work practices.
Conduct disciplinary interviews, manage grievances, and collaborate with union partners effectively.
Data-Driven Decision Making
Locate and analyze operational data to support accountability and continuous improvement initiatives.
Specific physical requirements of the position include the ability to:
Work in a loud manufacturing environment that may not be climate controlled (conditions can be hot or cold)
Possess good physical stamina and coordination to frequently and repetitively:
Bend, twist, kneel, crouch and reach to perform work
Lift or carry materials weighing up to 15 lbs. and periodically carry or lift materials weighing up to 40 lbs.
Walk and stand for prolonged periods of time
Occasionally sit, climb (including ladders and lifts) and drive vehicles and equipment
Your Skills and Abilities (Required Qualifications):
One year of direct supervisory experience or at least 5 months as an internal GM per diem group leader
Experience managing, leading people, and addressing performance concerns
Experience solving complex problems and working in a fast-paced environment
Strong interpersonal skills, experience managing conflict, and decision making
Demonstrate a high analytical ability to solve complex problems
Basic computer proficiency (i.e. Microsoft Word, typing, email etc.)
Must be willing to work weekends and rotating shifts
18 years of age or older
High School Diploma or equivalent
What Can Give You a Competitive Edge (Preferred Qualifications):
Knowledge of Continuous Improvement Processes (CIP)
Proficient in Throughput Improvement Process (TIP)
Advanced understanding of manufacturing and assembly processes
Experience supervising employees in a union environment
Supply Chain or Quality Experience
Experience implementing Built-in-Quality Initiatives
Red X & DFSS Certification
Lean Manufacturing experience
Knowledge of timekeeping systems
Every day, our products move millions of people as we aim to make driving safer, smarter, and more connected, shaping the future of transportation on a global scale.
As a Senior Machine Learning Engineer on the State Estimation and Mapping (SEAM) organization, you will develop and improve the ML perception model that powers the secondary (fallback) autonomy stack for Super Cruise 3. You will focus on building robust perception from multi‑modal camera, lidar, and radar data so the vehicle can safely bring itself to a stop when the primary autonomy stack is unavailable.
You will lead the design, implementation, and continuous improvement of ML models for object detection, segmentation, tracking, and prediction, working closely with partner teams across perception, planning, controls, and safety.
What You'll Do
Design, train, and evaluate ML perception models for object detection, semantic/instance segmentation, tracking, and short‑horizon prediction using multi‑modal camera, lidar, and radar data.
Develop and maintain the secondary stack perception model that enables the fallback autonomy system to safely bring the vehicle to a minimal risk condition when the primary system experiences a fault.
Define clear ML success metrics (e.g., precision/recall, latency, robustness under edge cases) and drive systematic experimentation to improve model performance against those metrics.
Analyze large‑scale datasets, curate challenging scenarios, and build data selection and labeling strategies that improve robustness for long‑tail and degraded‑sensor conditions.
Implement efficient training and inference pipelines, including model optimization techniques (e.g., pruning, quantization, distillation) to meet on‑vehicle compute and latency budgets.
Collaborate with software and infra engineers to integrate models into production systems, including interfaces, configuration, deployment, monitoring, and regression safeguards.
Partner with Safety, Systems Engineering, and Product to translate system requirements into concrete ML model requirements, metrics, and validation criteria.
Contribute to verification and validation strategies for the fallback perception model, including offline evaluation, simulation, hardware‑in‑the‑loop, and on‑road testing.
Participate in code reviews, promote ML and software engineering best practices, and provide technical mentorship to other engineers.
Qualifications
BS, MS, or PhD in Machine Learning, Robotics, Computer Science, or a related technical field; or equivalent practical experience building ML perception systems.
3–5 years of experience developing ML solutions in perception, prediction, and/or autonomous driving or related domains.
Strong experience with multi‑modal sensor data (camera, lidar, radar), including data preprocessing, synchronization, and fusion.
Deep expertise in modern deep learning for perception, such as convolutional and transformer‑based architectures for:
2D/3D object detection
Semantic and instance segmentation
Multi‑object tracking and motion prediction
Proficiency in at least one major ML framework (e.g., PyTorch, TensorFlow, JAX) and Python for model development, training, and analysis.
Solid software engineering skills, including experience working in C++ or similar languages in large, collaborative codebases.
Demonstrated ability to define ML metrics, design experiments, and systematically improve model performance and robustness.
Strong problem‑solving, communication, and cross‑functional collaboration skills.
Self‑motivated, with a passion for autonomous driving technology and its potential impact on safety and mobility.
Nice to have
Experience deploying ML models on embedded or resource‑constrained platforms, including model optimization and performance tuning for real‑time inference.
Experience with AV/ADAS perception stacks, robotics, or ROS.
Familiarity with safety‑critical systems and development practices.
Experience with large‑scale data pipelines, labeling workflows, and experiment management for ML.
Remote: This role is based remotely but if you live within a 50-mile radius of Atlanta, Austin, Detroit, Warren, Milford or Mountain View, you are expected to report to that location three times per week, at minimum.
Compensation : The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of the California Bay Area.
The salary range for this role is $170,600.00 to $261,300.00. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.
Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.
Benefits:
Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.
This job may be eligible for relocation benefits.
#GM-AV-1
]]>The Finance Data and Insights team in the Business Applications (Finance, Legal & SAP Engineering – FLSE) organization is responsible for empowering Finance and Legal teams by delivering reliable and secure AI-driven tools that streamline workflows, accelerate decision making, surface actionable insights, and unlock measurable productivity gains across the product lifecycle.
As a Systems Engineer , you will be responsible for developing data intensive and AI-enabled data solutions and tools that support the Finance team. You will work with complex data requirements and deliver solutions using industry standard practices across SQL, Databricks and Python. You will design and build software and data solutions based on detailed requirements and system specifications, with a strong focus on data quality, performance, and reliability.
You will help define patterns and best practices for SQL, Databricks (DBX), and AI/ML integrations within Business Applications and play a key role in ongoing modernization and cloud initiatives. You will also develop agents and solutions using Glean and Genie, driving transformation in ways of working through agents and automated workflows.
Hybrid: This role is cate go rized as hybrid. This means the successful candidate is expected to report to Austin, TX three times per week.
Job Summary
We are seeking a highly skilled and experienced Sr Software Engineer to join our team at General Motors LLC. In this role, you will independently drive the design, development, and delivery of robust, modern software solutions within a scaled agile environment. You will leverage your expertise in software development, data architecture, automation, AI enablement, and platform modernization to solve complex problems, influence cross-functional outcomes, and deliver high-impact, scalable solutions aligned with business priorities.
Your Skills & Abilities (Required Qualifications)
GM does not provide immigration-related sponsorship for this role. Do not apply for this role if you will need GM immigration sponsorship now or in the future. This includes direct company sponsorship, entry of GM as the immigration employer of record on a go vernment form, and any work authorization requiring a written submission or other immigration support from the company (e.g., H1-B, OPT, STEM OPT, CPT, TN, J-1, etc.)
#LI-KB1
]]>The Role
General Motors has needs for qualified Industrial Electrician Journeypersons. Working under minimal supervision, the skilled trades Electrician Journeyperson is responsible for layout, installation, repair and preventative maintenance of complicated electrical equipment and circuits, troubleshooting and technical expertise on control systems.
Primary Responsibilities:
Follow established safety procedures according to OSHA standards and company procedures
Responsible for the maintenance and repair of electrical equipment
Analyze and troubleshoot electrical malfunctions in equipment and related components, diagnosing and correcting the problems quickly to avoid production delays
Perform electrical preventative and corrective maintenance on all plant equipment
Promote teamwork and show a willingness to work with other departments
Participate in continuous improvement activities
Read and interpret drawings and wiring schematics
Demonstrate strong problem-solving skills
Interested individuals must meet the following minimum qualifications:
At least six (6) years of related experience as an Electrician or a U.S. Department of Labor Certificate of Completion in the Electrical trade.
Must be able to satisfactorily complete the General Motors hiring process requirements which includes comprehensive assessments, drug testing, and a background check
At least 18 years of age
Eligible to work in the United States
Must be willing to work flexible shift hours and day, afternoon, or night shift as well as overtime hours daily, weekends and holidays on those shifts with little notice
GM DOES NOT PROVIDE IMMIGRATION-RELATED SPONSORSHIP FOR THIS ROLE. DO NOT APPLY FOR THIS ROLE IF YOU NEED OR WILL NEED GM IMMIGRATION SPONSORSHIP TO WORK OR TO REMAIN EMPLOYED AT GM (e.g., H-1B, TN, STEM OPT, etc.).
If you are a current GM employee operating under a collective bargaining agreement, please contact your local HR/LR for employee placement opportunities.
This position may be filled with a Journeyperson or Journeyperson In Training, the compensation ranges for a JIT include ($37.78 - $44.08) or Journeyperson rate of $44.98. Certificates/credentials and scoring in interview will determine your status and pay.
Physical Requirements
Quick response to safety instructions, alarms, and signals are a must
Ability to work and stand for extended periods
Comfortably wear personal protective equipment
Navigate a busy environment
Bend, twist, kneel, crouch, and reach
May need to lift or carry materials weighing up to 50 lbs. depending on department
Occasional sitting during certain tasks
Drive mobile equipment when needed
General Motors UAW hourly employment offers a very competitive compensation and benefit package. An annual incentive payout is also available, as qualified.
Relocation and travel expenses will be the responsibility of the applicant.
Please note – per the labor agreement between GM and the UAW, GM may share information and documentation relating to the credentials of applicants for this position (e.g., resumes, journeyperson cards, interview notes, certificates, etc.) with UAW personnel who have a need to know as part of their role on the UAW skilled trades team.
The Global Design and R&D IT team supports the design and research & development of every GM production and concept vehicle, from early innovation through production design. We are seeking a highly motivated Staff Systems Analyst to partner with business stakeholders, product teams, and technology partners to deliver innovative digital solutions that enable the future of vehicle design, engineering, and research. In this strategic role, you will serve as a liaison between business and technology teams, translating complex needs into scalable solutions while driving continuous improvement, innovation, and operational excellence across a diverse portfolio of applications, platforms, and emerging technologies supporting Global Design, visualization, digital development, engineering, and R&D initiatives.
Partner with business stakeholders to understand strategic objectives, operational challenges, and technology needs.
Lead discovery sessions, requirements gathering, process analysis, and solution definition activities.
Translate business requirements into functional specifications, user stories, workflows, and technology roadmaps.
Collaborate with software engineering, product management, architecture, infrastructure, cybersecurity, and vendor teams to deliver business value.
Evaluate and recommend innovative technologies and digital solutions that improve business processes and customer experiences.
Support the full solution lifecycle, including planning, design, testing, implementation, change management, and continuous improvement.
Identify process improvement opportunities and drive simplification, standardization, automation, and modernization initiatives.
Facilitate prioritization discussions and balance competing business demands across multiple projects and product teams.
Analyze business workflows, systems integrations, and data flows to improve efficiency and effectiveness.
Monitor application performance, adoption, service health, and user satisfaction metrics.
Manage relationships with internal stakeholders, suppliers, and cross-functional technology teams.
Ensure solutions align with enterprise architecture, security, compliance, and governance standards.
Provide leadership and mentorship to less experienced analysts and project team members.
Support Agile product delivery practices including backlog management, sprint planning, and release activities.
Drive successful adoption of new capabilities through effective communication, training, and stakeholder engagement.
Bachelor's degree in Computer Science, Information Systems, Engineering, Business, or equivalent experience.
8+ years of experience in business systems analysis, product delivery, digital transformation, software development, or related technology disciplines.
Experience designing and supporting enterprise infrastructure across Windows, Linux, and macOS environments.
Hands-on experience with Microsoft Azure .
Experience supporting and integrating custom/internal applications beyond COTS/SaaS solutions.
Familiarity with modern application stacks, including Angular, React, and Python-based internal applications.
Experience with Docker, K8s, Databricks, Kafka, Quarkus, PostgresSQL, FastAPI .
Experience leading medium to large-scale technology initiatives with cross-functional stakeholders.
Experience gathering, documenting, and translating business requirements into technical solutions.
Strong business process analysis and requirements management capabilities.
Experience with Agile, Scrum, Kanban, or other modern delivery methodologies.
Ability to analyze complex systems, integrations, data flows, and business processes.
Experience working with cloud technologies, SaaS platforms, APIs, or enterprise applications .
Strong understanding of software development lifecycle (SDLC) practices .
Experience facilitating workshops, stakeholder discussions, and solution reviews.
Excellent verbal, written, and presentation communication skills.
Strong problem-solving, critical thinking, and decision-making abilities.
Ability to manage multiple priorities in an ambiguous and fast-paced environment.
Demonstrated ability to influence without direct authority.
Effective change agent capable of leading organizational adoption.
Ability to work effectively with global teams across multiple time zones.
Experience supporting automotive design, engineering, research, simulation, visualization, manufacturing, or product development organizations.
Experience with AI/ML and Databricks .
Jira experience.
Experience serving as a Product Owner, Product Manager, or Business Relationship Manager.
Knowledge of AI/ML-enabled business processes and digital transformation practices.
Experience working with product lifecycle management (PLM) , digital engineering, visualization, CAD/CAM , simulation, or design technology platforms.
Familiarity with cloud platforms such as Microsoft Azure and modern application architectures.
Experience managing strategic technology vendors and supplier relationships.
Experience with portfolio management, roadmap development, and technology investment planning.
Lean, Agile, SAFe, Six Sigma, or project management certifications.
Experience using data analytics and business intelligence tools to support decision making.
The Senior Product Cybersecurity Engineer, Product Security Validation role sits within the broader Product Cybersecurity organization at General Motors and focuses on building and modernizing the platforms, pipelines, and frameworks used to validate cybersecurity for vehicle-related features and architectures. This engineer acts as a platform and tooling owner for validation, reducing validation engineer toil, improving test reliability, and enabling higher quality security outcomes in less time for the broader Product Cybersecurity organization.
What You'll Do
Design and evolve product security validation platforms, pipelines, and test frameworks
Build automated test capabilities that improve reliability and reduce manual validation effort
Develop and maintain scripts, tools, and services to support scalable security validation
Explore and implement AI-driven robustness and fuzz testing approaches for product features
Create and curate high-quality, reusable test cases for cybersecurity-relevant behaviors
Partner with validation engineers and product teams to integrate security tests into existing workflows
Your Skills & Abilities (Required Qualifications)
6+ years of experience in software quality assurance, SDET, or software development roles
Strong experience building or extending automated test frameworks, pipelines, and tooling
Proficiency in at least one programming language and one scripting language used in test automation
Experience working with CI/CD systems to run, track, and report on automated test suites
Familiarity with validating complex systems such as embedded software, mobile apps, or backend services
Able to work closely with engineers and validation teams to improve coverage, reliability, and efficiency
What Will Give You A Competitive Edge (Preferred Qualifications)
Experience in automotive, embedded, or other complex, safety- or mission-critical product environments
Prior work building test platforms or harnesses for security, robustness, or reliability testing
Familiarity with fuzzing, robustness testing, or AI/ML techniques applied to software validation
Experience organizing and maintaining large test suites, test data, and associated tooling
What You'll Bring
A platform engineering mindset focused on building durable capabilities, not one-off tests
Strong focus on reliability, repeatability, and signal quality in validation workflows
The ability to translate validation engineer needs into practical tools and automation
Comfort operating in a multi-language, multi-platform environment across embedded and software systems
A bias toward reducing toil and enabling better security validation outcomes with less time and effort
Every day, our products move millions of people as we aim to make driving safer, smarter, and more connected, shaping the future of transportation on a global scale.
The Role
The advancement of virtual tools has improved the way hardware and software can be optimized in vehicle design. As a Virtual Hardware Model Engineer, you have the unique opportunity to shape GM's future by partnering cross functionally to develop models that unlock our ability to optimize design parameters within hardware components. In this role, you will lead development of select models in collaboration with suppliers, product development engineers, and other systems, software, and virtual teams.
What You’ll Do (Responsibilities)
Develop high-fidelity component plant models in MATLAB/Simulink that mathematically emulate the electrical, mechanical/physics, and software interfaces of GVHE hardware components.
Collaborate cross-functionally (Tech Specialists, DREs, VDDV, SIL, CoSim, suppliers) to understand hardware designs, control strategies, and boundary conditions, and translate them into clear modeling requirements.
Implement plant models in a form suitable for use in GM CoSim environments (e.g., FMU export), ensuring correct I/O definitions, signal naming, and execution behavior.
Use supplier specifications, design data, and physical test/bench/vehicle results to parameterize, correlate, and continuously improve model fidelity.
Support integration of component plant models into larger system and vehicle-level co-simulation environments, working closely with simulation integration and CoSim architecture teams.
Leverage plant models as virtual harness/component testers to confirm performance, run what-if studies, and explore fault and edge-case behavior before hardware is available.
Document modeling assumptions, limitations, calibration parameters, and validation results to enable reuse and traceability across programs.
Lead development and maintenance of model requirements documentation (Appendix C11, C12), ensuring component plant model requirements, test needs, and deliverables are clearly specified and up to date.
Contribute to standard methods, libraries, and best practices for component plant modeling within GVHE, mentoring peers and helping scale the capability across programs
Your Skills and Abilities (Required Qualifications)
Bachelor’s degree in Engineering, Math, Physics, Computer Science, or other relevant degree
Minimum 2 years of experience in product development, systems engineering, or work related to software/hardware connectivity. Preferred experience in translating physical phenomena into mathematical/Simulink models (electrical, mechanical, and software I/O).
Proficiency with Matlab/Simulink or similar software that uses code-based logic for model-based simulation.
Strong communication and collaboration skills
Skilled and proficient with a variety of field’s concepts, practices, and procedures.
Extensive personal experience and discernment to plan and accomplish goals.
Ability to perform multiple tasks. Lead and likely direct the work of others. A wide degree of creativity and latitude is expected.
#LI-KM2
]]>The Role:
We are looking for a Software Engineer to join our team and help us scale our platform for performance, reliability, and usability. You’ll be responsible for building critical backend services, integrating with GPU hardware and orchestration systems, and driving improvements to both system architecture and user experience.
What you’ll do
Your Skills & Abilities (Required Qualifications)
What Will Give You a Competitive Edge (Preferred Qualifications)
Compensation: The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of New York, Colorado, California, or Washington.
The salary range for this role is $119,220 to $187,500. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.
Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.
Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.
Benefits:
Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.
Relocation: This job may be eligible for relocation benefits.
Hybrid: This role is based hybrid from Sunnyvale you are expected to report to that location three times a week, at minimum.
Vacancy Status:
This posting is for an existing vacancy within the organization and is open to new applications.
AI Disclosure:
As part of the application process, Artificial Intelligence will be used in the hiring process for this role
Work Arrangement : Hybrid: This role is categorized as hybrid. This means the successful candidate is expected to report to Markham or Oshawa office three times per week, at minimum.
The Role
We are seeking an Engineering Group Manager (EGM) to lead a technical team of software engineers specializing in virtualization and SIL (Software-in-the-Loop) integration in propulsion thermal systems. This team designs, builds, and deploys virtual test environments at system and vehicle levels to support automotive embedded software and calibration development.
The ideal candidate will thrive in the Propulsion Thermal Management domain supporting software and calibration customers who use the SIL test environment. This role requires strong technical leadership, strategic thinking, and the ability to collaborate globally to deliver state-of-the-art virtual test beds.
What You'll Do (Responsibilities)
Lead and Develop Team
Lead a team of GM employees and/or contract resources (onsite, remote, offshore) responsible for virtual ECU development and integrating virtual assets into a CoSimulation environment.
Mentor and grow team’s capacity and capabilities, support career development, and support performance management
Drive recruitment, staffing, and succession planning.
Technical Leadership & Strategy
Oversee development, release, and deployment of virtual test assets.
Work directly with downstream and upstream stakeholders.
Proactively identify technical risks and implement mitigation strategies.
Define and execute strategies for scalability and innovation in virtualization and SIL integration.
Stay current with industry standards (FMU, SSP, etc.), tools, and best practices.
Develop a good understanding of vehicle propulsion thermal systems to guide the teams’ technical deliverables.
Guide the team on agile development principles, ensuring best practices are followed.
Cross-Functional Collaboration
Partner with global virtualization, systems, and embedded software teams to align on roadmap and deliver turnkey solutions.
Work closely with platform and CI/CD teams to integrate continuous testing using virtual ECUs and CoSimulation packages in cloud environments.
Innovation & Continuous Improvement
Lead development of world-class, scalable cloud-based CoSimulation solutions.
Drive process improvements and take part in transformational initiatives.
Operational Excellence
Ensure high quality milestone releases within schedule and budget.
Review and approve engineering documentation, deliverables, and schedules.
Manage team budgets (travel, training, indirect costs).
Ensure compliance with mandatory training and process improvement initiatives.
Your Skills & Abilities (Required Qualifications)
Bachelor’s degree in Software Engineering, Computer Engineering, Computer Science, or related field (Master’s preferred).
10+ years of hands-on experience in software or tools development.
Familiarity with embedded C, Python and MATLAB/Simulink.
Proven expertise in one or more of the following:
Virtual ECU development and embedded control systems.
Software-centric vehicle/system-level virtualization
Software integration and validation.
Cloud computing architecture and CI/CD best practices.
What Can Give You a Competitive Advantage (Preferred Qualifications)
5+ years of people management experience.
Familiarity with vehicle thermal embedded control systems and associated hardware components is preferred.
Strong technical acumen with ability to lead in the automotive thermal management domain.
Excellent communication, collaboration, and interpersonal skills.
Demonstrated success in team leadership and talent development.
Compensation:
The salary range for this role is $147,000 to $196,600. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.
GM DOES NOT PROVIDE IMMIGRATION-RELATED SPONSORSHIP FOR THIS ROLE. DO NOT APPLY FOR THIS ROLE IF YOU WILL NEED GM IMMIGRATION SPONSORSHIP NOW OR IN THE FUTURE.
Benefits Overview:
The goal of the General Motors of Canada total rewards program is to support the health and well-being of you and your family. Our comprehensive compensation plan currently includes the following benefits, in addition to many others:
Paid time off including vacation days, holidays, and supplemental benefits for pregnancy, parental and adoption leave.
Healthcare, dental, and vision benefits.
Life insurance plans to cover you and your family.
Company and matching contributions to a Defined Contribution Pension plan to help you save for retirement.
GM Vehicle Purchase Plan for you and your family.
The Role:
General Motors is undergoing a major transformation with the shift towards a “zero crashes, zero emission, zero congestion” vision for the future and software-defined vehicles. As a part of this transformation, General Motors is investing significantly in Virtualization and Software-in-the-Loop (SIL) technologies to enable early software quality in the vehicle development process.
We are currently looking for experienced and motivated candidates for the role of Senior Software Engineer Virtualization and SIL Integration Engineer (SIE) to support development of virtual test environments as primary deliverables for the SIL Agile Release Train (ART). This role is part of a group responsible for creating virtual in-the-loop environments to enable development, verification and validation of embedded controllers and calibrations for various conventional and hybrid propulsion system configurations (conventional engines, transmissions, and hybrid electrification systems).
In this role, you will be responsible for delivering high-quality simulation environments at each software development cycle to meet the end-user testing requirements. This position requires an individual with a passion for modeling of embedded and physical systems with in-depth knowledge of systems integration and demonstrated capability for managing a wide variety of technical and customer needs.
What You'll Do (Responsibilities):
Create or utilize existing virtual controller models to integrate be used across different virtual simulations.
Lead the development and integration of SIL co-simulation components to satisfy the end-user testing requirements.
Create and maintain virtual controller models to be used across different simulation domains, including components such as RTOS, HWIO, serial data communication models, etc.
Develop subsystem and component models, such as sensors, actuators, and plant physical behavioral models.
Integrate both virtual controller and subsystem model into a dynamic virtual simulation and test environment.
Create and maintain detailed documents for each release. Provide technical support to end-users for released SIL co-simulations and assist with user testing and troubleshooting.
Work with software and calibration development engineers to understand new feature requirements and ensure proper implementation.
Ensure the co-simulation environments are delivered with high-quality and on-time delivery.
Support deployment of SIL co-simulations for both local release and automation testing on cloud infrastructure.
What You'll Need (Required Qualifications):
Bachelor’s degree in mechanical, electrical, computer science or related discipline.
5+ years of software engineering experience, with at least 3 year of integration experience.
3+ years of experience in virtualization and Software-in-the-Loop (SIL) simulation for propulsion systems.
CoSimulation (CoSim)
Experience with Level 3 ECU development
Proficient in controls software development practices using Embedded C and software build processes using GNU compiler toolchain, GDB debugger, Eclipse or VS Code.
Internal Combustion Engine or Plug in Hybrid Electric (ICE and/or PHEV) vehicle experience.
Proficient in automotive communication technologies such as CAN, LIN, SPI and automotive ethernet.
Familiarity with systems and automation languages such as Windows PowerShell, Linux bash scripting or Python.
Preferred Qualifications:
Master’s degree or Ph.D. in Mechanical, Electrical, Computer Science or related discipline.
2+ years of experience with modeling of electric or hybrid propulsion systems with a focus on torque controls domain, including associated mechatronic subsystems in simulation tools such as Matlab, Simulink, Simscape, GT-POWER, Amesim, CarSim, etc
Experience with Software Defined Vehicles (SDV)
Familiarity with AUTOSAR standards, software-defined vehicles and associated networking technologies along with measurement and calibration toolchains such as ETAS MDA and INCA.
Familiarity with development in both Windows and Linux Operating systems.
Familiarity with CI/CD technologies such as Jenkins, GitHub Actions, Artifactory, or related DevOps technologies.
Familiar with co-simulation standards such as FMI and SSP.
#LI-SW1
This job is not eligible for relocation benefits. Any relocation costs would be the responsibility of the selected candidate
Why Join Us
At GM, you’ll be at the forefront of shaping the future of connected, electric, and autonomous vehicles . You’ll work on cutting-edge antenna systems alongside some of the brightest minds in automotive and RF technology — with the resources to make an impact at scale. We offer competitive compensation, growth opportunities, and a culture that values innovation, inclusion, and forward thinking . This is a unique opportunity to lead, innovate, and help millions of customers around the world stay connected on the move .
Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.
Benefits : GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.
Diversity Information
General Motors is committed to being a workplace that is not only free of discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that workforce diversity creates an environment in which our employees can thrive and develop better products for our customers. We understand and embrace the variety through which people gain experiences whether through professional, personal, educational, or volunteer opportunities.
We encourage interested candidates to review the key responsibilities and qualifications and apply for any positions that match your skills and capabilities.
]]>REQUIREMENTS : Bachelor’s degree in Mechanical Engineering, Electrical Engineering, Automotive Engineering, or related field and Five (5) years of experience as a Design Engineer, Executive Engineer, Graduate Research Assistant, or related role. OR Master’s degree in Mechanical Engineering, Electrical Engineering, Automotive Engineering, or related field, and three (3) years of experience as a Design Engineer, Executive Engineer, Graduate Research Assistant, or related role. Three (3) years of experience with: Optimizing power converter designs, including alternating current (AC) and direct current (DC) converters; Analyzing and integrating power converter requirements, including physical dimensions, thermal properties, coolant requirements, high voltage ripple, and transient performance; System-level Simulation Tools, including Ansys Simplorer, PLECS, Simulink, and PSCAD; and Performing Design Failure Mode and Effect Analysis (DFMEA).
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]]>Responsibilities:
Act as a liaison between purchasing, engineering, warehousing/manufacturing, logistics and suppliers to resolve issues and to provide support
Working cross-functionally with Purchasing, Engineering, Supplier Quality, Containerization, Logistics and GM assembly / manufacturing plants to facilitate critical supply issues and business transfers.
Determine the cause of supplier delivery problems and coordinate/implement effective and timely resolutions
Help assess and assist in the development and implementation of corrective actions for critical issues
Improve delivery performance of suppliers by identifying process improvements and lead time reduction opportunities
Regularly exchange information with others inside and outside the work group including GM and supplier facilities
Work with Supplier Risk Management team with Financially Troubled Suppliers
Support / Lead conference calls with business transfers and critical supply issues
Keep management updated frequently, consistent with the issue’s urgency
Provide Executive reports
Develop the most efficient ways to utilize people, machines, materials, and information at supplier locations
Assist supplier operations to increase productivity
Resolve operational problems
Study and rearrange material flow, and operations sequence
Standardize common floor processes
Designs, redesigns, or enhances work areas and layouts so that awkward or uncomfortable positions, repetitive motions, and inefficient operations are reduced or eliminated
Identifies and assesses various problems and departures from established manufacturing standards and best practices; recommends solutions
Implement methods and modifications to reduce production costs
Your Skills & Abilities (Required Qualifications):
5+ years relevant post-graduate work experience in supply chain, manufacturing, industrial, logistics, supply chain, or purchasing (any internship or co-op experience will not be considered)
Ability to travel spontaneously 70-80% domestically/Internationally at Suppliers
Proficient level of computer skills (e.g. Microsoft Office products, Teamcenter Visualization)
What Will Give You A Competitive Edge (Preferred Qualifications):
Bachelor of Science in Industrial Engineering, Manufacturing Engineering, related field
5+ years of experience in Automotive Manufacturing Operations.
3+ years of experience in die casting or machining operations.
Excellent communication and command skills are necessary to be successful in this position.
Broad understanding of propulsion technologies, including battery, motor, hybrid solutions, BEV, Fuel Cell, ICE engines, automatic transmissions.
Demonstrate excellent level of analytical ability, communication and interpersonal skills required to build relationships with team members and suppliers to solve problems.
Demonstrated ability to manage multiple and significantly complex cases and assignments with high level of autonomy and accountability for results.
The Team:
The CoSim Infrastructure, Quality, and Scalability team, within GM’s Virtualization and SIL Integration organization, builds the foundational software, automation, and integration capabilities that make virtual ECUs and co-simulation environments reliable, reusable, and scalable across vehicle domains.
The team develops and evolves CoSim/SIL infrastructure—including SoftECU and FMI-based capabilities, RestBus and SIMETH connectivity, HWIO and calibration enablement, build and CI/CD pipelines, and automated quality gates—while improving package consistency, test coverage, observability, and defect triage.
Their work enables engineering, calibration, and verification teams to validate embedded-platform software earlier and with greater confidence, supporting daily regression testing as well as complex, multi-variant, multi-domain virtual validation. Within the broader Virtualization and SIL Integration organization, the team collaborates closely with domain teams to deliver high-fidelity virtual environments and advance GM’s software-defined vehicle development process.
The Role:
As a Senior Software Developer , you will build the software that powers GM’s virtual development environments, SIL workflows, and AI‑enhanced simulation capabilities. You bring strengths in automation, embedded systems, and problem‑solving — and this role expands your exposure to cloud, data, ML fundamentals, and large‑scale simulation architecture.
What You’ll Do (Responsibilities):
Your Skills & Abilities (Required Qualifications):
What Will Give You a Competitive Edge (Preferred Qualifications):
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]]>We are seeking a Senior Software Engineering Manager to lead the engineering strategy, delivery, and technical execution of software applications across a diverse portfolio of business-critical platforms, products, integrations, and modernization initiatives.
This is a hands-on engineering leadership role. The successful candidate must bring the same technical depth, engineering judgment, and delivery credibility expected of a Principal Software Engineer, while also leading teams, growing talent, and driving execution across a complex application portfolio. This role is not intended for an architect-only or people-only leader. The right candidate is expected to stay close to the code, lead technical design, perform code reviews, solve complex engineering problems, and coach engineers through direct technical engagement and example.
What You Will Do
What Makes This Role Different
Your Skills and Abilities (Required Qualifications)
What Will Give You a Competitive Edge (Preferred Qualifications)
New Phd Graduate, 1-3 years experience, individual contributor
· U.S. Person Status: This position is subject to export control regulations and requires the candidate to be a U.S. Person (U.S. citizen, U.S. permanent resident, asylee, or refugee).
· Education:
· Experience: 0–3 years of relevant industry or research experience.
· Technical Expertise:
· Professional Skills:
The Senior Electrical Systems Analysis (CAE) Engineer plans, develops, and executes one‑dimensional models of electrical components, subsystems, and full vehicle or product electrical architectures for 12V/48V systems. The role requires deep understanding of system‑ and vehicle‑level electrical behavior and proficiency with industry‑standard simulation tools. You will perform simulations, interpret and present results at key program milestones, and work cross‑functionally to drive robust designs and close analysis capability gaps.
