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
]]>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
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.
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
]]>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
]]>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 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):
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.
]]>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)
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.
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 .
]]>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.
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)
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.
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
]]>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.
]]>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.
Group Manager – Cell Systems Research & Modeling
The Group Manager will lead the strategy and execution of cell systems research spanning experimental characterization, physics-based and empirical modeling, and the practical application of AI/ML to experiments and analysis. This role will convert high-quality cell data and mechanistic understanding into predictive insights that accelerate technology evaluation, inform supplier and design decisions, improve failure analysis, and guide development from materials through full cells across vehicle, energy-storage and other battery cell programs.
The successful candidate will bring the technical depth and leadership needed to deliver these outcomes, including expertise in fundamental electrochemistry, battery materials and cell modeling, data science, and AI/ML. They will demonstrate exemplary people leadership, sound technical judgment, and strong cross-functional influence while operating effectively in a matrix organization and collaborating across R&D, engineering, vehicle and energy-storage programs, and suppliers.
This position requires full-time on-site work.
What You'll Do
Set the strategy, priorities, resource plans, and execution roadmap for cell characterization and physics-based and empirical modeling across materials, components, prototype cells, and production-relevant formats.
Build and lead a high-performing multidisciplinary organization through hiring, coaching, development, feedback, performance management, recognition, and succession planning. Foster a culture of accountability, inclusion, trust, and continuous learning.
Lead cross-functional teams across characterization, modeling, cell design, materials, safety, manufacturing, engineering, and program organizations. Clarify roles, interfaces, decision rights, dependencies, and shared accountability.
Build trusted partnerships, align stakeholders with competing priorities, resolve conflicts constructively, and communicate technical conclusions clearly to experts, senior leaders, program teams, and suppliers.
Build and sustain characterization capabilities including cell performance testing, three-electrode methods, electrochemical diagnostics, impedance, thermal and mechanical response, and failure analysis.
Lead development and application of models spanning electrochemical, thermal, mechanical, transport, and degradation behavior. Use model outputs to prioritize experiments, quantify tradeoffs, reduce uncertainty, and accelerate program decisions.
Define the material parameters and data needed for modeling and AI/ML integration, including the required personnel, instrumentation, measurement methods, and workflows.
Establish rigorous practices for parameterization, calibration, validation, uncertainty assessment, data curation, model quality, traceability, and responsible AI/ML use. Leverage existing Databricks capabilities and promote repeatable workflows across teams and chemistries.
Develop a model- and data-driven decision system that identifies informative experiments, accelerates learning cycles, and makes uncertainty and confidence visible to decision makers.
Provide actionable technical insight for technology evaluation, supplier assessment, technology down-selection, technology transfer, and vehicle and energy-storage programs.
Success Measures
High-quality characterization data, validated models, and integrated technical insight delivered on program-relevant timelines.
Faster and more confident decisions supported by connected experiments, physics-based understanding, AI/ML-enabled analysis, and clear uncertainty assessment.
Shorter issue-resolution cycles through stronger diagnostics, root-cause analysis, and focused validation plans.
Broad adoption of the team’s methods, data, models, and technical guidance across research & development, engineering, and program teams.
Strong team performance, engagement, talent development, and succession readiness.
Your Skills & Abilities (Required Qualifications)
PhD in Materials Science, Chemistry, Chemical Engineering, or a related technical field; equivalent relevant experience may be considered.
15+ years of relevant experience in battery cell characterization, electrochemistry, diagnostics, physics-based modeling, simulation, AI/ML-enabled analytics, or a combination of these areas.
Demonstrated depth in at least one core discipline and the ability to integrate and lead work across the others.
10+ years of experience leading people, highly technical teams, major technical programs, or cross-functional research efforts, including talent development and performance responsibility.
Experience leading cross-functional teams in a matrix organization, including stakeholder alignment, resource coordination, dependency management, conflict resolution, and influence without authority.
Demonstrated success setting technical direction and translating research into engineering, product, supplier, or program decisions.
Strong communication, collaboration, coaching, feedback, and relationship-building skills, with the ability to work effectively with technical experts, senior leaders, program teams, and suppliers.
What Will Give You A Competitive Edge (Preferred Qualifications)
Advanced technical depth in electrochemistry, physics-based modeling, or AI/ML-enabled analytics.
Experience developing and validating electrochemical, thermal, mechanical, transport, or degradation models against cell-level data.
Experience applying AI/ML to diagnostics, prediction, experiment prioritization, digital engineering, virtualization, uncertainty quantification, or automated decision support.
Experience leading organizational growth, transformation, or integration of previously separate technical capabilities, including organizational design and change management.
Knowledge of GM technology development, battery validation, supplier assessment, and technology-transition processes.
Experience establishing shared technical standards, communities of practice, or capability roadmaps across organizational boundaries.
As a Principal Software Systems Engineer in the Autonomy Behavior Validation team, you will set the technical direction for turning safety and behavior requirements into a production-grade counterfactual simulation product.
You will build a capability that turns real incidents and simulation scenarios into trustworthy engineering evidence for developers, release decisions, and launch decisions. This includes scene reconstruction, implementation of safety-defined attentive-human benchmarks, human and other road-user response models, counterfactual simulation following intervention, controlled scene variation, outcome and severity estimation, and the validation needed to understand when a result is credible enough to support a decision. You will partner with Safety and other stakeholders to define and refine requirements and benchmark definitions, then turn them into scalable, auditable, and repeatable simulation workflows.
Set the technical strategy and architecture for counterfactual behavior evaluation, including operationalizing safety-defined attentive-human benchmarks, counterfactual simulation following human intervention, alternate-policy comparisons, and controlled scene perturbations.
Lead the conversion of real incidents and simulation events into executable, provenance-preserving scenarios with enough fidelity, repeatability, and uncertainty characterization to support engineering and safety decisions.
Implement and validate human and other road-user response models against agreed benchmarks and requirements, including perception and reaction timing, maneuver selection, vehicle dynamics, and the range of plausible outcomes.
Define and deploy scalable pipelines for parameter extraction, scene reconstruction, counterfactual swaps, fuzzing, simulation execution, outcome estimation, and analysis of large scenario sets.
Establish how the counterfactual product and its outputs are validated, including comparison to baseline runs, replay and closed-course evidence, model limitations, confidence, traceability to requirements, and appropriate use of results.
Lead work across Behavior, Simulation, Safety, Human Factors, Legal, Product, and Operations, turning complex results into clear engineering actions, safety-case evidence, and release recommendations.
Master’s degree in systems engineering, mechanical engineering, aerospace engineering, electrical engineering, computer science, robotics, human factors, or a related field.
10 or more years of professional experience in autonomous vehicles, robotics, vehicle development, simulation, systems engineering, human factors, or safety-critical validation.
A proven record of evaluating autonomous vehicles for a self-driving fleet, launch, supervised release, or other high-consequence product decision.
Strong understanding of human behavior modeling, driver response, perception and reaction time, vehicle dynamics, uncertainty, and the limits of model-based conclusions.
Deep experience building or leading counterfactual, replay, crash reconstruction, incident analysis, or comparable simulation-based evaluation capabilities.
Professional experience with simulation evaluation at scale, including scenario generation, parameter sweeps, distributed execution, reproducibility, data quality, and the trade-offs between fidelity, confidence, runtime, and cost.
Strong Python and agentic workflow experience. You should be comfortable designing and reviewing production-quality analysis, simulation, and validation software and using code to investigate an engineering question quickly.
Strong written and verbal communication skills, with the ability to explain technical results, assumptions, and limitations to both engineering and non-engineering stakeholders.
Demonstrated technical leadership across organizational boundaries and evidence of setting direction beyond a single project through a methodology, platform, framework, or reusable validation capability adopted by other teams.
Experience operationalizing attentive-human benchmarks from naturalistic driving data, human factors research, expert review, or experimentally grounded response-time and maneuver models.
Experience with traffic collision reconstruction or incident reconstruction using vehicle logs, sensor data, maps, physical constraints, and other evidence sources.
Experience modeling other road-user behavior and the interaction between ego behavior, participant response, and environmental conditions.
Experience with collision severity, injury-risk, risk quantification, safety claims, safety cases, hazard analysis, or residual-risk decisions.
Experience validating simulation fidelity and counterfactual predictions against real drives, non-intervened events, closed-course tests, or other independent evidence.
Experience translating legal or regulatory expectations into defensible reconstruction methods, validation evidence, or documented claims.
A track record of developing engineers, leading technical communities, and making a broader organization better at systems engineering, simulation, and validation.
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 $238,700 to $365,700. 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
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.
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
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 Elevation Center three times per week, at minimum [or other frequency dictated by the business
About 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 contribution will enable customers to enjoy a premium audio experience.
What You'll Do
Additional Job Details:
Your Skills and Abilities (Required Qualifications)
JOB DUTIES:
Compensation:
The salary range for this role is $115000 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:
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, evaluation infrastructure, 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 and infrastructure, turn system-level results into clear feedback for engineering and leadership, and help accelerate validated AV deployment at scale.
We are looking for a Senior Manager to lead a critical autonomy evaluation area spanning platform, methodology, and organizational execution. This leader will combine deep technical judgment, strong people leadership, strategic planning, and cross-functional influence to define how evaluation supports product, safety, and release decisions across GM’s autonomous driving programs.
What You’ll Do
Own the strategy, roadmap, and operating plan for a distinct Autonomy Evaluation business area spanning methodology, platforms, and infrastructure ensuring alignment with autonomy product goals, safety priorities, and release needs.
Define and evolve the end-to-end evaluation strategy for autonomy performance, including scenario coverage, behavioral quality measurement, trend detection, risk assessment, and release-gating readiness.
Drive cross-functional alignment with Autonomy, Simulation, Systems, and Safety organizations to translate ambiguous validation needs into clear priorities, roadmaps, and execution plans.
Oversee evaluation approaches for ML components across perception, prediction, and planning, ensuring methods are explainable, scalable, and useful to development and verification teams.
Guide the team in developing new statistical and machine learning methods to quantify performance and identify behavior patterns across scenes and operational domains.
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.
Drive the development of scalable evaluation infrastructure, including data pipelines, workflow orchestration, developer tooling, and service interfaces that improve reliability and iteration speed.
Translate system-level results and platform health signals into clear feedback for engineering and leadership and drive execution against high-priority evaluation outcomes.
Leadership Responsibilities
Build and lead a high-performing, inclusive engineering organization through hiring, manager development, coaching, and feedback.
Lead through managers and senior technical leaders, creating strong accountability, healthy operating rhythms, and clear ownership across teams.
Create clarity across priorities, roadmaps, dependencies, and staffing plans for a technically complex, cross-functional domain.
Establish org-level goals, KPIs, and success measures for evaluation quality, scalability, insight generation, and execution effectiveness.
Guide investment and resource decisions across near-term delivery and long-term platform capabilities, balancing immediate program needs with durable infrastructure and methodology improvements.
Raise the quality of execution through strong planning discipline, design reviews, metrics, and decision-making mechanisms.
Resolve complex cross-team conflicts and align stakeholders to drive progress on high-priority issues.
Collaborate with senior leadership to shape long-term strategy for autonomy evaluation and influence organization-wide decisions that affect AV quality and release confidence.
Your Skills & Abilities (Required Qualifications)
10+ years of relevant experience in robotics, autonomous systems software, data analysis, ML evaluation, autonomy analytics, or large-scale data/infrastructure platforms with a track record of delivering complex software or data systems.
5+ years of people leadership experience in complex engineering organizations, including leading managers or senior technical leaders.
Demonstrated ownership of a distinct technical or business area, including strategy, roadmap, execution planning, KPI management, and cross-functional outcomes.
Demonstrated technical leadership, including driving architectural decisions, influencing cross-team designs, and owning complex services or platforms end-to-end.
Experience building or leading production infrastructure for large-scale data processing, workflow orchestration, observability, and service reliability.
Experience developing Python/C++ in production team environments, including testing, performance, and code review.
Experience evaluating dynamic systems using numerical, statistical, and/or machine learning methods, including time-series data, state derivatives, dynamics, and interconnected subsystems.
Strong analytical curiosity and a disciplined approach to root-causing anomalous data and system discrepancies.
Strong ability to translate ambiguous evaluation needs and complex technical findings into clear plans, decisions, and communication for executive, engineering, and cross-functional audiences.
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.
What Will Give You a Competitive Edge (Preferred Qualifications)
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, experiment databases, platform services, or evaluation infrastructure.
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 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: $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: 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-SA2
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
Remote/ Hybrid position :
Candidates can be considered anywhere in the country of work, but if someone is within 75kms of a hub, they are required to be onsite 3 days a week at Markham Elevation Center three times per week, at minimum [or other frequency dictated by the business].
About The Role
Our vehicle communication team is hiring a software engineer to design and develop software in our Linux-based networking system. You'll be part of a team working to ship the world’s most reliable connectivity.
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 and reliability requirements of vehicles. You'll also work closely with our application and cloud teams to ensure end-to-end reliability and performance.
Your Skills and Abilities (Required Qualifications)
This is a networking role, so you should know networking fundamentals like TCP/IP and how the whole network stack works - from drivers through applications.
You should also understand application-level protocols like HTTP (and how application developers use those protocols).
You know how to triage complicated system-wide issues in a team.
Our operating systems are Linux, Android, and QNX - you should know how networking operates on at least one of these platforms.
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
What Will Give You A Competitive Edge (Preferred Qualifications)
Knowing WiFi, LTE, 5G, Bluetooth and/or UWB is great. (If you don't know those things, you will if you work here!)
Vehicles are "data centers on wheels," so physical connectivity is important.
If you've used a packet sniffer or protocol analyzer, you’re a great fit for us.
Demonstrated experience with methods for shipping highly-reliable software (such as telemetry/observability) is useful
We value writing and collaboration skills – they’re key to good system design
Compensation:
The salary range for this role is $147000 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 Electronic Engineering, Computer Science, or related field of study and Eight (8) years of experience as a Software Quality Architect, Software Test Architect, Software Test Engineer, or related occupation OR Master's degree in Electronic Engineering, Computer Science, or related field of study and Six (6) years of experience as a Software Quality Architect, Software Test Architect, Software Test Engineer, or related occupation. Six (6) years of experience with: Python and C/C++, with experience in embedded software development. Three (3) years of experience with: CI/CD tools and frameworks including GitHub Actions, Jenkins, and Docker, and source control platforms including GitHub, GitLab, and Gerrit; and Designing and implementing automated test frameworks and pipelines, including integration with test management and defect tracking tools such as TestRail, Polarion, and JIRA. Two (2) years of experience with: Automotive embedded systems and communication technologies, including CAN and Ethernet, and operating environments including Linux and AUTOSAR; Applying software quality standards and methodologies including ASPICE, ISO 26262 (awareness), and behavior-driven or test-driven development (BDD/TDD); and Hardware-in-the-loop (HIL) and co-simulation-based test environments for mechatronic ECUs, including integrating test results into CI dashboards and quality metrics.
#LI-DNI
]]>This role is categorized as hybrid. This means the successful candidate is expected to report tooffices in Austin, TX, Warren, MI or Seattle, WA three times per week, at minimum.
The Role:
The GM Data Engineering team is seeking early career candidates to help build large scale data platforms on cloud environments. The ideal applicants for these roles have a bachelor’s degree in software engineering, computer science, mathematics, information technology or similar.
What You'll Do:
· Lead the design and development of migrating on-prem data systems to cloud environments
· Design data solutions around current and future data security and privacy requirements
· Work with data engineers and data scientists to understand data needs and deliver solutions
· Build and maintain operational and analytic datastores
· Assist in designing, developing, and maintaining ETL/ELT pipelines
· Document processes and contribute to knowledge sharing within the team
· Learn how to optimize cloud compute and storage cost
Your Skills & Abilities
· Pursuit of a bachelor’s degree in one of the following areas: Computer Science, Software Engineering, Electrical/Computer Engineering, Information Technology or related degree
· Able to work fulltime, 40 hours per week
What Will Give You a Competitive Edge
· Strong SQL skills and familiarity with modern databases
· Basic programming experience in Python, Java, and/or Scala
· Understanding of data modeling concepts and ETL processes
· Excellent problem-solving and communication skills
· Eagerness to learn and grow in a collaborative environment
· Familiarity with cloud platforms (AWS, GCP, or Azure) and data engineering platforms (Databricks / Snowflake) and Git and basic Linux/CLI is a plus
Compensation
The salary range for this role is from $84,900 - $130,500. 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.
What you’ll get from us (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 Vehicle Experiences Engine (VEE) at GM is transforming how millions of people interact with their vehicles. At the foundation of that transformation is the Core OS group — the team that builds the high-performance operating-system foundation on which GM's next generation of vehicle software runs. Our work spans hypervisors and virtualization, safety and health management, containerization, and the core OS services that let multiple operating systems — Linux, Android, and QNX — share a single high-compute platform safely and efficiently.
As Senior Software Engineering Manager, Core OS, you will build this team from the ground up. You'll define the charter, hire the founding engineers, set the architecture, and establish how the Core OS layer interfaces with the silicon, guest OS, and vehicle program teams around it. You will be accountable for both standing up the team and delivering its first production milestones.
This is a defining opportunity to shape the future of software-defined mobility: the platform your organization builds determines the computing efficiency, responsiveness, scalability, reliability of every experience layered on top of it, and across every vehicle program that ships on it — and makes GM's vehicles smarter, safer, and continuously upgradeable.
What You’ll Do:
Lead and grow a high-performing engineering organization of senior engineers and engineering leaders, fostering technical excellence, innovation, and continuous improvement.
Own the roadmap and delivery of the core OS layer: hypervisor and virtualization, virtual machine lifecycle and resource partitioning, inter-VM communication, and the boot and secure-boot chain.
Deliver the safety-relevant foundation of the compute platform — freedom from interference between partitions, health monitoring, fault detection, and recovery — in partnership with functional safety and cybersecurity teams.
Establish on-vehicle container and workload management , including runtime isolation, lifecycle management, resource governance, and updateability of platform workloads.
Enable multiple guest operating systems — embedded Linux (Yocto), Android, and QNX — on shared compute, with consistent platform services, interfaces, and tooling across all of them.
Set and drive platform KPIs for compute efficiency, responsiveness, startup and boot time, memory footprint, scalability, and reliability.
Drive cross-functional collaboration with BSP and silicon enablement, application platform, cybersecurity, functional safety, and vehicle program teams to ensure seamless integration.
Build strong vendor and ecosystem partnerships — including silicon, RTOS, and hypervisor suppliers — and engage with relevant open-source and industry communities.
Ensure program execution excellence by tracking progress against vehicle milestones, managing risk, and partnering closely with program management.
Your Skills and Abilities (Required Qualifications)
10+ years of professional experience building embedded or systems software, with a strong foundation in operating system internals, virtualization, or real-time systems.
5+ years of engineering leadership experience , including leading senior engineers and managers, with a proven record of scaling teams and delivering results.
Bachelor's degree in computer science, Electrical/Computer Engineering, or related fields.
Demonstrated success delivering production-grade OS or platform software on modern SoC-based or embedded systems.
Demonstrated effectiveness in ambiguous, early-stage environments — defining scope, establishing interfaces with adjacent organizations, and making architectural commitments with incomplete information
Depth in at least one of: type-1 hypervisors and virtualization , real-time operating systems , or embedded Linux deployed at scale .
Proven ability to drive large-scale software programs to completion , including milestone planning, risk management, and cross-team coordination.
Strong technical credibility paired with the ability to set vision, influence architecture, and drive execution across multiple teams.
Demonstrated excellence in cross-functional leadership , stakeholder management, and executive communication.
Proficiency with modern engineering practices — Git/GitHub, CI/CD, automated testing including bench and HIL, boot and performance KPI instrumentation, and large-scale release processes.
What Will Give You A Competitive Edge (Preferred Qualifications)
12+ years of professional experience building embedded or systems software, with a strong foundation in operating system internals, virtualization, or real-time systems.
Master's degree in Computer Science, Electrical/Computer Engineering, or related fields.
Hands-on background with hypervisor technologies (e.g., Gunyah, QNX Hypervisor, Xen, KVM/ARM) and virtio-based device virtualization, device passthrough, and resource partitioning.
Experience delivering software to ISO 26262 functional safety requirements (up to ASIL-D) and ISO/SAE 21434 cybersecurity requirements.
Depth in secure boot, trusted execution environments, and platform integrity on modern automotive SoCs.
Experience with container runtimes and orchestration in resource-constrained or embedded environments .
Familiarity with Yocto Linux, Android (AOSP/Android Automotive), and QNX SDP as guest or host environments.
Experience with automotive platform standards and practices — Adaptive AUTOSAR, SOAFEE, OTA and continuous update architectures.
Hands-on experience with Qualcomm Automotive SoCs and collaboration with silicon vendors.
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 (238,700 - 365,700). 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.
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 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 analysis engineer is also required to have experience in 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, fuses, sensors, electronic control units, power & signal distribution modules, level 3 or 4 ASICs etc).
The analysis engineer will create system models, 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 within electrical and thermal domains
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, Mechanical 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 Digital Products and Customer Experience Platforms
Digital Products creates the digital experiences that connect GM customers to their vehicles, services, and everyday lives—from mobile apps and connected services to the technology behind the vehicle experience.
This MBA internship is part of Customer Experience Platforms (CXP) , the team that helps shape what these products should do and how they come to life. CXP partners with engineering, design, data, marketing, and business teams to understand customer needs, set priorities, and guide products from idea to launch.
As an MBA Intern, you’ll gain exposure to product strategy, technology, and customer-focused problem-solving while contributing to experiences used by GM customers
About the Opportunity
The CXP PM team is looking for MBA Product Management Interns who are energized by customer problems, technology, and turning ideas into outcomes. The Summer 2027 intake is owned by CXP PM , with the specific product area determined during team matching based on business needs and intern interests.
Within CXP, MBA Interns may support initiatives involving connected vehicles, mobility, customer experiences, electric and autonomous platforms, and enterprise data systems. You will work at the intersection of customer insight, product strategy, engineering, design, data, and business priorities. Depending on the assignment, you may help define customer needs, support discovery, shape roadmaps, clarify requirements, analyze product performance, or coordinate delivery.
The specific product area, responsibilities, academic preferences, and location will be confirmed during the recruiting and team-matching process. Final placement will depend on business needs, candidate interests, skills, and team fit.
Potential Product Areas
Work may support high-level areas represented in the Digital Products intern intake, including:
Connected vehicle and OnStar products and services
Customer experiences, mobile and web products, and digital engagement
Mobility, data, and customer experience initiatives
Customer onboarding, subscriptions, commerce, and connected-service experiences
Fleet and commercial products, including digital tools for business customers
Customer support, AI-enabled self-service, and contact center advisor tools
Product strategy and execution across engineering, design, marketing, analytics, and business teams
What You May Do
Research customer, business, market, or operational needs and translate findings into opportunities
Support product vision, strategy, roadmaps, requirements, and prioritization
Partner with engineering, design, analytics, marketing, operations, and business teams
Help define success measures and analyze product or customer outcomes
Prepare product briefs, presentations, decision materials, or launch-readiness content
Participate in discovery, experimentation, user feedback, and product reviews
Required Qualifications
Currently enrolled in an MBA or graduate degree program in business, engineering, computer science, data science, or a related field; strong candidates from related programs may also be considered
Graduating August 2027 or later with MBA or graduate degree
Completed a bachelor’s degree or equivalent academic preparation
Demonstrated interest in product management, technology, customer experience, strategy, analytics, or digital business
Strong written, verbal, analytical, and presentation skills
Ability to work collaboratively with technical and non-technical partners
Ability to work onsite at the assigned GM location with the manager and team
Availability to work full-time, 40 hours per week, during the 12-week summer internship period between May – August or June – September
Preferred Qualifications
Prior experience in product management, technology, consulting, business strategy, engineering, analytics, design, or a related area
Experience using customer research, data analysis, experimentation, or product metrics to inform decisions
Familiarity with digital products, connected services, mobile or web experiences, APIs, platforms, or software delivery
Experience turning ambiguous problems into clear recommendations or plans
Work Arrangement:
Start dates for this internship role are May 24th and June 14th of 2027.
Hybrid: This role is categorized as hybrid. This means the successful candidate is expected to report to designated work location three times per week, at minimum.
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.
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 Role
As a Software Development Manager, you will be responsible for leading and managing one or more software development teams. You are expected to leverage your technical background to ensure that software is designed and developed using sound, repeatable, industry standard methodologies and in accordance with GM’s software development project methodology; including but not limited to standards in code quality, performance, stability, security and overall alignment and compliance with project objectives.
The ideal candidate brings strong people leadership and hands-on expertise in Web application development technologies such as Angular, React, .Net Core, Postgresql etc. 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
Your Skills & Abilities (Required Qualifications)
What Can Give You a Competitive Advantage (Preferred Qualifications)
Interested individuals must meet the following minimum qualifications:
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 ($38.90-$45.38 ) or Journeyperson rate of ($46.31). 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.
REQUIREMENTS: Bachelor's degree in Computer Applications, Applied Computer Science, Mathematics, Engineering, or related field of study and Five (5) years of experience as a Software Engineer or related role. Five (5) years of experience with: Software development in complex platforms including a cloud-native environment; Developing 12-factor microservices while utilizing Continuous Integration, Build, and Delivery with Spring and Spring Boot; Microservices, RESTAPIs and event driven architecture and performance optimization techniques; Developing JAVA and Spring boot-based components; JAVA, Spring boot and related tech stack, Spring
Cloud, REST, KAFKA, PULSAR, JMS, ORACLE, POSTGRES, and AKKA Framework; Debugging, triaging, and analyzing production issues using tools including ELK stack and Prometheus; and Cloud computing concepts and cloud platforms including Cloud Foundry, AWS, Azure, and Google Cloud.
#LI-DNI
]]>Preferred Experience Includes:
Primary Responsibilities:
Interested individuals must meet the following minimum qualifications:
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.
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REQUIREMENTS: Bachelor's degree in Computer Engineering, Computer Science, or related field of study and Five (5) years of experience as a Software Engineer, Software Developer, or related role. Five (5) years of experience with: Delivering Java and JEE Business Solutions; Full software development lifecycle (SDLC); SQL and Oracle; OO analysis and design experience; Agile Development Techniques including TDD, JUnit, Mocks, and Pair Programming; SQL, Hibernate, Web Services including REST and SOAP, and WebLogic; and Microservices, Pivotal Cloud Foundry, Spark, Kubernetes, Akka, Pulsar, RabbitMQ, Cassandra, Redis, Bitbucket, and Maven. Three (3) years of experience with: Web technologies including HTML 5, CSS 3, jQuery, JavaScript, and Adobe CQ.
#LI-DNI
]]>The Role
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.
]]>The Role
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.
Commercial Software Engineering builds digital products and platforms that help fleet customers manage their operations and benefit from connected vehicle data. This Senior Software Engineering Manager is responsible for setting the technical and organizational direction and leading multiple engineering teams across the Commercial OnStar product and Commercial API areas. These areas span customer-facing experiences, vehicle telemetry, data streaming, transactional APIs, developer capabilities, and supporting platforms. This leader will shape strategy, strengthen execution, and build the organization required to deliver reliable, scalable, and customer-focused software. The role will partner with Product, Program, Vehicle Data, Infrastructure, Security, Privacy, Sales, Customer Support, and other enterprise teams to drive measurable business and customer outcomes.
What You’ll Do
Define and communicate the engineering strategy, roadmap, and operating plan for Commercial OnStar products and Commercial APIs.
Lead multiple engineering teams through managers and senior technical leaders, establishing clear ownership, decision rights, priorities, and measures of success.
Drive improvements in customer adoption, retention, revenue, onboarding, API usage, data quality, and service reliability.
Use data and feedback to make tradeoffs, prioritize projects, and course-correct.
Ensure strong team execution focused on urgency, iteration, consistency, and learning.
Guide architecture, modernization, technical debt reduction, production readiness, observability, incident response, and service-level performance.
Build effective partnerships across vehicle data, vehicle communications, middleware, infrastructure, consent, onboarding, billing, security, and privacy teams.
Represent Commercial Software Engineering in executive discussions, major customer and partner engagements, and enterprise-level decisions.
Attract, develop, and retain engineering leaders and technical talent while building a strong succession pipeline.
Demonstrate managerial courage to challenge the status quo, simplify complex systems, and define creative solutions in a rapidly evolving software ecosystem.
Your Skills & Abilities (Required Qualifications)
Bachelor’s degree in computer science, engineering, information systems, or related technical field, or equivalent experience.
12+ years of experience in software engineering, technology, or related fields, including significant experience delivering large-scale software solutions.
5+ years of experience leading software engineering teams, including managers, senior technical leaders, and/or teams of teams.
Demonstrated experience leading engineering organizations of roughly 30+ engineers (ICs and managers), including hiring, performance management, coaching, and organizational design.
Demonstrated experience setting strategy and delivering complex, cross-functional software platforms or customer-facing products on-time.
Strong technical knowledge of cloud platforms, distributed systems, APIs, data platforms, mobile/web applications, software architecture, security, and service reliability.
Utilization of AI within developer lifecycle, business processes, and product development.
Experience operating business-critical services, including production readiness, observability, incident management, service-level objectives, and continuous improvement.
Demonstrated success hiring, developing, and retaining engineering managers and senior technical talent.
Strong executive communication, influence, negotiation, prioritization, and decision-making skills.
What Will Give You A Competitive Edge (Preferred Qualifications)
Master's degree in computer science, engineering, information systems, or related technical field, or equivalent experience.
15+ years of experience in software engineering, technology, or related fields, including significant experience delivering large-scale software solutions.
Experience with connected vehicle, automotive, fleet, mobility, logistics, SaaS, or other data-intensive products.
Experience scaling web, mobile, and API-based products or platforms with external customers including Fortune 500 commercial partners with fleets of hundreds of thousands or millions of vehicles.
Demonstrated history of product development that leads to strong user and revenue growth shown via measurable KPIs.
Demonstrated ability to deliver products iteratively, on-time, and with sustained urgency in complex operational environments with many stakeholders across several organizations.
Experience with vehicle telemetry, real-time data streaming, transactional APIs, developer platforms, or external partner integrations.
Experience modernizing legacy platforms into scalable, observable, cloud-based architectures.
About the Team
Our Mapping organization is building national-scale, next-generation mapping systems that move beyond static HD maps toward automated, algorithmic and ML-assisted map reconstruction pipelines powered by onboard sensor data. These systems form a critical foundation for localization, perception, simulation, and autonomy at scale.
We are looking for a Senior Software Engineer to design and build the mapping algorithms and geospatial data systems behind automated map reconstruction and maintenance within our Mapping Engineering team.
In this role, you will develop the algorithms and data models that reconstruct, conflate, validate, and maintain map primitives — lanes, lane connectivity, road network graphs, boundaries, traffic controls, and signs — from large-scale multi-modal sensor data. You will own the geometric and topological correctness of the map itself: how features are represented, how disparate sources are merged, and how errors are detected before they reach the vehicle.
This is a hands-on individual contributor role with strong ownership. You will drive technical problems end to end, partner closely with Perception, Localization, and Simulation, and apply machine learning where it measurably improves accuracy, coverage, or automation rate.
Minimum Qualifications (Must-Have)
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:
Preferred Experience Includes:
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.
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.
]]>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
]]>The Role: The Occupational Health Registered Nurse – PRN/per diem is responsible for providing emergency care, first aid and episodic treatment of occupational injuries and illnesses within standing orders. This position is meant to be ad hoc in nature with shifts to be scheduled in advance based on need and availability.
This position earns $44 an hour. This rate is non-negotiable.
What You'll Do:
Your Skills & Abilities (Required Qualifications):
What Can 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 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 is not eligible for relocation benefits. Any relocation costs would be the responsibility of the selected candidate.
]]>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).
]]>The Company:
General Motors is a global leader in advanced driver assistance. With Super Cruise hands-free technology in more than 750,000 Super Cruise-equipped vehicles on the road and over 1 billion hands-free miles driven, GM is demonstrating how 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 autonomous vehicle experiences.
The Team:
Protocol Operations & Trust (POT) is part of Scaled Engineering Operations (SEO) within GM’s AV Simulation organization. We build and operate workflows, automation, tooling, and data products that make simulation testing scalable, reliable, and trusted.
We own the simulation-protocol lifecycle: from definition and tier correlation through test creation, quality validation, monitoring, maintenance, and release safeguards. By working across simulation, evaluation, validation, autonomy development, data, and infrastructure teams, we turn complex testing workflows into clear, reproducible, decision-ready products that help engineering teams develop and validate autonomous vehicles with greater speed and confidence.
The Role:
We are looking for a hands-on Software Engineer to turn complex simulation-testing challenges into production-ready software. Working closely with operations and engineering teams, you will build across backend services, data pipelines, production infrastructure, and evaluation feedback loops to move our testing from manual to automated. That means automating the workflows people run by hand today, replacing hand-collected metrics with a pipeline that collects, analyzes, and acts on them, and connecting each team's standalone tools into a single streaming system that makes test creation and maintenance scale. The result is faster test creation and higher-quality test protocols that every downstream team can build with confidence.
What You’ll Do:
Your Skills and Abilities:
What Will Give You a Competitive Edge:
Location:
Compensation:
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 Propulsion Plant on a full-time basis.
Job Overview
General Motors St. Catharines Propulsion Plan is looking for an engineer to join our SW (Sustainable Workplace) Team to deliver facility and plant engineering support and projects from the very small to the very large. You will be a dynamic, committed, results driven professional who work well in a Team environment.
Responsibilities
Required qualifications
Compensation
The salary range for this role is $97,800.00 to $146,600.00. 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:
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.
]]>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:
General Motors is seeking a highly skilled and experienced professional to join our team as the Staff Engineer of Software Engineering, Embedded Platform. 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. As a global leader in the automotive industry, General Motors is committed to delivering high-quality vehicles that exceed customer expectations. This position will play a critical role in ensuring that our products are on the leading edge of innovation while meeting the highest standards of quality, reliability, and safety, with a specific focus on the embedded real time software for our in-vehicle mechatronic systems.
Specific job responsibilities include:
· Be a critical leader of software engineering productivity and effectiveness
· Identify opportunities, strategies, process improvements, and lead the change
· Be hands-on by leading high impact efforts
· Be a strong communicator, coach, and mentor
· Analyze unusual and difficult problems effectively
· Ability to connect multiple initiatives together to deliver higher value
· Visualize required innovation, learning and simplification in this space and transition the team to execute what is required to achieve
· Maintain command skills and empathy at the same time
· 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.
Qualifications/Requirements
· Bachelor's degree in software engineering or equivalent experience
· 15 years of experience in software development
· Deep understanding of software architecture for real time systems
· Experience shipping high quality safety critical products
· Exceptional problem-solving and analytical abilities, with a keen attention to detail
· Demonstrated ability to manage multiple projects and priorities in a fast-paced environment.
· Demonstrated ability to work in an action-oriented decision-making environment
· Deep Kubernetes knowledge including cluster operations.
· Strong Terraform/IaC experience with production‑grade module design.
· Experience with embedded or simulation workflows (vECUs, SIL, FMU, SSP).
· Cloud architecture experience across AWS, Azure, or GCP.
Compensation:
The salary range for this role is $186,000 to $236,000. 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:
The Design Manager leads design and engineering activities for construction projects across General Motors manufacturing and non-manufacturing sites. As a preconstruction leader, this role converts incomplete or conflicting business, process, site and operational inputs into an approved, documented and executable technical scope. The Design Manager coordinates internal subject-matter experts, architecture and engineering partners, design-builders and support functions from strategic planning and concept validation through coordinated design development, procurement, construction execution and occupancy. This role delivers safe, high-quality, constructible and bidding-ready solutions aligned with approved scope, schedule, cost, GM standards and stakeholder needs.
What You’ll Do
Your Skills & Abilities (Required Qualifications)
What Will Give You a Competitive Edge (Preferred 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.
Role Overview
We are looking to fill two positions within the Digital Business Transformation Supply Chain team as we embark on transforming our legacy materials management and procurement processes and systems. This role will bridge business and IT teams in support of the SAP S/4HANA ecosystem deployment within Global Purchasing & Supply Chain (GPSC).
As the Senior Manager of Digital Business Transformation, you will help GPSC identify, evaluate, and implement new ideas, applications, and processes that improve organizational performance. This includes significant cross-functional engagement with GPSC functional areas and IT. The focus of this role is creating and executing Master Data governance for this project.
What You’ll Do
Lead cross-functional innovation projects that enhance capabilities and efficiencies across GPSC related to project master data.
Collaborate with business and IT partners on innovation initiatives that align with GPSC’s business strategy and priorities.
Apply critical thinking and creative problem-solving to explore alternative solutions and recommend the most effective approaches.
Foster a culture of innovation by continuously learning new methodologies, tools, and best practices and sharing them across the organization.
SAP-Enabled Process & Integration
Act as a business-focused integrator across legacy GM applications and SAP S/4HANA for supply chain/materials management or purchasing value streams
Ensure processes remain fit-to-standard and align to business objectives through workshops, simulations, and process walk-throughs.
Partner with business owners and IT to define, document, and prioritize business requirements for SAP-enabled solutions and process changes.
Develop KPIs and metrics that monitor roadmap progress, process adoption, data quality, and business outcomes, and communicate insights through concise, informative materials for leadership.
Drive change management and training by supporting the development of training content, job aids, and change impact assessments; enable end‑user readiness at plants, regional offices and global GPSC organizations.
Your Skills & Abilities (Required Qualifications)
5+ years relevant experience in supply chain, logistics, purchasing, or manufacturing within a complex environment (any internship or co-op experience will not be considered).
Bachelor’s Degree in business, supply chain, technical, or a related discipline.
Experience interacting with business partners, managing expectations, and influencing in a global organization.
Hands-on data governance and part extension experience with meaningful exposure to SAP (ECC or S/4HANA) in at least one area such as MM, PP/MRP, SD/logistics execution, or supplier integration/EDI/ASN processes.
Strong strategic agility and analytical ability; able to connect ideas end-to-end and solve unusual, complex problems with data.
Proven project management skills: planning, tracking deliverables, managing cross-functional stakeholders, and executing to timelines in a fast-paced environment.
Excellent oral and written communication; able to facilitate meetings/workshops and communicate complex concepts in simple, visual terms (data storytelling).
High proficiency with MS Word, Excel, and PowerPoint.
What Will Give You a Competitive Edge (Preferred Qualifications)
Master’s degree in Supply Chain Management, Business, or related field.
Knowledge of GPSC business processes, systems, and GM applications relevant to purchasing and supply chain.
Direct experience with master data governance for SAP S/4HANA deployments, global template or fit-to-standard ERP programs, and SAP Activate-based projects.
Exposure to AI/ML-enabled analytics or optimization in supply chain or purchasing, particularly adjacent to SAP platforms.
Experience supporting major process transformation initiatives in purchasing, manufacturing or supply chain (including plant launch, ERP cutover etc.)
Hybrid:
This means the successful candidate is expected to report to the Warren Technical Center, Warren MI or Milford Proving Grounds, Milford, 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.
The Software & Electronics Platform team is building the execution foundation for GM’s software-defined electric vehicles. We are looking for a Program Engineering Manager (PEM) to lead, define, and organize the physical assets that make persistent HIL, night regression, Co-Sim, CVF, and related validation environments effective for SDV2 and future platform architectures.
This role is accountable for making complex work executable. You will establish the asset strategy, portfolio, standards, ownership model, configuration baseline, capacity plan, and lifecycle approach required to support platform and vehicle-program commitments. You will work directly with the platform PEMs and APEMs to connect bench and lab readiness to integrated execution plans, milestone confidence, issue resolution, launch readiness, and recovery actions.
You will also work directly for and with the Chief Engineer, translating platform strategy into investment priorities, physical infrastructure decisions, cross-functional operating rhythms, and an enterprise-ready model for onboarding future programs. The successful candidate will be equally comfortable shaping strategy with senior leaders, solving complex technical and infrastructure problems, driving disciplined execution across engineering organizations, and turning a collection of benches and labs into a coherent persistent capability.
What You'll Do:
Define the persistent HIL and physical-validation strategy
Partner with the PEM to drive integrated execution
Establish the SDV2 asset portfolio and onboarding model
Govern configuration, Bench BOM, and release integrity
Build a persistent regression capability
Organize physical infrastructure and lifecycle management
Lead cross-functional operating rhythms
Your Skills & Abilities (Required Qualifications):
What Will Give You A Competitive Edge (Preferred Skills):
How success will be measured:
Why This Role Matters:
YOU will help turn GM's software-defined vehicle strategy into a persistent physical execution capability. This is a high-impact technical leadership role at the intersection of platform architecture, software delivery, electronics integration, vehicle programs, test infrastructure, and launch readiness.
The person in this role will work directly with the Chief Engineer and PEM to create the physical foundation required to integrate, validate, regress, and launch SDV2 and future vehicle platforms with greater speed, repeatability, and confidence. By organizing the right assets, configurations, ownership, and operating rhythms, you will help GM move from disconnected benches and one-off environments to a scalable enterprise capability.
Reports to: Chief Engineer, Software & Electronics Platform
Primary partners: Program Engineering Manager, Software & Electronics Platform
Leadership scope: Technical leader and physical-asset strategy owner for persistent HIL and validation infrastructure
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.
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.
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.
]]>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 Simulation, Evaluation, and Data organization develops the platforms, tools, metrics, and workflows that accelerate GM’s autonomous-driving mission. The VTA team builds the core infrastructure for test organization, test triggering, simulation execution, result analysis, and the data pipelines that connect these workflows.
Our customers include autonomy and robotics engineers who need fast, trustworthy feedback on vehicle behavior; data engineers who build large-scale analysis workflows; and release teams that use evaluation results and performance metrics to make readiness decisions. We partner across Autonomy, Simulation, Systems Engineering, Safety, Data, and other engineering organizations to deliver intuitive, reliable, and scalable developer experiences.
What You’ll Do
Your Skills & Abilities
What Will Give You a Competitive Edge
Why Join Us
You will work on foundational technology that directly affects how GM develops, validates, and scales autonomous-driving systems. The role offers broad technical scope, meaningful cross-functional influence, and the opportunity to build platforms that turn large-scale simulation and evaluation into faster, safer engineering decisions.
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.
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 job may be eligible for relocation benefits.
]]>As a Staff Cloud Identity Platform Engineer, you will design, automate, operate, and continuously improve secure, reliable, and scalable identity services for a global enterprise. You will support Microsoft Entra ID, Microsoft Entra External ID, and foundational Azure infrastructure across workforce, application, partner, and external-user experiences.
This role applies Site Reliability Engineering principles to cloud identity, including service-level objectives, observability, automation, error-budget management, incident response, resilience engineering, capacity planning, and reduction of operational toil. You will help establish identity platforms that are secure by design, measurable, recoverable, and dependable at enterprise scale.
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 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
]]>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 Core OS group is a newly formed team standing up the operating-system foundation GM's software-defined vehicles run on: the virtualization and platform-services layer that lets embedded Linux, Android, and QNX share vehicle compute safely and efficiently. As one of the founding engineers, you'll set technical direction from a blank sheet across hypervisor integration, guest OS enablement, resource partitioning, the boot and secure-boot chain, container runtime, and the health and fault-management services that keep the platform reliable in production. The architecture you choose now becomes the platform every GM vehicle software team builds on, and getting it right means debugging across boundaries most engineers never cross — guest to host, software to silicon, between partitions with different safety requirements.
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 salary range for this role is $160,200–$330,400 . 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 the geography of the selected candidate.
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 and holidays, tuition assistance programs, employee assistance program, GM vehicle discounts, and more.
#LI-KL2
]]>This 12-week Operations internship will be based in a GM Automotive Parts warehouse and drives the operational efforts of GM’s Customer Care and Aftersales organization. The position supervises a team of union-represented operations employees, or a departmental function in a warehouse processing center or distribution center. The Supervisor is responsible for overseeing the department workforce to ensure accurate and timely parts shipments to customers.
With direct guidance from the General Supervisor, you will motivate hourly operations employees and business partners through effective communication, training, coaching, development, recognition, and supervision. You will demonstrate expertise of the processes your team is required to perform and ensure your team members are effectively performing job responsibilities utilizing standardized methods.
The Customer Care and Aftersales warehouse operations team helps ensure that General Motors parts are processed and shipped accurately and on time. The team works in a fast-paced environment where safety, quality, teamwork, and continuous improvement are central to daily operations.
You will learn from and collaborate with General Supervisors, warehouse operations employees, business partners, union representatives, and other members of the management team. Together, they maintain reliable warehouse processes, support employee development, resolve operational challenges, and improve the experience of customers who depend on General Motors parts.
Provide instructions to direct reports on course of action and serves as a resource for them on standardized work, quality standards and processes within the area, as well as relevant company policies and procedures.
Support daily warehouse operations under the direction of a General Supervisor.
Learn how to communicate standardized work, quality expectations, processes, company policies, and procedures.
Assist with training, coaching, development, recognition, and engagement activities for operations employees.
Support the assignment of work and monitor progress to help ensure tasks are completed safely, accurately, and on time.
Help identify and address operational issues, resolve problems, and proactively reduce disruptions.
Support employee training and rotation activities to maintain operational flexibility and continuity.
Identify opportunities for improvement through tools such as layered audits and other continuous improvement methods.
Support performance against safety, people, quality, responsiveness, and cost measures.
Promote a safe work environment by following and reinforcing workplace safety rules and policies.
Apply the principles of the General Motors Global Manufacturing System and lean operations.
Build effective working relationships with employees, union representatives, business partners, and management.
Support efforts to evaluate team performance and improve operational processes.
Assist with administrative activities such as timekeeping and maintaining departmental records and reports.
Recommend process improvements and support the delivery of solutions across teams.
Collaborate with experienced team members, seek guidance, and apply feedback to solve operational challenges.
Complete a project that creates value for the warehouse operation and present your findings to executive leadership.
Currently pursuing a bachelor’s degree in business, operations, supply chain, industrial engineering, manufacturing engineering or a related field from an accredited college or university.
Must be graduating between December 2027 and June 2028.
Available to work full-time, 40 hours per week, during the summer internship.
Ability to work
Demonstrated analytical and problem-solving ability.
Demonstrated leadership through academic, extracurricular, community, or service activities.
Willingness to work in a fast-paced, shift-based operations environment that may involve standing, walking, and lifting.
Strong interpersonal and relationship-building skills, with the ability to collaborate across different levels of an organization.
Ability to work independently and as part of a team.
Strong verbal and written communication skills.
High level of integrity, initiative, accountability, and trustworthiness.
Ability to adapt to ambiguity and take ownership of assigned responsibilities.
Customer-focused approach to innovative problem-solving.
Partnership and teamwork skills, with an interest in learning from and sharing knowledge with coworkers.
Start dates for our Summer 2027 internships are May 24th and June 14th of 2027
This role follows an onsite work arrangement and requires the intern to report full-time to one of three General Motors Automotive Parts warehouses: Memphis, Tennessee; Warren, Michigan; or Burton, Michigan.
Schedule Requirement: This 12-week summer internship requires full-time availability, 40 hours per week, on either the first shift (6:30 a.m.–2:30 p.m.) or second shift (3:00 p.m.–11:00 p.m.), as assigned
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.
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 Engineering and Productivity team in the Global Planning, Design, and Product IT organization is looking for a Staff Data Scientist to propel our mission of empowering Engineering 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 Staff Data Scientist, you will be responsible for leading one or more AI/ML and data science products, while also contributing highly technical work on problems of significant complexity. You will be accountable for translating ambiguous Engineering business challenges into scalable, production-grade AI products that deliver measurable enterprise impact.
Conduct original research and develop practical AI/ML methods that accelerate GM’s research, engineering, and product development capabilities. This role is intended for a recent or soon-to-be-completed Ph.D. who brings strong depth in one or more advanced AI areas and the ability to work across disciplines. The researcher will develop proof-of-concepts (POCs), evaluate them on meaningful engineering or scientific problems, communicate findings clearly, and collaborate with senior researchers and engineering partners to move promising ideas toward impact.
The Team:
GM R&D is seeking an outstanding early-career researcher to contribute to advanced work in Artificial Intelligence, Machine Learning, and Large Language Models. The role is designed for a fresh Ph.D. It emphasizes research depth, originality, experimental rigor, and growth toward independent technical leadership. The successful candidate will work with senior researchers, technical fellows, and engineering collaborators to formulate important problems, develop new methods, build research prototypes, and validate results. The work may span causal reasoning, neurosymbolic AI, world models, multimodal and generative AI, engineering agents, or related areas. The researcher will be expected to connect theory and experimentation with real engineering needs while maintaining high standards for reproducibility, explainability, uncertainty awareness, and responsible AI.
What You’ll Do:
• Conduct original research in one or more advanced AI areas such as causal AI, neurosymbolic AI, world models, multimodal or generative AI or engineering agents.
• Translate engineering and scientific challenges into well-defined research questions, hypotheses, algorithms, and experimental plans.
• Design, implement, and evaluate machine learning models and proof-of-concepts using real, simulated, experimental, or engineering data.
• Develop methods that can reason about physical systems, causal relationships, uncertainty, constraints, temporal evolution, or complex interactions among components.
• Establish meaningful baselines and evaluation protocols; analyze failure modes, robustness, generalization, interpretability, and uncertainty rather than relying only on headline accuracy.
• Build reproducible research code, data-processing workflows, and experiment pipelines using modern deep learning practices.
• Collaborate with GM R&D researchers and engineering partners to understand domain constraints, validate research results, and identify pathways from POCs to practical use.
• Communicate technical findings through research reports, presentations, publications, invention disclosures, demonstrations, and clear documentation.
• Contribute to technical discussions and research roadmaps by identifying promising approaches, important risks, and high-value experiments.
• Participate in a collaborative research culture that values intellectual curiosity, constructive peer review, responsible innovation, and continuous learning.
More About Who You Are
• A curious and intellectually rigorous researcher who enjoys working on difficult, open-ended problems.
• Deeply grounded in at least one technical area, while eager to learn and collaborate across adjacent AI, computational science, and engineering disciplines.
• Motivated by research that can create measurable value in real-world engineering workflows, not only benchmark performance.
• Comfortable moving between mathematical formulation, algorithm development, software implementation, and empirical validation.
• Able to explain complex ideas, assumptions, limitations, and results to both technical and general audiences.
• Independent in driving research tasks to completion while actively seeking feedback and working effectively with senior mentors and cross-functional teams.
• Committed to careful experimentation, reproducibility, safety, explainability, and responsible use of AI.
Required Qualifications:
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., H1-B, OPT, STEM OPT, CPT, TN, J-1, etc).
The position is subject to export control restrictions and requires the successful candidate to be a U.S. Person (U.S. citizen, U.S. permanent resident, asylee or refugee).
Work Arrangement:
Hybrid: This role is categorized as hybrid. This means the successful candidate is expected to report to Mountain View, CA 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.
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 $128,000-$279,000. 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, life insurance, paid vacation and holidays, tuition assistance programs, employee assistance program, and GM vehicle discounts, among others.
]]>
REQUIREMENTS: Bachelors degree in Computer Science, Electrical Engineering, Mechanical Engineering, or related field. Three (3) years of experience as a Product Manager, Automotive Engineer, Design Engineer or related role. Must also have three (3) years of experience with: MATLAB and Simulink models; Autogenerating code in C; Embedded C programming language; GIT, ETAS INCA, ETAS MDA, and GT-Power tools; Working in a Scaled Agile Frame (SAFe) methodology; Developing control algorithms for Thermal Management Systems; Design Failure Mode and Effect Analysis (DFMEA); Supporting test activities for TMS and GDI; Software verification using Model in the Loop (MIL), Software in the Loop (SIL), Processor in the Loop (PIL), and Hardware in the Loop (HIL); and Dynamometer and in-vehicle rough calibration and validation.
#LI-DNI
]]>REQUIREMENTS : Bachelor’s degree in Mechanical Engineering, Automotive Engineering, or related field of study. Five (5) years of experience as a Design Release Engineer, Chassis Dimensional Engineer, Interior Dimensional Engineer, or related occupation. Five (5) years of experience in the following: Read, interpret and generate engineering drawings and specifications; Technical writing to create written engineering evaluation reports; Computer Aided Design (CAD); Creating Design Failure Mode and Effect Analysis (DFMEA) plans and using FIT application; Geometric Dimensioning and Tolerancing competency; and Root cause analysis and investigations. Four (4) years of experience in the following: Key Characteristic Designation System (KCDS) applicability and usage. Three (3) years of experience in the following: TeamCenter; and Change Management process. Two (2) years of experience in the following: Working on product launch lifestyle.
#LI-DNI
]]>Hybrid: Work physically at General Motors 3 times per week (TUE-THU)
The Role:
As Customs Supervisor, you will lead GM’s import and export customs operations in Brazil, ensuring compliance, efficient customs clearance, and optimization of special customs regimes and trade agreements.
You will partner with business leaders, internal teams, government authorities, and external providers to drive seamless trade operations and support business growth .
What you will do (responsabilities):
Location : São Caetano do Sul/SP
Your skills and abilities (required qualifications):
What may give you a competitive advantage (preferred qualifications):
#LI-AS
]]>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.”
REQUIREMENTS : Bachelor's degree in Electrical Engineering, Mechanical Engineering, Computer Engineering, Computer Science, or closely related engineering field and Five (5) years of experience as a Software Engineer, Validation Engineer, Test Engineer, or related role OR Master's degree in Electrical Engineering, Mechanical Engineering, Computer Engineering, Computer Science, or closely related engineering field and Three (3) years of
experience as a Software Engineer, Validation Engineer, Test Engineer, or related role Three (3) years of experience with: Hardware in the Loop (HIL) integration and regression testing for Electronic Control Units (ECUs); Verifying functionality by performing embedded ECU testing in machine and test bench using dSPACE HIL, Vector CANape, CANalyzer, CANoe, and CAT ET tools; Creating automated test scripts for machine level features and testing using C and Python programming languages; Creating database in CANalyzer to parse software CAN communication data; and Designing and developing Machine Plant, Input/Output (I/O) and Controller Area Network (CAN) simulation models using MATLAB and Simulink tools.
#LI-DNI
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Hybrid: This role is categorized as hybrid. This means the successful candidate is expected to report to Dubai Headquarters three times per week or other frequency dictated by the business.
The Role:
The European Customs Specialist Coordinate – GM Europe – will lead customs and trade compliance operations across Europe, serving as a key advisor on EU import, export, and cross-border activity. This role partners with teams including CCA, Sales, GM Defense, Cruise, GM Motorsport, Finance, Tax, Logistics, Legal, and Supply Chain to deliver compliant, efficient, and cost-effective trade operations. The position oversees broker governance, regulatory compliance, customs reporting, and risk management while helping the business navigate evolving European trade requirements. This role also supports operational excellence through strong analytics, stakeholder collaboration, and continuous process improvement.
What You’ll Do:
Your Skills & Abilities:
What Will Give You A Competitive Edge:
What You’ll Do
Leadership and Team Management
Purchasing, Systems, and Supplier Management
Risk Management, Problem Solving, and Execution
Your Skills & Abilities (Required Qualifications)
What Will Give You a Competitive Edge (Preferred Qualifications)
#LI-PR
]]>GM Defense delivers integrated vehicles, power and propulsion, autonomous systems, and connectivity solutions to global defense, security, and government markets. GM Defense combines General Motors’ proven engineering and manufacturing capabilities with the mission focus and execution speed required by defense customers.
The Role
GM Defense is seeking an Electrical Design Release Engineer to support the design, development, testing, release, and continuous improvement of electrical systems and components.
This role is responsible for translating customer and program requirements into robust, manufacturable, serviceable, and validated solutions. The Electrical DRE will collaborate with engineering, program teams, manufacturing, quality, purchasing, suppliers, and customers to align priorities and deliver results. Success requires adaptability as requirements evolve, ownership of one’s parts and timely escalation of risks.
What you’ll do
Your Skills & Abilities (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.)
#GMD
]]>General Motors is seeking an Engineering Designer to join our Engine Team and support the development of next‑generation propulsion systems. In this role, you will create high‑quality NX math models, collaborate with cross‑functional engineering teams, and help drive the design and integration of engine components and subsystems.
This position is ideal for a detail‑oriented, self‑driven designer who is passionate about product excellence, virtual design, and supporting engineering teams within a world‑class organization.
The previous designer in this role excelled through:
At General Motors, you will help design the propulsion systems powering the vehicles of tomorrow. You will collaborate with talented engineering teams, use industry‑leading tools, and have opportunities to grow your career through impactful work and continuous learning.
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.)
]]>We are seeking a Senior Systems Engineer to join the AV Sensing Design team to contribute to defining how autonomous sensing systems are architected and integrated across GM’s autonomy programs. This role focuses on system‑level decisions at the intersection of sensors, embedded software, vehicle platforms, and autonomy software, ensuring that sensing solutions are technically sound, aligned with product intent, and executable in production.
In this position, you will perform system‑level trade studies and support the definition of multi-modality sensor suites spanning camera, radar, lidar, and more. You will work closely with AI/ML, platform software, and vehicle integration teams to address real engineering challenges. The role is intended for engineers who are comfortable operating with autonomy, applying first‑principles and physics-based analysis, and delivering robust technical contributions 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:
Your Skills & Abilities (Required Qualifications)
What Will Give You a Competitive Edge (Preferred Qualifications)
Experience in one or more of the following areas is a plus:
We are seeking a highly skilled and experienced Senior Software Engineer to join our Autonomous Vehicles Data team. In this role, you will play a critical part in designing, developing, and maintaining the robust data platforms essential for the development and deployment of self-driving car technology.
What You’ll Do
· Own and Improve deployment of key Autonomy Data platform services used in AV model training, mining, labeling and replay.
· Champion operational excellence via SLO/SLI definition and measurement including leadership in incident and support response.
· Collaborate with stakeholders (ML & Data Engineers), translate needs & pain points into requirements, build self-serve capabilities and drive adoption.
· Deliver e2e technical projects owning major technical decisions and tradeoffs & contribute to the team’s strategic roadmap.
· Actively participate in team’s planning, code reviews and design discussions.
· Conduct technical interviews, onboard new and mentor junior engineers.
Your Skills & Abilities (Required Qualifications)
· BA or BS in Computer Science, Electrical Engineering, Mathematics, Physics, or another relevant field.
· 5+ years in building and supporting large-scale data platforms, including deployment of high-performance services supporting Petabytes of weekly data serving.
· Expert-level proficiency in Java, C++, Go or Python , with a proven track record of designing and implementing robust, distributed systems.
· Expertise in deployment and managing services in at least one major public cloud provider (Azure, GCP or AWS) utilizing automation and observability for operational excellence
· Experience optimizing services for cost efficiency, performance & reliability.
· Experience with multi-language hosted services architecture and proven ability to manage the full operational lifecycle of systems.
What Can Give You a Competitive Advantage (Preferred Qualifications)
· Experience in implementing Data Processing Frameworks (Beam, Spark) and serving layers optimized for high-throughput, low-latency delivery.
· Passionate about self-driving technology and its potential impact on the world.
· Experience delivering (100+) petabyte-scale ingestion, processing, and serving architectures.
· Experience with SQL engines / queries.
#LI-KL2
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 salary range for this role is $153,200 - $269,200 . 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 the geography of the selected candidate.
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 and holidays, tuition assistance programs, employee assistance program, GM vehicle discounts, and more
]]>mitigation strategies to improve system reliability, robustness, and safety. Track, document, and report corrective actions, ensuring full closure and compliance with engineering and quality standards. Collaborate with cross functional partners—including manufacturing, quality, and maintenance—to support system integration, launch readiness, and production goals. Stay current with emerging technologies, industry trends, and best practices in industrial automation, robotics, and smart manufacturing. Hybrid Work Policy – 3 days In-Office, 2 Days Remote – Must be able to report to local office.
REQUIREMENTS: Bachelor’s degree in Electrical Engineering, Mechanical Engineering, or related field of study and Two (2) years of experience as an Automation Engineer, Controls Engineer, or related occupation. Two (2) years of experience with the following: Designing, programming, and troubleshooting Allen Bradley PLCs, including Safety Logic; Developing and maintaining HMI systems; Designing and supporting industrial communication networks including EtherNet/IP, TCP/IP, and DeviceNet; Configuring and troubleshooting machine vision systems; Supporting and optimizing automated conveyance systems; Configuring and troubleshooting VFDs; and Implementing and supporting error proofing technologies. One (1) year of experience with the following: Programming and troubleshooting FANUC robots for material handling, spot welding, dispensing, and vision guided applications; Developing and supporting 3D vision–based bin picking systems; Supporting high volume manufacturing operations through troubleshooting, optimization, and downtime reduction; and Python and SQL.
#LI-DNI
]]>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.)
To help facilitate administration of relocation benefits if you are selected, please apply using the permanent address you would move from.
Work Arrangement:
On-Site: This internship is categorized as on-site. The selected intern is expected to report to the office 5 days a week.
Locations:
The AV Systems, Sensing and Integration Team is responsible for developing, integrating, and validating cutting-edge assisted and automated driving capabilities and sensors across the entire vehicle lifecycle.
Our organization delivers hardware sensors and software from requirements, design, development, implementation, and analysis of technical products and systems. We combine deep expertise in sensor hardware, perception, software, features, and vehicle systems engineering to ensure safe, reliable, and customer-delighting driving experiences.
This internship supports three technical areas:
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.
About the Team
The Data Engineering Systems QA team verifies the end-to-end data plane and control plane ecosystem connecting millions of intelligent vehicles to cloud platforms. Our mission is to ensure that vehicle data streaming from embedded controllers reaches cloud data platforms, mobile apps, and operational monitoring services with zero loss, while rigorously testing and monitoring controlled configuration rollouts and campaign operations across the fleet.
The Role
We are seeking a candidate in Test Engineering to strengthen our system verification and quality assurance team. This role is crucial for ensuring the integrity, scalability, and performance of our end-to-end data plane and control plane pipelines, extending from embedded vehicle components to cloud-based analytics platforms.
In this role, you will develop automated verification for bench and vehicle levels of connected vehicle features, validating high-throughput telemetry ingestion, and vehicle health monitoring. The successful candidate will drive testing rigor across both physical test assets and cloud environments, ensuring our systems meet demanding quality, safety, and performance requirements.
What You'll Do (Responsibilities)
Your Skills & Abilities (Required Qualifications)
What Can Give You A Competitive Edge (Preferred Qualifications)
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:
Hybrid: This internship is categorized as on-site. The selected intern is expected to report to the office 3 days a week.
Location:
Sunnyvale, CA
The Onboard Autonomy team develops the real-time intelligence that enables autonomous vehicles to perceive their surroundings, plan safe and comfortable behavior, and operate reliably on the vehicle. Our work spans sensor fusion, structured perception, trajectory generation, ML planning, local planning, controls, guardrails, evaluation, and vehicle integration.
We combine machine learning, robotics, optimization, and software engineering to build production-oriented autonomy systems that operate in real time and handle challenging driving scenarios.
As an Onboard Autonomy Intern, you will contribute to a focused research or engineering project within the onboard driving stack. You will work with experienced researchers and engineers to prototype, evaluate, and improve algorithms or software using vehicle data, simulation, or production-oriented environments.
Potential focus areas include:
Compensation:
What You’ll Do
Your Skills & Abilities (Required Qualifications)
What Can Give You a Competitive Advantage (Preferred Qualifications)
Customer Care and Aftersales (CCA) is a global organization that provides customer support and post-vehicle-purchase services, including parts, service, recall, and warranty support. As a General Supervisor, you will lead daily operations and timely fulfillment of automotive parts orders. You will guide supervisors and manage salaried and hourly United Auto Workers (UAW) employees across shipping, receiving, inventory control, and quality control. You will balance safety, productivity, responsiveness, quality, labor, people, and cost requirements while resolving operational issues and allocating resources across the shift. You will also drive standardized work and continuous improvement in a fast-paced warehouse environment.
What You’ll Do
Your Skills & Abilities (Required Qualifications)
What Can Give You a Competitive Advantage (Preferred Qualifications)
Hybrid:
This means the successful candidate is expected to report to the Warren Technical Center, Warren MI three times per week, at minimum, or other frequency dictated by the business. (Tuesday, Wednesday and Thursday are the desired days to be onsite)
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:
As a Press and Automation Manufacturing Engineer, you will help design, implement, and optimize the press and automation systems that support our stamping operations. In this role, you will work on innovative manufacturing solutions that improve safety, quality, throughput, and reliability across our facilities.
You will be responsible for developing and validating engineering solutions, identifying opportunities for automation and process improvement, and supporting the effective use of equipment, tooling, materials, and personnel. This role requires strong technical judgment, hands-on problem solving, and the ability to work across a broad range of mechanical and manufacturing systems.
You will also partner closely with engineering, suppliers, plant teams, controls engineers, and IT teams to deliver projects from concept through implementation. In addition to leading technical work, you may provide direction to other engineers or engineering support personnel and support work being performed at supplier build shops and stamping facilities.
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.
Sponsorship:
GM DOES NOT PROVIDE IMMIGRATION-RELATED SPONSORSHIP FOR THIS 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:
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.
]]>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
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
]]>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.
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.)
]]>Compensation:
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.
]]> 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.
]]>What You’ll Do
Your Skills & Abilities (Required Qualifications)
What Will Give You a Competitive Edge (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 Bedford, Indiana on a full-time basis.
The Role:
The Tool and Die Group Leader is responsible for overseeing the tool and die operations within the manufacturing plant. This role involves leading a team of tool and die makers, ensuring the production of high-quality tools and dies, and maintaining efficient workflow to support automotive manufacturing 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):
Lead, mentor, and supervise a team of tool and die makers, ensuring adherence to safety, quality, and productivity standards
Oversee the design, fabrication, and maintenance of tools and dies used in automotive manufacturing
Ensure all tools and dies meet specifications and quality standards
Identify and implement process improvements to enhance efficiency, reduce downtime, and optimize tool and die operations
Work closely with engineering, production, and maintenance teams to coordinate tool and die activities and support manufacturing goals.
Provide training and development opportunities for team members to enhance their skills and knowledge in tool and die making.
Manage inventory and ensure timely procurement of tools, dies, and related materials.
Prepare and present regular reports on tool and die operations, including productivity, quality, and maintenance activities
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):
Strong interpersonal skills, experience managing conflict and decision making
Familiarity with CAD software, CNC machines, and other tool and die equipment
Excellent problem-solving skills and ability to troubleshoot issues in tool and die operations
High level of attention to detail and commitment to quality
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):
Experience in tool and die making
Experience in a supervisory or leadership role
Knowledge of automotive manufacturing processes and standards
Proficiency in tool and die design, fabrication, and maintenance
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. 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 position may require off-shift work - candidates must have flexibility to work any shift .
What You'll Do (Responsibilities):
Support the day-to-day production needs on the production floor by maintaining solid relationships with the Production and Maintenance teams.
Manage significant downtime events by providing technical guidance and support.
Design work operations that meet safety, quality, and efficiency requirements with high integrity.
Drive Continuous Improvement efforts in assigned area through the elimination of waste.
Evaluate bottleneck areas and support throughput and productivity improvements in assigned area.
Reduce total cost by improving productivity metrics related to equipment uptime, cycle time and quality.
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.
Work collaboratively with machine and tool builders on the design and implementation of new tools and equipment.