What You'll Do
Your Skills & Abilities (Required Qualifications)
What Will Give You A Competitive Edge (Preferred Qualifications)
#GMD
]]>The AV Logging and Data Recording team within GM’s Autonomous Vehicle Platform Core organization builds the embedded vehicle software that turns real-world driving into high-quality training data for autonomous driving.
Our systems collect the sensor, vehicle, and scenario data that AV teams use to improve perception, prediction, planning, and other artificial intelligence capabilities. We focus on capturing the right data from the fleet, preserving privacy, maintaining data quality, and reliably moving vehicle data into the AI development pipeline.
We build the software that helps autonomous vehicles learn from the real world.
As a Software Engineer on the AV Data Recording team, you will help build embedded vehicle software that enables fleet-scale data collection for artificial intelligence development. Your work will support how GM autonomous vehicles capture meaningful real-world driving data, validate its quality, enforce privacy requirements, and deliver it for model training, evaluation, debugging, and continuous improvement.
You will work on software running on automotive edge platforms and collaborate closely with artificial intelligence, backend, embedded platform, and system development engineering teams to turn real-world driving into high-quality data for autonomous driving development.
This is an early-career / new graduate role designed for candidates who have recently completed, or will complete, their Bachelor’s, Master’s, or PhD degree before joining GM. You will be paired with experienced engineers to ramp up on AV software, embedded systems, real-time operating systems, vehicle data pipelines, and the production engineering practices required to support autonomous driving at fleet scale.
Every day, our products move millions of people as we aim to make driving safer, smarter, and more connected, shaping the future of transportation on a global scale.
The Role
The Manufacturing Systems Integration Engineer serves as the lead General Assembly (GA) integration resource within Advanced Vehicle Development, responsible for defining, communicating, and driving adherence to General Assembly manufacturing strategies across new vehicle programs.
This role leads the integration of manufacturing systems from program inception through post-Contract Sign Off (CSO), ensuring alignment between product design, manufacturing processes, facility strategy, capital investment, automation, and program timing. The successful candidate will solve complex manufacturing challenges, drive cross-functional issue resolution, maintain the Plan for Every Site (PFES), and provide strategic direction that delivers the safest, highest quality, and most cost-effective manufacturing solutions.
The position requires strong technical leadership, manufacturing expertise, and the ability to influence cross-functional stakeholders while supporting key milestones from pre-DSI through Contract Sign Off (CSO).
What You’ll Do
Manufacturing Strategy & Systems Integration
Lead the development, integration, and execution of General Assembly manufacturing systems for new vehicle programs from pre-DSI through CSO.
Develop and communicate program-specific manufacturing strategies that align product, process, timing, and investment objectives.
Lead the development and ongoing maintenance of the Plan for Every Site (PFES).
Evaluate and respond to Manufacturing Planning Studies (MPS) and Manufacturing Studies (MS) with comprehensive, data-driven recommendations.
Establish strategic manufacturing direction and processing concepts for assigned vehicle programs.
Program Leadership & Optimization
Drive manufacturing solutions that balance investment, piece cost, labor, floor space, quality, safety, and launch timing.
Develop lean investment targets and total cost optimization strategies across vehicle architectures.
Evaluate and implement advanced manufacturing technologies, automation, and vision systems where appropriate.
Lead program timing development and establish critical integration milestones to ensure successful execution.
Cross-Functional Collaboration
Coordinate with engineering, manufacturing, automation, controls, paint, processing, execution, installation, and launch teams to ensure aligned program decisions.
Partner with organizations outside General Assembly to develop integrated manufacturing solutions across the vehicle manufacturing system.
Remove organizational barriers and resolve escalated issues impacting program success.
Serve as the primary technical liaison between General Assembly and associated functional organizations.
Problem Solving & Continuous Improvement
Lead root cause investigations for complex manufacturing and integration issues through resolution.
Utilize analytical and systems-thinking approaches to evaluate manufacturing risks and opportunities.
Drive continuous improvement initiatives focused on safety, quality, efficiency, and cost reduction.
Apply creativity, technical expertise, and independent judgment to solve highly complex manufacturing challenges.
Stakeholder Engagement
Present manufacturing strategies, recommendations, risks, and program status to leadership at all levels.
Influence decision-making through clear communication and technical expertise.
Facilitate alignment among cross-functional teams, program leadership, and manufacturing stakeholders.
Your Skills & Abilities (Required Qualifications)
Bachelor's degree
General Assembly manufacturing experience including process development, equipment design, integration, installation, program execution, and vehicle launch.
Experience working within a manufacturing plant environment
Demonstrated expertise in General Assembly manufacturing processes and systems.
Experience leading complex vehicle program integration efforts from development through launch.
Strong understanding of manufacturing systems, automation, tooling, and assembly processes.
Proven ability to lead and influence cross-functional teams and drive issue resolution across multiple organizations.
Exceptional analytical and problem-solving skills, with the ability to solve highly complex and ambiguous challenges.
Strong interpersonal, communication, negotiation, and stakeholder management skills.
Ability to effectively present technical and business recommendations to all leadership levels.
Experience managing multiple high-priority assignments in a fast-paced environment.
Working knowledge of the Global Vehicle Development Process (GVDP), including process deliverables, product milestones, and organizational interfaces.
Ability to travel as required.
What Can Give You a Competitive Edge (Preferred Qualifications)
8+ years of General Assembly manufacturing experience, including process development, equipment design, integration, installation, program execution, and vehicle launch.
Manufacturing launch experience supporting new vehicle programs.
Experience with advanced manufacturing technologies, automation strategies, and vision systems.
Knowledge of vehicle development processes and program integration activities.
Master's degree in Engineering, Manufacturing, Business, or a related discipline.
Demonstrated success influencing cross-functional teams in a complex manufacturing environment.
Experience developing facility, process, and investment strategies for large-scale manufacturing programs.
Consistent demonstration of GM's core behaviors and commitment to a culture of inclusion, accountability, innovation, and continuous improvement.
#LI-MH1
]]>General Motors has needs for qualified Industrial Electrician Journeypersons. Working under minimal supervision, the skilled trades Electrician Journeyperson is responsible for layout, installation, repair and preventative maintenance of complicated electrical equipment and circuits, troubleshooting and technical expertise on control systems.
Primary Responsibilities:
Interested individuals must meet the following minimum qualifications:
Physical Requirements
General Motors UAW hourly employment offers a very competitive compensation and benefit package. An annual incentive payout is also available, as qualified.
Relocation and travel expenses will be the responsibility of the applicant.
Please note – per the labor agreement between GM and the UAW, GM may share information and documentation relating to the credentials of applicants for this position (e.g., resumes, journeyperson cards, interview notes, certificates, etc.) with UAW personnel who have a need to know as part of their role on the UAW skilled trades team.
Work model: This position will be on-site three days a week (Tuesday through Thursday).
We are looking for a Product Quality Engineer to lead data-driven, customer-focused problem solving on vehicle field performance. You will use advanced analytics, AI-enabled insights, and structured quality tools to quickly identify, prioritize, and eliminate customer pain points, improving satisfaction, the customer experience, and warranty performance.
You will have the opportunity to work with full vehicle content and learn from every major system, while navigating across multiple business areas – from design and manufacturing to logistics, sales, and call centers. If you enjoy having an end-to-end view of the product, this role is for you!
What You’ll Do
Drive the quality agenda in cross-functional program forums, ensuring safety and key quality risks are clearly framed, owned, and resolved in a timely manner.
Lead investigations of priority customer issues (warranty, VOC, field data, incidents) from problem definition to containment, root cause, and permanent corrective action.
Analyze multi-source data (warranty, DTCs, telematics, plant, field reports, surveys) to find patterns, risks, and priorities.
Apply structured problem-solving tools (Red X / DFSS, 8D, DMAIC, FMEA) to secure sustainable fixes.
Use AI and digital tools (copilots, dashboards, basic ML) to accelerate detection, prioritization, and decision-making.
Influence Engineering, Manufacturing, and Suppliers to implement design / process changes that prevent recurrence.
Monitor and report key quality KPIs and action effectiveness, providing clear status and recommendations.
Build and champion strong relationships across multiple functions and regions, managing conflict and influencing outcomes without direct authority.
Key Competencies and Behaviors
Analytical & Data-Driven: Structures complex problems, uses data and logic, applies sound judgment on methods, risks, and trade-offs.
Customer-Centric: Keeps customer impact at the center, using field performance and feedback to set priorities.
Fast, Structured Problem Solving: Quickly frames issues, applies Red X / DFSS, 8D, DMAIC, FMEA, and escalates when needed.
Innovative & Digital: Uses design thinking, experimentation, AI, and modern data tools to simplify and improve quality solutions.
Results-Oriented Leader: Owns outcomes end-to-end, sets clear success criteria, follows through, and measures impact on customers and business.
Customer Experience mindset – Champions an end-to-end, best-in-class customer journey, collaborating closely with key stakeholders (Contact Center, Services, Warehouse) to ensure issues are resolved with speed, empathy, and long-term satisfaction in mind.
Qualifications (Required)
Bachelor’s degree in Engineering and Active registration (CREA)
Experience in quality, product development, field performance, or similar roles dealing with customer issues.
Proven experience using data analysis and structured problem solving to resolve complex technical or systemic issues.
Proficiency with data tools (e.g. Excel, Power BI, SQL, Python/R or equivalent) and comfort with large datasets.
Working knowledge of quality / issue resolution tools (Red X, DFSS, 8D, FMEA, control plans, SPC).
Strong English communication skills; able to translate complex topics for technical and non-technical audiences.
Demonstrated ability to collaborate and influence across functions and levels without direct authority.
Enjoys a dynamic routine and is recognized for the strong drive for results, ownership, resilience, and urgency in improving customer experience and business results.
Qualifications (Preferred)
Master’s degree in relevant technical or data discipline.
Experience with automotive development and/or manufacturing (GVDP, GPDP, APQP, launch, validation, field actions).
Practical exposure to AI / ML concepts or advanced analytics platforms.
Certifications in structured problem solving and/or OpEx (Red X, DFSS, Six Sigma, Lean, OpEx).
Experience in multi-country or regional environments; Spanish a plus.
#LI-PR
]]>Necessário:
Desejável:
Importante:
1- Anexar o seu currículo no momento da aplicação, incluir o e-mail no perfil de candidato(a).
2- Confira seu número de telefone e endereço de e-mail para garantir que estejam corretos.
]]>The Display Design and Development group is a dynamic, cross-functional hardware organization within GM’s Compute & Connectivity Hardware team, responsible for the end-to-end design and integration of next-generation in-vehicle display modules. The team owns the electrical and mechanical design of fully integrated display systems—spanning control boards, optics, mechanics, and firmware—while also reviewing and approving supplier and production design changes to ensure robustness, quality, and cost efficiency.
Working closely with software, vehicle integration, and design partners, the group is building an in-house display platform that can be reused across programs, enabling faster technology introduction, richer digital experiences, and a more consistent, premium display experience for customers.
The Role:
We are looking for a Staff Hardware Engineer to lead hardware definition and technical execution for display-focused diagnostic and interface integration work. This role is centered on display hardware bring-up, interface definition, issue investigation, and cross-functional problem solving, with particular emphasis on diagnostic architecture, FIDM and related interface documentation, and PRTS issue resolution.
The ideal candidate combines strong display hardware fundamentals with the ability to work across system, software, validation, and supplier teams to define robust hardware requirements, drive root-cause investigations, and improve product quality and launch readiness.
What You'll Do (Responsibilities):
What Success Looks Like:
Your Skills & Abilities (Required Qualifications):
People Skills:
What Will Give You a Competitive Edge (Preferred Qualifications):
Company Vehicle :
Upon successful completion of a motor vehicle report review, you will be eligible to participate in a company vehicle evaluation program, through which you will be assigned a General Motors vehicle to drive and evaluate.
Note: program participants are required to purchase/lease a qualifying GM vehicle every four years unless one of a limited number of exceptions applies.
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]]>Yes - This posting is for an existing vacancy within the organization and is open to new applications. (Backfill)
AI Disclosure:
As part of the application process, Artificial Intelligence will be used in the hiring process for this role
Remote/ Hybrid: Candidates can be considered anywhere in the country of work, but if someone is within 80 Kms of Markham/ Oshawa Hub, they are required to be onsite 3 days a week.
Job Description:
We are seeking a senior engineer to join our Autonomous Vehicle Integrity Platform (AVIP) organization in a role that combines software triage and data analysis with cross-functional program execution. You should be able to read and understand code (C++, Python), be experienced with creating and utilizing data visualizations, and have a strong track record of reliable, clear communication. You will lead execution across vehicle programs—triaging issues, driving containment, and ensuring long-term resolution—while using data, tooling, and structured triage practices to keep leadership and cross-functional teams aligned on software quality and launch readiness. You thrive in collaborative, high-stakes environments, exercise independent judgment, and can translate complex technical problems into clear actions for diverse audiences.
What You'll Do (Responsibilities)
Your Skills & Abilities (Required Qualifications) :
What Will Give You A Competitive Edge (Preferred Qualifications) :
Compensation:
The salary range for this role is $104,000 to $154,000. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.
GM DOES NOT PROVIDE IMMIGRATION-RELATED SPONSORSHIP FOR THIS ROLE. DO NOT APPLY FOR THIS ROLE IF YOU WILL NEED GM IMMIGRATION SPONSORSHIP NOW OR IN THE FUTURE
Benefits:
The goal of the General Motors of Canada total rewards program is to support the health and well-being of you and your family. Our comprehensive compensation plan currently includes the following benefits, in addition to many others:
Statut du poste :
Oui – Cette offre concerne un poste vacant existant au sein de l’organisation et est ouverte à de nouvelles candidatures. (Remplacement)
Divulgation concernant l’IA :
Dans le cadre du processus de candidature, l’intelligence artificielle sera utilisée dans le processus de sélection pour ce poste.
Télétravail / mode hybride :
Les candidat(e)s peuvent être considéré(e)s partout au pays où le poste est basé, mais toute personne située à moins de 80 km des pôles de Markham/Oshawa doit être sur site 3 jours par semaine.
Description du poste :
Nous recherchons un(e) ingénieur(e) principal(e) pour rejoindre notre organisation Autonomous Vehicle Integrity Platform (AVIP) dans un rôle qui combine triage logiciel et analyse de données avec l’exécution de programmes multidisciplinaires. Vous devez être en mesure de lire et de comprendre le code (C++, Python), avoir de l’expérience dans la création et l’utilisation de visualisations de données, et posséder un solide historique de communication fiable et claire. Vous dirigerez l’exécution à travers les programmes véhicules — triage des problèmes, mise en place de mesures de confinement et garantie de leur résolution à long terme — tout en utilisant les données, les outils et des pratiques de triage structurées pour maintenir l’alignement des équipes de direction et des équipes transverses sur la qualité logicielle et la préparation au lancement. Vous vous épanouissez dans des environnements collaboratifs et à forts enjeux, exercez un jugement autonome et pouvez traduire des problèmes techniques complexes en actions claires pour des publics variés.
Ce que vous ferez (Responsabilités)
Vos compétences et aptitudes (Qualifications requises) :
Ce qui vous donnera un avantage concurrentiel (Qualifications souhaitées) :
Rémunération :
La fourchette salariale pour ce poste est de 104 000 $ à 154 000 $. Le salaire de base effectivement offert à la personne retenue à l’intérieur de cette fourchette variera en fonction de facteurs pertinents liés au poste.
GM N’OFFRE PAS DE PARRAINAGE LIÉ À L’IMMIGRATION POUR CE POSTE. NE PRÉSENTEZ PAS VOTRE CANDIDATURE POUR CE POSTE SI VOUS AVEZ ACTUELLEMENT BESOIN, OU AUREZ BESOIN À L’AVENIR, D’UN PARRAINAGE D’IMMIGRATION DE LA PART DE GM.
Avantages sociaux :
L’objectif du programme de rémunération globale de General Motors du Canada est de soutenir la santé et le bien-être de vous-même et de votre famille. Notre programme complet de rémunération comprend actuellement les avantages suivants, entre autres :
The Automation Project Engineer is responsible for developing, supporting, and optimizing robotic and automation applications plantwide (Body, Paint, GA). This role supports new technology introduction, troubleshooting, system upgrades, and continuous improvement initiatives aligned with GM Global Standards. Work is performed in a plant environment with daily interaction among production, maintenance, and engineering teams. The ideal candidate demonstrates strong technical expertise, problem‑solving capabilities, and the ability to manage multiple complex projects independently.
What You’ll Do (Responsibilities):
Your Skills and Abilities (Required Qualifications):
What Can Give You a Competitive Edge (Preferred Qualifications):
As a PPCO Supervisor you will be leading a team of Value Chain Engineers and Cost Engineers working alongside GM purchasing professionals on the cutting edge of technology, pushing the boundaries of efficient and effective material cost optimization, maximizing commercial opportunities. You will collaborate with Supply Base, Purchasing, Engineering, Quality, Finance, Manufacturing, and other business partners. You will do all this as part of an inclusive team, where differences and unique perspectives are embraced so you can reach your fullest potential as you pursue your career!
This role involves a high level of independent judgment, initiative, creativity, and the management of multiple estimates that focus specifically on identifying accurate cost estimates as well as proposed cost reductions.
Key job responsibilities:
1- Lead a team of VCEs and CEs to complete and optimize part costs:
2-Lead continuous improvement and cost reduction activities. Identify waste and inefficiencies at supplier sites
Required Education:
Required Experiences:
Candidates must demonstrate the following required competencies:
Preferred Critical Skills are but not limited to:
General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We respect and value what each individual contribution to our team, including their origin, education, sex, race, ethnic group, sexual orientation, gender expression and / or identity, religious context, age, generation, and disability. We believe that our ability to meet the needs and expectations of an increasingly diverse and global customer base is closely linked to the diversity and inclusion that we experience within General Motors.
If you need a reasonable accommodation to assist with your employment, please mention it to the recruiter
]]>GM DOES NOT PROVIDE IMMIGRATION-RELATED SPONSORSHIP FOR THIS ROLE. DO NOT APPLY FOR THIS ROLE IF YOU WILL NEED GM IMMIGRATION SPONSORSHIP NOW OR IN THE FUTURE. THIS INCLUDES DIRECT COMPANY SPONSORSHIP, ENTRY OF GM AS THE IMMIGRATION EMPLOYER OF RECORD ON A GOVERNMENT FORM, AND ANY WORK AUTHORIZATION REQUIRING A WRITTEN SUBMISSION OR OTHER IMMIGRATION SUPPORT FROM THE COMPANY (e.g., H-1B, OPT, STEM OPT, CPT, TN, J-1, etc.)
This job may be eligible for relocation benefits.
Onsite: This role is categorized as onsite. This means the successful candidate is expected to report to Flint Stamping on a full-time basis.
The Role:
The Stamping Launch Manager leads cross-functional activities required to launch new stamping dies and
processes safely, on schedule, within budget, and at the required quality and throughput levels. This role
coordinates plant, manufacturing engineering, tooling, quality, material, maintenance, and supplier teams to
ensure production readiness and successful vehicle-program launch.
What You'll Do (Responsibilities):
• Lead the plant stamping launch team and establish clear roles, responsibilities, timing, and escalation
processes.
• Develop and maintain the stamping launch plan, Launch Wall, open-issues list, action plans, and performance
reports.
• Coordinate die delivery, installation, commissioning, tryouts, buyoffs, and handoff to production.
• Track die-set readiness, manufacturability, quality, throughput, and production-readiness risks through SORP.
• Lead regular launch meetings with Stamping Operations, Manufacturing Engineering, Die Leads, Plant
Launch Operations, Quality, Material, Maintenance, Body Shop, and suppliers.
• Drive timely resolution of launch issues using structured root-cause and problem-solving methods.
• Coordinate T-events, production trial runs, batch-and-hold activities, temporary deviations, and escalation
actions.
• Ensure container strategy, material flow, warehouse layout, and space requirements support the launch
schedule.
• Support part-quality reviews, dimensional performance, formability, surface quality, and throughput validation.
• Monitor launch expenditures, funded hours, purchase requests, contractor activity, and budget performance.
• Coordinate plant resources, including skilled trades, production operators, checkers, engineers, and launch
support personnel.
• Develop and execute launch-related training for production, maintenance, and technical teams.
• Capture and communicate lessons learned through post-launch reviews and issue-tracking systems.
Your Skills & Abilities (Required Qualifications) :
• 5 yrs + experience in automotive stamping, press operations, tooling, die manufacturing, or manufacturing
engineering.
• Strong understanding of stamping processes, transfer or tandem presses, dies, material flow, and production
launch activities.
• Demonstrated project-management, scheduling, risk-management, and issue-resolution skills.
• Ability to lead cross-functional teams and make timely decisions in a high-pressure launch environment.
• Strong written, verbal, presentation, and stakeholder-management skills.
• Working knowledge of safety requirements, quality systems, GMS, PFMEA, process controls, and change
management.
• Proficiency with Microsoft Office and launch/project-tracking systems.
Stamping Launch Manager Job Description
• Ability to travel to supplier facilities, die shops, buyoffs, and launch events as required.
What Will Give You A Competitive Edge (Preferred Qualifications):
• Bachelor’s degree in engineering, manufacturing, or a related technical field.
• Experience with stamping die design, die tryout, formability analysis, GD&T, dimensional inspection, or part-
quality improvement.
• Experience with PPAP, APQP, PFMEA, process validation, and production trial runs.
• Experience working with automotive OEMs, die suppliers, and plant launch organizations.
• Familiarity with QAB, Maximo, TMaCS, or comparable issue and asset-management systems.
• Lean manufacturing, Six Sigma, Red X, or structured problem-solving certification.
Success Measures
• Safe execution of all launch activities.
• Dies and processes delivered to plan.
• Parts meeting quality and dimensional requirements.
• Throughput and takt-time targets achieved.
• Issues contained and permanently resolved.
• Production team trained and ready.
• Launch completed on schedule and transitioned effectively to steady-state operations
As a Design Sculptor - Digital, you will develop high-quality digital surfaces that translate vehicle design intent into production-feasible solutions. You will collaborate with designers, engineers, and manufacturing partners across vehicle programs to refine interior and exterior components. This role combines advanced digital sculpting, surface quality, and technical problem-solving to support accelerated vehicle development.
Develop and refine NURBS for vehicle interior and exterior components.
Translate design themes, sketches, and engineering requirements into accurate digital surface solutions.
Evaluate surface quality, continuity, highlights, and feasibility throughout the development process.
Partner with design, engineering, manufacturing, and supplier teams to resolve surface and integration issues.
Prepare and maintain accurate data for reviews, development milestones, and downstream processes.
Communicate technical recommendations, risks, and status to program stakeholders.
Bachelor’s degree in transportation design, industrial design, mechanical engineering, or a related field; equivalent experience may be considered.
3 or more years of experience in automotive digital sculpting, surface development, or a related discipline.
Proficiency with Alias, NX, or comparable NURBS-based digital modeling tools.
Working knowledge of surface evaluation, design intent interpretation, and production feasibility.
Demonstrated ability to collaborate effectively across design, engineering, manufacturing, and supplier organizations.
Experience developing automotive interior or exterior surfaces through production.
Experience with Teamcenter or comparable product data management systems.
Knowledge of automotive product development processes, surface quality standards, and manufacturing considerations.
Experience supporting multiple vehicle programs in an accelerated development environment.
The Launch Process Engineering Team excels in the development, testing, implementation and execution of new casting programs, platforms and technology. This group is unique in that by working with and across multiple levels of the GM technical groups, vendors and suppliers, the complex problems of casting projects are developed into controlled manufacturing processes.
The Team
The Specific Purpose of this position is to perform casting manufacturing projects by following a systematic engineering process of evaluation, development, validations, technology transfer leading into and supporting the production launch and processing. Specifically responsible and directly involved in the development of manufacturing processes, equipment, tooling and alternatives, sequences, operations, utilizations to produce castings.
What You'll Do
Ability to work individually on specific programs yet collaboratively with Launch Team, QC, Design, Tooling, and other support groups
Support Launch Wall process via Manufacturing Validations, Build Plans, PPAP and related engineering procedures.
Support testing and installations of equipment, tooling and technologies both on and off site
Lead, support and present the analysis of casting defects.
Assist in process, tooling and equipment testing, troubleshooting and implementations
Develop process documentation, Process flow diagrams, PCP, PFMEA, TIS, and related technical documents as necessary for a program launch.
Analyze first time quality data and optimize processes using DOE, Red X, and related statistical tools
Perform both Non and destructive testing procedures for casting investigation and analysis (leak testing, x ray, CT, thermal, lab specimen prep, chemistry, density, mechanical, etc).
On site work, working on shop floor, hands on equipment, understanding of casting shop activity.
Your Skills and Abilities (required qualifications)
Training in foundry processes
Training in process engineering procedures and disciplines
Basic knowledge of Magma, Flow 3D, simulation software
Basic knowledge of NX or Catia or any 3D design software
BS degree (engineering, metallurgical, computer science) or equivalent experience is required
Must be able to start work in October 2026
What Will Give You a Competitive Advantage (preferred qualifications)
Training in aluminum metallurgy
Training in flow simulations (Magma, Flow 3d)
Training in 3D design software
Mechanical properties testing and procedures
Training in Problem solving
GM does not provide immigration-related sponsorship for this role. Do not apply for this role if you will need GM immigration sponsorship now or in the future. This includes direct company sponsorship, entry of GM as the immigration employer of record on a government form, and any work authorization requiring a written submission or other immigration support from the company (e.g., H1-B, OPT, STEM OPT, CPT, TN, J-1, etc.)
Work Arrangement
This role is categorized as onsite. This means the successful candidate is expected to report to Warren, MI on a full-time basis.
To help facilitate administration of relocation benefits if you are selected, please apply using the permanent address you would move from.
Benefits:
GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.
This job may be eligible for relocation benefits
Required Qualifications & Skills
Experience
In case you need any reasonable adjustment to continue with your process, let your recruiter know.
Remember to attach your CV when applying to this vacancy.
General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We respect and value what each individual contribution to our team, including their origin, education, sex, race, ethnic group, sexual orientation, gender expression and / or identity, religious context, age, generation, and disability. We believe that our ability to meet the needs and expectations of an increasingly diverse and global customer base is closely linked to the diversity and inclusion that we experience within General Motors.
]]> Hybrid: for this position is required to be on site 3x/week
The Role:
The SSLE is a dynamic individual contributor with recognized expertise, responsible for requirements and associated work throughout the entire vehicle development lifecycle, including requirements definition, design and implementation, testing, and problem resolution. You will work closely with multi-functional stakeholders (system engineers, software developers, testers, etc.) to support innovative technology development.
Some travel may be required, primarily to Michigan/Ontario and other locations in the US and Canada.
What You’ll Do (Responsibilities):
Your Skills and Abilities (Required Qualifications)
People Skills:
What Will Give You A Competitive Edge (Preferred Qualifications)
#LI-DH2
]]>General Motors is a global leader in advanced driver assistance. With Super Cruise hands-free technology in more than 500,000 Super Cruise-equipped vehicles on the road, and over 700 million hands‑free miles driven, GM is proving that automation can be trusted, intuitive, and helpful. GM has the global reach to bring cutting‑edge advances to everyday drivers at unprecedented scale. Join us to help deliver the next generation of safe and delightful personal autonomous vehicle experiences.
The Evaluation team builds and evolves the evaluation ecosystem that powers developing and scaling GM’s autonomous driving technology. We develop metrics, automated workflows, and analysis approaches that enable data-driven decisions across AV development and verification. Partnering with Autonomy, Simulation, Systems, and Safety teams, we act as system-level integrators and arbiters of end-to-end AV quality. We own large scale test scenario libraries, continuous evaluation pipelines, and critical risk assessment and release gating components, treating road testing, data mining, training, and metrics as first-class use cases in a unified analytics framework. By joining this team, you will help shape GM’s core evaluation platforms, turn system-level results into clear feedback, and help accelerate validated AV deployment at scale.
What You’ll Do (Responsibilities)
Define the strategy and architecture for metrics and analyses to evaluate autonomous driving software performance across the autonomy stack.
Lead cross-functional efforts with autonomy, systems engineering, simulation, and data teams to embed evaluation into development workflows and release decisions.
Invent and drive new statistical and ML methods, and ML introspection techniques, to quantify performance, detect regressions, and reveal patterns of system behavior at scale.
Own and refine key AV evaluation metrics and KPIs used for readiness and safety decisions; synthesize and present results and tradeoffs to stakeholders; make insights readily available to partner teams through interactive dashboards.
Your Skills & Abilities (Required Qualifications)
7+ years applied experience with robotics or autonomous systems software, spanning multiple subsystems from perception through planning and control of the vehicle.
3+ years leading evaluation of complex dynamic systems using numerical and ML approaches on large-scale time series data.
Proficiency developing Python in production team environments; strong ability to work in large C++ autonomy codebases.
Proven cross-team technical leadership, including defining strategies adopted by multiple teams and influencing system and architecture decisions.
A strong curiosity to question anomalous data and systematically root-cause discrepancies.
PhD, Masters, or Bachelor’s degree in Computer Science, Robotics, Mechanical or Aerospace Engineering, Machine Learning, or a related field.
What Will Give You a Competitive Edge (Preferred Qualifications)
Experience in autonomous driving or high-stakes field robotics; designing, running, and interpreting large-scale simulation and field experiments.
Deep familiarity with statistical modeling, experimental design, and hypothesis testing for autonomy evaluation; command of Pandas, NumPy, SciPy, and visualization libraries.
Proficiency in C++ and SQL, and experience shaping logging, data schemas, and evaluation pipelines for large-scale autonomy testing.
Experience working with ROS or other IPC, robotics stack logging, and with large-scale experiment databases, including designing or scaling evaluation platforms.
Prior development with computational geometry, linear algebra, PyTorch, and machine learning.
Background in modeling agent interaction and owning or designing release gating criteria and processes for autonomy systems.
General Motors is a global leader in advanced driver assistance. With Super Cruise hands-free technology in more than 500,000 Super Cruise–equipped vehicles on the road and over 700 million hands-free miles driven, GM is proving that automation can be trusted, intuitive, and helpful. GM has the global reach to bring cutting-edge advances to everyday drivers at unprecedented scale. Join us to help deliver the next generation of safe and delightful personal autonomous vehicle experiences.
The Evaluation team builds and evolves the evaluation ecosystem that powers the development and scaling of GM’s autonomous driving technology. We develop metrics, automated workflows, and analysis approaches that enable data-driven decisions across AV development and verification. Partnering with Autonomy, Simulation, Systems, and Safety teams, we act as system-level integrators and arbiters of end-to-end AV quality.
We own large-scale test scenario libraries, continuous evaluation pipelines, and critical risk assessment and release-gating components, treating road testing, data mining, training, and metrics as first-class use cases in a unified analytics framework. By joining this team, you will help shape GM’s core evaluation platforms, turn system-level results into clear feedback for engineering and leadership, and help accelerate validated AV deployment at scale.
Architect and implement metrics and analyses to introspect autonomous driving software performance at interfaces across the autonomy stack; partner closely with autonomy developers and systems engineers.
Design and implement analysis algorithms that summarize, aggregate, and cluster metrics produced by simulations and on-road runs of the autonomy stack.
Propose and develop new statistical and ML methods to quantify performance and identify patterns of system and subsystem behavior across diverse scenes and operational domains.
Develop and apply methods to introspect the operation of ML components in the autonomy stack, including evaluation of perception, prediction, and planning models.
Build and maintain autonomy evaluation dashboards and interactive reports that provide clear, explainable insights (e.g., trend analysis, drift detection, scenario coverage) for development, verification, and leadership.
Leverage vision-language models (VLMs) and large language models (LLMs), where appropriate, to classify autonomy performance, identify critical scenarios, and prioritize validation efforts, integrating human-in-the-loop review where needed.
Maintain a high technical standard through thoughtful system design, code reviews, testing, observability, and adherence to software-engineering best practices.
Interface with cross-organizational partners to articulate requirements, resolve handoff issues, and share best practices around evaluation, metrics, and experiment design.
5+ years of applied experience with robotics or autonomous systems software (e.g., sensors, perception, prediction, planning, or control), data analysis, ML evaluation, or autonomy analytics.
3+ years evaluating dynamic systems using numerical and/or ML approaches, including time-series data, state derivatives, dynamics, and interconnected subsystems.
Strong proficiency developing Python in production team environments, including testing, performance, and code review.
Proficiency with Pandas, NumPy, SciPy, and plotting/visualization libraries for large-scale data analysis and reporting.
Comfort working with C++ codebases, including reading, debugging, and instrumenting core algorithms.
A strong curiosity to question anomalous data and systematically root-cause discrepancies.
Demonstrated technical leadership, including driving architectural decisions, influencing cross-team designs, and owning complex features or services end-to-end.
Bachelor’s, Master’s, or PhD in C omputer Science, Robotics, Mechanical or Aerospace Engineering, Machine Learning, Data Science, or a related field, or equivalent practical experience.
Experience in a utonomous driving or field robotics, including visualizing and interpreting results from simulation and field experiments.
Experience evaluating robotics or AV systems using sensor data (e.g., camera, lidar, radar) and large-scale time-series analysis.
Strong intuition for data visualization and the ability to decompose high-dimensional metrics into clear, trustworthy, and consumable views for technical and non-technical audiences.
Familiarity with statistical modeling, experimental design, and hypothesis testing for autonomy or simulation evaluation; fluency with Pandas, NumPy, SciPy, and visualization tools.
Proficiency in C++ and SQL; experience shaping logging, data schemas, and evaluation pipelines for large-scale autonomy testing and performance monitoring.
Experience working with ROS or similar robotics/IPC frameworks, log pipelines, and large-scale experiment databases or evaluation platforms.
Prior development experience with computational geometry, linear algebra, PyTorch, and ML techniques applied to perception, prediction, planning, or control.
Background in modeling agent interaction and contributing to release gating and safety decisions for autonomy systems.
Experience leveraging AI-assisted development and analytics tools to improve productivity and evaluation coverage.
At General Motors, our product teams are redefining mobility. Through a human-centered design process, we create vehicles and experiences that are designed not just to be seen, but to be felt. We’re turning today’s impossible into tomorrow’s standard —from breakthrough hardware and battery systems to intuitive design, intelligent software, and next-generation safety and entertainment features.
Every day, our products move millions of people as we aim to make driving safer, smarter, and more connected, shaping the future of transportation on a global scale.
About the Role:
This person will manage a large group of Interior Engineering Designers and DLTs/Design TSs with similar functional responsibilities for Design deliverables in support of projects and programs within the Instrument Panel and Floor Console (IPFC) Design group.
They will be responsible for staffing, communicating, training and development, directing and prioritization of work, evaluating performance and removing roadblocks. They will also provide technical leadership and guide the team to successful execution of vehicle programs with strong technical solutions. They will help develop processes, standards, or operational plans in support of the organization's business strategies with a direct impact on business and/or function overall results and influence others within the organization to accept new concepts, practices, and approaches. They will promote GM's values and makes customer-focused decisions, proactively lead, guided, and direct a group of technical employees responsible for Design deliverables in support of the organization's business objectives as well as manage math development process.
What You'll Do (Responsibilities):
Your Skills & Abilities (Required Qualifications):
What Can Give You a Competitive Edge (Preferred Qualifications):
GM DOES NOT PROVIDE IMMIGRATION-RELATED SPONSORSHIP FOR THIS ROLE. DO NOT APPLY FOR THIS ROLE IF YOU WILL NEED GM IMMIGRATION SPONSORSHIP NOW OR IN THE FUTURE. THIS INCLUDES DIRECT COMPANY SPONSORSHIP, ENTRY OF GM AS THE IMMIGRATION EMPLOYER OF RECORD ON A GOVERNMENT FORM, AND ANY WORK AUTHORIZATION REQUIRING A WRITTEN SUBMISSION OR OTHER IMMIGRATION SUPPORT FROM THE COMPANY (e.g., H-1B, OPT, STEM OPT, CPT, TN, J-1, etc.)
#LI-JN1
]]>At General Motors, our IT and digital teams enable the platforms, systems, and secure technology environments that power our business and help shape the future of mobility.
GM Defense is a growing business organization that engages with government and defense customers and must conform to DoD regulatory requirements for defense contractors. All IT solutions must consider Defense Federal Acquisition Regulations Supplement requirements and International Traffic in Arms Regulation criteria for contractors and defense manufacturers. This requires specialized expertise as GM Defense IT continues architecting and delivering a government-compliant technical environment to run the business.
GM Defense IT is seeking an IT System Engineer to support systems engineering activities across secure and regulated environments. This role will contribute to structure, repeatability, and operational discipline across the GM Defense IT landscape while supporting project delivery, operational health, customer support, compliance, and issue resolution in collaboration with enterprise architecture, security, and cross-functional IT teams.
Key Responsibilities
Support project teams by gathering and documenting requirements, coordinating with partner support teams, executing assigned project tasks, delivering solutions, and providing lifecycle support.
Partner with GM IT enterprise architecture and technical teams to support applications, tools, and technical solutions that streamline IT processes while conforming to cybersecurity and compliance controls.
Collaborate with GM IT security leadership, including the ISSM, to support cleared and controlled systems and help maintain secure, compliant environments.
Perform, document, and improve operational health activities for information systems, including patching, upgrades, refreshes, maintenance, troubleshooting, and corrective actions in support of continuing operations.
Monitor, validate, and document implemented security controls and support audit activities through analytical review, reporting, and compliance-focused process discipline.
Develop and maintain self-help tools, user guides, install guides, and knowledge articles that improve customer interactions and strengthen repeatable support processes.
Serve as a technical point of contact for assigned customers, projects, and operational work, helping coordinate activities, resolve issues, and communicate status and risks.
Create and use tools and documented processes to help manage the secure and operational health of the environment.
Participate in triage sessions and cross-functional workstreams to troubleshoot issues, identify root causes, and drive timely resolution of incidents and systemic problems.
Identify and recommend opportunities to improve internal processes, services, and structures within the assigned work area, and help deliver practical solutions that support GM Defense priorities.
Follow through on difficult situations and coordinate resolution across the appropriate technical and support teams.
Share knowledge, contribute to team learning, and support less experienced team members through collaboration and documented guidance.
Bachelor’s degree in Information Technology, Engineering, Computer Science, or a related field, or equivalent combination of education, training, and experience.
Experience supporting or delivering IT systems in a professional or corporate environment.
Experience working with established processes and technologies to analyze issues, determine appropriate courses of action, and deliver solutions with limited guidance.
Experience gathering requirements, supporting solution design, and working with multiple technical teams to deliver systems that meet functionality, stability, performance, and resiliency expectations.
Experience in one or more of the following areas: systems engineering, infrastructure support, application support, operational health management, server engineering, security operations, or technical troubleshooting.
Experience identifying and correcting non-routine problems in existing systems or processes through independent judgment.
Experience using automation, tooling, AI agents ,documentation, or other technical solutions to improve supportability and operational efficiency.
Strong written and verbal communication skills, including the ability to work effectively with customers, project teams, support teams, architects, and security partners.
Willingness to sign non-disclosure agreements where required.
Travel required. Most travel will be driving between GM locations within southeast Michigan, with potential travel of 50–60%. Travel outside southeast Michigan may be required, with potential travel of 10–15%.
Ability to pass vetting or secure U.S. government clearance as required to support GM Defense work.
Prior experience supporting government, defense, aerospace, or other regulated environments.
Understanding of government data classifications and handling requirements, including concepts such as CUI, ITAR, EAR, export controls, and classified program sensitivities.
Knowledge of government cybersecurity and control frameworks such as CMMC, DFARS, NIST SP 800-171, or NIST SP 800-53.
Experience supporting cleared systems or other highly controlled environments with security, compliance, or regulatory constraints.
Experience with server engineering activities such as installation, patching, upgrades, and refreshes.
Experience in a defined architecture or technology domain such as infrastructure platforms, Java, .NET, cloud technologies, or related enterprise technologies.
Experience with incident triage, root-cause analysis, operational monitoring, or service improvement.
The Role
This position manages select U.S.A. Integrated Business Partners (IBP) for the GM Accessories Product Marketing team. In this role, the individual will assist in achieving the overall objectives related to Accessories financial metrics, manage the day-to-day relationships with assigned IBP suppliers, and work cross-functionally to develop and launch new accessories. This role will also take a lead in shaping Accessories strategy through data-driven insights and analysis. Familiarity with the
aftermarket accessories industry, product development processes, engineering, purchasing, marketing, and customer sales are preferred.
What You'll Do
Your Skills & Abilities (Required Qualifications)
What Can Give You a Competitive Advantage (Preferred Qualifications)
If you are a current employee of General Motors working in a per diem, hourly, or regular salaried role, you must apply through the internal careers page. Please navigate to https://workday.gm.com and search for GM Find Jobs.
The General Motors Manufacturing Group is seeking to identify highly motivated and qualified individuals for current and potential future opportunities as a Group Leader. In anticipation of these openings becoming available, we welcome you to apply so we can begin the pre-screening and interview process.
Onsite: This role is categorized as onsite. This means the successful candidate is expected to report to Spring Hill, TN on a full-time basis.
The Role:
As a Group Leader in Production, Quality, or Global Supply Chain (GSC), you will be responsible for leading teams of employees or technical personnel to drive operational excellence across manufacturing processes. This includes managing daily operations, developing and improving business processes, and fostering a culture of teamwork and collaboration.
In this role, you may oversee production activities, quality assurance, inspection, problem-solving, and GM Built-in-Quality initiatives. You will be expected to apply independent judgment within the framework of Global Manufacturing Systems, with a strong focus on Safety, People, Quality, Responsiveness, Cost, and Environment (SPQRCE).
Selected candidates will gain the chance to develop new skills while contributing to the advancement of manufacturing processes that support the groundbreaking shift toward electric and autonomous vehicles.
What You'll Do (Responsibilities):
Analyze and respond promptly to the manufacturing daily plan, making necessary adjustments to operations as required
Manage multiple tasks in a fast-paced environment with competing priorities
Possess the experience to manage change and navigate ambiguity
Drive accountability through people and processes which may require difficult conversations
Specific physical requirements of the position include the ability to:
Work in a loud manufacturing environment that may not be climate controlled (conditions can be hot or cold)
Possess good physical stamina and coordination to frequently and repetitively:
Bend, twist, kneel, crouch and reach to perform work
Lift or carry materials weighing up to 15 lbs. and periodically carry or lift materials weighing up to 40 lbs.
Walk and stand for prolonged periods of time
Occasionally sit, climb (including ladders and lifts) and drive vehicles and equipment
Read standardized work instructions, operate machines and tools, and perform quality inspections
Promptly detect and respond to safety instructions, alarms, and signals
Wear personal protective equipment, for example: safety glasses, gloves, hats, ear plugs, and safety shoes
Your Skills and Abilities (Required Qualifications):
One year of direct supervisory experience or at least 5 months as an internal GM per diem group leader
Experience managing, leading people, and addressing performance concerns
Experience solving complex problems and working in a fast-paced environment
Strong interpersonal skills, experience managing conflict, and decision making
Demonstrate a high analytical ability to solve complex problems
Basic computer proficiency (i.e. Microsoft Word, typing, email etc.)
Must be willing to work weekends and rotating shifts
18 years of age or older
High School Diploma or equivalent
What Can Give You a Competitive Edge (Preferred Qualifications):
Knowledge of Continuous Improvement Processes (CIP)
Proficient in Throughput Improvement Process (TIP)
Advanced understanding of manufacturing and assembly processes
Experience supervising employees in a union environment
Supply Chain or Quality Experience
Experience implementing Built-in-Quality Initiatives
Red X & DFSS Certification
Lean Manufacturing experience
Knowledge of timekeeping systems
Knowledge of financial management concepts to improve costs
The Role:
Develop and manage GM and ACDelco product portfolio to grow Parts & Accessories (P&A) business in Egypt and Africa region. Continuously improve product competitiveness, expand the approved supplier network and product offerings according to GM global guidelines.
What You'll Do:
• Handle Product development activities for Egypt & Africa
• Develop SOR (Scope of Requirements) with engineering testing & validation requirements required to initiate sourcing of new parts & accessories
• Review engineering testing and validation submitted documents to ensure compliance
• Evaluate product & supplier technical capabilities & literature
• Participate in PSA (Potential Supplier Assessment) from engineering & technical prospective
• Present country updates in global meetings for product readiness, parts progress, and new projects execution
• Support quality concerns resolution and improvement from engineering perspective
• Ensure compliance of products to specification to ensure safety, performance & durability standards
• Develop source data for product features, benefits & unique selling points (USPs)
• Study products vs competitors’ features to develop products SWOT and insights
• Design Packaging Artwork & propose packing enhancements with GM global team
• Coordinate parts change management between plant and dealer network
• Manage Online Parts Catalogues, ensuring timely and accurate reflection of all changes.
• Support Business development for parts & accessories to explore new opportunities (new market, growth opportunities, customers, partnership, products & services) in Egypt & North Africa
Your Skills & Abilities (Required Qualification)
Educational and Experience Background:
• Engineering university degree, preferably in Automotive or Production Mechanical Engineering.
• MBA is a plus.
• Minimum 5 years of experience in the automotive industry, with a strong edge for candidates who have managed supplier quality and development activities.
• Strong technical knowledge of automotive components.
• Good understanding of parts production processes and validation requirements.
Skills:
• Communication and presentation skills
• Highly organized and methodical.
• Strong problem-solving abilities.
• Negotiation skills
• Project Management skills
• Time Management and Multitasking Skills
This posting is not for an existing vacancy within the organization and is open to new applications. (New Head Count)
AI Disclosure:
As part of the application process, Artificial Intelligence will be used in the hiring process for this role.
Work Arrangement:
Hybrid: This role is categorized as hybrid. This means the successful candidate is expected to report to Markham Elevation Centre (MEC) or Oshawa Elevation Centre (OEC) three times per week at minimum, or other frequency dictated by the business.
About GM:
At General Motors we pride ourselves on designing, building and selling the world's best vehicles. We are seeking a new generation of visionaries to help launch bold engineering and business initiatives, and shape new directions for General Motors. As an intern or co-op student through our EXCEL (Exploring Careers through Experiential Learning) Program you will gain hands-on career specific experiences to maximize your real world potential.
Collaborating on innovation challenges, interacting with Industry leaders, attending cross-functional networking events and volunteering for community service activities.
The Role
The Data Engineering organization at General Motors is driving innovation by harnessing data to shape the future of mobility. We are seeking a highly motivated and detail-oriented Co-Op Engineer to join our team. In this role, you will contribute to the development of software pipelines that configure the behavior of vehicle data recording systems, including both the Control and Data planes. This position requires a solid foundation in software development principles and strong collaboration skills to work effectively across diverse engineering teams. The ideal candidate will have a strong background in software development, a passion for data-driven systems, and experience in managing and scaling data flows.
What You'll Do (Responsibilities)
Develop and maintain configuration files that define the operational state of the vehicle’s Control and Data planes.
Design, implement, and maintain software pipelines to verify the integrity of vehicle data and control plane parameters.
Build software tools to ingest, cross-check, manage changes, and release data recording configuration files.
Create workflows for automated verification of configuration parameters.
Maintain detailed records of configuration files, including parameter definitions, boundaries, optimal values, and system-level impacts.
Support CI/CD and DevOps initiatives for automated integration, testing, and release of vehicle data recording software parameters.
Analyze vehicle data logs to identify discrepancies and optimize system performance.
Contribute to the continuous improvement of vehicle data recording and analytics software.
Required Qualifications:
Currently pursuing a Bachelor’s degree in Computer Engineering or Computer Science, Software Engineering, Electrical engineering, Data Science, Data Engineering or equivalent
Eligible to work full time hours, 40 hours a week for a term of 8 or 12 months (consecutive semesters) starting January 2027
Proficiency in programming languages such as Python, Java, or C/C++.
Preferred Qualifications:
Strong understanding of software development principles and best practices.
Prior experience with Eco Car/ Auto drive or similar projects.
Experience with GitHub, GitHub Actions, and workflow automation.
Solid grasp of logging and data processing concepts.
Strong analytical and problem-solving skills with the ability to troubleshoot complex issues.
Excellent communication and collaboration skills, with a team-oriented mindset.
Experience with calibration/configuration tools and processes.
Familiarity with cloud platforms (AWS, GCP, Azure) and their logging services.
Contributions to data-intensive open-source projects.
Expertise in CI/CD pipelines and automation tools.
Knowledge of embedded software development and optimization.
NOTE- YOU MUST BE ENROLLED IN A CO-OP PROGRAM AND MEET THE PROGRAM’S ELIGIBILITY REQUIREMENTS. ALL STUDENTS MUST ALSO BE LEGALLY ENTITLED TO WORK IN CANADA.
The monthly salary range for this role is $4,264.00 to $4784.00. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.
Sponsorship : PLEASE ONLY APPLY IF YOU DO NOT NEED SPONSORSHIP TO WORK IN CANADA NOW OR IN THE FUTURE. WE ARE UNABLE TO CONSIDER CANDIDATES WHO REQUIRE SPONSORSHIP
THIS JOB IS NOT ELIGIBLE FOR RELOCATIONS BENEFITS. ANY RELOCATION COSTS WOULD BE THE RESPONSIBILITY OF THE SELECTED CANDIDATE.
Accommodation is available for applicants with disabilities. Should you be contacted by General Motors of Canada Company, please advise if you require accommodation.
For more information about GM Canada, visit our website at www.gm.ca/careers
General Motors of Canada values diversity and is an equal opportunity employer
We are seeking a creative and highly motivated software engineer eager to learn diverse datasets to build data pipelines, deploy scalable, AI-driven solutions, and create interactive web apps that deliver measurable impacts across GM vehicle engineering and customer experience. Your work will contribute directly to GM vehicle quality and help achieve GM's vision of a world with ZERO Crashes, ZERO Emissions, and ZERO Congestion
The role is in the Vehicle Electronics and Software Execution (VESET) organization. The team is at the forefront of innovation, where vehicle software design, release, warranty, and telemetry data converge to transform engineering and quality processes. We’re pioneering intelligent automation through advanced prognostics powered by smart algorithms, large language models (LLMs), and machine learning driving faster issue resolution and launching vehicles with exceptional quality.
What You’ll do:
Collaborate with engineers, data scientists, and stakeholders to deliver applications that train and serve machine learning models and create apps that make large datasets available to wider audience.
Develop analytics based on wide variety of engineering, program and manufacturing data to develop insights critical to vehicle program launches.
Undertake preprocessing of structured and unstructured data.
Deploy scalable AI/ML powered analytics and prognostics applications in a cloud environment, driving innovation across vehicle telemetry and software integration domains.
Analyze large amounts of diverse information to discover trends and patterns that drive executive decision-making, product launch strategies, and data-driven quality improvements.
Present complex information using data visualization techniques and develop UI applications to deliver insights to business clients.
Create repeatable and scalable code bases and processes for improving development / execution efficiency.
Work with partner teams such as data governance, infrastructure, architecture, and operations on platform management and technology migrations as required.
Proactively monitor new trends and technologies and actively seek ways to increase productivity, including using GenAI where appropriate.
Required Qualification:
Pursuit of a Bachelor’s or Masters degree in one of the following areas: Computer Science or Data science
Must be graduating between December 2026 and August 2027
Proficient in Python
Must be able to work in Southeast Michigan
Able to work full-time, 40 hours per week
Preferred Qualifications:
Familiarity with visualization tools (Power BI, Databricks Dashboard) to effectively communicate insights
Familiarity with SQL, Databricks in Azure Cloud environment
Familiarity with data storage solutions, databases, and data processing framework
Ability to translate business questions into data-driven solutions
Experience building AI/ML based solutions
GM does not provide immigration-related sponsorship for this role. Do not apply for this role if you will need GM immigration sponsorship now or in the future. This includes direct company sponsorship, entry of GM as the immigration employer of record on a government form, and any work authorization requiring a written submission or other immigration support from the company (e.g., H1-B, OPT, STEM OPT, CPT, TN, J-1, etc.)
Work Arrangement & Location:
Hybrid: This role is categorized as hybrid. This means the successful candidate is expected to report to the office three times per week, at minimum times per week or other frequency dictated by the business.
Locations:
Warren, Michigan - GM Global Technical Center – Cole Engineering Center
Milford, Michigan - General Motors Proving Grounds
To help facilitate administration of relocation benefits if you are selected, please apply using the permanent address you would move from.
Benefits:
GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.
This job may be eligible for relocation benefits
Global Manufacturing Electrical & SDV is seeking curious, driven students who want to be part of something bigger than themselves. If you're energized by real challenges, eager to learn, and ready to contribute to meaningful work that shapes the future of the automotive industry, this opportunity is for you.
This isn’t just about getting experience—it’s about making an impact. You’ll work alongside experienced professionals, gain hands-on exposure to cutting-edge projects, and see firsthand how your ideas can influence real-world outcomes. You’ll face fast-paced environments and evolving priorities, but you’ll also have the support of a people-first culture that values growth, learning, and balance.
If you're excited to build your skills, expand your perspective, and contribute to something with real purpose, we’d love to hear from you.
The Team:
Global Manufacturing Electrical & SDV helps GM build high-quality vehicles to our customers by combining electrical engineering, software, data, testing, and manufacturing expertise. Our team works to improve Electrical First-Time Quality, solve plant-critical challenges, and develop scalable solutions. We bring manufacturing software and hardware design in-house to move faster and enable Vehicle as a Tester (VaaT) and SDV 2.0 capabilities. Interns will gain hands-on experience solving real manufacturing problems and contributing to innovations that will shape the future of vehicle production.
What You’ll Do:
As a student in the Global Manufacturing Electrical & SDV organization, you will focus on delivering innovative manufacturing solutions that help support electrical first-time quality (E-FTQ) at our plants. You will:
Help drive meaningful progress in vehicle electrical systems through hands-on projects and problem-solving.
Foster a forward-thinking work culture that embraces change and navigates future organizational and industry challenges.
Build and nurture strategic relationships across various functions including software, manufacturing, and program management to synergize efforts towards future innovations.
Examples of past intern projects include:
Assist with writing manufacturing software code (using C++) that supports the next generation of vehicle electrical systems.
Build easy-to-understand dashboards using Power BI to help manufacturing and engineering teams make data-driven decisions and solve the customer and plants’ biggest problems.
Help design innovative electrical tooling and equipment solutions that empower assembly plants to ensure the highest quality vehicle electrical systems and create the standardized work for use of this hardware.
Designing and documenting a scalable test setup that provides shared power and network connections for vehicle electronic components.
Required Qualifications:
Pursuit of a bachelor’s or master’s degree in engineering or technology in one of the following areas: Automotive, Computer/Computer Science/Computer Animation, Construction Management, Civil, Industrial, Industrial Operations, Information Technology, Machine Learning, Manufacturing, Mechanical, Mechatronics, Robotics, Software, Data Scientists, or equivalent field
Must be graduating between December 2027 and June 2010
Able to work fulltime, 40 hours per week during the summer months
What will give you a Competitive Edge (Preferred Qualifications):
Insatiable curiosity and desire to learn
Demonstrated leadership in academic, extracurricular, or project settings
Conceptual understanding and/or experience in any of the following:
Manufacturing processes
Programming or understanding software logic (e.g., Linux, C++)
Information Technology systems
Ability to work independently and with a team
Effective communication and relationship-building skills
High level of integrity, self-motivation, and adaptability in a fast-paced environment
GM does not provide immigration-related sponsorship for this role. Do not apply for this role if you will need GM immigration sponsorship now or in the future. This includes direct company sponsorship, entry of GM as the immigration employer of record on a government form, and any work authorization requiring a written submission or other immigration support from the company (e.g., H1-B, OPT, STEM OPT, CPT, TN, J-1, etc.)
Work Arrangement:
Onsite: This role is categorized as onsite. This means the successful candidate is expected to report to the GM Warren Technical Center on a full-time basis. Some internship roles require up to 25% domestic travel.
GM will provide a one-time lump sum taxable stipend payment to eligible students selected for the 2026 Student Program
To help facilitate administration of relocation benefits. Please apply using the permanent address you would move from.
Start dates for this internship role are May & June 2027.
]]>The Smart Collect team builds the platform that determines what vehicle data to collect, validates collection configurations, deploys them across fleets, and monitors the resulting data from vehicle to cloud. We are seeking a Senior Software Engineer to develop the services, integrations, automation, and end-to-end observability that power this platform. Scaling high-quality data collection is essential to enabling autonomous and eyes-off driving. Your work will ensure that data flows reliably from vehicles into our AI/ML and analytics platforms, with strong guarantees around quality, traceability, privacy, and operational excellence. You will collaborate with AI research, data engineering, vehicle engineering, data science, product, data quality, and operations teams to deliver dependable services and intuitive tools that scale across General Motors programs.
What You’ll Do
Design and develop APIs, domain services, event-driven workflows, and vehicle-recording metadata pipelines.
Build services and user experiences for defining collection events and triggers, selecting data, generating and validating configurations, deploying campaigns, and monitoring results.
Design version-aware workflows that reconcile signals, schemas, hardware capabilities, and software compatibility across vehicle platforms.
Improve visibility into campaign health, fleet coverage, recording volume, ingestion latency, and data quality.
Lead technical design and deliver cross-team initiatives involving vehicle recording, fleet management, data platforms, autonomy, privacy, product, and program teams.
Raise the engineering bar through architecture reviews, automated testing, code reviews, technical mentorship, and production support.
Your Skills & Abilities (Required Qualifications)
7+ years of professional software engineering experience, including ownership of production systems.
Bachelor’s degree in Computer Science, Computer Engineering, Electrical Engineering, a related discipline, or equivalent practical experience.
Proficiency in Python or another modern backend programming language.
Strong experience designing scalable backend services, APIs, and relational data models.
Experience with event-driven architectures, asynchronous workflows, data ingestion, testing, debugging, and production operations.
Ability to communicate technical decisions and lead work across organizational boundaries.
What Will Give You a Competitive Edge (Preferred Qualifications)
Experience with PostgreSQL, Kubernetes, Google Cloud (including BigQuery and Pub/Sub), Kafka, observability platforms, or data-quality systems.
Experience with FastAPI, React, or TypeScript.
Experience in autonomous vehicles, robotics, automotive software, embedded systems, or other safety-critical domains.
Familiarity with sensor data, vehicle data collection, fleet management, deployment control planes, or software-version compatibility.
Experience addressing privacy, data governance, resource constraints, or multi-environment deployments.
Compensation: The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of New York, Colorado, California, or Washington
#GM-AV-1
]]>If you are a current employee of General Motors working in a per diem, hourly, or regular salaried role, you must apply through the internal careers page. Please navigate to https://workday.gm.com and search for GM Find Jobs.
The General Motors Manufacturing Group is seeking to identify highly motivated and qualified individuals for current and potential future opportunities as a Group Leader. In anticipation of these openings becoming available, we welcome you to apply so we can begin the pre-screening and interview process.
The Role:
We are seeking a motivated and detail-oriented Entry-Level Group Leader to join our manufacturing team. The Maintenance Group Leader is responsible for supporting maintenance operations through hands-on troubleshooting, repair, and preventative maintenance of manufacturing equipment and processes. This role applies technical knowledge to maintain safe, efficient, and reliable operations while working within the National and Local UAW Agreements. The position operates within the Global Manufacturing Systems framework and supports Safety, People, Quality, Responsiveness, Cost, and Environment (SPQRCE) objectives through collaboration, problem-solving, and continuous improvement.
Selected candidates will gain the chance to develop new skills while contributing to the advancement of manufacturing processes, with opportunities to grow into expanded leadership roles and responsibilities over time.
What You'll Do (Responsibilities):
Analyze and respond promptly to the manufacturing daily plan, making necessary adjustments to operations as required
Manage multiple tasks in a fast-paced environment with competing priorities
Drive accountability through people and processes which may require difficult conversations
Conduct appropriate checks and tests, and communicate evaluation of results
Proactively offers solutions to operational or technical issues
Perform preventative maintenance and diagnosis of equipment malfunctions
Maintains productivity and quality in line with organizational standards
Implement divisional and corporate policies and safety and good housekeeping practices
Maintain frequent contact and collaboration with others outside of the work group
Supervises the efficient use of labor, inventory, and machinery
Establish a course of action to accomplish completion of the job and/or project
Collaborate with the team to identify bottlenecks, prioritize critical jobs, and develop actionable improvement plans; lead implementation efforts
Specific physical requirements of the position include the ability to:
Work in a loud manufacturing environment that may not be climate controlled (conditions can be hot or cold)
Possess good physical stamina and coordination to frequently and repetitively:
Bend, twist, kneel, crouch and reach to perform work
Lift or carry materials weighing up to 15 lbs. and periodically carry or lift materials weighing up to 40 lbs.
Walk and stand for prolonged periods of time
Occasionally sit, climb (including ladders and lifts) and drive vehicles and equipment
Read standardized work instructions, operate machines and tools, and perform quality inspections
Promptly detect and respond to safety instructions, alarms, and signals
Wear personal protective equipment, for example: safety glasses, gloves, hats, ear plugs, and safety shoes
Your Skills and Abilities (Required Qualifications):
Experience solving complex problems and working in a fast-paced environment
Strong interpersonal skills
Demonstrate a high analytical ability to solve complex problems
Basic computer proficiency (i.e., Microsoft Word, typing, email, etc.)
Must be willing to work rotating shifts
Must be available and willing to regularly work weekends to meet production demands, including approximately two weekends per month
18 years of age or older
High School Diploma or equivalent
What Can Give You a Competitive Edge (Preferred Qualifications):
Journeyperson certification or a technical or engineering degree - completed or currently in progress
Strong critical thinking and analytical skills
Experience working on multiple projects simultaneously
Willingness to ask questions, take initiative and be resourceful
High level of integrity, ability to deal with ambiguity, self-directed
Experience collaborating across multiple functions within a manufacturing setting
Experience reading and understanding electrical, pneumatic, and hydraulic blueprints
Compensation:
The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position, as well as geography of the selected candidate.
• The salary range for this role is $53,400.00 and $81,800.00 . The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.
• Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.
Benefits:
• Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.
As a Controls Process Engineer, you will support the development and execution of advanced manufacturing and automation solutions that help bring GM’s vision of Zero Crashes, Zero Emissions and Zero Congestion to life. You will join a high-performing team responsible for delivering industrial controls solutions across new and existing manufacturing programs.
This role is ideal for someone who thrives in a fast-paced environment, enjoys solving complex technical challenges, and is passionate about driving innovation in manufacturing.
Lead controls execution for new and existing manufacturing programs
Support controls and robotics design, equipment build, run-off, buyoff, installation, and launch
Manage project timing, deliverables, and milestones
Troubleshoot and improve electrical controls systems in plant environments
Partner with plants, suppliers, and cross-functional teams to deliver program objectives
Provide project updates to leadership and technical guidance to less experienced engineers
Support validation and implementation of advanced process technologies
Travel as needed to support critical equipment startups
7+ years of experience as a controls and/or robotics engineer
Strong knowledge of electrical and controls systems in a manufacturing environment
Experience with PLC and HMI programming, Ethernet and/or DeviceNet networks
Experience with servo motors, motion control, and drives
Ability to design and troubleshoot electrical controls systems
Experience executing a GM GA or Bodyshop program
Strong project management, problem-solving, communication, and collaboration skills
Ability to manage multiple priorities with a high level of autonomy and accountability
Knowledge of GM’s global controls architecture
Bachelor’s degree in Engineering or equivalent experience and training
Experience in automotive manufacturing
Understanding of plant floor operations
General knowledge of hydraulics and pneumatics
Understanding of GMS and 4 Walls within a site or program
The General Motors Manufacturing Group is seeking to identify highly motivated and qualified individuals for current and potential future opportunities as a Group Leader. In anticipation of these openings becoming available, we welcome you to apply so we can begin the pre-screening and interview process.
Onsite: This role is categorized as onsite. This means the successful candidate is expected to report to Spring Hill, TN on a full-time basis.
The Role:
The Maintenance Group Leader will be responsible for leading a group of skilled, hourly workers to troubleshoot and repair complex equipment and processes. This position requires the ongoing application and enforcement of the National and Local UAW Agreements. Candidates must possess technical expertise to oversee and support maintenance operations, exercising independent judgment within the framework of Global Manufacturing Systems, with a focus on Safety, People, Quality, Responsiveness, Cost, and Environment (SPQRCE)
What You'll Do (Responsibilities):
Specific physical requirements of the position include the ability to:
Your Skills and Abilities (Required Qualifications):
What Can Give You a Competitive Edge (Preferred Qualifications):
As a Senior Software Engineer on the SimCore team, you will build and deploy applied AI/ML solutions that directly support simulation workflows, internal tools, and mission-critical engineering use cases. You will operate at the full spectrum of innovation—from early exploration and rapid prototyping to shipping robust, maintainable production systems.
You will collaborate closely with simulation, scenario-generation, data, and engineering teams to uncover opportunities where AI can create value —then deliver solutions that meet clear customer and business success criteria.