Create and Maintain Process Flow Diagrams, Control Plans and PFMEAs.
Lead plant Equipment Install / Debug / Launch / Continuous Improvement activities.
Contribute to lessons learned activities by providing feedback and information to the central process team for BOE/BOP updates.
Provide technical direction to, and oversight of outside vendor sources when vendors are on site.
Leverage GD&T skillsets to ensure manufacturing equipment, tooling, machining processes, and quality verifications procedures meet design requirements.
Equipment Spare Part identification and stock request submission.
Author Equipment Preventative Maintenance Plans and provide training for the Maintenance and Production teams to execute.
Problem-solve (analyze data, determine root causes, develop implementation plans) and resolve issues which are affecting quality or throughputc.
Support implementation of new processes & equipment.
Provides technical support for manufacturing operations.
Coordinate input from internal/external customers to better understand customer needs.
Your Skills and Abilities ( Required Qualifications):
Ability and willingness to work Non-Standard Hours outside of normal Shift (early morning, late evenings and some weekends and holidays) to support installation and maintenance of equipment.
BS in Mechanical or Manufacturing Engineering or similar technical field.
Experience in engineering problem solving.
Good computer skills and understanding of mechanical drawings and blueprints.
Basic understanding of basic methods of machining.
Demonstrated interest and ability to learn and apply agile methodologies.
Knowledge of Lean Manufacturing concepts.
Experience working in manufacturing environment.
What Can Give You a Competitive Edge ( Preferred Qualifications):
Minimum of 2 years of Machining process development experience in Manufacturing or Manufacturing Engineering discipline with plant floor experience.
Knowledge of AutoCAD, Team Center and Microsoft Office.
Statistical problem-solving training.
Demonstrated ability to manage multiple and complex projects with a high level of autonomy and accountability for results.
Experience with PFMEAs/Process Control Plans/ Error Proofing Devices.
Experience in process development, specification, procurement, and qualification of equipment & tooling.
Previous experience with project management and time management.
Previous experience working in a Union Environment or Bargaining Unit.
Knowledge of or experience with Bill of Equipment (BOE), Bill of Process (BOP), Bill of Sediment Elimination (BOSE) and Bill of Operations (BOO).
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.
Compute & Connectivity Hardware (CCH) is part of GM’s Vehicle Software & Electronics Engineering (VSEE) organization within Software & Services Engineering. The team develops the physical hardware foundation for GM’s software-defined vehicles, including compute, connectivity, networking, displays, and other electronic platforms that enable in-vehicle software, infotainment, ADAS, vehicle controls, and connected experiences.
CCH’s work spans architecture, requirements, hardware and electronics design, embedded hardware, systems integration, validation, launch, and in-market performance. Our engineers collaborate across software, systems, controls, cybersecurity, functional safety, vehicle engineering, suppliers, and manufacturing to develop reliable, production-ready hardware for GM’s vehicle portfolio.
Job Description Summary
We are seeking a high-performing Senior Display Hardware Engineer OLED Panel to join our Advanced Display Technology team, driving New Technology Introduction (NTI) for OLED panel architecture, with a focus on pixel structure, OLED stack design, and TCON/driver IC integration. You will explore and develop next-generation OLED panel technologies with suppliers, lead their validation, and mature them to a level of technical readiness suitable for handoff to the Sourcing team for production programs.
The Role:
The Senior Display Hardware Engineer, OLED Panel will explore, develop, and mature OLED panel technologies ahead of production programs, building a validated technology pipeline for future OLED-based automotive displays such as instrument clusters, center displays, and passenger infotainment screens.
The engineer will be responsible for advancing the technical readiness of the OLED pixel structure, OLED stack, and the associated timing controller (TCON) and driver IC design.
You will work closely with OLED panel suppliers, semiconductor/driver IC suppliers, and internal cross-functional teams to explore and mature next-generation OLED technologies and will partner with the Sourcing team to hand off mature technologies into production programs.
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 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
]]>At General Motors, we pride ourselves on designing, building, and selling the world's best vehicles and transportation solutions. We are seeking a new generation of visionaries to help launch bold Design initiatives and shape new directions for General Motors. Through our Intern Program, you will gain hands-on, career-specific experience while learning from industry leaders and experts in Creative Design.
GM Design's 2027 internship opportunities include Creative Design Interiors and Creative Design Exteriors. We are looking for enthusiastic creative students who are willing to learn, enhance their skills, work as a team, and communicate what they are working on.
The Team:
The Creative Design team works with studio engineers, modelers, designers, and fabrication personnel to develop design solutions and scale models for future vehicles.
What You’ll Do:
• Create new and unique design concepts.
• Make perspective sketches and renderings sufficient to communicate innovative design ideas.
• Develop two- and three-dimensional mock-ups of proposed design solutions.
• Work with studio engineers, modelers, other designers, and fabrication personnel in the development of a scale model.
Please note, you must submit a portfolio to be considered for this position – see instructions below.
Required Qualifications:
• Pursuit of a bachelor's degree or advanced degree in Industrial Design, Product Design, Transportation Design, or Automotive Design.
• Must be graduating between December 2027 and May 2029.
• Able to work full-time, 40 hours per week during the summer months.
Preferred Qualifications:
• Proficiency with Photoshop or comparable digital sketch software.
• Strong sketching skills, including perspective, shading, proportions, and line quality.
• Strong visual communication skills demonstrating varied materials, finishes, and textures.
• Experience with the fundamentals of 3D digital software such as Blender, Sub-D, Alias, or comparable tools.
• Ability to understand a brand and customer and propose designs that represent the brand's design language and identity.
• Portfolio including automotive and/or industrial product design proposals; a minimum of three unique projects is recommended.
• Portfolio examples showing development of a design concept from 2D to 3D.
• Developmental sketches highlighting the thought process and selection leading to the final design.
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. The successful candidate is expected to report to Pasadena, CA, or Warren, MI, 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 if you are selected, please apply using the permanent address you would move from.
Start Dates:
Start dates for this internship role are May & June of 2027.
Compensation:
• The salary for this role is $6,100 monthly.
What You’ll Get From Us (Benefits):
• Paid U.S. GM Holidays
• GM Family First Vehicle Discount Program
• Result-based potential for growth within GM
• Intern events to network with company leaders and peers
Portfolio Submission Instructions:
We strongly encourage you to include a link to your online portfolio in the "website" section of your application or directly on your resume. This allows us to easily access larger files and view your work in its intended format.
Please do not submit Dropbox files or Google Docs.
1.Save your portfolio as a PDF document.
2. Name your portfolio LAST NAME, FIRST NAME. Example: Candidate name is John Smith. Portfolio PDF file name is: Smith, John.pdf.
3. Upload it as an attachment; you may have to condense the file.
DISCLAIMER: The works included in your career portfolio must not be subject to any nondisclosure and/or confidentiality agreement. If the works in your career portfolio are owned by your current or former employer, or by any other third party, there must be express written consent from the owner allowing the works to be included in your career portfolio for sharing with General Motors ("GM"). By sharing your career portfolio, you grant to GM the right to quote, paraphrase, reproduce, distribute, or otherwise use all or any portion of the career portfolio for purposes of making a hiring determination. By sharing your career portfolio, you also agree to release and discharge GM, and its licensees, successors, and assigns, from any and all claims, demands, or causes of action that you may have regarding any use of the career portfolio, including (but not limited to) any claims based on the right to privacy, the right to publicity, copyright, libel, defamation, or any other right.
]]>About the Team
The Simulation Scalability team builds the core systems, frameworks, and workflows that ensure simulation runs reliably, efficiently, and at scale. We work across all simulation products and pipelines, addressing systemic issues, improving release quality, and strengthening the foundations that enable teams to iterate quickly and confidently.
Our work spans systems architecture, software engineering, release management, and quality strategy , with a mission to increase reliability, throughput, and operational excellence across the entire simulation ecosystem.
What You’ll Do
Release Management & Quality Strategy
Lead improvements to the end‑to‑end simulation release process, ensuring it is predictable, well‑defined, and continuously improving.
Define and drive the simulation-wide quality and test strategy, including shift‑left testing, automated validation, and early‑signal integration.
Strengthen release readiness criteria, quality gates, and verification workflows across multiple simulation teams.
Partner with product teams to reduce regressions, shorten validation cycles, and ensure higher-confidence releases.
Scalability, Reliability & Stability
Improve the performance, stability, and reliability of simulation frameworks and core tooling used at scale.
Identify systemic bottlenecks in the simulation stack and deliver architectural improvements that increase throughput and reduce operational friction.
Enhance simulation exit codes, error attribution, and debugging workflows to improve diagnosability and reduce wasted compute.
Operational Excellence
Establish and enforce best practices for simulation incident management, improving resilience, recovery time, and overall operational readiness.
Improve signals, metrics, and monitoring patterns that help teams identify release-related issues earlier and more accurately.
Cross-Functional Leadership
Collaborate closely with simulation feature teams, infrastructure groups, and platform stakeholders to align on scaling needs, test coverage gaps, and systemic quality improvements.
Work backward from organizational-level problems to design solutions that raise simulation quality and reliability across all workflows.
Who You Are
We’re looking for engineers with depth in at least one of the following areas, and interest in growing across the rest:
1. Release Engineering & Quality Strategy
Experience improving release workflows, verification processes, or quality gates.
Ability to spot gaps in test coverage, validation workflows, or release signals and drive systemic improvements.
2. Systems & Solutions Architecture
Ability to analyze complex simulation or compute workflows and design scalable, maintainable solutions.
Skilled at identifying recurring failure patterns and eliminating systemic causes.
3. Software Development
Strong coding fundamentals with experience building production-quality services, frameworks, or tools.
Background improving reliability, performance, or developer experience in distributed systems.
We welcome candidates who bring strong expertise in one area and are eager to expand into the others.
Your Skills & Abilities
Strong programming skills in Python or C++.
Experience designing, building, or supporting production-grade systems.
Ability to operate in ambiguous problem spaces and drive clarity across teams.
Strong problem-solving skills in reliability, quality, or systems design.
What Will Give You A Competitive Edge
Experience with simulation systems, distributed compute, large-scale pipelines, or validation frameworks.
Background in release management, quality engineering, or test strategy.
Experience improving system reliability, performance, or developer workflows.
Familiarity with incident response or operational excellence practices.
Why Join the Simulation Scalability Team
You will shape the quality, reliability, and scalability of the entire simulation ecosystem.
You’ll work on high-impact systems with organization-wide visibility.
You’ll influence how simulation releases are validated, shipped, and scaled for the future.
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.
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.
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.
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:
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.
]]>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.
]]>Preferred Experience Includes:
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.
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.
]]>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.
]]>Digital Products owns the definition, development, and delivery of GM’s digital products and the customer experiences delivered through mobile applications, back-office platforms, and connected services. The organization brings together OnStar & Customer Experience Platforms and Digital Vehicle Experience and works closely with Vehicle Products to deliver digital contributors to the vehicle experience.
Digital Products is an exciting place to begin your career because interns can work on real products, services, tools, and experiences that connect customers with GM. You will learn from experienced professionals, collaborate across product and engineering teams, and gain exposure to how digital products are built, tested, launched, and improved.
About the opportunity
Digital Products is looking for Software Engineer Interns and Software Test Engineer Interns who are excited to build reliable digital products and the systems that support them. Depending on the team, you may contribute to application development, automation, data and integration services, software delivery, test tools, or lab and validation infrastructure.
Assignments are connected to real team priorities and may include design, coding, testing, troubleshooting, documentation, and continuous improvement across the development lifecycle.
Potential Team & Areas of Work
Opportunities may be aligned to the following groups and product areas from the Digital Products intern intake:
Potential Skills & Contributions
Required Qualifications
Preferred Experience
Compensation:
What You’ll Get From Us (Benefits):
Work Arrangement:
Digital Products owns the definition, development, and delivery of GM’s digital products and the customer experiences delivered through mobile applications, back-office platforms, and connected services. The organization brings together OnStar & Customer Experience Platforms and Digital Vehicle Experience and works closely with Vehicle Products to deliver digital contributors to the vehicle experience.
Digital Products is an exciting place to begin your career because interns can work at the intersection of software, hardware, vehicle systems, and customer experience. You will learn from experienced engineers and technical leaders, contribute to hands-on work, and see how connected and software-defined vehicle experiences are built and validated.
About the opportunity
Digital Products is looking for embedded and systems engineering interns who are interested in how software, hardware, controls, and vehicle systems work together. Depending on the team, you may contribute to low-level software, real-time systems, hardware/software integration, simulation, diagnostics, or test environments that help accelerate vehicle software development.
Assignments may include developing, integrating, simulating, testing, troubleshooting, and documenting components or systems used in engineering and validation.
Potential team and work areas
Opportunities may be aligned to the following groups and product areas from the Digital Products intern intake:
Potential skills and contributions
Required qualifications
Preferred experience
Compensation:
What You’ll Get From Us (Benefits):
Work Arrangement:
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 Oshawa Elevation Center on a full-time basis.
About The Role:
Lead thermal software and controls testing on HIL benches, ensuring robust validation of thermal controllers, software releases, system integrations, and simulated vehicle operating conditions. The role partners closely with software, controls, calibration, validation, modeling, automation, program, and supplier teams.
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:
The Sr Manufacturing / Execution zone manufacturing engineer you will lead the development, launch, and optimization of manufacturing processes within General Assembly OR Final Assembly. You will be responsible for implementing automation, tooling, and equipment solutions that support new vehicle programs, model changes, and continuous improvement initiatives while ensuring safety, quality, and operational performance.
What You’ll Do (Responsibilities):
Lead manufacturing engineering activities for assigned General Assembly/Final Assembly zones supporting new product launches, model changes, and production operations.
Develop, implement, and optimize manufacturing processes, automation systems, equipment, tooling, conveyors, and workstation designs.
Manage equipment and tooling projects from concept through procurement, installation, validation, and production launch.
Serve as the primary engineering contact for assigned production areas, ensuring launch milestones, readiness targets, and program timelines are achieved.
Collaborate with Product Engineering, Operations, Quality, Maintenance, Supply Chain, and suppliers to resolve manufacturing challenges and drive successful program execution.
Provide technical leadership to equipment suppliers and integrators throughout design, build, installation, and commissioning activities.
Support build events, launch activities, process validation, PFMEA development, and issue resolutions to ensure manufacturing readiness.
Drive continuous improvement initiatives focused on safety, quality, productivity, ergonomics, material flow, and cost reduction.
International & Domestic travel - about 70-75%
Your Skills & Abilities (Required Qualifications):
Bachelor’s degree with major in mechanical engineering or Equivalent Relevant Experience
Required: 10 years manufacturing/engineering, 3 years launch experience
Availability to work on weekends and Holidays as required
Ability to travel up 75% which can be extensive at times during product program launches
Deep technical knowledge and ability in process engineering disciplines
Thorough knowledge of Manufacturing Processes and Equipment. Also, the Global Launch Process and Vehicle Development Process.
Demonstrate excellent 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 and significantly complex projects and assignments with highest level of autonomy and accountability for results
Demonstrates initiative by reaching beyond work assigned to improve output and/or help others
Proven ability in project management skills and ability to teach others
Proven desire and ability to manage/coach performance of direct reports
Ability to solve complex problems independently
Strong written and oral communication skills
Flexibility with changing work hours and environment as required to meet project timeline and support plant operating schedule
Shows initiative by reaching beyond work assigned to improve output and/or help others
What Can Give You a Competitive Edge (Preferred Qualifications)
Experience supporting General Assembly, Final Assembly, or other automotive manufacturing operations.
Experience with automation, robotics, conveyors, fastening systems, PLCs, or industrial controls.
Knowledge of Lean Manufacturing, Continuous Improvement, Six Sigma, Red X, or similar problem-solving methodologies.
Experience managing equipment installations, manufacturing launches, and production readiness activities.
Ability to read and interpret mechanical drawings, electrical schematics, and manufacturing layouts.
Knowledge of PFMEA, process validation, and manufacturing risk assessment methodologies.
Familiarity with OSHA requirements and manufacturing safety standards.
Experience collaborating with cross-functional teams, suppliers, and manufacturing operations in a high-volume production environment
Shape how our customers experience the vehicle – every time they open a door, close a hatch, or step inside.
Role Overview
As the Body Structures and Closures Vehicle Systems Engineer (VSE), you are the chief integrator for Body Structures and Closures Systems – spanning Body in White, Body Sealing Solutions, Closures sheet metal, Chassis Structure, Door Seals, and frunk black plastics.
You own design intent and technical execution, ensuring every subsystem decision rolls up into compelling vehicle-level performance, quality, timing, and cost. This is a highly visible, high-impact role where you connect the dots between engineering rigor, customer experience, and business outcomes.
You are the voice of the Body Structure and Closures SMT, partnering closely with Purchasing, Manufacturing, Studio, Compartment Integration, Program Teams, and Performance & Validation to deliver a robust, on-time, and cost-competitive product. Success in this role requires strong technical judgment, disciplined program stewardship, and the ability to influence across a complex, matrixed organization.
Why This Role Matters
In this role, you will:
If you are energized by complex systems, visible impact, and leading through influence, this role gives you a platform to make a meaningful difference for our customers, our teams, and our future products.
What You’ll Do
System Integration & Program Leadership
Technical Decision-Making & Problem Solving
Vehicle-Level Technical Acumen
Executive & Cross-Functional Communication
Influence, Negotiation & Alignment
Planning, Prioritization & Risk Management
Cost, Budget & Imperative Management
Engineering Execution & Supplier Readiness
Change, Validation & Launch Leadership
Engineering with Simplicity (EwS) & Innovation
Technology & Competitive Awareness
What You Bring
Additional Job Details:
Lateral opportunity only
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).
Remote Type:
This role is categorized as 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}.
Travel Requirements (If applicable):
The selected candidate will be required to travel <25% for this role.
Relocation Eligibility:
This job is not eligible for relocation benefits. Any relocation costs would be the responsibility of the selected candidate.
Work Related Driving Requirements (If applicable):
This position requires the ability to legally operate a motor vehicle on a regular basis. A company vehicle will only be provided for this role by passing the Motor Vehicle Report review.
Export Controls (If Applicable):
Management Level:
7
]]>
The role sits at the intersection of MCU software, platform integration, embedded systems, safety, diagnostics, automation, and release engineering. The successful candidate will identify integration defects early, drive issues to closure with development and hardware partners, and provide clear pass/fail or dependency-blocked evidence for release readiness.
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.)
To help facilitate administration of relocation benefits if you are selected, please apply using the permanent address you would move from.
Work Arrangement:
On-Site: This internship is categorized as on-site. The selected intern is expected to report to the office 5 days a week.
Locations:
Milford, Michigan
Warren, Michigan
About the Role
General Motors is seeking a Radar Hardware Development Engineer Intern to support the development and evaluation of advanced radar hardware for next-generation vehicle safety and automated-driving capabilities. You will gain hands-on experience with radar electronics, RF signal chains, sensor architecture, hardware bring-up, laboratory testing, vehicle integration, and validation.
Working with experienced hardware engineers, the Munich radar team, and cross-functional partners across GM, you will contribute to design reviews, bench testing, troubleshooting, data analysis, and technical documentation for complex automotive sensing systems.
Key Responsibilities
Required Qualifications
Preferred Qualifications
Compensation:
What you’ll get from us (Benefits):
Onsite: This role is categorized as onsite. This means the successful candidate is expected to report to Ultium Cells 1, Warren Ohio on a full-time basis.
The Role: The Safety Operations Lead plays a critical role in ensuring the safety and well-being of employees at the Ultium Cells 1 complex.
Introduction to Ultium Cells
Ultium Cells LLC is a joint venture (JV) between General Motors and LG Energy Solutions, combining manufacturing and electrochemical expertise to create battery cells that will power GMs electric vehicles.
About the Opportunity:
The Safety Supervisor is responsible for leading and managing a team of salaried and contract safety professionals, as well as managing the on-site medical department. The Safety Supervisor is responsible for analyzing and identifying strategies for the site that align with GM Global Workplace Safety strategies including but not limited to:
Key Responsibilities:
Your Skills & Abilities (Required Qualifications)
What Will Give You A Competitive Edge (Preferred Qualifications)
This job may be eligible for relocation benefits.
]]>Core Responsibilities
• Deliver integrated hardware, software & calibration for Development, Production and Service by ensuring program execution to standard processes
• Support software teams to develop and execute Key Behavior Tests (KBTs) and Milestone Tests (Global B controllers), both manually and automated.
• Lead activities and guide other team members in completing tasks such as testing, automation, and issue resolution.
• Verify control module functionality on bench and in vehicle (examples: perception systems, lateral & longitudinal control systems, mapping & localization systems etc.)
• Develop test protocols and scripts for validating hardware and software integration
• Support continuous development of new test features, processes, and methodologies
• Work collaboratively with multiple agile teams to help deliver end-to-end products and features, seeing them through from conception to delivery
• Mentor junior team members, providing coaching and guidance on challenging issues
• Support Problem Resolution and Tracking Systems (PRTS) and Global Incident Management (GIMs).
• Participate in development trips, assembly plant activities, prototype shops, garages, and fleet testing. (Less than 10%)
Required Skills and Experience
• Bachelor's degree in Software/Computer/Electrical/Embedded Systems/Electronics Engineering or equivalent work experience
• 5+ years’ experience with either software development, software integration and/or software testing
• Prior software experience, preferably in C/C++ with exposure to bash, python and windows batch scripting
• Knowledge and experience in safety critical embedded control system integration and testing in a HIL environment
• Ability to independently investigate issues based on limited information, demonstrating high level of analytical ability to resolve complex problems
• Creative, disciplined, strong sense of responsibility, delivery, and schedule commitment
• Must have a valid U.S. driver’s license and ability to drive test vehicles for GM
Preferred Skills and Experience
• Understanding of major automotive vehicle systems such as Advanced Driver-Assistance (ADAS), Software Defined Vehicle(SDV),Motion Control, Automotive Network, and Powertrain
• Experience with Linux or QNX OS/file system
• Experience with test software such as CANoe, Vehicle Spy, INCA, AutoVAL
• Knowledge of serial data communications (Ethernet (preferred), CAN, LIN)
• Exposure to the Adaptive AUTOSAR service-based vehicle platform
• Exposure to CI/CD development methodologies
• Experience with Unit Test tools e.g. (CppUTest, Google Test etc) and respective Jenkins plugins
• Experience with Agile/SAFe methodologies
]]>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:
General Motors is seeking a software engineering leader to modernize and scale the build systems that support software-defined vehicles. This role will help lead the transition from a legacy Make-based system to Bazel, Google’s open-source build tool, improving speed, reliability, and robustness across the engineering organization. The successful candidate will drive this capability at scale, influence technical direction across teams, and help establish lofty platform capability goals.
What You'll Do:
Your Skills & Abilities (Required Qualifications):
Key Deliverables:
Measures of Success:
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 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:
checklist and safety controls system validation according to Global Design for Health and Safety Specification (GHS- 1) risk management and process; and Programmable Safety System (PSS) guidelines in accordance with GM’s global Monitored Power Systems (MPS), Safety Controls Systems (SCS) failsafe design standards. Automate Fanuc robotics to prove automotive applications, load teach part programs, validating robot process paths, Dual Check Safety (DCS) zones, payload, Mastering, and Vision applications 3D IR (infrared) using GM approved Kowa, Matrox and Cognex cameras hardware per GVS requirements, auto backup program methods, develop Human Machine Interface (HMI) screens enabling test sequence of operations, program recovery and faults. 20% domestic travel required.
REQUIREMENTS: Bachelor's degree in Electrical Engineering, Mechanical Engineering, or related field of study and Five (5) years of Progressive, post-baccalaureate experience in a related occupation. Four (4) years of experience with: Siemens Step7 Simatic Manager PLC, SINUMERIK 840D CNC hardware and software PLC and NC programming with safety integrated knowledge, Sinamics VFD and Servo Drives; HMI/SCADA, TIA Portal, WinCC Flex, Starter/Drive ES, CNC Technology, Advanced HMI, toolbox, HMI Pro and Rockwell PLC controllers; RSLogix5000, Design studio, Hardware Design using E-plan, Auto-cad; General Motors Global Common Controls Architecture, Specifications and Standards (GCCS, GCCH) for PLC and G4 Robots, Flexible Assembly Control Systems (FACS) and design, PTPMC, GPMC; Industrial Automation Controls Protocols like Profinet, Profibus, Ethernet and Interfacing with third party specialty devices like Press systems, Nutrunners, Cameras, RFID, laser systems; Process system design development, implementation and testing along with technical problem resolution, root cause analysis and mange key strategic interfaces within vehicle/powertrain automotive system using standard methodologies; Simultaneous engineering activities and equipment reuse, process error proofing including controller safety G risk with cross functional groups; and Supporting Controls run off, approving electrical drawings, and continuously improving quality, cost, system responsiveness and safety.
#LI-DNI
]]>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
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.
As a Facilities Engineer you will support the safe, reliable, and efficient operation of GM’s Kokomo facilities. You will serve as the site electrical subject-matter expert and partner with maintenance, construction, operations, contractors, suppliers, and utility providers.
What You’ll Do
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 (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)
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)
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 is building a unified Vehicle Data Platform that moves data and configuration between vehicle ECUs and the cloud. Our team is the only team within General Motors that delivers software on every compute module the company has. Our software is delivered as libraries, apps, and services on Android, Linux, and QNX and covers four areas. The control plane retrieves configuration from the cloud and applies it across the vehicle's ECUs. The data plane collects, processes, and forwards data from vehicle systems to cloud storage. The SDK lets application teams use the platform. The unified logging infrastructure manages logs across the vehicle software stack.
We are looking for a Staff Software Developer to set technical direction and lead the work that spans these areas. You will make architecture decisions with the team, lead initiatives across organizations, and mentor senior and junior engineers. You will work with application, platform, cloud, cybersecurity, and privacy teams to deliver software on production ECUs with limited CPU, memory, storage, and bandwidth.
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:
Hybrid: This position does not require an employee to be onsite full-time, but the general expectation is that the employee will be onsite a minimum of 3 days each week.
The Role:
The Low Voltage Infrastructure Team within the Embedded Platform Systems & Infrastructure organization is focused on the development of systems and controls centered around on-vehicle low voltage power generation, energy storage, power management, distribution, and consumption on ICE, EV and PHEV vehicle platforms. There is no better time to join this domain as we evolve to the next generation of low voltage power strategy, innovation, and capability in current product VIP and the next generation on SDV2.0.
As a Software Solution Lead Engineer, your technical expertise in the low voltage power management domain will be leveraged throughout the entire vehicle development life cycle, including requirements definition, design and implementation, integration, testing, and problem resolution. Your products will be at the core of all vehicles within the General Motors portfolio and are essential to keeping General Motors at the forefront of low voltage related technologies.
Your endeavors will significantly contribute to GM's vision of a world with ZERO Crashes, ZERO Emissions, and ZERO Congestion, emphasizing the transformative impact of Software Defined Vehicle architecture.
Core Values
What You'll Do:
Embedded Software Development Expertise:
Your Skills & Abilities (Required Qualifications):
What Will Give You A Competitive Edge (Preferred Qualifications):
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 our hub in Markham, ON three times per week, at minimum.
General Motors is seeking a Senior Software Developer to build and evolve the software platforms that support production mapping, Data Over the Air (DOTA) Back Office capabilities, and future map-database foundations.
This role is for a hands-on senior engineer who can design, implement, test, deploy, and operate reliable backend systems at production scale. The developer will contribute across REST services, distributed data workflows, cloud infrastructure, database architecture, release automation, observability, and operational support. The work will help deliver accurate map data and establish scalable foundations for future mapping and Super Cruise capabilities.
The ideal candidate combines strong software engineering fundamentals with practical experience building cloud-native services and data-intensive systems. Experience with mapping, geospatial data, ADAS, connected vehicles, OTA delivery, or other high-scale distributed platforms is valuable. Familiarity with emerging Agentic AI capabilities is a plus, but the primary focus is excellent software and platform engineering.
Design and develop production-grade backend services and REST APIs that support DOTA Back Office workflows, map-data delivery, release management, and related Production Mapping capabilities.
Build reliable services and data pipelines that ingest, transform, validate, store, version, archive, and distribute map data and metadata.
Help define the next generation of map-database foundations, including data models, schemas, interfaces, data lifecycle strategies, partitioning, indexing, query performance, and evolution of database platforms over time.
Develop software across the full SDLC: requirements clarification, design, implementation, code review, automated testing, deployment, monitoring, incident response, and continuous improvement.
Apply sound software design principles, including modularity, maintainability, security, testability, resilience, observability, and clear separation of concerns.
Deploy and operate workloads in approved cloud environments using modern cloud-native patterns, containerization, infrastructure as code, and automated CI/CD.
Improve the reliability, scalability, performance, cost efficiency, and operational readiness of DOTA and map-data services.
Build automated validation and release-readiness checks that help ensure map-data quality and safe, repeatable production releases.
Collaborate with mapping, DOTA, data engineering, vehicle software, validation, infrastructure, and product stakeholders to translate business and technical needs into durable solutions.
Participate in production support and contribute to operational practices such as dashboards, alerting, runbooks, root-cause analysis, and incident prevention.
Mentor engineers through design reviews, code reviews, technical guidance, and knowledge sharing.
Stay current with practical uses of AI-assisted development and Agentic AI, and identify appropriate opportunities to improve engineering productivity, diagnostics, testing, documentation, or operational workflows.
Bachelor’s degree in Computer Science, Computer Engineering, Software Engineering, or a related technical discipline; equivalent practical experience may be considered.
5+ years of professional software engineering experience developing and supporting production systems.
Strong proficiency in at least one backend programming language such as Python, Java, Go, C++, or C#.
Demonstrated experience designing and implementing RESTful services, APIs, and backend applications.
Strong database experience, including relational database design, SQL, schema design, data modeling, indexing, query optimization, transactions, and data integrity.
Experience with one or more NoSQL, distributed, analytical, or cloud-native data technologies.
Experience with software development fundamentals, object-oriented or equivalent design, algorithms and data structures, concurrency, error handling, and performance tradeoffs.
Experience working through the SDLC, including requirements, architecture/design, implementation, unit and integration testing, code reviews, CI/CD, deployment, and production support.
Experience developing cloud-based applications using services for compute, storage, networking, security, and monitoring.
Experience with Git-based development workflows and automated build, test, and deployment pipelines.
Strong communication and collaboration skills, with the ability to explain technical decisions to both engineering and non-engineering partners.
Experience with Azure and/or Google Cloud Platform.
Experience with Kubernetes, Docker, Terraform, Databricks, Apache Spark/PySpark, workflow orchestration, or event-driven systems.
Experience with data-intensive systems, large-scale pipelines, data archiving and retrieval, data lineage, or high-volume content delivery.
Experience with geospatial data, map databases, HD mapping, ADAS, autonomous vehicles, connected vehicles, OTA systems, or embedded/vehicle software platforms.
Experience designing systems for high availability, horizontal scalability, disaster recovery, and operational resilience.
Experience with observability practices, including structured logging, metrics, tracing, dashboards, alerting, and SLO-oriented operations.
Familiarity with modern AI-assisted software development and Agentic AI concepts, such as LLM-enabled developer tools, workflow orchestration, retrieval-augmented systems, automated triage, or human-in-the-loop engineering workflows.
Experience evaluating AI-enabled engineering workflows for accuracy, security, privacy, reliability, and responsible adoption.
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:
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:
Global Virtual Engineering (GVE) at General Motors is looking for a driven individuals to become Battery Cell Electrochemistry Analysis Engineer. This position is a highly technical, interdisciplinary role focused on advancing the future of battery cell design.
The role combines electrochemical modeling, data science, battery design optimization, and cross-functional technical leadership to deliver models and tools that guide electrochemical, thermal, mechanical, electrical, and safety-related design decisions for electric vehicles. This involves characterization & optimization of battery cell performance for vehicle range, charging capability, and battery aging effects.
What You'll Do:
Your Skills & Abilities (Required Qualifications)
What Will Give You A Competitive Edge (Preferred Qualifications)
Relocation: This role MAY be eligible for relocation benefits
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]
]]>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
The Data Engineering organization at General Motors is building a unified Vehicle Data Platform that moves data and configuration between vehicle ECUs and the cloud. Our team is the only team within General Motors that delivers software on every compute module the company has. Our software is delivered as libraries, apps, and services on Android, Linux, and QNX and covers four areas. The control plane retrieves configuration from the cloud and applies it across the vehicle's ECUs. The data plane collects, processes, and forwards data from vehicle systems to cloud storage. The SDK lets application teams use the platform. The unified logging infrastructure manages logs across the vehicle software stack.
We are looking for a Senior Software Developer to own features and components across these areas. You will take work from design through release and field support, write and review code, and mentor junior engineers. You will work with application, platform, cloud, cybersecurity, and privacy teams to deliver software on production ECUs with limited CPU, memory, storage, and bandwidth.
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:
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 Service Engineering is seeking an experienced people leader to lead a Mechanical Service Information Development team responsible for delivering accurate, timely, and usable service information throughout the vehicle lifecycle.
This role leads a team supporting current and future vehicle launches, warranty-reduction initiatives, and ongoing maintenance of service procedures throughout the vehicle lifecycle. The Team Leader combines people leadership, technical direction, operational execution, and strategic improvement to help technicians and customers receive accurate, accessible, and efficient service information when they need it.
The successful candidate will lead a team of technical professionals who manage service information across body, exterior, interior, and electrical commodities. The role also provides an opportunity to shape the transition to a new authoring system, advance artificial intelligence and automation opportunities, improve service information quality, and lead complex projects that move the business forward.
What You’ll Do (Responsibilities):
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 the Global Technical Center in Warren, MI three times per week, at minimum.
]]> Nesta posição, você será responsável por:
O que buscamos em você:
Diferenciais que podem destacar seu perfil:
IMPORTANTE: Incluir o currículo atualizado no momento da aplicação na vaga ou sua candidatura não será considerada.
]]>These opportunities are 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 teams work across disciplines and cultures to translate creative ideas into expressive forms, refined surfaces, and tangible vehicle experiences through digital and physical craftsmanship.
This evergreen requisition is established for talent pipelining purposes. GM China Design Studio is building a long-term pipeline of talent in Digital Modeling and Surfacing, Clay Modeling and Sculpting, and CAM/CNC Clay Milling, primarily at Modeler and Senior Modeler levels, in support of current and anticipated business needs. Depending on the specialization, opportunities may also be titled Digital Sculptor, Digital Surface Modeler, Clay Sculptor, or Clay Modeler.
We welcome exceptional talent from around the world who are interested in contributing to production programs and advanced design exploration in our China studio. These are hands-on, individual-contributor opportunities; responsibilities and project ownership will reflect each candidate’s specialization and experience. People-management experience is not required.
This posting covers related specialisms rather than a single role requiring expertise in every discipline. We welcome digital modeling specialists, physical modeling specialists, and candidates whose experience connects digital surfacing, clay sculpting, and machining.
When submitting your application, please include:
Please ensure your materials exclude undisclosed, confidential, proprietary, or otherwise sensitive information, projects, or materials belonging to employers or clients. Share only work you are authorized to disclose; academic, personal, or non-confidential examples may also demonstrate your capabilities.
Our recruiting and design teams will review your materials. If your profile aligns with a current or future opportunity, a recruiter will contact you to discuss next steps. This is an ongoing talent pipeline, rather than a commitment to an immediate vacancy; contact timing will depend on business needs and relevant opportunities.
If you do not meet every element below, we still encourage you to apply. We value artistic judgment, technical craft, strong specialist capabilities, and the potential to grow.
Help transform vehicle design ideas into digital surfaces and physical models that teams can evaluate, refine, and develop toward production. Within our broader design delivery and studio operations environment, you will combine artistic sensitivity with technical precision to preserve design intent while addressing engineering criteria, build feasibility, quality, and timing.
Digital modeling opportunities focus on developing vehicle and component geometry, from early form exploration to refined surfaces and finished digital models. Physical modeling opportunities focus on building, sculpting, refining, and maintaining interior or exterior clay models. CAM/CNC-focused opportunities support the accurate and safe machining of those models.
You will collaborate with relevant partners across Interior and Exterior Design, digital and physical modeling, Studio Engineering, fabrication, and studio operations. Assignments may cover early theme development, design reviews, detailed refinement, and later-stage validation for advanced or production programs.
Responsibilities will be selected according to your specialization, experience, and assigned program. You are not expected to perform every activity listed below.
We welcome different career paths and levels of experience. These capabilities describe potential areas of fit, not a cumulative checklist. Expertise in both digital and physical modeling is not required, and CAM/CNC proficiency applies specifically to machining-related assignments.
We do not apply a single fixed years-of-experience threshold across this talent pipeline. The expected depth of capability and independence will depend on the position, including any role-specific technical and safety requirements.
Connect advanced exploration with production impact in an internationally connected studio. Whether your strength is digital surfacing, hands-on clay sculpting, or precision machining, you can help turn creative ideas into models that make future vehicle design tangible.
We welcome exceptional specialists and multidisciplinary modelers at different stages of their careers. Your craftsmanship, perspective, and potential may align with an opportunity even if your experience does not map perfectly to every item in this description.
]]>
About the Role:
As a Machine Learning Validation Engineer on the Software Validation team within the AV organization, you will play a critical role in the execution of validation efforts for autonomous vehicle behavior. You will leverage your skillsets to craft guidance on behavioral performance and to design and implement complex V&V strategies. You will work with a team of engineers to define best practices, design and execute innovative analyses to establish performance requirements, drive innovation in testing, and verify the safety and performance of autonomous systems. You will be responsible for shaping the future of evaluation methodologies for AI systems and other ADAS features, architecting solutions that meet the testing needs of AI developers, systems engineers, and safety stakeholders.
What You’ll Do:
· Enhance AI/ML validation frameworks and tools for autonomous vehicle software systems.
· Design and implement automated testing pipelines for sim-based and real-world validation scenarios using ML.
· Use ML experience to enhance simulated performance metrics.
· Build tools leveraging ML and stats methods to id edge cases, and failure modes in AV.
· Analyze large scale driving data to identify validation gaps and improve testing coverage.
Required Qualifications
· Currently enrolled & in the process of obtaining a Master's Degree in Computer Science, Machine Learning, Engineering, or a related technical field.
· Graduating between December 2027 and August 2028.
· Experience coding in Python, SQL, C/C++ or others.
Preferred Qualifications:
· Research and/or work experience in a relevant field, such as machine learning, simulation, AI validation, deep learning, reinforcement learning, data mining, or computer vision.
· Intent to return to degree-program after the completion of the internship.
· Demonstrated software engineer experience via an internship, work experience, or coding competitions.
· Experience in systems software or algorithms.
· Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as first-authored publications at leading workshops or conferences.
· Demonstrated creativity and quick problem-solving capabilities.
· Experience with Hadoop/Hbase/Pig or Mapreduce/Sawzall/Bigtable.
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 $8,700 - $10,300 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 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.
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
]]>Work Arrangement : This role is categorized as hybrid on night shift (8pm to 5am) . 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
The HR Services Call Handling Analyst is responsible for managing and resolving People Services cases received via calls and emails from various business units. This role serves as a key point of contact for HR Representatives, Employees, and People Leaders, ensuring timely and accurate resolution of HR-related inquiries while maintaining high service quality and compliance with established policies and procedures.
What You'll Do
Your Skills & Abilities (Required Qualifications)
What Will Give You A Competitive Edge (Preferred Qualifications)
The Role:
This role leads manufacturing systems and support production launches. It focuses on safety, training, and team development. The position drives quality, productivity, and cost improvement using lean manufacturing principles. it ensures production targets are met through effective use of resources.
What You'll Do:
Your Skills & Abilities (Required Qualification)
Educational and Experience Background:
Skills:
The Staff Lead Engineer for Interior Lighting provides senior technical and execution leadership across vehicle programs, supporting the development and integration of ambient, functional, accent, dynamic, and illuminated interior lighting systems. The role connects mechanical hardware, electrical hardware, optics, software, validation, supplier execution, and vehicle integration to ensure lighting solutions meet customer, quality, timing, cost, and technical requirements.
This position serves as a key technical resource for Interior Lighting DREs and cross-functional teams, providing mentorship, resolving complex engineering issues, driving robust engineering processes, and helping translate Interior Lighting strategy into successful program execution.
What You’ll Do (Responsibilities):
Your Skills & Abilities (Required Qualifications):
What Can Give You a Competitive Edge (Preferred Qualifications):
As a member of the Vehicle Safety, Engineering & Defense Research Lab, you will be working with the Biometrics & Sensing research group. You will be applying your expertise in autonomous vehicles, driving simulators, human factors, and data science for developing innovative approaches to immersive user studies for automated driving-enabled vehicles. As a intern in this group, you will implement your solutions in driving simulators 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’ll Do:
Required Qualifications:
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., H1-B, OPT, STEM OPT, CPT, TN, J-1, etc).
The position is subject to export control restrictions and requires the successful candidate to be a U.S. Person (U.S. citizen, U.S. permanent resident, asylee or refugee).
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 minimum [or other frequency dictated by the business].
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.
]]>As a valued Researcher in the Mechanics, Materials and Process Research Lab at General Motors Research and Development, you will innovate in magnetic materials for next-generation vehicle and manufacturing applications. You will propose new research directions, establish technical research plans, and lead collaborative studies spanning magnetic materials discovery, computational modeling, processing, characterization, and validation.
You will generate new insights into the relationships among composition, crystal structure, microstructure, magnetic behavior, thermal stability, manufacturability, and system performance. Your work will guide experimental efforts, accelerate materials down-selection, and help translate research results into practical solutions for motors, sensors, actuators, power systems, and other GM applications. You will document and communicate results through high-quality technical reports, external publications, presentations, and records of invention.
What You’ll Do:
Required Qualifications:
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., H1-B, OPT, STEM OPT, CPT, TN, J-1, etc).
The position is subject to export control restrictions and requires the successful candidate to be a U.S. Person (U.S. citizen, U.S. permanent resident, asylee or refugee).
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 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.
]]>Job Summary
Perform engineering activities on the assessment and development of advanced Spark Ignition engine system technologies using analysis and experimental techniques.
Job Description
The Advanced Engines group is responsible for the design and development of Advanced Internal Combustion Engines and related technologies that are approximately 5-7 years away from production implementation. The focus of the group is to identify and develop innovative technologies that meet future emissions and fuel economy regulations, while exceeding customer expectations for the target market segment at a competitive minimum cost of compliance. Internal Combustion Engines (ICE) are developed for ICE Propulsion Systems and Hybrid Electric applications.
The successful candidate will be responsible for specifying and balancing requirements, execution and evaluation of designs, analysis, development, testing and validation of engineering projects where a substantial amount of creativity and initiative are involved as well as a high level of independent judgment. The broad scope of responsibilities may include any engine component or system. The role may include providing technical work direction to other engineers and/or support personnel. Actively engages in team issue resolution and supplier leveraging. Will work cohesively with a group of engineers, designers, and other support personnel responsible for executing smaller portions of larger projects.
TASKS AND RESPONSIBILITIES:
REQUIRED QUALIFICATIONS:
PREFERRED QUALIFICATIONS:
REQUIREMENTS: Bachelor’s degree in Electrical Engineering, Electronic Engineering, or related field of study. Five (5) years of experience as an Engineering Mgr, Systems Integration, Senior Systems & App. Engineer, Senior App. Engineer, Electrical Engineer, Engineering Mgr, App. Engineer, Sr Exec, or related occupation. Five (5) years of experience in the following: Engineering complex automotive propulsion systems; Technical decision-making guided by engineering first-principles; Developing analytical models using Excel and Matlab; Systems engineering; Battery engineering; Developing products from concept/prototype to production; and Developing engineering project requirements. Three (3) years of experience in the following: Analysis of thermal, electrical, and fluid systems; Selecting and assessing various cell formats and chemistries for battery pack applications; and High voltage battery systems.
#LI-DNI
]]>You will be part of a team that drives systematic and data-driven improvements to autonomous vehicle software by designing, implementing, and maintaining robust processes for evaluation and validation. We are looking for a highly motivated individual with excellent analytical skills to own end-to-end execution, improve evaluation methodologies, and communicate insights that establish confidence in the quality of our end-to-end ML stack.
In this position, you will work closely with AI/ML engineers, simulation engineers, systems engineers, and data partners to identify, analyze, monitor, and prioritize the signals used to assess performance. You will leverage simulation and on-road data to build scalable processes for evaluating coverage, metrics, uncertainty, and validation confidence.
If you are interested in having a major impact on accelerating validation confidence for ML-driven autonomy through creative problem solving, let’s chat!
Define AV evaluation and validation processes from initial concept through implementation, including test-framework requirements, scenario and test-suite design, coverage, metrics, and the evidence needed to assess confidence in system performance.
Design and implement scalable testing and simulation frameworks for test generation, execution, data collection, result aggregation, and reproducible analysis.
Provide hands-on implementation of infrastructure and data solutions to assess confidence in AV performance using simulation and on-road data.
Develop and apply methods to evaluate simulation validity, sim-to-real correlation, and the predictive value of simulation results.
Proactively scope and identify metrics, sampling approaches, and analytical methods needed to improve evaluation workflows and close gaps in evidence.
Contribute to automated triage and root-cause analysis strategies for AV deficiencies, regressions, and uncertainty in an end-to-end stack.
Articulate insights, summaries, limitations, and recommendations to engineers, technical leaders, and other stakeholders based on continuous analysis of AV performance.
Define and maintain scalable processes to identify, monitor, and improve evaluation KPIs and confidence measures.
Help connect continuous-improvement activities to the evidence needed to support safety, systems, and downstream readiness decisions.
Strong Python programming skills, with experience building clear, maintainable analysis, evaluation, or testing tools.
Experience designing or implementing testing, simulation, or evaluation frameworks for complex software/hardware or cyber-physical systems.
Experience with GitHub, Jira, or equivalent tools.
Demonstrated end-to-end ownership, from defining a problem through delivering and communicating the desired outcome.
A track record of analytical and systems-engineering work involving complex software/hardware systems or ambiguous AI functions.
Experience performing root-cause analysis and applying analytical methods to system or behavioral performance data.
Ability to creatively solve problems with limited supervision, learn quickly, and operate effectively in a fast-paced environment.
Strong cross-functional communication skills, including the ability to communicate data-driven findings to leadership.
Bachelor’s, master’s, or doctoral degree in engineering, physics, applied mathematics, statistics, data science, or a related discipline, or an equivalent combination of education and experience.
Experience with autonomous vehicles, ADAS, robotics, or production-grade robotic systems.
Hands-on experience with simulation environments, scenario generation, large-scale test execution, or analysis of simulation results.
Experience with statistical methods for product evaluation, risk assessment, sampling, or confidence analysis.
Experience developing data-driven metrics, scorecards, coverage measures, or regression-detection methods.
Experience with verification and validation, simulation-to-real-world correlation, test automation, or large-scale evaluation systems.
Passion for understanding complex robotics and AI systems and turning their behavior into measurable evidence.
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
Role Overview
GM Defense (GMD) is a dynamic and exciting growth opportunity within General Motors! Within GMD, the Integrated Product Support (IPS) organization is responsible for providing aftermarket support to our defense industry customers to ensure customer satisfaction and business growth. As part of the IPS organization, the Sustainment Parts and Service (SPS) Operations team is seeking a Part Order Fulfillment Program Coordinator to help coordinate the program management activities that keep customer commitments on track.
In this role, you will help coordinate part order fulfillment activities, support order flow through internal systems, and work cross functionally with operations, supply chain, finance, logistics, contracts, and program teams to maintain timing, resolve issues, and improve execution.
Coordinate incoming part orders and manage execution from order intake through fulfillment and delivery tracking
Support order management activities in SAP and related systems, including order setup, inventory validation, fulfillment coordination, and invoice readiness
Collaborate with logistics, packaging, purchasing, finance, contracting, and material management teams to ensure orders progress smoothly and escalate issues as needed
Maintain program timing plans, track open risks and issues, and support cross‑functional readiness activities related to parts and sustainment execution
Monitor operational metrics, identify bottlenecks, and contribute to process improvements as demand increases across future programs and contracts
Document and implement processes and procedures to enhance the GMD customer experience and improve operational efficiency
Your Skills & Abilities (Required Qualifications)
Bachelor’s degree in business, supply chain, operations, or a related field; equivalent experience considered
Minimum of 2 years of relevant professional experience
Candidate must be a U.S. Person (U.S. citizen, U.S. permanent resident, asylee or refugee).
Strong analytical, problem‑solving, and organizational skills, with exceptional attention to detail in a fast‑paced environment
Proven ability to manage multiple priorities, projects, and tight deadlines
Comfortable navigating ambiguity and adapting to shifting priorities with flexibility and sound judgment
Demonstrated passion for understanding customer needs and delivering an exceptional experience
Excellent interpersonal skills with the ability to effectively engage with all levels of GM and Government leadership
What Will Give You a Competitive Edge (Preferred Qualifications)
Experience with SAP or similar enterprise systems
Experience supporting government, defense, automotive, aftersales, or service parts operations
Familiarity with cross-functional program reviews, risk tracking, and change coordination
Experience working with US Army, TACOM, and other DoD functions
Understanding of DoD and/or other government/military program management structures and the standards that drive them
#GMD
]]>Responsible for specifying and balancing requirements, execution and evaluation of designs, analysis, development, testing and validation of major engineering projects where creativity and initiative are involved. Position also requires the ability to work with independent judgment with minimal input from supervisor. The broad scope of responsibilities covers one or more of the following: thermal cold plates, metal and plastic cooling lines and key thermal components for Drive Units and Internal Combustion Engines. Exercise technical direction and collaboration over other engineers or engineering support personnel to meet specific engineering objectives. Capable of managing projects with high degree of difficulty. Actively engage both internal and supplier teams in issue resolution. Work cohesively with engineering peers responsible for similar components for other applications.
Preferred Skills and Experience
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 seeking a Process Engineer to support electrode manufacturing operations at the Wallace Battery Development Center. This role sits at the heart of GM's battery development efforts, directly contributing to the advancement of next-generation electric vehicle and energy storage technologies.
Based in a pilot-scale battery development environment, you will play a key role in transforming emerging battery chemistries into scalable manufacturing processes. Your primary focus will be developing, optimizing, and executing electrode slurry mixing processes used in the production of advanced battery cells.
Working closely with product engineers, technicians, process engineers, quality teams, and manufacturing partners, you will help establish robust processes that enable future battery technologies to move from development into production.
The ideal candidate is passionate about advancing battery technology, enjoys solving complex technical challenges, and thrives in a highly collaborative environment where innovation and continuous learning are encouraged.
What You'll Do
Your Skills & Abilities (Required Qualifications)
What Will Give You a Competitive Edge (Preferred Qualifications)
Why Join This Team?
#LI-MH1
]]>
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
Responsible for leading product development and integration of thermal system components and subsystems for assigned vehicle program(s), inclusive of both underhood and in-cabin content.
As Lead DRE for the Thermal Team, you will lead a team of thermal component DREs to deliver on-time development, release, validation, and production of thermal subsystems and related components. The role may also include direct release responsibility for select thermal components or subsystems.
This position is a strong fit for an engineer seeking system-level design and performance ownership, team leadership responsibilities, regular interaction with the program team, visits to GM and supplier assembly plants, and broad cross-functional collaboration (including Systems, Performance, Calibration/Diagnostics, Design, Safety / Crashworthiness, Propulsion, HVAC, Electrical, Vehicle and GPS Integration, Manufacturing Engineering, Purchasing, Supplier Quality, Validation, and others).
You will join a strong team with support from Technical Specialists, the EGM, and DRE peers.
What You'll Do (Responsibilities)
Onsite: This role is categorized as onsite. This means the successful candidate is expected to report to Fort Worth, TX on a full-time basis.
General Motors has a need for qualified Millwright . 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:
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.
]]>The Role:
GM Defense is seeking a Supplier Quality Engineer - Plant Support (SQE) to perform supplier quality local to the Concord, North Carolina manufacturing site and coordinate emerging issues containment for supplier-responsible issues. As a technical liaison between suppliers and GMD teams, the SQE will work with suppliers to resolve manufacturing and quality issues, oversee APQP for new programs, and provide supplier development leadership throughout the lifecycle of a commodity for GM Defense programs.
What You’ll Do (Responsibilities):
Yours Skills & Abilities (Required Qualifications):
What Can Give You a Competitive Edge (Preferred Qualifications):
#GMD
#LI-KE2
The Senior Cybersecurity Engineer - GRC Engineering & Technical Controls is responsible for advancing enterprise cybersecurity risk management, regulatory compliance, and control assurance through a combination of governance expertise and engineering-driven solutions. This role designs, implements, and operates technical control frameworks, conducts risk and compliance assessments, and partners with engineering teams to implement, validate, and continuously monitor security controls across enterprise, cloud, connected vehicle, and operational technology environments. The position leads GRC engineering initiatives focused on automating and scaling governance, risk, and compliance capabilities, including Continuous Control Monitoring (CCM), Compliance-as-Code, Policy-as-Code, automated evidence collection, control validation, workflow orchestration, and AI-enabled governance processes. The engineer translates regulatory, contractual, cybersecurity, privacy, and vehicle cybersecurity requirements into actionable technical controls and measurable assurance activities, while driving integration between GRC platforms, security technologies, cloud services, and enterprise systems.
The ideal candidate combines strong cybersecurity, risk, compliance, and engineering expertise with the ability to bridge business, compliance, product, and technology teams. This individual will help modernize control assurance through automation, analytics, and AI-driven workflows, delivering scalable, data-driven risk, compliance, and governance capabilities that support enterprise objectives and global regulatory requirements.
· API & Data Pipeline Engineering: Architect, build, and maintain data pipelines and middleware connecting GRC platforms with cloud environments, CMDBs, IAM tools, vulnerability scanners, and CI/CD pipelines.
· Automated Evidence Collection: Develop custom connectors, automation scripts, and API-integrated workflows to automate controls testing and evidence gathering, reducing manual audit burdens.
· Policy-as-Code Development: Standardize and codify security policies into machine-readable formats. Implement guardrails using cloud-native policy engines and automated infrastructure-as-code checking tools.
· Continuous Control Monitoring (CCM): Define, design, and configure automated verification routines to monitor control effectiveness in near real-time, instantly flagging configuration drifts or compliance gaps.
· AI-Driven GRC Orchestration: Develop and orchestrate AI-driven GRC workflows and agentic capabilities to automate complex risk assessments, control validation, and evidence classification.
· Automated Decision Support: Design and integrate AI agents and LLM-powered pipelines with GRC platforms to streamline policy parsing, generate automated compliance scorecards, and provide intelligent remediation recommendations.
· Regulatory Translation: Interpret complex global, regional, and industry-specific regulations (including privacy and automotive standards) and translate them into actionable, engineering-focused technical control standards.
· Unified Controls Mapping: Maintain bidirectional traceability within a Unified Controls Framework (UCF) mapping regulatory obligations to common engineering requirements (e.g., NIST CSF, NIST SP 800-53, ISO 27001, SOC 2, and vehicle cybersecurity regulations like ISO/SAE 21434, UN R155/R156).
· Defensible Control Validation: Conduct scheduled, event-driven, and automated technical audits to validate that control implementations meet rigorous regulatory and certification standards.
· Functional Platform Ownership: Serve as the technical administrator and authority for the enterprise GRC / Integrated Risk Management (IRM) platform. Configure advanced workflows, relational schemas, and API access.
· Metric & Telemetry Engineering: Establish and aggregate automated compliance telemetry (e.g., control coverage, deficiency aging, and real-time posture indicators) into actionable executive-level dashboards.
· Education: Bachelor’s degree in Computer Science, Software Engineering, Cybersecurity, Information Systems, or a related technical discipline (or equivalent practical experience).
· Experience: Minimum of 7 years of progressive experience operating in a highly technical security environment, with a strong focus on GRC engineering, security engineering, IT compliance, or DevSecOps.
· Engineering & Scripting Acumen: Strong hands-on programming experience with Python, Go, PowerShell, or Bash to build integrations, handle data parsing, and interface with APIs.
· AI & Agentic Solutions: Hands-on experience or deep conceptual knowledge of leveraging AI agents, LLM APIs, and workflow orchestration frameworks to automate security and compliance tasks.
· Policy-as-Code & DevOps: Solid understanding of Git-based workflows, CI/CD pipelines, and infrastructure governance tools. Familiarity with Policy-as-Code concepts.
· Framework & Compliance Expertise: Strong practical knowledge of major industry security frameworks (such as NIST SP 800-53, ISO 27001, or SOC 2) and experience translating regulatory/certification requirements into technical controls.
· Technical Environment Acumen: Practical knowledge of cloud infrastructure (AWS, Azure, or GCP), modern IAM models, vulnerability management architectures, and containerized deployments.
· Advanced Compliance-as-Code: Direct experience building and implementing machine-readable compliance, automated controls testing, policy engine integration, or continuous assurance programs.
· Automated Guardrails & Configuration Drift: Experience designing, configuring, and maintaining automated guardrails, automated evidence collection routines, and configuration drift detection in production environments.
· Specialized Regulatory Frameworks: Prior experience adapting unified control structures to map to complex automotive, vehicle safety, or international privacy standards.
· Advanced GRC Platform Architecture: Prior experience customizing and deep-configuring market-leading GRC/IRM platforms via custom APIs, database schemas, and workflows.
Professional Certifications:
· Required: Holds at least one active, industry-recognized professional certification in risk, audit, or security engineering (e.g., CISSP, CRISC, CISA, or CGRC).
· Desired: Cloud or automation-focused technical certifications (e.g., CCSP, AWS Certified Security – Specialty, Microsoft Certified: Azure Security Engineer Associate, or GIAC Cloud Security Automation).
]]>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 an Interior Design Release Engineer, you will help develop the instrument panel (IP) structures that support the displays, electronics, and customer-facing features people see and interact with every day.
You will serve as a technical authority for IP structures, leading engineering development, integration, validation, and launch with a focus on safety, quality, technical excellence, cost, mass, craftsmanship, performance, and flawless execution.
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.
Onsite: This role is categorized as onsite. This means the successful candidate is expected to report to Lansing Grand River on a full-time basis.
The Role:
The Tool and Die Group Leader is responsible for overseeing the tool and die operations within the manufacturing plant. This role involves leading a team of tool and die makers, ensuring the production of high-quality tools and dies, and maintaining efficient workflow to support automotive manufacturing 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):
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. 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.)
]]>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
]]>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
GM is seeking a staff researcher to join the Battery Research and Development (BRD) to help drive electrode preparation activities to efficiently sustain, improve methods, and support the development of new processing techniques to increase product performance, quality, and reliability. The individual in this role will lead electrode development to requirement through scale-up with internal teams and external partners and develop next-generation cathode and anode electrode technology.
As a staff researcher, the candidate will be responsible for leading electrode process development including mixing, coating, calendaring, and cell assembly, to achieve electrode requirement. This person will be coordinating between the different functional groups such as design, process, controls, and interfacing with other key stakeholders such as operations, facilities, and manufacturing teams.
What You’ll Do
Your Skills & Abilities (Required Qualifications )
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.
]]>The territory covers Dallas/Fort Worth, TX and surrounding area. The selected candidate must live in territory or relocate to Arlington, TX (25 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 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
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 product information
Your Skills & Abilities (Required Qualifications)
What Will 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:
This role is an exciting opportunity to join the Advanced Battery Cell Engineering team at the Wallace Battery Cell Innovation Center (WBCIC). The WBCIC is GM’s engineering and pilot-development facility for designing, building, and validating next-generation battery cells and manufacturing processes. The Senior Advanced Battery Cell Engineer will work with advanced battery chemistries and cell formats, contribute to cell and component design, and partner with build engineers, technicians, and cross-functional teams to develop and mature next-generation prismatic cell processes.
The ideal candidate is passionate about automotive battery cell technologies, comfortable working directly on equipment and hardware, and able to move between hands-on execution and technical leadership. You will be responsible for setting up and running trials, analyzing results, resolving issues, documenting learnings, and presenting recommendations to internal and external audiences.
This is a hands-on engineering role with work in our advanced laboratory and pilot-manufacturing environments. You will personally plan and execute cell build process trials, equipment evaluations, and failure investigations. You will work directly with cell-assembly equipment, fixtures, tooling, materials, instrumentation, and automation to turn advanced cell concepts into repeatable processes.
What You'll Do:
Your Skills & Abilities (Required Qualifications):
What Can Give You a Competitive Edge (Preferred Qualifications):
We are seeking an experienced technical leader with a deep background in SRE, cloud operations, and project ownership to help define, build, and evolve reliability practices across our customer-facing OnStar experiences and the services behind them.
What You’ll Be Doing
What You Bring
Hybrid - This role is categorized as hybrid. This means the successful candidate is expected to report to our office three times per week, at minimum [or other frequency dictated by the business].
Why Join Us?
This is more than an engineering role — it’s an opportunity to help deliver reliable connected experiences customers depend on. 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—improving reliability across OnStar mobile apps, web experiences, in-vehicle services, and the systems behind them.
Ready to lead reliability at scale? Join our SRE team in Dublin and help power trusted OnStar experiences for millions of customers.
]]>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
]]>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)
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
]]>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
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.
]]>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
Purpose
Position Tasks and Responsibilities
Knowledge:
Skills:
Experience/Education:
Competencies:
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.
About Us
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.
This Job may be eligible for relocation benefits.
#LI-SA2
]]>This internship exposes qualified candidates to creative careers at General Motors and helps identify talent for direct positions in creative digital sculpting at Design. The individual will gain an understanding of the aesthetic judgments, technology, production methods, program timelines, and materials used in automotive digital sculpting.
The role also provides opportunities to collaborate on innovation challenges, interact with industry leaders, attend cross-functional networking events, and participate in community service activities.
The Team:
The intern will collaborate with GM Design, Sculpting, and Engineering teams to develop digital models of future automotive themes in a studio environment.
What You’ll Do:
• Work collaboratively with Design, Sculpting, and Engineering to interpret sketches and develop a digital model of a future automotive theme using established and emerging digital-sculpting best practices and techniques.
• Present finished models to Design and Sculpting leadership at midterm and final show events.
• Support general sculpting assignments within the studio environment.
Please note, you must submit a portfolio to be considered for this position – see instructions below.
Required Qualifications:
• Pursuit of a bachelor's degree or advanced degree in Industrial Design, Product Design, Animation, Game Design, Transportation Design, Fine Arts, Sculpture, or Ceramics.
• Must be graduating between December 2027 and May 2029.
• Able to work full-time, 40 hours per week during the summer months.
Preferred Qualifications:
• Creative ability demonstrated through a supporting 3D portfolio.
• Basic understanding of design and sculpting principles, including proportion, line, and surface.
• 3D computer modeling or animation skills.
• Experience with Alias, Maya, Rhino/Grasshopper, or Unigraphics/NX software.
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. The successful candidate is expected to report to Pasadena, CA, or Warren, MI, 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 if you are selected, please apply using the permanent address you would move from.
Start Dates:
Start dates for this internship role are May & June of 2027.
Compensation:
• The salary for this role is $6,100 monthly.
What You’ll Get From Us (Benefits):
• Paid U.S. GM Holidays
• GM Family First Vehicle Discount Program
• Result-based potential for growth within GM
• Intern events to network with company leaders and peers
Portfolio Submission Instructions:
We strongly encourage you to include a link to your online portfolio in the "website" section of your application or directly on your resume. This allows us to easily access larger files and view your work in its intended format.
Please do not submit Dropbox files or Google Docs.
1. Save your portfolio as a PDF document.
2. Name your portfolio LAST NAME, FIRST NAME. Example: Candidate name is John Smith. Portfolio PDF file name is: Smith, John.pdf.
3. Upload it as an attachment; you may have to condense the file.
DISCLAIMER: The works included in your career portfolio must not be subject to any nondisclosure and/or confidentiality agreement. If the works in your career portfolio are owned by your current or former employer, or by any other third party, there must be express written consent from the owner allowing the works to be included in your career portfolio for sharing with General Motors ("GM"). By sharing your career portfolio, you grant to GM the right to quote, paraphrase, reproduce, distribute, or otherwise use all or any portion of the career portfolio for purposes of making a hiring determination. By sharing your career portfolio, you also agree to release and discharge GM, and its licensees, successors, and assigns, from any and all claims, demands, or causes of action that you may have regarding any use of the career portfolio, including (but not limited to) any claims based on the right to privacy, the right to publicity, copyright, libel, defamation, or any other right.
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The Role
General Motors is bringing multimodal AI into the vehicle, and we are looking for a Staff AI/ML Software Engineer to lead the adaptation, fine-tuning, and distillation of foundation models for the automotive edge. You will build models that understand driver intent, conversational context, passenger requests, and the visual state of the cabin.
Large, general-purpose vision-language models (VLMs) and LLMs are highly capable, but their size makes them impractical to run on constrained vehicle compute. Slicing them down naively degrades exactly the reasoning and multimodal ability that made them worth deploying. Solving that is the core of this job.
You will join Vehicle Applied AI, the team that identifies, validates, and de-risks the AI capabilities that will define our future vehicles. We prove feasibility on representative vehicle hardware and chart a practical path to scale.
As an individual contributor technical leader, you will set the architectural direction for our model optimization pipelines. You will take the lead on parameter-efficient fine-tuning, dataset curation for complex human-machine interaction use cases, and teacher-student knowledge distillation. You will connect foundation model research with practical deployment, ensuring your models understand the cabin environment, improve through continuous data loops, and perform reliably after edge quantization. If you are a strong ML practitioner focused on maximizing the "intelligence per parameter" of compact models, this is the role for you.
What You'll Do
Design and build the knowledge distillation pipelines that transfer reasoning, vision, and language capability from foundation models into compact architectures suitable for edge deployment.
Apply and scale parameter-efficient fine-tuning techniques (LoRA, QLoRA, or similar) to adapt general-purpose models to specific cabin interaction and conversational AI use cases.
Build and own the reinforcement learning flywheel, implementing human-in-the-loop alignment (RLHF/DPO) and closing the loop between in-cabin data collection and continuous model improvement.
Curate, evaluate, and synthetically generate the datasets required to teach smaller models to accurately interpret passenger intent and complex visual cues inside the vehicle.
Implement Quantization-Aware Training or similar techniques, adjusting model architectures and training regimes to prevent accuracy degradation when models are compressed for hardware deployment.
Establish the evaluation frameworks and benchmarks for fine-tuned models, measuring hallucination rates, domain accuracy, and safety constraints.
Own our base model strategy: decide which foundation architectures we build on, and make the case for switching when something better arrives.
Your Skills & Abilities (Required Qualifications)
Bachelor's degree in Computer Science, Machine Learning, Data Science, Mathematics, or equivalent practical experience.
8+ years of software engineering or applied ML research experience, including work where you set the technical direction others built against, made the architectural calls on an ML system, and brought other engineers along with you.
Deep proficiency in PyTorch.
Hands-on experience fine-tuning large language models or vision-language models, with results you can speak to in detail.
Practical experience with at least two of: knowledge distillation, parameter-efficient fine-tuning, pruning, or quantization.
Based in or willing to work hybrid out of Mountain View, CA or Seattle, WA, reporting to the office three days per week at minimum.
What Can Give You a Competitive Advantage (Preferred Qualifications)
Master's degree or Ph.D. in Computer Science, Artificial Intelligence, or a related field.
Experience shipping a quantized model to a specific hardware target, including working through the accuracy regressions that surfaced along the way.
Familiarity with the broader training ecosystem (Hugging Face, DeepSpeed, Ray, or Megatron) and experience managing dataset pipelines at scale.
Domain experience in conversational AI, human-computer interaction, smart spaces, or deploying multimodal models in consumer-facing products.
Open-source contributions to foundation model tuning libraries, or published research on model compression, distillation, or efficient AI.
Ability to communicate complex AI training concepts and architectural trade-offs to cross-functional product and 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 ($189,300 - $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.
#LI-SA2
]]>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.
Preferred Experience Includes:
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.
]]>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.
]]>Compute & Connectivity Hardware (CCH) is part of GM's Vehicle Software & Electronics Engineering (VSEE) organization within Software & Services Engineering. Our team develops the hardware foundation that powers GM's software-defined vehicles, including compute platforms, connectivity systems, networking architectures, displays, and other electronic technologies that enable infotainment, advanced driver assistance systems (ADAS), vehicle controls, and connected customer experiences.
From concept through production, CCH engineers drive architecture, requirements development, electronics design, hardware integration, validation, launch, and in-market performance. We partner closely with software, systems, cybersecurity, functional safety, manufacturing, suppliers, and vehicle engineering teams to deliver reliable, scalable hardware solutions across GM's global vehicle portfolio.
About the Role
We are seeking a Mechanical & Thermal Engineering Technician to support the development, testing, and validation of in-house electronics designs (IHED) and next-generation vehicle technologies. This hands-on role is responsible for test setup, instrumentation, data collection, and execution of mechanical, thermal, and environmental testing of electronic modules and components.
The successful candidate will work closely with Mechanical, Thermal, and Electrical Engineering teams to execute test plans with high quality and repeatability, enabling data-driven engineering decisions and product validation.
Key Responsibilities
Test Setup & Execution
Instrumentation & Data Acquisition
Data Collection & Reporting
Laboratory Operations
Collaboration
Basic Qualifications
Preferred Qualifications
Work Location
This position is primarily on-site and requires regular presence within the Mechanical & Thermal Engineering Laboratory to support hardware preparation, test execution, equipment operation, and hands-on engineering validation activities.
#LI-JK3
]]>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.
Job Description Summary
As a Senior Hardware Engineer for High Voltage Power Packs , the candidate will be the technical leader responsible for understanding and rolling out the global requirements and strategy to assist in the execution of high voltage power pack assemblies (400W up to over 7.2kW), high voltage power outlets, and 12V power outlets for the interior and exterior of the vehicle. The candidate should possess creativity and initiative as well as a high level of independent judgement to support a growth commodity.
Job Description:
The Senior Hardware Engineer for High Voltage Power Packs is responsible for understanding and leading the roll-out of global requirements and strategy to assist the organization in execution. With the growing demand for more power offerings to customers, this role will require collaboration and creativity with cross-functional teams to define and agree on a product roadmap and awareness of program packaging constraints. Power outlets will range in high and low power applications (400W up to over 7.2kW) and include LIN devices. Creativity and initiative are involved as well as a high level of independent judgment. The candidate will support the organization as a technical leader for future and current technology, as well as support for global QRD activities. The individual will be responsible for supporting the strategy for component sharing and brand strategies – working with both the CCC team and component design studio. As the Senior Hardware Engineer, the candidate will support the DREs within the organization to mentor and support the DREs through technical issues and be able to independently provide recommendations.
The candidate will also:
Required Qualifications & Experience:
Preferred Qualifications
#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
This role offers the opportunity to work on critical vehicle electric power content by owning the mechanical and packaging execution of shields for generators, inverters, converters, battery vent tubes, jump start nuts, and related 12V hardware from concept through production. You will influence key integration decisions, solve packaging challenges, and help deliver robust solutions that support successful vehicle launches.
Work Environment
This position requires strong collaboration across electrical, systems, packaging, manufacturing, purchasing, quality, and supplier teams . Candidates should be comfortable leading technical discussions, driving issue resolution, and executing engineering deliverables in support of aggressive program milestones.
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
]]>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 an Over the Air Vehicle System Engineer (OTA VSE), you will be responsible for the End-to-End OTA deployment strategy for a launching program. Over-the-Air (OTA) programming is a complex feature that relies on a strong multi-functional team process. The individual in this role will be responsible for developing a plan and driving the execution of OTA deployment into specific projects aligned with the global vehicle development process. You will take charge of multi-functional team activities to deliver updated software content to engineering development, preproduction, and production vehicles. Other key initiatives include process improvement, efficiency gains including proficiency around the use of growing OTA capabilities. You should also possess a mixture of strong project management, communication, interpersonal, and technical skills; having the ability to manage projects across the development lifecycle with a strong focus on process maturity, risk management and closed-loop-learning will also be required. To thrive in an ambiguous or fast-paced environment, you must have a proven track record of multitasking, root cause analysis of complex issues, driving results, collaborating across all functions, and influencing others.
What You'll Do:
Your Skills & Abilities (Required Qualifications):
What Will Give You A Competitive Edge (Preferred Qualifications):
Calificaciones Requeridas:
Competencias Clave:
Experiencia en temas de comercialización, capacidad de negociación, gestión de relaciones interpersonales, capacidad analítica
]]>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 Industrial Engineer / Ergonomist will partner with Production, Global Supply Chain, Manufacturing Engineering, Plant Safety, Medical, and UAW leadership to improve plant performance while protecting employee health, safety, and well-being. This role combines industrial engineering, lean material strategy, ergonomics, standardized work, and continuous improvement to eliminate non-value-added work, reduce ergonomic risk, improve productivity, and support current operations, launch activities, and future-state manufacturing plans.
What You'll Do (Responsibilities):
Industrial Engineering (50%)
Ergonomics (50%)
Your Skills & Abilities (Required Qualifications):
What Can Give You a Competitive Edge (Preferred Qualifications):
This position may be eligible for relocation benefits
]]>
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.
Senior Software Test Engineer – Retail Data
Hybrid: This role is categorized as hybrid. This means the successful candidate is expected to report to Milford Proving Ground in Milford, MI three times per week, at minimum.
The Role
Help shape the future of transportation at GM. The AV Fleet Data Engineering Team is responsible for defining, integrating, and validating Retail AV Data Collection pipelines that power automated driving development at scale. We are seeking a Senior Software Test Engineer to lead automation and execution of vehicle-based and cloud‑connected data collection systems.
The Senior Software Test Engineer is responsible for building and executing validation strategies for GM’s on-vehicle and bench-based data recording stack (RADC and ASDR), with a focus on automated test development, CI/CD, and end-to-end data quality and performance benchmarking . The role spans bench and vehicle integration , OTA release validation , and deep data analysis , leveraging AI agents and automation tooling to streamline workflows and reduce manual effort. The engineer works closely with SW and platform teams to ensure robust, scalable data collection in support of current and future ADAS/AV programs.
What You'll Do
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 Staff Hardware Engineer- NFC Digital Key Hardware , 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 Staff Wireless 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):
Act as a hardware and wireless subject matter expert for NFC within GM’s Digital Key and short-range access systems.
Define hardware and requirements for NFC readers that support features such as passive entry, passive start, trunk access, and NFC card and phone access.
Lead the concept and requirements for vehicle Digital Key system development.
Translate vehicle level use cases and customer scenarios into clear link budgets and performance targets for NFC, including accuracy, precision, latency, robustness, and reader field strength and alignment in automotive packaging.
Provide NFC input into short range wireless and antenna roadmaps that can scale across nameplates and regions.
Hands-on RF Design, Bring-up, and Validation
Lead schematic and PCB layout reviews for NFC and Secure Element subsystems on Digital Key controllers, and NFC readers, focusing on NFC reader coil geometry, tuning networks, interaction with nearby metals (for example, the wireless charging coil), and coupling paths to other radios.
Bring up and debug Digital Key hardware in the lab, including reader front-end components, coils, tuning networks, power and clocking, calibration, and performance optimization for real vehicle environments.
Develop and execute NFC-focused test plans covering realistic positions, orientations, doors or zones, and packaging conditions that reflect real customer access paths, and validating behavior for key Digital Key use cases.
Use RF and time domain instrumentation to conduct NFC-specific tests such as field strength and load-modulation maps over the pad area, coupling and detuning versus phone cases and nearby metals, and ISO/IEC 14443/15693 interoperability and timing margin checks across voltage, temperature, and mechanical conditions.
Short Range Coexistence Leadership
Lead coexistence analysis and test content for Digital Key NFC readers in the presence of other technologies maintaining robust NFC detection and transaction reliability under multi-radio activities.
Coordinate with UWB, BLE, Wi-Fi, Bluetooth, Cellular, and GNSS teams on time domain and resource sharing strategies where appropriate, ensuring coexistence remains a shared responsibility while you provide technical leadership on problem framing, test design, and mitigation plans.
CCC Digital Key, Security, and System Alignment
Ensure NFC hardware implementations support current and emerging Car Connectivity Consortium (CCC) Digital Key expectations, particularly for secure, precise ranging and multi device operation.
Work with Digital Key system and software leads so that NFC, BLE and UWB behaviors, limitations, and coverage concepts are correctly reflected in system architecture, algorithms, and test strategies.
Execution, Documentation, and Mentorship
Build reusable reference test setups for NFC performance that can be used across labs and programs, including setups that directly compare different implementations.
Produce clear, structured documentation of requirements, architecture decisions, test strategies, coverage studies, and coexistence analysis that can be used in design reviews, engineering requirements, and supplier communication.
Mentor junior wireless, RF and hardware engineers and lab staff, modeling GM behaviors and helping to scale the Wireless Technology organization’s impact on Digital Key and short range connectivity.
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 - $250,000. 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-DH
]]>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.
We are seeking an Warehouse Operations Supervisor to lead daily inbound and outbound operations in a warehouse distribution center. You will oversee a represented workforce team, manage inventory, maintain quality standards, and support timely shipments to customers. This role requires rotating between first- and second-shift schedules based on business needs and may include nights and weekends. You will receive on-the-job training and professional development while helping strengthen safety, operational performance, and continuous improvement.
What You’ll Do
Your Skills & Abilities (Required Qualifications)
What Can Give You a Competitive Advantage (Preferred Qualifications)
GM's Manufacturing Plant Floor Systems is distributed between Austin, TX, and Warren, MI. We are the group within GM building innovative IT solutions supporting manufacturing, leveraging current and emerging technologies. Our focus includes technologies around error proofing, monitoring and control, robotics, AI, and intelligent automation. Our work supports GM manufacturing goals to build quality products with zero defects.
The Sr. Systems Engineer is responsible for leading the deployment, modernization, and ongoing support of software applications used globally in GM manufacturing plants. This role will help deconstruct existing deployment processes and make them AI-centric, improving speed, repeatability, reliability, and business engagement across GM’s manufacturing footprint. In this role, you will work hands-on to build full-stack application environments based on detailed requirements and system specifications. Deployment activities will include gathering requirements from manufacturing plants, updating existing software installations, configuring applications for plant-specific needs, testing and troubleshooting application or plant-configuration issues, and developing automation for repeatable deployment activities.
The ideal candidate combines deep experience with GE Digital CIMPLICITY (SCADA), OPC UA/DA, PLC-to-MES data integration, and shop-floor IT infrastructure with hands-on expertise in AI/ML integration. The role will apply generative AI to automate PLC and SCADA script generation, develop predictive maintenance analytics, and enable natural-language query interfaces for plant-floor data while preserving the reliability and operational stability required in manufacturing environments.
This role requires a strong development background to build new capabilities, process automation, test automation, and AI-enabled deployment workflows. The engineer will identify and implement responsible AI solutions, contribute to security lifecycle maintenance, ensure that third-party applications and operating systems comply with the GM IT statement of technical direction, and partner with development and support teams to maintain uptime, reliability, security, and operational readiness.
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 Technical Lead role is to support seat structures EGM and a team of about 10 DREs. Focus will be on providing technical leadership, advancement, and optimization of the Structure CCC and CMS structure portfolio.
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
]]>Work Arrangement: This role is categorized as hybrid on night shift (8pm to 5am) . 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
The HR Services Call Handling Analyst is responsible for managing and resolving People Services cases received via calls and emails from various business units. This role serves as a key point of contact for HR Representatives, Employees, and People Leaders, ensuring timely and accurate resolution of HR-related inquiries while maintaining high service quality and compliance with established policies and procedures.
What You'll Do
Your Skills & Abilities (Required Qualifications)
What Will Give You A Competitive Edge (Preferred Qualifications)
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
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 our office in Markham, ON three times per week, at minimum.
About the Team:
The Software Quality Automation team enables safe, high-quality automotive software delivery through providing infrastructure pieces for continuous integration and delivery, automated testing, quality gates, behavior-driven development tooling, software visualization, and coverage analysis.
We are a collaborative and innovative full stack DevOps tools team focused on building high-quality tools and platforms that empower developers, testers, and system engineers across the organization. Our work sits at the intersection of software quality assurance, DevOps, and tools development—from designing internal web applications and automation frameworks to creating visualization platforms that simplify complex system interactions.
Hybrid Work
This position operates on a hybrid work model, requiring the successful candidate to be onsite a minimum of three times per week
Role Overview:
As a Senior Software Quality Automation Developer, you will Lead the design and development of internal platforms, tools and automation frameworks that support engineering teams across the organization. You will work on full-stack solutions, from backend services and databases to frontend visualizations — while ensuring quality through test automation, CI/CD integration, and performance monitoring within the organization.
You will collaborate with developers, QA testers, System Engineers and DevOps specialists to build tools that improve workflows, increase visibility into complex systems, and drive consistency across platforms. This role requires a strong foundation in software quality practices, automation, software development, and cloud-based development environments, along with curiosity and initiative to learn and grow in both tools development and DevOps practices.
Key Responsibilities
Lead the Design and development of internal full stack tools and frameworks that enhance CI/CD pipelines and improve test automation workflows.
Build and maintain full-stack applications that support requirement owners, developers and QA teams in validating software quality and accelerating delivery.
Create solutions that integrate with version control systems, build pipelines, and automated testing frameworks to streamline engineering processes.
Collaborate with developers, DevOps engineers, and QA teams to embed automation, performance monitoring, and IT compliance checks into the software delivery lifecycle.
Required Qualifications
Bachelor’s or Master’s degree in Computer Science, Software Engineering, or related field.
5+ years of experience in DevOps, Software Development, Quality Assurance, tools development, web application development
Specialized in mainstream computing languages such as Python or C++
Familiarity with data structures and algorithms
Experienced in frontend development (HTML, React, JavaScript/TypeScript, CSS frameworks) and/or backend development (Node.js, Express, Flask, GraphQL).
Familiarity with databases (MongoDB, SQL/NoSQL, Postgres, Databricks) and an understanding of how data flows between systems.
Familiarity with test frameworks such as Robot, Unittest, Selenium, PyTest, CppUTest etc.
Strong problem-solving mindset, eagerness to learn, and ability to collaborate effectively with teammates.
Strong oral and written communication skills.
Ability to manage time, meet deadlines, and work independently.
Legal authorization to work in Canada and ability to travel to the US.
Valid Canadian driver’s license.
Preferred Qualifications
Experience with cloud platforms (Azure, AWS, GCP) and containerized environments (Docker, Kubernetes).
Experience of working with AI solutions and LLMs (RAG, prompt engineering, finetuning, etc.)
Experience in automotive software development or embedded systems.
High level of interpersonal skills for effective collaboration in a geographically dispersed team.
Exposure to BDD frameworks such as Behave, Cucumber, and similar tools, with an understanding of the BDD mindset.
Experience of working on GitHub Actions Workflow, VS code extension development
Experience with CarSim, dSPACE/Control Desk, or similar HIL tools.
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:
As a valued Intern in the Mechanics, Materials and Process Research Lab at General Motors Research and Development, you will innovate in magnetic materials for next-generation vehicle and manufacturing applications. You will propose new research directions, establish technical research plans, and lead collaborative studies spanning magnetic materials discovery, computational modeling, processing, characterization, and validation.
You will generate new insights into the relationships among composition, crystal structure, microstructure, magnetic behavior, thermal stability, manufacturability, and system performance. Your work will guide experimental efforts, accelerate materials down-selection, and help translate research results into practical solutions for motors, sensors, actuators, power systems, and other GM applications. You will document and communicate results through high-quality technical reports, external publications, presentations, and records of invention.
What You’ll Do:
• Plan and execute collaborative research in magnetic materials, generating new knowledge and enabling innovative materials solutions.
• Apply physics-based modeling, simulation, and data-driven approaches to magnetic-materials discovery, design, and performance prediction.
• Investigate structure–property relationships involving magnetization, coercivity, remanence, permeability, loss, temperature dependence, phase stability, and degradation.
• Partner closely with experimental researchers to guide synthesis and processing, interpret characterization data, and accelerate materials down-selection.
• Evaluate magnetic materials and material systems for applications including electric machines, sensors, actuators, power electronics, and manufacturing processes.
• Connect computational predictions with experimental validation using appropriate magnetic, structural, thermal, electrical, and mechanical measurements.
• Drive internal and external collaborations with GM engineering teams, universities, national laboratories, suppliers, and research partners.
• Maintain awareness of the state of the art in magnetic materials, computational materials science, materials characterization, and related disciplines.
• Prepare timely, high-quality technical reports, presentations, publications, and invention disclosures to communicate research outcomes.
• Generate intellectual property to protect new inventions and research results.
• Assist and mentor other employees in accomplishing project and research goals.
Required Qualifications:
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., 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 minimum [or other frequency dictated by the business].
The position is subject to export control restrictions and requires the successful candidate to be a U.S. Person (U.S. citizen, U.S. permanent resident, asylee or refugee).
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.
]]>Join General Motors Research & Development as a System Safety Intern. You will contribute research and thought leadership in system safety, safety assurance, and evidence-based decision-making across current and emerging technology areas.
Conduct research and work on the development, assessment, and continuous improvement of system safety analyses for complex products and safety-critical systems. As part of the system safety case development, evaluate safety arguments, evidence strategies, and sufficiency criteria to support safe technology development and align with regulatory expectations, industry best practices, and enterprise safety objectives.
GM R&D is seeking a System Safety Intern to work on research, assessment, and methodological advancement in system safety and safety assurance. You will perform safety analyses, develop and improve safety cases, define claims and sufficiency criteria with domain experts, integrate evidence across disciplines, and ensure alignment with product evolution, regulatory expectations, and industry best practices. The role works across engineering, research, AI/ML, systems engineering, functional safety, cybersecurity, validation, product safety, legal, regulatory, and leadership teams to strengthen traceability, evidence quality, and safety decisions.
What You’ll Do:
Required Qualifications:
Preferred Qualifications:
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 obtain a security clearance at that level.
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 minimum [or other frequency dictated by the business].
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.
]]>As a valued Physical Metallurgist in the Mechanics, Materials and Process Research Lab at General Motors Research and Development, you will innovate in steel metallurgy for next-generation vehicle and manufacturing applications. You will propose new research directions, establish technical research plans, and lead collaborative studies spanning alloy design, thermo-mechanical processing, heat treatment, microstructure development, characterization, and performance validation.
You will generate new insights into the relationships among steel composition, processing history, phase transformations, microstructure, mechanical properties, durability, joining behavior, formability, and manufacturability. Your work will guide experimental efforts, accelerate materials down-selection, and help translate metallurgical research into practical solutions for vehicle structures, closures, chassis systems, safety components, and manufacturing processes. You will document and communicate results through high-quality technical reports, external publications, presentations, and records of invention.
What You’ll Do:
Required Qualifications:
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., H1-B, OPT, STEM OPT, CPT, TN, J-1, etc).
The position is subject to export control restrictions and requires the successful candidate to be a U.S. Person (U.S. citizen, U.S. permanent resident, asylee or refugee).
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 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.
]]>As a valued Researcher in the Mechanics, Materials, and Process Research Lab at General Motors Research and Development, you will advance computational materials science at continuum length scales to accelerate the discovery, design, and deployment of materials for next-generation vehicle and manufacturing applications. You will propose new research directions, establish technical research plans, and lead collaborative studies that connect material composition, microstructure, processing, performance, and engineering requirements.
You will develop and apply continuum-scale models, simulation workflows, and data-driven methods to generate new insights into materials behavior across relevant spatial and temporal scales. Your work will guide experimental research, enable efficient materials down-selection, and help translate computational discoveries into practical materials and manufacturing solutions. You will document and communicate results through high-quality technical reports, external publications, presentations, software or workflow documentation, and records of invention.
The Team:
This position supports the development of advanced materials and manufacturing technologies for future GM products and processes. The researcher will work at the intersection of continuum-scale simulation, materials discovery, experimental validation, and application-focused engineering.
What You’ll Do:
Required Qualifications:
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., H1-B, OPT, STEM OPT, CPT, TN, J-1, etc).
The position is subject to export control restrictions and requires the successful candidate to be a U.S. Person (U.S. citizen, U.S. permanent resident, asylee or refugee).
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 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.
]]> The Vehicle Defense Research group within the Safety, Engineering and Defense Research Lab seeks an experienced and innovative research scientist to assist conduct research and guide a team of Defense Research scientists and engineers. You will lead and provide Defense subject matter expertise to research planning and execution across defense‑focused modeling and simulation domains, including vehicle performance, force-on-force, autonomous systems, human-machine-interaction, advanced powertrain and electrification.
You will drive innovation and research impact across key technical areas and support the Defense Research Program, covering modeling and simulation, safety, analysis, and user experience development. Your expertise in defense, Soldier systems, simulation, experimentation, vehicles, and engineering will shape future GM capabilities.
This role centers on applied research and the development of new technologies that enhance GM’s product portfolio in the federal and Defense sectors. As a defense researcher, you will lead research, collaborate with internal and external stakeholders to identify and transition research outcomes into vehicle, system, and software applications for Defense while protecting intellectual property. You will also enhance partnerships with universities, research institutes, startups, federal agencies, Department of War agencies, and advanced technology labs to expand GM’s research capability and influence for Defense specific applications and projects.
The Team:
Join General Motors Research & Development as a Defense Program Researcher. You will conduct research, provide modeling and simulation subject matter expertise, and thought leadership in Defense and military systems. You will use evidence-based decision-making across current and emerging technology areas that relate to Defense.
What You’ll Do:
Required Qualifications:
Preferred Qualifications):
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 obtain a security clearance at that level.
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 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.
]]>The role consolidates cross-functional accountability for complex integration work at our Secondary Tryout and homeline Stamping Facilities, while enabling consistent support across programs and sites through CI / Die Sustainment.
- You will participate in the selection of new employees
- Train, develop and evaluate employees
- You will establish overall group objectives inline with organizational KPI's and initiatives
- Evaluate processes and procedures within area for continued development and potential digitization
- Establish and oversee required tooling activities or review and evaluate proposals for existing and new manufacturing processes
- You will develop long-range plans for improvements of processes and manufacturing activities
- Nearly constant contact with others outside the work group
- You will provide technical assistance to maintain manufacturing performance
- Maintain safety and good housekeeping standards
- You will also maintain Corporate and unit management control systems
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
]]>At General Motors, we are redefining mobility through human-centered design and advanced engineering. Our teams create vehicles and experiences that go beyond transportation—delivering safety, intelligence, and connectivity at scale.
About the Role
General Motors is seeking a highly skilled CAD Developer with strong coding skills to advance Generative AI activities surrounding CAD development, criteria compliance, and rapid response to portfolio and program changes. The ideal candidate combines strong Siemens NX designcenter and virtual vehicle integration capabilities with hands-on CAD automation and NXOpen development skills. In this role, you will create tools capable of releasing high-quality, manufacturable math designs while also developing robust modeling tools, workflows, and data integrations that improve design productivity and digital engineering execution.
The ideal candidate is a detail-oriented developer who understands automotive product development, robust parametric modeling techniques, manufacturability, and downstream engineering needs, and who can translate design and manufacturing requirements into reliable automation solutions.
Key Responsibilities:
NX Design and Vehicle Integration
CAD Automation Development
Required Qualifications
Preferred Qualifications
Success in This Role
Success will be demonstrated through accurate and timely releases, effective integration of component and subsystem designs, and delivery of automation solutions that are usable, maintainable, and aligned with engineering and manufacturing needs. The role requires a balance of hands-on design judgment, software development discipline, and continuous collaboration with technical and business stakeholders.
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
]]>Responsible for specifying and balancing requirements, execution and evaluation of designs, analysis, development, testing and validation of major engineering projects where creativity and initiative are involved. Position also requires the ability to work with independent judgment with minimal input from supervisor. The broad scope of responsibilities covers one or more of the following: thermal cold plates, metal and plastic cooling lines and key thermal components for Drive Units and Internal Combustion Engines. Exercise technical direction and collaboration over other engineers or engineering support personnel to meet specific engineering objectives. Capable of managing projects with high degree of difficulty. Actively engage both internal and supplier teams in issue resolution. Work cohesively with engineering peers responsible for similar components for other applications.
Preferred Skills and Experience
GM Medical 소속 Site Medical Leader로서 부평 사업장 부속의원의 진료 및 운영 전반을 책임집니다. 또한 Global Medical Team 및 Korea Medical Team의 일원으로서 GM 한국 사업장의 의료 및 산업보건 관련 업무를 수행합니다.
What You'll Do -
Your Skills & Abilities (Required Qualifications) -
How We Hire -
※ 우편, 이메일 및 방문 접수는 받지 않습니다.
The Senior Data Scientist will develop and operationalize data science solutions that identify emerging vehicle, software, and product-quality issues before they become larger customer or launch risks. This role partners closely with Product Quality, Warranty, Vehicle Engineering, software teams, and other subject matter experts to translate complex operational questions into trustworthy metrics, detection algorithms, dashboards, and alerting workflows.
The successful candidate will combine strong statistical and analytical judgment with the ability to build production-ready data products. They will work across the full lifecycle: understanding the customer problem, validating the data, developing and testing an analytical approach, deploying the solution, monitoring its performance, and continuously improving adoption and scalability.
Success will be evaluated through a combination of technical quality, customer impact, and organizational contribution, including:
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
]]>The Role
The Connected Ops Support and Analytics team protects and improves the connected-vehicle experience across vehicle and digital services. As a Technical Operations Engineer, you’ll support Customer identity workflows, digital services, and Connected services performance health. You’ll investigate customer-impacting issues, turn data into actionable insights, and partner with engineering, application, and contact-center teams to improve reliability and customer outcomes. This technical individual contributor role is an opportunity to connect system behavior to customer experience and deliver practical improvements across the connected-vehicle lifecycle.
What You’ll Do
Your Skills & Abilities (Required Qualifications)
What Can Give You a Competitive Advantage (Preferred Qualifications)
This position leads the business strategy, delivery, and continuous improvement of dealer-facing digital experiences and applications that simplify how GM dealers access information, complete tasks, and do business with GM.
Retail Center will be the initial assignment for this position. The broader role supports GM’s overall dealer experience portfolio, which may include applications and capabilities spanning vehicle inventory, retail sales workflows, dealer communications, customer and vehicle context, incentives and offers, dealer operations, and other areas that improve the dealer experience. The position translates dealer and business needs into clear product direction, requirements, priorities, and operating processes, with the flexibility to move across applications as business needs evolve.
This position works across dealers, product and design teams, IT and engineering, vehicle inventory and pricing teams, data and integration teams, customer identity and CRM partners, Dealer Service Providers (DSPs), and other third-party vendors.
The successful candidate combines strong dealer and retail judgment with product, analytical, operational, and technical aptitude. The position requires the ability to lead cross-functional work, manage competing priorities, communicate clearly with stakeholders, and continuously improve dealer and customer experiences in a complex and evolving environment.
What You’ll Do
Your Skills & Abilities (Required Qualifications)
The HR Solutions Enablement team builds effective, scalable, and cohesive HR solutions that minimize redundancy and deliver seamless data and insights for a better end-user experience.
You’ll join a team that implements Workday and integrated third-party HR technology solutions to streamline operations and reduce friction. The team also provides Tier 2 support to business users. As the Sr. HR Technology Analyst for Hourly Compensation, you’ll design, configure, and maintain complex compensation processes across multiple countries and facilities, each with distinct requirements. This role combines consultative problem-solving, end-to-end execution, and the ability to influence without formal authority to deliver high-impact HR solutions.
Success in this role requires strong collaboration, consultation, and influence skills. You’ll partner with teams across the business to understand their challenges and implement optimal technology solutions—for example, translating hourly wage structures, step-progression rules, premiums, and allowances into robust, scalable Workday solutions that are accurate, compliant, and auditable.
The ideal candidate brings extensive hands-on experience with Workday Compensation configuration, working knowledge of adjacent Workday modules, and a passion for continuous improvement and solution design. You’ll serve as a Workday subject-matter expert and solution designer who improves system effectiveness, user experience, and operational scalability. Familiarity with emerging AI-powered tools and agents is valued, particularly where they can improve the end-user experience, Workday configurations and business processes.
Flexibility is important, as this role may occasionally require work outside standard hours to support global stakeholders and critical 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 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 to $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:
• 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 .
Your Skills and Abilities (Required Qualifications)
Interested individuals must meet the following minimum qualifications:
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 ($38.90-$45.38 ) or Journeyperson rate of ($46.31). 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.
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.
Your Skills & Abilities (Required Qualifications)
What Will Give You a Competitive Edge (Preferred Qualifications)
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.)”
]]>
What You’ll Do
Your Skills & Abilities (Required Qualifications)
What Can Give You a Competitive Advantage (Preferred Qualifications )
#LI-SB3
]]>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.)
To help facilitate administration of relocation benefits if you are selected, please apply using the permanent address you would move from.
Locations:
Warren, Michigan
About the Team:
The Production Mapping organization plays a pivotal role in the software development of mapping solutions to support AV/ADAS at General Motors. This team is responsible for delivering integrated and tested software for various GM features, including Super Cruise.
About The Role:
In this role, you will help the Map Crowdsourcing and Enhancements team solve complex mapping problems using machine learning, advanced algorithms, large-scale data processing, and cloud computing. You will contribute across the development lifecycle—from exploring vehicle data and developing models or algorithms to building scalable data workflows, deploying solutions, and evaluating their performance. Areas of focus may include machine learning, geospatial analytics, distributed data processing, workflow automation, and cloud-based software development.
What You’ll Do:
Required Qualifications:
Preferred Qualifications:
Compensation:
What you’ll get from us (Benefits):
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 car technology, join us.
The Role
The AV Operations Coordinator (tactical response team) is a frontline operations leader responsible for helping plan, launch, and stabilize manual and future supervised AV test operations across multiple markets. This role combines hands on in field operations, operator training and onboarding, and cross functional coordination with engineering, incident response, and vendor partners to safely deliver high quality data and reliable operations at scale.
What You’ll Do
Operational Procedures & Execution
Continuous Improvement
Cross‑Functional Collaboration
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 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.
]]>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 Warren, MI three times per week, at minimum.
The Role
The Thermal Systems Simulation Integration Engineer plays a critical role in advancing the transition to virtual engineering by leading the integration of full-vehicle, cross-functional co-simulation models with a focus on Thermal Systems and related domains. This role is responsible for enabling high-fidelity, system-level simulation capabilities that support faster, data-driven engineering decisions.
This is a highly collaborative position, requiring partnership across Vehicle Design, Development & Validation (VDDV), Vehicle Performance, Validation, SMT, and VMEC teams to ensure seamless integration and alignment of simulation tools and methodologies.
As part of an emerging and rapidly evolving space, success in this role requires a passion for innovation, continuous improvement, and the ability to navigate and influence across complex technical landscapes.
What You’ll Do
Lead delivery of integrated co-simulation packages to enable virtual thermal systems design, development, and validation
Lead resolution of program issues by rallying co-simulation partners to meet the demands of the problem
Advocate for adoption of virtual methods for vehicle design, development, and validation
Act as a single point of contact for Co-simulation users for thermal systems to resolve concerns on usage
Forecast and plan needs and get support for required resources
Define strategic opportunities for innovating processes and methods
Align with software releases and calibration milestones to ensure the virtual vehicle co-simulation package is up to date
Ensure Cosim packages meet standards as defined by the SIE governance team
Represent the needs of thermal systems among SIE peers from other disciplines
What You’ll Need (Required Qualifications)
BS Mechanical Engineering, Electrical Engineering, Software Engineering, Computer Science, or related field.
5+ years of relevant experience with 1D and 3D thermal systems plant models, including virtual controllers, with demonstrated ability to align plant, control strategies, and system-level integration.
Familiarity with system tools or controls integration CAE tools such as GT Power, AMESIM, Carsim, Carmarker, MATLAB/Simulink or other similar CAE tools.
Proven ability to work in teams, balancing technical theory with practical limitations.
Strong oral and written communication skills.
What Will Give You A Competitive Edge (Preferred Qualifications)
MS Mechanical Engineering, Electrical Engineering, Software Engineering, Computer Science, or related field.
Familiarity with version control systems (VCS) tools like Git.
Familiarity with simulation data management (SDM) systems like Teamcenter.
Familiarity with CFD tools such as STAR-CCM+, FLUENT, SIMERICS etc.
Ability to characterize thermal systems using 3D tools such as CFD and creating and implementing 1D plant models of the underlying components and subsystems.
Practical automotive experience - Building, restoring, modifying; Performance driving schools.
Participation in automotive teams - Mini-Baja, Formula SAE, PACE, Eco-Car, etc.
#LI-LP2
]]>Perform General Ledger and monthly close activities, ensuring accuracy, timeliness, and compliance with US GAAP, Argentine accounting standards, GM policies, and internal controls.
Prepare journal entries, accruals, reclassifications, account reconciliations, variance analyses, and supporting working papers.
Identify and analyze accounting risks, unusual balances, and complex transactions, applying sound technical judgment and escalating significant matters when required.
Prepare the conversion of financial information from local currency to the USD functional currency and analyze foreign exchange impacts.
Prepare statutory trial balances, US GAAP-to-Local GAAP adjustments, inflation accounting calculations, and complete statutory financial statements, including notes and supporting schedules.
Prepare statutory and government reports and support filings with IGJ and other applicable authorities.
Coordinate external audit requirements and ensure timely resolution of audit requests and accounting matters.
Execute internal controls and SOX-related procedures, maintaining complete and review-ready documentation.
Partner with Finance, shared service centers, and regional teams to obtain inputs and resolve accounting and reporting matters.
Support process improvement and automation initiatives using data-analysis tools.
Provides direction to a team of individuals with similar functional responsibility
Research and interpret new accounting standards and brainstorm how each applies to GM as well as comply with external 10-Q/10-K reporting requirements
Preferred
As a CFD Surface Design Engineer at GM Motorsports, you will lead the development, maintenance, and automation of complex CAD assemblies that form the foundation of our high-fidelity aerodynamic simulations. Leveraging advanced CAD and scripting tools, you will ensure robust, parametric, and simulation-ready geometry to support rapid design iteration within GM’s Aerodynamics Group.
In this role, you will work closely with CFD engineers to enable efficient mesh generation, reduce model preparation time, and improve consistency across full-vehicle and subsystem CFD studies. By integrating automated processes and scalable design practices, you will enhance the reliability and throughput of simulation-driven development.
Collaboration is central to success in this position. You will partner with cross-functional teams across GM Motorsports and key external partners to align CAD strategies to advance CFD simulations, wind tunnel testing, and on-track implementation. Your contributions will directly impact the speed and accuracy of design decisions, helping translate design ideas into high fidelity CAD to increase vehicle performance in a fast-paced racing environment.
This position may be filled with a CFD Surface Design Engineer or Senior CFD Surface Design Engineer. The level for this role will be determined based on the selected candidate’s qualifications, skills, and experience.
What You’ll Do:
What You’ll Need (Required Qualifications): CFD Surface Design Engineer
What You’ll Need (Required Qualifications): Senior CFD Surface Design
What Will Give you a Competitive Edge (Preferred Qualifications):
Why this role matters. The role helps GM make earlier, higher-confidence decisions on piston and cranktrain hardware by combining structural CAE, engineering judgment, risk-based evaluation, and reusable capability development. The successful candidate will contribute to production program support while improving standard work, automation, and the team’s ability to detect and reduce design risk.
• Lead piston structural and durability evaluations from problem definition through recommendation, including load definition, model setup, analysis execution, post-processing, interpretation, and technical reporting.
• Assess piston and related component performance across thermal, mechanical, inertia, pressure, bore-distortion, clearance, and other relevant operating conditions.
• Use appropriate CAE fidelity for the engineering decision: fast screening methods for broad option spaces and higher-fidelity models for critical risk retirement and design release decisions.
• Diagnose non-routine issues, perform sensitivity and variation studies, identify likely failure mechanisms, and recommend practical design or analysis improvements.
• Connect analysis to requirements, DFMEA failure modes, detection/prevention methods, and qualification evidence so that virtual work directly supports risk reduction.
• Prepare concise, traceable analysis reports and decision packages for program teams, DREs, suppliers, leadership reviews, PPDR/PRTS support, and warranty or field investigations as needed.
• Maintain and improve piston-analysis standard work, procedures, templates, macros, and reusable data practices; identify opportunities to improve cycle time, physics, repeatability, and first-time quality.
• Develop automation and capability improvements using appropriate tools such as Python, MATLAB, Excel/VBA, or comparable scripting and post-processing methods.
• Support benchmarking and method development, including comparison of alternative tools, model fidelity, correlation evidence, and emerging virtual-engineering practices.
• Share knowledge and coach developing engineers or technical partners on analysis methods, standard work, interpretation, and quality expectations.
• Collaborate across piston, rings, connecting-rod, cranktrain, lubrication/tribology, materials, testing, design, and program organizations to deliver customer-focused outcomes.
• Bachelor’s degree in Mechanical Engineering, Automotive Engineering, Aerospace Engineering, Materials Engineering, or a related technical discipline; equivalent relevant experience may be considered.
• Professional experience applying CAE, FEA, or comparable engineering simulation methods to structural, durability, thermal-structural, or related mechanical problems.
• Demonstrated ability to work independently with limited guidance, exercise sound engineering judgment, and determine an appropriate course of action within established procedures and practices.
• Experience defining analysis inputs and boundary conditions, evaluating model quality, interpreting results, and communicating limitations, uncertainty, and recommendations.
• Ability to identify and resolve non-routine technical problems and manage moderate-scope work through completion.
• Strong written and verbal communication skills, including the ability to explain technical conclusions to both engineering specialists and broader program audiences.
• Ability to collaborate effectively with cross-functional teams, suppliers, and customers while maintaining accountability for quality, timing, and follow-through.
• Master’s or Ph.D. degree in Mechanical Engineering, Automotive Engineering, Aerospace Engineering, Materials Engineering, or a related technical discipline.
• Experience with piston structures, piston pins, connecting rods, cranktrain components, engine durability, or related powertrain hardware.
• Experience with tools such as Abaqus, HyperMesh, FLARE, AVL EXCITE, or comparable pre-processing, solving, and post-processing environments.
• Knowledge of piston failure modes and performance topics such as safety factors, thermal loading, bore distortion, skirt contact/scuffing, land clearance, piston noise, pin behavior, or fatigue.
• Experience with DFMEA, risk-based evaluation planning, design variation/sensitivity studies, qualification evidence, or virtual–physical correlation.
• Experience developing or maintaining engineering standard work, analysis procedures, Excel/VBA tools, Python/MATLAB scripts, automation, or reusable engineering workflows.
• Experience working with production programs, supplier technical issues, warranty/field investigations, or design changes under timing pressure.
• Experience applying artificial intelligence or machine learning to engineering workflows—such as surrogate modeling, reduced-order modeling, design-space exploration, optimization, or predictive analytics—and using design synthesis methods to generate, evaluate, and down-select component or system concepts.
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 MAY be eligible for relocation benefits.
]]>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):
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.
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.
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
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
]]>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
]]>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
]]>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.
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.
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:
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
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 support 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 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. 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: $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 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 Principal AV Behavior Safety Engineering Lead, 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 Principal engineer with extensive experience in the end‑to‑end development lifecycle of autonomous vehicle behaviors, from ADS Architecture, ODD and behavior definition through simulation, closed‑course, and public‑road validation.
If you’re excited to lead in autonomous driving safety, we’d love to hear from you!
You will:
Lead Technically
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 safety strategy for next generation ADS architectures
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
Your Skills & Abilities (Required Qualifications)
Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field
8+ years of experience in machine learning, engineering, data science, or a related field
8+ 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
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.
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
The Role
You will be part of a team that drives systematic and data-driven improvements to the Autonomous Vehicle software by designing, implementing, and maintaining robust processes for evaluation and validation of our AVs. To achieve this objective, we are looking for a highly motivated individual with excellent analytical skills to own end to end execution, methodology improvements and insight articulation/communication to ensure high-quality evaluation and release of our End-to-End ML Stack.
In this position, you will work closely with AI/ML Engineers, Simulation Engineers, Systems Engineers, Product Managers to identify, analyze, monitor and prioritize the most important signals to assess performance of our ML based stack leveraging simulation and on-road data and building scalable processes to evaluate compliance to our KPIs.
If you're interested in having a major impact on accelerating AV Behavioral Evaluation assessment on ML-driven autonomy through creative problem solving, let's chat!
What you’ll be doing:
Define an AV evaluation process that spans from initial conception through implementation, ensuring it is applied to the release of our end-to-end (E2E) ML stack.
Provide hands-on implementation of infrastructure solutions to assess AV performance from ELT tooling at GM from simulation and on-road data.
Proactively scope and identify metrics needed to improve our evaluation workflows and devise paths for implementation if not available.
Contribute to automated triage strategies for AV deficiencies in an End-to-End stack architecture and present findings to relevant stakeholders.
Articulate insights, summaries and recommendations to AV developers and executives based on continuous analysis of AV performance.
Define and maintain scalable processes to identify, monitor and improve evaluation KPIs as definition of success of evaluation initiatives.
Map and articulate link between continuous improvement processes with the product safety case and compliance with safety standards.
What you must have:
Strong Python and SQL programming
Strong skills in high quality SW Development using AI tools
Prior knowledge and implementation of ELT pipelines for product quality analysis
Experience with GitHub and Jira or equivalent tools
Strong problem-solving skills - End to End ownership from problem definition to deriving the desired outcome
Proven track record of analytical and systems engineering skills while dealing with complex systems and ambiguous AI functions
Proven track record of root cause analysis in complex SW/HW systems
Familiarity with analytical methods for driving behavioral analysis
Ability to creatively problem solve with limited supervision
Motivated by a fast paced, challenging environment with high expectations and quick turnarounds
Ability to learn quickly, starting with little information and quickly becoming an expert in your domain
Strong cross functional communication and collaboration skills
Proven experience at communicating data driven decisions to leadership
Passionate about robotics/AI complexities
BS , MS or PhD in Engineering or related discipline or equivalent combination education and experience
Bonus Points!
Experience with AVs and/or Production grade robotics developments and AV/ADAS systems
Experience with statistical methods for product evaluation and risk assessment
Experience with developing data driven metrics
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
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.
The Role
We are seeking a highly skilled Senior Software Engineer to design, build, and evolve modern, cloud-native enterprise applications that power critical customer and dealer experiences. In this role, you will architect and implement scalable microservices and secure APIs using Java, Spring Boot, and Microsoft Azure, partnering closely with product managers, architects, and cross-functional teams.
You will play a key role in shaping technical direction, improving engineering practices, and delivering high-quality solutions in a fast-paced Agile environment. This role is highly hands-on while also providing technical leadership, mentoring team members, and championing best practices in a microservices-based, cloud-native ecosystem.
What You’ll Do
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.
]]>REQUIREMENTS: Bachelor's degree in Computer Engineering, Computer Science, Electrical Engineering, 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: Embedded software development; AUTOSAR MCAL configuration and Complex Driver development; Microcontrollers including ARM, PowerPC, and Renesas; Schematics and basic electrical circuits; Root cause analysis involving integrated basic and application software; and Debugging tools including Lauterbach, ETAS INCA, and CANalyzer.
#LI-DNI
]]>About the Team
Compute & Connectivity Hardware (CCH) is part of GM’s Vehicle Software & Electronics Engineering (VSEE) organization within Software & Services Engineering. The team develops the physical hardware foundation for GM’s software-defined vehicles, including compute, connectivity, networking, displays, and other electronic platforms that enable in-vehicle software, infotainment, ADAS, vehicle controls, and connected experiences.
CCH’s work spans architecture, requirements, hardware and electronics design, embedded hardware, systems integration, validation, launch, and in-market performance. Our engineers collaborate across software, systems, controls, cybersecurity, functional safety, vehicle engineering, suppliers, and manufacturing to develop reliable, production-ready hardware for GM’s vehicle portfolio.
We are seeking a Senior Display Engineer, Optics & Cover Glass to join our Advanced Display Technology team and drive New Technology Introduction (NTI) for display optics, cover lens materials, coatings, and optical bonding solutions. In this role, you will evaluate, develop, and mature emerging technologies that enhance display performance, durability, efficiency, and user experience across future automotive display systems.
Working closely with display manufacturers, optical material suppliers, and cross-functional engineering teams, you will assess new technologies, establish validation methodologies, lead proof-of-concept activities, and advance solutions from early-stage development through technology readiness. Your work will help build a robust technology pipeline for future instrument clusters, center displays, and passenger infotainment systems.
As a Senior Display Engineer, Optics & Cover Glass, you will be responsible for exploring and developing advanced optical and cover lens technologies for next-generation automotive displays.
The role focuses on optical films and light management systems, including brightness enhancement films (BEF/DBEF), diffuser and prism films, LCD and OLED polarizers, anti-reflective (AR), anti-glare (AG), and anti-fingerprint (AF) coatings, chemically strengthened glass, polymer cover lens materials, and optical bonding technologies.
A key responsibility is establishing the optical characterization and benchmarking methodologies used to evaluate display performance, cover glass solutions, coatings, and bonded display stacks throughout the technology development lifecycle.
You will partner closely with display panel suppliers, optical material suppliers, and internal teams to evaluate emerging technologies, validate performance against automotive requirements, reduce technical risk, and mature solutions for future vehicle programs. Once technologies achieve the appropriate level of readiness, you will support their transfer into sourcing and production organizations.
Why Join Us?
This is an opportunity to help define the future of vehicle technology. You'll collaborate with experts across hardware, software, systems, controls, and integration engineering to solve difficult technical problems at scale. Whether you're driving architecture decisions, developing cutting-edge hardware, or validating complex systems, your work will directly influence the capabilities of millions of vehicles on the road.
If you're passionate about designing high-performance hardware, tackling multidisciplinary engineering challenges, and seeing your innovations come to life in production vehicles, we'd love to have you on the team.
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
]]>About Us
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 foundational tools used by 1,500 engineers and will evolve the offerings depending on business needs. They will be expected to identify high ROI investments with minimal guidance.
The Team
As a part of AV Developer Productivity, the AV Developer Experience team 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.
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
Developer Tools expertise: Deep understanding of software engineering and/or machine learning engineering workflows and a track record of delivering solutions that improved them
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
What Will Give You a Competitive Edge (Preferred Qualifications)
Experience working with GCP, AWS, or Azure
Familiarity with Kubernetes, Docker, Istio, Terraform
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.
This Job may be eligible for relocation benefits.
#LI-SA2
]]>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
REQUIREMENTS: Bachelor's degree in Metallurgical Engineering, Mechanical Engineering, Material Engineering, or related field of study and 5 years of experience as a Tool and Die Integration Engineer, CAD Engineer, or related role. Five years of experience with: Project Management methodologies including cost, timing, scope, quality, people management, integration, communication, risk management, procurement, and stakeholders management; GDVP, Product Engineer Release Levels, Die Operation Lineup (DOL), Die Machining File (DMF), Formability Analysis, V-Events, and T-Events; Commercial software packages including NX 11.0.2.7 (ASMS 1592), Teamcenter 11 (ASMS 1168), MS Office, Teamcenter Visualization Mockup 11.2 (ASMS 6212), GOM, AutoForm, and PamStamp); and Die Engineering Process, Formability, Die Design, Transfer and Conventional Press Lines Configuration, Patterns, Foundry, Machining, Die Construction Practices, and Try-out and T-Events.
#LI-DNI
]]>This role is categorized as hybrid. This means the successful candidate is expected to report tooffices in Austin, TX, Warren, MI or Seattle, WA three times per week, at minimum.
The Role
We are seeking entry-level Software Engineers to join teams across GM’s Data Software Engineering and Cloud organizations. In these roles, you will contribute to the development, deployment, and support of reliable, scalable data platforms and cloud services that enable business-critical products, applications, analytics, and engineering workflows. You will work alongside experienced software, data, and cloud engineers to build services and
tools for data ingestion, processing, storage, serving, and platform automation. This is an opportunity to grow your software-engineering skills while gaining hands-on experience with distributed systems, cloud infrastructure, and large-scale data platforms.
What You’ll Do
• Contribute to the development, deployment, and improvement of data and cloud services.
• Learn and apply operational-excellence practices, including service-level objectives and indicators, monitoring, alerting, troubleshooting, and incident response.
• Collaborate with software, data, ML, and cloud engineers to understand user needs, translate requirements into technical solutions, and help build self-service capabilities.
• Implement features and technical projects from design through testing, deployment, and support, with guidance from senior team members.
• Participate actively in sprint planning, code reviews, design discussions, documentation, and retrospectives.
• Write maintainable, well-tested code and help improve the reliability, performance, cost efficiency, and usability of team services.
• Develop familiarity with cloud infrastructure, deployment automation, observability, and the full operational lifecycle of production systems.
• Build knowledge of the tools, architectures, and data workflows that support our technology ecosystem.
Your Skills & Abilities
• Bachelor’s degree in Computer Science, Engineering, Mathematics, Physics, or another relevant field; or equivalent real-world experience.
• 0–2 years of software-engineering experience, including internships, co-op experience, academic projects, or equivalent hands-on work.
• Foundational proficiency in at least one programming language such as Java, C++, Go, or Python.
• Understanding of software-engineering fundamentals, including data structures, algorithms, testing, version control, and code review.
• Familiarity with developing or supporting services, applications, or data-processing systems.
• Exposure to at least one major public cloud provider, such as Azure, GCP, or AWS, through coursework, projects, internships, or professional experience.
• Strong problem-solving, communication, collaboration, and learning skills.
• Interest in contributing to reliable, scalable systems and supporting services in a production environment.
What Can Give You a Competitive Advantage
• Familiarity with distributed systems, APIs, microservices, containers, or cloud-native development.
• Exposure to deployment automation, monitoring, logging, metrics, or other
observability practices.
• Academic, internship, or personal-project experience related to autonomous vehicles, robotics, machine learning, or large-scale data platforms.
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 from $84,900 - $130, 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.
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
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):
Bachelor's degree
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.
]]>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)
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:
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.
]]>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:
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
]]>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:
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
]]>Preferred Experience Includes:
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.
]]>Hybrid:
This role is categorized as hybrid. This means the successful candidate is expected to report to Warren, 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:
We are seeking a Senior Electrical Design Automation Engineer to lead the integration, extension, and automation of Siemens Capital and related electrical-engineering toolchains. This role combines electrical architecture expertise with software-development discipline to create plugins, APIs, services, workflows, and AI agents that improve design quality, accelerate release, and maintain traceability from logical connectivity through physical implementation and manufacturing documentation.
A key focus will be converting existing PSDS and electrical-engineering processes into intelligent AI-agent workflows that reduce manual effort, scale engineering expertise, and transform design, problem resolution, validation, and release activities.
The successful candidate will work across electrical engineering, software engineering, manufacturing, PLM, IT, suppliers, and engineering-tool vendors. They will own solutions from requirements and architecture through implementation, validation, deployment, adoption, and support.
What You'll Do:
Capital integration and toolchain ownership
Architect integrations across Siemens Capital Logic, Capital Harness, Capital Topology, Capital Integrator, Capital Platform Designer, and adjacent systems
Define data models, interfaces, mappings, and transformation rules across logical, physical, 3D, PLM, requirements, and manufacturing representations
Evaluate Capital capabilities, identify gaps, and recommend configuration, customization, plugin, or service-based solutions
Establish reusable integration patterns, coding standards, versioning practices, and deployment methods
Partner with vendors and internal platform teams to resolve issues and influence product roadmaps
Plugin, API, and automation development
Design, develop, test, document, and support plugins, APIs, connectors, scripts, and services for electrical design workflows
Automate model creation, connectivity checks, design-rule validation, drawing generation, bill-of-material extraction, reporting, and release preparation
Build reliable import, export, comparison, and validation pipelines to identify missing data, invalid connectivity, inconsistencies, and release defects
Apply software-engineering practices including source control, code review, automated testing, logging, error handling, and configuration management
Support CI/CD where appropriate for engineering applications and automation services
AI tools for PSDS within VSEE
Develop, deploy, and maintain AI agents and AI-enabled tools for the Power and Signal Distribution Systems (PSDS) organization within VSEE
Convert existing PSDS engineering, design-release, quality, and knowledge-management processes into secure, usable, and maintainable AI workflows
Integrate AI tools with engineering data and systems while preserving data quality, access controls, traceability, and engineering accountability
Electrical engineering and system integration
Apply knowledge of electrical architecture, wiring systems, power and signal distribution, grounding, shielding, connectors, terminals, splices, and communication networks
Maintain traceability from requirements and logical connectivity through physical routing, drawings, bills of material, manufacturing outputs, verification, and change management
Participate in design reviews, root-cause analysis, tool validation, process definition, and release-readiness assessments
Your Skills & Abilities (Required Qualifications):
Bachelor’s degree in Electrical, Computer, Software, Systems, Mechanical, Automotive, or related engineering field, or equivalent experience
5+ years of experience in electrical design, harness engineering, engineering software, design automation, or systems integration
Experience developing software, scripts, plugins, APIs, or automated engineering workflows
Experience with Siemens Capital or a comparable ECAD, MCAD, harness, PLM, or engineering-design platform
Proficiency in Python, C#, C++, Java, JavaScript, VBA, or a comparable language
Experience with JSON, XML, SQL, REST APIs, file-based interfaces, data mapping, or message-based communication
Ability to understand electrical connectivity, engineering models, design constraints, and downstream manufacturing requirements
Ability to lead technical work, communicate across functions, and deliver maintainable solutions
What Will Give You A Competitive Edge (Preferred Qualifications):
Master's degree in Electrical, Computer, Software, Systems, Mechanical, Automotive, or related engineering field, or equivalent experience
8+ years of experience in electrical design, harness engineering, engineering software, design automation, or systems integration
Direct experience with Capital Logic, Capital Harness, Capital Topology, Capital Integrator, or Capital Platform Designer
Experience integrating Capital with CATIA, NX, Creo, Zuken E3, Altium, PLM, requirements, manufacturing, or enterprise data systems
Experience with design-rule checking, harness topology, 2D drawing automation, 3D routing, bill-of-material generation, or configuration management
Experience developing, integrating, validating, or supporting AI/ML tools for engineering, manufacturing, quality, or enterprise workflows
Experience applying AI to PSDS, VSEE, wiring, electrical architecture, problem resolution, engineering knowledge, or design-release processes
Experience with Git, CI/CD, automated testing, containerization, Linux, cloud services, or DevOps practices
Knowledge of vehicle electrical architecture, low-voltage or high-voltage systems, CAN, LIN, Ethernet, diagnostics, EMI/EMC, or signal integrity
Experience with MBSE, requirements traceability, digital-thread concepts, or systems-engineering workflows
Experience working with engineering-tool vendors, suppliers, manufacturing teams, or global development organizations
Core competencies
Electrical engineering and harness-domain expertise
Software architecture and maintainable automation
AI-agent development, integration, validation, and lifecycle management
API and integration design
Model and data consistency
Design-rule validation and quality assurance
Systems thinking, technical problem solving, and cross-functional communication
Technical leadership and mentoring
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 position requires an employee to be onsite 3 days per week but does allow for flexibility between GM sites, understanding that some of that time is required to be in Milford Proving Grounds.
Responsibilities Include:
Basic Qualifications:
Preferred Qualifications:
This role is located at the GM Global Technical Center in Warren, Michigan.
The Enterprise Data Governance Office is seeking an early careers Data Governance Engineer to help expand data literacy, data stewardship growth, governance enablement, and community engagement across General Motors. This entry-level role combines technical learning with business and process support. The Data Governance Engineer will help make governance concepts, learning resources, onboarding steps, and practical guidance easier to understand, find, and apply across technical and business audiences.
Working under the guidance of experienced data governance and data literacy team members, the Data Governance Engineer will support steward onboarding, community growth, training coordination, communications, learning-path development, documentation, reporting, stakeholder follow-up, and measurement. This is an opportunity to gain practical experience in enterprise data governance, data literacy, data stewardship, change enablement, and cross-functional program execution.
The Role
At General Motors, data literacy helps employees understand, question, and responsibly use data and artificial intelligence to make informed decisions. Data stewardship helps ensure that data has clear ownership, useful metadata, appropriate classification, measurable quality, and accountable support across its lifecycle. The Data Governance &
Data Literacy team supports these outcomes through role-based learning, steward onboarding, data transfer documentation/tracking, hands-on workshops, enterprise events, communications, community meetings, reusable job aids, reporting, and governance enablement.
The Data Governance Engineer will contribute to the operating work that turns these activities into a repeatable capability. The role is well suited for a student who enjoys connecting technology, business needs, and practical processes; communicating with different audiences; organizing work; using metrics to understand participation and adoption; and learning how governed data is used across a large enterprise.
What You’ll Do
• Coordinate data literacy events, workshops, office hours, community meetings, and learning campaigns, including calendars, registrations, materials, attendance, and follow-up.
• Help grow the Data Stewardship community by supporting invitations, agendas, discussion topics, feedback collection, recaps, and approved collaboration channels.
• Support Data Steward onboarding, including required learning, Atlan onboarding steps, approved access tracking, cataloging activities, office-hours participation, and follow-up actions.
• Assist with intake and triage of data governance, data literacy, and data transfer documentation; route policy, privacy, access, data-quality, and tool-specific questions to the appropriate subject-matter expert.
• Research and organize content on data governance, metadata, ownership, inbound and outbound data exchange documentation/tracking, stewardship, data quality, responsible data use and analytics.
• Create and maintain plain-language communications and reusable materials, including FAQs, job aids, onboarding checklists, quick-start guides, presentations,
announcements, learning paths, recordings, and documentation.
• Under supervision, help verify approved metadata such as ownership, descriptions, and classifications.
• Maintain metric definitions, source notes, reporting trackers, and simple dashboard quality checks; prepare status updates, dashboard summaries, community recaps, and presentations.
• Coordinate with data stewards, domain representatives, technical teams,
communications partners, learning partners, and governance subject-matter experts while following GM requirements for data protection, privacy, cybersecurity, access, and responsible use of data and artificial intelligence.
• Perform other related duties as assigned.
Your Skills & Abilities
• Currently enrolled in an accredited bachelor’s or master’s degree program in Management Information Systems, Information Systems, Business Analytics, Data Analytics, Computer Information Systems, Business Administration, Computer Science, or a related field.
• Basic understanding of how business processes, information systems, and data support organizational decisions.
• Interest in data governance, data literacy, data stewardship, analytics enablement, responsible artificial intelligence, or related areas.
• Ability to organize information, manage details, follow established processes, and complete assignments on time.
• Strong written, verbal, and visual communication skills, including the ability to explain technical or process topics to non-technical audiences.
• Ability to collaborate with multiple stakeholders and work effectively in a team environment.
• Demonstrated curiosity, willingness to learn, and ability to receive and apply feedback.
• Basic proficiency with Microsoft Office or comparable productivity tools, including document, presentation, spreadsheet, and collaboration applications.
• Ability to work at the GM Global Technical Center in Warren, Michigan and
participate in virtual and in-person meetings as required by the team.
What Can Give You a Competitive Advantage
• Coursework, project work, or internship experience involving data governance, data stewardship, data quality, business process analysis, learning design, communications, community engagement, or program coordination.
• Familiarity with SQL, spreadsheets, data visualization, survey tools, reporting, or dashboard development.
• Exposure to data catalogs, metadata, ownership, classification, data quality, data privacy, data contracts, or lifecycle concepts.
• Exposure to steward onboarding, communities of practice, office hours,
enablement programs, or adoption measurement.
• Exposure to tools such as Atlan, Immuta, Anomalo, Databricks, Power BI,
Confluence, Degreed, Slack, or similar platforms.
• Strong documentation, collaboration, analytical, and communication skills with both technical and business audiences.
Compensation
The salary range for this role is from $84,900 - $130,500. 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.
What you’ll get from us (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 developing advanced driving-assistance and autonomous-vehicle capabilities that require safe, reliable, and scalable fleet operations. The Fleet Reliability Engineer will help keep the operational fleet mission-ready by combining vehicle-level troubleshooting, reliability analysis, maintenance and readiness support, and disciplined follow-through on corrective actions.
This role is part of the AV Operations organization and works closely with Fleet Management, Service Operations, Troubleforce, Vehicle Integration, AV software and hardware teams, safety partners, and vehicle operators. The engineer will translate recurring fleet issues into clear technical investigations, practical mitigations, durable corrective actions, and measurable improvements in uptime, utilization, and operational readiness.
The successful candidate is comfortable moving between the vehicle, the maintenance/work-order system, operational dashboards, and cross-functional engineering discussions. They can work independently on significant problems within a defined area, exercise sound judgment in a fast-moving environment, and clearly communicate technical findings to both hands-on teams and engineering leadership.
Within the first year, the Fleet Reliability Engineer will be expected to:
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.
]]>At General Motors, our product and manufacturing teams are redefining mobility by creating vehicles and experiences that make driving safer, smarter, and more connected. The Manufacturing Engineering Welding Group is part of the Global Manufacturing Engineering Body-in-White Execution Center, developing common welding systems that meet or exceed Bill of Equipment and program requirements. As a Body Welding Execution Engineer, you will support vehicle launches and current production by leading weld verification and qualification, reviewing product designs for resistance-welding compliance, and advancing welding processes, equipment, and standards. You will work with engineers, skilled trades, managers, suppliers, laboratories, and assembly plants to deliver manufacturing readiness, stable production, and continuous improvement across the vehicle program lifecycle.
What You'll Do
Your Skills & Abilities (Required Qualifications)
What Will Give You A Competitive Edge (Preferred Qualifications)
Additional Information
Overtime pay and eligibility may vary based on business cycle, launch requirements, and department policies. Travel may be required to support launch activities or suppliers.
]]>
REQUIREMENTS : Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, or related field of study. Five(5) years of experience as a Software Engineer, Salesforce Developer, Safety and Crash Analyst, or related occupation. OR Master’s degree in Computer Science, Computer Engineering, Electrical Engineering, or related field of study. Three (3) years of experience as a Software Engineer, Salesforce Developer, Safety and Crash Analyst, or related occupation. Two (2) years of experience in the following: Programming and configuring with Force.com Apex including classes and triggers, lightning components, lightning Web Components, Visualforce Flows, Omni Script, Flex Cards, JavaScript (ES6), and ReactJS; Software Development; Designing and developing large scale technology solutions with insights into Salesforce Sales Cloud Service Cloud; Salesforce SOQL, and SOSL security model Sales Cloud, Service Cloud, Chatter, and Force.com product offerings; and Design experience in Salesforce lightning UI and user-based security models. One (1) year of experience in the following: Objected Oriented design patterns; Database concepts and data modeling design; modeling and application design architecture; and identify platform risk issues and dependencies.
#LI-DNI
]]> As a PhD AI/ML Engineering Intern within General Motors’ Autonomous Vehicles organization, you will advance reliable AI/ML capabilities by translating deep research into validated, production-oriented systems. Your work may support perception, prediction, planning, decision-making, embodied AI, simulation, sensor understanding, mapping, or large-scale model development. You will work with real-world driving and sensor data, modern machine learning methods, and autonomous vehicle evaluation environments. You will collaborate with researchers and engineers to design experiments, build and assess models, investigate failure cases, and integrate promising approaches into broader AV systems.
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.
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
At GM, Engineering Product Development supports the design and release of vehicle systems, components, and parts from concept through production. The work includes developing and maintaining vehicle engineering bills of material (BOMs), managing part definitions and attributes, coordinating design changes and release activities, ensuring product data is accurate and traceable, and partnering with engineering, manufacturing, purchasing, suppliers, and other functions to support vehicle programs. This organization helps ensure vehicle content is well-defined, integrated, and ready for manufacturing, service, and ongoing product updates.
The Product Development PLM IT Organization that supports Engineering Product Development is seeking a Sr. Teamcenter Product Lifecycle Management (PLM) Solutions Engineer to serve as the primary liaison between Engineering business stakeholders and technical delivery teams. As part of a major transformation to consolidate legacy systems into Siemens Teamcenter, this role will capture and translate business requirements into scalable product structure, vehicle engineering BOM, and part management solutions. The SME will define functional blueprints, map complex product structures, and collaborate with PLM architects, developers, data migration teams, and technical delivery partners to ensure Teamcenter configurations, data models, integrations, and module deployments align with business needs. This role will help establish a modern PLM foundation that enables accurate product definition, efficient design and release processes, strong data governance, and consistent adoption across vehicle programs.
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:
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.
You will resolve highly complex technical issues and conducts advanced research and recommend alterations to development and design to improve quality of products and/or procedures.
This person will be skilled and proficient with a variety of the field's concepts, practices, and procedures and 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.
Responsible for Accessory Engineering leadership/oversight to “IBP” (Integrated Business Partner) projects. This includes Global process oversight for all regions as well as both process and engineering oversight for each project in the US. Work as a single point contact with the Accessory/Performance Marketing group for IBP projects with critical interface to each of the Accessory/Performance EGMs. Development of requirements to Marketing and impacted suppliers including any test or safety evaluation as required. Utilize creativity and initiative as well as some independent judgment. Looks for Innovation opportunities and “gap filling” of the Accessory/Performance Portfolio. Exercises technical direction over projects, other engineers or support personnel, and may have work direction responsibilities over a small group with specific engineering objectives. Facilitates all Safety and Compliance discussions with the appropriate organizations. Facilitates approvals with the appropriate SMT GSSLT / BFO Engineers / TIEs Validation / Program Teams / MPG Engineers or other Technical Experts. Consults with supervisor as required.
What You'll Do (Responsibilities):
Your Skills & Abilities (Required Qualifications):
What Can 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 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.)
]]>Global Manufacturing Electrical & SDV is looking for innovators who thrive in tough challenges and are passionate about tackling meaningful work that will shape the future of the automotive industry. This isn’t a role for those looking for an easy path—it’s for those who embrace change, push through obstacles, and take ownership of complex problems. 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
As vehicle electrical architectures become increasingly complex, ensuring flawless execution in manufacturing has never been more critical. This role exists to drive Electrical First Time Quality by developing and deploying the systems that validate electrical hardware before vehicles reach our customers. Your work will directly influence product quality, manufacturing efficiency, and customer confidence across some of GM's most advanced vehicle programs.
WHAT
As an Senior Electrical Manufacturing Engineer, you will design and implement electrical test systems for production lines such as alignment and continuity / functional testing of components.
HOW
You will partner across manufacturing, quality, software, vehicle engineering, and plant operations to introduce, validate, and continuously improve electrical test systems around the globe. By combining technical expertise, project leadership, and hands-on problem-solving, you will help ensure our manufacturing facilities are prepared to deliver vehicles that meet GM's highest standards for quality, safety, and performance.
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.
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.