We are looking for a Senior Software Engineer with a strong applied research background. Ideal candidates have hands-on experience with state-of-the-art multimodal GenAI and/or 3D reconstruction models, and excel at building robust, high-performance inference pipelines. This role is not focused on training foundation models, but rather on fine‑tuning, adapting, optimizing, evaluating, and shipping them as production systems.
Minimum Qualifications
Master’s degree required, PhD preferred, in CS, Robotics, EE, or related fields.
5+ years of applied ML/AI engineering experience, with at least 2+ years delivering production AI systems at scale.
VLM and ML world model building this physical model from. Sensor to sensor, and sensor to 3D.
Deep knowledge of at least one modern multimodal or 3D computer vision pipeline (e.g., NeRF, Gaussian Splatting, world models, diffusion-based generation).
Strong programming skills in Python, along with experience using a modern ML/AI library such as PyTorch, TensorFlow, OpenAI APIs, HuggingFace, gsplat, etc.
Solid understanding of ML fundamentals including data preprocessing, training pipelines, evaluation metrics, and model performance optimization.
Ability to move fluidly between research exploration and practical engineering.
Demonstrated ability to lead projects end-to-end with minimal guidance.
Preferred Qualifications
Proven experience fine-tuning and optimizing foundation models (LLMs, VLMs, diffusion, 3D neural models).
Experience integrating models into simulation pipelines, robotics systems, mapping workflows, or AV perception stacks.
Experience with scene understanding, or computational geometry
Background in 3D geometry, graphics, or sensor modeling.
Proficiency with vector search/RAG systems and embedding pipelines.
Familiarity with GCP or other cloud platforms, Kubernetes, Docker, and production observability.
Prior experience mentoring teams, defining architecture, and leading multi-quarter technical initiatives.
Compensation:
The expected base compensation for this role is: $170,600 - $261,300. Actual base compensation within the identified range will vary based on factors relevant to the position.
You also need to include general information about potential commissions, if applicable.
Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.
Benefits:
Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.
What You’ll Do
Your Skills & Abilities (Required Qualifications)
What Can Give You a Competitive Advantage (Preferred Qualifications)
This job may be eligible for relocation benefits.
Compensation:
GM DOES NOT PROVIDE IMMIGRATION-RELATED SPONSORSHIP FOR THIS ROLE. DO NOT APPLY FOR THIS ROLE IF YOU WILL NEED GM IMMIGRATION SPONSORSHIP NOW OR IN THE FUTURE. THIS INCLUDES DIRECT COMPANY SPONSORSHIP, ENTRY OF GM AS THE IMMIGRATION EMPLOYER OF RECORD ON A GOVERNMENT FORM, AND ANY WORK AUTHORIZATION REQUIRING A WRITTEN SUBMISSION OR OTHER IMMIGRATION SUPPORT FROM THE COMPANY (e.g., H-1B, OPT, STEM OPT, CPT, TN, J-1, etc.)
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]]> At General Motors, our product teams are redefining mobility. Through a human-centered design process, we create vehicles and experiences that are designed not just to be seen, but to be felt. We’re turning today’s impossible into tomorrow’s standard —from breakthrough hardware and battery systems to intuitive design, intelligent software, and next-generation safety and entertainment features.
Every day, our products move millions of people as we aim to make driving safer, smarter, and more connected, shaping the future of transportation on a global scale
The Design Release Engineer (DRE) for Customer Controls responsible for leading design release for current and future switch assemblies. The engineer in this role will represent the engineering organization to internal program teams as well as external suppliers.
In this role you will develop engineering solutions to release a final design for production. In the role you will be responsible for a group of customer controls components engineering them for use by multiple vehicle programs, and also work with supplier resident engineers to resolve issues and release of parts. As the Design Release Engineer (DRE), you’ll interact with various departments, supporting Manufacturing and Service Engineers, Product Engineering, Product Launch teams, as well as working with Quality engineers to investigate warranty related issues, and preparation of the owner’s manual. Additionally, you would present design alternatives to management for decision. The role requires a proactive individual who will ensure project timing and part availability.
The role will include:
Develop and design package concept.
Initiate and conduct Design Failure Mode and Effects Analysis (DFMEA).
Prepare and track Engineering Change Work Orders for release documentation and changes.
Develop design alternatives and present them to management for decision.
Develop and track validation test plans
Manage change requests and Issue tracking.
Coordinate design of component with vehicle changes.
Initiate, analyze and revise design if test/ manufacturing/ field problems occur and implement problem resolution.
Required Qualifications & Experience:
Bachelor’s degree in Mechanical Engineering, Electrical Engineering or equivalent
Strong interpersonal skills: ability to work within GM, suppliers, and with program teams
Ability to prioritize and balance multiple activities
Hands-on vehicle working experience
Ability to self-motivate / self-direct
Problem-solving proficiency
Knowledge and experience with design release system and process, manufacturing process, and vehicle validation process.
We encourage interested candidates to review the key responsibilities and qualifications and apply for any positions that match your skills and capabilities.
Design for Six Sigma training and experience
This position requires legally operating a motor vehicle on a daily basis
#LI-SW1
SPONSORSHIP: GM DOES NOT PROVIDE IMMIGRATION-RELATED SPONSORSHIP FOR THIS ROLE. DO NOT APPLY FOR THIS ROLE IF YOU WILL NEED GM IMMIGRATION SPONSORSHIP NOW OR IN THE FUTURE. THIS INCLUDES DIRECT COMPANY SPONSORSHIP, ENTRY OF GM AS THE IMMIGRATION EMPLOYER OF RECORD ON A GOVERNMENT FORM, AND ANY WORK AUTHORIZATION REQUIRING A WRITTEN SUBMISSION OR OTHER IMMIGRATION SUPPORT FROM THE COMPANY (e.g., H-1B, OPT, STEM OPT, CPT, TN, H4 EAD, J-1, etc.)
This job is not eligible for relocation benefits. Any relocation costs would be the responsibility of the selected candidate
Why Join Us
At GM, you’ll be at the forefront of shaping the future of connected, electric, and autonomous vehicles . You’ll work on cutting-edge antenna systems alongside some of the brightest minds in automotive and RF technology — with the resources to make an impact at scale. We offer competitive compensation, growth opportunities, and a culture that values innovation, inclusion, and forward thinking . This is a unique opportunity to lead, innovate, and help millions of customers around the world stay connected on the move .
Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.
Benefits : GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.
Diversity Information
General Motors is committed to being a workplace that is not only free of discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that workforce diversity creates an environment in which our employees can thrive and develop better products for our customers. We understand and embrace the variety through which people gain experiences whether through professional, personal, educational, or volunteer opportunities.
]]>This job may be eligible for relocation benefits.
Onsite: This role is categorized as onsite. This means the successful candidate is expected to report to Tonawanda on a full-time basis.
The Role:
The Industrial Engineer will work directly with Production leadership in implementing Lean Manufacturing systems. The main purpose of the Industrial Engineer is to work to eliminate waste of time, money, materials, person-hours, machine time, energy and other resources that do not generate value. The ability to work in a dynamic, fast-paced manufacturing environment is critical to succeed in this role.
What You'll Do (Responsibilities):
Implement common Industrial Engineering business practices and processes.
Design work operations that meet safety, quality, and efficiency requirements with high integrity.
Maintain accurate time studies through motion analysis and application of standard time data.
Maintain accurate routings of parts to their assembly location.
Maintain accurate workstation layouts using computer aided drafting software (AutoCAD).
Drive Continuous Improvement efforts in assigned area through elimination of waste.
Evaluate bottleneck areas and support throughput and productivity improvements in assigned area.
Support change management projects by developing line balance plans and participating in production trials.
Reduce total cost by improving productivity metrics related to operator work loading and value-added percent.
Participate in lean manufacturing through implementation of GM’s Global Manufacturing System.
Support implementation and training for standardized work development.
Become a coach and teacher of lean manufacturing principles to the production floor team members.
Drive problem solving efforts.
Work collaboratively as one team with all levels of the organization.
Develop relationships with Production department and related personnel.
Your Skills & Abilities (Required Qualifications):
Bachelor’s degree in the field of Engineering (or equivalent) AND 2 years of Industrial Engineering experience.
Experience working in manufacturing with a background in Continuous Improvement.
Experience in documentation of Standardized Work procedures.
Experience in implementation of Lean Manufacturing concepts.
Knowledge of time study and motion analysis.
Working knowledge of computer aided drafting tools (AutoCAD / SolidWorks / Line Designer).
Ability to adapt to different interpersonal styles and communication methods.
Self-motivated individual with Continuous Improvement focus.
Ability to work any shift, OT and weekend shifts.
What Will Give You a Competitive Edge (Preferred Qualifications):
Knowledge of human factors engineering / ergonomic analysis.
Previous experience with project management and time management.
Previous experience working in a Union Environment or Bargaining Unit.
Compensation:
The expected base compensation for this role is: $80,700.00 - $109,400.00. Actual base compensation within the identified range will vary based on factors relevant to the position.
Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.
Benefits:
GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.
The Role
The Engineering Manager, Marketing Technology Platforms leads a team of platform engineers focused on modernizing and scaling key marketing technology capabilities. This role leads team development, cloud migration of core platforms, expansion of marketing activation platforms, and delivery of data pipelines and integrations across the ecosystem.
The ideal candidate brings strong people leadership and hands-on MarTech expertise, including Adobe Campaign Classic, Adobe Experience Platform, Adobe Journey Optimizer, and Databricks. The role requires someone who can coach engineers, guide architecture and delivery decisions, and stay close enough to the work to help unblock complex technical and platform challenges.
What You’ll Do
Lead, coach, and develop a team of platform engineers
Drive migration of core marketing technology platforms to the cloud
Lead expansion of platforms that support marketing activation and customer engagement
Oversee delivery of data ingress, data egress, and platform integration pipelines
Provide technical leadership across Adobe Campaign Classic, Adobe Experience Platform, Adobe Journey Optimizer, and Databricks
Partner with engineering, product, data, marketing, and business stakeholders to align platform work to priorities
Guide architecture, technical direction, and execution across complex platform initiatives
Strengthen reliability, scalability, and operational excellence across the platform space
Help shape the longer-term MarTech platform strategy and technical roadmap
Influence build versus buy, integration, and platform evolution decisions using strong domain expertise
Create clear growth opportunities for engineers through coaching, feedback, stretch work, and role development
Bachelor’s degree in computer science, engineering, information systems, or equivalent practical experience
10+ years of relevant experience
3+ years of experience leading/developing engineering teams in a platform, data, or marketing technology environment
Demonstrated success leading/managing engineers and delivering complex technical initiatives
Experience with data pipelines, integrations, and platform interoperability
Strong cross-functional collaboration and communication skills
What Can Give You a Competitive Advantage (Preferred Qualifications)
Strong MarTech domain expertise
Hands-on knowledge of Adobe Campaign Classic, Adobe Experience Platform, Adobe Journey Optimizer, and Databricks
Experience leading cloud migration efforts for enterprise platforms
Experience in customer, marketing, sales, or activation-focused technology ecosystems
Experience building or overseeing scalable data solutions in Databricks that support marketing use cases, data movement, and platform interoperability
Experience supporting platform transformation or modernization efforts
Ability to balance strategic leadership with hands-on technical engagement
Experience influencing cross-functional decisions and platform direction
This job may be eligible for relocation benefits.
Company Vehicle: Upon successful completion of a motor vehicle report review, you will be eligible to participate in a company vehicle evaluation program, through which you will be assigned a General Motors vehicle to drive and evaluate. Note: program participants are required to purchase/lease a qualifying GM vehicle every four years unless one of a limited number of exceptions applies.
Compensation:
GM DOES NOT PROVIDE IMMIGRATION-RELATED SPONSORSHIP FOR THIS ROLE. DO NOT APPLY FOR THIS ROLE IF YOU WILL NEED GM IMMIGRATION SPONSORSHIP NOW OR IN THE FUTURE. THIS INCLUDES DIRECT COMPANY SPONSORSHIP, ENTRY OF GM AS THE IMMIGRATION EMPLOYER OF RECORD ON A GOVERNMENT FORM, AND ANY WORK AUTHORIZATION REQUIRING A WRITTEN SUBMISSION OR OTHER IMMIGRATION SUPPORT FROM THE COMPANY (e.g., H-1B, OPT, STEM OPT, CPT, TN, J-1, etc.)
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]]>Title: Sr. Sub-System Lead Engineer (SSLE) – Engine & Transmission Controls (ETC)
Job Description:
The Role
An Engine & Transmission Controls Sub-System Lead Engineer (SSLE) develops some of General Motor’s most advanced and exciting mobility features. This dynamic role supports innovative technology development applicable our vast Engine & Transmission portfolio. The Sub-System Lead Engineer (SSLE) is an individual contributor with recognized expertise responsible for tasks and work throughout the entire vehicle development lifecycle including requirements definition, design and implementation, testing, and problem resolution. Agile, systems engineering, requirements and embedded controls development and calibration knowledge are a definite plus. The drive and tenacity to grow technically and professionally while working on some of General Motor’s most exciting features is a must!
Responsibilities
Perform complex sub-system analysis to define functional controls and hardware requirements, including the definition of:
Noise factors (e.g., aging, build variation, environmental, etc.)
Interface mapping (e.g., inputs to outputs)
Actuator and sensor performance requirements
Input to output transfer functions (e.g., latency, overshoot, oscillation, etc.)
Calibration requirements
Regulatory, safety and customer facing interactions (e.g., FE/CO2, DQ, Emissions, NVH, Performance)
Signal/data retention
Leverage physical (e.g., vehicle, bench) and virtual (e.g., models, simulation) to establish and test use cases and acceptance criteria for normal and degraded states of applicable sub-systems
Create and maintain Sub-System Technical Specification (SSTS) documents for applicable subsystems
Create and maintain sub-system specifications in requirements management software (e.g., Doors, Jama Connect, codebeamer, etc.)
Root cause all appliable sub-system related issues and translate solutions into new or revised requirements
Create and maintain Functional Architecture Documents (FADs)/Context Diagrams with the assistance of Global Architecture teams
Lead sub-system level FMEAs and collaborate on System and Component FMEAs
Use Failure Mode and Effect Analysis (FMEA) Integration Tool (FIT) for managing FMEA processes across applicable subsystems
Create and maintain Features, Stories, and/or Change Requests to manage requirements and specifications of sub-systems using change management tools (e.g., IBM Rational Team Concert, Jira, etc.)
Collaborate with Controls and Software Engineers to review software implementation ensuring compliance with requirements
Review Owner’s Manual and Service Information related to the applicable sub-system
Provide guidance and input for feature design verification plan by working with System and/or Feature Owners and Validation Engineers
Maintain open requirements issue list and review, track, and report on progress and status
Support advanced technical work projects that drive future features and vehicle enhancements
Additional Job Description:
Requirements
Bachelor’s Degree in Electrical, Mechanical or related engineering discipline
Minimum of 6+ years of experience in the field of expertise
Strong analytical problem-solving skills, including independent judgment and decision-making skills, where problems are very unusual and extremely difficult
Demonstrated communication and interpersonal skills required to build relationships with team members and customers to solve problems and resolve issues
Physics-based understanding of the Voice-of-Customer
Ability to effectively communicate issues, status and recommendations to leadership
Proven ability in project management skills and ability to teach others
Ability to prioritize work with only limited direction from manager
Desired Skills
Masters or PhD in Engineering with an emphasis on Controls
Experience related to specifying physics of dynamic electromechanical systems (e.g., Brakes, Chassis, Suspension, Electrification, Engine, Transmission, Thermal, etc.)
Experience with calibration, software, and controls development
Experience leveraging simulation environments and plant modeling for testing or requirements generation is a plus (e.g., Matlab/Simulink, CarSim, GT-Power, D-Space, ETAS, etc.)
Experience with requirements management tools (e.g., Doors, Jama Connect, codebeamer, etc.)
Experience with change management tools (e.g., IBM Rational Team Concert, Jira, etc.)
Experience with OBD regulations requirements
Experience with safety critical systems
#LI-SW1
SPONSORSHIP: GM DOES NOT PROVIDE IMMIGRATION-RELATED SPONSORSHIP FOR THIS ROLE. DO NOT APPLY FOR THIS ROLE IF YOU WILL NEED GM IMMIGRATION SPONSORSHIP NOW OR IN THE FUTURE. THIS INCLUDES DIRECT COMPANY SPONSORSHIP, ENTRY OF GM AS THE IMMIGRATION EMPLOYER OF RECORD ON A GOVERNMENT FORM, AND ANY WORK AUTHORIZATION REQUIRING A WRITTEN SUBMISSION OR OTHER IMMIGRATION SUPPORT FROM THE COMPANY (e.g., H-1B, OPT, STEM OPT, CPT, TN, H4 EAD, J-1, etc.)
This job is not eligible for relocation benefits. Any relocation costs would be the responsibility of the selected candidate
Why Join Us
At GM, you’ll be at the forefront of shaping the future of connected, electric, and autonomous vehicles . You’ll work on cutting-edge antenna systems alongside some of the brightest minds in automotive and RF technology — with the resources to make an impact at scale. We offer competitive compensation, growth opportunities, and a culture that values innovation, inclusion, and forward thinking . This is a unique opportunity to lead, innovate, and help millions of customers around the world stay connected on the move .
Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.
Benefits : GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.
Diversity Information
General Motors is committed to being a workplace that is not only free of discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that workforce diversity creates an environment in which our employees can thrive and develop better products for our customers. We understand and embrace the variety through which people gain experiences whether through professional, personal, educational, or volunteer opportunities.
We encourage interested candidates to review the key responsibilities and qualifications and apply for any positions that match your skills and capabilities
]]>The Resident Product Engineer supports production operations by representing Design and Product Engineering at Engine, Transmission, RESS, or Drive Unit manufacturing locations.
What You’ll Do (Responsibilities):
Function as the focal point for communicating product/process related issues between Product Engineering, Product Teams and Manufacturing Plant personnel
Lead resolution of component, subsystem, and assembly issues within the plant which are related to product engineering design and/or specifications
Lead activities to root cause and address warranty issues in conjunction with the site quality engineering group
Lead activities to root cause and address material scrap issues through assessment of material on quality hold and establishment of salvage, repair, and/or rework procedures as applicable
Feed back learnings from TWOs and quality issues to DREs and Technical Specialists with focus on strengthening BOD/BOM through personal input of DFM/DFA experience.
Support the introduction and launch of new designs and design change requests into production through PTRs, ETRs, SPCRs, plant readiness reviews, and change management
Engage with Plant Floor Change Management (PFCM) requests to assess manufacturing changes which could impact the quality or functionality of product hardware
Support the release of BOD/BOM compliant designs within the plant
Support planning, build programs, and execution of pilot, preproduction and prototype build activity
Support the product team through participation in standard meetings such as PRT, PET, PAPIR, CPIT, DSE, and Plant Quality Team meetings
Support processes within and across HRC and system engineers to communicate/document component and system issues as well as best practices
Engage and inform Plant personnel regarding product function and requirements
Support plant BIQ activities and continuous quality improvement
Domestic travel - up to 5%
Your Skills & Abilities (Required Qualifications):
Bachelor of Science Degree in Engineering
5+ years of transmission design-release-validation-quality experience is required.
Comprehensive understanding of product engineering processes and tools such as Engineering Change Management, GPDP, PRTS-JIRA, DFMEA/PFMEA, QDAP, P-release, PPAP, TWOs, etc.
Comprehensive understanding of Design, Development & Validation activities for Engine/Transmission/RESS/Drive Unit
Knowledge of engineering theory and operating principles of Energy Conversion Systems
High level of oral & written communication skills and the ability to work in a fast-paced environment with colleagues locally and at remote sites
High level of interpersonal skills to work effectively within a team environment and with all levels of the organization
High level of analytical problem-solving skills in a production environment where problems are very unusual and extremely difficult.
Willingness to travel as required
What Can Give You a Competitive Edge (Preferred Qualifications):
Advanced Degree in Engineering or Business
Multiple DRE assignments in various PMT’s with successful individual and team-based achievements
Cross functional experiences in areas such as Calibration, Validation, Analysis, etc.
Manufacturing experience in casting, machining and assembly
Red X / DFSS certification
Work Arrangement: Hybrid; This means the selected candidate is expected to report to a specific location at least 3 times a week {or other frequency dictated by their manager}.
The Role:
Medical Directors are responsible for either leadership and management of multiple Health Centers/complexes, or one or more global medical operations or programs. Other responsibilities include; personnel development, business integration, maintaining union interface, providing medical expertise and assuring the delivery of quality occupational medical services
What You'll Do:
Leadership and management of Health Center Personnel (Physicians) or program management Personnel development Medical compliance and regulatory oversight Integrate with business partners including providing senior physician expertise to individuals and the organization Strategic review and planning Maintain union interface Provide occupational physician expertise
Your Skills & Abilities (Required Qualifications):
Education and Training - Physician
This job may be eligible for relocation benefit
]]>The Materials & Manufacturing Systems Research Lab at the General Motors R&D Center located in Warren, Michigan is seeking a technically exceptional AI/ML Senior Researcher with world class, Artificial Intelligence (AI), Machine Learning (ML), Large Language Models (LLMs), World Models, and Agentic AI skills to perform leading edge research in the area of Smart Manufacturing Systems.
This is an exciting growth area at GM R&D where researchers will be part of a dynamic team focused on improving GM’s advanced manufacturing capabilities. Assignments will vary depending on background, but they will be expected to provide immediate technical and professional leadership in assignments to identify, define, and develop future strategic applications of AI into GM’s future factory operations.
Researchers are also expected to counsel GM engineering management on manufacturing engineering process, practice and tool improvements, as well as carry out leadership roles in GM programs and/or projects. They will likely represent GM in a variety of research activities with contractors and academic collaborators, and at other GM Centers, and external agencies and technical organizations. In addition, researchers are expected to develop a strong record of invention, publishing and presenting.
The specific research focus of the Smart Manufacturing Research Group is to develop advanced AI/ML, Agentic AI, mathematical modeling and optimization approaches and build real-time, decision support tools that enable GM’s plants to meet efficiency and quality goals. In this role, you will work hands-on to architect, build, deploy, and scale AI/ML models, agents, agentic systems that address complex manufacturing engineering and operations challenges. The ideal candidate is comfortable developing production-grade AI/ML solutions, evaluating emerging technologies, and engaging senior leaders in clear, actionable discussions on strategy, roadmap, and business impact. A background in manufacturing systems and process design, smart manufacturing, digital twins, simulation, statistics, quality management, control systems and machine vision would also be highly desirable. Experience with production operations is a plus.
More About Who You Are
What You Need
What Would Be Even Better
Role Overview
As a Senior Software Engineer - Networking in the AV (Autonomous Vehicle) Core Infrastructure organization, you will build and maintain software systems that automate, manage, and operate the secure hybrid network fabric supporting the global AV development pipeline. You will combine strong networking expertise with production software engineering skills to enable reliable, high-performance movement of sensor and validation data between on-premises environments and Google Cloud Platform (GCP).
This is primarily a software development role, not a network operations role focused on scripting or manual device configuration. You will design, build, test, deploy, and operate production network services in Go and Python. You will apply software engineering, distributed systems, and Site Reliability Engineering (SRE) practices to reduce configuration drift and manual operations across the network supporting GM's Vehicle Autonomy mission.
Key Responsibilities
Network Software Systems
Design, build, test, deploy, and maintain production network services and automation using Go, Python, and modern software engineering practices.
Develop APIs, controllers, integrations, and tools that automate network provisioning, configuration, validation, and lifecycle management.
Apply distributed systems principles, API design, concurrency, automated testing, and safe rollout strategies to network infrastructure.
Advance Network as Code practices by ensuring network changes are version-controlled, peer-reviewed, tested, and deployed through CI/CD workflows.
Define, monitor, and improve Service Level Objectives (SLOs) for network services, including availability, latency, throughput, and change reliability.
Apply SRE principles to reduce operational toil, configuration drift, and recurring failure modes.
Build telemetry and observability capabilities that provide actionable insight into hybrid connectivity and network-service health.
Hybrid Network Architecture & Strategy
Contribute to the design and evolution of the network connecting on-premises data centers, validation environments, test facilities, and GCP.
Design secure, scalable, and multi-tenant network solutions that protect sensitive AV data while enabling high-performance access for developer tools, automated build systems, and compute workloads.
Develop reusable Infrastructure as Code modules and self-service capabilities for engineers and researchers.
Partner with network, cloud, security, and platform teams to translate architectural requirements into reliable software and automated workflows.
Provide technical leadership on complex projects and mentor other engineers while remaining a hands-on individual contributor.
Data Ingestion & On-Prem Validation Connectivity
Optimize end-to-end network paths from hardware ingestion points through secure hybrid connectivity and into cloud storage and compute environments.
Support the low-latency, high-throughput, and highly available connectivity required by validation environments and hardware-in-the-loop (HIL) simulations.
Collaborate with hardware systems, cloud infrastructure, and platform engineering teams to integrate validation worker pools with cloud-native infrastructure and services.
Build automation and operational safeguards that make high-volume data movement reliable, observable, and recoverable.
Security, Performance & Reliability
Implement secure network-service patterns, including least-privilege access, segmentation, encryption in transit, and automated policy enforcement.
Use performance testing, telemetry, and capacity planning to maintain the throughput and reliability required by AV development workloads.
Participate in an on-call rotation and incident response for network services and hybrid connectivity.
Diagnose complex failures using logs, metrics, traces, packet captures, and network telemetry across application, host, network, and cloud layers.
Lead or contribute to blameless incident reviews and implement corrective actions that prevent recurrence.
Manage error budgets and balance delivery velocity with service reliability.
Technical Domain Knowledge
Strong software development experience building and operating production services in Go, Python, or comparable modern programming languages.
Experience with distributed systems, software design, APIs, concurrency, automated testing, code review, CI/CD, debugging, and production operations.
Strong Linux systems knowledge and an understanding of how applications interact with host and network resources.
Strong networking fundamentals, including routing, switching, TCP/IP, DNS, data center networking, and BGP.
Hands-on experience with GCP networking, such as VPCs, Shared VPCs, routing, firewall policies, load balancing, and hybrid connectivity.
Experience with infrastructure automation and configuration management using tools such as Terraform or Ansible.
Experience with cloud-native platforms such as Kubernetes and with continuous or GitOps-based delivery workflows.
Familiarity with observability and telemetry technologies such as Prometheus, Grafana, Telegraf, or centralized logging platforms.
Qualifications
Proven experience building and operating production network software and automation.
Strong networking, software engineering, Linux, and cloud infrastructure skills.
Experience with on-call support and incident response.
Ability to lead projects and mentor engineers as a senior individual contributor.
Bachelor's degree in a related field, or equivalent practical experience, preferred.
5+ years of relevant software, networking, or SRE experience preferred.
Professional networking or cloud certification preferred.
Experience with large-scale networks, SRE practices, high-throughput data systems, EVPN, or VXLAN is a plus.
Compensation: The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of New York, Colorado, California, or Washington.
The salary range for this role: is $172,000 to $300,000. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.
Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.
Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.
As a Senior Global Sourcing Manager, you will be responsible for sourcing Technology purchases (Software, Software as a Service, Infrastructure) on a regional and global basis. You will be responsible for developing, negotiating and implementing sourcing strategies by working with key stakeholders on technology requirements, IT, security and legal, which then requires preparing and completing sourcing recommendations to various levels of management. In this role, you will be responsible for managing GM’s cloud service providers.
What You’ll Do
Your Skills & Abilities (Required Qualifications)
What Can Give You a Competitive Edge (Preferred Qualifications)
Role: The Smart Agents group is responsible for building the ML models and system to simulate road users in a variety of situations and generate the scenarios used for testing and training AV driving policies. If you think of Simulation as a video game our autonomous vehicles train on to learn to drive, the Smart Agents team develops the ML/AI models that control the other characters in the video game to interact in realistic ways as the av drives-eg, the other vehicles, bikers, and pedestrians. Our technology stack includes Generative AI models (GPT) and Reinforcement Learning (RL) policies. The Smart Agents group work closely with the rest of the Simulation, and our partners Behaviors, Perception, and Safety Engineers.
The specific duties may include ML/RL model development as well as training loop development, streamlining optimization, integration, creating ML infrastructure, metrics, and data pipelines for production model deployment as well as for fast experimentation cycles.
What You'll Do:
Support the team in developing machine learning (ML) and reinforcement learning (RL) models, including training loop development and optimization.
Streamline integration and create ML infrastructure, metrics, and data pipelines for production model deployment and rapid experimentation.
Work as part of an ML team and contribute strong software engineering (SWE) expertise.
Support the ML team in accelerating project timelines, particularly in areas related to Autopilot, Lane Keep, and autonomous vehicle (AV) technologies.
Experience in simulation and robotics is highly desirable, with a preference for candidates from AV or robotics backgrounds rather than solely cloud-focused companies.
Your Skills & Abilities:
4+ years of experience in the field of robotics or latency-sensitive backend services
Background working with machine learning teams, algorithms, and models
Bonus: Experience building highly performant ML and system pipelines
Strong programming skills in modern C++ or Python
Bonus:
Experience with profiling CPU and/or GPU software, process scheduling, and prioritization
Passionate about self-driving car technology and its impact on the world
Expertise in setting architectures that are scalable, efficient, fault-tolerant, and are easily extensible allowing for changes overtime without major disruptions.
Ability to design across multiple systems. Ability to both investigate in sophisticated areas as well as a good breadth of understanding of systems outside of your domain.
Ability to wear several hats shifting between coding, design, technical strategy, and mentorship combined with excellent judgment on when to switch contexts to meet the greatest need.
Track record in deploying perception/prediction/av models into real world environments
Your Skills & Abilities:
4+ years of experience in the field of robotics or latency-sensitive backend services
Proven experience in machine learning and classification. Familiar with ML frameworks such as Tensorflow or PyTorch
Experience building highly performant ML and system pipelines
Strong programming skills in modern C++ or Python
Experience with profiling CPU and/or GPU software, process scheduling, and prioritization
Passionate about self-driving car technology and its impact on the world
Expertise in setting architectures that are scalable, efficient, fault-tolerant, and are easily extensible allowing for changes overtime without major disruptions.
Ability to design across multiple systems. Ability to both investigate in sophisticated areas as well as a good breadth of understanding of systems outside of your domain.
Ability to wear several hats shifting between coding, design, technical strategy, and mentorship combined with excellent judgment on when to switch contexts to meet the greatest need.
Track record in deploying perception/prediction/av models into real world environments
Experience working with RL and sequence prediction (ML) models
Compensation : The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of New York, Colorado, California, or Washington.
The salary range for this role is $134,000 to $235,900. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.
Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.
Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.
Remote: This role is based remotely but if you live within a 50-mile radius of Atlanta, Austin, Detroit, Warren, Milford or Mountain View, you are expected to report to that location three times a week, at minimum.
Relocation: This job may be eligible for relocation benefits.
#GM-AV-1
What You’ll do:
Your Skills & Abilities (Required Qualifications)
What Will Give You a Competitive Edge (Preferred Skills)
Compensation: The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position, as well as geography of the selected candidate.
• The salary range for this role is (159,400 - 245,000). The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.
• Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.
Benefits:
• Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.
#LI-JK3
]]>Hardware Engineers are a professional responsible for leading the development and design of electrical hardware. The role of the hardware engineer involves various key responsibilities: component requirements development, component design, component validation.
This Virtual DRE role offers the selected candidate the opportunity to be a part of a team releasing game-changing Electric Power (EP) technologies and controls strategies enabling cost effective and power efficient systems delivering improved Power capabilities and enhanced diagnostics to support GM’s Zero, Zero, Zero vision for the future. Must be very organized, have strong program management and problem solving skills
General Motors is accelerating the development of virtual simulation technologies for future GM vehicles, and we are looking for a highly innovative, data driven person who works well in a team setting, This person needs to be able to work with sufficient understanding of industry technology trends, solid technical knowledge, critical reasoning, simulation technical skills, and a structured approach to solving problems in both familiar and unfamiliar domains.
Selected candidate will focus on the design release of virtual and/or actual hardware providing an innovative diagnoseable power delivery system.
Key Responsibilities
Establish domain expertise to develop and maintain requirements, use cases, and virtual scenarios for Electric Power systems, incorporating lessons learned and ensuring robust virtual integration.
Establish and track quality, performance, and validation requirements across component, subsystem, and vehicle levels.
Define and execute traceable validation methodologies including analysis tests for integration, subsystem, and full vehicle use cases.
Design, implement, and approve simulation solutions (component and subsystem level) using tools such as 3D ANSYS, Sherlock, CFD, FEA, and 1D Saber, Simulink, matlab, pspice, or other pcb analysis system models.