What You’ll Do (Responsibilities):
Lead end‑to‑end project management for electrical hardware systems, ensuring on‑time delivery, cost alignment, and performance to requirements.
Coordinate design, development, and integration of electrical hardware—working closely with mechanical, electrical, quality, software, and manufacturing teams.
Oversee the introduction, commissioning, and validation of new electrical test equipment and system upgrades.
Drive issue resolution by partnering with engineering and production teams to remove roadblocks and maintain program timing.
Ensure electrical hardware systems meet manufacturing readiness, reliability expectations, and plant integration requirements.
Maintain clear communication with stakeholders, providing regular status updates, risk assessments, and mitigation plans.
Foster a forward‑thinking work culture that embraces change and adapts to evolving organizational and industry needs.
Build and maintain strategic relationships across software, manufacturing, and program management to strengthen cross‑functional alignment.
Your Skills and Abilities ( L7 Required Qualifications):
5+ years of experience in electrical hardware development, manufacturing engineering, or automotive systems engineering.
Strong understanding of electrical schematics, wiring diagrams, and hardware integration.
Experience coordinating installation, validation, and support of electrical test equipment or manufacturing electrical systems.
Excellent problem‑solving skills and attention to detail.
Strong communication skills and the ability to lead cross‑functional teams.
Familiarity with electrical testing, diagnostic equipment, and integration into manufacturing environments.
Your Skills and Abilities (L6 Required Qualifications):
2+ years of experience in electrical hardware development, manufacturing engineering, or automotive systems engineering.
Understanding of electrical schematics, wiring diagrams, and hardware integration.
Experience coordinating installation, validation, and support of electrical test equipment or manufacturing electrical systems.
Proficient problem‑solving skills and attention to detail.
Effective communication skills and the ability to lead cross‑functional teams.
Familiarity with electrical testing, diagnostic equipment, and integration into manufacturing environments.
What Will Give You a Competitive Edge (Preferred Qualifications):
Experience with hardware design Including circuit board or system level design.
Experience with vehicle alignment equipment.
Exposure to robotics, automation equipment, or machine vision (non‑programming focused).
Familiarity with MES systems or production data tracking tools.
Working knowledge of in-vehicle software tools (Neo VI, Vehicle Spy, DPS, MERS, etc.)
In-depth knowledge of plant electrical tools and processes (MPPTT, end-of-line test process, etc.)
The Quality Systems Manufacturing Engineer develops and launches automated measurement systems that support dimensional quality of body assemblies and complete vehicles. Working within centralized manufacturing engineering and transitioning to assembly plant or metal center operations, this role leads cross-functional development from concept through production validation. The engineer partners with Body Quality, BIW/GA, Controls, Robotics, Conveyance, Vehicle Systems, suppliers, and launch teams to deliver capable, integrated systems on program timing. This position requires significant ownership, initiative, and independent judgment in establishing robust measurement and dimensional control processes at launch and in production.
What You'll Do
Your Skills & Abilities (Required Qualifications)
What Will Give You A Competitive Edge (Preferred Qualifications)
GM Global Production System (GPS) Manufacturing Engineering is responsible for getting the process right and delivering assembly systems that enable flawless launches at the lowest total enterprise cost. As a Process Engineer supporting transmission and drive unit assembly, you will lead the development, sourcing, build, qualification, installation, and launch of assembly processes and equipment from initial concept through manufacturing implementation. Based at GM’s Global Technical Center in Warren, Michigan, you will partner with product engineering, manufacturing operations, execution engineering, maintenance, industrial engineering, plant engineering, throughput simulation, layout, planning, quality, and external suppliers. This role supports prototype builds, new product launches, and continuous improvement across GM manufacturing sites, with occasional travel to GM facilities and supplier locations.
What You’ll Do
Your Skills & Abilities (Required Qualifications)
What Will Give You A Competitive Edge (Preferred Qualifications)
REQUIREMENTS : Bachelor’s degree in Electronic Engineering, Mechanical Engineering or related field of study and Five (5) years of experience as a Manufacturing Engineer, Maintenance Group Leader, Test Engineer, or related role. Five (5) years of experience with the following: Process engineering; Plant floor and design for manufacturability; Transmission and Drive Unit Bill of Equipment, Bill of Process, Bill of Sediment Elimination, and Bill of Operations; Technical problem solving and root cause analysis; Failure mode and effects analysis and Control plan; Engineering technical skills including Leak test, torque (fastening), press operations, error proofing methods, process modeling; Design for safety, risk assessments; and Simulation, throughput analysis, theory of constraints, workload modeling. Four (4) years of experience with the following: Functional understanding of Transmission and Drive Unit operation.
#LI-DNI
]]>We are seeking a highly skilled and experienced Senior Software Engineer to join our ADAS HMI team within the Interactive Experience platform. In this role, you will design and deliver production automotive embedded software spanning microcontroller (MCU) and System-on-Chip (SoC) platforms. Your work will connect vehicle signals, sensors, and real-time controls to the services that power driver-facing alerts, controls, and situational-awareness experiences. You will apply strong system design and architecture skills to define clear boundaries, interfaces, and data flows across in-vehicle compute domains while meeting demanding requirements for safety, startup time, determinism, resource use, and reliability throughout the vehicle lifecycle.
Job Description
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
Job Description
General Motors is seeking a Facility Area Manager (FAM) to lead the effective operation, maintenance, improvement, and sustainment of facilities supporting Oshawa Assembly and the broader Oshawa campus.
The FAM is responsible for ensuring the safe, reliable, compliant, and cost-effective operation of buildings, infrastructure, utilities, facility services, and related support systems. The role requires strong cross-functional leadership, technical judgment, project-management capability, and customer focus in a complex manufacturing environment.
What You’ll Do
• Lead day-to-day facilities operations and service delivery for assigned areas of Oshawa Assembly.
• Ensure effective operation and maintenance of building systems, infrastructure, utilities, and facility services.
• Support plant operations through timely response to facility issues, breakdowns, service interruptions, and emerging risks.
• Provide direction and oversight to internal teams, contractors, suppliers, and service providers.
• Manage facility-related work priorities, escalation, communication, and follow-up with plant stakeholders.
• Support building maintenance, space management, housekeeping, tenant services, property maintenance, and related campus services.
• Support plant utilities and infrastructure, including steam generation, wastewater treatment, compressed air, chilled water, electricity, and other utility systems, as applicable.
• Lead or support regulatory, legislative, environmental, safety, and code-compliance activities.
• Support chemical and waste-resource management, pollution prevention, remediation, and risk-reduction initiatives.
• Develop and execute asset-sustainment strategies, including condition assessments, risk reviews, lifecycle planning, and funding recommendations.
• Plan, prioritize, and manage facility projects, replacements, renovations, and infrastructure improvements.
• Coordinate project scope, schedules, budgets, procurement, construction execution, commissioning, and handover.
• Integrate facility requirements with manufacturing equipment, process needs, buildings, utilities, and site infrastructure.
• Monitor project and operational performance using appropriate metrics, dashboards, and standard work.
• Lead continuous improvement using GM Operating System principles, problem solving, standardization, and customer feedback.
• Champion energy efficiency, demand management, sustainability, and resource-conservation opportunities.
• Support emergency preparedness, evacuation and take-shelter programs, incident response, and business continuity.
• Participate in plant leadership, manufacturing engineering, facilities, maintenance, safety, environmental, labor-relations, and supplier forums.
• Build effective relationships with production, maintenance, engineering, environmental, safety, finance, purchasing, contractors, and campus partners.
• Coach, develop, and coordinate facilities team members while promoting accountability, inclusion, and a strong safety culture.
Required Qualifications
• College degree with a major in engineering, facilities management, business, construction management, or a related discipline; equivalent training and experience may be considered.
• Significant experience in facilities, industrial operations, manufacturing, maintenance, construction, utilities, or engineering project management.
• Demonstrated experience managing complex projects, budgets, schedules, contractors, and competing priorities.
• Strong knowledge of facility systems, infrastructure, utility operations, maintenance, and regulatory requirements.
• Demonstrated analytical, communication, interpersonal, and problem-solving skills.
• Proven ability to build effective relationships with customers, team members, suppliers, and cross-functional partners.
• Demonstrated ability to work independently, exercise sound judgment, and remain accountable for results.
• Ability to work on-site in an active automotive manufacturing environment and respond to operational priorities as required.
Preferred Qualifications
• Experience in automotive manufacturing or a large industrial campus.
• Experience supporting facilities in a unionized manufacturing environment.
• Experience with asset sustainment, lifecycle planning, capital projects, construction management, or facility reliability.
• Familiarity with Maximo or another computerized maintenance-management system.
• Knowledge of Ontario building, fire, electrical, environmental, occupational health and safety, and regulatory requirements.
• Experience with energy management, sustainability, utility optimization, or demand-response programs.
• Experience implementing GM Operating System principles, continuous improvement, standard work, or structured problem solving.
• Professional engineering designation, project-management certification, or equivalent professional credential.
Key Competencies
• Action oriented
• Integrity and trust
• Learning agility
• Problem solving
• Customer focus
• Technical and functional expertise
• Planning and priority setting
• Decision quality
• Drive for results
• Building effective teams
• Developing people
• Managing through systems
• Organizational agility
• Strategic agility
Compensation
The salary range for this role is $131,000.00 to $180,900.00. 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:
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.
]]>The AI Engineering and Productivity team in the Global Planning, Design, and Product IT org is responsible for empowering Engineering and Quality 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 Senior Software Engineer , you will be responsible for developing data intensive and AI-enabled software applications that support Product Development engineering teams. You will work with complex data requirements and deliver solutions using industry standard practices across SQL, Databricks, and modern programming languages such as Java 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.
This role offers the opportunity to advise, coach, and mentor other software engineers while shaping how engineering teams access and use data and AI. You will help define patterns and best practices for SQL, Databricks (DBX), and AI/ML integrations within VEQ and play a key role in ongoing modernization and cloud initiatives.
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 Core OS group is a newly formed team building the operating-system foundation GM's next generation of vehicle software runs on: hypervisors and virtualization, safety partitioning and health management, container runtime and workload orchestration, and the boot and secure-boot chain that let Linux, Android, and QNX share a single high-compute platform safely and efficiently. As Principal Software Engineer, you are the senior technical authority and system architect for that layer — you'll determine which platform problems matter most, then define the architecture and drive the solutions that solve them, setting long-term direction for virtualization, partitioning, and platform services across GM's vehicle compute. Your influence extends well past your own code: establishing the technical interfaces to the silicon, guest OS, and functional-safety organizations, driving decisions with hypervisor and silicon partners, and guiding engineers across multiple teams toward a foundation that must hold up to production performance, reliability, and safety requirements in millions of vehicles.
What You’ll Do
Define and drive the architecture and long-term roadmap for GM’s Core OS layer, including hypervisors, virtualization, virtual machine lifecycle, resource partitioning, inter-virtual-machine communication, and the boot and secure-boot chain.
Architect the multi-operating-system foundation that enables embedded Linux, including Yocto-based distributions, Android, and QNX to run on shared vehicle compute with consistent platform services and interfaces.
Establish the platform safety architecture, including freedom from interference between partitions, health monitoring, fault detection and recovery, in partnership with functional safety and cybersecurity organizations.
Define the container and workload-management architecture for on-vehicle execution, including isolation, lifecycle management, resource governance, and updateability.
Own the system-level performance strategy across compute efficiency, latency, boot time, memory footprint, and deterministic behavior, and lead optimization efforts across software and hardware boundaries.
Drive build-versus-buy and technology-selection decisions for hypervisor, real-time operating system, and runtime components, and lead technical relationships with the corresponding suppliers.
Provide technical mentorship and direction to Staff and Senior Software Engineers while establishing engineering standards and review practices for the new organization.
Lead complex investigations and root-cause analyses across virtualization, operating-system, and silicon boundaries. Represent Core OS in technical councils, architecture reviews, and cross-functional design forums, and define ownership boundaries with adjacent platform teams.
Your Skills & Abilities (Required Qualifications)
Bachelor’s degree in Computer Science, Electrical Engineering, Computer Engineering, or a related field; or equivalent experience.
Fifteen or more years of experience in embedded, kernel-level, or systems software development, including production-grade systems.
Proven experience architecting operating-system or virtualization platforms for high-performance or safety-critical systems.
Deep expertise in at least two of the following areas:
Type 1 hypervisors and virtualization
Real-time operating systems
Embedded Linux internals
Secure boot and platform integrity
Strong knowledge of Arm system-on-chip (SoC) architecture, including memory management, interrupt and input/output virtualization, and hardware-enforced isolation mechanisms.
Experience leading multi-team or cross-functional technical programs from concept through production.
Proficiency with modern development tools and practices, including Git, GitHub, continuous integration and continuous delivery (CI/CD), automated testing, and performance profiling.
Strong communication and influence skills across technical, cross-functional, and executive audiences.
What Will Give You a Competitive Edge (Preferred Qualifications)
Master’s degree or equivalent experience in Computer Science, Electrical Engineering, Computer Engineering, or a related field.
Hands-on architecture experience with hypervisor technologies such as Gunyah, QNX Hypervisor, Xen, or KVM/Arm, including virtio-based device virtualization.
Expertise in automotive functional safety, including Automotive Safety Integrity Level (ASIL) decomposition, safety-island architecture, freedom-from-interference arguments, and safety-framework integration.
Experience with container runtimes and workload orchestration in resource-constrained or embedded environments.
Familiarity with Yocto-based Linux distributions, Android Open Source Project (AOSP) or Android Automotive, and QNX Software Development Platform (SDP) as guest or host environments.
Familiarity with health monitoring, fail-operational and fail-safe mechanisms, and platform-resiliency design.
Experience with Adaptive Automotive Open System Architecture (AUTOSAR), Software Defined Vehicle Open Architecture for Embedded Edge (SOAFEE), or comparable automotive platform standards.
Experience with over-the-air (OTA) and continuous-update architectures.
Contributions to open-source virtualization or operating-system projects.
Proven ability to set technical vision, influence across organizations, and represent a company in cross-industry engagements.
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 salary range for this role is $216,400 –$450,400 . The actual base salary offered within this range will vary based on factors relevant to the position, as well as the selected candidate’s geography.
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 plans, paid vacation and holidays, tuition assistance, employee assistance programs, life insurance, and GM vehicle discounts.
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
Global Manufacturing Electrical & SDV is looking for innovators who thrive in tough challenges and are passionate about tackling meaningful work that will shape the future of the automotive industry. This isn't a role for those looking for an easy path. It's for those who embrace change, push through obstacles, and take ownership of complex problems. 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.
This Role Is Ideal For
Program managers who enjoy leading complex initiatives, aligning diverse stakeholders, and driving operational outcomes across manufacturing environments. You'll thrive in this role if you can bring structure to ambiguity, influence without authority, and help teams deliver critical business objectives.
WHY
Help improve the quality and reliability of GM vehicles by supporting defect prevention, warranty reduction, and Electrical First Time Quality (EFTQ). Your work will directly support vehicle launches, manufacturing readiness, and the successful implementation of electrical systems across GM's global manufacturing network.
WHAT
As a Program Manager, Global Manufacturing Electrical & SDV, you will lead programs and strategic initiatives that support manufacturing operations, vehicle launches, and plant readiness activities. You will coordinate cross-functional teams, manage program execution, and drive measurable business outcomes across engineering, manufacturing, software, IT, quality, and operations organizations.
HOW
Partner with stakeholders across manufacturing, engineering, quality, software, IT, suppliers, and plant teams to execute program plans, manage risk, resolve issues, and ensure successful delivery of business objectives.
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 25% domestic and international travel.
This position may be filled with a Senior Program Manager or Program Manager. The level for this role will be determined based on the selected candidate's qualifications, skills, and experience.
What You'll Do
Senior Program Manager Responsibilities
Program Manager Responsibilities
Your Skills and Abilities (Required Qualifications)
Senior Program Manager Required
Program Manager
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
The Assembly Process Group develops and implements innovative assembly processes that enable robust manufacturing of transmission and drive units. This role is responsible for sourcing, designing, building, and qualifying assembly processes and equipment from initial concept through successful implementation at the manufacturing site.
Our manufacturing engineers play a critical role in transforming GM facilities through the adoption of breakthrough technologies. From raw metal to final assembly, this team is redefining the tools and processes that will help GM deliver on its commitment to an all-electric future.
What You'll Do
Your Skills and Abilities (Required Qualifications)
What Will Give You a Competitive Edge (Preferred Qualifications)
Additional Information
#LI-MH1
]]>The Role
As a Software Engineering - Site Reliability Engineer (SRE) on the Connectivity team, you will drive the reliability, scalability, and performance of critical software systems while solving complex engineering and operational challenges. You will identify opportunities to strengthen system resilience, improve processes, and develop scalable solutions, using data and technical expertise to influence decisions and drive improvements across teams. Working with a high degree of independence, you will own solutions from problem identification through implementation, collaborate across engineering organizations, and serve as a technical resource and mentor to other engineers.
What You'll Do:
Required Skills & Abilities:
• Bachelor of Science degree in Electrical Engineering, Computer Science, Software Engineering, or other related software subject area, or work equivalent work experience.
• 5+ years of relevant experience
• Working knowledge of embedded systems development
• Exposure to module development process, product development, execution, systems engineering, systems integration, or validation
• Working knowledge of Python and Autobot for scripting, automation, test execution, and connectivity issue troubleshooting.
• Knowledge of vehicle diagnostics
• Proficiency in vehicle data communication systems, including CAN and Ethernet.
• Understanding of networking and software development in distributed systems
• Experience that demonstrates strong technical leadership - able to comprehend complex systems and explain these systems to others.
• Creativity and initiative as well as a high level of independent judgment - able to deliver quality results with little supervision.
• Demonstrated experience in the development of requirements, features, detailed designs, and delivery of production releases.
• Ability to root cause issues, track and communicate corrective actions to multiple stakeholders
• Good verbal, written and communication skills
• Passion to learn new technologies
What will Give You a Competitive Edge ( Preferred Skills):
• Master of Science Degree in an engineering field
• Experience in GM production SW development process and Issue tracking systems
• Familiarity with Bluetooth, Wi-Fi, GPS, Cellular, CAN, V2x simulators and test devices
• Connectivity experience (i.e. Telematics, Infotainment, Modules.)
REQUIREMENTS: Bachelor's degree in Computer Engineering, Computer Science, Electrical Engineering, Electronic Engineering, or related field of study and Five (5) years of experience as a Software Engineer, Embedded Software Engineer or related role. Five (5) years of experience with the following: Embedded software development; Configuration management software including IBM Synergy; Embedded compiler, linker, debugging tools, and software such as Lauterbach, ETAS INCA, CANalyzer, oscilloscopes, and other general lab equipment; Test Driven Development and Behavior Driven Development; AUTOSAR compliant Infrastructure and Firmware software development; and Code Quality Analysis and debugging, including test case coverage and quality metrics.
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]]> GM R&D invents, evaluates, optimizes, and matures next-generation in-vehicle architectures, compute platforms, and communication systems that enable GM’s vision of the Software Defined Vehicle. We focus on how SoCs, MCUs, memory, networks, and low-level software come together into robust, safe, and cost-effective automotive platforms, spanning deeply embedded ECUs as well as high-performance compute platforms for infotainment and automated driving.
Semiconductors and compute platforms , with a focus on SoCs, MCUs, memory subsystems, and associated board-level and platform software technologies for automotive ECUs, infotainment systems, and centralized/automated driving compute platforms. You are expected to define, propose, and develop research projects in alignment with GM R&D’s strategy and priorities, and to clearly define, communicate and demonstrate the value your work creates for GM and our customers.
What You’ll Do:
Required Qualifications:
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., H1-B, OPT, STEM OPT, CPT, TN, J-1, etc).
The position is subject to export control restrictions and requires the successful candidate to be a U.S. Person (U.S. citizen, U.S. permanent resident, asylee or refugee).
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 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.
]]>The Dealer Systems Business Operations Lead owns the day-to-day business operations, product strategy, and ongoing support of the systems that manage GM’s global dealer network and dealer contractual processes. The portfolio includes GM’s business-critical Dealer Information Database (GMDID) and Dealer Network Planning System (DNPS) mainframe applications, as well as integrated systems supporting dealer changes, document management, electronic signatures, financial transactions, and reporting. This role supports a team responsible for a broad range of business processes and system operations while partnering with global business teams, technical teams, financial institutions, and other key stakeholders. Success in this position requires a strong combination of technical expertise, business acumen, leadership, and experience leveraging mainframe, mid-range, and relational database environments.
What You’ll Do
Your Skills & Abilities (Required Qualifications)
What Can Give You a Competitive Advantage (Preferred Qualifications)
If you enjoy building scalable software, working directly with end users, and seeing your solutions create measurable impact in real-world operations, we'd love to hear from you.
This Role Is Ideal For
Software engineers who enjoy building full-stack applications that solve real-world operational challenges. You'll thrive in this role if you like working directly with users, translating complex business needs into scalable software solutions, and seeing your work make an immediate impact across a global manufacturing network.
WHY
Help transform how GM manufacturing plants operate by developing a global platform that connects teams, processes, and systems into a unified digital operating environment. Your work will directly improve issue resolution, operational visibility, launch readiness, and manufacturing performance across GM's global footprint.
WHAT
As a Senior Software Engineer - Manufacturing Digital Opertations, you will design, develop, and support production-grade applications that enable critical manufacturing operations. You will work across user interfaces, APIs, integrations, and data platforms to deliver scalable solutions that improve plant performance, user experience, and operational efficiency.
HOW
Partner with manufacturing operations, product owners, and software engineers to understand business challenges, develop scalable solutions, and continuously improve platform capabilities through modern software engineering practices.
Work Arrangement – Onsite
The successful candidate is expected to report to the Warren Tech Center on a full-time basis.
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
What You'll Do
L7 Responsibilities
L6 Responsibilities
Your Skills and Abilities (Required Qualifications)
L7 Required
L6 Required
What Will Give You a Competitive Edge (Preferred Qualifications)
The Role
The District Manager, Parts and Service (DMPS) is a strategic field leadership role responsible for driving aftersales performance across a defined region. This position partners closely with dealership leadership to execute GM’s Customer Care & Aftersales initiatives, improve customer satisfaction, and grow revenue. The DMPS leverages data-driven insights, operational expertise, and consultative influence to deliver measurable results in a dynamic and evolving automotive landscape. The DMPS reports directly to the Zone Manager, Parts and Service and plays a key role in executing strategy with dealership operations.
What You'll Do
Your Skills & Abilities (Required Qualifications)
What Can Give You a Competitive Advantage (Preferred Qualifications)
The Process Engineer - Electrode & Assembly supports senior engineers in developing, improving, and troubleshooting battery-cell manufacturing processes from electrode through cell assembly at GM’s Battery Cell Development Center.
The scope includes processes such as roll press, slitting, drying, notching, stacking, welding, assembly, packaging, sealing, and electrolyte filling. The engineer works under general supervision with limited guidance, independently executes assigned work, uses judgment on moderate-scope problems, and escalates complex products, equipment, quality, and safety decisions.
What You’ll Do
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 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.)
]]>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.
]]>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 on night shift (8pm to 5am) . 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
As an Onboarding Journey Analyst, you will help deliver a consistent, timely, and candidate-centered onboarding experience for new hires supported by the Manila People Services Center. You will manage operational onboarding activities across connected HR systems and partner teams, helping move each candidate from offer acceptance through background-check completion, identity and access readiness, equipment coordination, and Day 1 preparation.
You will work within defined processes and service-level expectations while applying sound judgment to resolve non-routine cases. The role requires strong attention to detail, clear communication, effective case ownership, and the ability to coordinate across Talent Acquisition, HR, hiring managers, IT, security, background-screening partners, and other People Services teams.
What You’ll Do
Your Skills & Abilities (Required Qualifications)
What Will Give You A Competitive Advantage (Preferred Qualifications)
Key Behaviors for Success
Measures of Success
Success in this role will be demonstrated through:
General Motors is developing the software and artificial intelligence capabilities for the next generation of autonomous driving. Within AI Foundations, AI Acceleration makes machine learning models faster, more efficient, and more reliable on production vehicle hardware.
The AI Deployment team owns model inference performance across simulation, hardware-in-the-loop, bench, and vehicle environments. The team focuses on latency, memory, GPU utilization, numerical parity, profiling, benchmarking, reduced precision, and production readiness.
About the Role
We are looking for a Senior Manager, AI Deployment to lead the strategy and execution of model performance and on-vehicle inference for autonomous driving. You will lead engineering managers and senior technical leaders working across model optimization, GPU systems, inference runtimes, and vehicle integration. You will set performance goals, guide optimization of complex autonomy models, and establish disciplined methods to measure latency, diagnose regressions, and validate improvements. Success requires strong technical judgment, people leadership, and the ability to make clear trade-offs among latency, memory, throughput, accuracy, power, and numerical parity.
What You’ll Do
Leadership Responsibilities
Your Skills & Abilities (Required Qualifications)
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 compensation may not be representative for positions located outside of New York, Colorado, California, or Washington
#GM-AV-1
]]>As a Program Management Intern with GM Defense, you will support the execution of defense programs and customer contracts. You will gain hands-on experience in program financial management, budget planning, contract administration, performance tracking, and cross-functional program execution.
The Team:
The GM Defense Program Management team works across Finance, Contracts, Engineering, Manufacturing, Supply Chain, Procurement, and other business functions to deliver programs that meet customer requirements. The team manages program cost, schedule, scope, milestones, risks, deliverables, and performance while supporting timely business decisions.
What You’ll Do:
Required Qualifications:
Preferred Qualifications:
Work Arrangement:
Hybird: This role is categorized as Hybird. This means the successful candidate is expected to report to Pontaic, MI office three times per week, at minimum.
Travel: Occasional travel may be required based on program and business needs.
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.
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.)
]]>Overview of Your Role:
The Manager of Customs Advanced Planning is responsible for managing all facets of GM Customs’ Program Planning and oversight of long-term USMCA forecasting, compliance, and risk management. This role ensures the delivery of accurate Customs Risk Assessments for Global Vehicle Development Process (GVDP) and Global Propulsion Development Process (GPDP) gate reviews, as well as Program Quality Readiness Reviews (PQRRs).
The manager serves as a trusted advisor on origin and other trade matters to key corporate partners, including Program Management, Program Finance, Program Purchasing, GPSC Finance, Logistics, Tax Transfer Pricing, Manufacturing Strategy, and Public Policy. The Manager, Program Planning, reports directly to the Director, Customs, Advanced Planning & Policy.
Your Responsibilities:
This position requires a detail-minded professional with experience interpreting free trade agreement rules and applying them to a variety of scenarios. The candidate will possess strong communication skills and project management skills, demonstrate sound technical judgment, and build effective partnerships across organizations outside of Tax & Customs.
· Lead the GVDP and GPDP Customs Risk Assessment processes for all applicable gates and PQRRs.
· Prepare monthly, quarterly, and annual free trade agreement compliance forecasts, covering short-, mid-, and long-term outlooks.
· Identify, evaluate, and communicate long-term program tariff impacts to support early risk mitigation, financial planning, and program decision-making.
· Lead and facilitate quarterly USMCA Governance Board and USMCA Working Group meetings.
· Leverage automation and drive continuous improvement to enhance the efficiency, accuracy, and scalability of Program Planning processes and tools.
· Apply technical expertise to advise Program Management, Purchasing, Public Policy, and Manufacturing Strategy and influence decisions that support long-term compliance with USMCA
and other applicable free trade agreements, as well as other origin-based regulations, including CAFE.
· Lead, coach, and develop team members while fostering a culture of collaboration, accountability, and continuous improvement.
Required
· Undergraduate Degree (Preferred in finance, accounting, or other business-related subject)
· 5+ years of customs and trade related experience
· Strong ethical judgment and compliance mindset
· Leadership capabilities
· Strong communication, collaboration, and stakeholder management skills
· Demonstrated problem-solving skills
· Knowledge of tariffs, trade remedies, trade agreements, and their impact on automotive or manufacturing operations
· Ability to present complex issues and recommendations cross functionally
Preferred
· Licensed Customs Broker
· MBA or other advanced degree
]]>The Facilities Management Representative (FMR) supports safe, reliable, compliant, and efficient facility operations across assigned buildings and business units. This Level 7 role serves as the primary facilities interface for internal customers, Infrastructure & Corporate Citizenship (ICC), service agreement providers, subcontractors, and cross-functional partners. The FMR leads daily operational coordination, continuous improvement, strategic facility planning, and issue resolution to deliver a high-quality workplace experience while advancing GM safety, quality, cost, responsiveness, and environmental objectives.
What You’ll Do
Your Skills & Abilities
Minimum Qualifications
Preferred Qualifications
Hybrid: This internship is categorized as on-site. The selected intern is expected to report to the office 3 days a week.
Location:
Sunnyvale, CA
The Data Scaling team builds the data, machine learning, and infrastructure foundations that enable Embodied AI models to improve with scale. We work across data collection, curation, mining, labeling, dataset quality, model inputs, distributed training, experiment workflows, and the systems that help researchers and engineers develop, evaluate, and deploy models more efficiently.
Our work supports large-scale autonomous driving models and the broader Embodied AI flywheel. We combine machine learning, data engineering, distributed systems, and software engineering to make high-quality, product-aligned driving data available for perception, planning, trajectory generation, and other autonomy capabilities.
As an Embodied AI Data Scaling Intern, you will work on a well-scoped project that improves the scale, quality, efficiency, or reliability of data and model development for autonomous driving. You will collaborate with researchers and engineers to build data pipelines, analyze large datasets, improve training workflows, or develop infrastructure that increases the number and quality of experiments the team can run.
Potential focus areas include:
Compensation:
To help facilitate administration of relocation benefits if you are selected, please apply using the permanent address you would move from.
Work Arrangement:
On-Site: This internship is categorized as on-site. The selected intern is expected to report to the office 5 days a week.
Locations:
Milford, Michigan
About the Team:
The AV Systems, Sensing and Integration Team is responsible for developing, integrating, and validating cutting-edge assisted and automated driving capabilities across the entire vehicle lifecycle. Our organization delivers features end-to-end from early requirements and architectural design through full vehicle integration, calibration, validation, and global program launch.
We combine deep expertise in sensor hardware, perception, software features, and vehicle systems engineering to ensure safe, reliable, and customer-delighting driving experiences.
What You Will Do:
We are hiring across multiple engineering and technical disciplines that collaborate and work with cross-functional teams. Opportunities available in systems engineering, system integration, automation and simulation development.
System Engineering
Systems Integration and Calibration
Automation and simulation development
What We’re Looking For:
Required Qualifications:
Preferred Qualifications:
Compensation:
What you’ll get from us (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.
The Role
Advanced Vehicle Development is seeking an experienced MBSE Systems Tools Developer to coordinate the MBSE toolchain, lead pilots of new tools, develop integrations with GM engineering systems, and enable teams through training and technical support. This role will connect AVD engineering needs with Information Technology and enterprise tool owners to establish a scalable, traceable, and supportable MBSE ecosystem.
What You’ll Do (Responsibilities)
Your Skills & Abilities (Required Qualifications)
What Can Give You a Competitive Advantage (Preferred Qualifications)
#LI-KM2
]]>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
There’s never been a more exciting time to work for General Motors . To achieve our vision of a world with Zero Crashes, Zero Emissions and Zero Congestion , we need people who are passionate about creating safer, better, and more sustainable ways for people to move. This bold vision won’t happen overnight, but just as we transformed how the world moved in the last century, we are committed to transforming how we move today and in the future.
Our culture is focused on building inclusive teams , where differences and unique perspectives are embraced so you can contribute to your fullest potential as you pursue your career.
The Role
We are seeking a high‑performing Hardware Development Engineer to plan, develop, and execute fuel injector component and subsystem tests in a world‑class development facility. Responsibilities include hands‑on test bench work, data analysis, calibration support, and driving test efficiency through data reduction and virtualization of lab activities. This assignment requires creativity, initiative, and independent judgment, as well as effective cross‑organizational teamwork.
What You’ll Do
Test & Bench Ownership
Data, Tools & Virtualization
Collaboration & Continuous Improvement
Leadership & Mentoring
Education & Training
Required Skills & Experience
Preferred Skills & Experience
Work Location & Model
At General Motors, we combine the passion of a startup with the influence of a global powerhouse. We pride ourselves on designing, building, and selling the world's best vehicles and transportation solutions, and we seek to transform the future of personal mobility.
We are seeking a new generation of visionaries to help launch bold Design initiatives and shape new directions for General Motors. As a Design Intern, you will work with a team to design next-generation in-vehicle experiences.
The Team:
As a designer within GM’s Human Interface Design organization, you will craft intuitive, human-centered experiences across vehicles, digital platforms, and design systems. You will work independently on complex design challenges, collaborating across disciplines to deliver solutions that align with GM’s vision of Zero Crashes, Zero Emissions, and Zero
Congestion.
We are hiring interns across three focus areas for Summer 2027:
• Vehicle Experiences – Designs the future of in-vehicle digital ecosystems, from operating systems and cabin interfaces to connected customer experiences across digital touchpoints. This team partners closely with engineering and product to deliver intuitive, accessible, and delightful experiences that enhance driving and connect millions of users worldwide. Sitting at the intersection of industrial and digital design, these designers work on forward-looking strategies that shape how users interact with evolving systems.
• Advanced UX – Explores next-generation vehicle experiences through conceptual visualization and rapid prototyping. This team pushes boundaries with bold ideation and human-centered design to shape seamless interactions across hardware and software. Designers here blend creativity and technical know-how to envision future mobility experiences that are intuitive, inclusive, and aesthetically refined.
• Services & Web Platform – Shapes the future of web and app experiences across GM and its marquee brands. This team ensures GM’s digital ecosystem feels effortless, engaging, and safe, connecting drivers and passengers to their vehicles and services through thoughtful, human-centered design.
What You’ll Do:
• Collaborate closely with team members and cross-functional teams to craft a premier user experience across products and platforms.
• Balance user needs, technical constraints, and business objectives to solve problems effectively.
• Develop production interaction designs following design guidelines.
• Create design deliverables to communicate your work, including sketches, drawings, mockups, animations, and prototypes.
• Release production specifications and assets to software engineering teams.
• Present work to peers and leadership.
• Work with product teams and engineers to execute user interface designs as a seamless part of the overall user experience, advocating aesthetics and visual design principles.
• Participate in design critiques to guide design decisions.
Please note, you must submit a portfolio to be considered for this position – see instructions below.
Required Qualifications:
• Pursuit of a bachelor's degree or advanced degree in User Experience Design, Human Computer Interaction, Integrated Design, Design Science, Product Design, Fine Arts - Interaction/Interactive Design, Digital Media/Media Arts, Design & Technology, or a similar field.
• Must be graduating between December 2027 and May 2029.
• Able to work full-time, 40 hours per week during the summer months.
Preferred Qualifications:
• Proficiency in common design tools such as Figma, Adobe Creative Suite, and prototyping software.
• Outstanding interpersonal and relationship-management skills to effectively collaborate with varying levels of the organization as needed.
• Excellent written and verbal communication skills with the ability to distill complex subjects to a wider audience.
• Emerging partnership and collaboration skills and the ability to learn from and share knowledge with coworkers in a fast-paced environment.
• High level of integrity, ability to deal with ambiguity, and initiative/self-direction.
• Evidence of strong character with honesty, accountability, and trust.
• Consistently demonstrates innovative, customer-centric thinking.
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 position does not require an employee to be onsite full-time, but the general expectation is that the employee be onsite an average of three (3) days each week if located within 50 miles of a Global Technical Center in Warren, MI.
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 if you are selected, please apply using the permanent address you would move from.
Compensation:
• The salary for this role is $6,100 monthly.
Start Dates:
Start dates for this internship role are May & June of 2027.
What You’ll Get From Us (Benefits):
• Paid U.S. GM Holidays
• GM Family First Vehicle Discount Program
• Result-based potential for growth within GM
• Intern events to network with company leaders and peers
Portfolio Submission Instructions:
We strongly encourage you to include a link to your online portfolio in the "website" section of your application or directly on your resume. This allows us to easily access larger files and view your work in its intended format.
Please do not submit Dropbox files or Google Docs.
1. Save your portfolio as a PDF document.
2. Name your portfolio LAST NAME, FIRST NAME. Example: Candidate name is John Smith. Portfolio PDF file name is: Smith, John.pdf.
3. Upload it as an attachment; you may have to condense the file.
DISCLAIMER: The works included in your career portfolio must not be subject to any nondisclosure and/or confidentiality agreement. If the works in your career portfolio are owned by your current or former employer, or by any other third party, there must be express written consent from the owner allowing the works to be included in your career portfolio for sharing with General Motors ("GM"). By sharing your career portfolio, you grant to GM the right to quote, paraphrase, reproduce, distribute, or otherwise use all or any portion of the career portfolio for purposes of making a hiring determination. By sharing your career portfolio, you also agree to release and discharge GM, and its licensees, successors, and assigns, from any and all claims, demands, or causes of action that you may have regarding any use of the career portfolio, including (but not limited to) any claims based on the right to privacy, the right to publicity, copyright, libel, defamation, or any other right.
]]>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 Oshawa Assembly on a full-time basis.
In the role of Mechanical Manufacturing Engineering Specialist, you will act as a critical technical resource responsible for the upkeep, improvement, and refurbishment of manufacturing equipment related to the Oshawa Paint Shop process. In this role you will get the chance to scope, procure, manage, install and validate capital and operating projects that range from process design improvements to new equipment with a focus on safety, cost and schedule.
In additional you will act as a critical technical resource to other operations teams to generate process improvements related to the assembly process in your assigned area. You will perform troubleshooting of various equipment such as VDL’s, conveyance and lift assists
Core Responsibilities
Required Qualifications:
Preferred Skills and Experience:
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:
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.
]]>Onsite: This role is categorized as onsite. This means the successful candidate is expected to report to the Ft Wayne facility on a full-time basis.
The Role: Assisting Maintenance in Troubleshooting and Continuous Improvements throughout the facility.
What You’ll Do:
Your Skills & Abilities (Required Qualifications):
What Will Give You A Competitive Edge (Preferred Qualifications)
Relocation benefits are available for candidates who qualify under company policy.
]]>At GM environmental, we are geared towards developing creative solutions to complex environmental challenges. As a Senior Environmental Engineer at General Motors, you will have the opportunity to champion the air, waste and/or water compliance programs and be responsible for developing programs to reduce environmental risk. You will work collaboratively with diverse groups to create and implement best in class, sustainable solutions to improve environmental compliance and sustainability across the site. We are currently looking for talented individuals who have a passion for the environment and who want to help make the facility a leader in environmental compliance and sustainability.
A Senior Environmental Engineer works independently and is capable of managing new or complicated issues with collaboration as needed with other subject matter experts and functional areas.
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:
In this role your responsibilities will be of a technical nature with decisions made within the limits of general practices, policies, and standards. Your work will involve complex manufacturing problems including the need to root cause and follow issues to resolve. Creativity, initiative, and independent judgement are required to successfully accomplish job duties. Decisions are made within the limits of general procedures and specifications.
What You'll Do:
Direct the design, development, and/or improvement of manufacturing processes for assigned area
Analyze and implement product or machinery designs for the best method for manufacturing processes
Propose and evaluate the processes for equipment in assigned area
Provide direction to small group of technical employees
Evaluate or monitor expenditures for processes and/or equipment
Interpret product math data and specifications to develop tools and equipment necessary to support the manufacturing process
Propose and evaluate process, tool, and equipment designs
Review and approve tool designs, release tools to build source, and oversee tool build & installation as required to meet business needs
Develop and oversee production of build process documentation to be used on the shop floor
Interact with design and product engineering activities to determine manufacturing feasibility of product designs
Provide technical direction to support personnel, maintenance, and tool design & build suppliers
Occasional oversight of other engineers or engineering support personnel to accomplish specific departmental and project objectives as necessary
Qualifications for this position:
Must be willing to travel up to 50%
Engineering degree or equivalent relevant education & training
Demonstrated relevant experience with similar equipment & tools – five or more years preferred
Experience with automotive assembly processes and related tools & equipment
Strong communication skills with ability to clearly communicate complex subject matters
High level of interpersonal skills with ability to work effectively in a team environment
Ability to work independently with a minimum of direction
Ability to exercise independent judgement, creativity, and initiative
Ability to handle simultaneous assignments and competing priorities in complex work environment
#LI-MH1
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
]]> 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
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):
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.
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.
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.
]]>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
]]>As one of our founding SREs, you will have the unique opportunity to take this program from 0 to 1. You will not be an embedded support engineer or a centralized help desk. Instead, you will establish the core governance layer, define pragmatic standards, write production automation, and partner with infrastructure teams to help them operate reliably without depending on heroics.
If you are an expert in SRE practices who loves building the machine that builds the machine, this is your chance to shape the reliability culture for the future of autonomous driving.
Co-found the SRE Practice: Translate our reliability charter into working engineering systems, adoption paths, and measurable outcomes.
Build the Paved Road: Design and build shared reliability tooling and automation for service cataloging, SLOs, error budgets, readiness evidence, and toil reduction.
Define the Standards: Establish a risk-based production reliability architecture, minimum standards, golden paths, and a time-bound exception process.
Drive Incident Excellence: Partner with Incident Management to operationalize severity, command, and response standards. Establish blameless post-incident practices and ensure corrective actions are tracked and completed.
Partner with Service Owners: Help teams classify critical services, map dependencies, identify failure modes, and establish meaningful SLIs/SLOs based on developer, vehicle, or operator outcomes.
Protect Engineering Capacity: Decline toil transfer and turn repeated manual operational work into reusable software.
Significant experience as an SRE, Production Engineer, or Infrastructure Software Engineer operating large-scale distributed systems.
Demonstrated experience taking an SRE or operational excellence program from 0 to 1, or materially improving a program in an organization with uneven reliability maturity.
Strong software engineering ability in at least one general-purpose language (Go, Python, Java, C++, etc.).
Deep systems knowledge across several domains: Linux, networking, Kubernetes, cloud infrastructure, CI/CD, or observability.
Practical, hands-on experience defining SLIs/SLOs, using error budgets, designing actionable alerts, and improving on-call health.
The ability to build consensus and drive adoption of standards across teams without taking away their ownership of the underlying services.
Sound judgment under ambiguity: you can distinguish urgent operational symptoms from the engineering work required to prevent recurrence.
Experience in autonomous vehicles, robotics, safety-relevant systems, automotive software, or another high-consequence production environment.
Experience with hybrid cloud/on-premises environments and foundational platform services.
Experience with data or ML platforms, including data freshness, distributed training, model artifacts, or model serving.
Experience building service catalogs, production-readiness automation, reliability scorecards, or policy-as-code.
Experience facilitating game days, failure injection, regional failover, or disaster-recovery exercises.
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.
Relocation: This job may be eligible for relocation benefits.
Remote/Hybrid: This role is based in Sunnyvale, CA or Austin, TX if you live within a 50-mile radius of an office location you are expected to report to that location three times a week, at minimum.
This role is categorized as hybrid, meaning the selected candidate will be expected to work on‑site at the Warren Tech Center at least three days per week (or other frequency determined by their manager).
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..
General Motors is seeking experienced Engineering Designers to support the design and virtual integration of automotive systems . This role focuses on creating high-quality, manufacturable Siemens NX math models , performing part-to-vehicle integration and clearance studies , and supporting GM’s Global Vehicle Development Process (GVDP) .
We are hiring for multiple openings across the following component areas:
Electrical
Electrification and System Design
Interiors AVD
Garnesh Trim & Overhead
Accessories
Rear closures
Underbody/ Chassis /Propulsion
Transmission / Drive units/Engine
Seating
Chassis / HVAC / Thermal
Bumper / Fascia / Grilles / Trim
Body structures
Upper / Lower structure
Key Responsibilities:
Support designers with design tasks, component requirements, and other virtual integration activities
Develop, refine, and finalize criteria and sections for assigned components or systems
Ensure compliance with design standards, best practices, and Global infoBOOK requirements
Apply knowledge of manufacturability, Design for Assembly (DFA), and integration principles to part and subsystem designs
Actively participate in, and at times lead, design and virtual reviews
Document and maintain material specifications, mass data, and other attributes within the math file
Perform NX analysis with support from the Design Lead Team (DLT) or Senior Designer and apply results to subsystem designs
Collaborate with engineers, designers, and technical teams to meet product design requirements
Integrate component and subsystem designs into the overall system architecture
Stay informed on current product developments, technology trends, and best practices
Share lessons learned with the broader design community and recommend updates to design standards
Create math models or virtual layouts of complex components and subsystems
Proactively communicate project status, timing, and technical issues to the Design Manager, DLT, and Design Release Engineer (DRE)
Ensure high-quality, on-time math release of assigned components and subsystems
Identify new learning areas and participate in ongoing training and skill-development opportunities
Required Qualifications:
2–5 years of experience in CAD / engineering design (automotive or mechanical systems)
Proficiency in Siemens NX and parametric modeling
Strong understanding of GD&T , manufacturability, and subsystem integration
Bachelor’s degree in Mechanical Engineering or equivalent experience
Strong communication, problem-solving, and collaboration skills
Preferred Qualifications:
Experience with any of the component areas listed above
Experience supporting CAE / analysis workflows
Prior exposure to virtual integration or multi-disciplinary design reviews
Experience at suppliers or OEMs in one or more of the following domains is a plus: Engine / Propulsion, Body Structures, Interiors, Exterior Lighting, Rear Closures, Accessories, Transmission / Drive units, Seat Systems, Chassis / HVAC / Thermal, Upper / Lower Structure, Bumper / Fascia / Grilles / Trim
Success in this role is demonstrated by:
High initiative and personal drive
Self-sufficiency and resourcefulness
Strong problem-solving skills and ownership of solutions
We are looking for someone who embodies these qualities and is motivated to grow with the team.
At General Motors, you will help design the propulsion systems powering the vehicles of tomorrow. You will collaborate with talented engineering teams, use industry‑leading tools, and have opportunities to grow your career through impactful work and continuous learning.
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
]]>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:
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
What You’ll Do
Your Skills & Abilities (Required Qualifications)
What Will Give You a Competitive Edge (Preferred Qualifications)
Connectivity plays a pivotal role in using and advancing technology to offer unparalleled customer experience and develop revenue generating streams while acting as a cornerstone to offer safety critical, hands-free driving solutions in line with General Motor’s strong safety culture. We are seeking a highly skilled and motivated Connectivity Hardware Engineering Manager to join our team, focused on developing best-in-class automotive connectivity systems. The ideal candidate will have hands-on experience in end-to-end ECU hardware development, including sourcing, cost management, and supplier coordination, for wireless Connectivity telematics modules to ensure hardware meets performance, cost, and timing targets throughout the program life cycle.
Role Summary
The Engineering Manager, Connectivity Hardware will lead a small team of hardware Design Release Engineers responsible for the sourcing, and change management of connectivity telematics modules across all GM vehicles and architectures. This includes managing BoM and Tier‑N compliance, ensuring delivery of program‑specific ICD/ICDm, DFMEA, CTRS specifications, and leading hardware packaging and integration of the ECU into vehicle platforms.
This role is tightly coupled to cross-functional teams, including vehicle integration, product management, and system engineering, to create secure and reliable connectivity solutions and assist in defining future technology roadmaps and resolution of issues that arise throughout development and production. This role will also work closely with Global Purchasing & Supply Chain, Contract Manufacturers, and validation teams to ensure production readiness and robust launch performance.
The ideal candidate combines strong people leadership, deep hardware design and test experience, and a solid understanding of wireless technologies used for Connectivity.
Lead a small team of execution engineers focused on development and release of Connectivity hardware modules.
Drive specification development for all Connectivity components (performance, RF, power, security, regulatory, vehicle interfaces, etc).
Own sourcing, Engineering Change Requests (ECR), and alignment with Product Cost Engineering activities for Connectivity Hardware solutions.
Lead vehicle packaging and integration of the Connectivity Hardware into vehicle platforms, ensuring mechanical, thermal, and EMC constraints are met while maintaining connectivity performance targets.
Manage program-specific interface control documents (ICDe/ICDm) and other component level specifications, ensuring alignment with system, software, and vehicle requirements.
Maintain the ECU Bill of Material (BoM) and coordinate Tier‑N resiliency activities, including design reviews, timing alignment, risk tracking, and issue resolution.
Manage Contract Manufacturer engagement for ECU builds, ensuring correct configuration, build readiness, and timely delivery of hardware for development and production.
Execute and complete production approval activities for Connectivity Hardware ensuring all required documentation, test evidence, and regulatory approvals are in place for production release.
Develop and maintain the program DFMEA in collaboration with internal teams and suppliers, driving mitigation actions and continuous improvement for field robustness.
Coordinate prototype, DV, PV, and launch hardware builds with suppliers and internal teams, ensuring configuration control, issue tracking, and timely resolution of findings.
Coordinate hardware issue resolution with hardware design experts to ensure issues are quickly triaged, root-caused, and resolved.
Support hardware bring-up and in vehicle system test plan development and execution to ensure component and in-vehicle performance meet specifications.
Ensure Connectivity Hardware design documentation meets applicable safety, EMC/EMI, cybersecurity, and regulatory requirements, through working with domain experts.
Align closely with cross functional teams from Product, Software, Quality, and Vehicle Teams on feature roadmap and development status.
Report to senior leaders on Connectivity Hardware status, supplier readiness, cost and timing risks, and required escalations.
Bachelor’s degree in Electrical Engineering, Computer Engineering, or related field.
8+ years of experience in hardware development for automotive, consumer electronics, or related industries.
Experience with GM processes for sourcing, part release, and ECRs.
Demonstrated ownership of hardware from concept through launch, including supplier engagement and cross-functional alignment.
Strong communication skills with experience presenting technical content and trade-offs to leadership.
Master’s degree in Electrical Engineering, Computer Engineering, or related field.
2+ years of experience in a technical leadership or people manager role (formal or strong matrix leadership).
#LI-JK3
The DRE will lead cross-functional development activities from concept through launch, working closely with Design Studio, Program Management, Purchasing, suppliers, Validation Engineering, Tire Development, Vehicle Development, and Vehicle Integration teams. This is an excellent opportunity to contribute to complex vehicle programs while developing expertise in wheel development, product engineering, and program release management.
This role offers the opportunity to influence vehicle design from concept through production while collaborating with a broad range of engineering, design, program, and supplier teams. The successful candidate will play a key role in delivering safe, high-quality, cost-effective tire and wheel systems for future vehicle programs.
Hybrid:
This role is categorized as hybrid. This means the successful candidate is expected to report to our Warren office three times per week, at minimum [or other frequency dictated by the business
]]>REQUIREMENTS: Bachelor’s degree in Computer Science, Electrical Engineering, or related field of study. Five (5) years of experience as a Senior Software Engineer, Staff Software Engineer or related occupation. OR Master's degree in Computer Science, Electrical Engineering, or related field of study. Two (2) years of experience as a Senior Software Engineer, Staff Software Engineer or related occupation. Two (2) years of experience in the following: Software development experience with system level software; C and C++; Network Stacks; TCP/IP networking protocols; Network stack works including drivers through applications; Application-level protocols that are built on top of the whole network stack; Cellular baseband; Embedded operating systems and software; Cellular application-level control systems; and Linux IOS.
Compensation:
• The expected base compensation for this role is $260000 to $302400 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
Compute & Connectivity Hardware (CCH) is part of GM's Vehicle Software & Electronics Engineering (VSEE) organization within Software & Services Engineering. Our team develops the hardware foundation that powers GM's software-defined vehicles, including compute platforms, connectivity systems, networking architectures, displays, and other electronic technologies that enable infotainment, advanced driver assistance systems (ADAS), vehicle controls, and connected customer experiences.
From concept through production, CCH engineers drive architecture, requirements development, electronics design, hardware integration, validation, launch, and in-market performance. We partner closely with software, systems, cybersecurity, functional safety, manufacturing, suppliers, and vehicle engineering teams to deliver reliable, scalable hardware solutions across GM's global vehicle portfolio.
At General Motors, we're building a future with Zero Crashes, Zero Emissions, and Zero Congestion. As vehicle displays become increasingly central to the customer experience, we are investing in next-generation display technologies that enable higher performance, improved visual quality, and enhanced reliability for future vehicles.
We are seeking an experienced Display Panel Engineer (LCD) to join our Advanced Display Technology team. In this role, you will lead the exploration, development, and maturation of next-generation LCD panel technologies, with particular focus on TFT backplane architecture, pixel design, driver electronics, and halo artifact reduction.
This is a technology incubation and New Technology Introduction (NTI) role, responsible for advancing emerging LCD innovations from early concept through technical validation and readiness for future production programs. You will collaborate with leading display panel manufacturers, semiconductor suppliers, and cross-functional engineering teams to shape the next generation of automotive displays used in instrument clusters, center-stack displays, passenger infotainment systems, and other cockpit applications.
This role offers a unique opportunity to influence the future of automotive display technology. You'll work at the forefront of LCD innovation, partnering with industry-leading suppliers and internal engineering teams to develop the display technologies that will power GM's next generation of software-defined vehicles. Your work will directly shape the customer experience across future instrument clusters, infotainment systems, and cockpit displays used by millions of drivers worldwide.
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
]]>Role
As a Staff Software Engineer on the Validation Foundations and Acceleration team within the Autonomous Vehicle (AV) organization, you will play a key role in leading and developing complex behavior validation products such as the Behavior Validation Scorecard. This role combines strong product-facing responsibilities with technical expertise to ensure that validation tools meet the needs of engineering, safety, and product stakeholders.
You will build strong relationships with partner teams—including Embodied AI (EAI), safety, and product management—to align priorities and deliver impactful improvements. You will leverage data-driven approaches, such as Pareto analysis, to prioritize enhancements and implement solutions. Additionally, you will contribute hands-on technical work, including implementing solutions that connect the data pipeline to the UI seamlessly.
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
Build and maintain strong relationships with partner teams (EAI, safety, product) to align priorities and requirements.
Use Pareto analysis and other prioritization techniques to identify and implement improvements for validation dashboards products.
Collaborate with stakeholders to define roadmaps and success metrics for behavior validation tools.
Lead and implement technical improvements using Python and related technologies to accelerate feature development.
Ensure that validation products are scalable, reliable, and aligned with AV launch and release decision processes.
Your Skills & Abilities
Advanced degree in Computer Science, Engineering, or related fields.
6+ years of experience in systems engineering, software product development, or technical program management.
Strong ability to bridge technical and product domains, translating stakeholder needs into actionable solutions.
Proficiency in Python for prototyping and data analysis.
Experience with developing internal customer facing front end dashboards
Excellent communication and collaboration skills, with a proven ability to work across diverse teams.
What Will Give You a Competitive Edge
Experience managing complex validation or analytics products in safety-critical domains.
Familiarity with autonomous vehicle development, ADAS systems, or robotics.
Strong background in data visualization and reporting tools for communicating priorities and progress.
Demonstrated ability to drive cross-functional alignment and deliver impactful product improvements.
Experience with simulation environments and validation frameworks.
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
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.
]]>General Motors has a need for qualified Mechanical Journeypersons (Millwright). 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:
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.
]]>REQUIREMENTS : Bachelor’s degree in Computer Science and Engineering, Computer Engineering, Software Engineering or related field of study. Seven (7) years of experience as a Software Engineer, Software Developer, Junior Software Developer, System’s Analyst, or related occupation. Seven (7) years of experience with JVM languages, Java, Kotlin, SpringBoot; REST APIs; React and modern JavaScript libraries; HTML, CSS, Java Script and related web technologies; Cloud providers Azure, AWS, GCP; Architecture, design patterns, reliability, and scaling of new and existing system; Work in an agile development environment; Software design patterns, OO, data structures, and algorithms; and NoSQL and relational DB.
#LI-DNI
]]>This role is categorized as on-site. This means the successful candidate is expected to report to Headquarter building in Shanghai, China at least three times per week.
The Role -
To keep our Parts Release, Catalog Data accurate, identifying the new adds, changes and update our Systems database. This is an important task for Service Parts & Cataloguing data processing and management.
Collaborating on innovation challenges, interacting with Industry leaders, attending cross-functional networking meetings and interfacing several different Service Parts Release and Catalog Data processes that impact the dealers around the globe.
To keep our Parts Release, Catalog Data accurate, identifying the new adds, changes and update our Systems database. This is an important task for Service Parts & Cataloguing data processing and management.
Your Skills & Abilities (Required Qualifications)
Bachelor/Master degree;
Data analytics capability and familiar with relevant data analysis tools
General Motors is seeking a Principal Engineer to define the technical direction for next-generation camera systems supporting Viewing, Active Safety, ADAS, and automated-driving applications.
This role combines deep camera-system expertise with systems engineering, perception integration, supplier engagement, manufacturing readiness, and technical leadership. You will help establish scalable camera architectures, improve engineering rigor, and guide products from concept through production.
What you will do
Key outcomes
What you bring
Preferred experience
How you will lead
You will bring technical depth, systems thinking, sound judgment, transparent decision-making, and a commitment to developing people and reusable engineering capability. You will balance near-term program execution with long-term technology and platform development.
]]>The LMS/WMS Intern will support Lean Material Strategies by analyzing warehouse and material-flow processes, improving WMS data accuracy and standard work, and helping translate operational needs into practical process and system improvements. The intern will work with cross-functional partners to improve inventory visibility, material availability, space utilization, and line-side delivery performance, additional special projects in the safety and technology space will be assigned.
The Team:
The Lean Material Strategies team develops scalable material-handling, warehouse, and digital solutions that support safe, efficient, and reliable manufacturing operations. The team partners with plants, supply chain, manufacturing engineering, and information technology to standardize processes, improve material flow, and enable data-driven decisions through warehouse management system capabilities.
What You’ll Do:
Required Qualifications:
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., 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 minimum or other frequency dictated by the business.
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.
]]>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.
The 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
Your Skills & Abilities (Required Qualifications)
What Will Give You A Competitive Edge (Preferred Qualifications)
What You'll Bring
#LI-SB3
]]>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
]]>
General Motors is seeking a software engineering leader to modernize and scale the build systems that support software-defined vehicles. This role will help lead the transition from a legacy Make-based system to Bazel, Google’s open-source build tool, improving speed, reliability, and robustness across the engineering organization.The successful candidate will drive this capability at scale, influence technical direction across teams, and help establish lofty platform capability goals.
What You'll Do:
Key Deliverables
Measures of Success
Your Skills & Abilities (Required Qualifications):
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, 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.
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
The range for this role is 201,000 and 400,000. 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.
]]>Software-defined vehicles mark a fundamental shift toward safer, smarter, and more sustainable transportation, with software serving as the core engine for data processing, security, and user experience. For businesses, these advanced software capabilities offer critical operational advantages, including higher efficiency, reduced costs, and improved safety and decision-making.
Leveraging its global reach as a leading OEM, General Motors controls both in-vehicle and cloud software to deliver integrated solutions for fleet management, logistics, and energy optimization. To advance this initiative, GM is actively hiring in Silicon Valley and Austin, seeking mission-driven talent focused on customer-centric technology and sustainability to build next-generation commercial fleet platforms at scale.
As an Engineering Manager , you will lead the team responsible for building, scaling, and maintaining GM’s Commercial eCommerce platform. You will drive the technical roadmap, translate business and functional requirements into robust systems, evaluate emerging technologies, and oversee end-to-end delivery—from scoping through production issue resolution—across critical monetization domains, including product catalog, billing, and payments.
In this role, you will partner closely with cross-functional leaders in Product Management, Design, and Business to deliver foundational platform services that empower product teams across GM to launch and monetize their product rapidly.
REQUIREMENTS: Bachelor's degree in Software Engineering, Computer Science, Electronic Engineering, Electrical and Electronics Engineering, Mechanical Engineering, or related field of study and Five (5) years of experience as a Software Engineer or related occupation OR Master's degree in Software Engineering, Computer Science, Electronic Engineering, Electrical and Electronics Engineering, Mechanical Engineering, or related field of study and Three (3) years of experience as a Software Engineer or related occupation. Three (3) years of experience with: Writing and debugging C/C++ and MATLAB Simulink; Developing embedded software architecture; Software configuration management processes and tools Git and GitHub; and Development on SIL/HIL and other virtual environments.
#LI-DNI
]]> 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 Mechanical Design & Analysis Engineer (MDAE) - Controller leads the development of the electronic controller packaging requirements and mechanical design of the electronic control module. The MDAE provides technical guidance to the electronic controller supplier for thermal and mechanical design, as well as the validation test plan and flow to ensure alignment with the controller environmental and durability requirements. The MDAE also works with the electronic controller supplier and GM Supplier Quality team to validate electronic controller manufacturing processes and equipment changes.
Key Responsibilities
Required Skills and Experience:
Preferred Skills and 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
]]>
COMMUNICATING:
TRAINING & DEVELOPING:
ASSIGNING WORK:
MONITORING & APPROVING GM RECORDS:
EVALUATING PERFORMANCE AND BEHAVIORS:
RECOGNITION:
REMOVING ROADBLOCKS & RESOLVING ISSUES/COMPLAINTS:
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.
]]>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.
We are looking for a Senior Product Manager to lead the strategy, definition, and development of one of the products within Automated Driving and Active Safety (ADAS). This role involves identifying market opportunities, driving product vision, strategies, and roadmaps within the ADAS team’s broader objectives. You will play a key role in GM’s vision of a world with Zero Crashes and our transformation to industry leadership in software & services.
Join GM and play a pivotal role in shaping the future of automotive safety and driving innovation in the ADAS domain.
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 the Warren Technical Center in Warren, MI or Milford, MI office three times per week, at minimum.
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
]]>We're looking for an engineering leader who still ships code.
You'll lead multiple teams building the business-critical platforms, integrations, and modernization programs behind how GM sources parts and delivers vehicles. You'll own the technical direction, the delivery, and the results.
You'll also change how GM builds software. You'll make AI coding agents a core part of how your teams plan, build, test, and ship, and you'll prove the impact with real metrics.
You'll stay hands-on: writing and reviewing code, debugging hard problems, prototyping, and working directly with agents. You'll bring Principal Engineer-level judgment to every design review, and you'll lead by example.
About the Team
The Order Fulfillment Software Factory builds GM's end-to-end software for two value streams:
We're driving GM's SaaS First, Cloud First, AI First direction, working alongside Purchasing and Order Fulfillment IT and GM's peer engineering, mainframe, and SAP factories.
REQUIREMENTS : Bachelor's degree in Mechanical Engineering, Mechatronics Engineering, Electrical Engineering, Software Engineering, Computer Engineering, or related field of study and Three (3) years of experience as a Software Engineer, SIL Software in the Loop Engineer, HIL Simulation & Integration Engineer, High Voltage Simulation Engineer, or related occupation. Three (3) years of experience with: Complex design of models with real time simulation; and HIL bench tools, including ETAS INCA, Lauterbach, CAN (CANalyzer or Vehicle Spy), and Python. Two (2) years of experience with: HIL design and integration; Modeling and testing electrical, short circuit, and fault scenarios; and Creating in model, the simulated sensors and actuators (voltage, current, temperature) and synchronizing the physical hardware with simulated plant models.
#LI-DNI
]]>About the Organization
General Motors is developing advanced driver assistance and autonomous driving systems designed to make personal transportation safer, more accessible, and more capable.
The Autonomous Vehicle Architecture and System Design team defines the technical foundations that allow sensing, perception, machine learning, simulation, and vehicle software to work together reliably across real-world conditions.
We are looking for an experienced Technical Lead Manager to lead the architecture and development of sensing-system evaluation capabilities. You will define how camera, LiDAR, and RADAR systems are characterized, simulated, integrated, and validated across the operational design domain. You will combine statistical analysis, empirical evidence, first-principles engineering, and software development to guide sensor architecture decisions and accelerate the delivery of safe, scalable autonomy systems.
This role offers broad technical influence. You will work across sensing, perception, machine learning, simulation, vehicle integration, data, safety, and program teams. You will also create the tools, workflows, and technical alignment needed to turn large-scale experiments into clear engineering decisions.
What you’ll do
Your skills and abilities (required qualifications)
What can give you a competitive advantage (preferred qualifications)
Working style and expectations
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.
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.
#LI-SA2
]]> 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.
REQUIREMENTS : Bachelor’s degree in Electrical Engineering, Mechanical Engineering, Computer Engineering, or related field of study. Two (2) years of experience as a Controls Systems Engineer, Controls Development Engineering, System Performance Engineer, or related occupation. Two (2) years of experience in the following: Embedded controls software; C, C++ programming; Auto Code Generation; and Matlab, Simulink, Python scripting.
#LI-DNI
]]>As a 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 expected to actively participate in the development of a commodity strategy, executing sourcing and negotiations, contribute to global material budget execution, and collaboration with suppliers and internal partners.
Work requires a demonstrated ability to function collaboratively, display initiative, an ability to assess options via analysis as well as a capability to exercise independent judgment and recommend plans of action for the larger commodity team.
What You’ll Do
Your Skills & Abilities (Required Qualifications)
What Can Give You a Competitive Edge (Preferred Qualifications)
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.
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.
]]>New Phd Graduate, 1-3 years experience, individual contributor
· Technical Expertise:
· Professional Skills:
· Additional Information: This position may be eligible for relocation benefits.
]]>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:
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) :
Your Skills & Abilities (Qualifications):
What Can 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 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 Programming, EIO/HWIO (Ethernet Input/Output Hardware Input/Output) Systems Engineering Team represents two of the eight Mech Infra Systems teams: the Mech Infra Programming System and the Controller Hardware System (EIO/HWIO); the other six are Diagnostics, Ethernet Communications, Non-Ethernet Communications, Power Management, Safety, and Cybersecurity. The Programming System owns the end-to-end strategy, requirements, flows, test automation, and recovery behavior that enable SDV ECUs to be safely, securely, and repeatably programmed and updated across development, manufacturing, service, and field environments.
The EIO/HWIO System defines and validates controller input/output capabilities—including sensing, actuation, diagnostics, I/O mapping, performance, and voltage-reference monitoring—to ensure controllers and Ethernet I/O devices operate reliably and are diagnosable. Together, these two systems represent complementary areas of Mech Infra SW: Programming manages how software is delivered and updated, while EIO/HWIO enables the controller-level interfaces through which the system interacts with physical devices. Programming also supports any previous electrical architectures such as VIP.
The Role:
General Motors is currently seeking a Staff System Engineer specializing in Mechatronic Flash Programming. This role will define, implement, and continuously improve flash-programming requirements, architectures, tools, and validation strategies for advanced mechatronic systems across GM vehicle programs.
The engineer will serve as a technical lead across development, manufacturing, over-the-air (OTA), and service programming environments. The role connects system requirements, embedded software, diagnostics, vehicle networks, programming tools, test automation, cybersecurity, and manufacturing execution to deliver reliable and efficient vehicle software updates.
What You'll Do (Responsibilities):
Your Skills & Abilities (Required Qualifications):
People Skills:
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
]]>The Role -
The Lead 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 guide a small team of interior designers, collaborate closely with UX/HMI, CMF, Studio Engineering, VSE, Product Planning, and Customer Research , and represent GM China Design in key reviews and clinics.
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
5+ 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 Summer Intern Researcher in Machine Learning for Automation to make meaningful contributions towards driving the development and deployment of advanced learning methods for intelligent robotic systems in manufacturing. This role requires deep technical expertise in machine learning and physical robotics combined with a desire to apply these methods to complex, real-world robotic challenges, supporting the development of next-generation automation and flexible production systems.
This summer internship will provide an opportunity to make meaningful contributions as part of a leading industrial research organization toward the future of intelligent automation at GM by enabling robotic systems capable of learning, adapting, and performing complex manipulation, processing, and assembly tasks in real-world production environments—unlocking new levels of flexibility, efficiency, and capability in manufacturing.
What You’ll Do:
Required Qualifications:
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., H1-B, OPT, STEM OPT, CPT, TN, J-1, etc).
The position is subject to export control restrictions and requires the successful candidate to be a U.S. Person (U.S. citizen, U.S. permanent resident, asylee or refugee).
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 minimum [or other frequency dictated by the business].
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.
]]>Join General Motors Research & Development as a Summer Research Intern supporting the Vehicle Defense Research group within the Safety, Engineering and Defense Research Lab. In this role, you will contribute to applied research, modeling and simulation, and technology development related to defense and military systems.
You will work with experienced researchers and engineers to evaluate current and emerging technologies, apply evidence-based analysis, and help translate research concepts into vehicle, system, and software applications for federal and defense customers.
This internship is designed for a graduate student who is interested in defense research, vehicle systems, modeling and simulation, autonomous systems, human-machine interaction, advanced powertrain and electrification, or related engineering disciplines.
The Role
As a Summer Research Intern, you will support research planning and execution across defense-focused modeling and simulation activities. You will collaborate with GM researchers, engineers, and external partners to conduct technical analyses, develop models or simulations, document results, and communicate findings.
You may contribute to projects involving:
The specific project assignment will depend on business needs, your academic background, and your technical interests.
What You’ll Do:
More About Who You Are
Required Qualifications:
Preferred Qualifications:
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 obtain a security clearance at that level.
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 minimum [or other frequency dictated by the business].
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.
]]>Improved cellular communication standards, e.g., 5G, and infrastructure supports make rich infotainment applications in vehicles more feasible. Yet the highly dynamic cellular connectivity makes it very challenging to provide consistent Quality of Experience (QoE) to GM customers. To this end, there is an immediate demand to improved system architecture and optimization mechanisms to maintaining service quality, especially under the highly dynamic cellular networks. Data-intensive applications under cellular networks are most easily affected by network performance fluctuations due to their exclusive demands for network resources. As a result, Cloud and vehicle system co-design will offer unique opportunities in guaranteeing user QoE.
What You’ll Do:
· Understand the current status of cellar network, including deployment and communication performance.
· Algorithm design to address QoE degradation as hinted by cellular communication performance issues, including latency reduction, service continuity, service smoothness and if necessary minimum QoE sacrifice.
·Vehicle and Cloud/Edge end-to-end system design in support of the design algorithms to ensure QoE.
· Implement and test an end-to-end system in GM test vehicles, demonstrating efficacy of the system design and algorithmic contribution. Actively document and potentially further improve ideas generated while working on the system.
· Extensively evaluate system performance using a data-driven approach with good test scenario coverage.
· Practice forward-thinking, be comprehensive in system and algorithmic design, foresee research challenges and proactively identify solutions.
Required Qualifications:
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., H1-B, OPT, STEM OPT, CPT, TN, J-1, etc).
The position is subject to export control restrictions and requires the successful candidate to be a U.S. Person (U.S. citizen, U.S. permanent resident, asylee or refugee).
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 minimum [or other frequency dictated by the business].
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.
]]>As the Accessory Supply Chain Team Lead, you will lead the team responsible for coordinating supply chain execution across accessory programs and suppliers. You will provide day-to-day direction, establish priorities, remove barriers, and ensure the team delivers against business objectives for customer, quality, service, responsiveness, people, product, and financial performance.
You will serve as a key liaison among purchasing, engineering, manufacturing, warehousing, logistics, program teams, and suppliers. The role requires strong leadership, sound judgment, and the ability to guide cross-functional teams through complex supply chain issues while minimizing impacts to vehicle production and accessory launch timing.
REQUIREMENTS : Bachelor's degree in Computer Science, Electrical Engineering, Mechanical Engineering, or related field of study and five (5) years of experience as a Product Owner, Product Manager, Business Analyst, or related role. Five (5) years of experience with the following: Software development lifecycles (SDLC); Product Lifecycle Ownership; Regulatory and Process Awareness Data-Driven Decision Making including A/B testing, product metrics, statistical analysis, and operational data interpretation; Understanding system architecture, integration points, and platform constraints; and Go-to
Market Execution including leading cross functional teams through launch.
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]]>What you will do (responsabilities):
Oversee the accurate and timely preparation, filing, and payment of tax returns across Pacific Cluster countries, including indirect taxes, corporate income tax, transfer pricing, and withholding taxes.
Manage multi-country tax obligations and ensure compliance with local, provincial, and municipal requirements across the cluster.
Lead interactions with tax authorities, manage audits, respond to information requests, and coordinate legal defense strategies when needed.
Reconcile tax accounts, ensure accurate tax impact recording in financial statements, and prepare reports for local leadership and global headquarters under IFRS and US GAAP.
Monitor the changing tax and regulatory environment across Pacific Cluster countries and assess the impact of new laws and rulings on business operations.
Drive process improvement, standardization, and automation within the tax function using ERP systems such as SAP and tax-specific tools.
Lead, mentor, and develop a small team while managing external consultants, auditors, agencies, and indirect stakeholders.
Your skills and abilities (required qualifications):
Bachelor’s degree in Public Accounting or equivalent.
Minimum of 5 years of experience in tax compliance, ideally within a multinational company or a Big Four firm managing complex multi-country operations.
Strong technical knowledge of tax compliance frameworks across Pacific Cluster countries, including indirect taxes, corporate income tax, and transfer pricing.
Experience working with US technical or corporate stakeholders and reporting requirements.
Proficiency in ERP systems such as SAP or Oracle, along with advanced Excel skills.
Advanced English and Spanish language skills for regional and global communication.
Demonstrated experience in process standardization across countries with different operating models.
Strong analytical skills, attention to detail, leadership abilities, and the ability to work effectively under pressure in a fast-paced environment.
What can you give a competitive edge (preferred qualifications):
Master’s degree or specialization in Taxation.
Experience implementing tax automation tools and driving process improvement initiatives.
Familiarity with international tax standards and cross-border transactions.
Previous experience in multinational environments with a strong corporate profile and exposure to American business culture.
Experience leading small teams (2–3 people), including indirect team leadership and agency/vendor management.
Proven ability to adapt, build relationships with senior leaders, and influence across functions and countries.
Proactive leadership style, with strong people development capabilities and the ability to connect effectively with other leaders.
Experience supporting regional scopes within Latin America, ideally including Pacific Cluster countries.
Knowledge of the Colombia market is a plus.
Responsabilidades:
Lidera uma equipe de profissionais de segurança para apoiar um site e / ou região na implementação de processos de segurança;
Suporte direto à liderança da planta no processo do cumprimento regulatório e corporativo;
Desenvolve uma direção estratégica valiosa que impulsiona a execução bem-sucedida da implantação da estratégia global de segurança no local de trabalho no local / país / região;
Responsável por conduzir a execução bem-sucedida dos planos de ação anuais da GWS nos locais, fornecendo aos recursos da GWS do local uma orientação, educação e ferramentas claras para que sejam eficazes como busters de bloqueio para suas respectivas funções, exigindo que os requisitos regulamentares locais / regionais e os requisitos da GM sejam compreendidos, implementados e avaliados em todos os sites liderados;
Parceiros com seus pares para compartilhar e demonstrar boas práticas em seus sites, dão suporte à liderança de operações do site, desenvolvem e educam relatórios diretos e outras funções-chave do GWS nos sites;
Reúne-se com representantes sindicais e trabalha na resolução de problemas;
Auxilia ou dirige a resolução de violações ou citações de segurança do governo;
Executa outras tarefas conforme atribuído.
Requisitos mandatórios:
Formação superior em Engenharias;
Inglês intermediário;
Experiência anterior com liderança de times;
Especialização ou certificações em Segurança do Trabalho;
Experiência prévia em Segurança do Trabalho, atuando com gestão de riscos, programas legais e liderança de equipe ou de projetos;
Conhecimento das NRs e demais legislações de SST aplicáveis ao segmento da empresa;
Registro ativo no conselho (CREA/CRQ/CRBio - Conforme formação).
Requisitos desejáveis:
Pós-graduação em Engenharia de Segurança;
Cursos em NRs, ISO 4500;
Inglês avançado;
Experiência com metolodogias de Cultura de Segurança (BBS (Behavior-Based Safety), Hearts & Minds, HOP (Human and Organizationl Performance);
We are looking for a highly motivated individual contributor to fill roles across the Mechatronics Hardware domain, and a desire to work as a Design Release Engineer (DRE). This role will support a broad range of mechatronics devices across our portfolio of vehicle sensing, vehicle access, chassis, and propulsion electronic device hardware.
Broad technical knowledge combined with creative and independent thinking are needed to be successful in this role.
This DRE will be responsible for the design, development and release of requirements, hardware and validation for in-cabin sensing, driveline and transmission controllers, engine and high voltage electronics (VICM/BECM/ECM/PCM), and/or vehicle access control hardware.
This DRE will implement relevant component release strategies supporting the GM Vehicle Intelligence Platform and Software Defined Vehicle product roadmaps.
This DRE performs complex assignments requiring a wider application of principles, theories, and concepts.
Oversee design and validation for mechatronics hardware calibrations, and application software.
Run Product Development Team (PDT) meetings to coordinate the development and integration of the [insert component/system] into the vehicle.
Support DFMEA development and updates.
Create and maintain Interface Control Document (ICD) strategy and ICD templates.
Author Engineering Work Orders to release the components for prototype and production vehicles.
Prepare timing plans that ensure all program requirements and MRD dates are met.
Troubleshoot component and vehicle level issues utilizing the Problem Resolution Tracking System (PRTS-Jira).
Generate and maintain Component Technical Specifications (CTS) for mechatronic devices.
Close the Loop on learnings by updating required information (Best Practices, GM Specifications, Statement of Requirements, Template, etc.).
Work cross-functionally within GM, coordinating multiple suppliers.
Lead/manage supplier resident engineers.
Support sourcing activities, including creation of Statement of Requirements (SOR), Request for Information (RFI), and Statement of Development Work (SODW).
Generate technical solutions for new vehicle programs.
Perform complex design analysis.
Initiate documents to provide engineering authority and to maintain math/CAD data.
Work with engineering functions, suppliers, plant personnel, and others to implement cost reduction, methods, and product improvements, and to support build programs.
Master's degree in Engineering
Experience with Component Statement of Requirements (SOR) and Component Technical Specification (CTS) development
Experience with automotive PPAP (Production Part Approval Process) quality processes
Experience with "DRE Essentials" methods and tools
Experience in balancing and mitigating risks with projects, suppliers, quality, and production
DFMEA training
DFSS Black Belt Certification, Red X, and/or OpEx experience
Design/Development of Safety Critical Systems/Components
Prior experience negotiating contracts
Prior experience working with build-to-print suppliers
Prior experience working with Corporate Common Components (CCC)
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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 job may be eligible for relocation benefits .
The Role:
Responsible for controls engineering support of a vehicle assembly facility and manufacturing processes in 2nd shift, where a considerable amount of creativity and initiative is exercised as well as a high level of independent judgment. May oversee or exercise technical direction over other engineers, engineering support personnel, contractors, or skilled trades personnel to achieve project or manufacturing objectives.
What You'll Do:
Work Schedule
Your Skills and Abilities (Required Qualifications):
What Can Give You a Competitive Edge (Preferred Qualifications):
Work Arrangement:
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 Energy & Water Optimization Leader is responsible for driving enterprise energy and water reduction initiatives across manufacturing operations. This role leads the identification, development, and implementation of conservation strategies, operational excellence programs, and capital projects that reduce utility consumption, improve sustainability performance, lower operating costs, and support decarbonization objectives. The position serves as the primary liaison between corporate energy strategy teams and plant operations.
What You’ll Do
Energy & Water Optimization Strategy
Project Development & Execution
Plant Engagement & Operational Excellence
Performance Management & Analytics
Cross-Functional Collaboration
Your Skills & Abilities (Required Qualifications)
What Will Give You A Competitive Edge (Preferred Qualifications)
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.
Your Skills & Abilities (Required 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 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.
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]]>We are seeking a principal systems engineer to join the AV Sensing Design team to lead the technical direction of lidar technology from system-level decisions as part of multi-modality sensing suites through to detailed evaluation of production paths.
As a recognized authority on lidar technology, you will leverage your deep technical expertise to drive the technology path on optical path, signal processing, calibration, failure modes and own the trajectory of how lidars integrate with our autonomy products to achieve performance and cost-effective programs. You will work directly with component, Perception, localization, simulation, and vehicle teams to see performance and efficacy be realized on consumer vehicles.
What You’ll Do
You will get the opportunity to be part of the following:
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.
Benefits:
Our team is integral to achieving GM’s vision of Zero Emissions, Zero Crashes, and Zero Congestion. In this role, creativity, initiative, and independent judgment are involved, and effective cross-organizational teamwork is needed. You’ll bring your knowledge and background to help us meet our goals and continue GM’s future success!
Responsibilities:
Key Competencies:
Required Skills and Experience:
Preferred Skills and Experience:
We're a bold, creative crew of designers and strategists embedded in GM Industrial Design, where innovation meets imagination. We specialize in visual storytelling powered by cutting-edge graphics, AI, and design thinking—turning brand values and market insights into visuals that move people.
The Team:
GM’s Industrial Design organization brings together a global community of designers, makers, and creative technologists who shape the physical and digital character of GM vehicles and customer experiences. Working across disciplines and studios, teams move ideas from research and 2D concepts through digital and physical development into compelling experiences for GM’s portfolio of brands. As an intern, you will learn in a collaborative, feedback-driven environment while partnering with designers, engineers, suppliers, and fabrication experts to explore how form, color, material, finish, graphics, and technology come together.
We are hiring interns in Industrial Design across two focus areas for Summer 2027:
Brand ID + Product Design Intern:
This role will support the development of distinctive vehicle accessories and graphics by turning creative 2D concepts into compelling 3D applications. Projects may include accessory badges and emblems, decals and wrap graphics, wheel and exterior details, branded charging/cargo/utility accessories, and explorations of material, finish, scale, and placement. The intern will also create physical or digital prototypes to support design reviews and bring ideas to life on the vehicle.
Colors, Materials, Finish (CMF) Intern:
This role will support the design of future vehicles through research and development in color, materials, and finish. Projects may include exploring CMF trends, developing color and material palettes, researching sustainable and innovative materials, and defining textures, gloss levels, patterns, and surface treatments for interior and exterior applications. The intern may also create physical and digital samples, support prototype development, collaborate with suppliers, and prepare visual presentations for design reviews.
What You’ll Do:
Please note, you must submit a portfolio to be considered for this position – see instructions below.
Required Qualifications:
• Pursuit of a bachelor's or advanced degree in Industrial Design, Product Design, Interior Design, Graphic Design, CMF, or related creative discipline.
• Must be graduating between December 2027 and May 2029.
• Able to work full-time, 40 hours per week during the summer months.
Preferred Qualification
• Knowledge of AI programs such as Vizcom and Midjourney.
• Knowledge of VRED, Adobe Suite (Illustrator, Photoshop), Alias, Blender
• A sharp eye for what's next, bringing trend-savvy taste, techniques, and cultural awareness to inspire the studio and maintain a creative edge.
• Strong analytical skills and attention to detail.
• Strong interpersonal skills and the ability to work both in teams and independently.
• Excellent communication skills.
• Dependability.
• Strong organizational and project-planning 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:
Onsite: This role is categorized as onsite. This position requires the employee to report to the GM Design Center in Warren, MI, 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 if you are selected, please apply using the permanent address you would move from.
Start Dates:
Start dates for this internship role are May & June of 2027.
Compensation:
Eligible students selected for the 2027 Student Program may receive the one-time taxable stipend described above.
What You’ll Get From Us (Benefits):
• Paid U.S. GM Holidays
• GM Family First Vehicle Discount Program
• Result-based potential for growth within GM
• Intern events to network with company leaders and peers
Portfolio Submission Instructions:
We strongly encourage you to include a link to your online portfolio in the "website" section of your application or directly on your resume. This allows us to easily access larger files and view your work in its intended format.
Please do not submit Dropbox files or Google Docs.
DISCLAIMER: The works included in your career portfolio must not be subject to any nondisclosure and/or confidentiality agreement. If the works in your career portfolio are owned by your current or former employer, or by any other third party, there must be express written consent from the owner allowing the works to be included in your career portfolio for sharing with General Motors ("GM"). By sharing your career portfolio, you grant to GM the right to quote, paraphrase, reproduce, distribute, or otherwise use all or any portion of the career portfolio for purposes of making a hiring determination. By sharing your career portfolio, you also agree to release and discharge GM, and its licensees, successors, and assigns, from any and all claims, demands, or causes of action that you may have regarding any use of the career portfolio, including (but not limited to) any claims based on the right to privacy, the right to publicity, copyright, libel, defamation, or any other right.
]]>Your Skills & Abilities (Required Qualifications):
What Will Give You A Competitive Edge (Preferred Qualifications):
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.
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]]>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.
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]]>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.
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
]]>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
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):
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
]]>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
]]>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.
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
]]>As a Senior Cybersecurity Vulnerability Engineer, you will serve as a highly capable individual contributor responsible for designing, implementing, and improving cybersecurity capabilities that protect GM’s risk domains of people, products, partners, platforms, and production.
The successful candidate is a senior experienced professional who can independently assess complex vulnerability and exposure risks, translate threat intelligence and technical findings into actionable remediation priorities, and influence outcomes across infrastructure, cloud, application, manufacturing, and security stakeholder groups. The senior engineer will have significant functional impact through risk-based decision-making, operational leadership, and mentorship of engineers and remediation partners.
You will solve diverse, non-standard security problems; translate broad challenges into implementable initiatives; and drive delivery across teams through technical leadership, sound judgment, and influence. This role has significant operational impact across the cybersecurity organization that serves as a mentor and resource for other team members.
What You'll Do:
Lead engineering, operational improvement, and continuous maturity of GM Vulnerability Management core services across enterprise infrastructure, client endpoints, multi-cloud, and AI security threat exposure domains.
Serve as a senior individual contributor for Enterprise Data Center Infrastructure vulnerability management, including server, endpoint, network, virtualization, patch coordination, exception handling, on-prem asset hygiene, and remediation prioritization for critical infrastructure.
Drive client endpoint vulnerability management by reducing endpoint risk through continuous detection, patching, browser and software update compliance, control enforcement, and remediation guidance across corporate and manufacturing endpoint environments.
Lead multi-cloud vulnerability management across Azure, AWS, and GCP, including workload exposure, misconfiguration correlation, cloud VM risk, container image and runtime exposure, and cloud-to-business criticality mapping to support risk-based remediation.
Build and mature AI security threat vulnerability management capabilities for AI workloads, model supply chain risk, prompt injection, data leakage, agent permissions, tool-use guardrails, model and runtime control validation, and secure rollout patterns for internal AI capabilities.
Correlate scanner findings with asset, business, network, telemetry, identity, threat-intelligence, and SBOM context to improve prioritization accuracy and focus remediation on exposures most likely to create business risk.
Apply threat intelligence and exploitability analytics, including exposure context, attack-path factors, and evidence of exploitation, to move prioritization beyond severity-only scoring.
Partner with infrastructure, endpoint, cloud platform, manufacturing, application, and Security Fitness stakeholders to convert findings into actionable remediation plans, drive accountability, and accelerate closure of urgent, critical, and high-risk issues.
Support and improve Vulnerability core functions including asset discovery and inventory, vulnerability scanning and assessment, threat intelligence and risk context, prioritization and risk scoring, remediation and patch coordination, exception management, reporting, dashboards, governance, integration, automation, and continuous improvement.
Contribute to workflow integration and automation across detection, security unification tools, automated patching orchestration, and related platforms, while maintaining appropriate guardrails and human approval for meaningful changes to critical environments.
Provide technical leadership, mentoring, and consultative support to less experienced engineers and aligned remediation owners.
Protect sensitive company, employee, and customer information and consistently operate in alignment with GM values, behaviors, and policies.
Your Skills & Abilities (Required Qualifications):
Bachelor’s degree in Cybersecurity, Computer Science, Engineering, Information Technology, or a related field, or equivalent practical experience.
Significant professional experience in cybersecurity engineering, vulnerability management, security operations, cloud security, infrastructure security, or related domains.
Proven expertise in Enterprise Data Center Infrastructure vulnerability management, including servers, network-attached infrastructure, virtualization, patch coordination, exception handling, and remediation prioritization for enterprise environments.
Proven expertise in client endpoint vulnerability management, including endpoint controls, patching, software and browser update compliance, detection coverage, and remediation at scale.
Proven expertise in multi-cloud vulnerability management across Azure, AWS, and GCP, including cloud workload exposure, misconfigurations, container image and runtime risks, and risk-based remediation workflows.
Proven expertise in AI security threat vulnerability management, including AI workload inventory, model supply chain risk, prompt injection, data leakage, model misuse, agent abuse scenarios, runtime behavior review, and control validation.
Experience correlating vulnerability findings with business, asset, identity, telemetry, network, SBOM, and threat-intelligence context to support risk-based prioritization and exploitability-focused decision-making.
Experience with enterprise vulnerability management platforms, scanners, and workflow tooling such as Qualys, Tenable, Wiz, ServiceNow or comparable platforms.
Strong understanding of remediation governance, exception management, dashboarding, metrics, and continuous improvement within a mature vulnerability management program.
Demonstrated ability to work independently, exercise strong judgment, and deliver results with minimal guidance.
Proven ability to solve complex, ambiguous problems using structured analysis and innovative approaches.
Experience leading initiatives that span multiple teams, stakeholders, or technical domains.
Strong communication and influence skills, including the ability to present recommendations supported by data and analysis.
Commitment to protecting sensitive information, speaking up about risks, and operating with integrity.
Demonstrated ability to run an end-to-end vulnerability intelligence workflow for a high-profile CVE, from initial awareness through intelligence collection, environmental relevance scoping, contextual scoring, and tailored outputs for executive and technical stakeholders.
Strong judgment in risk-based prioritization beyond CVSS, including the ability to weigh EPSS, CISA KEV status, active exploitation, exploit maturity, asset criticality, internet exposure, and compensating controls to assign and defend a GM-specific priority.
Ability to assess exploitability when public information is incomplete by reasoning through attack complexity, required privileges, user interaction, environmental preconditions, and the effectiveness of the control stack, then updating recommendations as PoCs and tooling emerge.
Experience mapping newly disclosed vulnerabilities to complex enterprise environments spanning multiple operating systems, cloud platforms, infrastructure, and third-party products using CMDB, scanner outputs, SBOMs, cloud inventories.
Strong written and verbal communication skills for producing high-quality vulnerability briefs that clearly summarize impact, affected assets, exploit likelihood, recommended actions, and remediation timelines for different audiences.
Experience designing or improving a vulnerability intelligence pipeline, including source ingestion, normalization, deduplication, enrichment with internal context, scoring, and publishing into tickets, dashboards, SOC workflows, and leadership updates.
Proven ability to respond to high-impact 0-days in critical third-party products by rapidly validating noisy intelligence, scoping exposure, recommending interim mitigations, and structuring updates during the first 24 to 72 hours.
Ability to reconcile conflicting vulnerability data across vendors, scanners, commercial feeds, internal observations, document rationale, and establish a defensible environment-specific rating.
Experience defining and using leadership metrics and dashboards that combine scanner, CMDB, ticketing, and threat-intelligence data to track remediation urgency, business exposure, and time-to-remediate.
Strong partnership skills with SOC and incident response teams to translate vulnerability intelligence into targeted detection, containment, remediation, and post-incident scoring improvements.
Technical depth to interpret exploit code, TTPs, and attacker tradecraft when needed, and adjust recommendations when practical exploitability differs from initial assumptions.
Knowledge of the regulatory landscape and intricacies related to industry cybersecurity standards and best practices (examples include: NIST CSF, SSDF, NIST 800-53, ISO 270001/2, ISO/IEC 15.x.x, NHTSA Best Practices, ISO/SAE 21434, SOC2, etc) and state privacy laws
Experience with policy/standard process creation and acceptance
What Will Give You A Competitive Edge (Preferred Qualifications):
Experience in large-scale enterprise, automotive, manufacturing, mobility, or regulated environments.
Relevant certifications such as CISSP, CISM, CCSP, GIAC, AWS Security, Azure Security, or equivalent.
Experience with cloud platforms, DevSecOps, security automation, detection engineering, threat modeling, incident response, or vulnerability remediation.
Experience influencing strategy, operating models, and process improvements beyond an immediate team or project scope.
Expertise in managing and leading complex projects and assignments with a high degree of autonomy, confidentiality, and accountability for results
Ability to work independently with minimal supervision
Operate with high level of time management and prioritization skills.
Must be comfortable working with and at times, managing Senior Leaders and Executives within the organization
A proven & successful track record in navigating cross functional teams to achieve desired results in a highly matrixed organization.
Hands-on Linux and Windows security administration experience
#LI-SB3
]]>The AI Quality and Productivity team in the Product Validation, Safety and Quality IT org is responsible for empowering Quality and Warranty 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 Senior Software Engineer, you will be responsible for developing data intensive and AI-enabled software applications that support Product Development engineering teams. You will work with complex data requirements and deliver solutions using industry standard practices across SQL, Databricks, and modern programming languages such as Java 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.
This role offers the opportunity to advise, coach, and mentor other software engineers while shaping how engineering teams access and use data and AI. You will help define patterns and best practices for SQL, Databricks (DBX), and AI/ML integrations within VEQ and play a key role in ongoing modernization and cloud initiatives.
Design, develop, and maintain data driven and AI-enabled applications and services that support Product Development and Quality teams.
Write high-quality, performant SQL (queries, functions, stored procedures) for complex data transformations and modeling across enterprise data platforms (e.g., SQL Server, Oracle, PostgreSQL).
Build and optimize data pipelines and workflows in Databricks (DBX) and related tools to support batch and near real-time data processing.
Develop backend services and APIs in Java and/or Python that integrate data, business rules, and user workflows into robust, reusable components.
Develop enterprise grade applications using Kubernetes/Docker, Quarkus, Java, Angular, PostgreSQL, and other GM approved tools.
Partner with data science and AI teams to productionize AI/ML and LLM based solutions, including feature pipelines, inference integrations, monitoring, and continuous improvement.
Proactively identify and remediate issues related to code quality, patterns, performance, security, and data correctness, using code quality analysis tools and remediation techniques.
Lead or contribute to solution design, including architecture, patterns, and technology choices aligned with GM standards and Statement of Technical Direction.
Apply and champion software engineering best practices, including code reviews, automated testing, branching strategies, CI/CD pipelines (e.g., GitHub Actions), observability, and secure coding practices.
Collaborate with cross-functional teams (product owners, data engineers, architects, business stakeholders) to refine requirements, define acceptance criteria, and deliver incremental value in an Agile/SCRUM environment.
Troubleshoot and resolve production issues across the full stack (data, application, infrastructure), driving root cause analysis, stable fixes, and clear documentation.
Navigate complex corporate processes to remove project roadblocks and keep delivery on track.
Provide guidance and mentoring to fellow software engineers and team members, helping grow skills in SQL, Databricks, cloud, and AI related technologies.
Document software and data solutions and ensure technical documentation meets GM standards and can be leveraged across Product Validation, Safety and Quality teams.
Bachelor’s Degree in Computer Science, Software Engineering, Information Systems, Engineering, or a related field, OR equivalent experience.
6+ years of experience delivering enterprise or full stack software solutions using Java / JEE, Python , and preferably Angular .
3+ years of experience working with complex SQL queries, functions, and stored procedures, including performance tuning and optimization against large datasets.
Experience building or supporting data pipelines , ETL/ELT processes, or datacentric applications on distributed or cloud platforms (e.g., Databricks, Spark , or similar).
3+ years of experience with Kubernetes/Docker, Quarkus , and cloud platforms such as Azure, AWS , or GCP .
Experience working in Agile/SCRUM development methodologies, including backlog refinement, sprint planning, and incremental delivery.
Hands on experience with modern DevOps practices such as Git/GitHub, code reviews, automated builds, automated testing, and CI/CD pipelines (e.g., GitHub Actions).
Willingness and demonstrated ability to learn and apply AI concepts , including working with data and APIs that support AI/ML and LLM based solutions.
Strong problem solving skills with the ability to break down complex technical and data challenges into clear, actionable steps and deliver high quality solutions.
Excellent written and verbal communication skills with the ability to collaborate with both technical and nontechnical stakeholders.
Demonstrated ownership mindset, accountability for quality, and focus on delivering measurable value to internal customers.
Master’s Degree in Computer Science, Engineering, Information Systems, or a related field.
10+ years of experience delivering enterprise grade or global, scalable software applications , including data intensive or analytics focused solutions.
Deep hands on experience with Databricks (Delta tables, notebooks, jobs, workflows) and/or Spark for data engineering, analytics, or AI workloads.
Proven experience migrating applications and complex data workloads to Azure or other cloud platforms, including use of managed data, messaging, and API services.
Experience working with or supporting AI/ML initiatives (e.g., feature engineering, model integration, AI/LLM service integration, monitoring, and ML Ops concepts).
Knowledge of relational and dimensional data modeling, data quality practices, metadata management, and data governance in an enterprise environment.
Experience with observability and reliability practices (logging, metrics, tracing, dashboards, alerting, SRE concepts) for data and application services.
Demonstrated ability to influence technical direction, establish reusable patterns and standards, and mentor less experienced engineers.
Ability to manage multiple initiatives and priorities in a fast-paced environment while maintaining high engineering standards.
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:
This role is categorized as hybrid. This means the successful candidate is expected to report to the Sunnyvale or Mountain View office 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
REQUIREMENTS: Bachelor’s degree in Electrical Engineering, Mechanical Engineering, Computer Engineering, Computer Science, or related degree. Two years of experience in the job offered or related engineering position. Two (2) years of experience with: embedded controls or controls software development; Simulink, MATLAB; and controls software development in C programming. Must also have one year of experience with: plant modeling and/or analysis tools; and system Modeling and Simulation including Software, Hardware, Model in-the-loop.
#LI-DNI
]]>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
]]>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 Senior Software Engineer – Connectivity Software Verification, you will ensure the quality, reliability, and performance of GM’s connected vehicle features, including Digital Key, Bluetooth, telematics, network connectivity (WLAN, VLAN), and in-vehicle networking stacks. You will act as a technical leader on the verification side, collaborating closely with embedded software, systems, architecture, and validation teams to define test strategies, build robust automation, and drive issue resolution across the full connectivity stack. This role is ideal for an experienced individual contributor who is hands-on with test design and implementation, comfortable working in complex, distributed systems, and passionate about delivering seamless connected-vehicle experiences to our customers.
Hybrid
This role is categorized as hybrid. This means the successful candidate is expected to report to their assigned GM location (Warren, MI) three times per week, at minimum.
]]>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.
REQUIREMENTS: Bachelor's degree in Electronic Engineering, Automotive Systems Engineering, Mechatronics Engineering, Mechanical Engineering, Electrical Engineering, Software Engineering, Computer Engineering, or related field of study and Three (3) years of experience as an Application Engineer or related occupation. Two (2) years of experience with the following: Integration of Software-in-the-Loop (SiL) co-simulations, including virtual ECU models, sensor/actuator/plant or system physics models for conventional internal combustion engine or hybrid electric vehicle propulsion systems; Embedded C and Python; MATLAB and Simulink in context of plant model development and integration; GT-Power and AMESIM; Embedded controls software and automated software build processes, including gcc compiler, gdb debugger, Eclipse, Jenkins, and ETAS INCA tools; Automotive communication technologies, such as CAN, LIN, and SPI; Modeling of Hybrid Vehicle Systems, including mechatronic subsystems, in Simulink, Simscape, or GT-Power; and Debug/deploy subsystem models as system-level simulation components.
#LI-DNI
]]>We're looking for a Senior Design Engineer to help evolve and scale our enterprise design system for the web. In this role, you'll collaborate with designers, engineers, and platform teams to build accessible, performant, and reusable components that power consistent experiences across multiple products and platforms. You'll also contribute to the processes, tools, and standards that enable design excellence at scale, including establishing the patterns and infrastructure needed to support AI-assisted design and development workflows.
Develop and maintain a scalable design system authored in Stencil and distributed as framework-agnostic Web Components.
Extend the system to React and Angular consumers through framework wrappers and integration support.
Write semantic, accessible HTML aligned with WCAG and WAI-ARIA best practices, including keyboard navigation, focus management, and screen reader support. Ensure consistent behavior across browsers, devices, and assistive technologies.
Build modular, maintainable CSS for large-scale applications. Build flexible, reusable components with a focus on performance, accessibility, and self-documentation.
Translate Figma designs into production-ready code, collaborating closely with designers.
Contribute to design system documentation and to the coding standards and best practices that keep it consistent over time.
Work with engineering teams to integrate components into CI/CD pipelines and support robust testing (unit, visual regression, accessibility).
Explore and integrate AI capabilities into design system workflows, streamlining component generation, design token mapping, and automated documentation.
Make the design system consumable by AI coding tools and agents as easily as by people, publishing components, tokens, and usage guidelines in machine-readable formats with Storybook as the foundation.
A bachelor's degree in a technical or design related field, or work experience commensurate with education.
5+ years of experience working as a professional Design Engineer or Design Technologist.
Experience building or contributing to design systems or UI libraries. Strong experience with modern HTML, modern CSS architecture, vanilla JavaScript, and TypeScript (independent of framework abstractions).
Solid understanding of front-end architecture and strategies for scaling CSS in enterprise environments.
Deep knowledge of semantic HTML, WCAG, and ARIA accessibility standards.
Experience with progressive enhancement and performance optimization.
Experience with design tokens, Style Dictionary, or similar tools.
Hands-on experience or active experimentation with AI-enabled design systems, LLM context generation (e.g., custom instructions, rules, or system prompts for code assistants), or AI-driven UI workflows.
Experience building Web Components
Experience with React, Angular, or other modern JavaScript frameworks.
Experience building with Stencil.
Knowledge of testing frameworks (e.g., Jest, Playwright) and visual regression tools.
Curiosity for emerging front-end techniques and a passion for continuous learning.
Background in web design, design tooling, or collaborating heavily with design teams.
Vacancy Status:
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
Remote/Hybrid: candidates can be considered anywhere in the country of work, but if someone is within 80 KM of a hub, they are required to be onsite 3 days a week.
About the Team
The Simulation Scalability team builds the core systems, frameworks, and workflows that ensure simulation runs reliably, efficiently, and at scale. We work across all simulation products and pipelines, addressing systemic issues, improving release quality, and strengthening the foundations that enable teams to iterate quickly and confidently.
Our work spans systems architecture, software engineering, release management, and quality strategy , with a mission to increase reliability, throughput, and operational excellence across the entire simulation ecosystem.
What You’ll Do
Release Management & Quality Strategy
Lead improvements to the end‑to‑end simulation release process, ensuring it is predictable, well‑defined, and continuously improving.
Define and drive the simulation-wide quality and test strategy, including shift‑left testing, automated validation, and early‑signal integration.
Strengthen release readiness criteria, quality gates, and verification workflows across multiple simulation teams.
Partner with product teams to reduce regressions, shorten validation cycles, and ensure higher-confidence releases.
Scalability, Reliability & Stability
Improve the performance, stability, and reliability of simulation frameworks and core tooling used at scale.
Identify systemic bottlenecks in the simulation stack and deliver architectural improvements that increase throughput and reduce operational friction.
Enhance simulation exit codes, error attribution, and debugging workflows to improve diagnosability and reduce wasted compute.
Operational Excellence
Establish and enforce best practices for simulation incident management, improving resilience, recovery time, and overall operational readiness.
Improve signals, metrics, and monitoring patterns that help teams identify release-related issues earlier and more accurately.
Cross-Functional Leadership
Collaborate closely with simulation feature teams, infrastructure groups, and platform stakeholders to align on scaling needs, test coverage gaps, and systemic quality improvements.
Work backward from organizational-level problems to design solutions that raise simulation quality and reliability across all workflows.
Who You Are
We’re looking for engineers with depth in at least one of the following areas, and interest in growing across the rest:
1. Release Engineering & Quality Strategy
Experience improving release workflows, verification processes, or quality gates.
Ability to spot gaps in test coverage, validation workflows, or release signals and drive systemic improvements.
2. Systems & Solutions Architecture
Ability to analyze complex simulation or compute workflows and design scalable, maintainable solutions.
Skilled at identifying recurring failure patterns and eliminating systemic causes.
3. Software Development
Strong coding fundamentals with experience building production-quality services, frameworks, or tools.
Background improving reliability, performance, or developer experience in distributed systems.
We welcome candidates who bring strong expertise in one area and are eager to expand into the others.
Required Skills:
Proficiency in Python and/or C++
Experience with build and release management, including CI/CD
Strong software architecture skills, with experience building distributed systems
Experience supporting production systems and optimizing performance
Experience with release management systems and integration/regression testing
Strong hands-on coding and problem-solving abilities
Experience with incident management.
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:
REQUIREMENTS: Bachelor's degree in Computer Science, Electrical Engineering, or related field of study and Five (5) years of experience as a Software Engineer or related occupation. Five (5) years of experience with: Delivering embedded or system-level software in production environments; and C++ development. Three (3) years of experience with: Performance, UI/UX, and clean architectural design. One (1) year of experience with: Development in RTOS or infotainment contexts; CANoe, VehicleSpy, or other automotive debugging tools; and Android application framework or hybrid Android/RTOS integration.
#LI-DNI
]]>Duties and Responsibilities:
Interested individuals must meet the following minimum qualifications:
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 ($40.29 - $47.01) or Journeyperson rate of ($47.97 ). 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.
]]>Hybrid:
This means the successful candidate is expected to report to the Warren Technical Center , Warren MI or the Austin IT Innovation Center in Austin, TX 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.
The Role :
The Software Integration Quality Engineer in the Vehicle Update Services organization is responsible for ensuring that the end-to-end over-the-air (OTA) software delivery feature can reliably download and update vehicle software across millions of GM developed vehicles per year. You will utilize the Sub-System test bench environment to ensure that critical and complex features are properly developed and integrated into GM vehicles throughout major vehicle development milestones. The individual will develop a strong technical capability, a deep understanding of the SW integration process, solid program/time management skills, and will have many opportunities for multi-functional interaction with design, systems, suppliers, and back-office teams.
What You'll Do:
This position will play a critical role in ensuring that SW launches are On-Time and with Quality. The core responsibilities are detailed below:
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 is not eligible for relocation benefits. Any relocation costs would be the responsibility of the selected candidate.
What You’ll Do
Your Skills & Abilities (Required Qualifications)
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.
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.
SENIOR PROCESS ENGINEER – CASTING
The Role
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 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 for the production of castings.
What You'll Do
· Ability to work individually on specific programs yet collaboratively with Launch Team, QC, Design, Tooling, and other support groups
· Demonstrate technical knowledge of foundry processes and ability to apply concepts in a manufacturing environment
· 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)
· 3+ years of professional experience in a manufacturing environment
· Demonstrated knowledge of foundry processes and ability to apply casting concepts in a manufacturing environment
· 2+ years of professional experience in Low Pressure Die Casting, Precision Sand, Semi Permanent Mold or similar, tooling, process, quality, or project management experience.
· Knowledge of process engineering procedures and disciplines
· Basic knowledge of Magma, Flow 3D, simulation software
· Basic knowledge of NX or Catia or any 3D design software
· Effective and functional knowledge of aluminum chemistry, heat treat, metallurgical processes
· Demonstrated understanding of mechanical concepts involving machine design, process equipment, tooling, and secondary post processing
· BS degree (engineering, metallurgical, computer science) or equivalent experience is required
What Will Give You a Competitive Advantage (preferred qualifications)
· Training in aluminum metallurgy
· Prior experience in Low Pressure Die Casting, Precision Sand or Semi Permanent Mold
· Prior experience in injection molds
· Prior experience in castings or Giga/Structural castings
· Training in flow simulations ( Magma, Flow 3d)
· Training in 3D design software
· Mechanical properties testing and procedures
· Background in Aluminum chemistry is encouraged
· Training in Problem solving
]]>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.
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-House HWIO (Hardware Input/Output) Team is part of the Mechatronics Software Platform organization, driving GM’s Software Defined Vehicle (SDV) strategy. We develop and test low-level embedded software that is portable and scalable across multiple automotive applications. As a member of the HWIO Engineering group, you’ll work with cutting-edge systems and designs, leveraging both AUTOSAR MCAL configuration tools and hand-coding in C. A software developer in the HWIO team will be responsible for designing, developing, implementing, and testing the low-level hardware input/output (HWIO) software for various microcontrollers. This means creating the best software solution with the understanding of requirements, microcontroller specification, and GM coding standard. The developer will also make sure the solution is tested robustly by creating testing strategies and documenting the design.
We are seeking a skilled Senior Embedded Software Developer to design, develop, implement, and test low-level HWIO software for various microcontrollers. In this role, you will collaborate with cross-functional teams, create robust testing strategies, and ensure compliance with GM’s coding standards.
What You'll Do:
Design, develop, and test low-level embedded software for functionalities such as RTOS, Memory, Fault Detection, Power Management, LIN, DMA, PWM, Discrete I/O, and Analog I/O.
Utilize MCAL configuration tools or hand-code software solutions.
Define and execute testing strategies to verify compliance with technical requirements.
Perform independent code reviews and provide constructive feedback.
Collaborate with teams across hardware, calibration, and requirements groups.
Troubleshoot and solve complex issues with strong analytical skills.
Document designs, test cases, and results thoroughly.
Your Skills & Abilities (Required Qualifications):
Bachelor’s degree in Computer Engineering, Computer Science, Electrical Engineering, or related field.
5+ years of experience in embedded software development (Embedded C).
Expertise in AUTOSAR MCAL configuration and Complex Driver development.
Hands-on experience with microcontrollers (ARM, PowerPC, Renesas).
Proficiency with RTOS for multi-core systems.
Strong understanding of schematics and basic electrical circuits.
Experience with root cause analysis involving integrated basic and application software.
Familiarity with debugging tools (Lauterbach, ETAS INCA, CANalyzer) and lab equipment (oscilloscopes).
Ability to work independently under tight schedules.
Excellent oral and written communication skills.
Strong interpersonal skills to collaborate effectively with others.
What Will Give You A Competitive Edge (Preferred Qualifications):
Master’s degree in Computer Engineering, Computer Science, Electrical Engineering, or related field.
8+ years of experience in embedded software development (Embedded C)
Low level SW experience in these core / micro:
ARM Cortex-R52 Core
ARM Cortex-M7 Core
NXP S32Kxx micro
Knowledge of vehicle electrical systems.
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.
Your Skills & Abilities (Required Qualifications):
What Will Give You A Competitive Edge (Preferred Skills):
En General Motors , una compañía automotriz con una gran historia en Colombia, creemos que la diversidad y que todas las personas deben tener las mismas oportunidades para desarrollar su potencial.
Esta convocatoria forma parte de nuestro compromiso con la inclusión, la equidad y la construcción de equipos cada vez más diversos.
Por ello, te invitamos a formar parte de nuestro Banco de Talento para Personas con Discapacidad , diseñado para conectar con profesionales que deseen desarrollar su carrera en un entorno colaborativo, innovador e inclusivo.
Actualmente contamos con oportunidades para posiciones como:
✅ Analista Financiero
✅ Analista de Cuentas por Pagar
✅ Y otras vacantes corporativas que pueden ajustarse a tu experiencia y perfil profesional.
Si requieres algún ajuste razonable durante el proceso de selección, por favor háznoslo saber después de nuestro primer contacto. Queremos garantizar tu participación en igualdad de oportunidades y brindarte una experiencia accesible e inclusiva.
🚀 En General Motors valoramos el talento, las habilidades y el potencial de cada persona para construir juntos el futuro de la movilidad.
Protección de datos personales: Al postularte, autorizas de manera previa, expresa e informada el tratamiento de tus datos personales para fines relacionados con la gestión del talento y los procesos de selección, de acuerdo con la normativa aplicable.
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REQUIREMENTS: Bachelor's degree in Automotive Systems Engineering, Mechatronics Engineering, Mechanical Engineering, Electrical Engineering, Software Engineering, Computer Engineering, or related field of study and three (3) years of experience as an Application Engineer or related occupation. Two (2) years of experience with the following: Integration of Software-in-the-Loop (SiL) co-simulations, including virtual ECU models, sensor/actuator/plant or system physics models for conventional internal combustion engine or hybrid electric vehicle propulsion systems; Embedded C and Python; MATLAB and Simulink in context of plant model development and integration; GT-Power and AMESIM; Embedded controls software and automated software build processes, including gcc compiler, gdb debugger, Eclipse, Jenkins, and ETAS INCA tools; Automotive communication technologies, such as CAN, LIN, and SPI; Modeling of Hybrid Vehicle Systems, including mechatronic subsystems, in Simulink, Simscape, or GT-Power; and Debug/deploy subsystem models as system-level simulation components.
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REQUIREMENTS: Bachelor's degree in Software Engineering, Information Technology, Electrical Engineering, Mechatronic Engineering, Automotive Engineering, or related field of study and Seven (7) years of experience as a Network Protocol Engineer, Systems Engineer, Software Development Engineer, Electrical System Design Engineer, Technical Specialist, Software Engineer, or related role. Seven (7) years of experience with: Automotive embedded software development with proficiency in C/C++ and scripting language experience including Python; Architecting embedded systems with design strategies and principles; Network protocol including CAN, LIN, Automotive Ethernet, and SOME/IP; Vehicle Development Process timing and key engineering achievements; and CI/CD principles and automated testing frameworks including Agile frameworks. Five (5) years of experience with: Developing software with microcontrollers based on Classic Autosar and Adaptive Autosar; ASIL A-D safety compliance; Software tooling with automation, code-generation, and fault injection; and Embedded software development tool set including JIRA and GitHub.
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REQUIREMENTS : Bachelor's degree in Accounting, Finance, or related field of study and Four (4) years of experience in an Accounting or finance-related occupation. Four (4) years of experience with: Modernization tools including Power BI, KNIME, VBA Macro, and PowerTools; SAP-specific systems; and FASB and Technical Accounting Guidance Research. Three (3) years of experience with: Project Management; Journal Entry, Account Reconciliation, and Month-end Close responsibilities; and Understanding of accounting workflow and business function with incline on modernizing/automating the process. Position also requires valid Certified Public Accounting License.
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REQUIREMENTS: Bachelor's degree in Applied Computer Science, Software Engineering, Information Systems, Mathematics, Data Analytics, or related field of study and Five (5) years of experience as a Software Engineer, Systems Engineer, or related role. Five (5) years of experience with: Architecture, design, development, and unit testing of web-based applications and middleware infrastructure; Supporting and Managing the day to day operational support for Oracle Fusion Middleware infrastructure-Oracle SOA suite; Entire software development lifecycle (SDLC) including requirements, design, implementation, integration, and testing; Oracle Fusion middleware administration activities including installation, configuration, maintenance and Upgrades; Large, complex integration projects with skills across Oracle Fusion Middleware specifically Oracle SOA Suite 12c including BPEL and Mediator, Oracle WebLogic server, HTTP, SOAP, and REST web services; Creating User Roles, Authentication, and Authorization mechanisms within Oracle SOA; Make recommendations around Oracle Fusion Middleware monitoring best practices and train team members on Oracle Fusion Middleware best practices; Automate and optimize processes for application deployed on SOA suite; Oracle Fusion Middleware security patches, Security compliance reports and renewing and maintain SSL certificates; Interact with IT management regarding work assignments and status; Application server performance tuning and Monitoring; Coordinate development and testing efforts between different development teams during the project and participating in the system testing and deployment processes; and Estimate the efforts required to implement the Oracle SOA solution, design and prototype Interfaces and Interpret and implement business requirements according to established department standards.
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REQUIREMENTS : Bachelor's degree in Mechanical Engineering, Electrical Engineering, Chemical Engineering, Computer Engineering, or related field of study and Five (5) years of experience as a Software Engineer, Design Engineer, Automotive Engineer, or related occupation. Two (2) years of experience with: Delivering embedded software for high voltage battery systems; SOC, SOH, and SOP estimation algorithms deployed in vehicles; C/C++ for embeddedsystems development; Agile/Scrum environments and cross functional automotive programs; and Leveraging Battery Data to generate actionable insights that improve batteryperformance, reliability, and lifecycle characteristics.
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]]>What You’ll Do
Your Skills & Abilities (Required Qualifications)
Senior Design Release Engineer
What Will Give You a Competitive Edge (Preferred Qualifications)
The Vendor Management Manager will build and lead Core IT’s vendor management function, ensuring strategic technology suppliers deliver reliable services and measurable value aligned to our priorities. This role establishes governance, performance measurement, and escalation mechanisms, and partners with Purchasing, Finance, Security, and IT leaders to support effective vendor execution, renewals, and spend alignment.
What You’ll Do
Your Skills & Abilities (Required Qualifications)
What Will Give You A Competitive Edge (Preferred Qualifications)
The VSE is the single voice of the designated program. Success in this role requires strong technical leadership, program management and planning, and the ability to influence across a complex organization to deliver results. They will be an effective communicator and team leader who can perceive and analyze risk, work to mitigate risk early, think ahead and plan several steps into the future, prioritize and manage multiple challenges concurrently, break down roadblocks, and challenge the status quo when appropriate.
What You’ll Do (Responsibilities):
System Integration & Program Leadership
Technical Leadership
Executive & Cross-Functional Communication
Influence, Negotiation & Alignment
Program Management & Planning
Your Skills & Abilities (Required Qualifications):
What Can Give You a Competitive Edge (Preferred Qualifications):
What You’ll Do
Your Skills & Abilities (Required Qualifications)
What Can Give You a Competitive Advantage (Preferred Qualifications)
The Role
As Senior Product Manager, In-Vehicle Setup Experience, you will own the in-vehicle product experience and roadmap for setup and onboarding. You will translate customer needs, business objectives, technical constraints, and vehicle-program timing into a clear product strategy and prioritized set of outcomes.
You will help create a day 0 through n experiences that are welcoming, relevant, easy to understand, and valuable without delaying drive readiness. You will also establish the operating model and partnerships needed to make the experience consistent across in-vehicle, mobile, and web surfaces.
You will lead the product vision, strategy, and execution for GM’s in-vehicle setup experience—the customer’s first guided interaction with the vehicle. This role will make setup intuitive, personalized, and reliable by shaping the in-vehicle journey across account association, sign-in, pairing, profile setup, personalization, feature discovery, and drive readiness.
You will work closely with mobile, web, design, personalization, program management, legal, and privacy teams to deliver a cohesive setup journey across touch points. The role combines customer-centered product strategy with strong execution discipline across complex software, vehicle, and service dependencies.
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 the Warren, MI or Milford, MI office three times per week, at minimum.
]]>The Senior Market Research Analyst for GM International plays a critical role in leading customer research and insight generation across International markets, including South America, South Korea, the Middle East, Mexico, and Canada. This position is accountable for delivery of research and insights, from study design through analysis and recommendation development.
The role is expected to operate with minimal oversight, navigate complex and ambiguous business questions. Beyond reporting findings, the analyst translates data, market research, trends, and market signals into clear, data-backed recommendations that drive alignment and influence decisions related to product development, positioning, communication, technologies, and local market strategy.
The Senior Market Research Analyst role is expected to operate independently, proactively understand risks, and propose actions.
Lead delivery of primary and secondary research projects for GM International, including understanding research objectives, methodology selection, fieldwork oversight, analysis, synthesis and recommendations.
Independently design and execute complex quantitative and qualitative research using the appropriate methodologies, tools, and suppliers.
Develop research instruments, including questionnaires, discussion guides, and analysis frameworks, across a wide range of global and local business topics.
Manage multiple complex, multi-stakeholder projects simultaneously, proactively identifying risks, adjusting approach as needed, and ensuring high-quality delivery on time.
Analyze and integrate primary research, internal business data, external market data, and secondary sources to uncover strategic insights and business implications.
Translate findings into clear, actionable, data-backed recommendations that drive alignment and influence decisions across product, marketing, digital, and business teams.
Create compelling narratives and executive-ready presentations that simplify complex issues, strengthen understanding, and guide actions and decisions.
Partner effectively with cross-functional and cross-regional stakeholders to clarify objectives, challenge assumptions, and align on decisions and next steps.
Maintain strong relationships with research suppliers and oversee project execution, logistics, quality, and deliverables.
Contribute to continuous improvement by identifying opportunities to improve research methods, tools, and workflows, including the use of AI-enabled approaches where appropriate.
Bachelor’s degree in Market Research, Analytics, Behavioral Science, Marketing, Psychology, Statistics, or a related field.
5+ years of experience in consumer research, insights, analytics, strategic planning, or marketing.
Demonstrated ability to independently lead research and insight projects with minimal oversight.
Strong quantitative and qualitative research design capabilities, including survey design, interview and discussion guide development, sampling approaches, and methodology selection.
Experience with advanced analytical techniques such as regression, factor and cluster analysis, MaxDiff, conjoint, and pricing methods as relevant to the business need.
Ability to work through complex, ambiguous, and novel business problems and convert them into structured, data-driven solutions.
Proven ability to influence stakeholders and drive alignment through clear, evidence-based recommendations, not just present findings.
Strong project management skills, including the ability to manage multiple deliverables, anticipate risks, remove blockers, and maintain momentum across stakeholders.
Excellent communication and storytelling skills, with the ability to tailor messages to technical, business, and leadership audiences.
Proficiency in Word, PowerPoint, and Excel.
Ability to combine survey data with behavioral, digital, CRM, social, or secondary data sources to generate richer insights.
Experience using AI-enabled platforms or large language model tools to support research design, open-end coding, transcript summarization, literature review, insight mining, concept evaluation, or synthesis of large information sets.
Ability to apply AI responsibly by validating outputs, checking for bias or hallucination, protecting confidential data, and using human judgment to ensure research quality.
Comfort experimenting with emerging AI research workflows that improve speed, consistency, and actionability without compromising methodological rigor.
Master’s degree in Marketing Research, Analytics, Behavioral Sciences, Statistics, or a related field.
Advanced expertise in quantitative and qualitative methodologies such as conjoint, MaxDiff, segmentation, ethnography, pricing, and advanced text analytics.
Experience using AI or advanced analytics to improve research efficiency, insight generation, and business impact.
Familiarity with global automotive market dynamics, consumer behavior, and competitive intelligence.
Experience coaching peers, sharing best practices, or helping elevate research quality across a broader team.
Strong analytical skills, including experience working with raw data, cross-tabs, segmentation, trend analysis, and synthesizing multiple sources into clear business implications.
Proficiency in research and analytics tools such as SPSS, Q, R, or equivalent software used to analyze, visualize, and communicate findings.
If you're passionate about consumer research in the automotive industry, apply now and help shape the future of our International Operations!
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 Design and Release Engineer – Seatbelts, you will serve as the technical leader for seatbelt system design, development, integration, and release across multiple vehicle programs. You will drive the execution of occupant restraint solutions that are safe, robust, manufacturable, and customer-focused, while influencing cross-functional decisions from concept through launch.
This role requires strong technical expertise, sound business judgment, and a passion for safety, along with the ability to lead complex issues and align internal and external partners to deliver high-quality results.
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.
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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]]>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
The Role:
The Service Operations Manager leads after-sales service operations across the dealer network, ensuring strong customer satisfaction, workshop productivity, technical capability, brand quality, warranty performance, and service profitability. The role leads and coordinates the service manager team, including dealer business management, Field Service, Technical Assistance Center, Brand Quality, Warranty, and Contact Center activities.
The Service Operations Manager translates business and customer priorities into dealer strategies, operating standards, performance plans, and measurable improvement actions. The role provides leadership and direction to service managers and dealer teams, ensures effective escalation of technical and customer concerns, drives compliance with GM policies and applicable regulations, and connects dealer feedback with engineering, manufacturing, quality, sales, warranty, customer care, and regional or global functions.
What You'll Do:
Your Skills & Abilities (Required Qualification)
Educational and Experience Background:
Technical Skills:
Competencies:
The Role
The GM Energy Data Engineering team is on the lookout for a talented Data Engineer who is a highly skilled and hands-on Cloud Data Warehouse engineer with experience in IoT data integration, Snowflake, Databricks, and Apache Flink. The selected candidate will play a pivotal role in designing, implementing, and optimizing scalable cloud-based data warehouse solutions, including an Operational Data Store (ODS) to serve as a speed layer for advanced analytics and business intelligence initiatives.
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 Design is seeking a Mechanical Assembly Technician / Vehicle Handler to support the management, maintenance, and presentation of Design Historical Vehicles, Design Concept Vehicles, and General Motors Heritage vehicles. This role is responsible for ensuring these vehicles are properly maintained, operational, and show-ready in accordance with directions from Design Leadership and the Communications team.
In this position, you will travel both locally and nationally to support vehicle operations, safeguard vehicle integrity, and assist with on-site presentations at shows and events. The role requires hands-on mechanical and electrical expertise, performed with the highest level of care and attention to detail, given the priceless and one-of-a-kind nature of these prototype vehicles.
The ideal candidate will collaborate closely with internal teams and external suppliers to support the Design fleet, as well as work directly with GM executives and leadership before and during show events. Strong mechanical and electrical intuition, creativity, flexibility, and problem-solving skills are essential to ensure vehicles are maintained to the highest standards and perform flawlessly in high-visibility environments.
If you have a passion for automotive history, innovation, and craftsmanship—and enjoy working with iconic vehicles that showcase the past, present, and future of GM—we encourage you to apply.
Key Responsibilities
Additional Job Description
Required Skills and Experience:
Requirements
Education and Training
The Senior Project Manager is responsible for managing leasing, acquisition, and disposition of real property assets, ensuring alignment with GM’s strategic objectives and delivering exceptional value to stakeholders. Reporting to the Group Manager, this role manages projects from business requirements, site strategy, and feasibility through due diligence, approvals, negotiation, execution, occupancy, and closeout.
What You’ll Do
Required Qualifications
Preferred Qualifications
The Materials & Manufacturing Systems Research Lab at the General Motors R&D Center located in Warren, Michigan is seeking a technically exceptional AI/ML intern 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.
What You’ll Do:
Build, validate, deploy, and scale AI/ML models for high-impact manufacturing engineering, research and development applications.
Conduct technical work across a broad set of AI domains, including classical machine learning, deep learning, GenAI, Large Language Models, multimodal AI, agentic AI, World Models, and physics-based AI.
Translate business and engineering problems into practical AI/ML solution strategies and executable technical plans.
Serve as a technical authority on model development, deployment architectures, data strategy, evaluation methods, and responsible AI practices.
Generate new concepts and ideas while conducting research programs that apply the latest AI/ML tools
Drive technical assignments in a resourceful and timely manner with minimal supervision
Work well with fellow researchers, centers, operational groups, plant personnel and universities.
Maintain state-of-art technical skills and knowledge
Develop working relationships with internal and external subject matter experts
Effectively communicate and detail results through internal and external publication
Collaborate with global technical teams and lead discussions as an expert in manufacturing AI/ML
Required Qualifications:
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., H1-B, OPT, STEM OPT, CPT, TN, J-1, etc).
The position is subject to export control restrictions and requires the successful candidate to be a U.S. Person (U.S. citizen, U.S. permanent resident, asylee or refugee).
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 minimum [or other frequency dictated by the business].
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.
]]>GM is committed to Zero Emission, Zero Crashes and Zero Congestion vision.
At the autonomous vehicles Foundational AI Research team in Israel, which is part of the GM AV AI Research organization, we are shaping next-generation autonomous driving, L3 and beyond. The AI Research organization is dedicated to advancing the state of the art in AI for autonomous vehicles. We are a collaborative, forward-thinking group of researchers and engineers tackling some of the most complex challenges in autonomy and machine learning.
As a Gen AI Staff Researcher, you will contribute deep technical expertise to a collaborative research team developing generative world models, with a focus on the design and large-scale training of diffusion models for autonomous driving. You will research and develop models that learn the dynamics of driving environments and generate realistic, temporally consistent, and controllable future scenarios, conditioned on sensor observations, actions, and scene context.
You will contribute hands-on throughout the research lifecycle, from exploring new ideas to large-scale experimentation and implementation, advancing model architectures, training objectives, data strategies, and evaluation methods. As an expert member of the team, you will bring scientific rigor, share technical knowledge, and work closely with fellow researchers and partners in Perception, Behavior/Policy, Data, Simulation, and Validation to translate generative AI advances into measurable improvements in autonomy KPIs. You will also contribute high-quality publications at top-tier conferences and journals and collaborate with leading academic partners.
At the GM Foundational AI Research group, your work will influence millions of drivers worldwide and define what’s next in autonomous driving. If you're passionate about solving hard problems and advancing the frontiers of generative AI and autonomous driving, we want you on our team.
Your Skills & Abilities (Required Qualifications):
What Will Give You A Competitive Edge (Preferred Qualifications):
REQUIREMENTS : Bachelor’s degree in Automotive Engineering, Electrical Engineering, or related field of study. Two (2) years of experience as a Body-in-White Manufacturing Engineer, or related occupation. Two (2) years of experience in the following: Mechanical tool design and construction; Automotive assembly processes, tools and equipment; Production throughput and discrete event simulation; Evaluate new technologies and support implementation; Engineering project management including costs, quality standards, resource allocation, risk management, project milestones; and Working in a manufacturing environment including controls, robotics, welding, materials, containers and product engineering.
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]]>In-vehicle connectivity and precise positioning are critical enablers for advanced driver assistance, autonomous driving, and connected vehicle services. We are seeking a Staff Technical Specialist– GNSS Hardware 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.
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]]>The Controls Engineer will be responsible for automation project execution and plant floor production support, focusing on machine controls, vision systems, laser marking, and robotics. This position requires a high degree of creativity, initiative, and independent judgment within a fast-paced manufacturing environment.
Note: This position requires the ability to work an off shift, with overtime potential required. The engineer will provide plant-floor technical support during these shifts, ensuring smooth production, addressing equipment downtime, and coordinating with day-shift engineering and maintenance teams for follow-up actions.
What You'll Do (Responsibilities)
Your Skills & 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
We are seeking a staff systems engineer to join the AV team to provide technical leadership in defining how autonomous sensing systems are architected and integrated across GM’s autonomy programs. This role focuses on sensor suite design at the intersection of sensors, Perception, Behaviors, and vehicle integration, ensuring that sensing solutions are technically sound, aligned with product intent, and executable in production.
In this position, you will apply your specific areas of expertise to develop solutions to novel challenges as you lead system‑level trade studies, perform detailed analysis on individual sensors, and define multi-modality sensor suites spanning camera, radar, lidar, and more. You will work closely with AI/ML, simulation, data collection, platform software, and vehicle integration teams to address real engineering challenges. This role is for engineers who thrive in navigating ambiguous problem spaces and bring clarity to cross-functional teams with data-driven solutions.
What You’ll Do
You will get the opportunity to contribute to one or more of the following:
Your Skills & Abilities (Required Qualifications)
What Will Give You a Competitive Edge (Preferred Qualifications)
Experience in one or more of the following areas 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.
Benefits:
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 Nashville, TN or a surrounding area approved by leadership within 60 days of the start date.
The Role:
Be the driving force behind one of America's most recognized automotive brands. As a Chevrolet Zone Manager, you’ll be the driving force behind sales excellence across your zone. You’ll lead a high-performing field team, build trusted dealer relationships, and execute strategies that fuel growth, customer satisfaction, and brand loyalty. This role leads a high-performing field team, develops strategic plans to expand dealer market share and profitability, and builds strong dealer relationships. The position requires strong communication, negotiation, and decision-making skills, with significant autonomy. The Zone Manager also oversees support functions including product and technology training, accessories, financial services, business development, and dealer digital marketing strategy.
What You'll Do:
Your Skills & Abilities (Required Qualifications):
What Can Give You a Competitive Advantage (Preferred Qualifications):
General Motors is building one of the most ambitious AI and robotics programs in manufacturing, developing systems capable of autonomously manipulating thousands of parts across GM’s global plant network. Our Robotics AI organization sits at the intersection of AI research, robotics, manufacturing engineering, and AI product management, driving both cutting‑edge technology and real factory impact.
We are looking for a Robotics AI Strategy & Program Lead who can own end‑to‑end, cross‑functional initiatives that cut across AI research, robotics engineering, data infrastructure, and manufacturing operations. They will be known as an operator who gets things done across complex organizations.
This role blends strategy, program management, analytics, and hands‑on AI tools work : you will structure the problems, build the dashboards, dive into the data, leverage and build AI agents, and drive large programs to completion while unblocking teams across IT, Purchasing, Vendors, Finance, HR, and Manufacturing.
You will be embedded with AI researchers, roboticists, AI engineers, data engineers, and AI product managers , translating between technical and non‑technical stakeholders and ensuring that what we build is strategic, measurable, and shippable - from fast-turnaround experiments to multi-year platform bets.
What you will own
Program and project leadership
Strategy, storytelling, and decision support
Data, analytics, and tooling
AI, robotics, and technical collaboration
Ways of working and culture
Required qualifications
Preferred Qualifications
Who you are
Location
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.
Relocation benefits are available for candidates who qualify under company policy.
]]>Work Arrangement:
This role is based remotely but if you live within a 50-mile radius of Austin, Mountain View, or Warren, you are expected to report to that location three times a week, at a minimum
Department Overview:
As a member of the Employee Relations Investigations & Policy team, you will strive to be a role model for the Company by supporting the delivery of high-performance services with high integrity. The Employee Relations Investigations & Policy teams’ objectives are to deliver timely, best-in-class services in a collaborative way while also protecting GM’s high standards of HR, legal, ethical, and financial integrity. The team plays a key role in reinforcing GM’s Speak Up culture by providing safe, fair, and consistent handling of concerns raised through internal reporting channels. Each member of this team, including Managers, are expected to adhere to these standards:
Workplace and Product Safety
Compliance & Ethics
Strategic Partnering
Responsive & Accountable
Sound Judgement & High Trust
Real-time Transparency and Communication
Superior Work Product Quality
Strong Work Ethic
Controlling Costs
Company and Industry Knowledge
Teamwork
Role Overview:
The Employee Relations Investigator will perform impartial, fact-based investigations of suspected misconduct and policy violations including, but not limited to, discrimination, harassment, retaliation, bullying, and violations of our Winning with Integrity policy. They will own the end-to-end investigation process, from investigation planning through closure (fact-finding, analysis, and report writing). The Investigator will work closely with HR Policy and the Compliance & Special Investigations leadership on investigative efforts, and they will partner with HR, Labor Relations, Legal, and other stakeholders to drive timely, fair, consistent, and balanced outcomes that align with GM values, policies, and applicable laws.
Responsibilities:
Develop investigative plans including scope, participant lists, and timelines; execute and document work in accordance with professional standards and GM investigation protocols.
Communicate investigation results clearly and timely to all constituencies (e.g., HR, leaders, Legal, and other stakeholders).
Effectively collaborate cross-functionally with HR, Labor Relations, Legal, Audit, Security, Operations, and other constituencies.