Develop standardized methods and models to execute assigned analysis projects.
Establish, document, and maintain common CAE methods and requirements through continuous improvement and development of new analysis capabilities.
Perform correlation studies between simulation and physical test data; conduct root cause analysis utilizing simulation.
Execute simulation test cases, root cause, generate reports, and support cross-functional virtual validation, including packaging and performance analysis.
Develop standardized CAE methods and continuously improve modeling capabilities.
Proactively lead design optimization, benchmarking, trade studies, problem solving investigations, and innovation initiatives for improved performance, warranty reduction, launch excellence, and vehicle integration utilizing data driven methods.
Lead and support issue resolution including supplier, test, and warranty-related concerns.
Collaborate with test teams to replicate failures and develop virtual scenarios for design improvements.
Provide recommendations for product and process enhancements based on analysis insights.
Lead Product Development Team (PDT) activities for virtual model delivery aligned with program timing and quality targets and driving robust engineering solutions.
Manage virtual development projects, status project and validation progress, and present updates to leadership.
Ensure execution of quality deliverables including virtual test reports, timing plans, DFMEA, DRBFM, and supplier reviews.
Collaborate with global engineering teams, suppliers, and stakeholders across development and launch phases for successful simluations to drive design milestone readiness
Mentor team members and contribute to capability build-up within the Electric Power domain.
Support SMEs on the development of new Roadmap solutions
Travel as required
Your Skills & Abilities (Required Qualifications)
Degree majoring in computer science, chemistry, automation, electronics and electrical or mechanical engineering.
3+ years experience in automotive or computer aided engineering field
Proficient in using Matlab or C++/Python programming;
Experience in using simulation software such as CarSim and Prescan, Saber, Simulink, synopsys (ANSYS), Sherlock, CFD, FEA, SPICE, MathCAD, or experience in general simulation testing (MIL, SIL, HIL, VIL, etc.)
Experience with DNG, FMEAs and high quality requirement development
Good analytical ability where problems are unusual and complex.
Proactive study sense, Structural and forward thinking, team work spirit.
Good interpersonal skills to work effectively with others.
Excellent oral and written communication skills in English.
Have a serious and responsible work attitude.
What Will Give You A Competitive Edge (Preferred Qualifications)
Knowledge of Agile or SAFe
Simulation experience
Release experience
#LI-SW1
This job is not eligible for relocation benefits. Any relocation costs would be the responsibility of the selected candidate
Why Join Us
At GM, you’ll be at the forefront of shaping the future of connected, electric, and autonomous vehicles . You’ll work on cutting-edge antenna systems alongside some of the brightest minds in automotive and RF technology — with the resources to make an impact at scale. We offer competitive compensation, growth opportunities, and a culture that values innovation, inclusion, and forward thinking . This is a unique opportunity to lead, innovate, and help millions of customers around the world stay connected on the move .
Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.
Benefits : GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.
Diversity Information
General Motors is committed to being a workplace that is not only free of discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that workforce diversity creates an environment in which our employees can thrive and develop better products for our customers. We understand and embrace the variety through which people gain experiences whether through professional, personal, educational, or volunteer opportunities.
We encourage interested candidates to review the key responsibilities and qualifications and apply for any positions that match your skills and capabilities.
]]>REQUIREMENTS : Bachelor's degree in Computer Science or related field of study and Eight years of experience as a Software Engineer, Backend Engineer, Computer Analyst, or related occupation. Eight (8) years of experience with: Backend development; Cloud infrastructure; System Integrations; CI/CD Setup & maintenance; Python; Node.js; Public & private cloud integrations; Azure; Terraform; Docker; Kubernetes; and Github. One (1) year of experience with: Salesforce.
Compensation :
• The expected base compensation for this role is $264,514.00 to $269,100.00 Annually.
• Actual base compensation within the identified range will vary based on factors relevant to the position.
• Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.
#LI-DNI
]]>The General Motors Manufacturing Group is seeking to identify highly motivated and qualified individuals for current and potential future opportunities as a Group Leader. In anticipation of these openings becoming available, we welcome you to apply so we can begin the pre-screening and interview process.
Onsite: This role is categorized as onsite. This means the successful candidate is expected to report to Bedford, Indiana on a full-time basis.
The Role:
The Maintenance Group Leader will be responsible for leading a group of skilled, hourly workers to troubleshoot and repair complex equipment and processes. This position requires the ongoing application and enforcement of the National and Local UAW Agreements. Candidates must possess technical expertise to oversee and support maintenance operations, exercising independent judgment within the framework of Global Manufacturing Systems, with a focus on Safety, People, Quality, Responsiveness, Cost, and Environment (SPQRCE)
Selected candidates will gain the chance to develop new skills while contributing to the advancement of manufacturing processes that support the groundbreaking shift toward electric and autonomous vehicles.
What You'll Do (Responsibilities):
Specific physical requirements of the position include the ability to:
Your Skills and Abilities (Required Qualifications):
What Can Give You a Competitive Edge (Preferred Qualifications):
Hybrid: This role is categorized as hybrid. This means the successful candidate is expected to report to Mountain View, CA, Warren, MI, or Austin, TX three times per week.
The Physical and Virtual Tests Platform organisation at GM is building a cloud-native platform that transforms physical automotive test hardware into cloud-native compute resources. This platform enables developers to discover, provision, and execute workloads on automotive benches with the same ease as cloud computing. As a Staff Systems Engineer, you will be the bridge between the platform and the hardware it manages -- building integration tooling, hardware discovery services, provisioning workflows, and agent software in Go that connects diverse automotive test equipment to the platform's control plane. This is not a pure embedded development role. You will use your understanding of embedded systems, hardware interfaces, and low-level protocols to inform the design of platform services and tooling that abstract hardware complexity for hundreds of developers. You will work closely with both embedded engineering teams and platform engineers, translating between their worlds and shaping the features that make the platform genuinely useful for teams working with physical hardware. This is a hands-on technical leadership role on a small, greenfield team where your decisions will directly shape how the platform interacts with automotive hardware at scale. If you are excited about turning deep systems knowledge into platform services and developer tooling that transforms how engineers access and use test infrastructure, this role offers the opportunity to define that layer from scratch.
Design and build integration tooling and agent services in Go that connect automotive test hardware to the platform's cloud-native control plane, enabling automated hardware discovery, state reporting, and lifecycle management.
Develop provisioning workflows that coordinate firmware flashing, health checks, power cycling, and resource validation across diverse bench configurations, working with existing vendor tools and automotive protocols.
Engage with embedded engineering teams and bench users to understand their hardware workflows, identify pain points, and translate those findings into platform features and automation tooling.
Build hardware abstraction layers that present heterogeneous bench hardware (varying ECU configurations, communication interfaces, firmware versions) as clean, allocatable resources to the platform's scheduler and API.
Contribute to core platform services in Go including the API, scheduler, and CLI tooling, bringing a hardware-aware perspective to architecture and design decisions.
Develop and maintain CI/CD pipelines for firmware build automation, integration testing, and deployment workflows that span both platform services and hardware-facing components.
Document hardware integration patterns, protocol quirks, and operational knowledge to build institutional understanding across the team.
Collaborate with stakeholders across Infrastructure Engineering, Quality Engineering, and Hardware Infrastructure to define integration requirements, validate platform capabilities against real-world bench workflows, and drive adoption.
Work with tools and technologies including Go, PostgreSQL, Nomad, Consul, Linux system interfaces, automotive communication protocols (CAN, Ethernet, serial), CI/CD pipelines, observability frameworks (Prometheus, Grafana, Datadog), and Git/GitHub.
Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, or related field, or equivalent work experience.
8+ years of software engineering experience with a strong foundation in systems-level programming and infrastructure development.
Strong proficiency in Go, with the ability to write clean, maintainable production code for backend services and systems tooling.
Solid understanding of Linux systems including system interfaces, process management, networking, and service management (systemd).
Experience building integration tooling, agent services, or automation frameworks that bridge hardware and software systems.
Familiarity with embedded systems concepts including firmware management, boot processes, hardware interfaces (CAN, SPI, I2C, UART, Ethernet), and device lifecycle management.
Experience with CI/CD pipelines, build automation, and deployment workflows for systems that include hardware-in-the-loop or physical device dependencies.
Strong troubleshooting skills across hardware, software, and integration layers with a systematic debugging methodology.
Ability to work across team boundaries, engage with stakeholders who have different technical vocabularies, and translate hardware requirements into platform features.
Strong communication and documentation skills with the ability to capture and share integration knowledge across teams.
Ownership mentality and comfort working on a small, greenfield team where everyone contributes across the stack.
Experience building platforms, tooling, or services that manage physical hardware as allocatable resources (IaaS, lab automation, test infrastructure, fleet management).
Background in automotive software development, ECU integration, or hardware-in-the-loop testing environments.
Hands-on experience with automotive communication protocols such as CAN, LIN, DoIP, or UDS in a development or integration context.
Experience with embedded Linux distributions (Yocto, Buildroot), device trees, or kernel-level configuration for hardware bring-up.
Familiarity with HashiCorp stack (Nomad, Consul, Vault) for orchestration, service discovery, and secrets management.
Experience developing Nomad device plugins or similar resource abstraction mechanisms for orchestration platforms.
Understanding of firmware update mechanisms (OTA, flashing tools) and hardware provisioning workflows.
Experience with observability stacks including Prometheus, Grafana, Datadog, distributed tracing, and structured logging.
Background in lab automation, hardware validation, or test infrastructure engineering.
Experience migrating from legacy infrastructure to modern platforms whilst maintaining service reliability and business continuity.
Track record of mentoring engineers and influencing technical direction across teams.
Additional Data:
This job may be eligible for relocation benefits.
GM does not provide immigration-related sponsorship for this role. Do not apply for this role if you will need GM immigration sponsorship now or in the future. This includes direct company sponsorship, entry of GM as the immigration employer of record on a government form, and any work authorization requiring a written submission or other immigration support from the company (e.g., H1-B, OPT, STEM OPT, CPT, TN, J-1, etc.)
Compensation : The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of New York, Colorado, California, or Washington.
Benefits:
As a Senior Creative Designer at GM, you will be part of a larger, connected, global design team working on forward-thinking, extraordinary elements in production design. We are looking for someone who thrives in a team environment and displays a strong ability to manage multiple tasks and timelines. We need someone with a considerable amount of perception, design taste, judgment and creativity as well as ahigh level of skill, accuracy, and coordination.
Your role will be to see the future - researching, designing and creating proposals that demonstrate innovative concepts, from inception to implementation, for automotive and mobility applications. You will create fresh, innovative designs with customer experience in mind for interiors for GM brands. Through the lens of brand strategy, you will generate concepts in both 2D and 3D proposals. You will adeptly refine ideas as you receive feedback. You will coordinate the work of other design personnel and collaborate with multiple partners to achieve design goals. You will follow design process from the sketch form to the final release clay model.
If you are driven and eager to propel your career forward, take your next step in joining a world class design studio at General Motors!
What You'll Do:
Lead a design team to develop bold interior designs that support brand goals and enhance customer experience. The role
requires strong design judgment, creativity, and attention to detail.
Translate ideas into finished designs using 2D sketches, animations [Ai], 3D sketch tools, and close collaboration with clay and
digital sculpting teams.
Collaborate frequently with the design team, sculpting organization, engineering and fabrication teams in the development of
new designs.
Provide insight and recommendations to leadership while possessing willingness and acuity to act upon guidance in a
deadline driven environment.
Maintain knowledge of current design trends and technology. Present ideas frequently to management and leadership to
communicate design ideas.
Exhibit courage and challenge expectations.
Your Skills & Abilities (Required Qualifications):
Minimum 5 years of experience in an OEM design studio.
Bachelor’s Degree in Design (Automotive, Transportation, Industrial…).
Strong understanding of form, 2-D to 3-D interpretation, and ability to visualize.
Creativity, independence, Autonomy, Problem solving, design judgment, team spirit, volume understanding.
Ability to work independently and lead a team as well as provide mentoring.
For your portfolio; several series of sketches and ideations, production program experience samples.
#LI-VC1
]]>REQUIREMENTS: Bachelor's degree in Information Technology, Electrical Engineering, Computer Engineering, Computer Science, Electronics, or related field of study and Five (5) years of experience as a Software Engineer, Salesforce Developer, or related occupation. Five (5) years of experience with: Programming and configuring with Force.com Apex (classes and triggers), Lightning Components, Lightning Web Components, Visualforce, Flows, Omni Script, Flex Cards, JavaScript (ES6), and ReactJS; Designing and developing large scale technology solutions with substantial insights into Salesforce Sales Cloud, Service Cloud, and Communities; Object Oriented (OO) design patterns; Salesforce Lightning UI Understanding of various user-based security models; Database concepts and data modeling design; and Modeling and application design and architecture.
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]]>Role Overview:
The Solutions Enablement team aims to build effective, scalable, and cohesive HR solutions that minimize redundancy and deliver seamless data and insights for a better end-user experience. We partner with Centers of Excellence (COEs), such as Total Rewards, Global Talent, Talent Acquisition, and Corporate Citizenship, to address business needs and provide harmonized technology, tools, and data that help COEs maximize their impact at GM.
The Solutions Consultant is a strategic partner responsible for driving the design, build, and rollout of integrated solutions that enable business outcomes. This role proactively identifies and shapes solution opportunities and ensures seamless delivery in partnership with the IT, Analytics, and other stakeholders.
The ideal candidate will have a solid understanding of HR in large, global organizations and demonstrate deep empathy for COE complexity and demands. They will also be passionate about delivering user-centric, data-informed solutions that drive enterprise value.
Key Responsibilities:
COE Partnership & Functional Expertise
Build strong relationships and deep understanding of assigned COEs’ priorities, processes, and pain points
Serve as a trusted advisor to COE leaders
Meet regularly with COE contacts to stay aligned on needs and priorities
Translate business needs into clear, outcome-driven problem statements and prioritized use cases
Propose solution options that balance COE needs with enterprise scale and cohesion
Develop and maintain a solutions roadmap for each COE, facilitating regular reviews (e.g., MBRs, Operating Reviews) for ongoing prioritization
Facilitate the development of go-to-market strategies for new solutions by ensuring robust rollout and adoption plans and supporting their buildouts, in partnership with the COEs
Drive integration and cohesion across HR offerings, in line with enterprise tech strategy
Solution Buildout & Rollout
Lead the end-to-end solution buildout and rollout process, ensuring cross-functional alignment (HR, Purchasing, IT, Finance) and timely delivery
Facilitate solutioning with Enablement teams, internal tech teams, data partners, and external vendors
Oversee development and delivery plans for new solution launches
Diagram the COE tech stack, including key integration points and data flows/storage
Partner with IT and relevant teams to ensure smooth handoff and execution
Ensure solutions are designed for user-centricity, scalability, and integration
Sourcing, Procurement & Vendor Management
Lead the sourcing and procurement process for HR solutions, partnering with COE, IT, and Purchasing
Manage vendor relationships, including evaluation, onboarding, and ongoing performance
Ensure solution requirements are clearly documented in business requirement documents (BRDs) and statements of work (SOWs)
Support the development and use of evaluation matrices/scorecards for solution selection
Measurement & Continuous Improvement
Identify and drive opportunities for continuous improvement based on data and insights, in partnership with People Analytics
Support COE with defining and tracking key success metrics for solution adoption and business impact
Gather feedback from COEs and end users to inform enhancements
Key Qualifications:
Bachelor’s degree in human resources, business, information systems, or related field
5+ years of experience in HR, HR technology, or business process consulting
Demonstrated ability to build strong partnerships and influence across functions
Experience leading solution design, rollout, and vendor management in a complex, matrixed environment
Strong analytical, problem-solving, and project management skills
Excellent communication, facilitation, and change management skills
Familiarity with HR tech stacks, integration concepts, and data flows preferred
Work Arrangement:
This role is categorized as hybrid. This means the successful candidate is expected to report to the office four times per week or other frequency dictated by the business.
What You’ll Do
Perform Electrocoat thickness prediction, Fluid Access & Drainage study and Oven bake simulation studies
Perform special simulation studies like Flow Behavior Analysis for chronic process problems in paint shops
Provide and implement continuous process improvement ideas within the team
Collaborate with stakeholders to understand business challenges in the CFD space and solve them using API based customization and AI methodologies.
Stay updated on advancements in neural networks, multi-physics simulations, surrogate modelling and physics-informed learning techniques.
Achieve KPI metrics like 100% First Time Quality, 100% On time delivery
Represent paint simulation in the appropriate forums. Participate in global product development council & technical team meetings
Sound knowledge in StarCCM+ / ALSIM, Teamcenter, AutoCAD, MS Office applications.
Sound knowledge in any of the CAE/FEA tools Hypermesh 2025, ANSA etc.
Your Skills & Abilities (Required Qualifications)
Bachelor’s degree in Mechanical / Aeronautical/ Chemical/ Automobile Engineering discipline with a Specialization in Thermal Engineering preferred.
6+ years of Paint process & simulation experience from Automotive OEMs / Engineering Organizations.
Good knowledge of fluid mechanics, heat transfer and computational fluid dynamics concepts.
Experience in data handling (large-scale CFD datasets) and feature engineering(feature extraction from flow fields like velocity, pressure, turbulence quantities).
Good knowledge of complete automotive paint shop processes, materials and facilities preferred
Good knowledge in AI technologies & algorithms. Experience with ML frameworks like Pytorch, TensorFlow preferred
Good understanding of the GVDP, GLP, Quality Chain, DFMEA-PFMEA preferred
Sound knowledge of OpEx tools, Six sigma and Red X methodologies
Knowledge of surrogate modeling, reduced-order modeling (ROMs), and regression techniques.
Experienced in working with multiple interfaces to deliver the results.
Good verbal and written communication skills.
Good Problem solving & analytical skills.
Good coding skills on process automation and business intelligence tools (C/C++, Java, VB script, Python, Power BI etc.,)
Ability to work with intercultural & multi-disciplinary teams to achieve enterprise goals
High level of integrity, ability to deal with ambiguity, takes initiative/self-directed
At General Motors, our product teams are redefining mobility. Through a human-centered design process, we create vehicles and experiences that are designed not just to be seen, but to be felt. We’re turning today’s impossible into tomorrow’s standard - from breakthrough hardware and battery systems to intuitive design, intelligent software, and next-generation safety and entertainment features.
Every day, our products move millions of people as we aim to make driving safer, smarter, and more connected, shaping the future of transportation on a global scale.
Why GM Battery Research & Development?
At GM, your work won’t sit on a shelf – you’ll see it power real vehicles on the road. You’ll move ideas from first principles → validated models → vehicle impact, working at the intersection of fundamental physics, advanced simulation, and real-world EV systems. Our Research team offers the opportunity to:
The Role
As a Fall Intern, you will develop and advance first-principles, physics-based battery models that capture the underlying mechanisms governing battery behavior. Your work will focus on understanding and predicting electrochemical performance, degradation, and improved cell design through rigorous Multiphysics modeling across scales.
What You’ll Do
Your Skills & Abilities (Required Qualifications)
What will give you a competitive edge (Preferred Qualifications)
Our TRACK program is a rotation program designed to develop well rounded Financial Analysts who can affect positive change in our global organization. Rotations are designed to deliver a breadth of experience across multiple operating finance functions that support our mission to design, build, and sell the world's best vehicles and associated services.
The Team:
At GM we are working to change the future of mobility as we progress towards our ultimate vision: ZERO crashes, ZERO emissions and ZERO congestion. Our Global Finance team plays a critical role in the pursuit of these goals, from helping to optimize our current operations to developing strategies and business plans that will drive our future. There has never been a better time to build a career at GM. We are currently looking for individuals to join our TRACK (Technical Rotation and Career Knowledge) rotational program which will represent the next generation of Finance leaders at General Motors.
Potential rotations include: Sales and Marketing, Product Development, Purchasing & Supply Chain, Customer Care & Aftersales, and Manufacturing.
In addition to building an exceptional financial skillset, the TRACK program provides a truly immersive experience by pairing candidates with advisors and mentors to support growth and development within the organization. What’s more, because the program leverages a “cohort” approach, you will have the opportunity to participate in networking and social events with your peers and leadership.
Required Qualifications:
Pursuit of a Bachelor's or Master's degree in one of the following areas: Business, Finance, Accounting, Economics, or related fields
Must be graduating between December 2026 and June 2027
Ability to work full-time, 40 hours per week
Understand common financial metrics like ROI, NPV, IRR, etc.
Data analysis, learning agility, creative solutioning, and problem solving
Ability to analyze balance sheets, income statements, cash flows, capital structures, etc.
Possess Excel, modeling, and financial valuation skills
What will give you a Competitive Edge (Preferred Qualifications):
Demonstrate leadership in field of study, extra-curricular activities, or service organizations
Collaborate with a diverse team including cross-functional partners
Communicate effectively, possess a high level of integrity, persistence, accountability, trust, and an ability to deal with ambiguity and take action
Prioritize and meet goals in a fast-paced environment
GM does not provide immigration-related sponsorship for this role. Do not apply for this role if you will need GM immigration sponsorship now or in the future. This includes direct company sponsorship, entry of GM as the immigration employer of record on a government form, and any work authorization requiring a written submission or other immigration support from the company (e.g., H1-B, OPT, STEM OPT, CPT, TN, J-1, etc.)
Work Arrangement:
Hybrid : This role is categorized as hybrid. This means the successful candidate is expected to report Warren, MI, three times per week at a minimum.
To help facilitate administration of relocation benefits if you are selected, please apply using the permanent address you would move from.
Benefits:
GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.
This job may be eligible for relocation benefits.
The Design Release Engineer is responsible for the design and release of several Body, Interior, and Survivability subsystems. They are involved with the latest technology for use on current and future GM Defense (GMD) work. They work with a high-performance team and will be responsible for the design and packaging of many components.
The Design Release Engineer will utilize Program Management knowledge to aid in achieving program milestones. You will coach and lead suppliers to timely execution of program deliverables with perfection. You'll will provide expert judgment and analysis for the design, development and implementation of technical products and systems.
What You'll Do
Resolve highly complex technical issues and conduct advanced research.
Recommend alterations to development and design to improve quality of products and/or procedures.
Be skilled and proficient with a variety of the field's concepts, practices, and procedures.
Rely mostly on extensive personal experience and discernment to plan and accomplish goals.
Perform multiple tasks. A wide degree of creativity and latitude is expected.
Your Skills & Abilities (Required Qualifications)
This position requires significant experience in interior component design and knowledgeable in both high and low volume production. Candidates for this position will need very little ramp up time and be able to contribute immediately to the program. Meeting and exceeding program milestones is critical from the beginning.
BS in Mechanical Engineering or similar discipline
3+ years’ experience in vehicle design.
5+ years’ experience working in an engineering discipline
Knowledge of High and Low volume suppliers
Understanding of GD&T principles
Build process trouble shooting experience
General knowledge of cost drivers within the material forming space
Excellent collaboration skills with others within and outside of their direct organization
Experience solving design/manufacturing issues quickly as part of a cross-functional team
Experience managing OEMs or suppliers on critical timelines
Experience resolving complex engineering issues
Experience presenting to a wide variety of audiences
Ability to work periodically at MPG Milford, MI
Eligible to obtain Secret U.S. Security Clearance after hire.
What Will Give You A Competitive Edge (Preferred Qualifications)
MS in Mechanical / Electrical Engineering
DFSS Black Belt certification
Vehicle Launch Experience
Military Experience
Experience as a military contractor
This position requires eligibility to access classified information at the Secret U.S. Security Clearance level for which the U.S. Government requires U.S. Citizenship. The successful candidate must have eligibility to access classified information at that level.
#GMD
]]>This posting is for an existing vacancy within the organization and is open to new applications.
AI Disclosure:
As part of the application process, Artificial Intelligence will be used in the hiring process for this role
Work Arrangement : Hybrid: This role is categorized as hybrid. This means the successful candidate is expected to report to Markham or Oshawa office three times per week, at minimum.
The Role
The Staff System Engineering – Chassis Systems provides technical leadership for chassis motion control (braking, steering, suspension, vehicle dynamics) and acts as a domain‑agnostic architect for GM’s virtual integration stack. You will define and evolve end‑to‑end architectures across embedded ECUs and SIL/CoSim environments, creating reusable patterns, integrating services and models, and ensuring high‑quality execution across programs and domains.
What You'll Do (Responsibilities)
Lead end‑to‑end architecture for chassis motion control systems across embedded and virtual platforms, including interfaces and ownership boundaries between domain ECUs, infra vECUs, and plant models.
Define reusable, domain‑agnostic SIL/CoSim architecture patterns and infrastructure services, orchestrating plant models, behavioral ECUs, infra vECUs, activation flows, diagnostics, and supplier assets into cohesive, testable systems.
Own SnA and system‑physics plant‑model infrastructure for L3 CoSim; integrate models into CI/CD (packaging, versioning, automated checks) and drive standardization for reuse across domains.
Own service/profile activation infrastructure and infra vECUs for SDV services across domains; ensure NPCR and activation flows work reliably in CoSim/SOLE and are supported by tools and pipelines for current and future programs.
Own integration of supplier assets (FMUs, vECUs, C11 libraries, AUTOSAR components) into CoSim and controllers; define requirements/checklists, align interfaces with RestBus/ICDe/GMBSW, and establish minimal acceptance tests and CI/CD integration patterns.
Improve CoSim, SIL/HIL, and embedded development processes (requirements, traceability, quality gates) and lead adoption of architectural patterns, modeling guidelines, and release processes for virtual assets.
Provide technical leadership and mentorship; drive cross‑functional roadmaps and alignment with CoSim Architecture, Package/Variant, Pipeline & Execution, Diagnostics/NVM, calibration, DREs, suppliers, and program teams.
Support program execution for chassis systems in CoSim/SIL/HIL and in‑vehicle; apply advanced control, optimization, and modeling methods and contribute to IP through novel architectures and solutions.
Your Skills & Abilities (Required Qualifications)
10+ years in control systems/software development and/or technical leadership, with strong emphasis on chassis and vehicle dynamics controls.
In‑depth knowledge of chassis control and vehicle dynamics (braking, steering, suspension, stability) and calibration to meet objective and subjective performance targets.
Strong control systems background applied to embedded systems (e.g., state feedback, adaptive, model predictive control).
Production‑grade embedded software experience using C/C++ and model‑based development (MATLAB/Simulink, code generation) to GM standards.
Solid understanding of AUTOSAR (Classic/Adaptive), ECU layering, and GMBSW integration patterns.
Strong experience with CoSim/SIL/HIL and vECU design/integration (e.g., dSPACE VEOS, ETAS vECU‑Builder), plus plant modeling (Simulink/Modelica or equivalent) and CI/CD practices.
Strong understanding of SDV service activation concepts, NPCR, and infra vECU responsibilities in CoSim/SOLE.
Hands‑on experience with FMUs/FMI and supplier asset integration, including C11/C++ libraries, Ethernet/osa integration, and VeSCoM/SDV cadence and program gates.
Experience with vehicle dynamics modeling/simulation tools (e.g., CarSim) and vehicle communication/measurement tools (e.g., Vehicle SPY, INCA, CANalyzer).
Strong analytical and problem‑solving skills; proactive, results‑driven, able to work independently and in global, cross‑functional teams, with excellent written and verbal communication.
Ability to travel as needed to test sites and partner locations (e.g., Michigan and other global sites).
What Can Give You A Competitive Edge ( Preferred Qualifications)
M.Sc. or Ph.D. in Control Systems, Electrical/Mechanical Engineering, Computer Engineering, or a related field.
Experience with advanced statistics, signal processing, optimization, system identification, and state estimation for vehicle/chassis systems.
Experience with automotive product release/specification processes and integrating virtual assets (FMUs, vECUs) with program gates.
Demonstrated leadership in defining virtual integration strategies (plant models, activation, vECUs, supplier assets), architectural guidelines, and playbooks across domains and teams; strong presentation and influence skills at staff/architect level.
Compensation:
The salary range for this role is $137,300 to $203,000. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.
GM DOES NOT PROVIDE IMMIGRATION-RELATED SPONSORSHIP FOR THIS ROLE. DO NOT APPLY FOR THIS ROLE IF YOU WILL NEED GM IMMIGRATION SPONSORSHIP NOW OR IN THE FUTURE.
Benefits Overview
The goal of the General Motors of Canada total rewards program is to support the health and well-being of you and your family. Our comprehensive compensation plan currently includes the following benefits, in addition to many others:
Paid time off including vacation days, holidays, and supplemental benefits for pregnancy, parental and adoption leave;
Healthcare, dental, and vision benefits;
Life insurance plans to cover you and your family;
Company and matching contributions to a Defined Contribution Pension plan to help you save for retirement;
GM Vehicle Purchase Plan for you and your family
This role is not eligible for relocation benefits
At General Motors, our product teams are redefining mobility. Through a human-centered design process, we create vehicles and experiences that are designed not just to be seen, but to be felt. We’re turning today’s impossible into tomorrow’s standard —from breakthrough hardware and battery systems to intuitive design, intelligent software, and next-generation safety and entertainment features.
Every day, our products move millions of people as we aim to make driving safer, smarter, and more connected, shaping the future of transportation on a global scale..
About the role:
The successful candidate will develop design definitions, system layouts, and virtual vehicle integration solutions for electrification assemblies and components. This role supports Advanced and Systems Design teams in the development of high-voltage batteries, rechargeable energy storage system (RESS) components, and power electronics for electric vehicle applications. The role requires collaboration with engineering support teams, suppliers, and global GM partners.
A fully qualified contributor demonstrates strong knowledge of virtual vehicle integration, CAD modeling, math data management, and vehicle development processes.
Develop math-based design solutions that meet subsystem and component requirements.
Create, manage, evaluate, refine, and release math data for advanced components, assemblies, and subsystems using NX, Teamcenter, and Active Workspace.
Develop system layouts and integrate component and subsystem designs into vehicle systems, including RESS-to-vehicle integration.
Create and maintain criteria, sections, Hole Criteria files, and other design data.
Apply design standards, modeling methods, manufacturability, Design for Assembly, and integration principles to component and subsystem designs.
Use analysis tools to evaluate component math, including Pre/Post, FloEFD, Topology Optimizer, Mold Flow Advisor, and Wall Thickness Checker.
Document and maintain material, mass, and other component specifications within math files.
Use TCVis and Vis Mockup to review large vehicle assemblies and support vehicle integration.
Participate in design reviews by presenting solutions, proposals, and technical recommendations.
Ensure seamless communication among subsystem groups, engineers, designers, suppliers, and global partners.
Support other designers with design tasks as needed and share lessons learned and best practices.
Keep the Design Manager and DLT informed of project status, timing, risks, and technical issues.
Ensure high-quality, on-time math releases for components and subsystems.
Stay current on product developments, design practices, manufacturing processes, and relevant technical trends.
Pursue professional development through coaching, shadowing, formal training, and other learning opportunities.
Four-year engineering degree or equivalent experience.
Experience using NX with Teamcenter and Active Workspace to create, manage, and evaluate math data for advanced components, assemblies, and subsystems.
Experience using TCVis to review large vehicle assemblies and support RESS-to-vehicle integration.
Knowledge of the design and release process for automotive or mechanical components.
Working knowledge of automotive systems, materials, components, specifications, and release processes.
Ability to use engineering analysis tools to evaluate component math.
Ability to troubleshoot problems, analyze technical issues, and develop effective solutions.
Demonstrated ability to work independently with appropriate direction and support.
Strong interpersonal, oral, and written communication skills.
Ability to collaborate effectively across subsystem teams and with global partners.
Working knowledge of GM CAD and data-management systems, GM engineering processes and software, the Global Vehicle Development Process, and math fidelity requirements for each development cycle.
Working knowledge of automotive manufacturing processes such as die casting, injection molding, stamping, extrusion, machining, and thermoforming.
Knowledge of battery cells, cell sensing and bussing, RESS assemblies, electric machines, power inverter modules, or related electrification hardware.
Experience creating and using NX user-defined features (UDFs), NX templates, and NX Algorithmic Modeling.
Experience managing VAS, BAS, PAS, and associated integration areas.
Knowledge of GM standards for component clearances, manufacturing best practices, and design standards.
Working knowledge of GD&T, EGD&T, basic stack-up analysis, and drawing creation using NX.
Experience with GM GPS drawing standards, including S1100.
Experience as a Lead Designer coordinating the work of multiple designers and engineers.
Strong project management skills.
Knowledge of die casting, injection molding, stamping, extrusion, thermoforming, vacuum forming, and other automotive manufacturing processes.
GM DOES NOT PROVIDE IMMIGRATION-RELATED SPONSORSHIP FOR THIS ROLE. DO NOT APPLY FOR THIS ROLE IF YOU WILL NEED GM IMMIGRATION SPONSORSHIP NOW OR IN THE FUTURE. THIS INCLUDES DIRECT COMPANY SPONSORSHIP, ENTRY OF GM AS THE IMMIGRATION EMPLOYER OF RECORD ON A GOVERNMENT FORM, AND ANY WORK AUTHORIZATION REQUIRING A WRITTEN SUBMISSION OR OTHER IMMIGRATION SUPPORT FROM THE COMPANY (e.g., H-1B, OPT, STEM OPT, CPT, TN, J-1, etc.)
#LI-JN1
]]>The Body Department Welding Enginee r is responsible for the safe, reliable, and efficient operation and improvement of automated body shop welding and joining systems. This role provides technical leadership for welding and joining equipment, and equipment integration across the body department.
The engineer supports daily production, new product and equipment launches, troubleshooting, system upgrades, and continuous improvement. This position works closely with body operations, skilled trades, maintenance, quality, safety, manufacturing engineering, suppliers, and contractors to improve safety, quality, delivery, cost, and equipment performance.
This is an onsite manufacturing engineering role requiring regular presence in the body department and on the plant floor. The role requires shift rotation, weekends, shutdown, or extended-hours support during launches, critical equipment work, troubleshooting, and planned maintenance activities. Travel to suppliers or other GM locations may be required based on business needs.
What You’ll Do
Apply structured problem-solving methods to identify root causes and implement sustainable corrective actions for welding and joining processes.
Develops and implements predictive and preventive maintenance activities.
Provide technical support to less experienced engineers, suppliers, contractors, productions teams and plant support personnel as needed.
Propose and evaluate manufacturing processes and equipment for body shop.
Responsible for managing change control for Welding, Dispensing, Mechanical Joining and Robotic Systems.
Lead or support the design, programming, integration, installation, commissioning, validation, and launch of new or modified body equipment and systems.
Reviews reports from destructive teardowns, in process weld monitoring checks, and maintenance process control sheets for corrective action requirements and compliance to Process Control Plans. Develop and implement countermeasures as appropriate.
Maintains welding and joining documentation to provide a weekly summary of the current welding and joining performance for the body shop.
Coordinate installation and validation of welding and joining equipment.
Maintains documentation control of product and process engineering records (Weld Monitor Reports, Weld Data Sheets, Weld Tool Information Sheets, Dispense Data Sheets, eBOP assembly documentation, Gauge Records, Weld Destruct Reports and Engineering Standards).
Performs metallurgical cross-section preparation and analysis per General Motors engineering standards.
Provide data analysis of welding or joining performance to create a historical timeline of events and deliver to plant leadership, if a quality event occurs.
Work with quality, engineering and production teams for quality, warranty and cost improvement activities, leverage resources to solve problems efficiently.
Maintain, implement and continuously improve process control methods for the body shop welding, fastening sealing and adhesive applications to include:
Maintain database of all non-conforming joining problems
Maintain weld equipment with yearly certifications
Maintain and update all weld tool information sheets
Maintain Audit certification for Body Shop
Provide a safe work environment and comply with all policies.
Support TIP (Throughput Improvement) initiatives as required.
Coordinates with Quality department when product changes which impact welding and joining process control.
Execute safe work practices as the highest priority and achieves department objectives for ergonomics, health/safety, and housekeeping.
Your Skills & Abilities (Required Qualifications)
Bachelor’s degree in Weld Engineering, Metallurgy or equivalent experience
Training in college level theoretical and applied mechanics, vibrations, fluid dynamics, physics, metallurgy, electricity, thermodynamics, heat transfer and manufacturing techniques
Training in computer and robotic applications
Ability to read electrical schematics and mechanical drawings
Strong communication, organization, project-management, and collaboration skills.
Ability to manage multiple projects and priorities with autonomy and accountability.
Commitment to safe work practices and continuous improvement.
What Will Give You a Competitive Edge (Preferred Qualifications)
Experience in an automotive manufacturing or body shop environment.
Experience with Fanuc robotics systems.
Experience with equipment commissioning, factory acceptance testing, site acceptance testing, or production launch.
Knowledge and experience with:
Resistance Spot Welding (steel and aluminum)
Projection Welding
Drawn Arc Welding and Brazing
Mechanical Joining (self-piercing rivets)
Sealer/Adhesive Dispensing processes
Laser Welding
Laser Brazing
Automated Robotic Manufacturing and associated controls systems
This job may be eligible for relocation benefits.
Onsite - This role is categorized as onsite. This means the successful candidate is expected to report to Rochester on a full-time basis.
The Role
The Manufacturing Engineer leads engineering activities from concept initiation through implementation and control. This role develops and applies advanced engineering judgment, technical expertise, and structured problem-solving to improve safety, quality, delivery, cost, productivity, and operational performance.
The engineer works with significant autonomy and accountability, manages multiple complex assignments, and collaborates with cross-functional teams, suppliers, and technical experts. The role requires creativity, initiative, independent judgment, and the ability to operate effectively in ambiguous and changing environments.
What You'll Do
· Identify and implement solutions for repairing mechanical equipment, minimizing downtime and maximizing output.
· Provide technical support and expertise for the setup, operation, and maintenance of manufacturing equipment.
· Analyze and implement product or machinery designs for the best method for manufacturing processes.
· Analyze and interpret blueprints and machine schematics to troubleshoot and resolve production issues.
· Propose and evaluate the processes for equipment in assigned area.
· Develop and implement manufacturing processes, procedures, and documentation to improve efficiency, quality, and cost-effectiveness.
· Direct the design, development, and/or improvement of manufacturing processes for assigned area.
· Collaborate with design and production teams to ensure manufacturability of new products and components.
· Provide direction to engineering support groups and vendors.
· Evaluate or monitor expenditures on processes and/or equipment.
Your Skills & Abilities (Required Qualifications)
· Bachelor’s degree in mechanical, manufacturing, electrical, or related engineering discipline.
· Demonstrated ability to manage multiple difficult projects with a high level of autonomy and accountability.
· Strong analytical, problem-solving, communication, and project-management skills.
· Ability to exercise independent judgment, take initiative, and deal effectively with ambiguity.
· Proficiency with relevant engineering, manufacturing, data-analysis, and project-management tools.
· Proficient with computer modeling software such as SolidWorks, Creo or NX.
· Ability to Addresses and evaluate a diverse range of issues using innovative methods and proposing alternative approaches.
· Willingness to work in plant, including occasional off-shift or travel requirements.
What Can Give you a Competitive Advantage (Preferred Qualifications)
· Experience in automotive or high-volume manufacturing.
· Experience with lean manufacturing, PFMEA, control plans, standardized work, and process capability.
· Experience mentoring others and influencing stakeholders without direct authority.
· Experience with automation, robotics, manufacturing controls.
· Experience with various machining and assembly processes.
· Demonstrated ability to troubleshoot and repair mechanical equipment.
· Led capital equipment build projects with OEM partners while meeting schedule and budget targets.
· Experience in interpreting and utilizing blueprints and machine schematics.
Compensation:
The expected base compensation for this role is: $80,700.00 - $109,400.00. Actual base compensation within the identified range will vary based on factors relevant to the position.
Bonus Potential:
An incentive pay program offers payouts based on company performance, job level, and individual performance.
]]>The Senior Manager, Advanced User Experience Strategy is an enterprise design leader responsible for shaping user experience strategy across GM’s in-vehicle, digital, and connected experiences. This role operates at the intersection of hardware and software, translating enterprise and Design strategy into clear experience direction, operating plans, governance, and scalable execution frameworks. Working upstream in programs, this leader establishes foundational experience architecture, interaction principles, component strategies, and reusable patterns that branded studios can build upon while preserving meaningful brand differentiation. As a pre-eminent strategic authority, this leader partners with senior and executive leadership to influence product experience, design systems, and organizational effectiveness in a software-defined vehicle environment.
What You’ll Do
Set and lead long-term advanced user experience strategy across in-vehicle, app, and digital experiences, aligning priorities with GM business strategy, customer needs, and future-state experience goals.
Lead upstream strategy work early in programs by establishing foundational experience architecture, component logic, interaction principles, and design criteria for branded studio execution.
Define how hardware and software work together as one cohesive experience, integrating physical components, digital interfaces, and visual interaction layers into a unified system.
Create and evolve reusable experience frameworks, suites of parts, patterns, and behaviors that scale across programs while enabling meaningful brand differentiation.
Translate enterprise and Design-wide initiatives into UX priorities, standards, operating plans, governance, and execution frameworks for teams of teams.
Advise senior leadership and lead complex, multidimensional UX challenges through strategic thinking, data, governance, and compelling narratives that clarify tradeoffs and drive decisions.
Own strategic initiatives and KPIs tied to design quality, timing, integration, adoption, and enterprise experience outcomes while building organizational capability and developing future UX leaders.
Your Skills & Abilities (Required Qualifications)
Extensive experience leading UX, Human Interface Design, product experience, design systems, or digital experience strategy in complex enterprise environments.
Proven success defining strategic direction and converting it into operating models, governance, roadmaps, execution frameworks, and measurable outcomes.
Strong record of leading cross-functional forums, resolving complex tradeoffs, and influencing senior leadership through data, strategic storytelling, and clear recommendations.
Demonstrated experience building and leading teams, including other leaders, in high-ambiguity and high-visibility settings.
Strong understanding of software, product, design, engineering, and customer experience ecosystems, including how hardware and software combine to create cohesive experiences.
Bachelor’s degree in Human-Computer Interaction, Interaction Design, UX, Product Design, Human Factors, Psychology, Engineering, or a related field.
What Will Give You a Competitive Edge (Preferred Qualifications)
Advanced degree in Human-Computer Interaction, Interaction Design, UX, Product Design, Human Factors, Psychology, Engineering, or a related field.
Experience shaping user experience strategy for automotive, connected products, software-defined vehicles, or other complex physical-digital ecosystems.
Experience establishing enterprise design systems, governance models, reusable patterns, measurement frameworks, or scalable operating processes.
Experience influencing product roadmaps and design direction across multiple programs, platforms, brands, business units, or regions.
External recognition or demonstrated thought leadership in UX strategy, product experience, human-centered design, or design systems.
Leadership Expectations
This leader is expected to represent GM’s UX expertise internally and externally, champion large-scale change, create clarity in ambiguity, and model GM behaviors in how they lead, decide, and develop others.
]]>If you are a current employee of General Motors working in a per diem, hourly, or regular salaried role, you must apply through the internal careers page. Please navigate to https://workday.gm.com and search for GM Find Jobs.
The General Motors Manufacturing Group is seeking to identify highly motivated and qualified individuals for current and potential future opportunities as a Group Leader. In anticipation of these openings becoming available, we welcome you to apply so we can begin the pre-screening and interview process.
The Role:
As a Group Leader in Production, Quality, or Global Supply Chain (GSC), you will be responsible for leading teams of employees or technical personnel to drive operational excellence across manufacturing processes. This includes managing daily operations, developing and improving business processes, and fostering a culture of teamwork and collaboration.
In this role, you may oversee production activities, quality assurance, inspection, problem-solving, and GM Built-in-Quality initiatives. You will be expected to apply independent judgment within the framework of Global Manufacturing Systems, with a strong focus on Safety, People, Quality, Responsiveness, Cost, and Environment (SPQRCE).
Selected candidates will gain the chance to develop new skills while contributing to the advancement of manufacturing processes that support the groundbreaking shift toward electric and autonomous vehicles.
What You'll Do (Responsibilities):
Analyze and respond promptly to the manufacturing daily plan, making necessary adjustments to operations as required
Manage multiple tasks in a fast-paced environment with competing priorities
Possess the experience to manage change and navigate ambiguity
Drive accountability through people and processes which may require difficult conversations
Specific physical requirements of the position include the ability to:
Work in a loud manufacturing environment that may not be climate controlled (conditions can be hot or cold)
Possess good physical stamina and coordination to frequently and repetitively:
Bend, twist, kneel, crouch and reach to perform work
Lift or carry materials weighing up to 15 lbs. and periodically carry or lift materials weighing up to 40 lbs.
Walk and stand for prolonged periods of time
Occasionally sit, climb (including ladders and lifts) and drive vehicles and equipment
Read standardized work instructions, operate machines and tools, and perform quality inspections
Promptly detect and respond to safety instructions, alarms, and signals
Wear personal protective equipment, for example: safety glasses, gloves, hats, ear plugs, and safety shoes
Your Skills and Abilities (Required Qualifications):
One year of direct supervisory experience or at least 5 months as an internal GM per diem group leader
Experience managing, leading people, and addressing performance concerns
Experience solving complex problems and working in a fast-paced environment
Strong interpersonal skills, experience managing conflict, and decision making
Demonstrate a high analytical ability to solve complex problems
Basic computer proficiency (i.e. Microsoft Word, typing, email etc.)
Must be available and willing to regularly work weekends to meet production demands, including approximately two weekends per month
Must be willing to work rotating shifts
18 years of age or older
High School Diploma or equivalent
What Can Give You a Competitive Edge (Preferred Qualifications):
Knowledge of Continuous Improvement Processes (CIP)
Proficient in Throughput Improvement Process (TIP)
Advanced understanding of manufacturing and assembly processes
Experience supervising employees in a union environment
Supply Chain or Quality Experience
Experience implementing Built-in-Quality Initiatives
Red X & DFSS Certification
Lean Manufacturing experience
Knowledge of timekeeping systems
Field Work Arrangement: This is a field-based position that requires up to 50% travel to dealerships within the assigned territory on a recurring basis. The selected candidate must currently reside within the region hired for (locations listed below) or be willing to relocate to a city approved by leadership within 60 days of the start date.
SER – Southeast Region
AL, GA, FL, KY, NC, SC, TN, VA, WV
NE – Northeast Region
CT, ME, MA, NH, RI, VT, NY, NJ, PA, DE, MD, DC
The Role:
The DRP Field Implementation Manager’s primary responsibility is to oversee all dealer’s DRP Implementations in each region, lead the Dealer Group DRP Implementations while serving as the Channel Field’s SME for the Digital Retail Platform.
What You’ll Do:
Your Skills & Abilities (Required Qualifications):
This role is categorized as hybrid. This means the successful candidate is expected to report to Warren, MI three times per week, at minimum.
What You’ll Do
In this unique, highly autonomous role, you will independently shape and maintain the critical minerals distribution, trading and market, financial benchmarking and sourcing strategies specific to a wide array of critical minerals and REE’s (rare earth elements).
Operate with sound business judgment and adhere to corporate and departmental purchasing, finance, and accounting practices and procedures
Lead end-to-end sourcing and contracting activities that include, but are not limited to:
Develop and lead sourcing strategies, including bid list development and management
Lead quote analysis, commercial evaluation, and market review to inform sourcing decisions
Coordinate and align sourcing opportunities, including Terms & Conditions, technical documentation, quality requirements, and commercial inputs
Develop sourcing recommendations for leadership and drive alignment with cross-functional teams
Negotiate and execute complex supply agreements
Manage sourcing documentation related to the RFQ process in adherence to GM Audit Services requirements
Lead direct material budget activities and support financial planning for critical minerals
Lead supplier relationship management initiatives, including Strategic Supplier Engagement, and nurture supplier relationships by serving as a focal point for commercial issue resolution
Lead change management activities and work closely with external partners on potential collaborations and strategic engagements related to critical minerals
Lead or represent the purchasing function in supplier KPI reviews and performance discussions
Represent purchasing and support the mitigation of supply chain disruptions across the critical minerals value chain
Skills & Abilities (Required Qualifications)
Education:
Bachelor's degree in Business, Supply Chain Management, Finance, Supply Chain, Economics, or a related field, or equivalent work experience
5+ years of relevant experience in purchasing, supply chain, program/product management, logistics, product development, commodities, market analysis, finance, or related fields (internship or co-op experience will not be considered)
Competency Level:
Demonstrated ability to work independently and complete complex, ambiguous tasks with limited direction while exercising sound judgment in the following competencies:
Data Judgment - Objectively analyze complex data, market signals, and financial information to draw meaningful conclusions
Informative Communication - Communicate relevant information effectively and in a timely manner to the appropriate audience
Relationship Management - Develop and maintain constructive, cooperative working relationships with internal and external stakeholders
At a minimum, demonstrate the ability to execute with little support in the following competencies:
Negotiation - Engage in collaborative discussions to reach meaningful agreements
Analytical Thinking - Consider multiple factors in decision making to determine solutions and their potential impacts
Results Focus - Take ownership without prompting, seize opportunities, and deliver results on time
Workload Management - Manage multiple priorities with quality and prioritize work based on critical needs
Ability to travel approximately 10%-15% domestically and internationally
What Can Give You a Competitive Edge (Preferred Qualifications)
Master's degree in Business, Supply Chain Management, Finance, Economics, or a related advanced degree
Experience in critical minerals, mining, mineral processing, commodities, or related natural resources industries
Experience mapping end-to-end supply chains and analyzing value chains
Experience developing or applying distribution, trading and market, commodity, or financial benchmarking strategies
Cost analysis, financial modeling, commercial strategy, or manufacturing experience
Experience in the automotive, electric vehicle, or EV battery industry
Experience working at a mining or processing firm, EV battery company, financial institution, investment bank, or commercial bank
Capable of drawing conclusions from complex data, market trends, financial indicators, and the regulatory environment
Ability to understand basic technical drivers for the applicable commodities, along with knowledge of contract law as it applies to purchasing processes and commercial agreements
Onsite: This role is categorized as onsite. This means the successful candidate is expected to report to Saginaw, MI on a full-time basis.
General Motors is looking to add a Senior Controls Engineer (CE) on a rotating shift! The CE will manage projects while supporting daily manufacturing operations within a team environment. In this role work will be of technical nature with decisions made within the limits of general practices, policies and standards meeting required safety guidelines.
Work will involve complex manufacturing problems including the need to troubleshoot and follow issues to resolve. The CE will be responsible for equipment related to the manufacturing process. Substantial independent judgment in complex or unusual situations is typical in this role. The CE also may be responsible for training others and assigning work to a small group of employees.
What You'll Do (Responsibilities)
Manage controls-related electrical projects including installation of new or replacement equipment, continuous improvement initiatives, and periodic repair and refurbishment
Participate in functional area plant meetings to represent General Assembly Maintenance and assist in improving the plant’s performance
Provide technical support, direction, and training to tech support, other controls engineers, and skilled trades personnel within the department
Support daily production activities, including investigating conveyor and equipment issues to provide technical input for problem resolution
Coordinate with departmental tech support engineers and Headquarters Vehicle Systems engineers on new model process and equipment planning, including model changes, throughput improvements, sourcing, etc.
Assist in the development of a project support plan between the plant, headquarters, and contractor resources (including paragraph 183 contractual requirements)
Support GMS and BIQ4 initiatives.
Utilize advanced analytical and problem-solving techniques to resolve a wide range of non-standard problems and drive continuous improvement of plant controls systems
Enforce safe work practices as the highest priority and implement objectives for improved ergonomics, health/safety, and housekeeping
Maintain good working relationships with peers, hourly employees, union, management, supplier community, and interface with support functions outside the plant as required
Develop project planning timetables and report progress as required
Utilize best practices and common systems to improve competitiveness and reduce waste
Provide input into the establishment of Manufacturing Engineering plant budget, NPP funding forecasts, and appropriation request estimates
Ensure long-term, cost-effective maintenance of equipment and facilities
Manage projects to minimize investment cost while providing conveyors, equipment, and facilities that require a minimum operating cost (with maximum throughput, energy efficiency, etc.)
Develop enhanced relationships with production, internal, and external teams to affect change in broader functional areas.
Manage problems of diverse scope independently, owning the development and delivery of solutions.
Your Skills and Abilities (Required Qualifications)
5+ years of Controls Engineering experience
Ability to program and troubleshoot processors in the current Allen-Bradley PLC family or Siemens
High level of analytical ability to solve problems
Ability to work an off shift
Previous experience working with Rockwell and FANUC robots
What Can Give You a Competitive Edge (Preferred Qualifications)
Bachelor's degree in electrical engineering
GM DOES NOT PROVIDE IMMIGRATION-RELATED SPONSORSHIP FOR THIS ROLE. DO NOT APPLY FOR THIS ROLE IF YOU WILL NEED GM IMMIGRATION SPONSORSHIP (e.g., H-1B, TN, STEM OPT, etc.) NOW OR IN THE FUTURE.
]]>Responsable de gestionar y optimizar la distribución nacional de vehículos, la planificación y ejecución del wholesale, y los procesos de asignación e inventario en línea con la estrategia comercial de General Motors garantizando la excelencia operativa
Responsabilidades
Calificaciones
Requisito
Every day, our products move millions of people as we aim to make driving safer, smarter, and more connected, shaping the future of transportation on a global scale.
The Role
As a Zone Manufacturing Engineer at General Motors, you will provide senior technical leadership for a defined General Assembly zone from concept through launch and steady-state production. You will independently apply advanced manufacturing, process engineering, lean, and General Motors Manufacturing System (GMS) principles to optimize safety, quality, delivery, cost, and operational performance.
You will lead complex manufacturing initiatives, influence cross-functional decisions, mentor engineering and production partners, and drive sustainable solutions to improve process capability, material flow, equipment effectiveness, and operator efficiency.
Work Environment
The home base location will be Warren, MI, Fort Wayne, IN, Spring Hill, Tennessee, or Bowling Green, Kentucky. This role requires up to 75% travel, including travel to GM plants, supplier locations, equipment integrators, and launch sites. Travel requirements vary depending on the selected home base location. Work may involve weekends, holidays, off-shift support, and extended periods away from the home base during product launches, equipment installations, build events, and production recovery activities.
What You’ll Do
Zone Ownership & Launch Execution
Provide technical ownership and leadership for new programs, model changes, and current production activities within an assigned General Assembly zone.
Lead complex launch and manufacturing projects from concept through installation, validation, launch, and steady-state production.
Define and align tooling, equipment, automation, conveyance, facilities, material handling, workstation, and process requirements.
Establish project strategies, milestones, risks, and recovery plans to ensure launch objectives are achieved.
Lead build events, resolve complex launch issues, and ensure lessons learned are incorporated into future programs and current production.
Provide technical direction to less-experienced engineers and production partners.
Process & Tooling Engineering
Develop and implement robust manufacturing processes using advanced Process Engineering methodologies to achieve production, quality, cost, and throughput targets.
Lead Design for Manufacturability (DFM) analyses for new and existing products and processes to improve producibility, reduce cost, and minimize variation.
Develop optimized sequence and flow of operations to maximize effective utilization of people, material, machines, and facilities.
Design, specify, and integrate equipment, tooling, automation, and technology from concept through construction, installation, launch, and continuous improvement.
Develop tooling Statements of Requirements (SORs) and manage complex tooling, station, automation, and technology projects to timing, cost, quality, and performance targets.
Provide technical direction and oversight to suppliers, integrators, and external engineering partners.
Collaborate with design and automation teams to define Human Machine Interface (HMI) requirements that improve operator efficiency, usability, and safety.
Ensure design documentation, spare parts planning, maintenance requirements, and equipment reliability strategies are complete.
Complete tooling, equipment, process, and launch documentation required by program and plant governance teams.
Continuous Improvement & Operational Performance
Apply GMS principles to identify and eliminate waste, standardize work, improve process discipline, and enhance operational performance.
Lead Value Stream Mapping (VSM) activities to identify bottlenecks, improve material flow, reduce lead times, and optimize end-to-end zone performance.
Monitor key performance indicators (KPIs), analyze trends, and implement corrective actions when performance deviates from production plans or targets.
Lead structured problem-solving and lean manufacturing initiatives that deliver sustainable improvements in safety, quality, delivery, cost, and labor efficiency.
Identify opportunities to improve process capability, equipment effectiveness, ergonomics, and operator experience.
Validate that improvements are sustained through standard work, layered audits, visual management, and performance monitoring.
Cross-Functional Integration & Planning
Lead interfaces with Process, Materials, Product Engineering, Maintenance, Quality, Operations, Automation, Safety, Ergonomics, and other stakeholders.
Influence product and process decisions by providing manufacturing feasibility, DFM, capacity, tooling, and launch recommendations.
Lead alignment on common tooling, processes, standards, and technology across the department and related manufacturing groups.
Participate in integration planning for installation requirements, phasing, pull-ahead plans, conveyance interfaces, material presentation, and production readiness.
Lead deep-dive reviews of process development, implementation, and performance for the assigned zone.
Provide technical support and guidance to production teams, addressing manufacturing challenges and implementing sustainable solutions.
Material Flow & Logistics Integration
Develop efficient material flow concepts and strategies for future material movement into and within the zone.
Lead VSM and material flow reviews to reduce waste, congestion, handling, and lead times.
Partner with Materials, Logistics, and Operations to optimize part presentation, container interfaces, conveyance, and line-side delivery.
Support business cases for critical tooling-to-container interfaces, material presentation strategies, and logistics improvements.
Quality, Risk & Safety
Lead PFMEA development and maintenance for assigned programs and production processes.
Use PFMEA, process capability, problem-solving, and build validation data to proactively identify and mitigate process risks.
Ensure processes, equipment, tooling, and workstations meet or exceed GM safety, ergonomics, quality, and design standards.
Ensure strict adherence to Lockout Tagout (LOTO) procedures and other applicable industrial safety requirements.
Participate in safety observations, risk assessments, and corrective-action activities.
Partner with Safety and Ergonomics teams to address hazards and improve operator safety and usability.
Lead integration of build validation results and lessons learned into zone designs, processes, and standards.
Systems, Documentation & Governance
Maintain status of process change requests, project actions, and related documentation in engineering and manufacturing systems.
Lead virtual and digital builds to validate process, tooling, HMI, and manufacturing readiness before physical builds.
Maintain zone tooling requirements and cross-check against standard and special tool lists.
Define specialized power tool, fastening, controls, and HMI requirements and coordinate implementation with appropriate stakeholders.
Ensure maintenance training and equipment handoff activities are completed for critical zone assets.
Lead or support program financial reviews related to zone tooling, equipment, automation, and process investments.
Maintain accurate technical documentation, standards, lessons learned, and operating requirements throughout the product lifecycle.
Your Skills & Abilities (Required Qualifications)
Bachelor’s degree in engineering or a related technical field; equivalent relevant manufacturing experience will be considered in lieu of a degree.
5 or more years of experience in manufacturing, process engineering, or a related technical discipline.
Demonstrated experience independently leading complex manufacturing projects from concept through launch and production.
Proven expertise in Process Engineering methodologies, lean manufacturing, and structured problem-solving.
Demonstrated proficiency in Design for Manufacturability (DFM) principles and manufacturing feasibility analysis.
Strong understanding and practical application of GMS principles.
Experience leading or facilitating Value Stream Mapping activities and continuous improvement initiatives.
Proven ability to develop and maintain PFMEAs and use risk assessments to drive process improvements.
Experience with manufacturing equipment, tooling, automation, HMI considerations, and production systems.
Thorough knowledge of Lockout Tagout procedures and applicable industrial safety standards.
Demonstrated ability to monitor KPIs, identify performance gaps, and implement effective corrective actions.
Strong written and verbal communication skills, with the ability to influence and collaborate across functions and organizational levels.
Proven ability to lead multiple highly complex projects with a high degree of autonomy, accountability, and sound judgment.
Demonstrated ability to provide technical guidance, mentor others, and influence decisions without direct authority.
Strong analytical, interpersonal, and problem-solving skills.
Flexibility with changing work hours and environments to meet project timelines and plant operating schedules.
Willingness and ability to work weekends and holidays as required.
Ability to travel, sometimes extensively, during product program launches.
What Can Give You a Competitive Edge (Preferred Qualifications)
Experience in automotive manufacturing, preferably General Assembly.
Extensive knowledge of safety, design, manufacturing, and standards.
Experience at an assembly plant or in a centralized manufacturing engineering organization.
Expertise with General Assembly tooling, conveyors, automation, power tools, fastening systems, and HMI design.
Experience leading launch execution, build events, equipment installation, process validation, or production recovery.
Experience with VSM, standardized work, waste elimination, line balancing, and lean manufacturing.
Advanced experience with PFMEA, control plans, process capability, and quality risk mitigation.
Experience with digital build tools and manufacturing engineering systems, including tooling and equipment databases.
Experience developing business cases and managing tooling, equipment, automation, or process investments.
Experience working with suppliers, integrators, and external engineering partners.
Experience mentoring engineers or leading cross-functional technical teams.
#LI-MH1
]]>This role strengthens GM’s cybersecurity and IT control environment by designing, engineering, implementing, assessing, and continuously improving controls across SaaS platforms, AI-enabled services, cloud-native and hybrid infrastructure, identity platforms, and data environments. The role combines technical control engineering with objective, technically grounded assurance to determine whether controls are appropriately designed and operating effectively.
You’ll partner across Cybersecurity, IT, Finance, engineering, and business teams to embed effective controls into technology solutions, improve GRC tooling and data flows, and provide clear, decision-ready insights on cyber and IT risk. This is a senior individual contributor role for someone who can operate across organizational boundaries, challenge weak control designs, and translate complex technical risk into practical outcomes for leadership.
What You'll Do
Serve as a technical subject matter expert for cybersecurity and IT controls across applications, infrastructure, cloud platforms, SaaS, identity, and data environments.
Design and refine control patterns, guardrails, and reference architectures aligned with NIST, ISO, CIS, and SOX requirements.
Translate policies and standards into actionable, technically feasible control requirements for engineering and product teams.
Engineer and enhance controls assurance workflows and data integrations across platforms such as ServiceNow IRM, logging platforms, IAM tools, and cloud-native security capabilities.
Develop and support automation, scripts, and data pipelines that improve continuous control monitoring, evidence collection, traceability, and scalability.
Partner with platform, IAM, vulnerability management, cloud security, data protection, and third-party risk teams to embed preventative and detective controls into solutions and services.
Own end-to-end delivery of control assessments, including scoping, execution, documentation, stakeholder alignment, and reporting.
Assess the design and operating effectiveness of controls across applications, infrastructure, cloud, SaaS, identity, and data platforms.
Evaluate technical evidence—including configurations, access data, logs, and automated outputs—to determine control effectiveness and identify opportunities to strengthen control design.
Identify control gaps such as excessive access, weak segregation of duties, monitoring gaps, and insecure configurations, then recommend practical, risk-based improvements.
Validate that remediation addresses root cause, is sustainable in the environment, and remains aligned with GM standards and applicable regulations.
Assess cyber and IT risks by considering threats, vulnerabilities, data sensitivity, architectural dependencies, business impact, and likelihood.
Prioritize issues and clearly articulate risk tradeoffs, options, and recommendations to control owners and leadership.
Provide concise, executive-ready reporting on control posture, key risks, and remediation status using data from GRC and technical platforms.
Clarify and reinforce control ownership and accountability across Cybersecurity, IT, and business teams.
Advance continuous controls monitoring, automation, metrics, dashboards, and data-driven assurance practices that improve transparency and decision-making.
Improve controls assurance tooling, workflows, and data models to increase program efficiency, reduce manual effort, and enhance reporting quality.
Your Skills & Abilities (Required Qualifications)
Bachelor’s degree in Cybersecurity, Information Systems, Computer Science, or a related field, or equivalent experience.
5+ years of experience in cybersecurity engineering, IT audit, GRC, technology risk, or IT controls assurance.
Strong understanding of cybersecurity frameworks such as NIST, ISO, and CIS, as well as IT General Controls domains.
Hands-on experience with controls and security capabilities across cloud platforms, SaaS, identity platforms, and modern enterprise environments.
Familiarity with regulatory and compliance requirements such as SOX, PCI, GDPR, or CCPA.
Experience using controls assurance or GRC tools, such as ServiceNow IRM, and evaluating technical control evidence, including configurations, logs, access data, and automated reports.
Ability to identify systemic and architectural risks—not just isolated control issues—and recommend technically sound, risk-based solutions.
Excellent written and verbal communication skills, including the ability to negotiate, influence, and persuade stakeholders across Cybersecurity, IT, Finance, and business teams.
Strong organizational skills and the ability to manage multiple assessments, remediation activities, and stakeholder priorities with minimal rework.
What Can Give You A Competitive Advantage (Preferred Qualifications)
Background in IT audit, consulting, technology risk, cybersecurity engineering, or a related technical risk discipline.
Relevant certifications such as CISA, CISSP, CRISC, CISM, or CCSP.
Experience advancing automation, continuous monitoring, or data-driven controls reporting through AI, scripting, data analytics, or dashboarding.