Partner with the HR Policy team on post investigation strategies such as ensuring equity in employment actions resulting from the investigation and identifying proactive training efforts to mitigate future risk.
Draft clear, concise, high quality investigation reports that synthesize facts, policy standards, analysis, and the conclusion of the case.
Demonstrate strong case management discipline, including accurate and timely documentation, appropriate evidence handling and storage, adherence to record retention requirements, and consistent application of investigation quality standards.
Ensure confidentiality of sensitive information is maintained.
Qualifications:
5+ years of professional experience in Human Resources, or Corporate Global Investigations, Labor Relations, Legal, or Compliance, including a minimum of 3+ years conducting workplace investigations into discrimination, harassment, retaliation, and other policy violations.
Bachelor’s degree in Human Resources, Business, Industrial/Organizational Psychology, Criminal Justice, or a related field preferred, or equivalent experience.
Advanced degree or professional certification (e.g., PHR, SPHR, AWI) is a plus.
Experience performing investigations of alleged misconduct at the direction of Leadership, managing cases from assignment through fact-finding, analysis, and report completion while balancing urgency and quality.
Ability to identify and develop sources of information relative to the subject of the investigation.
Experience conducting effective informational and interrogatory interviews with reporters, subjects, and witnesses at all levels of the organization.
Experience evaluating systems of internal control and related procedures to identify potential gaps or process improvements related to people, policy, or culture.
Experience recommending changes in investigative process to improve efficiency/effectiveness while maintaining the highest quality standards.
Prior experience maintaining open, honest, and timely communication with personnel involved in investigations/projects.
Managerial courage demonstrated through effective, direct, and respectful communication.
Ability to collaborate, build relationships, gain credibility, and partner effectively with others up and down a matrixed organization.
Ability to investigate objectively.
Aptitude for critical thinking and succinctly presenting the best course of action.
Exceptional organizational, analytical, leadership and interpersonal skills , with strong attention to detail and the ability to manage multiple complex investigations concurrently.
Exceptional written and verbal communication skills, including experience drafting clear, concise investigation reports and summaries for HR, leaders, and Legal.
Demonstrated ability to handle high-risk, sensitive matters (e.g., offensive symbols/graffiti, conflict of interest, retaliation) with discretion, judgment, and composure.
Knowledge and understanding of automotive industry environment and business needs and experience working with represented/hourly workforces (UAW or similar union environment) are both a plus.
Subject Matter Requirements:
Develop investigative plans including scope, participant lists, and timelines; execute and document work in accordance with professional standards and GM investigation protocols.
Communicate investigation results clearly and timely to all constituencies (e.g., HR, leaders, Legal, and other stakeholders).
Effectively collaborate cross functionally with HR, Labor Relations, Legal, Audit, Security, Operations, and other constituencies.
Partner with the HR Policy team on post investigation strategies such as ensuring equity in employment actions resulting from the investigation and identifying proactive training efforts to mitigate future risk.
Draft clear, concise, high quality investigation reports that synthesize facts, policy standards, analysis, and the conclusion of the case.
Demonstrate strong case management discipline, including accurate and timely documentation, appropriate evidence handling and storage, adherence to record retention requirements, and consistent application of investigation quality standards.
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 to $135,700. 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.
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
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
Advanced Vehicle Development is seeking an experienced Technical Project Manager to establish and operate a common work-management approach across program and project teams. This role will configure and administer Jira, develop work breakdown structure templates for different team types, facilitate effective Scrum execution, connect interdependent work across organizations, and create clear status views for executives, leaders, and delivery teams.
The successful candidate will help Advanced Vehicle Development improve execution visibility, cross-functional alignment, and delivery discipline while enabling teams to focus on the work required to advance vehicle architecture and technology development.
What You’ll Do (Responsibilities)
Your Skills & Abilities (Required Qualifications)
What Can Give You a Competitive Advantage (Preferred Qualifications)
#LI-KM2
]]>Hybrid: This internship is categorized as on-site. The selected intern is expected to report to the office 3 days a week.
Location:
Sunnyvale, CA
The State Estimation, Alignment, and Mapping (SEAM) team develops the sensing and spatial understanding capabilities that help autonomous vehicles know where they are, interpret their surroundings, and maintain reliable operation over time. The team works on sensor fusion, state estimation, real-time localization, static and dynamic sensor calibration, next-generation mapping, and capabilities that support primary and fallback driving systems.
SEAM combines robotics, computer vision, estimation theory, machine learning, geometry, and production software engineering. Our work supports both onboard, real-time autonomy and offboard, high-fidelity map and data-generation workflows.
As a SEAM Intern, you will work on a well-scoped research or engineering project related to sensing, estimation, localization, mapping, or autonomy reliability. You will collaborate with experienced engineers and researchers to design algorithms, implement software, evaluate system performance, and understand how sensing capabilities operate in real-world autonomous driving systems.
Potential focus areas include:
Compensation:
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
The Scaled Engineering Operations (SEO) team applies human intelligence to some of the toughest problems facing AV development at General Motors (GM). We work closely with cross-functional teams across Engineering, Product Management, and Business to create and iterate on products that move our business forward. We are integral to the development of GM’s ADAS technology. Our products include annotated dataset for machine learning and pareto development, strategic test creation and management, and structured reviews of critical events & simulations to understand the performance of the vehicle onroad and in simulation.
We are looking for a Technical Product Operations Manager who can oversee data products that directly impact the rapid, efficient, and safe operations of autonomy in GM’s vehicles. Specifically, this individual will need to become well-versed in GM's simulation and testing space.
This role operates as a high‑impact individual contributor, owning critical workflows end‑to‑end while influencing how work is done across the team. It requires a blend of operational leadership, analytical rigor, and technical depth, and is execution‑oriented with significant scope for impact. The role is expected to set the bar for quality, provide guidance to peers, and mentor other ICs through influence, with opportunities to take on additional leadership scope as the organization scales. Depending on background and business needs, the role may emphasize simulation and test quality, issue taxonomy and analysis, or large‑scale labeling operations, all grounded in strong systems thinking and cross‑functional leadership.
The role combines operational ownership, program leadership, and technical depth to drive analytical and systems‑level problem‑solving that improves quality, scalability, and trust across our core systems. It sits at a critical inflection point between engineering complexity and operational scale, shaping how data, tests, and issues are defined, measured, and acted upon—directly impacting the speed, safety, and reliability of advanced vehicle systems.
What You'll Do
Own the data product that supports simulation and test issue management, ensuring it remains accurate, scalable, and aligned to protocol execution needs.
Maintain, and evolve issue categories to ensure consistent interpretation and high‑quality protocol data through close collaboration with simulation partners.
Identify gaps, refine issue definitions, and ensure consistent application of taxonomy items across teams and workflows.
Support the creation of metrics, dashboards, and analyses that surface trends and inform prioritization and decision‑making.
Contribute to adjacent data products and pilot initiatives, flexing across SEO’s portfolio to enhance operational excellence and data reliability.
Identify and drive opportunities for process improvements that make simulation/test issue workflows more scalable, efficient, and resilient as the AV software stack evolves.
Your Skills & Abilities
3+ years of experience in consulting, finance, business operations, tech startups, or similarly analytical and strategic environments.
Bachelor’s degree in a relevant field or equivalent practical experience.
Experience contributing to strategies and solutions within a complex, rapidly evolving domain, ideally involving data products, operational workflows, or AV‑related systems.
Strong communication skills, including the ability to craft clear summaries, present insights, and communicate recommendations to senior stakeholders.
Demonstrated analytical rigor, with experience posing data‑driven questions, conducting insightful analysis, and developing or improving metrics and KPIs.
Experience collaborating across teams with differing priorities, helping drive clarity, shared understanding, and forward progress.
Comfort switching between strategic thinking and hands‑on execution, adapting to evolving needs with sound judgment and EQ.
Willingness to ask hard questions, challenge assumptions, and surface inconsistencies to improve data quality and operational clarity.
Familiarity with SQL.
What Will Give You A Competitive Edge
5+ years of experience in consulting, finance, business operations, tech startups, or similarly analytical and strategic environments
Proficiency in SQL and Python for data querying and analysis.
Experience supporting ADAS, autonomy, robotics, or complex simulation systems
Familiarity with machine learning data operations, including labeling workflows, test quality frameworks, or quality control processes
Experience managing or working closely with offshore vendors or external partners, including day‑to‑day operational coordination
Comfort acting as a product owner for internal tools, including documenting requirements, prioritizing asks, and influencing roadmaps
Experience designing forward‑looking strategies within complex, rapidly evolving technical ecosystems—or a strong passion for self‑driving technology and its transformative potential
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 $83,800 and $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 Facilities Manager is responsible for overseeing all aspects of a building's functionality, maintenance and security, ensuring the safety and suitability of the space for occupants by managing tasks like cleaning, security, repairs, building systems, and space planning, and coordinating with contractors to address maintenance needs.
What You'll Do (Responsibilities):
Your Skills and Abilities (Required Qualifications):
What Can Give You a Competitive Edge (Preferred Qualifications):
Hybrid: This internship is categorized as on-site. The selected intern is expected to report to the office 3 days a week.
Location:
Sunnyvale, CA
The Onboard Autonomy team develops the real-time intelligence that enables autonomous vehicles to perceive their surroundings, plan safe and comfortable behavior, and operate reliably on the vehicle. Our work spans sensor fusion, structured perception, trajectory generation, ML planning, local planning, controls, guardrails, evaluation, and vehicle integration.
We combine machine learning, robotics, optimization, and software engineering to build production-oriented autonomy systems that operate in real time and handle challenging driving scenarios.
As an Onboard Autonomy Intern, you will contribute to a focused research or engineering project within the onboard driving stack. You will work with experienced researchers and engineers to prototype, evaluate, and improve algorithms or software using vehicle data, simulation, or production-oriented environments.
Potential focus areas include:
Compensation:
We are looking for a Product Quality Engineer to lead quality execution for the Propulsion Systems – CSS Prime engine family through the Program Execution Team and Continuous Improvements Team. You will keep program imperatives on track by making sure the right issues show up with the right data, owners, and decisions at the right time.
You will work closely with the Program Team, Product Development, Manufacturing, Suppliers, and Aftersales to turn data and meeting outputs into clear actions. You will be the eyes and voice of the customer, connecting requirements to real-world performance while protecting our business and brand.
The position will be responsible for the Product Development Quality & Continuous Improvement activities for Propulsion Systems.
#LI-PR
]]>What You’ll Do:
Your Skills & Abilities:
What Can Give You a Competitive Edge:
Location
Compensation
Benefits
The Senior 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, security assessments, 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 identify areas to mature in our secure SDLC.
What You'll Do
• Perform penetration testing and security assessments across software, systems, and product environments
• Conduct security research that targets meaningful product and technology risks
• Support 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
• Contribute to the improvement of offensive methods, tooling, and testing approaches across the portfolio
Your Skills & Abilities (Required Qualifications )
• 6+ years of experience in penetration testing, product security, security research, or similar roles
• Experience with offensive security testing across applications, software, and systems
• Experience with penetration testing, security assessments, vulnerability research, or exploit validation
• Working knowledge of embedded security, operating system security, application security, and networking
• Able to read and write software in one or more programming languages to support investigation and tooling
• Strong ability to communicate technical findings and work 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
• Experience working on automotive security or another relevant area of 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
Technical curiosity and developing offensive security instincts across complex product domains
A rigorous and detail-oriented approach to technical investigation and exploit validation
Sound judgment on risk, exploitability, and practical impact across software and systems
The ability to work independently on defined technical problems while collaborating on ambiguous attack surfaces
A commitment to helping engineers improve security through clear, actionable, and risk-ranked findings
#LI-SB3
]]>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):
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
]]>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.
]]>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
]]>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
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):
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 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
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
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:
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.
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.
]]>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
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.
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]]>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.
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]]>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
]]>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.
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].
As a Senior Autonomy Behavior Systems Engineer, you will help define and validate how an autonomous vehicle behaves in the real world. You will own one or more behavior areas from requirements through simulation evaluation, road-data review, and release recommendation.
This role sits at the intersection of systems engineering, software validation, simulation, and safety. You will turn broad product and safety goals into clear behavior definitions, testable requirements, metrics, test plans, and evidence. You will also need to understand what the results mean, where they are weak, and what should happen next.
Own end-to-end validation for one or more autonomous driving behaviors, from initial behavior scoping and requirements definition to product launch.
Combine simulation, road data, closed-course testing, and expert review to evaluate behavior across large scenario sets, diverse conditions, software versions, and fleet configurations.
Define, deploy, and refine metrics, test strategies and acceptance criteria for autonomous behavior for simulation and road.
Partner with teams across and outside the autonomy organization to assess, author, and present behavior readiness for release and launch decisions.
Master’s degree in systems engineering, mechanical engineering, aerospace engineering, electrical engineering, computer science, robotics, or a related field.
5 or more years of professional experience in systems engineering, autonomous vehicles, robotics, simulation, or safety-critical validation.
Proven experience evaluating autonomous vehicles in support of a self-driving fleet launch.
Strong understanding of systems engineering fundamentals, including system decomposition, use-case definition, requirements authoring, interface definition, verification planning, and traceability.
Professional experience designing or executing simulation-based evaluations at scale, not just isolated scenario demonstrations.
Strong Python experience for data analysis, test automation, simulation workflows, and engineering tools and exposure to agentic workflows.
Strong written and verbal communication skills, with a track record of working effectively across teams.
Demonstrated ability to manage stakeholders, resolve ambiguity, set expectations, and drive work to completion without waiting for a perfect process.
Experience with human benchmarking for behavioral or safety evaluation, including attentive human benchmark data, human percentiles, or expert labeling.
Experience with counterfactual analysis in simulation, including comparing an autonomous vehicle response with a human or alternate-system response under the same scene conditions.
Familiarity with safety cases, safety claims, and the role of validation evidence in supporting them.
Experience with hazard analysis, including structured hazard analysis, scenario-based hazard analysis, failure analysis, or similar methods.
Understanding of risk quantification, risk acceptance, risk budgets, and mitigation prioritization.
Experience translating legal or regulatory expectations into behavioral requirements, metrics, test coverage, or compliance evidence.
Experience with large scenario libraries, synthetic test generation, replay-to-simulation workflows, simulation test protocols, or validation scorecards.
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
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
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:
This role is categorized as hybrid. This means the successful candidate is expected to report to the Sunnyvale or Mountain View office 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
Work Arrangement:
This role is categorized as Remote/ hybrid . Remote: This role is based remotely but if you live within a 50-mile radius of [Austin, Detroit, Warren, Milford, Sunnyvale, CA ], you are expected to report to that location three times per week, at minimum.
The Role
As an Applied ML/AI Manger - Behavior Validation 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 a cross-functional team focused on behavior evaluation and human benchmarking for autonomous vehicles.
Design, implement, and operate offboard ML models capable of robust behavioral inference.
Architect technical roadmaps , shaping strategic ML priorities aligned with company objectives and product milestones.
Partner closely with autonomy, simulation, safety, and product teams to integrate these models into the validation ecosystem of autonomous vehicles.
Your Skills & Abilities (Required Qualifications)
8+ years of experience and MS/PhD in Computer Science, Machine Learning, Robotics, Software Engineering, Data Science , or a related field.
Strong programming and data skills in Python and PyTorch
Demonstrated experience fine-tuning and deploying to production vision-based and/or time series-based ML/AI pipelines.
2+ years of people management or tech lead experience leading engineering teams.
What Will Give You a Competitive Edge (Preferred
Qualifications)
Experience with autonomous driving, robotics, or other safety-critical domains , especially in perception, prediction, planning, validation, safety, or systems engineering roles.
Experience designing and training foundation models .
Demonstrated background with simulation-based validation for autonomy 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 ($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.
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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]]> 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.
At GM, safety is the foundation of everything we build. Our vision of zero crashes, zero emissions, and zero congestion depends on engineers like you and as a Crashworthiness Engineer, you'll be on the front lines of making it real.
Based on your engineering background, your focus will be on occupant performance integration for frontal or side impact conditions. You will lead technical projects across the full vehicle development lifecycle, bringing engineering initiative, creativity, and independent judgment to this work. You will provide technical direction while collaborating with cross-functional groups to prioritize safety and balance requirements.
Responsibilities:
Understand and apply GM Safety CAE standard work procedures for delivering quality models and simulation results. Utilize GM Safety CAE standard work procedures for all simulations and ensure high quality models
Perform Computer Aided Engineering simulations to evaluate occupant performance for high-speed Frontal, Side load cases, including restraints balancing/development for Occupant protection using LS-DYNA software.
Using CAE to lead the vehicle design, generate feasible and timely vehicle design recommendations and technical solutions to meet safety performance targets for the vehicle program as documented in the Vehicle Technical Specifications (VTS). Balance safety requirements based on the results of crash simulations for the major safety load cases with other performance requirements.
Work with engineering functions, program teams, suppliers, manufacturing, and others to implement design changes as required to achieve vehicle performance.
Use advanced CAE tools and methods (Variation Study/DOE/DFSS/MDO) to optimize performance
Plan, prepare, execute and analyze post-test results for testing at the Vehicle Proving Grounds. Interpret measurements, conduct analysis, and compare CAE to test results. Effectively communicate results and proactively collaborate with cross-functional teams to resolve issues and verify solutions.
Work with global teams in a collaborative environment.
Present performance status at appropriate forums on regular basis (Safety PIT, PDT, CIT, SP-QIT)
Demonstrate GM Core Values and Behaviors
Required Skills, Experience and Education:
Bachelor’s Degree in engineering from an (ABET) accredited University: Mechanical, Biomechanics, Aero, Civil, Materials, Applied Physics.
2+ years of demonstrated proficiency with CAE or related engineering experience (DRE, validation, lab).
Knowledge of engineering theory and application in automotive development
Willingness to learn new skills and adapt expeditiously
Demonstrated ability to work independently and with others
High level of analytical ability to solve challenging problems and to integrate complex systems
Knowledge of statistical and optimization tools and techniques
High level of interpersonal skills to work effectively with others
Excellent verbal and written communication skills
Preferred Skills, Experience and Education:
Master’s or PhD in Engineering from an (ABET) accredited University: Mechanical, Biomechanics, Aero, Civil, Materials, Applied Physics.
Working knowledge of CAE and Validation tools – training available in LS-DYNA, PRIMER, METAPOST, ANSA, HYPERWORKS, STIS and other CAE tools
Knowledge of Federal Motor Vehicle Safety Standards (FMVSS) and Global Safety Requirements and Standards – training available
Working knowledge of Unigraphics, TeamCenter, and VisMockup
Proficiency in Google Workspace applications and performance integration related applications
#LI-KE2
]]>Production Mapping is looking for a Staff Cloud and AI Solutions Engineer to build and scale future-ready mapping foundations that support the expansion of our mapping databases and the next generation of software-defined vehicle experiences.
This role will combine deep software and cloud engineering with data-platform architecture and practical AI enablement. You will design scalable foundations for mapping data, create reusable services and workflows, and help transform the team’s existing knowledge, tools, and engineering practices into secure, production-ready Agentic AI solutions. Your work will help mapping teams move faster, improve data quality and traceability, and use cloud-based intelligence in their day-to-day development and operations.
The ideal candidate is a hands-on technical leader who can work across data engineering, backend services, cloud infrastructure, distributed systems, developer tooling, and AI-enabled workflows. Experience in automotive, mapping, ADAS, SDV, robotics, or other data-intensive domains is highly desirable.
As a Staff Cloud and AI Solutions Engineer, you will provide technical leadership for the solutions, services, and engineering patterns that make Production Mapping data more scalable, trusted, discoverable, and useful.
You will help define the architecture for a future-ready mapping database ecosystem, including data ingestion, transformation, storage, access, quality, lineage, governance, and delivery to downstream consumers. You will also identify practical opportunities to apply AI and agentic workflows to engineering work, using the knowledge base that already exists across documentation, code, metadata, operational data, and team practices.
This is a senior individual-contributor role with broad influence and hands-on delivery responsibility. You will set technical direction, build reference implementations, establish reusable standards, and partner with multiple teams to move solutions from concept to production. Success will come from creating durable capabilities that teams adopt—not from becoming the owner of every mapping system or every AI initiative.
Define and evolve the target architecture for scalable mapping data foundations, including data models, storage patterns, ingestion and transformation pipelines, APIs, data access, metadata, lineage, quality controls, and governance.
Build, productionize, and scale reusable cloud-native solutions and services that support the growth, availability, performance, security, and cost efficiency of mapping databases.
Establish data contracts, validation frameworks, observability, and operational standards that make mapping data trustworthy and easier to consume across engineering teams.
Design and implement cloud-first solutions using infrastructure as code, automated deployment, containerized services, CI/CD, monitoring, and production-readiness practices.
Partner with map creation, map delivery, validation, simulation, embedded software, data science, and platform teams to understand their data needs and deliver integrated solutions.
Identify high-value opportunities to apply AI to everyday engineering workflows, including data discovery, technical search, map-data analysis, validation support, diagnostics, release readiness, incident triage, and engineering productivity.
Design and productionize knowledge-grounded Agentic AI solutions that can use approved documentation, code, metadata, telemetry, and operational knowledge to support multi-step engineering tasks.
Help define the architecture and operating model for smart agents, including retrieval, tool use, orchestration, access controls, evaluation, observability, human oversight, and safe deployment.
Create patterns that allow AI agents and data services to scale reliably in the cloud across environments and teams.
Build reference implementations and reusable frameworks so teams can adopt cloud, data, and AI solutions without repeatedly solving the same foundational problems or creating unnecessary central dependencies.
Lead architecture discussions, design reviews, and focused technical workshops across teams; clarify ownership boundaries and resolve cross-team technical seams.
Mentor engineers through technical guidance, design feedback, code reviews, and examples of strong engineering practices.
Balance near-term delivery with long-term maintainability, solution simplification, security, reliability, and responsible use of AI.
Bachelor’s degree in Computer Science, Computer Engineering, Software Engineering, Electrical Engineering, Data Engineering, Artificial Intelligence, or a related technical field; equivalent practical experience may be considered.
10+ years of professional software engineering experience building and operating production systems.
Demonstrated experience providing senior technical leadership across architecture, design, implementation, and production operations.
Strong experience with cloud-native and distributed systems, including scalable services, asynchronous or event-driven workflows, data-intensive applications, and reliability engineering.
Hands-on experience with at least one major cloud platform, such as Azure, AWS, or Google Cloud Platform.
Experience with infrastructure as code, containers or Kubernetes, CI/CD, automated testing, observability, cloud security, and production operations.
Strong programming experience in one or more languages such as Python, Go, Java, C++, or a comparable production language.
Experience designing data platforms, data services, or large-scale data pipelines, including data modeling, storage, transformation, APIs, data quality, and governance.
Experience applying AI, machine learning, generative AI, retrieval-augmented generation, or workflow automation to practical software engineering or business problems.
Understanding of Agentic AI or multi-step workflow patterns, including tool integration, retrieval, orchestration, evaluation, monitoring, and access control.
Demonstrated ability to influence technical direction across teams without relying on formal organizational authority.
Strong written and verbal communication skills, with the ability to explain complex technical decisions to both technical and non-technical stakeholders.
Experience in automotive, software-defined vehicles, ADAS, autonomous driving, mapping, geospatial systems, robotics, simulation, or another safety- and scale-sensitive domain.
Experience building or expanding mapping databases, geospatial data platforms, map-production pipelines, map validation systems, or data-delivery services.
Experience with Azure, Databricks, Terraform, Kubernetes, Spark or PySpark, Kafka or other event-streaming technologies, and modern data-lake or lakehouse architectures.
Experience with vector databases, semantic search, knowledge graphs, metadata platforms, document intelligence, or knowledge-grounded AI applications.
Experience designing and operating internal developer platforms, engineering productivity tools, or self-service cloud capabilities.
Experience with model-training, simulation, offline analytics, digital-twin, or other high-volume data consumers.
Experience defining AI quality, security, privacy, governance, and responsible-use practices for internal engineering tools.
Experience scaling reusable engineering capabilities across multiple teams and managing tradeoffs among delivery speed, performance, reliability, and cost.
You are a builder who can move between architecture, code, infrastructure, data, and operational outcomes.
You can distinguish a reusable engineering problem from a one-off team problem and focus effort where it creates the most leverage.
You are comfortable working with ambiguity and turning emerging AI capabilities into reliable products with measurable adoption.
You bring strong systems thinking: data quality, security, observability, reliability, cost, and user experience are considered together.
You communicate clearly, create alignment, and use influence rather than authority to drive adoption.
You value practical delivery and can simplify complex technical choices without losing the long-term architectural direction.
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
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:
Leader needed who energizes whole organizations towards software goals. Drive a team of deep technical experts and amplify their impact across a large cross functional organization. Have impact on America’s roads, lead top minds in the industry. Deep software architecture knowledge in embedded systems required, leading top technical people required. Long Automotive history is not. We have the experts, we want your leadership.
About the team:
At GM’s Embedded Software organization, we’re driving the future of mobility through innovation, agility, and excellence. Our team supports embedded controls across all vehicle systems, ensuring we deliver beloved, safe, exciting, high quality vehicles to our customers.
We’re seeking an Engineering Group Manager to lead our Software Architecture team, a high-impact group that defines and evolves GM’s Software Architecture strategies across all vehicle platform domains. You are a confident, execution-oriented leader simplifies complex situations, drives alignment across functions, crushes ambiguity and moves with urgency. You will challenge constructively, make sound decisions under pressure, and ensure critical issues are addressed and driven to resolution. As we define our future, you will champion the following Software Architecture items:
Software Structure
Product Roadmap Execution
Governance and Cross‑Functional Alignment
Shepherd our journey to software excellence
In this people leader role, as well as having responsibilities for the Embedded Controls Software Architecture strategy, you will help develop and lead strategic action plans as we reinvent ourselves from auto manufacturer to a tech company! The heart of this position is to take the natural complexity of large systems and condense them to simple, executable software plans, a key driver of our scaling ambitions.
Are you ready to build tomorrow’s culture, lead a team to innovative solutions, launch new products, develop dynamic engineers, and drive the strategy to an all-electric future? Are you in?
What You'll Do (Responsibilities):
Manage a team of 12-15 Software Architecture Engineers and Technical Specialists to develop and oversee the organization’s Software Architecture strategy
Establish and maintain Software Architecture governance, including adherence to requirements and best practices
Define Key Performance Indicators (KPIs) and Objectives and Key Results (OKRs) to drive software Architecture efficiency, guide improvements and ensure alignment with our organizational goals and Built-in-Quality strategy
Influence cross-functional partners, including teams that may be skeptical or resistant, to align on priorities, decisions, and standards
Resolve competing demands, sensitive situations, and conflicts with other teams while keeping the organization focused on outcomes
Navigate ambiguity, define clear action plans, assign ownership, and maintain momentum until results are delivered
Speak candidly about risks, roadblocks, and gaps, and escalate appropriately when enterprise outcomes are at risk
Champion continuous learning and skill development initiatives to strengthen Software Architecture expertise across the organization and build a sustainable, high‑performing technical workforce
Your Skills & Abilities (Required Qualifications):
Bachelor’s degree in Engineering or related field
7+ years of experience in Embedded Control systems and Software Architecture
4+ years of direct people leader experience, leading and developing high‑performing engineering teams while driving delivery, coaching talent, and fostering an inclusive and collaborative environment
Demonstrated experience guiding embedded controls and software architecture teams, including shaping architecture strategy, driving cross‑functional alignment on complex system designs, and influencing governance, KPIs/OKRs, and enterprise‑level development practices
Strong knowledge of interacting embedded systems, critical path systems, and safety forward design
Proven ability to influence stakeholders across functions and levels, resolve priority conflicts, and drive bold integrity-driven decisions
Track record of defining innovative solutions in ambiguous problem spaces and converting ideas into execution
What Can Give You a Competitive Edge (Preferred Qualifications):
Master’s degree in Engineering or related field
10+ years of experience in Embedded Control Systems and Software Architecture
6+ years of engineering leadership experience, with a proven track record of scaling teams and driving complex technical initiatives across cross‑functional groups
Experience leading engineering teams in Mechatronic Embedded Control systems
Background in Propulsion, Battery, Vehicle Dynamics, Body or Thermal control domains
mobility and redefining the future of transportation. Join us and be a part of a team that drives change and delivers cutting-edge solutions like Super Cruise Hands-Free Automated Driving.
The Role: We are seeking a Senior Advanced Driver Assistance Systems (ADAS) Motion Controls Software engineer to support design, development, testing and implementation of ADAS Lateral Control software for Super Cruise and other GM Active Safety features. As an ADAS Mission Planning and Motion Controls
engineer, you will promote innovation through inspired software development work and provide effective cross team collaboration. You will play a pivotal role in helping to define and execute GM's
ADAS current production and future product software strategy across all controllers, ensuring seamless coordination of software deliveries.
The ADAS Mission Planning and Motion Controls Software Engineer will be responsible for the delivery of production active safety and automated driving software with speed and quality and with focus on
efficient software design and optimized software architecture to maximize reuse across all scalable ADAS platforms. This engineer will collaborate with other ADAS application software engineering teams
to deliver ADAS software products with industry leading performance and innovation.
Key Responsibilities
• Develop algorithms and real-time software for automated/autonomous driving features, such as Lane Keep Assist, Adaptive Cruise Control, Super Cruise 2.0, Super Cruise 3.0 and Front/Rear Impact Mitigation, that raise baseline performance to desired levels and reduces manual calibration effort
• Develop CI/CD pipeline that continuously validates feature control performance for each software change
• Conduct software verification and robust feature validation using unit testing, SIL/HIL, and extensive in-vehicle performance testing
• Participate in the software change management process
• Maintain the latest performance on test vehicles and management of vehicle test fleet
• Support production calibration activities and the resolution of field and customer issues
• Develop creative and innovative solutions and protect intellectual property through patents and publications
Required Qualifications
• Bachelor’s Degree in Computer Science, or Mechatronics/Software/Electrical/Computer Engineering
• 5+ years of experience developing control systems and/or motion planner
• Advanced skills in control systems design: robust, adaptive, nonlinear, and model-predictive controls
• Knowledge of online learning algorithms, such as Kalman Filter and Recursive Least-Squares
• Automotive simulation and validation experience (HIL/SIL)
• Knowledgeable in vehicle dynamics and numerical methods
• Experience with software design, Simulink modelling, Python and embedded C/C++ programming
• Excellent oral and written communication skills
• Able to learn independently, highly adaptable and embracing of changes
• High level of interpersonal skills and ability to work well with other team members
• Valid driver’s license
Preferred Qualifications
• Experience with functional safety and ISO 26262
• Knowledge of automotive communication protocols (CAN, LIN, Ethernet)
• Knowledge of embedded control systems and industrial/automotive hardware controllers for ADAS
• Familiarity with vehicle dynamics simulation packages (CarSim and CarMaker)
• Experience being a team leader
• Experience working with Agile/Scrum development processes and tools
]]>General Motors is seeking a curious, analytical, and collaborative graduate student to join the Global Customer Research team for Summer 2027. This project-based internship offers hands-on experience using customer and market research to help inform business decisions across General Motors.
As a Global Customer Research Intern, you will support research projects from planning through delivery, analyze customer and market information, and translate findings into clear insights and recommendations. You will work alongside experienced researchers and internal partners to understand customer behavior, identify meaningful themes, and communicate what the findings mean for the business.
This internship is an opportunity to build experience in both quantitative and qualitative research, supplier management, data analysis, storytelling, and executive communication while helping General Motors keep the customer at the center of its decisions.
The Team
The Global Customer Research team helps General Motors understand the people, markets, and behaviors that shape customer decisions. The team gathers, analyzes, and synthesizes the voice of the customer to provide insights that inform business strategy, product development, marketing, and the overall customer experience.
The team partners with leaders and stakeholders across Brand, Product, Marketing, Planning, Program Management, Engineering, and Design. It also works with external research suppliers to design and deliver studies that answer important business questions. As an intern, you will learn from research managers and collaborate with internal and external partners in a supportive, project-focused environment.
What You’ll Do
Manage research projects and suppliers from beginning to end; holding to time and budget targets.
Collect, review, and analyze market research results; identify key insights from data analysis and recommend appropriate course of action.
Consult with internal stakeholders to frame the specific learning objectives for primary research, and work alongside the research manager to apply appropriate research methodologies that will best fulfill the goal.
Provide internal teams with consumer and market insights – including: Brand Teams, Product Teams, Marketing, Planning, Program Management, Engineering, and Design.
Develop and deliver effective presentations to inform business decisions and strategic initiatives to multiple GM leadership levels and organizations.
Develop quantitative questionnaires and qualitative discussion guides.
Conduct special analyses utilizing current data or industry trends to further enhance the research findings.
Required Qualifications
Currently pursuing a Master's or MBA degree in market research, business administration, economics, statistics, industrial-organizational psychology, or a related field.
Must be graduating between December 2027 and June 2028 .
Available to work full time (40 hours per week) during the internship.
Strong written, verbal, and interpersonal communication skills.
Curiosity about people, markets, and the “why” behind customer behavior.
Willingness to learn, ask thoughtful questions, take initiative, and contribute in a collaborative team environment.
Foundational analytical and critical-thinking skills, with the ability to organize information, identify themes, and communicate clear takeaways.
Ability to manage assigned work, meet deadlines, and stay organized across multiple priorities with guidance from the research team.
Ability to work effectively with teammates, internal stakeholders, and external suppliers.
Foundational ability to use AI-enabled tools for prompt engineering, building and using productivity agents, and drafting, editing, and refining professional documents.
Preferred Qualifications
Curiosity to understand the “why” behind the data and translate findings into clear implications.
Proficiency with Google Workspace, including Slides, Docs, and Sheets.
Hands-on experience using AI-enabled tools for data analysis and visualization.
Experience evaluating AI-generated outputs for accuracy, quality, bias, traceability, and fitness for purpose.
Experience using Qualtrics, including survey programming, JavaScript, Stats iQ, and XM Directory.
Familiarity with statistical concepts and applications.
Familiarity with quantitative and qualitative market research methods, including conjoint analysis and MaxDiff.
Start Date
Start dates for our Summer 2027 internships are May 24th and June 14th of 2027
Work Location
Hybrid: This role is categorized as hybrid. This means the successful candidate is expected to report to the GM Tech Center in 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 2027 Student Program - to help facilitate administration of relocation benefits, 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.)
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%).
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.
]]>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.
As a Senior Global Sourcing Manager, you will be responsible for sourcing Technology purchases (Software, Software as a Service, Infrastructure, etc.) that directly impact GM’s path to automation, on a regional and global basis. You will lead strategic initiatives to evaluate and elevate automation capabilities, while executing robust contracts. Additionally, 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)
The Role:
General Motors Design is seeking a Computational Design Intern to support the development of innovative digital tools, workflows, and automotive design studies within a creative studio environment. This internship offers qualified candidates the opportunity to explore careers at GM while gaining practical experience at the intersection of computational design, digital sculpting, automotive form development, and advanced 3D modeling.
The intern will collaborate with Design, Sculpting, and Engineering teams to investigate new ways of generating, evaluating, and refining digital models of future automotive themes. The role provides exposure to aesthetic decision-making, design technology, production methods, program timing, and the materials and processes used in automotive digital development.
The Team:
The intern will collaborate with GM Design, Sculpting, and Engineering teams in an automotive design studio environment.
What You’ll Do:
· Collaborate with Design, Sculpting, and Engineering teams to interpret sketches, design intent, and technical requirements.
· Develop digital studies, tools, and model variations for future automotive themes using computational design and digital-sculpting techniques.
· Explore parametric, procedural, generative, and automation-based approaches to support automotive form development and design iteration.
· Build and refine 3D models while maintaining an understanding of proportion, line, surface quality, and visual harmony.
· Translate creative concepts into clear digital workflows, prototypes, visualizations, or production-ready modeling studies.
· Support the development of reusable scripts, definitions, templates, or processes that improve design exploration and studio efficiency.
· Work within established digital modeling standards while helping evaluate emerging technologies and best practices.
· Present project progress, design studies, and finished work for Design leadership during midterm and final reviews.
· Support general computational design and sculpting assignments within the studio environment.
· Document methods, iterations, and results so that workflows can be communicated and reused by the broader team.
Your Skills & Abilities (Required Qualifications):
· Pursuit of a bachelor’s or advanced degree in Computational Design, Industrial Design, Product Design, Transportation Design, Architecture, Animation, Game Design, Computer Science, Fine Arts, Sculpture, Ceramics, or a related field.
· Must be graduating between December 2027 and May 2029.
· Able to work full-time, 40 hours per week during the summer months.
· Strong interest in the relationship between design, technology, geometry, and 3D form development.
· Ability to work collaboratively in a creative, iterative, and feedback-driven studio environment.
· Portfolio demonstrating 3D design, computational design, digital modeling, visual development, or related creative work.
What will give you a Competitive Edge (Preferred Qualifications):
· Experience with computational, parametric, procedural, or generative design workflows.
· Experience with software such as Rhino/Grasshopper, Alias, Unigraphics/NX, or comparable 3D platforms.
· Programming or scripting experience in Python, C#, or a similar language.
· Basic understanding of automotive design and sculpting principles, including proportion, line, surface, volume, and reflection quality.
· Experience developing tools, scripts, plug-ins, procedural definitions, or automated modeling workflows.
· Understanding of digital sculpting, polygonal modeling, NURBS modeling, subdivision surfaces, or related 3D techniques.
· Ability to communicate design intent and technical concepts through sketches, diagrams, models, renderings, or presentations.
· Curiosity, initiative, and the ability to learn new software and workflows quickly.
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 GM Global Technical Center 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 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.
]]>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.
At General Motors, our Global Manufacturing Engineering team is transforming facilities and processes to help create an all-electric future. As a Dimensional Performance Engineer, you will lead dimensional quality performance across Body-in-White, Body Shop, General Assembly, and vehicle launch programs. You will use metrology data, structured problem solving, supplier collaboration, and process-control methods to identify and resolve dimensional risks affecting fit, function, appearance, manufacturability, and launch readiness. Your leadership will help reduce variation, improve process capability, and deliver stable, high-quality vehicles from launch through steady-state production.
What You'll 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.
Our Embodied AI teams are redefining what’s possible in driver assistance and automated driving. We pair human‑centered design with cutting‑edge robotics, optimization, and machine learning to create systems that are not just intelligent, but intuitive 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, requesting driver takeover and, when needed, executing a Minimal Risk Maneuver (MRM) to bring the vehicle to a safe stop.
The Role
As a Senior Software Engineer on the Secondary Driving System team within Embodied AI, you will be a strong individual contributor working across the autonomy stack, with a particular emphasis on motion planning and controls in a robotics context. You’ll design and build production‑quality C++ software that spans ML‑based perception, tracking, prediction, planning, and controls, enabling SDS to safely handle faults and reach a minimal risk condition when the primary system cannot.
You will collaborate closely with experts in perception, state estimation, vehicle dynamics, systems engineering, and safety to ship robust, fail‑operational behaviors for Super Cruise and future products.
What You'll Do (Responsibilities)
Minimum Qualifications (Must-Have)
Preferred Qualifications (Nice-to-Have)
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-AV-1
]]>
What You’ll Do (Responsibilities)
Subsystem Leadership & Cross‑Functional Collaboration
Technical Ownership
Product Development Team Leadership
Issue Resolution & Lifecycle Management
Your Skills and 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 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 Detroit, 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):
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.
]]>We are seeking a Senior Vehicle Systems Engineer for hands-on work supporting our test and data collection vehicles in support of the design of future sensing systems. In this role you’ll have the opportunity to work hands on with next-generation sensors to support eyes-off driving and the vehicle platforms they’re integrated on. You’ll work cross-functionally to coordinate integration, support testing, root cause sensor and software problems, support data collection campaigns, and other associated activities.
You’ll have the opportunity to work hands-on with the vehicles at our Detroit and Milford locations with travel to various other test sites on as needed basis.
What You'll Do
Your Skills & Abilities
What Will Give You a Competitive Edge (Preferred Qualifications)
The Role
We are seeking a Senior Systems Engineer with a full stack background 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)
Your Skills & Qualifications (Required)
What Will Give You a Competitive Edge (Preferred)
#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.
]]>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 GM Exterior Team offers opportunities across a spectrum of engineering. These product engineering positions involve responsibility for all activities, including definition of requirements, execution of design, validation, and testing. These roles require a release engineer to lead or participate in a multi-functional product development team. In addition, they require collaboration with peers in the creative design, purchasing, manufacturing, and quality functions.
The ideal candidate is one who desires to build their technical depth as an engineer within the automotive enterprise. This candidate possesses outstanding communication, project management skills, and is a hardworking engineer who enjoys seeking challenges and following through with robust solutions. The skills built with these roles will allow you to grow a strong interpersonal network. This is a foundational position which, done efficiently, will open up possibilities within the company.
What You’ll Do (Responsibilities)
Design Release Engineer Bumper, Grille, Fascia, Trim – The BGFT (pronounced “Big Foot”) engineering department’s deliverables are key to winning our GM customers through attractive exterior styling and performance! Candidate’s primary responsibility is designing, engineering, and releasing exterior subsystems (BGFT).
Your Skills and Abilities (Required Qualifications)
What Can Give You a Competitive Edge (Preferred Qualifications)
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.
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 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 Compartment Integration Design Engineer is responsible for integrating and balancing engineering requirements in partnership with Architecture, SMT, Performance, Human Factors, and Manufacturing. This role works at the earliest stages of vehicle development to integrate innovative technology and advanced design at the systems level.
The ideal candidate brings strong technical judgment, creativity, and initiative, along with a passion for automotive design and the ability to balance customer needs, engineering requirements, and design intent.
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 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.
The Role
The Senior Systems Engineer provides application operations support and application ownership for production-critical applications used at vehicle and propulsion manufacturing sites. Using Site Reliability Engineering practices, this role helps ensure application availability, reliable performance, effective monitoring, and timely issue resolution.
You will work across Linux, Windows, Kubernetes, cloud, Oracle, SQL Server, and PostgreSQL environments. You will collaborate with business and technology teams to troubleshoot issues, implement improvements, support deployments, maintain documentation, and deliver reliable services to manufacturing operations.
What You’ll Do
Your Skills & Abilities (Required Qualifications)
What Will Give You A Competitive Edge (Preferred Qualifications)
Work Environment
This role supports production-critical applications used by manufacturing operations. The position may require support during critical production periods, non-traditional working hours, deployments, patch releases, and on-call coverage. The role provides remote technical support to manufacturing sites and may require work from a designated company facility according to the approved work arrangement.
#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, CPT etc.) Now or in the future.
GM does not support relocation for this position.
]]>Compute & Connectivity Hardware (CCH) is part of GM’s Software & Services organization and owns the hardware foundation for GM’s software-defined vehicles. The team develops and integrates the compute, connectivity, networking, and electronic platforms that support vehicle intelligence, infotainment, ADAS, mechatronic controls, connected services, and over-the-air experiences.
CCH work spans architecture, requirements, hardware design, embedded systems, cybersecurity, functional safety, integration, validation, launch, and field performance. Our engineers collaborate across software, systems, controls, vehicle engineering, suppliers, and manufacturing to solve complex technical problems and deliver reliable, production-ready hardware across GM’s vehicle portfolio.
The Opportunity
Electronic Control Units (ECUs) are central to GM’s Software Defined Vehicle and electrified-vehicle architectures. The ECU Hardware Requirements & Specifications team is seeking a highly experienced Staff Hardware Engineer to provide technical leadership for the development, management, and continuous improvement of hardware requirements, low-level software definitions, and Component Technical Requirements Specifications (CTRS) across GM’s vehicle portfolio.
This role is for a recognized technical leader who can operate across hardware, software, vehicle, electrical architecture, diagnostics, safety, sourcing, manufacturing, and external engineering organizations. The Staff Engineer will shape technical direction, establish common solutions, resolve complex system interactions, and influence decisions across the portfolio without direct people-management responsibility.
The ideal candidate combines deep knowledge of automotive embedded control systems with strong requirements-engineering discipline, systems thinking, business judgment, and the ability to translate complex technical issues into clear decisions and executable outcomes. They will help advance common, traceable, high-quality ECU requirements and support the continued modernization of GM’s requirements-management practices, including DOORS Next-Gen, automation, and leveraging AI to improve requirement quality.
The Role
As a level-8 Staff Engineer, you will serve as a technical authority for ECU hardware requirements and specifications. You will lead complex technical projects, establish alignment across dependent engineering organizations, mentor engineers, and drive decisions through influence, technical rigor, and clear communication.
You will support build-to-spec and build-to-print ECU designs across GM’s diverse vehicle and electrical architectures, including electrification and Electric Vehicle applications. Your work will enable standardized hardware designs, component commonization, requirements reuse, seamless software implementation, and effective downstream verification and validation. You will actively use AI tools to enhance and improve our requirement development process.
What You’ll Do
Required Qualifications
Preferred Qualifications
Success in This Role
Success in this role means establishing technical clarity and alignment across a complex ECU requirements portfolio; enabling common, reusable, and traceable CTRSs; improving the connection between requirements and verification; accelerating adoption of modern requirements-management practices; and helping engineering teams make timely, well-informed decisions. The Staff Engineer will be recognized for technical judgment, system-level thinking, constructive challenge, collaborative influence, and the ability to turn complex requirements problems into durable solutions.
Why Join Us?
This is an opportunity to help define the future of vehicle technology. You'll collaborate with experts across hardware, software, systems, controls, and integration engineering to solve difficult technical problems at scale. Whether you're driving architecture decisions, developing cutting-edge hardware, or validating complex systems, your work will directly influence the capabilities of millions of vehicles on the road.
If you're passionate about designing high-performance hardware, tackling multidisciplinary engineering challenges, and seeing your innovations come to life in production vehicles, we'd love to have you on the team.
LI-JK3
]]>Vacancy Status:
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:
We are seeking a motivated software engineer to help verify and validate Propulsion Thermal Management functions across virtual, simulated, hardware-in-the-loop, and vehicle environments. In this role, you will translate system requirements and behavioral specifications into clear, traceable test cases, develop and execute automated system behavior tests, analyze results, and support the resolution of issues that affect vehicle software quality.
The role is in the Vehicle Software and Electronics Engineering (VSEE) organization. The team is at the forefront of innovation, where vehicle software design, integration, release, and validation come together to improve engineering and quality processes. Your work will help ensure that thermal-management functions—including battery and propulsion-system temperature control, cabin conditioning, diagnostics, and degraded operating modes—perform as intended and support the delivery of high-quality GM vehicles. This work contributes to GM’s vision of a world with ZERO Crashes, ZERO Emissions, and ZERO Congestion.
What You’ll do:
Required Qualifications:
Preferred Qualifications:
Compensation:
The salary range for this role is $73,900 to $110,900. 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.
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:
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 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.
]]>
What You’ll Do
Your Skills & Abilities (Required Qualifications)
What Can Give You a Competitive Advantage (Preferred Qualifications )
What You’ll Do
Your Skills & Abilities (Required Qualifications)
What Can Give You a Competitive Advantage (Preferred Qualifications )
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
General Motors is seeking an experienced System Architect to define the technical vision, architecture, and roadmap for hardware-in-the-loop (HIL) simulation environments supporting brake, chassis, and propulsion thermal management systems.
These environments connect real-time plant models with embedded controllers, sensors, actuators, vehicle networks, and representative vehicle or subsystem hardware. They enable engineering teams to develop, integrate, verify, validate, and calibrate vehicle controls more safely, efficiently, and earlier in the product-development cycle.
This is a senior technical leadership role for an architect who can operate across controls, software, hardware, modeling, test, safety, and program organizations. You will be recognized as a technical authority in your area, lead complex initiatives with broad visibility, and influence decisions across GM without relying on formal authority.
What you’ll do
What you’ll need
Preferred qualifications
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:
Sunnyvale, California
About the Role:
As an Autonomous Vehicle Software Engineer Intern, you will contribute to the design, development, and validation of cutting-edge software powering self-driving systems. You’ll collaborate with experienced engineers across AV Platform teams to build scalable, safety-critical software for autonomous vehicles operating in real-world environments.
What You’ll Do:
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 compensation may not be representative for positions located outside of New York, Colorado, California, or Washington.
Work Arrangement:
Hybrid : This internship is categorized as hybrid. The selected intern is expected to report to the Sunnyvale, CA office up to three times per week or as determined by the team.
General Motors is seeking a Technical Specialist to provide technical leadership for door modules, window regulator systems and door glass across vehicle programs. This role will guide the development, integration, validation and production readiness of these components, ensuring that designs meet functional, performance, quality, cost, timing and customer expectations.
The successful candidate will work across design, manufacturing, safety, quality, purchasing, suppliers and vehicle program teams. The role is ideal for an engineer who can combine deep component expertise with strong systems thinking, practical problem solving and the ability to influence decisions across a complex organization.
We are seeking an experienced engineer with a strong background in SRE, cloud operations, and project ownership to help build and improve reliability practices across our customer-facing OnStar experiences and the services behind them.
What You’ll Be Doing
Design and implement scalable, fault-tolerant, and observable infrastructure supporting OnStar mobile and web experiences, in-vehicle services, and the backend platforms and integrations that power them.
Drive adoption of configuration management , infrastructure refactoring , and testing frameworks to strengthen system resilience.
Partner across SRE, development, and product teams to improve service reliability , deployment safety, and incident response practices .
Provide consultation and contribute to planning on reliability standards for new OnStar capabilities, customer-facing releases, and platform initiatives.
Help evolve and implement an observability approach using tools such as Prometheus, Grafana, and Datadog , with automated alerting and actionable SLO dashboards.
Support and improve on-call practices , manage blameless postmortems, and guide root cause analysis to eliminate recurring failures.
Mentor engineers and support a culture rooted in extreme ownership and operational excellence.
Support compliance and privacy-driven engineering initiatives across connected services, with potential crossover into areas like data retention and safety certification tooling .
What You Bring
6+ years in SRE, DevOps, or systems engineering , including experience mentoring engineers and leading project-level technical work.
Track record of building and maintaining high-scale, cloud-native systems (preferably AWS, GCP, or Azure).
Expertise in container orchestration and deployment strategies using Kubernetes and CI/CD pipelines .
Proficiency in Python, Go, or Java , with strong code review and readability standards.
Experience leading cross-functional infrastructure projects , configuration strategy, or organizational tooling initiatives .
Ability to think and act under pressure — whether debugging a live incident or balancing uptime vs cost trade-offs.
Familiarity with privacy engineering , data security, or experience supporting compliance frameworks is a plus.
Strong communication skills — able to influence, mentor, and lead across diverse technical teams.
Why Join Us?
This is more than an engineering role — it’s an opportunity to help deliver reliable connected experiences customers depend on. 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—improving reliability across OnStar mobile apps, web experiences, in-vehicle services, and the systems behind them.
Hybrid - This role is categorized as hybrid. This means the successful candidate is expected to report to our Limerick office three times per week, at minimum [or other frequency dictated by the business].
Ready to lead reliability at scale? Join our SRE team in Dublin and help power trusted OnStar experiences for millions of customers.
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 Workplace Safety Group - Safety Operations role at General Motors LLC is responsible for ensuring a safe and healthy work environment through the implementation and oversight of occupational safety and health programs and practices across our facilities.
What You'll Do (Responsibilities):
Your Skills & Abilities (Required Qualifications):
This job may be eligible for relocation benefits.
]]>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
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 our office in Markham, ON three times per week, at minimum.
About the Team:
The Software Quality Automation team enables safe, high-quality automotive software delivery through providing infrastructure pieces for continuous integration and delivery, automated testing, quality gates, behavior-driven development tooling, software visualization, and coverage analysis.
We are a collaborative and innovative full stack DevOps tools team focused on building high-quality tools and platforms that empower developers, testers, and system engineers across the organization. Our work sits at the intersection of software quality assurance, DevOps, and tools development—from designing internal web applications and automation frameworks to creating visualization platforms that simplify complex system interactions.
Hybrid Work
This position operates on a hybrid work model, requiring the successful candidate to be onsite a minimum of three times per week
Role Overview:
As a Software Quality Automation Developer, you will be responsible for design and development of internal platforms, tools and automation frameworks that support engineering teams across the organization. You will work on full-stack solutions, from backend services and databases to frontend visualizations — while ensuring quality through test automation, CI/CD integration, and performance monitoring within the organization.
You will collaborate with developers, QA testers, System Engineers and DevOps specialists to build tools that improve workflows, increase visibility into complex systems, and drive consistency across platforms. This role requires a good foundation in software quality practices, automation, software development, and cloud-based development environments, along with curiosity and initiative to learn and grow in both tools development and DevOps practices.
Key Responsibilities
Design and development of internal full stack tools and frameworks that enhance CI/CD pipelines and improve test automation workflows.
Build and maintain full-stack applications that support requirement owners, developers and QA teams in validating software quality and accelerating delivery.
Create solutions that integrate with version control systems, build pipelines, and automated testing frameworks to streamline engineering processes.
Collaborate with developers, DevOps engineers, and QA teams to embed automation, performance monitoring, and IT compliance checks into the software delivery lifecycle.
Required Qualifications
Bachelor’s or Master’s degree in Computer Science, Software Engineering, or related field.
2+ years of experience in DevOps, Software Development, Quality Assurance, tools development, web application development
Experienced in mainstream computing languages such as Python or C++
Familiarity with data structures and algorithms
Experienced in frontend development (HTML, React, JavaScript/TypeScript, CSS frameworks) and/or backend development (Node.js, Express, Flask, GraphQL).
Familiarity with databases (MongoDB, SQL/NoSQL, Postgres, Databricks) and an understanding of how data flows between systems.
Familiarity with test frameworks such as Robot, Unittest, Selenium, PyTest, CppUTest etc.
Strong problem-solving mindset, eagerness to learn, and ability to collaborate effectively with teammates.
Strong oral and written communication skills.
Ability to manage time, meet deadlines, and work independently.
Legal authorization to work in Canada and ability to travel to the US.
Valid Canadian driver’s license.
Preferred Qualifications
Familiarity with cloud platforms (Azure, AWS, GCP) and containerized environments (Docker, Kubernetes).
Experience of working with AI solutions and LLMs (RAG, prompt engineering, finetuning, etc.)
Familiarity of automotive software development or embedded systems.
High level of interpersonal skills for effective collaboration in a geographically dispersed team.
Exposure to BDD frameworks such as Behave, Cucumber, and similar tools, with an understanding of the BDD mindset.
Familiarity of working on GitHub Actions Workflow, VS code extension development
Familiarity with CarSim, dSPACE/Control Desk, or similar HIL tools.
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:
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.
At GM, we look to move humanity forward. We translate breakthrough technologies into vehicles and experience that people love. It all starts with research and development.
In the Connected Experience and Agentic System Research lab, we transform the mobility experience by creating integrated solutions for safe and connected vehicles that our customers love. We are looking for R&D Interns to research, design, and develop groundbreaking technologies in autonomous, connectivity, vehicle architectures, safety, cybersecurity, user experience, displays and simulation. In this internship, you will plan and execute collaborative research to generate new knowledge and sophisticated technology for our vehicles. Our culture of "Innovate Now" gives you the opportunity to be creative and implement designs that could possibly be driving around in the near future!
What You’ll Do:
• Conduct research and/or experiments to collect required data and validate research ideas in the Connected Experience and Agentics System Research Lab (CEASR)
• Document and present results. Depending on the assignment, results could lead to external publications and/or intellectual property
• Execute technical and special assignments related to displays and optics
• Develop and execute specific research plans, including concept generation, development, implementation, and validation
• Collaborate effectively with peers, management, operations groups, and outside organizations
Required Qualifications:
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., H1-B, OPT, STEM OPT, CPT, TN, J-1, etc).
The position is subject to export control restrictions and requires the successful candidate to be a U.S. Person (U.S. citizen, U.S. permanent resident, asylee or refugee).
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 minimum [or other frequency dictated by the business].
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 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
Compensation: The expected base compensation for this role is : $123,000 - $190,000 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.
#GM-AV-1
REQUIREMENTS: Bachelor of Science in Computer Science, Electrical Engineering, Computer Engineering, or related field of study. Five (5) years of experience as a Software Test Engineer – Vehicle Software Management, System Test Lead, Senior Staff Systems Engineer, Software Systems Engineer II, Senior Test Engineer, Test Engineer or related occupation. Five (5) years of experience in the following: Automotive SW Testing or Development, including experience with test automation and test or software architecture; LAN/CAN vehicle communication system and CAN based monitoring tools; Vehicle Electrical Architecture and Subsystem Features in the Infotainment domain; and CAPL Programming and Python Programming. Three (3) years of experience in the following: Operating Systems including Android, Linux and QNX; Project and Test Management; and Requirement Analysis and Systems Engineering. Two (2) years of experience in the following: In-Vehicle Network and Diagnostics, Diagnostic Testing.
#LI-DNI
]]>Onsite- Position does not require an employee to be on-site full-time but the general expectation is that the employee be onsite an average of three (3) days each week
The Role-
GM 테크니컬센터코리아의 생산기술연구소는 프레스·차체·도장·조립·엔진구동에 이르는 전 공정의 생산기술을 책임지며, GM 글로벌 생산 체계의 품질과 효율을 선도하는 핵심 조직입니다. 설비 자동화와 MFG AI 솔루션, 산업공학 기반 공정 최적화를 통해 스마트 팩토리로의 전환을 이끌고 있으며, Zero Crashes, Zero Emission & Zero Congestion 의 3Zero 비전을 실제 생산 현장에서 구현하고 있습니다. 미래 모빌리티 생산기술을 함께 만들어 갈 경력직 엔지니어를 모집하오니 많은 지원 바랍니다.
What You’ll Do -
아래 모집 분야 별 상세 직무설명 및 지원자격 확인 후 지원서 작성시 희망 직무명 기재
Your Skills & Abilities (Required Qualifications) -
학력 : 관련 분야학사 학위 이상 소지자
경력 : 유사 산업 분야 3년 이상의 실무 경험자
어학 : 영어로 기본적인 업무 커뮤니케이션이 가능한 자
기타 : 국내외 출장에 결격사유가 없는 분
상세 지원자격은 각 포지션별 확인
How We Hire -
• 접수마감: 2026년 10월 22일 (목) 자정까지
• 접수방법: GM Career Site 온라인 지원 및 접수 (이력서 또는 자기소개 포트폴리오 첨부 )
-우편, E-mail 및 방문접수는 받지 않으니 유의하시기 바랍니다.
• 전형절차: [지원서 접수] → [서류심사] → [Phone Screen] → Video Assessment] → [면접] → [신체검사] → [온보딩]
- AI Solution 엔지니어 포지션은 Coding Test 진행예정
• 지원서 제출이 완료되면 입력하신 개인메일로 채용절차 진행을 위해 개인정보 동의서가 발송되오니, 개인정보 동의서까지 제출이 완료 된 이후 정상적으로 채용절차가 진행됩니다.
• 지원서 제출 후 수정 및 "지원서 철회" 후 같은 포지션으로 재지원이 불가하오니, 신중하게 검토 후 제출하시기 바랍니다.
• 취업보호 대상자는 관련 법에 의거하여 우대합니다.
• 기재하신 지원사항 및 자격사항이 사실과 다를 경우 합격이 취소될 수 있습니다.
• 기타 궁금한 korea.recruit@gm.com 로 문의해주시기 바랍니다.
]]>The Role
As General Motors continues to expand our portfolio on our way to our Zero, Zero, Zero vision, it is more important than ever that we focus on ensuring that our vehicles are profitable in the marketplace. The Cost Optimization Engineer will focus on all aspects of cost reduction for the propulsion subsystems.
This role will involve the leadership, coordination, and management of all Propulsion Engineering cost reduction ideas through the phases of conceptualization, feasibility assessment, business case development, and execution. It will require a high level of independent judgment, initiative, creativity, and organization. Collaboration with key internal cross functional peers is essential and the selected candidate will have a working relationship with the product engineering team, the purchasing and supply chain team, the vehicle and propulsion program teams, our global joint venture partners in China, and our supplier partners. This position will require regular interaction with technical experts and leadership across the various functions and will provide exposure to the entire portfolio of next generation of vehicle programs while working with leading edge automotive experts and technologies.
What You'll Do
Onsite: This role is categorized as onsite. This means the successful candidate is expected to report to the Toledo Propulsion Systems plant location in Toledo, Ohio. This role may require off-shift, weekend, and holiday support, as needed.
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.
About Toledo Propulsion Systems
Toledo Propulsion Systems is a high-volume manufacturing operation building transmissions for some of GM’s highest demand vehicles. The site brings together production, manufacturing engineering, quality, supply chain, maintenance, facilities and manufacturing systems teams to deliver safe, high-quality and competitive operations.
The Role
The Maintenance Area Manager leads teams responsible for maintaining production equipment, controls systems, plant infrastructure, and facility services. The role partners closely with Safety, HR/LR, Quality, Production, Manufacturing Engineering, Materials, Contractors, and Union Leadership to protect employee safety, improve equipment uptime, reduce downtime, and sustain a high-performing manufacturing system.
What You’ll Do
Safety, Compliance, and Employee Engagement
Maintenance and Equipment Performance
Controls and Automation
Facilities and Infrastructure
Leadership, Business Performance, and Continuous Improvement
Your Skills & Abilities (Required Qualifications)
What Will Give You A Competitive Edge (Preferred Qualifications)
GM Data Engineering is seeking a Senior Manager to lead the teams that build and operate the data, analytics, and AI/ML platforms behind GM Motorsports' racing programs across Formula 1, NASCAR, IndyCar, IMSA, and beyond. You will own the strategy and delivery a data infrastructure that turns high-frequency telemetry, simulation, aero, and trackside data into insights that race engineers and strategists trust, at the track, and between events.
This is a leader-of-leaders role with a significant individual contributor component. You will lead the Motorsports Data Infrastructure and Motorsports Data Science teams through their managers, and bring them together into a single delivery model for data platforms, strategy tools, and AI/ML. You will also stay hands-on as the senior technical authority: setting architecture, reviewing and writing production code, and tackling the hardest problems directly. You will partner closely with Competition Engineering, Vehicle Performance, and Race Strategy, and technical partners to deliver customer facing features.
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 will work on B shift ( 2ndshift) and will be 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):
Your Skills and Abilities (Required Qualifications):
What Can Give You a Competitive Edge (Preferred Qualifications):
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):
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
]]>As the Quality Systems Execution Lead, you will lead engineers responsible for executing quality systems projects that improve manufacturing measurement capability, product quality, launch readiness, and operational performance across Body and General Assembly operations.
You will translate approved strategies and project objectives into clear execution plans, guide technical teams through design and deployment, and provide day-to-day leadership for project delivery. The role requires strong people leadership, technical judgment, supplier and plant coordination, and the ability to drive results in complex, cross-functional manufacturing environments.
You will partner with the Global Quality Center leadership to execute the quality systems roadmap, develop team capability, manage assigned project priorities, and ensure solutions are delivered safely, on schedule, within approved resources, and ready for sustained plant operation.
Hybrid: This internship is categorized as a hybrid. The selected intern is expected to report to the office up to three times per week or as determined by the team.
Location:
Sunnyvale, California
About the Team:
The AV / AI Capacity & Performance Engineering team helps provide the right compute, networking, storage, and AI infrastructure to support AI and ML innovation supporting a wide range of use cases across teams such as Embodied AI, Simulation, Data Science, and more. The team builds capacity models, improves cloud efficiency, supports vendor planning, and develops tooling that makes capacity, demand, utilization, reliability, and cost visible to engineering stakeholders.
Our Capacity Intelligence system is being developed as the team’s operational interface and single point of truth for capacity intake, cloud spending, budget pacing, quota and queue analysis, egress forecasting, and related capacity insights. It is being expanded to incorporate new cloud providers and provide advanced modeling capabilities.
Our tools and systems empower GM to tackle the complexities of autonomous driving technology and expedite our path to commercialization.
About the Role:
As an intern, you will help develop and optimize our capacity intelligence system with a focus on integrating new capabilities.
What You’ll Do:
• Develop scalable infrastructure, tools and insights to support Model Training, Simulation, CI Build and Data Generation insights with the capacity intelligence program.
• Code deliverables in tandem with the engineering team.
• Perform specific responsibilities which vary by team.
Required Qualifications:
• Currently enrolled in a full-time, degree-seeking program and in the process of obtaining a Bachelor's or Master's degree in computer science or a related technical field.
• Experience in systems software or algorithms.
• Experience with modern object-oriented programming languages (e.g., Java,C++, Python). Experience coding in Python.
• Experience with SQL, BigQuery
• Strong communication skills with experience collaborating across cross-functional teams.
• Able to work full-time, 40 hours per week.
Preferred Qualifications:
• Demonstrated software engineer experience via an internship, work experience, coding competitions.
• Familiarity with AI-assisted engineering tools (e.g., for code generation, model analysis, or experiment planning).
• Demonstrated creativity and quick problem-solving capabilities.
• Research and/or work experience in machine learning infrastructure.
• Experience with distributed systems (e.g., Spark, Ray, Kubernetes, Slurm).
• Experience in scheduling algorithms, orchestration or compute.
• Intent to return to degree-program after internship.
• Graduating between December 2027 and August 2028.
Compensation:
• The monthly salary range for this role is $9,600 - $11,800 per month.
• GM will provide a one-time lump sum taxable stipend payment to eligible
students selected for the 2027 Student Program.
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
]]>Hybrid: This internship is categorized as on-site. The selected intern is expected to report to the office 3 days a week.
Location:
Sunnyvale, CA
The Embodied AI Research team advances artificial intelligence methods for autonomous vehicles and embodied systems. We explore how models can combine visual and sensor understanding, language and other modalities, reasoning, prediction, and action to address challenging problems in autonomous driving.
Our work includes foundation models, vision-language and vision-language-action architectures, generative and world models, self-supervised learning, imitation learning, reinforcement learning, multimodal learning, and methods for learning from large-scale driving data. We work closely with engineering teams to translate research into reliable systems for real-world autonomy.
As an Embodied AI Research Intern, you will conduct applied research on a well-scoped project at the intersection of machine learning, robotics, and autonomous driving. You will work with experienced researchers and engineers to develop hypotheses, design experiments, train and evaluate models, analyze results, and communicate findings.
Potential focus areas include:
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., H1-B, OPT, STEM OPT, CPT, TN, J-1, etc.)
To help facilitate administration of relocation benefits if you are selected, please apply using the permanent address you would move from.
Locations:
Warren, Michigan
About the Team:
The Production Mapping organization plays a pivotal role in the software development of mapping solutions to support AV/ADAS at General Motors. This team is responsible for delivering integrated and tested software for various GM features, including Super Cruise.
About The Role:
In this role, you will help the Map Crowdsourcing and Enhancements team solve complex mapping problems using machine learning, advanced algorithms, large-scale data processing, and cloud computing. You will contribute across the development lifecycle—from exploring vehicle data and developing models or algorithms to building scalable data workflows, deploying solutions, and evaluating their performance. Areas of focus may include machine learning, geospatial analytics, distributed data processing, workflow automation, and cloud-based software development.
What You’ll Do:
Required Qualifications:
Preferred Qualifications:
Compensation:
What you’ll get from us (Benefits):
Lead a GM's Customer Care and Aftersales parts distribution center supporting dealers and customers with vehicle parts and post-purchase services. As Warehouse Site Leader, you will lead a unionized hourly and salaried workforce and oversee warehouse operations, budgets, maintenance, labor relations, and compliance. You will drive performance across safety, quality, cost, delivery, and employee engagement through standardized work, lean methods, continuous improvement, technology adoption, and change leadership.