Experience designing or assessing IT controls in complex, global enterprise environments.
Experience with ServiceNow IRM, control libraries, evidence automation, or integrations with IAM, vulnerability management, logging, and cloud security platforms.
Experience applying unified controls frameworks across multiple regulatory, security, and business requirements.
Supervisory or people-leadership experience, including coaching, mentoring, or coordinating the work of others.
Demonstrated ability to drive timely, sustainable remediation with clear ownership and alignment to enterprise standards.
#LI-SB3
]]>As a Production Group Leader, you are responsible for the effective use of personnel, material, and equipment.
Participates in the training, developing and evaluating of hourly team members.
Participates in the development of highly effective teams. Leads Global Manufacturing Systems(GMS) processes and serves as resource supporting launch and pilot activities in assigned areas.
Meets or exceeds production cost schedule and maintains quality requirements.
Maintains awareness of quality standards, and communicates department quality goals, and leverages resources to solve quality issues.
Builds and maintains good working relationships with employees, union and management. Understands and consistently administer the National and Local Agreements between General Motors and the United Auto Workers Union.
Implements and follows systems that prevent reoccurrence of known issues.
Promote safe work practices and achieve objectives for ergonomics, health and safety and housekeeping.
Motivates, trains and develops employees to effectively perform their jobs utilizing standardized methods.
Ensure team members receive adequate JIT (job instruction training).
Achieve production schedules and product requirements by applying lean manufacturing/synchronous principles with emphasis on variation reduction, control costs, and achieve productivity improvements.
Coach, teach, counsel and mentor Group Leaders in these responsibilities.
Required Qualifications:
Education
Bachelor's degree in Industrial, Mechanical, Electrical, Mechatronics Engineering, or a related field or relevant experience.
Experience
Minimum 2 years of relevant experience in a manufacturing environment.
Experience leading, supervising, or coordinating production personnel.
Experience supporting manufacturing operations, preferably in body shop or final line processes.
Experience working with unionized personnel.
Experience in quality and problem solving.
Technical Knowledge
Knowledge of dimensional processes.
Knowledge of problem-solving methodologies.
Familiarity with quality requirements and manufacturing operations.
Desirable Knowledge
Knowledge or experience in welding processes.
Language Skills
Intermediate conversational English. Ability to read, understand, and follow technical procedures, work instructions, and documentation in English.
Working Conditions
Shift flexibility: Availability to work on rotating shifts (4x3)
Work Arrangement: 100% On-site
In case you need any reasonable adjustment to continue with your process, let your recruiter know.
Remember to attach your CV when applying to this vacancy.
General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We respect and value what each individual contribution to our team, including their origin, education, sex, race, ethnic group, sexual orientation, gender expression and / or identity, religious context, age, generation, and disability. We believe that our ability to meet the needs and expectations of an increasingly diverse and global customer base is closely linked to the diversity and inclusion that we experience within General Motors.
]]>If you are a current employee of General Motors working in a per diem, hourly, or regular salaried role, you must apply through the internal careers page. Please navigate to https://workday.gm.com and search for GM Find Jobs.
The General Motors Manufacturing Group is seeking to identify highly motivated and qualified individuals for current and potential future opportunities as a Group Leader. In anticipation of these openings becoming available, we welcome you to apply so we can begin the pre-screening and interview process.
The Role:
The Maintenance Group Leader will be responsible for leading a group of skilled, hourly workers to troubleshoot and repair complex equipment and processes. This position requires the ongoing application and enforcement of the National and Local UAW Agreements. Candidates must possess technical expertise to oversee and support maintenance operations, exercising independent judgment within the framework of Global Manufacturing Systems, with a focus on Safety, People, Quality, Responsiveness, Cost, and Environment (SPQRCE)
Selected candidates will gain the chance to develop new skills while contributing to the advancement of manufacturing processes that support the groundbreaking shift toward electric and autonomous vehicles.
What You'll Do (Responsibilities):
Analyze and respond promptly to the manufacturing daily plan, making necessary adjustments to operations as required
Manage multiple tasks in a fast-paced environment with competing priorities
Drive accountability through people and processes which may require difficult conversations
Conduct appropriate checks and tests, and communicate evaluation of results
Proactively offers solutions to operational or technical issues
Perform preventative maintenance and diagnosis of equipment malfunctions
Maintains productivity and quality in line with organizational standards
Implement divisional and corporate policies and safety and good housekeeping practices
Maintain frequent contact and collaboration with others outside of the work group
Supervises the efficient use of labor, inventory, and machinery
Establish a course of action to accomplish completion of the job and/or project
Specific physical requirements of the position include the ability to:
Work in a loud manufacturing environment that may not be climate controlled (conditions can be hot or cold)
Possess good physical stamina and coordination to frequently and repetitively:
Bend, twist, kneel, crouch and reach to perform work
Lift or carry materials weighing up to 15 lbs. and periodically carry or lift materials weighing up to 40 lbs.
Walk and stand for prolonged periods of time
Occasionally sit, climb (including ladders and lifts) and drive vehicles and equipment
Read standardized work instructions, operate machines and tools, and perform quality inspections
Promptly detect and respond to safety instructions, alarms, and signals
Wear personal protective equipment, for example: safety glasses, gloves, hats, ear plugs, and safety shoes
Your Skills and Abilities (Required Qualifications):
One year of direct team supervisory experience or at least 5 months as an internal GM per diem group leader
Experience reading and understanding electrical, pneumatic, and hydraulic blueprints
Experience solving complex problems and working in a fast-paced environment
Strong interpersonal skills, experience managing conflict and decision making
Experience managing, leading people, and addressing performance concerns
Demonstrate a high analytical ability to solve complex problems
Basic computer proficiency (i.e., Microsoft Word, typing, email, etc.)
Must be willing to work rotating shifts
Must be available and willing to regularly work weekends to meet production demands, including approximately two weekends per month
18 years of age or older
High School Diploma or equivalent
What Can Give You a Competitive Edge (Preferred Qualifications):
Strong critical thinking and analytical skills
Experience working on multiple projects simultaneously
Willingness to ask questions, take initiative and be resourceful
High level of integrity, ability to deal with ambiguity, self-directed
Experience collaborating across multiple functions within a manufacturing setting
Every day, our products move millions of people as we aim to make driving safer, smarter, and more connected, shaping the future of transportation on a global scale.
Hybrid - This role is categorized as hybrid. This means the successful candidate is expected to report to the Cole Engineering Center in Warren, MI, three times per week, at minimum.
The Role:
This posting is seeking a driven Fuel Systems Design Release Engineer to join our team and lead the product development and integration activities for fuel systems components and subsystems
This position would be a great opportunity for an engineer that is seeking a role with a strong design and packaging focus; interaction with program teams; visits to the assembly plants; and opportunities to work with people from numerous different organizations within GM (Design, Safety/Crashworthiness, Thermal, Emissions Compliance, Vehicle and GPS Integration, Manufacturing Engineering, Purchasing, Supplier Quality, etc).
The engineer that is selected for this position will join a great team that offers strong support (as needed) from the Subsystem Lead DE, the Technical Specialists, the EGM, and DRE peers.
What You'll Do (Responsibilities):
Your Skills & Abilities (Required Qualifications):
What Can Give You a Competitive Edge (Preferred Qualifications):
At General Motors, our product teams are redefining mobility. Through a human-centered design process, we create vehicles and experiences that are designed not just to be seen, but to be felt. We’re turning today’s impossible into tomorrow’s standard – from breakthrough hardware and battery systems to intuitive design, intelligent software, and next-generation safety and entertainment features.
Every day, our products move millions of people as we aim to make driving safer, smarter, and more connected, shaping the future of transportation on a global scale.
The Role
We’re seeking a strategic, hands-on Staff-level individual contributor to set direction and deliver the future of Program Intelligence, analytics, and AI across the Program Management organization. This role operates at the intersection of enterprise data strategy, storytelling, and portfolio execution — enabling senior leadership to make faster, smarter decisions through trusted, high-quality, actionable insights. The successful candidate will work with broad autonomy, navigate significant ambiguity, and influence outcomes across organizational boundaries without direct authority.
You will define and advance the Program Intelligence strategy, establishing scalable patterns, standards, and governance for data products (dashboards, AI Agents, web applications, and analytics pipelines). You’ll work directly with PMO leaders and cross-functional partners to deliver high-impact, customer-facing capabilities and narratives that connect data to business outcomes. You will also raise the capability of the broader organization through mentoring, coaching, and reusable practices while remaining an individual contributor.
Why This Role Matters
GM’s vehicle portfolio is evolving faster than ever and demands sharper insight and tighter alignment across the enterprise. This role defines how Program Management measures what matters — turning data into the connective tissue between strategy, capacity, and execution. The impact of this role extends beyond individual deliverables: it establishes the intelligence capabilities, decision frameworks, and operating standards that enable leaders and teams to execute with greater clarity and speed.
What You’ll Do
Set the Program Intelligence & Reporting Strategy: Define and evolve the long-term vision, principles, operating model, and architecture for management information, reporting, analytics, and dashboards that support portfolio, capacity, and delivery decision-making.
Lead portfolio-scale data products: Direct the design and delivery of trusted, decision-grade dashboards, AI Agents, web applications, and reports that establish a durable source of truth for program health, capacity, and delivery performance.
Establish metrics and data governance: Create common definitions, measurement frameworks, data quality expectations, and governance practices that improve consistency, comparability, and confidence in enterprise decisions.
Architect analytics and AI solutions: Translate ambiguous, high-impact business needs into scalable data models, analytical products, AI-driven solutions, and reusable technical patterns in partnership with data engineering, IT, and product teams.
Influence executive decisions: Synthesize complex data and competing perspectives into clear narratives, recommendations, and decision frameworks that drive alignment and action at the senior leadership level.
Drive adoption and measurable value: Champion the use of Program Intelligence capabilities, assess adoption and business impact, and continuously improve products and practices based on customer feedback and evolving portfolio needs.
Your Skills & Abilities (Required Qualifications)
Bachelor’s degree in Business, Data Science, Information Systems, Engineering, or a related field.
5+ years of progressive experience in business intelligence, analytics, data products, management reporting, or a related discipline, including experience leading complex, enterprise-level initiatives.
Advanced experience with SQL, Python, cloud analytics platforms (e.g., Databricks, AWS), and the development or application of AI-driven solutions in an enterprise environment.
Demonstrated success defining strategy and delivering scalable dashboards, reporting products, data pipelines, analytics platforms, or AI-enabled experiences using modern tools such as Power BI, Tableau, Looker, Databricks, or equivalent technologies.
Proven ability to connect metrics to business strategy and portfolio outcomes, translating operational data into executive-level insights, recommendations, and decision frameworks.
Exceptional communication, visualization, facilitation, and data storytelling skills, with the ability to influence senior audiences and align stakeholders around complex decisions.
Recognized as a trusted advisor and thought leader who collaborates and influences across technical, product, and business stakeholders, aligns diverse perspectives around shared metrics and insights, and delivers results without direct authority.
What Will Give You a Competitive Edge (Preferred Qualifications)
MBA or advanced degree in business, data science, computer science, engineering, or another quantitative discipline.
Background in large-scale technology, product, engineering, or enterprise transformation environments, with experience scaling data-driven decision frameworks and operating models.
Deep knowledge of data science, machine learning, generative AI, responsible AI, and the practical application of these capabilities to enterprise decision-making.
Demonstrated ability to turn ambiguous, enterprise-wide business needs into structured intelligence strategies, governed metrics, scalable reporting systems, and insight-driven products with measurable adoption and impact.
Hybrid or Remote: This role is categorized as hybrid for those within commutable distance. This means the successful candidate is expected to report to our Engineering Technical Center in Warren (MI) or Austin (TX) three times per week at minimum otherwise open to virtual.
Compensation: The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of the California Bay Area.
The salary range for this role is $134,700 to $245,00. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.
Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.
Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.
Company Vehicle: Upon successful completion of a motor vehicle report review, you will be eligible to participate in a company vehicle evaluation program, through which you will be assigned a General Motors vehicle to drive and evaluate. Note: program participants are required to purchase/lease a qualifying GM vehicle every four years unless one of a limited number of exceptions applies.
#LI-RF1
Join the team shaping the platform behind GM’s next generation of software-defined vehicles. Vehicle Software & Electronics Platform Engineering connects electrical architecture, embedded systems, CI/CD, virtualization, and test infrastructure to help turn complex vehicle content into scalable, launch-ready products.
This role is pivotal in ensuring electronics integration becomes a core consideration in vehicle architecture, not an afterthought. At GM, you will have the opportunity to lead at the center of vehicle innovation, influence how software and electronics come together physically across our global lineup, and build the capabilities that will enable faster, safer, smarter, and more cost-efficient vehicles.
The Role:
We are seeking an experienced, visionary leader to head Electrical Integration & Numerical Optimization . In this role, you will own the development of industry leading Numerical Optimization Tools that are used to determine the optimal placement of electronics in GM’s vehicles globally. You will lead the application of these tools to lead the industry in integration for GM’s next generation of vehicles.
This leader thinks beyond traditional physical part packaging, using modeling, numerical optimization, and data to redefine how electrical and electronics systems are physically realized – bridging advanced analytical methods with real-world vehicle execution to translate complex trade-offs of inputs and outputs into clear, data-driven decisions that improve cost, performance, and development velocity at scale. This role directly shapes platform-level architecture decisions, compounding value across programs and scaling across the portfolio, improving both engineering efficiency and product competitiveness.
In addition to leading numerical optimization, you will lead a team of experienced Physical Electrical Integration Engineers to apply the optimization tools while executing the following technologies:
Unifying integration strategies across these areas, ensuring packaging, harness optimization, electrical integrity, manufacturability, and cross-functional execution are addressed consistently and early in vehicle development.
This position reports to the Director of Electrical Engineering Integration , the organization responsible for the physical integration strategy of electronics across GM vehicles.
What You'll Do (Responsibilities):
You will drive one of the most cross-functional and high-impact areas of vehicle development at General Motors.
Your Skills & Abilities (Required Qualifications):
Personal Attributes/Leadership :
What Will Give You A Competitive Edge ( Preferred Qualifications):
Company Vehicle : Upon successful completion of a motor vehicle report review, you will be eligible to participate in a company vehicle evaluation program, through which you will be assigned a General Motors vehicle to drive and evaluate.
Note: program participants are required to purchase/lease a qualifying GM vehicle every four years unless one of a limited number of exceptions applies.
#LI-DH2
]]>General Motors is looking for an experienced Senior Engineer to support automotive transmissions hydraulic-controls and lubrication-system development within Global Virtual Engineering.
This engineer will build plant models and use system simulation models to understand transmission behavior, improve designs, and support decisions throughout product development. The work will connect transmission hardware, hydraulic systems, controls, calibration, testing, and virtual validation.
The ideal candidate can take a complex engineering question, build or select the right model, compare the results with test data, and explain what the results mean for the product.
What you’ll do
Build and use plant models of transmission hydraulic and lubrication systems.
Connect plant models with transmission controls and system-level simulations.
Analyze oil flow, pressure, aeration, temperature, valve-body behavior, solenoid response, clutch fill, shift performance, and shift quality.
Connect component models to system-level transmission models.
Compare simulation results with component, transmission dynamometer, and vehicle test data.
Use analysis to support transmission design, controls, calibration, durability, and test decisions.
Help define requirements for transmission flow, pressure, lubrication, thermal behavior, and performance.
Investigate issues involving hydraulic behavior, shift performance, vibration, durability, friction, wear, and life.
Lead technical reviews, communicate recommendations, and mentor other engineers.
Develop new modeling capabilities to reduce warranty, or to improve first-time capable designs.
Develop new modeling automation methods to reduce development time for new programs.
Basic requirements
Bachelor’s degree in mechanical engineering, electrical engineering, controls engineering, or a related field;
At least 8 years of relevant engineering experience, or an equivalent combination of advanced education and experience.
Experience in two or more of the following areas: transmission hydraulics, fluid power, electro-hydraulic controls, dynamic-system simulation, or 1D computer-aided engineering.
Experience building, using, or reviewing physics-based, control-oriented, or plant models.
Experience comparing models with physical test data and using the results to improve a design or engineering decision.
Experience with hydraulic components or systems such as pumps, valve bodies, valves, solenoids, actuators, clutches, accumulators, dampers, or lubrication circuits.
Ability to work independently, solve complex problems, and deliver results on schedule.
Strong written, verbal, and cross-functional communication skills.
Preferred requirements
Master’s degree or Ph.D. in a related engineering field.
Experience with transmission controls, calibration, clutch fill, shift quality, shift-quality evaluation, or pressure control.
Experience building plant models for controls development, system simulation, or virtual validation.
Experience with Simcenter Amesim, GT-SUITE, Simscape, MATLAB/Simulink, or similar tools.
Experience with valve-body computational fluid dynamics, multiphysics analysis, reduced-order models, or model automation.
Experience with transmission lubrication, oil aeration, bearing behavior, oil jets, thermal management, drain-down/refill, vibration, durability, friction, wear, or life prediction.
Experience with model-in-the-loop, software-in-the-loop, hardware-in-the-loop, dynamometer, vehicle, or other virtual-validation methods.
Experience using Python, MATLAB, or similar tools for data analysis and automation.
Experience leading technical work, working with suppliers, or mentoring engineers.
Develop and implement strategies to improve supply chain efficiency and effectiveness across General Motors' global operations.
Lead cross-functional teams in the design, development, and implementation of new warehousing solutions and technologies.
Analyze complex supply chain data to identify areas for improvement and propose data-driven solutions.
Manage project timelines, budgets, and resources for various supply chain engineering initiatives.
Collaborate with internal stakeholders and external partners to ensure seamless integration of supply chain processes.* Evaluate and select new technologies and best practices in business warehousing to enhance operational capabilities.
Prepare and present reports to senior management on supply chain performance, projects, and strategic recommendations.
Mentor and develop junior supply chain engineering staff
Required Qualifications:
5 years of progressive experience in supply chain, engineering, logistics, or purchasing
(any internship or co-op experience will not be considered)
Demonstrated ability to lead and manage complex projects from conception to completion
Strong analytical, problem-solving, and decision-making skills
Excellent communication, interpersonal, and presentation skills
Ability to work effectively in a fast-paced, dynamic environment
Must be willing to travel 5% Domestically
Preferred Qualifications:
Bachelors Degree
Proven experience in Business Warehousing principles and practices
Experience with Google sheets, Excel, Power BI or related
Key Responsibilities
Contract Extensions
Capacity Tickets
Metrics and Reporting
Expenditure File Management
Change Requests (CRs) and Program Communications
The purchasing intern will report directly to the CT Leader and indirectly to the Global Commodity Manager.
]]>The Role
The Senior Systems Engineer – Serial Data Calibration serves as the technical owner and coordination point for serial-data communications and diagnostics calibration across propulsion control systems. In this role, you will translate vehicle and system intent into repeatable calibration practices, guide calibration engineers, and improve the tools, workflows, documentation, and technical standards that support high-quality product releases.
You will work across current vehicle electrical architectures and next-generation software-defined vehicle systems while partnering with calibration, controls, software, systems safety, validation, and program teams. This role is an opportunity to shape technical direction, strengthen engineering best practices, and help deliver dependable vehicle features to customers.
What You’ll Do
Serve as the primary technical contact for serial-data calibration across engine, transmission, and powertrain control modules, as well as internal and external partner organizations.
Provide technical direction for communication and diagnostics calibration execution, configuration accuracy, and consistent application of standard procedures.
Apply strong working knowledge of vehicle Controller Area Network and Local Interconnect Network communications across current and emerging electrical architectures.
Review calibration guides, software source code, requirements, design intent, and technical documentation to understand what calibrations do, why they exist, and where they apply.
Analyze calibration behavior and test results, identify root causes, and support the resolution of anomalies and product issues.
Review calibration and validation data, interpret technical results, and recommend calibration adjustments when needed.
Partner with System Safety and cross-functional stakeholders to balance technical intent, system requirements, constraints, and program needs.
Break complex calibration behavior into understandable functional components and communicate technical conclusions clearly.
Create and improve tools, workflows, procedures, and training that increase repeatability and reduce manual effort for calibration engineers.
Maintain authoritative Feature-to-Frame configuration documentation and support the upkeep and migration of the Master Calibration Tool to CalCheck.
Support Diagnostics Typing Sheets, calibration reviews, technical training, issue tracking, product health activities, and warranty burn-down actions.
Lead or facilitate serial-data technical reviews and communications-focused communities of practice.
Manage and prioritize serial-data calibration workload while supporting program milestones, launches, and issue resolution.
Help define standard work for new technologies, train calibration engineers, lead requirements-development activities, and drive complex corrective actions to closure.
Promote continuous improvement by challenging unnecessary complexity and incorporating relevant industry practices and technologies.
Your Skills & Abilities (Required Qualifications)
Bachelor’s degree in Mechanical Engineering, Electrical Engineering, Computer Engineering, Chemical Engineering, or a related engineering discipline.
5 or more years of experience in propulsion-system calibration, controls, vehicle communications, diagnostics calibration, or a related technical field.
Strong understanding of calibration execution, calibration strategy, and controls-system functionality.
Working knowledge of vehicle network communications, including Controller Area Network and Local Interconnect Network.
Experience analyzing empirical data, calibration behavior, validation results, or vehicle test data to identify root causes and recommend solutions.
Ability to interpret technical requirements, software behavior, source code, design intent, calibration guides, and system documentation.
Demonstrated ability to lead technical discussions, develop action plans, and drive cross-functional issues to closure.
Strong oral and written communication skills, with the ability to explain complex technical topics to varied audiences.
Ability to work effectively with cross-functional partners and global stakeholders to achieve shared goals.
Strong analytical problem-solving ability, including independent judgment and decision-making skills.
Ability to prioritize work and provide technical direction with limited managerial direction.
Ability to travel domestically and internationally as needed.
Ability to legally operate a vehicle in North America in accordance with GM Safe Driving rules and regulations.
What Will Give You a Competitive Edge (Preferred Qualifications)
Master’s or Ph.D. degree in Engineering.
8 or more years of experience in propulsion calibration, controls, serial-data communications, diagnostics, or a related area.
Experience with calibration and controls tools such as MATLAB/Simulink, INCA, ETAS, CalCheck, or similar platforms.
Experience with Feature-to-Frame configuration, diagnostics typing documentation, master calibration, or calibration-tool development.
Experience supporting current vehicle electrical architectures and software-defined vehicle systems.
Key Responsibilities:
• Initiate and organize project support, including early engagement of engineering subject-matter experts, to develop project scope, Statements of Requirements (SOR) and Requests for Proposal (RFPS).
• Develop design and engineering strategies, alternatives, deliverables and execution plans using professional experience, historical data, GM standards and applicable building codes and construction specifications.
• Lead the design phase for assigned projects and ensure engineering services are procured, coordinated and delivered as intended in the approved scope of work.
• Coordinate multi-discipline team members from engineering, purchasing, safety, project management, construction, contractors and business stakeholders.
• Manage changing priorities, engineering schedules and multiple concurrent projects with minimal direct supervision while maintaining alignment to critical project milestones.
• Review and interpret engineering drawings, specifications, design calculations and construction documents; identify gaps, risks and constructability issues and drive timely resolution.
• Communicate issues, risks, assumptions, schedule impacts and recommendations clearly to project teams, stakeholders and executive leadership.
• Contribute to scope definition, class-level cost estimates, schedules and business-case development for project funding and approval as needed.
• Coordinate with Project Planning, Project Management, Environmental, GPSC and other partners to ensure design deliverables are constructible, biddable and aligned with sourcing and execution strategies.
• Employ rigorous logic and analytical methods to solve difficult design, engineering and schedule problems; probe beyond the obvious and identify future issues before they affect execution.
• Create and execute competitive, innovative and breakthrough facility design concepts that meet internal customer needs for cost, schedule, flexibility, safety and quality.
• Identify and implement process improvements, tools and standards that enhance design management effectiveness, predictability and downstream execution.
• Mentor and provide guidance to less-experienced Design Managers and contribute to building design-management capability within the ICC Construction organization.
• Maintain knowledge of the construction industry, design practices, delivery models, building codes and relevant benchmarking through professional development and industry participation.
• Perform other related duties as assigned.
Required Qualifications:
• Minimum of Bachelor’s degree in engineering, architecture or related field.
• Minimum of 4–6 years of experience in the architectural, engineering or construction field on major commercial or industrial capital projects.
• Experience coordinating facilities design and construction activities for manufacturing, non-manufacturing or comparable complex facilities.
• Experience understanding and reviewing engineering drawings, specifications, construction documents and applicable building codes.
• Knowledge of design management, construction delivery, estimating and scheduling principles and their application to capital projects.
• Strong analytical, organizational, written and verbal communication skills, including the ability to synthesize complex information into clear recommendations.
• Strong computer skills, particularly in Google Docs, Excel, PowerPoint, Word, MS Project and design-review or cost-estimating software.
• Demonstrated ability to work independently, exercise sound judgment, influence cross-functional teams and make effective decisions with incomplete information.
• Demonstrated commitment to safety, quality and compliance with GM policies and procedures.
• Willingness and ability to travel within North America; passport required.
Preferred Qualifications:
• Experience working on automotive or industrial building projects, including OEM, Tier 1 or similar environments.
• Working knowledge of GM organizations, ICC Construction processes and governance for capital planning, design and execution.
• Basic knowledge of automotive manufacturing and assembly processes, including assembly, stamping, powertrain, casting and paint operations.
• Experience with front-end planning, VDP and Appropriation Request (AR) processes for capital projects.
• Experience with design/build, bundled-program or asset-sustainment delivery strategies.
• Master’s degree in architecture, engineering, construction management or business (e.g., MBA).
]]>The Mechatronic Software Platform (MSP) organization enables GM’s Software Defined Vehicle by making sure controllers, benches, and development vehicles are correctly instrumented and ready for calibration and software work.
The instrumentation team operates across many microcontroller families, ECUs, and electrical architectures. We sit at the intersection of ECU hardware, infrastructure software, calibration, and integration, working with SWILs, calibrators, hardware teams, and tool suppliers to ensure measurement, calibration, and trace/debug tooling work reliably on SDV platforms.
The Role:
We are looking for a hands-on Instrumentation Integration Engineer to own SDV instrumentation integration for infrastructure software. This role is part of the Infrastructure Calibration & Release team. This is a doing role, focused on real benches and hardware across multiple microcontrollers and ECU variants. You will ensure controllers are properly instrumented, tools are configured correctly, and issues are found and fixed quickly so development, integration, and calibration can proceed without delay.
Who Thrives Here:
What You’ll Do (Responsibilities):
Your Skills & Abilities (Required Qualifications):
What Will Give You a Competitive Edge (Preferred Qualifications):
#LI-DH2
]]>The Paint Department Automation Engineer is responsible for the safe, reliable, and efficient operation and improvement of automated paint shop systems. This role provides technical leadership for controls, robotics, process automation, plant-floor systems, and equipment integration across the paint department.
The engineer supports daily production, new product and equipment launches, troubleshooting, system upgrades, and continuous improvement. This position works closely with paint operations, skilled trades, maintenance, quality, safety, information technology, manufacturing engineering, suppliers, and contractors to improve safety, quality, delivery, cost, and equipment performance.
This is an onsite manufacturing engineering role requiring regular presence in the paint department and on the plant floor. The role requires shift rotation, weekend, shutdown, or extended-hours support during launches, critical equipment work, troubleshooting, and planned maintenance activities. Travel to supplier or other GM locations may be required based on business needs.
What You’ll Do
Provide engineering support for paint shop automation, including programmable logic controllers, human-machine interfaces, robots, drives, sensors, networks, process monitoring, and equipment interfaces.
Troubleshoot automation faults, controls issues, communication problems, equipment alarms, and recurring production interruptions.
Lead or support the design, programming, integration, installation, commissioning, validation, and launch of new or modified paint equipment and systems.
Develop and maintain automation requirements, control-panel documentation, electrical drawings, software backups, network documentation, equipment standards, and change records.
Coordinate with suppliers and contractors on controls design, equipment build, factory testing, site installation, commissioning, and final acceptance.
Support paint process systems such as pretreatment, electrocoat, ovens, booths, sealer, primer, basecoat, clearcoat, material handling, conveyors, and environmental control systems.
Improve equipment availability, throughput, first-time quality, process stability, energy performance, and material utilization through data-driven problem solving.
Apply structured problem-solving methods to identify root causes and implement sustainable corrective actions.
Support machine safety, risk-reduction activities, safeguarding, validation, lockout requirements, and compliance with applicable GM safety standards.
Collaborate with maintenance and skilled trades to improve preventive maintenance, troubleshooting methods, spare-parts strategy, and technical training.
Support plant-floor systems and manufacturing data interfaces used for production monitoring, routing, tracking, traceability, and reporting.
Participate in program timing reviews, equipment design reviews, readiness assessments, production trials, and launch activities.
Create, maintain, and improve standardized work, programming practices, troubleshooting guides, and engineering procedures.
Provide technical direction to less-experienced engineers, suppliers, contractors, and plant support personnel as needed.
Communicate project status, technical risks, decisions, and results to plant and engineering leadership.
Your Skills & Abilities
Experience supporting industrial automation or controls in a manufacturing environment.
Ability to read and interpret electrical schematics, control-panel drawings, equipment specifications, and engineering documentation.
Demonstrated ability to troubleshoot complex automation and equipment problems using data and structured problem-solving methods.
Strong communication, organization, project-management, and collaboration skills.
Ability to manage multiple projects and priorities with autonomy and accountability.
Commitment to safe work practices and continuous improvement.
What Will Give You a Competitive Edge
Bachelor’s degree in electrical, controls, automation, computer, mechanical, manufacturing, or a related engineering discipline; equivalent relevant experience may be considered.
Working knowledge of programmable logic controllers, human-machine interfaces, industrial networks, drives, sensors, safety circuits, and electrical control systems.
Experience in an automotive manufacturing or paint shop environment.
Experience with Rockwell Automation or Siemens controls platforms, industrial Ethernet, device networks, motion control, and variable-frequency drives.
Experience with Fanuc or other industrial robot systems.
Experience with paint process controls, conveyor controls, material dispensing, environmental systems, or paint quality inspection systems.
Knowledge of plant-floor production monitoring, routing and tracking, traceability, or manufacturing execution systems.
Experience with equipment commissioning, factory acceptance testing, site acceptance testing, or production launch.
The Paint Maintenance Planner coordinates and prepares maintenance work so paint department equipment and facilities can operate safely, reliably, and efficiently. This role develops job plans, schedules planned work, improves preventive-maintenance effectiveness, coordinates parts and resources, and supports maintenance leadership with accurate work-order information and performance reporting.
The planner works closely with maintenance group leaders, skilled trades, operations, manufacturing engineering, safety, quality, purchasing, stores, suppliers, and contractors. The role helps convert equipment needs into executable work that improves safety, uptime, throughput, quality, cost, and environmental performance.
What You’ll Do
Review maintenance requests, equipment issues, inspection findings, and preventive-maintenance requirements for the paint department.
Develop complete work packages that define the scope, sequence, labor requirements, skills, tools, materials, permits, safety controls, and estimated duration for planned work.
Create, update, and monitor work orders, job plans, preventive-maintenance tasks, routes, and equipment records in the computerized maintenance-management system.
Prioritize maintenance work with department leadership based on safety, regulatory requirements, equipment criticality, production impact, quality risk, and available resources.
Coordinate daily and weekly maintenance planning with maintenance group leaders, skilled trades, operations, manufacturing engineering, and other affected departments.
Plan shutdown, weekend, outage, and major repair activities, including work sequencing, contractor coordination, material readiness, and schedule tracking.
Confirm that required parts, tools, equipment, drawings, procedures, permits, and technical support are available before work is scheduled.
Partner with stores and purchasing to identify replacement parts, establish appropriate stocking levels, resolve material shortages, and support point-of-use availability.
Review equipment history, recurring failures, backlog, downtime, preventive-maintenance compliance, and other maintenance data to identify improvement opportunities.
Support root-cause investigations and develop corrective actions that reduce repeat failures and improve equipment reliability.
Coordinate with suppliers and contractors on estimates, scope, site access, safety requirements, work execution, and closeout documentation.
Support maintenance work involving paint process equipment, conveyors, robots, pumps, fans, ovens, booths, pretreatment, electrocoat, sealer, material systems, utilities, controls, and environmental equipment.
Verify that completed work orders contain accurate labor, parts, failure information, follow-up actions, and technical documentation.
Maintain current equipment records, bills of material, preventive-maintenance procedures, inspection routes, drawings, manuals, and maintenance standards.