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 $119,500-$186,900. 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."
]]>Global Virtual Engineering (GVE) at General Motors is looking for a driven individuals to become Battery Cell Electrochemistry Analysis Engineer. This position is a highly technical, interdisciplinary role focused on advancing the future of battery cell design.
The role combines electrochemical modeling, data science, battery design optimization, and cross-functional technical leadership to deliver models and tools that guide electrochemical, thermal, mechanical, electrical, and safety-related design decisions for electric vehicles. This involves characterization & optimization of battery cell performance for vehicle range, charging capability, and battery aging effects.
What You'll Do (Responsibilities):
Your Skills & Abilities (Required Qualifications):
What Will Give You A Competitive Edge (Preferred Qualifications):
Relocation: This role MAY be eligible for relocation benefits
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]
]]>At GM environmental, we are geared towards developing creative solutions to complex environmental challenges. As an Environmental Engineer at General Motors, you will have the opportunity to champion the air, waste and water compliance programs and be responsible for developing programs to reduce environmental risk. You will work cross functionally with diverse groups to build and implement best-in-class, sustainable solutions to improve environmental compliance and sustainability across the site. As an environmental engineer, you will be working in an exciting manufacturing environment and be a part of a team fulfilling GM’s Vision of Zero, Zero, Zero.
What You'll Do
Your Skills & Abilities (Required Qualifications):
What Will Give You A Competitive Edge (Preferred Qualifications):
The Cyber Security Incident Handler investigates, coordinates, and resolves cyber security incidents across the enterprise. This role is responsible for the timely triage of alerts, development of investigative hypotheses, evidence collection, host analysis, containment, eradication, recovery support, documentation, and escalation of incidents based on risk and business impact.
In addition to handling incidents, the role improves the repeatability and scalability of response operations by identifying manual or error-prone processes and converting them into documented workflows, automations, integrations, and reusable investigative tools. The successful candidate should be able to develop or maintain Python-based utilities, parsers, dashboards, and command-line tools; build GitHub Actions and CI/CD workflows; and manage security capabilities through Terraform, GitOps, source control, and peer-reviewed deployment practices. The role also supports integrations with threat-intelligence and collaboration platforms such as MISP, Slack, GitHub, Confluence, and Sguil to improve investigation, enrichment, notification, and knowledge sharing.
#LI-SB3
]]>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
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.
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.
]]> 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 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.)
]]>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
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 Structures and Chassis CAE Engineer supports GM Defense by applying finite element analysis tools and methods to the design and development of body structure, RESS structure, chassis structure, suspension, steering components, and other vehicle structures. This role leads analysis activities that assess strength, static and dynamic stiffness, durability, and noise and vibration performance, and translates results into clear design recommendations.
What You'll Do
Your Skills & Abilities (Required Qualifications)
What Will Give You A Competitive Edge (Preferred Qualifications)
#GMD
]]>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.
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 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 (Required Qualifications)
Bachelors Degree in Robotics, Computer Science, Electrical Engineering, or a related technical field.
3+ years or relevant industry experience
At least 3 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.
What Will Give You A Competitive Edge (Preferred Qualifications) :
AV/ADAS experience is a big plus
Masters or PhD in Robotics, Computer Science, Electrical Engineering, or a related technical field.
At least 5 years of extensive experience developing and deploying advanced state estimation and/or sensor calibration systems, particularly in real-time onboard applications.
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
]]> 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 Sub-System Lead Engineer (SSLE) for Electric Power Components will lead the technical definition, integration, and validation of low-voltage electric power subsystems and their vehicle interfaces. The scope includes lead-acid batteries, intelligent battery sensors, DC/AC inverters, generators, and related power, communication, diagnostic, and control interfaces across current and future vehicle programs.
This role is accountable for translating vehicle and system needs into clear, testable subsystem requirements; maintaining alignment across hardware, software, controls, diagnostics, calibration, safety, validation, manufacturing, service, and suppliers; and driving timely resolution of complex technical issues. The SSLE will operate with a high level of independent judgment, influence technical direction across organizational boundaries, and lead work through collaboration rather than direct people management.
The Role
As a senior technical individual contributor, you will own the requirements and technical integration strategy for an assigned Electric Power subsystem or group of interfaces. You will connect customer and vehicle-level needs to component-level implementation and verification, ensuring that the resulting solution is robust, traceable, manufacturable, serviceable, and ready for program milestones.
You will work closely with Design Release Engineers, Functional System Architects, system and safety engineers, controls and software teams, technical specialists, validation teams, manufacturing, purchasing, service, and suppliers. You will also provide technical leadership to cross-functional teams and guide the work of other engineers as needed.
What You’ll Do
Lead the definition and maintenance of subsystem requirements for lead-acid batteries, intelligent battery sensors, DC/AC inverters, generators, and related Electric Power interfaces.
Develop, review, and maintain Sub-System Technical Specifications and, where applicable, Behavioral Technical Specifications, interface requirements, diagnostic requirements, and acceptance criteria.
Decompose system and vehicle requirements into clear, complete, consistent, feasible, and verifiable subsystem requirements with full traceability.
Maintain requirements and interface content in the approved requirements-management environment, including DOORS/DNG or successor tools, and ensure changes are controlled and communicated.
Develop or contribute to Model-Based Systems Engineering artifacts, such as context, block definition, use-case, activity, and internal block diagrams, to clarify subsystem behavior and interfaces.
Lead cross-functional requirement and behavior discussions, including triad reviews and Given/When/Then scenario development where applicable.
Partner with Design Release Engineers and suppliers to ensure component designs, packaging, electrical interfaces, communication behavior, diagnostics, and performance meet subsystem intent.
Collaborate with controls, software, diagnostics, calibration, and systems teams to review implementation, resolve integration gaps, and ensure hardware and software operate as an integrated solution.
Define and maintain the validation intent for the subsystem, including testable scenarios, acceptance criteria, test coverage, and support for the Testable Functionality Roll-Out Plan.
Coordinate with bench, vehicle, simulation, and virtual-validation teams to evaluate designs, investigate anomalies, and close issues using quantitative and qualitative evidence.
Support development and maintenance of subsystem and solution FMEAs, including linkage to safety, manufacturing, service, and software-related failure modes.
Support safety, regulatory, OBD, cybersecurity, and other compliance-related requirements as applicable to the assigned subsystem.
Lead root-cause analysis for subsystem issues, drive corrective actions with the responsible teams and suppliers, and translate approved resolutions into updated requirements or interface definitions.
Participate in design reviews, technical reviews, program milestone assessments, issue reviews, Agile ceremonies, iteration planning, and program increment activities as applicable.
Manage technical work through the appropriate backlog and issue-tracking tools, including Jira, and maintain clear status, decisions, risks, and dependencies.
Drive alignment across multiple vehicle programs and stakeholders when Electric Power components or interfaces are reused, variantized, or changed.
Identify technical risks early, establish recovery actions, and communicate concise recommendations to engineering and program leadership.
Mentor and coach engineers in requirements quality, systems thinking, interface management, validation intent, and disciplined issue resolution.
Required Qualifications
Bachelor’s degree in electrical engineering, mechanical engineering, computer engineering, systems engineering, or a related engineering discipline, or equivalent relevant experience.
At least five plus years of experience in automotive engineering, systems engineering, component development, electrical architecture, or a closely related technical field.
Experience developing, reviewing, or managing requirements for automotive systems, subsystems, components, or interfaces.
Knowledge of automotive communication and diagnostic technologies, such as CAN, LIN, GMLAN, serial data, U-services, RIDs, DIDs, or OBD.
Experience with DFMEA, subsystem or solution FMEA, supplier DFMEA, DRBFM, design reviews, and validation
Experience with low-voltage vehicle electrical systems, including 12V and/or 48V architectures, power distribution, battery systems, sensing, conversion, generation, or related interfaces.
Demonstrated ability to lead complex technical issues from problem definition through root cause, corrective action, validation, and closure.
Experience working across hardware, software, controls, validation, manufacturing, service, and supplier organizations.
Ability to communicate technical decisions clearly to engineers, suppliers, program teams, and leadership.
Demonstrated ability to work independently, exercise sound engineering judgment, manage competing priorities, and influence outcomes without direct authority.
Preferred Qualifications
Experience with lead-acid batteries, intelligent battery sensors, DC/AC inverters, generators, or vehicle power-management systems.
Experience with requirements-management and traceability tools such as DOORS/DNG, Jira, or comparable platforms.
Experience with Model-Based Systems Engineering, SysML, Rhapsody, behavioral requirements, or Given/When/Then methods.
Experience with virtual validation, simulation, co-simulation, electrical analysis, or data-driven troubleshooting.
Familiarity with functional safety, regulatory compliance, cybersecurity, manufacturing, service, and design-for-quality considerations.
Experience leading suppliers and coordinating technical deliverables across multiple vehicle programs.
Success in This Role
Success will be demonstrated by requirements and interfaces that are complete, traceable, testable, and aligned across the vehicle architecture; timely closure of technical and validation issues; disciplined change management; effective supplier and cross-functional execution; and robust Electric Power subsystem integration through development, release, launch, and production support.
#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
This role offers the opportunity to work on critical vehicle electric power content by owning the mechanical and packaging execution of shields for generators, inverters, converters, battery vent tubes, jump start nuts, and related 12V hardware from concept through production. You will influence key integration decisions, solve packaging challenges, and help deliver robust solutions that support successful vehicle launches.
Work Environment
This position requires strong collaboration across electrical, systems, packaging, manufacturing, purchasing, quality, and supplier teams . Candidates should be comfortable leading technical discussions, driving issue resolution, and executing engineering deliverables in support of aggressive program milestones.
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
As a Manager of Autonomy Behavior Systems Engineering, you will lead a team responsible for how autonomous vehicle behavior is specified, evaluated, and supported by evidence. You will set technical direction while creating the conditions for engineers to do their best work across behavior, software, simulation, safety, legal, product, and operations.
You will bring deep experience evaluating autonomous vehicles in commercial fleets and understand the difference between a test that produces a result and a validation system people can trust. You will help define the systems engineering approach, connect requirements to simulation and release evidence, and ensure the team delivers methods and products that support developers, release decisions, and launch decisions.
What You’ll Do
Lead and develop a team of autonomy behavior systems engineers, setting expectations for technical quality, execution, communication, and growth.
Set the systems engineering and validation direction for major capabilities and cross-cutting behaviors, connecting requirements, coverage, simulation validity, metrics, acceptance criteria, and release evidence.
Guide the development of scalable behavior evaluation and simulation systems across synthetic tests, road data, and counterfactual references, including scenario sourcing, orchestration, data quality, and reproducibility.
Partner across Engineering, Safety, Legal, Product, and Operations to resolve ambiguity, build alignment, and communicate clear recommendations for engineering, release, and launch decisions.
Your Skills & Abilities (Required Qualifications)
Master’s degree in systems engineering, mechanical engineering, aerospace engineering, electrical engineering, computer science, robotics, or a related field.
8 or more years of professional experience in systems engineering, autonomous vehicles, robotics, vehicle development, simulation, or safety-critical validation.
A proven record of evaluating autonomous vehicles for a commercial fleet, launch, supervised release, or other high-consequence product decision.
Deep systems engineering fundamentals, including architecture and decomposition, use-case and scene modeling, requirements strategy, interface definition, verification and validation planning, and traceability.
Professional experience defining or leading simulation evaluation at scale, including the trade-offs between coverage, confidence, runtime, cost, and simulation validity.
Strong Python experience. You should be comfortable reviewing production-quality analysis or validation software and understanding how tools and data pipelines support engineering decisions.
Strong communication skills and the ability to create alignment among teams with different goals, terminology, and technical perspectives.
Demonstrated stakeholder management and technical leadership across organizational boundaries. You have led work through influence, not only through formal authority.
Experience as a Tech Lead, Technical Lead Manager, or people manager responsible for delivering complex technical work through a team.
A track record of developing engineers, giving clear feedback, supporting career growth, and building an inclusive, accountable team culture.
What Will Give You a Competitive Edge (Preferred
Qualifications)
Human benchmarking for behavior and safety evaluation, including attentive human benchmark construction, human percentile methods, expert review, and the limits of human references.
Experience with hazard analysis, including structured hazard analysis, scenario-based hazard analysis, failure analysis, or similar methods.
Experience building or using a safety case, writing or reviewing safety claims, and determining what validation evidence is needed to support those claims.
Experience with risk quantification, risk acceptance, severity and exposure reasoning, risk budgets, and mitigation decisions.
Experience turning legal or regulatory expectations into a defensible compliance strategy with requirements, metrics, test coverage, and documented claims.
Experience designing validation lifecycles that connect scope definition, requirements, hazard analysis, coverage planning, test generation, scorecards, release decisions, and continuous monitoring.
Experience hiring, organizing, and prioritizing a technical team through changing product and program 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 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.
#LI-SA2
]]> 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.
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
Lead and develop a team of purchasing professionals and automation strategy leaders supporting equipment, controls, and robotics.
Build an inclusive, high-performance culture focused on safety, innovation & disruption, data-driven decision making, and continuous improvement.
Ensure the right technical and leadership bench strength through thoughtful staffing, coaching, succession planning, and performance management.
Automation Strategy & Roadmap
Develop as part of a team the automation purchasing and strategy vision for GPSC, including multi-year roadmaps for automation platforms, suppliers, standards, and commercial models.
Align automation strategy with vehicle and propulsion program cycles, capacity plans, industrialization/automation strategies, and plant network changes.
Establish and own KPIs for automation performance (e.g., launch readiness, availability, OEE impacts, cost, quality, safety) and drive improvement against targets.
Commodity & Supplier Strategy
Develop and execute global commodity strategies for automation categories (e.g., robotics, controls, material handling systems, vision systems, automated storage/retrieval, MES interfaces, services).
Segment the supply base, define preferred/strategic partners, and negotiate commercial agreements that optimize total cost of ownership, lifecycle support, and innovation access.
Lead supplier risk, resiliency, and capacity assessments for critical automation technologies; define and implement mitigation plans.
Automation Program & Project Support
Partner with Manufacturing Engineering, Logistics & Packaging, and plant teams to ensure automation sourcing and strategy are integrated early in program planning and GVDP milestones.
Support development of standardized specifications, design standards, and repeatable solutions that reduce complexity and enable reuse of automation designs.
Provide oversight and escalation support for key automation sourcing events, launches, and issue resolution, ensuring alignment to timing, budget, and performance requirements.
Process, Systems & Data
Reimagine and standardize purchasing and supplier management processes related to automation (from sourcing through lifecycle management) to improve speed, transparency, and control.
Leverage digital tools, analytics, and automation to manage spend, performance, and risk (e.g., standardized RFQ workflows, cost models, should-cost, supplier performance dashboards).
Stakeholder & Change Leadership
Influence across functions, plants, and regions to align on common standards, platforms, and suppliers; remove roadblocks and drive adoption of new ways of working.
Lead structured change management and communication plans to support deployment of automation standards, new commercial models, and updated processes.
External Engagement & Technology Scouting
Maintain strong external connectivity with automation OEMs, Tier 1 suppliers, integrators, technology startups, consultants, and industry forums to bring leading practices and innovations into GM.
Benchmark GM’s automation cost, performance, and commercial models against best-in-class peers and convert insights into actionable strategies and sourcing approaches.
Capability Building
Design and implement training, playbooks, and communities of practice to build capability in automation technologies, commercial models, and data-driven decision making.
Embed continuous improvement methods (e.g., Lean, OPEX) into how the team manages automation sourcing, negotiations, and supplier performance.
Your Skills & Abilities (Required Qualifications):
Bachelor’s degree in Supply Chain, Engineering (Mechanical, Electrical, Industrial, Manufacturing), Business, or related field.
Minimum 10+ years of progressive experience in purchasing, supply chain, operations, or manufacturing engineering, with significant exposure to automation equipment, controls, or robotics.
Demonstrated people leadership experience, including direct leadership of teams (typically 4–5+ direct reports) and talent development across diverse technical and commercial skill sets.
Proven success leading complex, cross-functional, and global initiatives in a matrixed environment, from strategy through implementation and value realization.
Deep knowledge of sourcing, supplier management, and contract/commercial structures for capital equipment and/or automation solutions, including risk and lifecycle cost management.
Experience supporting or leading automation programs in manufacturing or logistics (e.g., robotic cells, automated material handling, advanced controls, integrated systems).
Strong strategic orientation, analytical capability, and executive communication skills; able to simplify technical complexity and influence senior leaders.
Demonstrated ability to lead through ambiguity, drive change, and challenge the status quo while maintaining strong relationships and alignment.
High learning agility and comfort operating in a fast-changing environment with evolving technologies and competing priorities.
Travel Requirements: Occasional domestic and international travel to GM plants, suppliers, and technology partners up to 50%.
What Can Give You a Competitive Advantage (Preferred Qualifications):
MBA or advanced degree in Business, Supply Chain, Operations, or Engineering.
Hands-on experience with factory automation and digital industrialization (e.g., smart factory, IIoT, digital twins, advanced analytics on equipment performance).
Experience in automotive or complex manufacturing, including launch environments and high-volume operations.
Proficiency with data and analytics tools (e.g., Power BI, Python, ML or AI Agentic development, cost modelling tools, supplier performance dashboards) to support decision making and performance management.
Formal training or certification in AI, ML, Operational Excellence, Lean, Agile, or Change Management.
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.
The Role
The Privacy by Design Engineer is responsible for designing, implementing, and operationalizing privacy controls that embed privacy, data protection, and regulatory compliance into enterprise data platforms, analytics solutions, AI systems, digital products, and vehicle technologies. This role serves as a technical practitioner within a dedicated Privacy Engineering function, ensuring privacy requirements are incorporated early, consistently, and at scale throughout the software development lifecycle.
The engineer collaborates closely with Legal, Privacy, Cybersecurity, Data Governance, Product, and Vehicle Engineering teams to translate regulatory obligations, corporate policies, and privacy risk requirements into practical, reusable technical controls and engineering solutions. This role focuses on building privacy capabilities that enable the compliant use of personal, sensitive, and regulated data while minimizing risk, improving audit readiness, and supporting innovation.
This role explicitly includes responsibility for privacy-by-design implementations involving vehicle-generated data and vehicle software systems. The Privacy by Design Engineer partners with vehicle engineering, embedded software, connected vehicle, and systems engineering teams to ensure privacy requirements are incorporated throughout vehicle development processes. This includes designing privacy controls for vehicle identifiers, telemetry, diagnostics, customer data, sensor data, connected services, and downstream data ecosystems.
The role supports the complete vehicle data lifecycle—from in-vehicle data generation and collection through cloud ingestion, analytics, AI processing, data sharing, retention, and disposal—ensuring privacy protections are engineered into vehicle platforms and services from the outset.
What You’ll Do
Privacy Engineering Solutions
Privacy Control Implementation
Engineering Integration
Standards and Governance
Regulatory and Audit Support
Impact and Outcomes
Your Skills & Abilities (Required Qualifications)
What Can Give You a Competitive Advantage (Preferred Qualifications)
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.)
This job may be eligible for relocation benefits.
#LI-CC1
]]>Preferred Experience Includes:
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.
]]>Preferred Experience Includes:
Primary Responsibilities:
Interested individuals must meet the following minimum qualifications:
Physical Requirements
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:
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.
]]>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:
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.
]]>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:
Additional Description
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
As a Software Engineering - Site Reliability Engineer (SRE) on the Connectivity team, you will drive the reliability, scalability, and performance of critical software systems while solving complex engineering and operational challenges. You will identify opportunities to strengthen system resilience, improve processes, and develop scalable solutions, using data and technical expertise to influence decisions and drive improvements across teams. Working with a high degree of independence, you will own solutions from problem identification through implementation, collaborate across engineering organizations, and serve as a technical resource and mentor to other engineers.
What You'll Do:
Required Skills & Abilities:
• Bachelor of Science degree in Electrical Engineering, Computer Science, Software Engineering, or other related software subject area, or work equivalent work experience.
• 5+ years of relevant experience
• Working knowledge of embedded systems development
• Exposure to module development process, product development, execution, systems engineering, systems integration, or validation
• Working knowledge of Python and Autobot for scripting, automation, test execution, and connectivity issue troubleshooting.
• Knowledge of vehicle diagnostics
• Proficiency in vehicle data communication systems, including CAN and Ethernet.
• Understanding of networking and software development in distributed systems
• Experience that demonstrates strong technical leadership - able to comprehend complex systems and explain these systems to others.
• Creativity and initiative as well as a high level of independent judgment - able to deliver quality results with little supervision.
• Demonstrated experience in the development of requirements, features, detailed designs, and delivery of production releases.
• Ability to root cause issues, track and communicate corrective actions to multiple stakeholders
• Good verbal, written and communication skills
• Passion to learn new technologies
What will Give You a Competitive Edge ( Preferred Skills):
• Master of Science Degree in an engineering field
• Experience in GM production SW development process and Issue tracking systems
• Familiarity with Bluetooth, Wi-Fi, GPS, Cellular, CAN, V2x simulators and test devices
• Connectivity experience (i.e. Telematics, Infotainment, Modules.)
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
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, at minimum.
The Role
As a Mobile Senior Software Engineer, your focus will be on creating cutting-edge mobile applications that provide an exceptional user experience. You will be responsible for the entire app development lifecycle, from conceptualization to deployment and ongoing maintenance. Your role will involve working closely with UI/UX designers, product managers, and software engineers to transform concepts into functional, visually appealing, and performant mobile apps. Your expertise in mobile development frameworks and platforms will be instrumental in crafting user-friendly and feature-rich applications for various mobile devices.
What You’ll Do
Your Skills & Abilities (Required Qualifications)
What Will Give You a Competitive Edge (Preferred Qualifications)
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.)
Relocation benefits are available for candidates who qualify under company policy.
REQUIREMENTS : Bachelor’s degree in Computer Science, Information Technology, Electrical Engineering, or related field of study. Six (6) years of experience as a Software Validation Engineer, Quality Engineer, or related occupation. OR Master’s degree in Computer Science, Information Technology, Electrical Engineering, or related field of study. Four (4) years of experience as a Software Validation Engineer, Quality Engineer, or related occupation. Four (4) years of experience in the following: Working on benches and in-vehicle; Leveraging programming to run test cases on bench and in-vehicle; Launching features with attention to quality testing, debugging, and issue resolution; Interpreting vehicle architectures; Project management; Write Automation Code to run on bench/vehicle; and Build and integrate vehicle bench from scratch including making wire harnesses and power supply.
#LI-DNI
]]>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
]]>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.
#LI-KL2
]]>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%).
In this role, Senior Hardware Design Engineer – Low Voltage Electric Power, you will be responsible for Hardware Design & Execution for any variety of components in the electric power space (e.g. Power Distribution Units, Battery Management Systems, Power Convertors, Inverters, etc.) and develop and/or improve hardware development process with center of expertise. You will work with cross functional teams (semiconductor, DREs, GM software, PCB layout, Mechanical Engineering, Supplier, Validation) to deliver quality product on time.
You will effectively achieve program milestones by thorough and effective program management.
I am seeking a high performing independent engineer to develop winning execution strategies, oversee solutions, resolve issues, and deliver continuous improvement for electric power components considering quality, cost, and timing.
Responsibilities
Requirements
Preferred Qualification
#LI-SW1
This job is not eligible for relocation benefits. Any relocation costs would be the responsibility of the selected candidate
Why Join Us
This role offers the opportunity to work on critical vehicle electric power content by owning the mechanical and packaging execution of shields for generators, inverters, converters, battery vent tubes, jump start nuts, and related 12V hardware from concept through production. You will influence key integration decisions, solve packaging challenges, and help deliver robust solutions that support successful vehicle launches.
Work Environment
This position requires strong collaboration across electrical, systems, packaging, manufacturing, purchasing, quality, and supplier teams . Candidates should be comfortable leading technical discussions, driving issue resolution, and executing engineering deliverables in support of aggressive program milestones.
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
]]>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:
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.
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.
]]>In this Senior Backend Software Engineer role, you will lead and develop high performance backend services and systems for GM Commercial Services' new software solution. This role provides a unique opportunity where you will be working across all of the GM Commercial Services software products, and truly steering the future of GM Commercial Services’ system architecture, APIs, products, and customers. We are an innovation first team, and we need your help to ensure we meet the highest standards. Come join us and let’s innovate!
What You'll Do
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.
Benefits:
#LI-KL2
]]>The Role:
As a Virtual Calibration Development Engineer within GM’s Electrification Propulsion Integration organization, you will help build, integrate, validate, and deploy innovative lab- and simulation-based environments for Calibration Standard Work. Based at the Milford Proving Grounds, you will develop, integrate, validate, and deploy virtual calibration environments and simulation-based workflows while partnering across organizations to improve calibration execution for Production and Advanced Calibration teams. You will also support the integration and correlation of complementary lab, dyno, battery systems, Hardware-in-the-Loop, and charger integration environments as needed.
What You’ll Do (Responsibilities):
Your Skills & 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 Milford, Michigan three times per week, at minimum.
The Role:
We are looking for a Controller System Integration Manager (CSIM) to join our Vehicle Mechatronics Embedded Controls (VMEC) organization! This Controller System Integration Manager is a challenging technical leadership position in the development, integration and launch of embedded controller products in all vehicles.
This Staff position is responsible for creating, communicating, and managing various types of ‘program’ plans and ensuring the on-time delivery of an embedded controller and/or its sub-components. In addition, you will lead the Daily Stand-Up meeting with key partners to ensure all requirements and tasks are met on-time with "world's best" quality. You will also lead and establish technical direction for both internal (GM) and external (supplier) engineering support personnel. This position includes frequent written and oral communication with executive leadership.
Lastly, this role contains a high level of cross-functional responsibility with limited formal authority, providing excellent opportunities for developing and honing the skill of influencing others.
What You'll Do:
Your Skills & Abilities (Required Qualifications):
What Will Give You a Competitive Edge (Preferred Skills):
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.
]]>The Order Fulfillment Software Factory delivers GM’s end-to-end software for two value streams. Source to Deliver covers purchasing, supplier management, supply chain, and logistics. Order to Deliver covers how GM sells, configures, schedules, and delivers vehicles to dealers and customers. The factory is advancing GM’s SaaS First, Cloud First, and AI First direction. It works closely with GPSC Business Area IT, Sales and Marketing Business IT, and GM’s peer software engineering, mainframe, and SAP factories to deliver consistent, modern solutions at speed.
We’re looking for a Software Engineering Manager who codes. You’ll lead a team of approximately 6–12 engineers with a mix of skills, sometimes including a technical lead or first-line lead, that owns a product or service area such as Vehicle Order Management, Order Scheduling, or Global Logistics. You’ll be the team’s technical anchor: scoping complex problems, designing systems, and shipping alongside your engineers. You’ll also make agentic AI coding the default way your team builds, tests, and operates software.
This is a player-coach role. We expect you to spend approximately 30–40% of your time hands-on, including writing and reviewing production code, designing systems, prototyping, and working daily with AI coding agents. You’ll set your team’s technical direction and be accountable for its delivery, quality, and growth.
We are seeking a Senior Systems Engineer – Sensor Packaging and Placement specializing in sensor placement and analysis to join the AV Sensing Design team to support the integration strategy for autonomous sensing suites across diverse vehicles. This role focuses on sensor placement optimization, mounting tolerance stack-up analysis, and coverage trade studies resulting in robust integration criteria for production.
In this position, you will execute sensor location and field-of-view (FOV) and coverage analysis across multi-modality sensor suites, evaluate intrinsic and extrinsic mounting tolerances, and perform placement studies for cameras, radars, and lidars. You will work closely with cross-functional partners in perception, simulation, packaging, and vehicle platform engineering to translate complex environmental and vehicle constraints into actionable integration criteria .
What You’ll Do
You will get the opportunity to contribute to one or more of the following:
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.
Benefits:
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)
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
GM’s AV/AI Platform organization builds the software foundation and engineering tools that power safe, reliable, and scalable autonomous driving and advanced driver-assistance systems. We are building a state-of-the-art AI training platform in close collaboration with model teams to deliver Autonomous car milestones, maximizing model flop utilization and iteration speed, and enhancing inference systems. We are augmenting training, data processing, evaluation and the deployment loop with a data flywheel to validate performance and continuously improve Autonomous driving and Active Safety. We accelerate compute performance through architectural changes and low-level optimizations, informed by advanced HIL platforms, AI tooling and workflows and instrumentation built in-house. We streamline compiler/build and modelbench performance; enhance data processing, preprocessing, and batch inference; and improve monitoring and availability to increase velocity and quality.
About the Role:
As an intern, you will help develop and optimize our AI training platform by improving data processing pipelines, accelerating model training and inference workflows, and/ or enhancing testing infrastructure. You will support tool development, instrumentation, and system monitoring to boost reliability, reduce latency, and increase iteration speed for advancing autonomous driving performance.
What You’ll Do:
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 compensation may not be representative for positions located outside of New York, Colorado, California, or Washington.
Work Arrangement:
Hybrid : This internship is categorized as hybrid. The selected intern is expected to report to the Sunnyvale, CA office up to three times per week or as determined by the team.
Location:
Sunnyvale, California
]]>Vision And Automation Services (VAAS) is an organization within GM IT, building innovative solutions supporting global manufacturing, leveraging current and emerging technologies. One of our initiatives is to protect workers from repetitive, mundane, and dangerous tasks.
The Sr. Software Robotics Engineer is responsible for supporting and reinforcing the adoption of Robotics Software Engineering across the MFG IT organization with the goal of establishing significant improvements in the Manufacturing space relative to manufacturing productivity/efficiency. In this role, you will drive the identification, evaluation, and adoption of rapid iterative and incremental robotics software solutions together with Junior and Staff Robotics Software Engineers and our Manufacturing Engineering business partners. The ideal candidate can embrace, execute and apply Transformative Robotic Technologies, Simulation, ML/DL, Computer Vision and the delivery of turn-key solutions.
Are you a robot engineer with a passion for designing prototypes, building and testing robot cells, who envisions using your ideas, electrical/mechanical knowledge to build advanced technological real-time software applications?
If you want a place that challenges you to bring your curiosity, enthusiasm, desire to learn, grow, and succeed every day, to build automotive solutions that are the benchmark for other automotive companies and suppliers, then this is the place for you.
We are looking for Senior Robotics Engineers who:
In pursuit of a world with Zero Crashes, Zero Emissions and Zero Congestion, GM’s Global Manufacturing Engineering team is transforming how manufacturing systems are designed and launched for future propulsion products. As the DK68 Global Block Machining Lead Engineer, you will serve as the global technical authority for cylinder block machining on the DK68 diesel engine program. You will lead process development, standardization, and continuous improvement from concept through plant handover and sustainment, ensuring safety, quality, cost, and timing targets are achieved across production sites. This role partners daily with Product Engineering, Plant Engineering, Quality, Controls, suppliers, and launch execution teams in a global, matrixed environment.
What You’ll Do
Your Skills & Abilities (Required Qualifications)
What Will Give You a Competitive Edge (Preferred Qualifications)
Our systems collect sensor, vehicle, and scenario data used by teams developing perception, prediction, planning, and other autonomous-driving 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.
You will own projects and technical workstreams that improve the reliability, observability, and operability of fleet-scale vehicle data recording and delivery. You will build Python software across cloud, backend, and data platforms so high-value vehicle and sensor data is captured, transferred, processed, and made usable for autonomous vehicle development.
You will refine requirements, define architecture and execution plans, lead design reviews and reliability investigations, resolve non-routine integration issues, and deliver production-ready solutions that improve service health, data quality, reliability, performance, privacy, and operational readiness. You will connect vehicle symptoms to cloud behavior, identify systemic failure patterns, drive cross-team corrective actions, and apply AI and LLMs to triage, telemetry analysis, issue classification, root-cause investigation, and engineering automation.
You will work across Python services, telemetry pipelines, cloud infrastructure, backend services, data storage, monitoring, metrics, and reliability workflows. You will collaborate across partner organizations—including cloud platform, backend, systems engineering, fleet operations, data engineering, and downstream consumers—to deliver reliable, diagnosable, and scalable fleet data capabilities.
Own project-level initiatives that improve the reliability of vehicle-to-cloud data recording and telemetry workflows.
Develop Python software for telemetry processing, data validation, metrics, reliability automation, and operational tooling.
Build components that capture, filter, validate, package, store, and deliver vehicle and sensor data.
Define data-quality checks, metric semantics, dashboards, service-level indicators, and operational health measures.
Debug complex issues across data pipelines, cloud ingestion, storage, distributed processing, monitoring systems, and backend integrations.
Apply AI and large language models (LLMs) to accelerate issue discovery, failure classification, root-cause analysis, knowledge retrieval, and workflow automation.
Collaborate across cloud, backend, data engineering, fleet operations, and downstream teams to align interfaces, metrics, ownership, and operating expectations.
Improve performance, scalability, observability, privacy, availability, and cloud cost across data workflows.
Deliver reliable software through clear requirements, design reviews, code reviews, automated testing, CI, staged rollout, monitoring, and incident response.
Mentor engineers and contribute to reusable patterns, documentation, tooling, and continuous engineering improvement.
Bachelor’s degree in Computer Science, Computer Engineering, Electrical Engineering, Robotics, Artificial Intelligence, Machine Learning, or a related technical field, or equivalent practical experience.
Experience delivering production-quality Python software, data workflows, or reliability projects with limited guidance.
Experience with embedded SW, Robotics, Automotive, or a similar tech stack.
Strong fundamentals in data structures, algorithms, operating systems, distributed systems, networking, and software design.
Strong Python coding ability, including writing maintainable, testable, observable, and performance-conscious software.
Experience with telemetry processing, data pipelines, cloud services, backend integrations, monitoring, or reliability automation.
Ability to debug complex software, cloud, distributed-system, and data-integration issues and drive root-cause resolution.
Experience owning technical requirements, plans, milestones, risks, and delivery for a project, feature area, or workstream.
Ability to communicate technical tradeoffs clearly and collaborate effectively across engineering teams and organizations.
Experience building Python services, cloud applications, data-processing workflows, or reliability automation.
Experience designing or operating cloud distributed architectures using Kubernetes, Google Cloud services, BigQuery, cloud storage, backend services, or distributed data-processing systems.
Exposure to C++ systems programming, IPC, messaging, networking, serialization, or data pipelines.
Experience with cloud platforms, Kubernetes, container orchestration, cloud storage, backend services, or distributed data processing.
Experience with telemetry, logging, observability, data quality, metrics, dashboards, or fleet-data recording systems.
Experience with APIs, messaging, networking, serialization, storage, SQL, data contracts, or event-driven workflows.
Experience applying AI or LLMs, data analysis, incident triage, workflow automation, or engineering productivity.
Experience with fleet deployment, release monitoring, incident response, root-cause analysis, service-level indicators, or operational readiness.
Experience mentoring engineers, leading design reviews, or driving cross-team and cross-organization technical initiatives.
Prior experience in autonomous driving, distributed systems, data infrastructure, AI/ML infrastructure, platform software, or production operations.
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 128,000 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:
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.
If selected out of Washington, in the future you will need to go to office in Seattle, WA.
GM Defense delivers integrated vehicles, power and propulsion, and autonomy and connectivity solutions to global defense, security, and government markets. GM Defense combines General Motors’ proven engineering and manufacturing capabilities with the mission focus and execution speed required by defense customers.
The Role
The Electrical System Engineer (SE) defines and integrates electrical systems for incoming government programs and special projects. This role translates customer, government, and mission requirements into practical vehicle-level solutions spanning high- and low-voltage power distribution, interfaces, wiring, controls, communications, and subsystem integration. A combination of technical theory and hands-on skills with the confidence and ability to be self-directed in a small team environment will be needed. This role will work with SE's from multiple domain areas (Propulsion/Electrification, Thermal, Survivability, Autonomous, Body, Interior, Chassis, etc.) to develop the entire vehicle design solution that meets the requirements of the Business Development proposal. If the proposal is selected to move forward into production, the SE will guide the team through execution of the project and support the DREs to release parts as needed to support the launch. In addition, key engagement is expected between the internal product owners and vehicle program management.
We are seeking Systems Engineers with priority in the areas of Electrical Architecture Systems Engineering.
What You'll Do
Your Skills & Abilities (Required Qualifications)
What Will Give You a Competitive Edge (Preferred Qualifications)
#GMD
]]>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 Battery and High Voltage (BHV) Agile Release Train (ART). Your focus will be on developing and delivering high-quality software solutions for embedded control systems, specifically for controlling vehicle’s high voltage (HV) battery management, communications, sensing and processing for battery packs within GM’s EV portfolio. Your work will contribute directly to GM's vision of a world with ZERO Crashes, ZERO Emissions, and ZERO Congestion.
What You'll Do :
Your Skills & Abilities (Required Qualifications):
What Will Give You A Competitive Edge (Preferred Skills):
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):
These opportunities are 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 teams work across disciplines and cultures to connect creative ambition with technical feasibility and coordinated delivery, helping transform design ideas into compelling vehicle experiences.
This evergreen requisition is established for talent pipelining purposes. GM China Design Studio is building a long-term pipeline of talent in Studio Engineering, Vehicle Packaging and Design Feasibility, and Design Project / Program Management to support current and anticipated business needs.
We welcome exceptional talent from around the world who are interested in contributing to production programs and advanced design exploration in our China studio. Opportunities may range from developing engineering studies or coordinating project deliverables to independently owning technical integration or complex design programs, depending on experience and business needs.
This posting covers related specialisms rather than a single role requiring expertise in every discipline. Candidates may specialize in studio engineering or project/program management; experience across both is welcome but not required. Engineering opportunities are not limited to a particular interior component or vehicle domain. These are individual-contributor opportunities, and a project or program management title does not imply people-management responsibility.
When submitting your application, please include:
Please ensure all materials exclude undisclosed, confidential, proprietary, or otherwise sensitive information, projects, or data belonging to employers or clients. Share only information you are authorized to disclose; a non-confidential summary of your experience is welcome where detailed work cannot be shared.
Our recruiting and design teams will review your materials. If your profile aligns with a current or future opportunity, a recruiter will contact you to discuss next steps. This is an ongoing talent pipeline, rather than a commitment to an immediate vacancy; contact timing will depend on business needs and relevant opportunities.
If you do not meet every element below, we still encourage you to apply. We value sound judgment, collaborative problem-solving, relevant specialist capabilities, and the potential to grow.
Help bridge creative design, engineering feasibility, and program execution within GM China Design Studio’s broader design delivery and studio operations environment.
Studio Engineering opportunities focus on enabling design through vehicle packaging, architecture studies, technical integration, and surface feasibility. Assignments may span overall vehicle proportions and layouts, interiors, exteriors, body systems, closures, occupant accommodation, or other design-related interfaces. Your scope will reflect your expertise and the needs of the program, rather than an expectation to cover every domain.
Design Project / Program Management opportunities focus on coordinating the people, decisions, dependencies, and deliverables needed to progress advanced and production design programs. You may support individual workstreams or take ownership of integrated program delivery, helping teams balance design intent, timing, content, cost, and quality.
You will collaborate with relevant partners across creative design, digital and physical modeling, Studio Engineering, vehicle architecture, engineering, human factors, manufacturing, product planning, and program teams. Assignments may also involve global studios, regional teams, and joint-venture partners.
Responsibilities will be selected according to your specialization, experience, and assigned program. You are not expected to perform every activity listed below.
We welcome different career paths and levels of experience. The capabilities below describe potential areas of fit, not a cumulative checklist. Depth in studio engineering or project/program management is valued; expertise in both is not required.
We do not apply a single fixed years-of-experience threshold across this talent pipeline. The expected technical depth, program complexity, and level of independence will depend on the position. Prior people-management experience is not required.
Connect advanced exploration with production impact in an internationally connected studio. Whether your strength is solving engineering challenges or coordinating complex design delivery, you can help preserve creative intent and turn ambitious vehicle concepts into achievable outcomes.
We welcome exceptional specialists and cross-disciplinary professionals at different stages of their careers. Your experience, judgment, and potential may align with an opportunity even if your background does not map perfectly to every item in this description.
]]>General Motors has driven success in the EV market through a strong focus on High Voltage Battery Safety. The Thermal Runaway Propagation Diagnostics, Prognostics and Analytics (TRP DP&A) organization is at the center of this effort with a mission to find and mitigate defects before they can result in catastrophic failures in our EVs. The team develops both onboard and offboard software solutions for this purpose, as well as responding to emergency calls through data and information support. All of this is aligned with our core company priority for keeping customers safe.
We are looking for an Engineering Manager to lead the Requirements and Controls Design team that defines TRP Solution requirements and develops robust controls designs for diagnosing internal battery hardware failures that may lead to thermal runaway.
Job Responsibilities
Your Skills & Abilities (Required Qualifications)
What Will Give You A Competitive Edge (Preferred Skills)
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.
]]>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)
This position offers the opportunity to work in a highly collaborative team focused on propulsion-related system models, including thermal, hydraulic, lubrication, and ventilation domains. Build 1D fluid dynamics and coarse 3D thermal models that support design development, validation, and the reduction of hardware testing. Simulations include battery cells, battery packs, drive units, electric motors, power electronics, combustion engines, and transmission-related systems.
GM Defense is seeking a Program Manager, Defense Manufacturing, to lead cross-functional programs and strategic initiatives from pre-award capture support through contract execution. This role is accountable for integrating customer and partner requirements into executable plans; managing cost, schedule, performance, and risk; and aligning internal teams to deliver successful program outcomes.
The successful candidate is a decisive, collaborative leader who performs well in ambiguity, exercises sound independent judgment, and communicates effectively with government customers, defense primes, suppliers, partners, and GM Defense leadership. The role offers the opportunity to help expand GM Defense's presence across the defense industrial base by leveraging General Motors' capabilities in engineering, supply chain management, and manufacturing.
The successful candidate will lead the execution of contracts awarded to GM Defense by traditional defense primes, coordinating business units and suppliers to manufacture and deliver selected components and systems. The role leverages GM’s manufacturing and supply-chain capabilities and supports design-for-manufacturing reviews.
· Program management and integration: Connect requirements, work plans, resources, schedules, deliverables, and decision points into a coherent execution model.
· Leadership and accountability: Set direction, build trust, establish ownership, and motivate teams toward shared outcomes.
· Financial and commercial acumen: Understand budgets, cost drivers, performance variances, and the commercial implications of program decisions.
· Risk, opportunity, and decision management: Anticipate issues, evaluate tradeoffs, develop mitigation strategies, and escalate decisions at the right time.
· Contract and customer management: Understand contractual obligations, manage commitments, and build productive relationships with government and industry stakeholders.
· Communication and executive presence: Deliver concise, credible, and audience-appropriate messages, including status, risk, recommendations, and decisions required.
· Technical fluency and problem-solving: Understand defense acquisition and technical and operational context to manage programs, address challenges, and enable timely decisions.
· Quality and compliance mindset: Embed quality, documentation, process discipline, and protection of sensitive information into day-to-day execution.
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.
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
U.S. citizenship required pursuant to government contract.
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.
REQUIREMENTS : PhD in Chemical Engineering, or related field of study and two (2) years of experience as a Researcher or related occupation. OR Master's degree in Chemical Engineering, or related field of study and five (5) years of experience as a Researcher or related occupation. Two (2) years of experience with the following: Advanced catalytic-converter modeling, including development of 0D and 1D transient models capturing non-isothermal diffusion, convection, and heterogeneous reaction processes in emission-control systems; Numerical simulation of coupled transport–reaction systems, including multi-step surface chemistry, mass/heat transfer, and reactor transients in automotive aftertreatment devices; Development of reduced-order models (ROMs) for exhaust manifolds and multiphase catalytic reactors using CSTR networks, convolution integrals, and residence-time-distribution (RTD) methods; modeling and optimization of three-way catalysts (TWC), including prediction of hydrogen, CO, HC, and NOx breakthrough for HEGO switching and closed-loop control strategies; Experimental characterization of catalyst performance using light-off tests, CO-TPR, OSC measurements, and temperature-programmed methods for validating kinetic and thermodynamic models; Integration of numerical models with physics-based parameter identification frameworks to reduce precious-metal loading and improve emission-control performance; and Development of multi-scale analysis tools combining reactor-scale simulations with catalyst micro-kinetic behaviors to predict transient conversion efficiency under realistic driving cycles.
#LI-DNI
]]>Conduct original research and develop practical AI/ML methods that accelerate GM’s research, engineering, and product development capabilities. This role is intended for a recent or soon-to-be-completed Ph.D. who brings strong depth in one or more advanced AI areas and the ability to work across disciplines. The intern will develop proof-of-concepts (POCs), evaluate them on meaningful engineering or scientific problems, communicate findings clearly, and collaborate with senior researchers and engineering partners to move promising ideas toward impact.
The Team:
GM R&D is seeking an outstanding early-career intern to contribute to advanced work in Artificial Intelligence, Machine Learning, and Large Language Models. The role is designed for a fresh Ph.D. It emphasizes research depth, originality, experimental rigor, and growth toward independent technical leadership. The successful candidate will work with senior researchers, technical fellows, and engineering collaborators to formulate important problems, develop new methods, build research prototypes, and validate results. The work may span causal reasoning, neurosymbolic AI, world models, multimodal and generative AI, engineering agents, or related areas. The intern will be expected to connect theory and experimentation with real engineering needs while maintaining high standards for reproducibility, explainability, uncertainty awareness, and responsible AI.
What You’ll Do:
• Conduct original research in one or more advanced AI areas such as causal AI, neurosymbolic AI, world models, multimodal or generative AI or engineering agents.
• Translate engineering and scientific challenges into well-defined research questions, hypotheses, algorithms, and experimental plans.
• Design, implement, and evaluate machine learning models and proof-of-concepts using real, simulated, experimental, or engineering data.
• Develop methods that can reason about physical systems, causal relationships, uncertainty, constraints, temporal evolution, or complex interactions among components.
• Establish meaningful baselines and evaluation protocols; analyze failure modes, robustness, generalization, interpretability, and uncertainty rather than relying only on headline accuracy.
• Build reproducible research code, data-processing workflows, and experiment pipelines using modern deep learning practices.
• Collaborate with GM R&D researchers and engineering partners to understand domain constraints, validate research results, and identify pathways from POCs to practical use.
• Communicate technical findings through research reports, presentations, publications, invention disclosures, demonstrations, and clear documentation.
• Contribute to technical discussions and research roadmaps by identifying promising approaches, important risks, and high-value experiments.
• Participate in a collaborative research culture that values intellectual curiosity, constructive peer review, responsible innovation, and continuous learning.
More About Who You Are
• A curious and intellectually rigorous researcher who enjoys working on difficult, open-ended problems.
• Deeply grounded in at least one technical area, while eager to learn and collaborate across adjacent AI, computational science, and engineering disciplines.
• Motivated by research that can create measurable value in real-world engineering workflows, not only benchmark performance.
• Comfortable moving between mathematical formulation, algorithm development, software implementation, and empirical validation.
• Able to explain complex ideas, assumptions, limitations, and results to both technical and general audiences.
• Independent in driving research tasks to completion while actively seeking feedback and working effectively with senior mentors and cross-functional teams.
• Committed to careful experimentation, reproducibility, safety, explainability, and responsible use of AI.
Required Qualifications:
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., H1-B, OPT, STEM OPT, CPT, TN, J-1, etc).
The position is subject to export control restrictions and requires the successful candidate to be a U.S. Person (U.S. citizen, U.S. permanent resident, asylee or refugee).
Work Arrangement:
Hybrid: This role is categorized as hybrid. This means the successful candidate is expected to report to Moutain View, CA three times per week, at minimum [or other frequency dictated by the business].
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 $10,300–$13,600 monthly.
The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.
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.
]]>Are you a creative design individual looking to contribute to an ambitious, forward-thinking tech-driven studio? At General Motors Europe, you’ll work at the intersection of creativity, design and cutting-edge technology across multiple brand studios to push the boundaries of what’s possible in automotive design.
General Motors' Creative Design is looking for a Digital Modeler to create digital models by developing aesthetic surfaces which meet time and quality requirements as directed for assigned programs.
You will contribute to the creation of new modeling practices and procedures with occasional demonstrations. If this sounds like you, we would love to hear from you!
Major Duties and Responsibilities:
The role will require close collaboration with the Exterior and Interior Design Managers with the ability to capture the evolution of a Design through digital stimulus and sell the emotional connection to the customer, highlighting the vehicles USP in a modern and compelling way.
The Digital sculptor will need to operate flexible working and strive for the highest levels of quality in the time available, offering surfacing solutions and bringing to life the Designer’s vision in 3D. They assume responsibility for all Digital assets coming from the 3D Creation team and ensure they are completed on time to the highest levels of quality.
Additional Job Description
Skills and Abilities:
Education and/or Training:
PORTFOLIO SUBMISSION INSTRUCTIONS
To be considered for this position, you will need to submit a portfolio in addition to your resume and profile. You may include a link to your online portfolio in your resume OR if your portfolio is not available online, please follow the instructions below to upload your portfolio as a separate attachment as you did with the resume.
1. Save your portfolio as a pdf document
2. Name your portfolio your LAST NAME, FIRST NAME. Example: Candidate name is John Smith. Portfolio pdf file name is: Smith, John.pdf
3. Upload as an attachment - you may have to condense the file.
DISCLAIMER: The Works included in your Career Portfolio must not be subject to any non-disclosure and/or confidentiality agreement. If the Works in your Career Portfolio are owned by your current or former employer, or by any other Third Party, there must be an express written consent from the Owner allowing the Works to be included in your Career Portfolio for sharing with General Motors (“GM”). By sharing your Career Portfolio, you grant to GM the right to quote, paraphrase, reproduce, distribute, or otherwise use all or any portion of the Career Portfolio for purposes of making a hiring determination. By sharing your Career Portfolio, you also agree to release and discharge GM, and its licensees, successors, and assigns, from any and all claims, demands, or causes of action that you may have regarding any use of the Career Portfolio, including (but not limited to) any claims based on the right to privacy, the right to publicity, copyright, libel, defamation, or any other rights.
]]>General Motors has a need for qualified Mechanical Journeypersons (Machine Repair) 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:
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.
#LI-MJ1
]]>The New Architecture Technical Specialist (NATS) at General Motors LLC will lead the design and implementation of innovative software architectures, fostering continuous improvement and driving strategic technical direction across cross-functional teams.
What You'll Do:
Your Skills & Abilities (Required Qualifications):
What Will Give You A Competitive Edge (Preferred Qualifications):
Coordinación de planta de tratamiento de fluentes
Contratos de productos químicos y y limpieza del complejo
Asegurar que los fluentes cumplan con los parámetros del medio ambiente
Coordinación del equipo de trabajo de la ETE, para garantizar proceso en los diferentes turnos
Educación: Ing. Químico
Ingles Intermedio-Avanzado
Herramientas Digitales: Uso IA, Google Workspace
Competencias: trabajo en equipo, solución de problemas, orientado a resultados
Experiencia : Alrededor de 2 años de experiencia en posiciones similares
Posición: 100% en sitio
]]>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
]]>The Low Voltage Infrastructure Team within the Embedded Platform Systems & Infrastructure organization is focused on the development of systems, software and controls centered around on-vehicle low voltage power generation, energy storage, power management, distribution, and consumption control.
There is no better time to join this newly formed team as we evolve to the next generation of low voltage power architectures and consumption control strategies in GM's future Electrical Architecture!
The Role :
We are seeking a highly motivated and detail-oriented Lead Calibration Engineer to join GM's Low Voltage Infrastructure group. This role serves as the Low Voltage Ecosystem Champion, driving system performance quality, calibration consistency, and cross-program alignment. The engineer will act as the single point of contact to program teams, compile full LVI calibration scripts, advise calibration engineers, manage the calibration fleet, lead issue resolution efforts, and support simulation and agile development through story decomposition.
This position supports Electric Power System calibrations across all GM vehicles, with a focus on delivering robust and high-performing Low Voltage Infrastructure (LVI) features. The ideal candidate will take full ownership of LVI feature performance and ecosystem health status, ensuring functionality, reliability, and resilience in areas such as low voltage setpoint control, battery saver modes, and load management. This role requires initiative, technical depth, and leadership to drive institutional improvements and influence calibration strategy across platforms.
Beyond technical expertise, we are looking for a well-rounded, high-energy individual who thrives in collaborative environments and can inspire cross-functional teams. Success in this role hinges on strong communication skills, the ability to balance strategic vision with hands-on execution, and a passion for driving innovation in simulation, lab, and vehicle environments. If you're ready to lead the charge in shaping GM’s future low voltage systems, we want to hear from you.
What You'll Do (Responsibilities):
Key Behaviors:
Your Skills & Abilities (Required Qualifications):
People Skills:
What Will Give You Competitive Edge (Preferred Skills):
#LI-DH2
At General Motors, we are redefining mobility through human-centered design and advanced engineering. Our teams create vehicles and experiences that go beyond transportation—delivering safety, intelligence, and connectivity at scale
About the Role:
As a Senior Product Engineer, you will be responsible for leading product development and Core Engineering / integration activities within the Seat Core Engineering team. Responsibilities include utilizing engineering tools and processes to successfully develop seat variants for vehicle programs.
Effectively achieve program milestones by thorough and rigorous program management.
What You'll Do: (Responsibilities):
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 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. 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
Lead Industrial Engineering activities and serve as a subject matter expert for manufacturing processes and engineering tools. Partner with global plant and engineering teams to improve safety, quality, delivery, productivity, cost, and process standardization.
What Will Give You a Competitive Edge (Preferred Qualifications)
The Staff Data Engineer is an expert-level individual contributor who sets technical direction for complex Motorsports data engineering initiatives. This role works independently with broad latitude, applies deep expertise and sound judgment to ambiguous problems, and delivers solutions with measurable impact across teams and functional areas.
The role will lead architecture and engineering practices for real-time data ingestion, telemetry, data quality, cloud platforms, and race-day operational systems. The Staff Data Engineer will influence technical decisions across the organization, mentor engineers, and partner with engineering, data science, platform, product, and racing stakeholders to deliver durable business outcomes.
This role is expected to operate as a recognized subject-matter expert, develop solutions to broad and complex problems, lead initiatives with cross-functional visibility, and make measurable contributions to functional outcomes. The role will set objectives for technical and operational results, influence decisions across organizational boundaries, and multiply impact through mentoring, reusable practices, and effective collaboration.
GM behaviors
The Staff Data Engineer is expected to demonstrate GM behaviors by:
Success measures
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 160K -180K. 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 seeking a Technical Lead for Electromagnetic Compatibility (EMC) and Electrostatic Discharge (ESD) engineering. In this role, you will provide technical leadership for vehicle electrical and electronic systems, helping ensure robust performance, regulatory compliance, and customer satisfaction across the product development lifecycle.
You will partner with electrical, systems, controls, software, packaging, validation, manufacturing, and supplier teams to identify risks early, guide verification strategies, resolve complex issues, and establish consistent engineering practices. The successful candidate will be a recognized technical expert who can translate EMC and ESD requirements into practical system-level solutions.
At GM, you will help develop the electrical and electronic technologies that enable the next generation of vehicles. This role offers the opportunity to influence vehicle-level performance, collaborate with experts across the enterprise, and shape the engineering practices used to deliver robust products at scale.
What You’ll do
Your Skills & Abilities (Required qualifications)
What Will Give You A Competitive Edge (Preferred qualifications)
What will make you successful
The position is subject to export control restrictions and requires the successful candidate to 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
]]>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.)
Onsite: This role is categorized as onsite. This means the successful candidate is expected to report to the GM Defense Production Facility on a full-time basis (shift is four (4) 10's, Monday - Thursday) 2nd shift.
Relocation:
This job may be eligible for relocation benefits.
About GM Defense:
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 is seeking a highly motivated, dynamic individual looking for an opportunity that will allow them to showcase their talents and have an impact in a strategic growth area. Our ideal candidate thrives in ambiguity and demonstrates problem-solving leadership with limited oversight!
The Role:
The Process Technician is responsible for fitment and installation of automotive components in your general function. In addition you will use error proofing equipment, torque guns and general assembly tools, to carry out the responsibilities of your role with safety at the forefront. This role will also give you the opportunity to stay abreast of current product development and trends in your area of responsibility. The ideal candidate will have a strong mechanical aptitude, ability to follow sequencing, have basic computer user and terminology awareness. The role allows you to make most job- related decisions with minimal assistance and will help to provide suggestions and guidance to other teammates as needed.
What You'll Do;
Your Skills & Abilities (Required Qualifications)
What Can Give You a Competitive Advantage (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.)
Onsite: This role is categorized as onsite. This means the successful candidate is expected to report to the GM Defense Production Facility on a full-time basis (shift is four (4) 10's, Monday - Thursday) 2nd shift.
Relocation:
This job may be eligible for relocation benefits.
PLEASE NOTE:
The position is subject to export control restrictions and requires the successful candidate to be either 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
]]>
What You’ll Do
Your Skills & Abilities (Required Qualifications)
What Can Give You a Competitive Advantage (Preferred Qualifications )
#LI-SB3
]]>The Role
As a Field Warranty Manager, you’ll be responsible for providing warranty process support to our dealers. You’ll work with dealer partners to monitor warranty data and perform direct contact to review Job Cards, observe dealer processes, and make recommendations on improvements. If you’re energized by using a combination of technical and people skills to make a measurable impact, this role has a lot to offer.
What You’ll Do
Your Skills & Abilities (Required Qualifications)
What Can Give You a Competitive Advantage (Preferred Qualifications)
This role is a staff level individual contributor within the Platform Security Engineering pillar of GM’s broader Security Services organization.
In this role, you will serve as a staff software engineer and application-layer security expert responsible for designing, building, and operating production-critical authorization services. You will lead delivery of strategic authorization capabilities, raise engineering standards for authentication and authorization, and help define how users and systems sign in and what they are permitted to do. You will shape technology direction, mentor engineers, and partner with managers to deliver secure, reliable, and easy-to-operate security products across the organization.
This is an execution-focused role requiring deep expertise, in which influence is earned through technical credibility, mentorship, and leadership by example.
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 $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
]]>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
]]>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.”
]]>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.
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.
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.
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
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.
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.
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.
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
]]>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:
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.
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]]>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.
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#GM-AV-1
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
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.
The Role
GM’s Vehicle AI Experiences team is building the next generation of intelligent experiences for GM vehicles. Our mandate is simple: own what the driver can do and how it feels.
We are seeking hands-on Staff and Principal Software Engineers who can turn ambiguous customer problems into high-quality, production-ready experiences. You will work primarily in Kotlin and Android Automotive, while owning features across the broader in-vehicle assistant stack—including conversation design, natural language understanding, LLM behavior, vehicle integration, connected services, and UI.
The center of gravity for this role is product engineering rather than AI research or agent-platform specialization. We value broad engineering judgment, rapid learning, and a record of shipping complete products more than expertise in any particular AI framework.
This is a small, fast-moving team. You will have substantial autonomy, remain close to the code, help determine what we build, and improve how the larger organization delivers software.
Define and build driver-facing capabilities from concept through production.
Own features end to end—from the driver’s request and conversational behavior through on-device fulfillment, vehicle integration, UI, validation, and iteration.
Write production Kotlin and contribute across adjacent technologies such as Python-based agent definitions, NLU, LLM orchestration, APIs, and connected services.
Rapidly prototype new experiences, evaluate them in realistic vehicle environments, and turn successful ideas into reliable products.
Partner with Product, UX, conversation design, vehicle software, systems, platform, safety, privacy, and validation teams.
Make pragmatic tradeoffs among customer value, speed, reliability, latency, offline behavior, resource constraints, maintainability, and driver distraction.
Diagnose complex issues across application, assistant, vehicle, and cloud boundaries.
Use AI-assisted development workflows to accelerate design, implementation, testing, debugging, and codebase understanding while maintaining a high quality bar.
Establish reusable engineering patterns and lightweight workflows that help the team deliver faster.
Mentor engineers through implementation, design reviews, code reviews, and direct technical collaboration.
Help shape the roadmap for in-vehicle AI experiences and identify opportunities that emerging technology makes possible.
Bachelor’s degree in Computer Science, Engineering, or a related discipline, or equivalent practical experience.
Significant experience building and shipping production software:
Staff: Minimum 8+ years.
Principal: Minimum 10+ years.
Strong hands-on software development skills in Kotlin, Java, C++, Python, or a comparable language, with the ability and interest to work primarily in Kotlin and Android.
A record of independently delivering complex, user-facing features across multiple components or systems.
Ability to turn ambiguous customer or business goals into concrete designs, incremental plans, and working software.
Strong system-design, debugging, testing, and operational-quality judgment.
Experience leading technical work across organizational or functional boundaries.
Clear communication with engineers, designers, product partners, and technical leadership.
Demonstrated ability to learn unfamiliar technologies quickly and apply them pragmatically.
Experience using modern AI-assisted software-development workflows effectively and responsibly.
Experience in one or more of the following areas is valuable. We do not expect candidates to have all of them:
Android or Android Automotive OS, including Kotlin, Jetpack Compose, Android services, IPC, or system applications.
Automotive, infotainment, embedded, robotics, consumer-device, or other resource-constrained software.
Vehicle integration, including VHAL, vehicle services, signals, APIs, or automotive networks.
Voice assistants or conversational products involving ASR, NLU, TTS, dialogue systems, or conversation evaluation.
LLM-enabled product development, including tool use, orchestration, prompt design, grounding, evaluation, or fallback behavior.
Building intuitive UX for multimodal or safety-conscious environments.
Python, cloud-connected services, authentication, or distributed systems.
Automated testing, observability, performance analysis, CI/CD, and field-quality feedback systems.
As a Staff Engineer, you will independently own a major capability or product domain. You will lead ambiguous cross-functional initiatives, establish effective technical patterns, and raise the delivery and quality bar for the team while remaining deeply involved in implementation.
As a Principal Engineer, you will shape technical and product direction across multiple capabilities. You will resolve difficult architectural and organizational boundaries, influence strategy across teams, and multiply the effectiveness of Staff and Senior engineers. You will remain hands-on, focusing direct implementation on high-risk, architecture-defining, and cross-cutting work.
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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]]>We are looking for a Senior Software Systems Engineer to develop the methods, software, and quantitative evidence used to measure confidence in autonomous vehicle validation results.
This role sits at the intersection of software engineering, systems engineering, simulation, statistics, and data science. You will help answer questions such as: Do our tests provide sufficient coverage? Are our metrics meaningful? Can simulation results predict real-world performance? How confidently can we detect a regression or support a release decision?
This role is a strong fit for someone who has experience with both programming and physical or cyber-physical systems such as autonomous vehicles, robotics, aerospace, industrial systems, or other complex engineered products.
Develop scalable frameworks and methods for measuring validation confidence across simulation and real-world testing, including coverage, sampling, metric quality, statistical significance, and regression detection.
Build tools and data pipelines for test execution, analysis, metric computation, scorecards, and confidence reporting.
Evaluate simulation validity and road predictive power using measurable, defensible criteria; analyze test and vehicle data to identify uncertainty, pipeline issues, regressions, and gaps in evidence.
Translate validation claims and release questions into requirements, experiments, test suites, metrics, and quantitative decision criteria.
Improve the throughput, repeatability, and quality of validation workflows.
Partner with simulation, safety, autonomy, and release teams, and communicate conclusions, assumptions, limitations, and recommendations clearly.
Strong programming skills in Python, C++, or a comparable language, with experience writing clear, testable, maintainable code.
Experience applying engineering or quantitative methods to a physical, cyber-physical, or other real-world system.
Ability to turn ambiguous validation questions into measurable requirements, metrics, experiments, or decision criteria, and investigate complex behavior using incomplete or noisy data.
Ability to collaborate across disciplines and explain technical results with appropriate precision and context.
Bachelor’s degree in engineering, physics, applied mathematics, statistics, data science, or a related technical field, or equivalent practical experience.
Experience with autonomous vehicles, robotics, simulation, aerospace, industrial automation, or another safety-relevant engineered system.
Experience with verification and validation, test automation, scenario generation, requirements-based testing, or performance benchmarking.
Experience designing coverage measures, scorecards, confidence metrics, or regression-detection methods.
Experience with simulation-to-real-world correlation, predictive-validity analysis, or comparing results across test environments.
Applied knowledge of probability, statistics, experimental design, or data analysis, including hypothesis testing, confidence intervals, power analysis, sampling strategies, or precision and recall.
Experience with data pipelines, SQL, scientific computing, or large-scale test execution.
Graduate degree or equivalent depth in engineering, physics, applied mathematics, statistics, data science, or a related field.
Validation results have clear, quantitative confidence and known limitations.
Coverage, metrics, and sampling are tied to the claims and decisions they support.
Regressions and progressions are detected reliably, simulation performance is evaluated against real-world outcomes, and the evidence supports decisions about risk, readiness, and release.
You are interested in how to know whether a complex system is working, not only in how to implement one component. You enjoy moving between code, data, statistical models, experiments, and system-level questions, and you are comfortable learning the physical and operational context needed to interpret results correctly.
You may come from systems engineering, robotics, physics, mechanical or electrical engineering, applied mathematics, statistics, data science, or a related background. The common thread is the ability to program, reason quantitatively about physical systems, and apply both to the validation of a real system.
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
The Role:
The Power and Signal Distribution Systems (PSDS) Lead Engineer is a key position responsible for designing and implementing the entire power and signal distribution system for vehicle programs. In this role the employee will oversee design rework, ICDe integration, and release of key prototype deliverables—including prototype rework documentation and 2D stick drawings—to enable higher software fidelity and support high-quality physical builds. This opportunity will require the employee to interface with colleagues around the world, as well as, to lead a team of engineers. The position entails working closely with vehicle program teams, other Product Development engineering groups such as interiors and body/white, chassis, validation, program team, purchasing, marketing, and manufacturing.
What You’ll Do:
Provides program specific requirements for sourcing process
Provides technical background in PSDS supplier technical reviews
Creates initial harness parts list and complexity studies
Maintains consistency of effort for the program - knows the PSDS Statement of Requirements, program, timing, issues, plan etc. and manages details when changes are required
Manages efforts of the supplier within the engineering factory
Identifies and schedules training needs accordingly with EGM approval
Participates in interface tradeoffs and resolves integration issues
Manages the cost, quality, mass, etc. for the power and signal distribution system including content and program changes
Supports Pre-Production build events including both physical and virtual builds
Ensures that the design, development, and electrical release of the Wiring System are integrated within the vehicle architecture with quality
Conducts Product Development Team meetings to ensure deliverables and timing are met
Leads benchmarking analysis to support innovation, tradeoff or cost /benefit analysis
Leads Peer and Wire Harness Assessment reviews
Provides assembly plant launch and remediation support
Generates technical solutions for current, new and major programs with engineers
Provides technical leadership for advanced technology development
Performs complex design analysis
Develops engineering designs (including subsystems)
Implements engineering changes
Specifies and balances system requirements
Plans and implements test and/or development programs
Releases parts and subsystems for production
Communicates, coordinates, and consults with engineering departments and customers
Stays abreast of new technology and competitive products
Travels as required
Interface between TS and DRE on design direction
Directs and facilitates assigned team members to appropriate experts (TS, program electrical architect, program lead wiring engineer, etc.)