Participate in maintenance priority meetings, shutdown reviews, equipment buyoffs, reliability reviews, and continuous-improvement activities.
Support safe work planning, including lockout, energy-control requirements, confined-space or hot-work planning when applicable, pre-task planning, and required permits.
Prepare and communicate maintenance schedules, backlog reports, project updates, risks, and completion status to department leadership.
Help develop and maintain standardized work for maintenance planning and improve the quality, timeliness, and execution of planned work.
Your Skills & Abilities
Experience in maintenance, maintenance planning, scheduling, manufacturing engineering, facilities, or industrial operations.
Working knowledge of preventive maintenance, predictive maintenance, corrective maintenance, work-order management, and equipment reliability practices.
Ability to read and interpret equipment manuals, maintenance procedures, technical drawings, electrical schematics, and bills of material.
Ability to work effectively with skilled trades, maintenance leadership, production, engineering, suppliers, and contractors.
Strong organization, prioritization, communication, and follow-through skills.
Ability to work effectively with skilled trades, maintenance leadership, production, engineering, suppliers, and contractors.
Commitment to safe work practices, environmental compliance, and continuous improvement.
What Will Give You a Competitive Edge
Associate or bachelor’s degree in engineering, maintenance, manufacturing, industrial technology, or a related field is preferred.
Experience in an automotive manufacturing or paint shop environment.
Experience planning maintenance for conveyors, pumps, motors, drives, ovens, booths, robots, process systems, utilities, or environmental equipment.
Experience with Maximo or another computerized maintenance-management system, including work-order reporting, job plans, preventive-maintenance schedules, asset records, and bills of material.
Knowledge of maintenance shutdown planning, contractor management, equipment buyoffs, and production-support activities.
Familiarity with reliability-centered maintenance, total productive maintenance, failure-mode analysis, root-cause problem solving, and lean manufacturing.
Knowledge of lockout, energy-control requirements, pre-task planning, hazard recognition, and plant safety systems.
Ability to develop clear job plans and estimate labor, materials, tools, equipment, and work duration.
Experience using a computerized maintenance-management system or comparable work-order system.
Experience using Microsoft Office, maintenance reporting tools, equipment history, downtime data, or dashboard applications.
Technical experience with mechanical, electrical, controls, pipefitting, millwright, or industrial equipment systems.
Ability to manage UAW employees
The Role
GM is developing the next generation of embedded platform software to deliver state-of-the-art ADAS features to our customers. We are looking for an expert Sr. Camera ISP Engineer to join our Autonomous Vehicle team and help us build the best self-autonomous system in the world. In this position, you will be part of the Autonomy Interface Software team, which is responsible for developing camera data pipelines for autonomous vehicles. You will interact with camera hardware engineers, embedded software engineers, systems engineers, Embodied AI engineers, technical program managers internally, and various external imager component vendors to ensure high-quality cameras are designed, manufactured, and tuned. You will be working closely with an embedded software team to enable Camera ISP functionality on new hardware. If you are looking to solve one of today’s most complex engineering challenges, see the results of your work in hundreds of self-driving cars, and make a positive impact in the world, join us.
What You’ll Do
Responsible for delivering Camera Image Signal Processing (ISP) tuning optimized for autonomous vehicle use-cases
Work closely with cross-functional teams and external vendors on specifications, system definition, software development, and image quality tuning and evaluation
Design and execute comprehensive objective and subjective image quality evaluations using lab charts and real-world scenes, selecting appropriate metrics and analyses for each, leveraging tools such as Imatest and other chart/scene-based analysis methods, and developing GM-specific test scripts and IQ specification analysis tools.
Solid understanding of image sensors to optimize HDR sensor configurations and ISP settings for autonomous driving scenarios, aligning objectives and success metrics across EAI, system, and sensor teams.
Work with sensor validation and vehicle fleet teams to perform ISP characterization, image quality tuning and evaluation, and troubleshoot image quality related issues
Collaborate with machine learning engineers and hardware teams to architect sensing strategy for autonomous vehicles at scale
Innovate new techniques and conduct studies in optimizing ISP and performance for machine perception
Your Skills & Abilities (Required Qualifications)
BS, MS/ PhD in imaging science, EE, CS, or similar field with 4+ years of hands-on experience in camera ISP tuning and evaluation
Must have hands-on experience tuning various ISP modules – AE, AWB, HDR processing, noise reduction and sharpness, tone mapping, and color tuning
Experience with different ISP architectures and camera development
Experience characterizing image sensors and tuning image sensor settings
Experience with at least one image quality evaluation software, preferably Imatest
Proficiency in programming languages like C/C++ or Python
Experience in image processing and data analysis
What Will Give You a Competitive Edge (Preferred Qualifications)
Experience with automotive ISP tuning is a big plus
Exposure to firmware design and/or real-time systems
Experience with vendor management and manufacturing processes
Hands-on experience optimizing image sensor–level IQ settings and operating modes to balance noise, dynamic range, motion blur, and artifacts for ADAS/autonomous use cases.
Experience with optimizing camera ISP for computer vision algorithms or Machine Learning.
Experience evaluating how sensor hardware and optical design impact image quality and ISP tuning trade-offs.
Compensation: The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of New York, Colorado, California, or Washington
#LI-EL1
GM Level: 6A
Proposed job-family alignment: Test and Validation Engineering
Primary work location: GM Desert Proving Ground, Yuma, Arizona
Travel: Approximately 10% as needed for training, team alignment, vehicle support, or other GM testing activities
Career track: Individual contributor
General Motors is developing advanced driving-assistance and autonomous-vehicle capabilities that require safe, repeatable, and scalable validation. The AV Test Engineer will be the onsite technical lead for a focused closed-course testing operation at GM’s Desert Proving Ground in Yuma, Arizona.
This role will own day-to-day technical execution for a small assigned fleet of approximately two to three autonomous test vehicles. The engineer will plan and execute closed-course regression, feature, behavior, calibration, and other structured testing; coordinate limited operations personnel supporting the work; and ensure the vehicles, test setup, track activities, data, and results are ready to support engineering and program decisions.
Yuma is intentionally a lean operating environment. There will not be dedicated technicians or additional engineers permanently onsite to provide routine support. The successful candidate must be a self-starter who can operate independently, recognize and resolve common vehicle and AV-system issues, and know when to stop testing or escalate to remote engineering, Service Operations, Fleet Reliability Engineering, Vehicle Integration, or other partners. The role requires comfort moving between test planning, driving and observing closed-course scenarios, vehicle health checks, troubleshooting, data handling, and clear technical communication.
The position is especially important during the winter testing season, when Yuma provides a weather-resilient location to maintain closed-course testing capacity when conditions or schedule constraints limit testing elsewhere. The engineer will help make the local fleet and facility a dependable, repeatable testing capability rather than a temporary campaign location.
Serve as the onsite technical lead for all assigned AV closed-course testing activities at Yuma, translating approved test requests and engineering objectives into executable plans, procedures, schedules, and resource requirements.
Plan and execute repeatable software regression, feature and behavior validation, structured scenario, calibration, fault-response, and targeted data-collection tests.
Coordinate daily test sequencing, track reservations, vehicle assignments, operating windows, safety reviews, and test readiness with remote AV Test Engineering and cross-functional stakeholders.
Direct and brief limited operations personnel supporting test execution, including task assignments, vehicle preparation, track setup, lead-vehicle or target support, run sequencing, communications, and post-run closeout.
Provide clear technical direction during test execution while maintaining the distinction between engineering ownership and operations execution responsibilities.
Make timely onsite decisions about whether a test is ready to proceed, should be modified, should be repeated, or must be stopped and escalated based on vehicle condition, system behavior, track conditions, weather, data quality, or safety risk.
Support extended or non-standard testing schedules when required by release timing, track availability, seasonal priorities, or campaign needs, consistent with site and safety requirements.
Act as the primary technical owner for approximately two to three assigned AV test vehicles, maintaining awareness of their configuration, software and calibration state, physical condition, instrumentation, data-recording readiness, and current availability.
Perform or coordinate daily vehicle checkouts, pre-drive readiness checks, post-drive inspections, charging or fueling coordination, sensor and camera cleanliness checks, hard-drive or data-media handling, and other activities required to keep vehicles test-ready.
Manage vehicle configuration and test preparation activities, including approved software or branch deployments, calibration updates, route or map selection, logging configuration, test tools, and required test assets.
Maintain accurate vehicle status, mileage or test-hour records, configuration information, test history, open issues, and return-to-service decisions for the local fleet.
Identify vehicle downtime risks early and develop practical containment, recovery, and escalation plans to protect testing availability.
Coordinate parts, materials, shipping, facility resources, charging support, and remote technical assistance when onsite needs exceed available capability.
Build and maintain a winter-readiness plan for the Yuma fleet, including vehicle availability, spare equipment, data-storage capacity, charging or fueling needs, test assets, operating procedures, and contingency plans.
Perform first-line technical triage for issues involving the AV software stack, vehicle compute, sensors, localization, calibration, connectivity, data recording, host-vehicle systems, vehicle networks, power or charging, and test infrastructure.
Use vehicle symptoms, operator observations, system status, logs, drive data, diagnostic tools, and repeatable experiments to isolate likely causes and determine the next action.
Reproduce issues when safe and practical, capture accurate timelines and evidence, and create actionable issue reports for remote engineering or support teams.
Distinguish between issues that can be safely contained or corrected onsite and issues requiring vehicle removal from service, engineering review, formal change control, or additional safety assessment.
Partner with Troubleforce, Service Operations, Fleet Reliability Engineering, Vehicle Integration, AV software and hardware teams, and other remote experts to drive issues toward resolution.
Support controlled fault-injection or non-nominal testing when requested, ensuring that test intent, expected system response, safety controls, and data-labeling requirements are understood before execution.
Develop practical troubleshooting guides, recovery procedures, checklists, and escalation paths that reduce dependence on ad hoc support and improve repeatability for future Yuma personnel.
Execute test procedures consistently and capture complete run information, including vehicle, software, calibration, map, track, scenario, operator, weather, and timing details.
Evaluate AV behavior and system response against defined test objectives and acceptance criteria, distinguishing objective evidence from anecdotal observations.
Capture and communicate pass, fail, blocked, incomplete, and inconclusive outcomes with enough context for engineering teams to act without repeating avoidable setup work.
Ensure drive links, logs, hard drives or data media, notes, screenshots, issue references, and other required evidence are transferred or uploaded through approved workflows.
Review test data for completeness, corruption, missing signals, unexpected configuration changes, or other conditions that could limit its usefulness.
Publish concise test summaries and status updates to the appropriate engineering and operations forums, and maintain traceability in tools such as Jira, Confluence, Xray, Slack, and approved data or fleet-management systems.
Provide timely feedback to remote software, systems, simulation, safety, and program teams so that test results support release decisions, feature refinement, and issue prioritization.
Help stand up and continuously improve the permanent Yuma closed-course testing capability, including roles, standard work, readiness gates, communications, operating rhythms, and handoffs with the broader AV Test Engineering and AV Operations organizations.
Maintain a repeatable intake-to-execution workflow for local test requests, including request clarification, prioritization, planning, execution, results reporting, and issue follow-up.
Create and maintain onsite documentation for vehicle checkout, test preparation, track use, safety controls, data handling, troubleshooting, emergency response, and end-of-day closeout.
Coordinate with DPG Site Operations, Safety, Infrastructure, Mapping, security, and other facility partners to ensure the local operation meets site requirements and has the resources needed to execute safely.
Track local performance indicators such as vehicle availability, test hours, completed runs, blocked runs, downtime, repeat failures, data-upload timeliness, issue aging, and test-request cycle time.
Identify opportunities to increase usable testing hours, reduce avoidable setup and reset time, improve vehicle utilization, and shift repeatable work to appropriately trained operations personnel.
Capture lessons learned from winter testing and other campaigns and convert them into improved test plans, asset requirements, procedures, and recommendations for future scaling.
Follow all GM, DPG, AV Operations, AV Test Engineering, and applicable safety procedures and work controls.
Verify that required personnel, training, vehicle qualifications, test equipment, track conditions, emergency support, communications, and approved procedures are in place before testing begins.
Stop work and escalate when vehicle condition, system behavior, weather, track conditions, personnel readiness, facility conditions, or test setup creates unacceptable risk.
Maintain the requirement that testing is conducted with appropriate onsite personnel and never rely on unsupported lone-person operations or unapproved after-hours activity.
Support incident, near-miss, and abnormal-event documentation with accurate facts, timelines, evidence, and follow-up actions.
Bachelor’s degree in mechanical, electrical, automotive, systems, computer, robotics, aerospace engineering, computer science, or a related technical discipline.
At least 3 years of relevant experience in autonomous vehicles, automotive engineering, robotics, aerospace, vehicle testing, systems integration, test engineering, or a related technical operations environment.
Experience planning and executing vehicle, robotics, or other complex electro-mechanical system tests in a laboratory, proving-ground, field, or comparable operational environment.
Experience troubleshooting software-enabled hardware systems using diagnostic information, logs, measurements, observations, and structured problem-solving methods.
Ability to read and apply test procedures, requirements, acceptance criteria, operating instructions, and safety controls.
Demonstrated ability to work independently, establish priorities, take initiative, and maintain ownership in an environment with limited onsite support.
Ability to provide clear technical direction to operators, coordinators, contractors, or other support personnel during test execution without formal people-management responsibility.
Strong written and verbal communication skills, including concise technical reporting, issue escalation, and remote collaboration across time zones and functions.
Ability to work outdoors and in a proving-ground environment with exposure to heat, cold, dust, wind, sun, noise, vehicle traffic, and changing work conditions.
Ability to perform hands-on vehicle readiness and troubleshooting activities, including inspecting vehicles, connecting or handling test equipment and data media, and moving through vehicle and track environments as required.
Ability to work onsite at GM Desert Proving Ground in Yuma, Arizona, and travel approximately 10% as needed.
Valid driver’s license and ability to meet applicable GM driver-training, vehicle-qualification, site-access, and safety requirements for closed-course vehicle testing.
Direct experience testing autonomous vehicles, advanced driver-assistance systems, mobile robots, or other safety-critical autonomous systems.
Experience with closed-course test execution, proving-ground operations, scripted scenario testing, release regression, feature validation, calibration support, or structured data collection.
Experience owning a small test fleet or vehicle asset set, including vehicle readiness, configuration management, downtime recovery, maintenance coordination, and return-to-service decisions.
Working knowledge of software-defined vehicle concepts, SDV 2.0 architecture, vehicle compute, electronic control units, over-the-air or branch-based software deployment, vehicle configuration, and software/hardware change management.
Experience with automotive diagnostics, CAN or Ethernet-based vehicle networks, sensors, localization, calibration, time synchronization, data recording, connectivity, or AV system health monitoring.
Familiarity with AV and vehicle tools such as Xray, INCA, Vehicle Spy, Notelogger, SC3 Debug App, Jumpstart, Launchpad, Starfleet, HAT, Drives, Webviz, Netradyne, Grafana, Looker, or comparable tools.
Experience using Linux, command-line tools, Python, SQL, spreadsheets, or other methods to inspect logs, automate repetitive analysis, or improve test and fleet reporting.
Experience directing small operational teams or contractors in a safety-critical, field, laboratory, proving-ground, or shift-based environment.
Experience working at GM Desert Proving Ground, Yuma Proving Ground, Milford Proving Ground, or another proving ground with limited onsite technical support.
Familiarity with formal issue-management, root-cause, change-control, safety-case, or corrective-action processes.
Experience testing in variable weather, winter conditions, desert conditions, or other environments where facility and vehicle readiness directly affect test capacity.
Compensation: The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of New York, Colorado, California, or Washington.
Benefits:
Relocation: This job may be eligible for relocation benefits.
Onsite: This role is based hybrid from Yuma, AZ. You are expected to report to that location three times a week, at minimum.
]]>General Motors Software Development teams build and deliver innovative, sophisticated systems for GM customers, dealers, and employees around the world. Our teams include industry-leading developers, architects, and designers who use modern development methodologies and technologies to drive innovation, create business value, and deliver exceptional experiences.
We are seeking a Senior Mainframe Software Engineer to design, develop, maintain, support, and modernize enterprise applications that enable critical GM business operations. This role will develop solutions that drive innovation and competitive advantage while ensuring the reliability, security, performance, and maintainability of GM’s systems, applications, and platforms.
The Senior Mainframe Software Engineer will participate across the full software development lifecycle, from project initiation and requirements analysis through design, development, testing, deployment, production support, and continuous improvement. The role will collaborate closely with developers, architects, system analysts, business stakeholders, and other cross-functional partners to deliver high-quality solutions aligned with GM standards and requirements.
Develop, maintain, troubleshoot, and modernize enterprise applications using COBOL, PL/I, JCL, DB2, IMS, and related z/OS technologies.
Analyze business and technical requirements and translate them into scalable, secure, and maintainable technical designs.
Perform coding, unit testing, debugging, code reviews, deployment, and production support activities.
Design and implement data mapping, integration, batch-processing, and application-interface solutions.
Leverage AI-assisted development tools (GitHub Copilot, Cursor, or similar) throughout the SDLC to accelerate delivery.
Work with CICS, VSAM, MQ and other mainframe technologies as required by the application environment.
Investigate incidents, perform root-cause analysis, and deliver timely, durable resolutions.
Configure, optimize, and deploy packaged software or other enterprise platforms when applicable.
Collaborate with architects and project teams to ensure designs, development practices, and delivered solutions meet GM quality and security requirements.
Support application modernization, migration, cloud-integration, and continuous improvement initiatives.
Promote efficient code reuse, standardized engineering practices, automated testing, and secure software design.
Work effectively in Agile, Scrum, DevOps, iterative, or other software-development environments.
Provide technical guidance and mentoring to less-experienced team members.
Participate in on-call and production-support activities as needed.
Bachelor’s degree in Computer Science, Information Technology, Software Engineering, or a related field; equivalent professional experience may be considered.
7+ more years of mainframe software-development experience.
Strong hands-on experience with COBOL, PL/I, JCL, DB2, IMS, and z/OS.
Proven experience with modern code management and CICD practices including GitHub, GitActions, or Azure DevOps (ADO)
Understanding and use of GenAI or Agentic AI in analytical and development workflows.
Experience with CICS, VSAM, batch processing solutions such as IWS or CA7, and production support.
Experience with relational databases, data integration, SQL and enterprise application interfaces.
Understanding of the software development lifecycle and software-development methodologies such as Agile, Scrum, Iterative, or Waterfall.
Strong understanding of application security, software design, maintainability, and efficient code reuse.
Strong analytical, communication, troubleshooting, and problem-solving skills.
Ability to work collaboratively with technical teams, business stakeholders, and cross-functional partners.
Experience with modern mainframe toolsets for discovery, profiling, and migration automation
CI/CD experience in defining and managing the build, deployment, and release pipelines
Hands-on experience using Java, REST, microservices, and containers (Openshift Container Platform or Docker/Kubernetes) and integrating mainframe and midrange applications in a hybrid ecosystem
Solid understanding of midrange platforms and frameworks such as Spring Boot and Spring Framework.
IBM tools: IDz, ITOM, RACF, Connect-Direct, IWS, ADDI, ZOWE, ZoS Connect, IBM BoB
Hands-on experience in Test Automation
Experience with packaged enterprise software such as SAP, Adobe, SFDC or similar platforms.
Experience with mainframe modernization, migration, cloud integration, or platform transformation.
Experience supporting supply chain, manufacturing, vehicle order management, or other large-scale enterprise systems.
Experience providing technical leadership, mentoring developers, or influencing engineering standards.
This role is categorized as hybrid. The successful candidate is expected to report to GM Warren Global Technical Center three times per week, or as dictated by business needs.
The Role
The GMNA Order Fulfillment Manager, Volume Planning & Allocation, is responsible for leading the processes that translate production availability, dealer demand, and business priorities into executable vehicle allocation plans across the dealer networks in the United States, Canada and Export markets. This role brings together volume planning, consensus processes, STMI, Port Consensus, and Fulfillment Center activity. It also partners closely with GM Fleet, Field teams, Marketing, GMIT, GM Legal, and Demand Supply/Scheduling to support effective Order Fulfillment execution. The ideal candidate should bring experience working with GM divisions, field organizations, dealer operations, or related areas to help connect business needs with practical allocation solutions.
What You’ll Do
Lead the Volume Planning & Allocation team and maintain common U.S., Canada, and Export business processes for Estimated Shipments, Consensus, Variance Resolution, and Port Consensus.
Determine split of current Consensus month’s estimated shipments into Cycle 1 and Cycle 2, and all STMI volumes. Equalize the estimated shipment volumes in each cycle to the extent possible.
Calculate order requirements for the current and three subsequent Consensus months, partnering with Order Fulfillment Scheduling, and executive leadership to determine final U.S. and Canada retail estimated shipment volumes by allocation group.
Manage build-out, start-up, launch, controlled allocation, production risk communication
Manage planning calendars, consensus tracking, historical records, and related requirements; some weekend and late-night work may be required to support time-sensitive data and communications.
Lead the STMI process and support Legal allocation challenges and state legislation through analysis, documentation retention, audit support, and maintenance of the ILM Record Identification Matrix.
Represent the Allocation team in Launch, Vertical, EV Future Retail, and other cross-functional meetings; support IT portfolio submissions, system development projects, user acceptance testing, and sustainable process and technology improvements.
Lead and develop the team in a hybrid environment, including training, staffing, communications, business continuity, compliance, access validation, and a professional workplace culture.
Your Skills & Abilities (Required Qualifications)
7+ years of management or demonstrated leadership experience in order fulfillment operations, GM divisions, Field organizations, dealer operations, or related business areas.
Experience with GM applications such as Order Workbench, VOM, POMS, and SPA.
Proficiency in Microsoft Excel, including data analysis, reporting, and visualization tools.
Must possess and maintain the ability to legally operate a motor vehicle in accordance with the licensing requirements of the states in which work is performed
What Will Give You A Competitive Edge (Preferred Qualifications)
MBA or equivalent work experience.
Ability to work through complex problems under tight deadlines.
Strong organizational, time-management, decision-making, critical-thinking, and analytical skills.
Strong written, oral, and presentation communication skills.
Strong knowledge of GM products and customer requirements.
Strong ability to collaborate effectively with business partners at all levels.
Ability to ask critical questions and hold stakeholders accountable for deliverables within a multiple-stakeholder model.
Appropriate interpersonal styles and communication methods to work effectively with business partners at all levels.
Ability to work independently and take initiative.
Experience with GM divisions, field organizations, dealer operations, or related areas is beneficial; strong operational, analytical, leadership, and cross-functional collaboration skills are encouraged.
Responsibilities:
Team Leadership & Development: Mentor and manage a team of logistics professionals, providing direction, support, and performance feedback to ensure individual and team success.
Observes and steps up to remove roadblocks and resolve potential issues.
Strategic Network Optimization: Drive tactical and strategic design changes to the finished vehicle logistics network, identifying opportunities for cost savings and efficiency improvements. Lead Network performance validation Actual vs Forecast on cost savings and premium.
Project & Process Management: Oversee the planning and execution of logistics projects, ensuring alignment with business goals and timely delivery of results. Experienced in defining transportation methods balancing cost, service, and quality.
Systems & Data Accuracy: Ensure logistics systems are maintained with high accuracy and integrity to support data-driven decision-making. Lead Finished Vehicle routing and distribution in North America, Mexico and Canada.
Innovation & Problem Solving: Champion creative solutions to complex logistics challenges, leveraging technology and data architecture from cross-functional collaboration.
Drive continuous improvement, change management, and data-driven decision-making across the network-design function.
Promote GM's values and makes customer-focused decisions.
Purchasing & Vendor Support: Collaborate with procurement teams to support sourcing strategies with data-driven network and cost analysis.
Required Qualifications:
Bachelor's degree
5+ years relevant post-graduate work experience in logistics, automotive purchasing, supply chain, program/product management, or manufacturing
Strong analytical, data architecture and data analytics skills (e.g. Databricks, Google Sheets/Excel, SQL, or Python)
Expert in analytics tools with ability to learn new tools/systems quickly
Ability to own the outcome and drive long-term projects through to completion
Project management and cross-functional collaboration to drive innovation and embrace change within the Finished Vehicle network design team
Strong communication and interpersonal skills to work with other cross-functional areas such as operations, purchasing, IT, manufacturing & sales
Attention to detail and data integrity and ability to deal with ambiguity
5-20% Travel Domestically + Internationally
Preferred Qualifications:
Master's degree in Supply Chain Management, Business, or related advanced degree a plus
Familiarity with Finished Vehicle TMS Systems
Data Visualization Skills (e.g. Power BI, Tableau)
Network Design Software (e.g. Optilogic)
People Leader Experience is a plus
GM continues to develop and roll out its all-new Digital Retail Platform (DRP), delivering an omni-channel learning, shopping, and buying experience through brand.com and dealer websites. The platform enables customers to buy or lease their next vehicle with a dealer 100% online, 100% in-store, or anywhere in between.
The Associate Director will develop the ongoing vision and oversee execution of the end-to-end Customer Experience (CX) and Dealer Experience (DX) for each GM brand’s DRP, including Chevrolet, Buick, GMC, Cadillac, and CarBravo in the United States and Canada, excluding CarBravo in Canada. This role will drive customer and dealer adoption and utilization across all GM brands while advancing continuous innovation and addressing customer, dealer, and brand needs through platform enhancements that support key business outcomes and digital sales.
What You’ll Do
The Role
The Sales Support Regional Coordinator provides comprehensive operational, administrative, and financial coordination support for the Region. This role is a key partner to five Regional Directors (RDs), a Regional Manager of Business Operations (RMBO), and other regional team members -- ensuring the office operates efficiently, regional travel and events are well planned and executed, and regional financial processes are completed with accuracy and integrity.
The Regional Coordinator is a highly organized, proactive problem solver who manages multiple priorities, represents the region with professionalism and positivity, and frequently steps in to support peers and other regions as business needs evolve.
Job Type:
This role is categorized as hybrid. This means the selected candidate will report to the specified office at least 3 times per week.
What You’ll Do
Your Skills & Abilities (Required Qualifications)
Compensation: The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position, as well as geography of the selected candidate.
The salary range for this role is $95,200-$126,500. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.
Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.
Benefits:
Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.
Execute and optimize performance marketing campaigns (Paid Media, Search, Social, Programmatic) focused on leads, sales, and ROI.
Monitor, analyze, and report on key media and business KPIs: CPL, CPA, ROAS, CTR, CVR, LTV, funnel performance, and cohorts.
Manage and activate customer and lead databases for segmentation, remarketing, and personalized campaigns.
Operate and support CRM platforms (Salesforce, Adobe, HubSpot, or similar) for lead nurturing, automation, and performance measurement.
Support growth marketing initiatives, including A/B testing, funnel optimization, audience strategies, and messaging experiments.
Coordinate and oversee media and performance agencies, ensuring deliverables, SLAs, and performance outcomes.
Translate data and insights into clear, actionable optimization recommendations.
Support the development of dashboards and executive reports to enable data-driven decision-making.
Dashboard creation
Required Experience
2–5 years of experience in digital marketing, media performance, or growth marketing roles in agile environments.
Experience within retail, CPG, services, or performance-driven environments (omnichannel exposure preferred).
Hands-on experience managing always-on campaigns and continuous optimization cycles.
Direct collaboration with media, creative, and data agencies.
Technical / Hard Skills
Bachelor’s degree in Economics, Actuarial Science or Industrial Engineering.
Advanced English.
Media platforms: Google Ads, Meta Ads, TikTok Ads, DV360 (or similar).
Digital analytics: Google Analytics, Adobe Analytics (preferred).
CRM and CDP platforms: Salesforce, HubSpot, Adobe Campaign, or equivalent.
Database management and audience segmentation for activation.
Basic to intermediate SQL skills (data querying, extraction, and validation).
Dashboards and reporting: Looker, Power BI, Tableau, or advanced Excel.
Strong understanding of funnels, attribution models, and performance KPIs.
Model Attribution
Databricks Integration
Work Properly.
Hybrid: This position requires to work 3 days on site 2 days at home remote on a full-time basis.
In case you need any reasonable adjustment to continue with your process, let your recruiter know.
Remember to attach your CV when applying to this vacancy.
As a Manufacturing Engineering Intern for Global Automation, you will be exposed to various positions and assignments in plant and corporate staff locations throughout the United States sought to cultivate development and to educate.
What You’ll Do:
Positions the organization are hands-on and engaging. You will learn problem solving on the fly, to work collaboratively with many members of the team, and interface with new and exciting technologies. Most assignments will be located in Warren, MI, strategic partners around Southeast Michigan, or manufacturing sites in Michigan. Examples of Manufacturing Engineering assignments available include:
Analyze product, process, and technology to craft best methods to assemble vehicles, and protect the manufacturing process
Recommend and validate improvement for existing processes
Support evaluation of innovative technologies to address current manufacturing challenges
Develop tools to improve program/project management
Support implementation of cybersecurity tools for manufacturing
Assist in the design, build, and validation of tools and equipment
Programming of manufacturing technology
Assist maintenance personnel in operation and maintenance of specialized equipment
Troubleshoots special maintenance and equipment problems
Coordinate machinery and equipment upgrade projects
About the Roles & Responsibilities:
Develop processes, equipment, and tools for 50 Assembly, 30+ Stamping, and 30 Propulsion Plants, and approximately 30 launches each year globally
Program & Integrate Software and Hardware on industrial automation equipment. Including but not limited to Rockwell & Siemens PLCs + HMIs, Fanuc Robots, vision guidance systems & various other automation control devices.
Understand current automation safety standards and ensure they are upheld
Collaborate with other centers to reduce energy and waste globally
Assist in the development of new software, hardware & error proofing standards to reduce cost and improve efficiencies
Review, update & approve wiring diagrams for various systems & networks
Drive collaboration with equipment suppliers to ensure first time quality and on time delivery, installation and runoff of automation equipment
Required Qualifications:
Pursuit of a bachelor’s degree in Engineering or Technology in one of the following areas: Automation, Automotive, Computer/Computer Science/Computer Animation, Construction Management, Industrial, Information Technology, Kinesiology, Machine Learning, Manufacturing, Mechanical, Mechatronics, Robotics, Software, or equivalent
Must be graduating December 2027 and June 2029
Able to work full-time, 40 hours per week during the summer months
Must be willing to work any shift, potentially including weekends
Must be willing to work in a plant environment
What will give you a competitive edge (Preferred Qualifications):
Insatiable curiosity and desire to learn
Prior experience in field of study
Conceptual understanding and/or experience in any of the following:
Controls – software, hardware development or execution
Developing tools, equipment, or processes such as layouts
Exposure to manufacturing processes: components to product assembly
Simulation/Game design or development
Artificial intelligence, machine learning, machine vision equipment or systems
Automation or automated equipment such as conveyance or robotics
Information Technology or Network design
Construction or installation planning, process, or execution
Human factors, ergonomics
Consistently demonstrates innovative thinking that is customer-centric
Able to work independently and with a team
Outstanding interpersonal and relationship management skills with the ability to effectively collaborate with varying levels of the organization and external partners
Emerging partnership and collaboration skills and ability to learn from and share knowledge with co-workers in a fast-paced environment
High level of integrity, ability to deal with ambiguity, takes initiative/self-directed
Knowledge of statistical methods as applied to experimental design and process development
Job locations can be at Manufacturing Engineering headquarters in Warren, Michigan or in various plant locations throughout the U.S. Plant locations may include:
Warren, MI
Detroit-Hamtramck, MI
Brownstown, MI
Bay City, MI
Flint, MI
Lansing, MI
Orion, MI
Milford, MI
Fort Wayne, IN
Arlington, TX
Bowling Green, KY
Spring Hill, TN
Wentzville, MO
Fairfax, KS
Toledo, OH
Parma, OH
Travel varies based on assignment and may be required to strategic partners and plants.
GM does not provide immigration-related sponsorship for this role. Do not apply for this role if you will need GM immigration sponsorship now or in the future. This includes direct company sponsorship, entry of GM as the immigration employer of record on a government form, and any work authorization requiring a written submission or other immigration support from the company (e.g., H1-B, OPT, STEM OPT, CPT, TN, J-1, etc.)
Onsite: This role is categorized as onsite. This means the successful candidate is expected to report to Warren, MI (or assigned location) on a full-time basis.
GM will provide a one-time lump sum taxable stipend payment to eligible students selected for the 2026 Student Program.
To help facilitate administration of relocation benefits if you are selected, please apply using the permanent address you would move from.
Start dates for this internship role are May & June of 2027.
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