Provides complexity reduction ideas as a direct interface with marketing
Leads discussion with program teams on design and execution, i.e. Vapir, VCIT
Your Skills & Abilities (Required Qualifications):
Bachelor of Science in Engineering, Computer Science, Math, Chemistry or Physics
Minimum of 7 years of professional engineering experience
Minimum of 5 years of engineering experience in Power Signal or Wire harness packaging
Understanding of engineering theory and principles of operation of mechanical/electrical mechanisms
Demonstrated technical and professional skills in job-related area required
High level analytical ability where problems are unusual and complex
Strong interpersonal skills with the ability to work independently and effectively with others
Knowledge of engineering software and systems as it pertains to job-related area
This position requires the ability to legally operate a motor vehicle on a regular basis and successfully complete a Motor Vehicle Report review.
What Will Give You A Competitive Edge (Preferred Qualifications):
Masters Degree
5+ years of engineering experience in Power Signal or Wire harness packaging
Experience Leading a Release Execution Team
Program Management Skills
#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.
]]>REQUIREMENTS: Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, Electronics or a related field of study and Five (5) years of experience as a Salesforce Developer or related occupation OR Master's degree in Electrical Engineering, Computer Engineering, Computer Science, Electronics or a related field of study and Three (3) years of experience as a Salesforce Developer or related occupation Requires three (3) years of experience with the following: Software development; Programming and configuring with Force.com Apex, Lightning Components, Lightning Web Components, Visualforce, Flows, Omni Script, Flex Cards, JavaScript (ES6), ReactJS or similar platforms; Designing and developing large scale technology solutions with substantial insights into Salesforce Sales Cloud, Service Cloud, and Communities; Object Oriented (OO) design patterns; Salesforce's SOQL and SOSL, Security model, Sales Cloud, Service Cloud, Chatter and Force.com product offerings; Designing 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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]]>A General Motors (GM), direcionando a sua atenção para possíveis novas oportunidades, abrindo a busca com foco na captação de profissionais para seu banco de talentos e oportunidades futuras do Complexo Automotivo de Gravataí-RS.
Comprometida em ser, não apenas um local de trabalho livre de discriminação, mas que incentive genuinamente a inclusão e o pertencimento, desde as fases de estágio até os mais altos cargos da montadora de automóveis, a GM assegura que todas as pessoas são bem-vindas.
Além disso, dentre suas responsabilidades, a marca tem como prioridade deixar o mundo um lugar melhor, oferecendo mobilidade às pessoas de maneira mais segura e sustentável. Busca gerar um futuro com zero acidentes, zero emissões e zero congestionamentos.
Venha fazer parte da maior fabricante de automóveis do mundo, que está com oportunidades incríveis para pessoas talentosas e que buscam se desenvolver na indústria.
Para se candidatar basta ter Ensino Fundamental Completo e residir nas cidades de Porto Alegre, Guaíba, Viamão, Cachoerinha, Canoas, Gravataí, Sapucaia, São Leopoldo, Esteio, Santo Antônio ou Glorinha. Ter disponibilidade para trabalhar em qualquer turno e, ocasionalmente, aos finais de semana.
Atividades:
- Atuação na linha de produção de automóveis, montagem e instalações de painéis, de tapeçaria, de motor, de bancos, de portas, lâmpadas, etc.
- 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 seguranças estabelecidas pela empresa para que possa realizar as atividades de maneira segura;
- Revezar os postos de trabalho.
Qualificações
- Ensino fundamental completo
- Disponibilidade para trabalhar em qualquer um dos turnos e aos finais de semana/ feriados, caso necessário
- Disponibilidade para atuar em Gravataí
- Será um diferencial se possuir experiência em montagem em indústria automotiva, autopeças, concessionárias, instalações de sons, pintura automotiva, tapeçaria.
]]>Preferred Experience Includes:
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:
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.
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REQUIREMENTS : Bachelor's degree in Business, Finance, Engineering, Mechatronic Engineering, or related field of study and Three (3) years of experience as a Cost Engineer, Launch Engineer, Product Engineer, or related role. Three (3) years of experience with: Activity Based Costing including material piece cost, ED&D and tooling from design math and “black box” physical sample tear down; Manufacturing Process experience including injection molding, stamping, brazing, aluminum extrusion, SMT/electronics, casting, machining and general assembly for high volume automotive component applications; Automotive Component experience with a variety of components; Automotive Tier 1 Supplier Quote Analysis; Commercial Negotiations including material piece cost, ED&D and vendor tooling with international Tier 1 automotive component suppliers; Design to Cost/VAVE, Cost Optimization, and Benchmarking; Data Analytics; and Costing software, demonstrating command of it, and training other people.
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]]>Lead operational supply chain execution from supplier to manufacturing site while building the next‑generation capabilities required for a more resilient, data‑driven, and agile supply chain. This role ensures uninterrupted material flow, vehicle and service parts availability, and disciplined response to daily disruptions—while simultaneously elevating team capability through innovation, digital adoption, and continuous upskilling.
You will manage and develop a high‑performing team responsible for translating demand into executable supply plans, stabilizing operations, and modernizing supply chain execution across suppliers, plants, logistics partners, and internal stakeholders. There will be strong emphasis on Change Management, transforming supply planning to synchronize planning systems where suppliers align demand, production and capacity.
Role may include:
Operational Leadership & Execution
Own day‑to‑day operational supply chain execution to ensure material availability for automotive manufacturing and service parts fulfillment
Lead rapid issue identification, containment, and resolution for supply, capacity, logistics, and supplier disruptions
Lead Engineering change management ; future material availability related to launch excellence
Partner cross‑functionally with Manufacturing, Purchasing, Logistics, Engineering, Quality, and Finance to drive timely decisions and trade‑offs
Manage and escalate operational risks with clear visibility to impact, recovery plans, and customer exposure
Monitor and improve core operational KPIs (material availability, supplier performance, inventory health, premium freight, schedule adherence)
Assess supplier ship plans, capacity constraints, and recovery actions to protect production and customer commitments
Innovation & Continuous Improvement:
Lead the reimagination of operational supply chain processes , leveraging data, automation, and digital tools to improve speed, visibility, and execution discipline
Within Global Supply Chain’s Demand and Supply Planning team, you will help drive innovation in the space between supply planning and supply operations to help GSC become more predictive and less reactive
Identify and deploy innovative solutions that reduce manual work, improve decision quality, and strengthen operational resilience
Translate emerging technologies and analytics into practical, scalable operational use cases
Drive standardization and simplification through improved tools, workflows, and operational playbooks
Champion a culture of continuous improvement and problem‑solving rigor , grounded in real‑world execution
Talent Development & Upskilling:
Build a future‑ready supply chain organization by actively developing team capability in analytics, digital tools, systems thinking, and operational decision‑making
Establish clear expectations for skill progression, learning, and capability building across the team
Coach leaders and individual contributors to operate effectively in high‑ambiguity, fast‑paced environments
Foster a learning culture that encourages curiosity, experimentation, and adoption of new ways of working
Lead performance management, succession planning, and talent development to ensure bench strength and long‑term organizational health
Leadership & Communication:
Provide clear, concise communication to leadership during both crisis situations and routine operating reviews
Influence without authority across global, cross‑functional stakeholders
Operate with urgency, accountability, and decisiveness while balancing short‑term execution with long‑term capability building
Your Skills & Abilities (Required Qualifications)
Bachelor’s degree
10+ years of experience across automotive supply chain, manufacturing operations, launch excellence, or service parts
Proven experience leading teams (minimum 4–5 direct reports) in complex, high‑pressure operational environments
Deep understanding of material flow, production scheduling, supplier management, and logistics operations
Demonstrated ability to drive innovation and capability transformation within an operational organization
Strong operational judgment with the ability to make timely decisions with incomplete information
Advanced proficiency in Excel, Power BI, and PowerPoint ; experience translating data into action
Executive‑level communicator able to summarize issues, actions, and risks succinctly
Must be willing to travel 10- 40% domestic + international
What Can Give You a Competitive Edge (Preferred Qualifications):
Master’s degree
Experience supporting automotive plants, service parts operations, or global supply networks
Experience in Google suite
Demonstrated results delivering operational stability, cost reduction, and capability transformation
Proven track record of connecting business needs with innovative, execution‑focused solutions
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
What You'll Do
• Contribute to the definition of the product vision, strategy, and roadmap based on customer needs and market trends.
• Collaborate with cross-functional teams, including engineering, design, marketing, and sales, to ensure product goals and priorities alignment.
• Conduct market research and competitive analysis to identify market opportunities and potential threats.
• Develop and manage product requirements, including user stories, use cases, and functional specifications.
• Create and maintain product backlogs and prioritize features and enhancements based on business value, customer needs, and technical feasibility.
• Work closely with UX/UI designers to develop intuitive and compelling user interfaces.
• Define and track key metrics using OKRs and KPIs to measure product success and inform future decisions.
• Communicate product updates, progress, and plans to stakeholders across the organization, including executives, customers, and partners.
• Manage product launches, including developing go-to-market strategies and coordinating cross-functional teams to ensure successful product launches.
• Conduct post-launch analysis to evaluate product performance and identify areas for improvement.
• Continuously iterate and improve the product based on user feedback, market trends, and business goals.
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 the 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 $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
]]>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)
The Role: The Occupational Health Registered Nurse – PRN/per diem is responsible for providing emergency care, first aid and episodic treatment of occupational injuries and illnesses within standing orders. This position is meant to be ad hoc in nature with shifts to be scheduled in advance based on need and availability.
This position earns $44 an hour. This rate is non-negotiable.
What You'll Do:
Your Skills & Abilities (Required Qualifications):
What Can 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 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 is not eligible for relocation benefits. Any relocation costs would be the responsibility of the selected candidate.
]]>
REQUIREMENTS: Master’s degree in Business Administration, Management Science, Financial Management, Economics, Accounting, or related field. Three (3) years of experience as a Proprietary Trader, Economist, or related occupation. Three years of experience with Common financial tools, including Return on Invested Capital (ROIC), Net Present Value (NPV), and Internal Rate of Return (IRR); Corporate finance principles including performing balance sheet analysis, income statement analysis, cash flow statement analysis, and capital structure analysis; Basic accounting principles; Excel skills for modeling and financial valuation; Preparing accurate financial reporting and Controls; Developing new methods of analysis to streamline decision making; and Rectifying inconsistent data by finding and fixing root causes.
#LI-DN
]]>Hybrid: This role is categorized as hybrid. This means the successful candidate is expected to report to the office – Milford Proving Grounds, Michigan three times per week, at minimum.
The Role:
Step into a pivotal role with GM as a Diagnostic Systems Architect within our progressive Vehicle Mechatronics Embedded Controls (VMEC) team, embodying GM’s vision towards an all-electric future. VMEC is aligned with GM’s mission to create a "better and safer future for all."
Your expertise will be instrumental in driving us towards our vision of zero crashes, zero emissions, and zero congestion. Your proficiency in Electrification Diagnostics will revolutionize diagnostic strategies in the Battery & High Voltage (B&HV) Agile Release Train (ART), be a cornerstone in delivering robust diagnostic solutions for electrification vehicle programs, and significantly augment GM’s electrification and autonomous initiatives.
What You’ll do:
Your Skills & Abilities (Required Qualifications)
What Will Give You A Competitive Edge (Preferred Skills)
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.
]]>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 a Staff Software Engineer, Compute Systems Software, you will lead the design, development, integration, and debugging of the embedded Linux platform that powers GM’s in-vehicle compute systems. You will work deeply across the Linux kernel, board support packages (BSPs), device drivers, boot and recovery paths, build systems, and core platform services on modern ARM-based SoCs.
You will help ensure that platform software is not only functional in the lab, but performant, diagnosable, recoverable, and maintainable across production vehicle programs.
You’ll report to the Software Engineering Manager, Compute Systems Software, and collaborate closely with partners across Android Automotive OS, multimedia, connectivity, systems frameworks, safety, validation, and vehicle programs. You will also work directly with our silicon vendors to bring up new platforms, resolve complex issues, and optimize platform capabilities for GM-specific use cases.
This is a hands-on technical leadership role focused on embedded Linux and automotive compute. You will influence architecture and engineering practices across the platform while remaining close to the code, hardware, tools, and failure modes that determine real-world system behavior.
You will:
This role is hybrid, with regular onsite collaboration at a GM technical center, consistent with GM’s hybrid work guidelines for engineering roles.
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 base salary range for this role is $220,000 and $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 and holidays, tuition assistance programs, employee assistance program, GM vehicle discounts, and more.
]]>GM’s Autonomous Vehicle Platform Software Engineering organization builds the foundational software that enables autonomous-driving capabilities to run reliably on production vehicle platforms. The organization’s teams span platform operating systems and compute drivers, embedded MCU software, core services and tools, and system-performance engineering. Their work includes developing low-level platform software, middleware, service interfaces, software-update and deployment capabilities, diagnostics, logging and observability, and performance tooling across vehicle compute systems.
Working at the intersection of software, hardware, AI/ML, and vehicle systems, the teams integrate operating systems, sensors, compute, and application workloads to deliver secure, efficient, testable, and production-ready autonomous-vehicle capabilities. Engineers collaborate closely with AV, AI/ML, hardware, systems, validation, and safety partners, with opportunities to contribute across embedded software, platform engineering, developer tools, and performance optimization. Depending on team needs, projects may focus on platform OS and drivers, MCU software, core services, vehicle software integration, or system and ML-workload performance.
About the Role:
As an Autonomous Driving Software Engineer Intern, you will contribute to the design, development, and validation of cutting-edge software powering self-driving systems. You’ll collaborate with experienced engineers across AV Platform teams to build scalable, safety-critical software for autonomous vehicles operating in real-world environments.
What You’ll Do:
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 compensation may not be representative for positions located outside of New York, Colorado, California, or Washington.
Work Arrangement:
Hybrid : This role is categorized as hybrid. This means the successful candidate is expected to report to their designated office three times per week, at minimum.
Location:
🚀 ¡Haz tu práctica profesional en General Motors y acelera tu futuro! 🚗💡
¿Te imaginas ser parte de una empresa automotriz que está revolucionando el mundo con la visión de cero accidentes, cero emisiones y cero congestión ? En General Motors , eso no es solo un sueño: ¡es nuestra misión diaria!
Aquí no solo diseñamos vehículos, construimos el futuro . Y tú puedes ser parte de él a través de nuestro programa de pasantías EXCEL (Explorando Carreras a través del Aprendizaje Experimental) , donde vivirás una experiencia transformadora, trabajando en proyectos reales que impactan.
🌟 Lo que te espera en GM:
Experiencias Dinámicas : Cada día es una nueva oportunidad para aprender, crecer y desafiarte en un entorno diverso y retador.
Autonomía y Liderazgo : Tus ideas cuentan. Te damos el espacio para proponer, decidir y liderar.
Desarrollo Profesional Integral : Más allá de lo técnico, te formarás como profesional en un ambiente inclusivo, colaborativo y lleno de oportunidades.
🧭 Áreas de Práctica
¿Estudias Ingeniería, Marketing, Comunicaciones, Publicidad, Contaduría, Negocios, Finanzas, Logistica, Recursos Humanos ? ¡Tenemos un lugar para ti! Desde Recursos Humanos hasta Ventas, pasando por Logistica y más, nuestras pasantías abarcan múltiples disciplinas.
✅ Requisitos para aplicar:
Estar en los últimos semestres de tu carrera profesional.
Tener el aval de tu universidad para realizar la práctica.
Manejo avanzado de Microsoft Office .
Nivel de inglés intermedio a avanzado .
Disponibilidad para trabajar en modalidad híbrida 3x2 .
Poder asistir a nuestras oficinas en Calle 100, Bogotá .
🌍 ¿Estás listo para dejar tu huella en la industria automotriz?
¡Únete a General Motors y transforma tu pasión en impacto real!
Postúlate ahora y acelera hacia un futuro lleno de posibilidades.
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, ON three times per week, at minimum.
Specific job responsibilities include:
The architect will:
Key Deliverables
End-to-end delivery architecture
Quality gates and mainline protection
Embedded and vehicle-system integration
GitHub Enterprise and cloud CI/CD
Measurement, observability, and continuous improvement
Technical leadership and influence
Qualifications/Requirements
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:
REQUIREMENTS: Bachelor's degree in Computer Science, Computer Engineering, Information Systems, Mathematics, or related field of study and Six (6) years of experience as a Software Engineer or related role. Six (6) years of experience with: Delivering Java and JEE business solutions; Working with agile development environment and DevOps culture; Developing 12-factor microservices while utilizing Continuous Integration, Build, and Delivery w/Spring, and Spring Boot; Multiple interface patterns including RESTful APIs and event-based messaging; Pivotal Cloud Foundry, CI/CD, Kubernetes, Kafka, Cassandra, Redis, Git, Junit, Dynatrace, ELK, Kibana, Prometheus, Grafana, Yaml, Swagger, Insomnia, Maven, Azure compute services, AKS, Istio service mesh, Argo CD, and Observability tools; Pivotal Cloud Foundry; and Supporting applications in production including Incident management, Triage support, Notification platform knowledge, Firebase Messaging service, and Apple Push Notification Service. Five (5) years of experience with: Building and maintaining highly automated CI and CD pipelines leveraging technologies including Azure DevOps Server (formerly TFS), Jenkins, Maven, Artifactory, Black Duck, Chef, and SonarQube; Writing basic SQL queries; Oracle, Postgres, and NoSQL experience with Cassandra; Designing and implementing container technologies including Docker, Kubernetes, and Helm; and ELK stack and dashboarding within Kibana. Four (4) years of experience with: Behavior-Driven Development (BDD) and Test-Driven Development (TDD) methodologies; and Utilizing platform and infrastructure-as-a service technologies and capabilities and their corresponding services including object store, configuration management, and service registries.
#LI-DNI
]]>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.
We are seeking a Senior Sensor Validation Engineer with deep expertise in sensor physics and hands-on validation methodologies. In this role, you will bridge the gap between low-level hardware performance and high-level vehicle integration. You will develop sensor characterization plans to assess detailed characteristics of sensors, evaluate sensor response, and drive on-vehicle validation campaigns to ensure robust perception across all driving modalities.
You’ll have the opportunity to work cross-functionally with hardware, vehicle, perception, simulation, and other stakeholders to develop, execute, and analyze validation campaigns. This includes the development of vehicle level campaigns to ensure performance and functionality is meeting stakeholder and product needs.
benchtop setups, specialized test labs, and data-collection vehicles at our Detroit and Milford locations, with travel to external testing facilities as needed.
What You'll Do
Your Skills & Abilities
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.
Benefits:
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 AV Fleet Data Engineering team is responsible for the end-to-end design, requirements, integration, validation, and execution of AV/ADAS data-collection capabilities. As a Senior Systems Engineer, you will lead the definition and delivery of Retail AV Data Collection solutions that support ADAS and automated-driving development, fleet monitoring, machine-learning data collection, regulatory compliance, and product improvement.
You will translate stakeholder and customer use cases into system-level strategies, feature-level requirements, functional specifications, architecture concepts, and verification plans. This role will lead hands-on systems engineering across vehicles, benches, simulation and playback environments, cloud/data pipelines, and connected fleet campaigns. The engineer will work closely with software, platform, vehicle integration, quality, data engineering, ADAS, AV, product, legal, and regulatory teams to deliver scalable and reliable data-recording solutions.
What You'll Do
Your Skills & Abilities (Required Qualifications)
What Will Give You A Competitive Edge (Preferred Qualifications)
*This position requires the ability to legally operate a motor vehicle on a regular basis. *
]]>Job Description
This role is categorized as hybrid. This means the successful candidate is expected to report to Warren, MI location three times
The Role
In this role you will lead the development of next-generation inverter and power electronics hardware solutions for electric vehicle applications. You will utilize engineering tools, processes, and program management disciplines to successfully develop components and systems that meet vehicle program requirements while achieving key cost, performance, efficiency, quality, and timing targets.
Key Responsibilities
Required Qualifications
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
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
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.
]]>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
Software-defined vehicles mark a fundamental shift toward safer, smarter, and more sustainable transportation, with software serving as the core engine for data processing, security, and user experience. For businesses, these advanced software capabilities offer critical operational advantages, including higher efficiency, reduced costs, and improved safety and decision-making.
Leveraging its global reach as a leading OEM, General Motors controls both in-vehicle and cloud software to deliver integrated solutions for fleet management, logistics, and energy optimization. To advance this initiative, GM is actively hiring in Silicon Valley and Austin, seeking mission-driven talent focused on customer-centric technology and sustainability to build next-generation commercial fleet platforms at scale.
In this Senior Software Engineer role, you will lead and develop high performance backend services and systems for GM Commercial Software. This role provides a unique opportunity where you will be working across all of the GM Commercial Software products, and truly steering the future of GM Commercial Software’s system architecture, APIs, products, and customers. We are an innovation first team, and we need your help to ensure we meet the highest standards. Come join us and let’s innovate!
What You'll Do
Your Skills & Abilities (Required Qualifications)
What Will Give You a Competitive Edge (Preferred Qualifications)
#LI-KL2
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 salary range for this role is $153,200 - $269,200 . 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 the geography of the selected candidate.
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 and holidays, tuition assistance programs, employee assistance program, GM vehicle discounts, and more.
#LI-KL2
]]>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
The Senior Data Engineering candidate will build, operate, and improve software and data solutions that make vehicle data operations more reliable, observable, and scalable. This position involves continuously monitoring data product quality alongside vehicle software performance and its behaviour.
This role partners with vehicle data engineering, software application teams, program management, systems engineering, and quality engineering to turn operational needs into reliable pipelines, monitoring, dashboards, alerts, and support processes.
The successful engineering candidate is a hands-on technical professional who can work across the full solution lifecycle: understand the problem, define requirements, map data and system relationships, build and test the solution, deploy it, monitor it in production, document it, and improve its reliability, performance, scalability, and cost.
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:
About the Role:
As a Machine Learning Validation Engineer on the Software Validation team within the AV organization, you will play a critical role in the execution of validation efforts for autonomous vehicle behavior. You will leverage your skillsets to craft guidance on behavioral performance and to design and implement complex V&V strategies. You will work with a team of engineers to define best practices, design and execute innovative analyses to establish performance requirements, drive innovation in testing, and verify the safety and performance of autonomous systems. You will be responsible for shaping the future of evaluation methodologies for AI systems and other ADAS features, architecting solutions that meet the testing needs of AI developers, systems engineers, and safety stakeholders.
What You’ll Do:
Required Qualifications
Preferred Qualifications:
Compensation:
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.
What you’ll get from us (Benefits):
The ADAS team supports the definition, design, and development of continuously improving mobility services. The AV organization works on AV software, Infotainment Services, AI-based Apps, Energy (EV) & Connected Mobility Services, Software Architecture, Systems Engineering, Software Integration, Product and Program Management - all to provide cool features such as Super Cruise to our customers. We embrace innovation and would love for you to join us in transforming the way software is developed and deployed in vehicles. The Advanced ADAS Initiatives team leads the latest in cutting edge software and hardware integration for new ADAS projects within the Software and Services space. This team prides itself on tackling the hardest problems with little direction. If you want to be on the cutting edge of the production ADAS space this is the place to be.
Join our team of passionate engineers that work on some of the most thought-provoking automated driving problems in the industry! We are motivated by a future with ZERO crashes, ZERO emissions, and ZERO congestion.
What You’ll Do (Responsibilities)
Your Skills & Abilities (Required Qualifications)
Preferred Qualifications (Nice-to-Have)
We believe work-life balance is essential to a team member’s success and job satisfaction. That is why this position allows some work flexibility and utilizes the Hybrid Work Appropriately Model to ensure our diverse team has good work-life balance.
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 is seeking passionate, driven individuals to join our Customer Care and Aftersales "CCA", Field Sales Operations Internship Program for Summer 2027. This 12-week, project-based internship offers students the opportunity to learn about the District Manager, Parts and Service "DMPS" role while gaining hands-on experience supporting dealers and contributing to the growth of General Motors’ parts and service business across the United States.
Each intern will be assigned to one of General Motors’ five Sales, Service and Marketing regions: Northeast, Southeast, North Central, South Central, or Western. Throughout the program, interns will learn alongside District Managers and Zone Managers through field visits, dealer interactions, business projects, and mentorship. They will gain insight into how General Motors partners with dealers, supports parts and service growth, and delivers an exceptional customer experience. Midway through the internship, interns will spend time in a Central Office in Warren Michigan to learn how Customer Care and Aftersales teams work with regional field teams and other business functions to support dealers, improve the customer experience, and advance General Motors’ broader business strategy.
The Customer Care and Aftersales Field Sales Operations team works with General Motors dealers across the United States to help grow their parts and service businesses and deliver an exceptional customer experience. The team connects General Motors’ broader business priorities with the day-to-day needs of dealers and their customers.
Field team members build relationships with dealers, understand local business opportunities, and help put regional strategies and initiatives into action. Central Office teams provide the strategy, analysis, tools, and resources that support dealer success across the regions. Together, these teams collaborate with dealer partners and other business functions to improve performance and strengthen the customer experience.
As an intern, you will learn from and work alongside District Managers, Zone Managers, regional leaders, Central Office partners, and other Customer Care and Aftersales professionals. Your experience will include regional immersion, field travel within your territory, Central Office exposure and travel, mentorship, and a capstone project tied to a real business opportunity.
Gather and analyze field-level information with regional and Central Office teams.
Identify trends and key drivers of parts and service performance across national, regional, and local markets.
Develop practical insights and repeatable reporting tools that support field sales effectiveness and dealer growth.
Support regional initiatives, campaigns, and dealer engagement strategies that grow the parts, accessories, and service business.
Participate in field visits and structured shadowing experiences, including planning, dealer meetings, follow-up, and action tracking.
Translate dealer and customer feedback into clear observations and recommendations for the regional team.
Prepare concise updates that communicate project progress, risks, and learnings to leaders and program sponsors.
Complete a capstone project addressing a regional opportunity, from defining the opportunity through analysis and recommendations.
Present project findings and recommendations to regional and Customer Care and Aftersales leaders at the conclusion of the internship.
Gain exposure to General Motors’ regional field structure, dealership operations, and the District Manager, Parts and Service role.
Apply analytical and problem-solving skills to real-world business challenges.
Learn how customer, dealer, and market information informs sales and service strategies.
Build confidence communicating with dealers, regional leaders, and Central Office stakeholders.
Develop resilience, adaptability, and professional judgment while navigating varied dealer needs and market conditions.
Understand how regional priorities connect to broader enterprise strategy.
Explore tools and technologies used in sales operations, performance reporting, and dealer engagement.
Build a professional network across regional and Central Office teams.
This is a full-time, 12-week internship that blends regional immersion, field travel, and Central Office exposure.
The program includes:
Weeks 1–2: Regional onboarding and early field exposure
Weeks 3–4: Field travel with District Managers and Zone Managers
Weeks 5–6: Central Office immersion in Warren, Michigan
Week 7: Wholesale and ACDelco Market Area Manager experience
Weeks 8–9: Additional field travel and regional project work
Weeks 10–12: Capstone completion and regional presentation
Throughout the program, you will participate in regular check-ins with your leader and program sponsors to support your development, address challenges, and shape the internship experience.
Currently pursuing a bachelor’s or master’s degree in Marketing, Business Administration, Communications, Supply Chain Management or related field.
Expected graduation between December 2027 and June 2029.
Valid driver’s license.
Available to work full-time, 40 hours per week, during the summer internship.
Willingness to travel extensively within your assigned region.
Willingness to travel to the Central Office in Warren, Michigan, for a required two-week immersion during the internship.
Strong analytical, communication, and interpersonal skills.
Comfortable working independently in the field and collaboratively with a team.
Willingness to travel extensively within your assigned region and to Central Office program events.
Preferred Qualifications
Demonstrated leadership through academics, extracurricular activities, prior internships, or community involvement.
Interest in the automotive industry, customer experience, and dealer success.
Interest in a field-based commercial career path, such as District Manager, Parts and Service, or a related role.
Experience working with information, dashboards, or business analytics tools to support decision-making.
Ability to manage multiple priorities, adapt quickly, and take initiative in ambiguous situations.
Start dates for our Summer 2027 internships are May 24th and June 14th of 2027
Hybrid: This role is categorized as hybrid. This means the successful candidate is expected to report to their regional office when not traveling within their territory.
The selected candidate will be required to travel at least 75% or more on a frequent basis
Opportunities are available in the following regions. In your application, indicate the location(s) you prefer. Interns will be based at the designated regional office for their assigned region and will travel throughout that region or territory to support field activities. The role also requires travel to Warren, Michigan, for the required two-week Central Office immersion.
Western Region - Westlake Village, CA
Southeast Region - Alpharetta, Georgia
South Central Region - Coppell, Texas
North Central Region - Warren, Michigan
Northeast Region - Danbury, Connecticut
This role requires travel within the intern’s assigned region to visit dealerships, participate in field activities, and support business needs. Interns must also travel to the Central Office in Warren, Michigan, for a required two-week immersion during the internship. Travel expectations may vary based on the assigned region and project responsibilities.
Interns may be required to drive General Motors or rental vehicles for business travel. A valid driver’s license and compliance with applicable vehicle-use requirements are required. Interns 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.
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.
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.)
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.
The Role
This position offers the opportunity to work in a highly collaborative team focused on propulsion related system models including thermal, hydraulic, lubrication and ventilation domains. Build 1D fluid dynamics & coarse 3D thermal models that directly impact design development, validation and eliminate hardware testing. Simulations include battery cell, battery pack, drive units, electric motors, power electronics, combustion engine and transmission related systems.
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 ideal candidate has strong experience in prototype vehicle builds, mechanical systems, fabrication, welding, roll cage construction, machining, and troubleshooting. This role requires independent decision-making, project leadership, mentoring, and effective collaboration with engineers and technicians.
Key Responsibilities
Required Qualifications
Candidate must be a U.S. Person (U.S. citizen, U.S. permanent resident, asylee or refugee).
EDUCATION/TRAINING
All qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, national origin, disability, sexual orientation, gender identity/expression, or protected veteran status.
#GMD
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
Hybrid - This role is categorized as hybrid. This means the successful candidate is expected to report to the Calgary office of General Motors, or the equivalent of in-person collaboration (dealer visits, events, agency meetings etc.) three days/week.
The Digital Transformation Manager (DTM) – Western Region role will support, from start to finish, the effective Dealer onboarding process of a variety of digital tools and services. The goal is to optimize the dealer’s digital performance, deliver strategic digital consulting, analytic reporting and establish a premium online customer experience. The DTM will be located in our Western region (Calgary) location and join a team of two other DTMs covering Central region and Eastern region. DTMs will partner with the District Managers, Sales within their region, functioning as their digital subject matter expert.
A critical aspect of this position is to have regular face to face dealership contacts, as such regular travel within the assigned region is required and the incumbent will utilize a company assigned vehicle.
The ideal candidate is digitally savvy, has had some exposure to automotive dealer operations/retailing, is a strong relationship builder and can develop/execute a digital plan to help dealers optimize their online presence and processes.
Reporting to the Dealer Digital Solution Manager, the core responsibilities of the DTM are:
Closely collaborate with two primary stakeholders:
1. DDS Manager directly within the Digital Innovation team who is responsible for the Dealer Digital Solution Program for our dealer network
2. Regional Sales Team (RD, RSM, DM) to align on priorities and determine best point of interaction with dealers based on a relationship championed by the Regional Sales team
* Champion onboarding processes for various digital products and services from kickoff to completion and post-launch support including but not limited to:
* Provide guidance and training to the dealer network on best practices to drive web traffic to their sites and increase sales conversion rates through effective lead actioning.
* Curate and host quarterly dealer digital best practices training workshops to assist dealers in optimizing their digital showroom.
* Effectively communicate and assist dealers on the importance of actioning digital leads in a timely manner to drive sales results and increase YOY key digital KPIs.
* Participate in joint dealer contacts with district managers in their region.
* Level 1 Support for the new products and services offered via our Dealer Digital Solution program (GMCGI, web site of choice, Digital Advertising, Digital Retail, etc).
* Effectively manage dealer support related activities: intake, track, resolve or escalate dealer support cases.
* Actively interact and participate with various third-party support partners.
* Stay current with training activities on newly developed GM systems and services.
* Communication and reporting to VSM stakeholders, field & dealers
Required Skills and Experience:
Education and Training:
Compensation
The salary range for this role is $97,800.00 to $146,600.00. 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:
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.
]]>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 Staff Software Engineer , 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):
Your Skills & Abilities (Required Qualifications):
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, 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.
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 rang e for this role is $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.
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-DH2
]]>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.
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:
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) :
Your Skills & Abilities (Qualifications):
What Can Give You A Competitive Edge ( Preferred Qualifications):
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:
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)
#LI-KL2
]]> General Motors is working toward a future with zero crashes, zero emissions, and zero congestion. Vehicle Autonomy is an important part of that vision, helping create safer, more capable, and more seamless experiences for customers.
Our Product Management teams connect customer needs, business priorities, technology, and execution. We work across current and future autonomy products as well as the underlying software and platform capabilities that support GM’s vehicle autonomy roadmap.
As a Product Management Intern, you will gain hands-on experience in a fast-moving, cross-functional environment while contributing to work that supports the future of transportation.
We are looking for a motivated student to join the Vehicle Autonomy Product Management organization for a summer internship. The intern will support product managers and partner teams across a range of initiatives, which may include current products, future product concepts, and foundational platforms that enable autonomy experiences.
The specific project will be aligned to business needs, the intern’s interests, and the skills they bring to the team. This is an opportunity to learn how high impact products are identified, evaluated, and iterated throughout the development cycle. A successful candidate is curious, organized, comfortable learning new technical concepts, and eager to collaborate with people across product, engineering, design, data, program management, and other partner teams.
Opportunities may include the following:
This internship is intended to provide meaningful work experience and development opportunities while supporting GM’s Vehicle Autonomy roadmap. Project assignments and responsibilities may vary based on organizational priorities and the intern’s background.
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.
What You'll Get from Us
Work Arrangement
Overview of Your Role:
This role ensures the delivery of accurate Customs Risk Assessments determining Free Trade Agreement (FTA) qualification feasibility and duty / tariff impact for vehicle programs and new propulsion products. The analyst will also support activities related to the MSRP Offset License Process. The role integrates customs, trade compliance, sourcing, financial, and product-planning information to identify risks, evaluate business impacts, develop recommendations, and support informed program and gate decisions. Success in this role requires independent judgment, strong cross-functional coordination, and the ability to manage multiple concurrent, time-sensitive activities while resolving non-routine issues and maintaining compliance with established requirements.
The Global Customs Planning analyst will report to the Global Customs Planning Manager.
Your Responsibilities:
· Prepare Customs Risk Assessments for the vehicle development process
· Coordinate with multiple internal departments and stakeholders to obtain and evaluate Bills of Material, cost books, sourcing footprints, manufacturing locations, supplier USMCA status, and related program information.
· Calculate and assess USMCA regional value content (RVC) and labor value content (LVC) and other global FTA RVCs, calculate duty and tariff exposure, and potential customs and business impacts; update internal dashboards and develop decision-ready presentation materials.
· Facilitate cross-functional working sessions; communicate findings and recommendations, establish resolution timelines, incorporate revisions, and track issues through closure in support of gate decisions and program execution.
· Support Customs leadership in maintaining the MSRP Offset License Process by coordinating inputs, validating supporting information, monitoring status and timing, maintaining documentation, identifying gaps, and supporting issue resolution.
· Apply independent judgment and practical knowledge of customs, trade compliance, product planning, and financial processes to manage multiple concurrent, time-sensitive study events, resolve non-routine issues, and maintain accurate and compliant coverage across the vehicle and propulsion portfolios.
Required:
· Undergraduate degree (Preferred in finance, accounting, or other business-related subject)
· Minimum of 2-year experience in Customs, Tax Compliance, Logistics or related field
· Ability to work independently, be self-motivated, and manage work within agreed timelines, while producing high quality deliverables (e.g., documentation of controls, compliance review / testing workpapers, reports, etc.) that are clear and concise.
· Effective collaboration with business unit management and other functional related teams necessary for facilitating the global compliance program.
· Ability to quickly grasp and understand customs related concepts, standards, locally relevant business provisions, etc. to add value and provide insightful recommendations that are pragmatic, address root cause and process opportunities/weaknesses, and lead to increased efficiencies/improved controls.
· Strong oral and written communication skills.
· Strong interpersonal, team, and partnering skills.
· Demonstrated effective, analytical and problem-solving skills.
· Capability to navigate customs duty regulations in an ambiguous and ever-changing environment.
· Process improvement minded with technical ability in, or desire to learn, software such as KNIME, PowerBI, Access, Excel, Teams, SAP, and other process simplification tools.
Preferred:
· Customs or International Trade related experience
· US Customs Broker License
]]>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
Senior Engineer / Lead Engineer – ML will leverage Machine Learning methodologies to improve Manufacturing Engineering and Operations processes. Execute end-to-end projects from ideation to deployment, applying relevant Tools and Methods in ML and data analytics to solve Manufacturing problems while ensuring data security and delivering measurable impact.
What You'll Do
Collaborate with stakeholders to understand business problems in the in the Manufacturing Engineering and Operations space and solve them using ML methodologies.
Design, develop, and fine-tune AI/ML models for classification, regression, clustering, and recommendation systems.
Work with MLOps tools to automate workflows, CI/CD pipelines, and model monitoring.
Evaluate, validate, and benchmark model performance using appropriate metrics.
Deploy AI models into production environments in collaboration with IT/AI teams.
Establish monitoring and maintenance processes to ensure model accuracy over time.
Ensure that all AI solutions comply with organizational data security, confidentiality, and regulatory requirements.
Document workflows, results, and lessons learned for organizational knowledge sharing.
Stay updated on advancements in ML model evaluation, ML frameworks, end-to-end ML pipelines.
Your Skills & Abilities (Required Qualifications)
Bachelor’s or Masters Degree Mechanical/Automobile/Production /Mechatronics Engineering discipline or similar.
4- 8 years in Automotive Manufacturing / Manufacturing Engineering Experience.
2+ year experience in implementing AI/ML solutions in Automotive use cases.
Should have executed at least 2 end-to-end projects in the text or Image data domain (from problem definition to deployment).
Strong programming skills in Python
Proficiency with ML/DL frameworks like Scikit-learn, TensorFlow, PyTorch, XGBoost.
Solid understanding of statistics, probability, and linear algebra.
Experience in data preprocessing, feature engineering, ETL and Exploratory Data Analysis (EDA).
Experience with MLOps platforms (MLflow, Kubeflow, Vertex AI, Azure ML)
Knowledge of ML model evaluation
Experience with SQL/NoSQL databases and handling large datasets.
Strong problem-solving and analytical mindset.
Understanding of data annotation tools and MLOps workflows.
Experience in domain-specific AI use cases (manufacturing, automotive, etc.).
What Will Give You A Competitive Edge (Preferred Qualifications)
Knowledge of deep learning architectures (CNNs, RNNs, Transformers).
Familiarity with cloud-based platforms (Azure, AWS).
Experience in distributed training and scaling ML on large datasets.
Strong problem-solving mindset and curiosity for AI innovation.
Ability to translate domain problems into AI solutions.
Collaboration skills to work with cross-functional teams.
Clear communication of technical concepts to non-technical stakeholders.
This position is responsible for developing, validating, and implementing specialized containers and packaging solutions for components and assemblies shipped to GM assembly plants. The role supports Supply Chain and Logistics business objectives by optimizing container density, protecting part quality, improving material-handling processes, controlling costs, and delivering robust packaging solutions across the supply base, logistics operations, and manufacturing plants.
The position works cross-functionally with engineering, manufacturing, logistics, suppliers, service providers, and other stakeholders to translate business and operational requirements into effective packaging designs. The role also supports relationship management with logistics suppliers and service providers, future program milestones, packaging strategy studies, financial planning, engineering changes, and sustainable packaging initiatives.
#LI-PR
]]>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 Pontiac Metal Center on a full-time basis.
The Role:
Pontiac Metal Center is the lead stamping site supporting GM’s vision of ZERO crashes, ZERO emissions, and ZERO congestion. All major sheet metal stamping provided to Factory Zero (Hummer EV, Origin EV & Silverado EV) and Flint and Oshawa Assembly.
The Tool & Die Group Leader will lead day to day decision making and supervision of hourly Die room employees which work which involves the repair and maintenance of Sheet Metal Stamping Dies and equipment. Work will involve complex manufacturing problems including the need to root cause and follow issues to resolution – as well as sharing and using lessons learned from peer groups. This role requires the ability to use independent discernment. 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):
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 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. 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.)
]]>There’s never been a more exciting time to work for General Motors . To achieve our vision of a world with Zero Crashes, Zero Emissions and Zero Congestion , we need people who are passionate about creating safer, better, and more sustainable ways for people to move. This bold vision won’t happen overnight, but just as we transformed how the world moved in the last century, we are committed to transforming how we move today and in the future.
Our culture is focused on building inclusive teams , where differences and unique perspectives are embraced so you can contribute to your fullest potential as you pursue your career.
The Role
We are seeking a high‑performing Hardware Development Engineer to plan, develop, and execute engine lubrication and ventilation tests in a world‑class development facility. Responsibilities include hands‑on test bench work, data analysis, calibration support, and driving test efficiency through data reduction and virtualization of lab activities. This assignment requires creativity, initiative, and independent judgment, as well as effective cross‑organizational teamwork.
What You’ll Do
Test & Bench Ownership
Data, Tools & Virtualization
Collaboration & Continuous Improvement
Leadership & Mentoring
Education & Training
Required Skills & Experience
Preferred Skills & Experience
Work Location & Model
As a Business Manager - Maintenance, you will be responsible for the supervision of salaried employees responsible for operations, maintenance and repair of plant equipment. Work requires the ability to make decisions based on established procedure. Work is of a technical nature using independent judgment within the limits of GMS; focusing on Safety, People, Quality, Responsiveness, Cost, and Environment (SPQRCE). Use of independent judgement. Responsible for training others.
What You'll Do:
In this role, you will oversee a small to medium group of salaried maintenance Group Leaders. Leads the maintenance and repair of plant equipment and facilities aligned with standard GM maintenance systems. You will conduct appropriate checks and communicate evaluation of results. Responsible for preventative maintenance and diagnosis of equipment malfunctions, recommend solutions to problems, and meet schedule and quality requirements in addition to the following responsibilities.
Your Skills & Abilities (Required Qualifications):
What Will Give You a Competitive Edge (Preferred Qualifications):
Compensation:
Benefits:
Working closely with assembly plants, engineering teams, quality organizations, and suppliers, you will play a key role in improving Electrical First Time Quality (EFTQ), reducing warranty exposure, and driving consistent execution of proven manufacturing processes.
This Role Is Ideal For
Engineers with experience in manufacturing engineering, quality, launch, assembly operations, or vehicle electrical systems who enjoy improving manufacturing processes, reducing defects, and driving consistent execution across multiple production sites. You'll thrive in this role if you enjoy influencing without direct authority, developing standards, and helping plants achieve world-class quality performance.
WHY
Improve vehicle quality and reduce warranty exposure by developing, implementing, and continuously improving electrical manufacturing standards across GM's global manufacturing network. This role helps ensure vehicles are built correctly the first time by driving consistent execution of proven assembly and quality processes.
WHAT
As an Electrical Manufacturing Standards Engineer, you will develop, maintain, and deploy manufacturing standards that improve electrical quality and assembly execution across vehicle assembly plants. You will partner with plant teams, engineering organizations, and suppliers to drive process adoption, improve Electrical First Time Quality (EFTQ), and reduce manufacturing defects.
HOW
Partner with manufacturing plants, engineering teams, suppliers, and quality organizations to establish standards, identify improvement opportunities, and implement best practices that strengthen quality, consistency, and manufacturing performance.
Work Arrangement – Onsite
The successful candidate is expected to report to the Warren Tech Center on a full-time basis. This role requires a minimum of 50% domestic and international travel.
What You'll Do
Your Skills & Abilities (Required Qualifications)
What Will Give You a Competitive Edge (Preferred Qualifications)
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.
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.
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:
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
]]>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
]]> 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:
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
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.
]]> 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 Staff 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 highly technical engineering leader who can use AI-assisted workflows to improve delivery speed and quality, shape reliable low-latency services and architectures, and raise team productivity through stronger engineering practices, reusable patterns, and technical leadership.
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
]]>Connectivity plays a pivotal role in advancing technology that delivers exceptional customer experiences, enables new revenue-generating opportunities, and supports safety‑critical, hands‑free driving solutions aligned with General Motors’ strong safety culture. We are seeking a highly skilled and motivated Cellular Wireless Technology Engineering Manager with a strong background in 4G and 5G Cellular technology. The ideal candidate will have 5+ years of management experience in Wireless Standards, Hardware Design, Testing, RF, System Architecture, and Product Development to help define best‑in‑class connectivity systems for GM vehicles.
In this role, the Engineering Manager - Cellular Technology will manage a team responsible for the technology roadmap, system and functional requirements, product and technology evaluations, issue resolution, and testing of hardware components and systems that enable connectivity technologies across all GM vehicles and architectures. You will work closely with cross‑functional partners—including vehicle integration, product management, and systems engineering—to create secure and reliable connectivity solutions and support future technology roadmaps from development through production.
What You’ll Do (Responsibilities)
Lead a team of subject matter experts in cellular technology.
Develop and specify cellular module and network functional requirements for Terrestrial Networks (TN) and Non-Terrestrial Networks (NTN).
Develop and specify wireless network functional requirements.
Lead the development of the cellular technology roadmap.
Conduct component evaluations and proofs of concept.
Lead cross‑functional meetings to drive issue resolution and support design discussions that meet program milestones.
Your Skills & Abilities (Required Qualifications)
Bachelor’s degree in Electrical Engineering, Computer Engineering, or equivalent experience.
5+ years of management experience in hardware development.
10+ years of expertise in 3GPP cellular technology, including module design, testing, and/or certification.
Expertise in development of IoT, Smartphones or NTN modules.
Experience with testing and debugging tools such as call boxes, spectrum analyzers, network analyzers, Wireshark, and modem tools.
Familiarity with antenna systems.
Strong knowledge of RF theory.
Excellent problem‑solving skills with the ability to navigate complex hardware and system issues.
Strong communication and teamwork skills with the ability to collaborate across multiple disciplines.
Ability to travel ~5%
What Can Give You a Competitive Edge (Preferred Qualifications)
15+ years of experience in hardware design and testing.
Master’s degree in an engineering-related field.
Knowledge of SIM technology.
Knowledge of automotive or access‑control systems.
Collaborate with Product, Systems Engineering, Program, Quality, and Supplier teams to design and deliver on‑time solutions.
Participate in and lead design and technical reviews related to your technology domain.
Participate in and lead technical and regulatory discussions with validation and supplier‑resiliency teams to meet GM standards.
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: $159,000 - $235,000. 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.
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-JK3
]]> 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
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
Lead People
Hire, lead, and develop a high‑performing AV behavior safety engineering team.
Set clear goals and expectations, provide coaching and mentorship, and grow the team’s technical depth in AV behavior safety, validation, and safety case development.
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.
Your Skills & Abilities (Required Qualifications)
Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field
8+ years of experience in machine learning, engineering, data science, or a related field
8+ 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.
3+ years of people leadership experience, including hiring, leading, and growing high‑performing technical teams.
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 $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
]]>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):
2+ 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
Wok Arrangement: This role is categorized as hybrid. This means the successful candidate is expected to report to Sunnyvale, CA three times per week at minimum or other frequency dictated by the business.
At General Motors, we are building a future with zero crashes, zero emissions, and zero congestion. Our teams develop the software, systems and technology that make advanced driver assistance and autonomous driving safe, reliable and scalable across vehicle programs.
The Role
The Manager, Systems Engineering, AV Platform Software will lead a team of systems engineers responsible for defining, decomposing and managing requirements for foundational AV Platform Software capabilities. These capabilities provide the runtime, communication, lifecycle, diagnostic and operational functionality required for Autonomous Vehicle (AV) software to launch, operate safely, be serviced and be manufactured at scale.
This role combines technical leadership, systems engineering execution and people leadership. The manager will translate product, vehicle, safety, cybersecurity and program intent into implementable and testable software system requirements; establish clear interfaces across vehicle systems, software safety, cybersecurity, validation, manufacturing, service; and drive closure of technical risks through program milestones.
The role is expected to operate at the AV Platform Software layer across multiple vehicle platforms and Super Cruise programs, with responsibility for maintaining requirement quality, traceability, architecture and interface alignment within the assigned scope. The manager will help the organization deliver platform capabilities with the rigor required for safety critical, production intent autonomous vehicle software.
What You’ll Do
Lead a systems engineering team defining clear, traceable and verifiablerequirements for AV Platform Software.
Own system decomposition, interfaces, risks, validation intent, lifecycle artifacts
Partner with software system architecture, development, verification and
validation, safety, cybersecurity, vehicle systems and program teams to resolve technical issues and maintain alignment.
Establish the team roadmap, drive milestone readiness and communicate status, risks, decisions and recommendations to stakeholders.
Improve systems engineering effectiveness through reusable methods, metrics, automation, and responsible use of AI-enabled tools.
Build a high-performing team through thoughtful hiring, coaching, development, delegation, accountability, and performance management.
Foster an inclusive environment that encourages candid technical discussion, learning, collaboration, and alignment with GM behaviors.
Expected Outcomes and Measures of Success
Success in this role will be demonstrated through measurable improvement in the quality, Clear ownership and complete coverage of the assigned AV Platform Software systems and interfaces.
Requirements that are implementable, testable, prioritized, and traceable through the software lifecycle.
Reduced ambiguity and rework for software development, validation, service, manufacturing and vehicle integration teams.
Timely closure of critical platform, interface, cybersecurity, safety, diagnostic and launch readiness risks.
Improved readiness for AV Platform and vehicle program milestones, including launch and production intent events.
Effective collaboration across AV Platform software development, software safety, cybersecurity, verification and validation, vehicle systems, manufacturing, service, and supplier organizations.
A capable, engaged and growing systems engineering team with clear
accountability and strong technical depth.
Reusable systems engineering methods, metrics and automation that scale across Super Cruise generations and future AV platforms.
Your Skills & Abilities (Required Qualifications)
Bachelor’s degree in systems engineering, software engineering, computer technical related or ,engineering, electrical engineering, computer science
10 or more years of experience in systems engineering, software engineering, embedded systems, vehicle systems, or a related technical field.
Experience leading systems engineering for automotive, autonomous vehicles, advanced driver assistance, robotics, aerospace or other safety-critical platforms.
Experience managing or leading technical teams, including hiring, coaching, performance management, prioritization and delivery accountability.
Demonstrated experience translating system-level objectives into subsystem and software requirements, interface specifications and verification criteria.
Experience with requirements management, traceability, system decomposition, interface-control documentation, risk management and validation planning.
Experience working across software, hardware, safety, cybersecurity, validation, manufacturing, service and program-management organizations.
Strong written and verbal communication skills, including the ability to communicate technical risks, tradeoffs and recommendations to senior leaders.
Ability to work effectively in a hybrid environment and collaborate across locations and disciplines.
What Will Give You a Competitive Edge (Preferred Qualifications)
Master’s degree in systems engineering, computer engineering, electricalengineering, computer science or a related technical discipline.
Experience with Autonomous Vehicle Platform software and defining requirements
Experience with automotive safety, cybersecurity, and software development standards and processes, such as ISO 26262, SOTIF, Automotive SPICE, and safety-critical development frameworks.
Experience with DNG, Jira, Jira Align or comparable requirements and lifecycle-management tools.
Experience delivering software or systems engineering for production vehicle launches, manufacturing, service or fleet operations.
Experience building engineering processes, metrics, automation or AI-enabled systems engineering workflows, MBSE.
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 - $290,700). 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 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 (e.g., H-1B, TN, STEM OPT, etc.) NOW OR IN THE FUTURE
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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.
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]]>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
Seeking a 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
Your Skills & Abilities (Required Qualifications):
What Will Give You a Competitive Edge (Preferred Qualifications):
Compensation:
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.
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 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
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 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.
6+ 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.
Relocation: This job may be eligible for relocation benefits.
Remote/Hybrid: This role is based in Sunnyvale, CA or Austin, TX if you live within a 50-mile radius of an office location you are expected to report to that location three times a week, at minimum.
Hybrid : This role is categorized as hybrid. This means the successful candidate is expected to report to Seattle, WA, 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
Your Skills & Abilities (Required Qualifications)
What Will Give You A Competitive Edge (Preferred Qualifications)
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.)
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]]>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.
]]>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
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REQUIREMENTS: Bachelor's degree in Electronic Engineering, Electrical Engineering, Computer Engineering, Computer Science, or related field of study and Five (5) years of experience as a Software Engineer, Product Engineer, or related occupation. Five (5) years of experience with: Embedded C and C++ development for microcontroller based systems; Automotive communication protocols including CAN and Automotive Ethernet; and Diagnostic and programming protocols including UDS and XCP. Three (3) years of experience with: Bootloader and ECU programming software, including flash erase/write flows, memory layout, and software update/recovery; Use of version control and CI/CD tools, including Git and Jenkins, for build, integration, and release of embedded software; and Debugging embedded software using hardware debuggers, emulators, and logic/trace tools.
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]]>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.
As a Simulation intern, you’ll partner with senior engineers to design, build, and launch real simulation features used daily by GM validation teams. You’ll meet customers, turn their needs into clear specs, deliver high‑quality code on our common simulation platform, and measure your impact. Customers likely include Hardware/Software in the Loop teams as well as Autonomous Vehicle software and test authors.
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 generate meaningful 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.
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.
As a Simulation AI/ML Engineer intern, you’ll partner with senior engineers to deliver key components of the evaluation strategy for GM’s autonomous vehicle programs. In this role, you will scale the testing and evaluation of our self-driving stack by applying AI/ML techniques to software solutions. You will design, perform experiments, and deploy these solutions as production-ready code. The work you do will be directly applied to the iteration and validation of the self-driving stack.
The GM AV Simulation team builds world-class testing and analysis related products and technologies to enable GM to accelerate the 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 generate meaningful 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.
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.
Our ambition in Software & Services Product Management is to build a world-class software development culture that is part of the company’s shared vision. We are creating an elite portfolio of software-defined vehicles by tightly integrating software, hardware, and services to create complete and compelling vehicle experiences for our customers.
Join us in shaping these core software experiences.
The Role
As Senior Product Manager, 3P Ecosystem, Occupant Experience, you will define and deliver custom GM infotainment app experiences in partnership with leading third-party companies. You will sit at the center of product vision, strategy, roadmap, and execution for a growing portfolio of in-vehicle app experiences spanning categories such as entertainment, streaming audio, video, and productivity.
You will work cross-functionally across engineering, design, QA, PMO, business development, and partner teams to bring new experiences to market and continuously improve them over time. This role requires strong product judgment, comfort operating in ambiguity, and the ability to align diverse stakeholders around a clear product direction.
You will help shape how third-party apps should come to life in a GM vehicle by understanding both evolving customer expectations and the unique capabilities of the car itself. The goal is not simply to bring more apps into the vehicle, but to define experiences that feel thoughtfully designed for the in-vehicle context and meaningfully better for customers.
This is an exciting opportunity for a product manager who enjoys pairing strategic thinking with hands-on delivery: someone who can define a compelling vision, translate it into a roadmap, influence across organizational boundaries, and help build a stronger long-term 3P ecosystem for GM.
What You’ll Do
· Drive and own the execution for custom GM third-party app experiences, leading assigned initiatives from concept through launch and post-launch iteration
· Define product vision & strategy, requirements, and roadmap for a growing portfolio of in-vehicle app experiences across categories such as entertainment, streaming audio, video, and productivity
· Partner cross-functionally with engineering, design, QA, PMO, business development, and external partners to align stakeholders, navigate complexity, and deliver high-quality launches
· Collaborate with peer product teams to understand the vehicle’s hardware, software, and contextual capabilities, and shape app experiences that feel natively right for the in-vehicle environment
· Use engagement data, customer research, competitive understanding, and technical product judgment to evaluate performance, identify what is working, and inform what GM should pursue next
· Communicate priorities, tradeoffs, risks, and recommendations clearly, while influencing adjacent teams and partner decisions to strengthen the long-term 3P ecosystem
Your Skills & Abilities (Required Qualifications)
· 5+ years of product management experience delivering digital or software-enabled products
· Experience leading cross-functional execution across engineering and business stakeholders
· Experience working with external partners, platforms, or ecosystem-like product spaces
· Ability to define product direction, translate complex constraints into clear decisions, and balance near-term execution with longer-term roadmap needs
· Strong written communication skills, including product narratives, requirements, and partner-facing materials
· Comfort using data, customer insight, and market understanding to inform prioritization and iteration
· Bachelor’s degree in Business, Engineering, Computer Science, or a related field, or equivalent practical experience
What Will Give You a Competitive Edge (Preferred Qualifications)
· Experience in automotive, infotainment, Android-based platforms, or connected devices
· Strong, tangible track record of leading or significantly contributing to major consumer-facing product launches
· Experience with third-party app ecosystems, particularly app distribution, certification, release management, or launch processes for customer-facing software products
· Seasoned experience communicating, reporting, and pitching to executive leadership
· MBA or advanced degree in a relevant field
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 $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.
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]]>At General Motors, we are building on our momentum and are changing the way we do things. We translate breakthrough technologies into vehicles and experiences that people love. We are seeking experienced, motivated engineers to support the next generation of industry-leading Interior Systems.
About the Interior Role:
As a Hard Trim and Overhead Systems Design Release Engineer (DRE), you will be responsible to develop and integrate injection molded hard trim and overhead components into the vehicle interior. Specific component integration that you will be responsible for include:
Injection molded hard trim components.
Headliner substrate.
Overhead system components (lights, coat hooks, assist handles, etc.)
This position involves responsibility for development activities throughout a vehicle’s lifecycle including:
Definition of requirements
Design execution balancing imperatives (fit, finish, DFA, DFM, cost, etc.)
Release of all components
Approval of validation results
This role requires an engineer to lead and drive a cross-functional product development team including collaboration with the following groups:
Within Engineering –
Engineering Design
Interior Restraints Systems
Adjacent Interior Components
Body Systems
CCC Overhead and Hard Trim components
Electrical System
HVAC System
Cargo Management System
Outside of Engineering –
Creative Design
Purchasing
Ergonomics
Manufacturing
Value Added Assembler
Quality
Suppliers
Education Required:
Bachelor of Science Degree in Engineering or U.S. Equivalent (mechanical preferred)
Required Experience:
• 4+ years entry-level automotive experience
• Strong interest in learning about plastic materials, compression molding, and injection molding processes
• Experience using an engineering problem-solving process to define requirements, evaluate concepts, document decisions, and support testing or validation.
•Experience with 3D CAD, engineering drawings, basic GD&T, and dimensional evaluation.
•Hands-on experience with prototype builds, physical measurements, component fit, finish, ergonomics, or testing.
•Experience working with cross-functional teams and communicating technical information clearly to engineering, manufacturing, quality, suppliers, or other stakeholders.
•Ability to analyze data, identify trends, and present technical recommendations using tools such as Excel or PowerPoint.
•Demonstrated initiative, curiosity, accountability, and willingness to learn within a structured engineering development environment.
Preferred Experience:
• Injection molding, compression molding, plastic materials, or interior trim experience.
• Automotive vehicle development, build, launch, or supplier experience.
• NX/Unigraphics, Teamcenter, Vis Mockup, or similar engineering tools.
• Exposure to DFMEA, PFMEA, DFSS, Red-X, structured problem solving, or PRTS.
• Experience evaluating fit, finish, tolerance variation, assembly ergonomics, or manufacturing feasibility.
• Experience supporting vehicle programs or collaborating with Design, Manufacturing, Quality, Purchasing, and suppliers.
]]>REQUIREMENTS: Bachelor's degree in Electronic Engineering, Computer Science, Software Engineering, or related field of study and Five (5) years of experience as a Software Engineer, Consultant, or related occupation OR Master's degree in Electronic Engineering, Computer Science, Software Engineering, or related field of study and Three (3) years of experience as a Software Engineer, Consultant, or related occupation One (1) year of experience with: Automotive control systems with RTOS platforms; Programming and debugging complex code base in C, C++; Scripting languages including shell and Python; Automotive serial communication CAN/ LIN protocols; AutoSAR and Adaptive AutoSAR developments; Service-oriented communication protocols including SOME/IP, DDS, and REST; and Scrum/Agile software development process and SCM tools.
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]]> Work Arrangement:
On-Site: This internship is categorized as on-site. The selected intern is expected to report to the office 5 days a week.
Locations:
Warren, MI
Milford, MI
About the Team:
The Automated Driving Production Technology Team develops and improves the production technologies, hardware processes, and analytical capabilities that support automated driving systems. We work across engineering, manufacturing, quality, testing, and operations to improve efficiency, scalability, reliability, and performance.
Our team combines expertise in hardware systems, production technology, data science, artificial intelligence, process engineering, and analytics to deliver data-driven improvements to production processes and engineering productivity.
What You Will Do:
We are hiring an intern to support AI and hardware process efficiency initiatives through data analysis, process optimization, automation, and analytical tool development.
AI and Data Science
Analyze production, quality, equipment, test, and operational data to identify trends, bottlenecks, variation, and improvement opportunities.
Apply statistical analysis, machine learning, anomaly detection, and other AI techniques to support predictive insights and process optimization.
Develop data pipelines, analytical models, and automated workflows for engineering and production teams.
Hardware and Process Efficiency
Evaluate process performance using metrics such as cycle time, throughput, first-pass yield, downtime, capacity utilization, and defect rates.
Support root-cause investigations by connecting process conditions, equipment signals, test results, and quality outcomes.
Measure the impact of process changes and recommend improvements that reduce manual effort, improve throughput, or increase quality.
Analytics and Communication
Create dashboards, reports, and visualizations that support technical and operational decisions.
Document methods, assumptions, findings, and recommendations.
Present results clearly to engineers, technical leaders, and cross-functional stakeholders.
Required Qualifications:
Working toward a Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Industrial Engineering, Manufacturing Engineering, Electrical Engineering, Mechanical Engineering, or a related field.
Coursework or project experience in Python, SQL, MATLAB, statistics, data visualization, or machine learning.
Able to work full-time, 40 hours per week.
Preferred Qualifications:
Experience with Python libraries or tools such as pandas, NumPy, scikit-learn, PyTorch, or TensorFlow.
Familiarity with Power BI, Tableau, time-series analysis, anomaly detection, predictive maintenance, statistical process control, optimization, or design of experiments.
Basic understanding of manufacturing, hardware development, robotics, automated testing, embedded systems, or production operations.
Must be graduating between December 2027 and June 2028
Intent to return to degree program after the completion of the internship.
Compensation:
What you’ll get from us (Benefits):
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 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
Global Manufacturing Electrical & SDV is looking for innovators who thrive in tough challenges and are passionate about tackling meaningful work that will shape the future of the automotive industry. This isn’t a role for those looking for an easy path—it’s for those who embrace change, push through obstacles, and take ownership of complex problems. 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 ensure that vehicle designs are safe, manufacturable, ergonomic, and aligned with plant needs, enabling GM to deliver innovative, high-quality vehicles to our customers.
WHAT: As an Electrical Product Interface Engineer, you will represent manufacturing in Product Development by reviewing vehicle designs and defining assembly methods that meet manufacturing requirements and enable safe, efficient, buildable vehicles
HOW: This role collaborates with Product Engineering and assembly plants to evaluate static and dynamic studies, virtual and virtual-reality builds, ergonomics, and prototypes. It also contributes to design reviews, using plant experience and customer feedback to develop practical, buildable solutions.
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 30% domestic and international travel.
What You’ll Do (Responsibilities):
· Evaluate product designs and advocate for manufacturing requirements with cross-functional stakeholders.
· Partner with Product Engineering, Global Manufacturing Engineering, Architecture Leads, and assembly plants to align requirements and resolve issues.
· Verify vehicle manufacturing requirements, manage deviations, and escalate issues when needed.
· Lead virtual studies, product reviews, PFMEA activities, and vehicle build events to identify manufacturing and ergonomic concerns.
· Develop build sequences, assembly processes, and tooling requirements that support safe, high-quality, cost-effective vehicle production.
· 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.
Your Skills and Abilities (Required Qualifications):
· Experience supporting a program launch with General Assembly or Final Assembly Plants.
· Knowledge of Manufacturing Engineering execution, tooling, and General assembly plant operations.
· Excellent verbal and written communication skills.
· Ability to communicate complex concepts and issues clearly to peers with varying levels of English proficiency.
· Strong VIS Mockup skills or the ability to learn software tools quickly.
· Knowledge of Vehicle Systems Manufacturing Engineering processes and GM systems, including MPS, VAA, ECR/EDGE, Auros, FIT, GLP, VDP, PRTS, and LMS.
· Ability to travel domestically and internationally up to 30% of the time, or as required.
What Will Give You a Competitive Edge (Preferred Qualifications):
]]>
We are seeking a Senior Systems Engineer to join the AV team to contribute to defining how autonomous sensing systems are architected and integrated across GM’s autonomy programs. This role focuses on system‑level decisions at the intersection of sensors, embedded software, vehicle platforms, and autonomy software, ensuring that sensing solutions are technically sound, aligned with product intent, and executable in production.
In this position, you will perform system‑level trade studies and support the definition of multi-modality sensor suites spanning camera, radar, lidar, and more. You will work closely with AI/ML, platform software, and vehicle integration teams to address real engineering challenges. The role is intended for engineers who are comfortable operating with autonomy, applying first‑principles and physics-based analysis, and delivering robust technical contributions 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:
Your Skills & Abilities
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.
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.)
To help facilitate administration of relocation benefits if you are selected, please apply using the permanent address you would move from.
Locations :
Warren, Michigan
Milford, Michigan
The ADAS Software organization plays a pivotal role in developing software that supports GM’s advanced driver assistance systems (ADAS) and automated driving capabilities. Interns may support either the ADAS Application Software team or the ADAS Mapping Software team, working with cross-functional partners to deliver reliable, integrated, and tested software for features such as Super Cruise, Adaptive Cruise Control, Lane Centering, Front and Rear Impact Mitigation, Lane Keep Assist, and other ADAS capabilities.
The ADAS Application Software team focuses on software that enables ADAS features and vehicle behaviors. The ADAS Mapping Software team focuses on software that uses map-related data and services to support ADAS functionality. Work may span development, testing, integration, analysis, and documentation, depending on team and project needs.
As an intern, you will contribute to software projects supporting GM ADAS systems. The specific area of focus may include application software, mapping software, embedded software, testing, integration, or related development activities. You will work with experienced engineers and cross-functional teams to help develop robust software solutions and improve the reliability and efficiency of ADAS products.
Compensation:
What you’ll get from us (Benefits):
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.
The Role
This role is for a senior individual contributor in Data Engineering who can independently lead complex technical work, apply strong professional judgment, improve processes and delivery patterns, and move quickly from ideas to production solutions. At this level, the individual is expected to operate with minimal guidance, resolve non-standard problems using advanced analytical thinking, take ownership of outcomes, and serve as a technical resource for less experienced team members.
The role is anchored in data engineering with a strong focus on automation and Agentic AI. The engineer will build reliable data platforms and use technologies such as Cursor, large language models, Vector Search, Databricks agents, RAG, and similar tools to accelerate engineering delivery and enable intelligent data experiences. The engineer will partner with data scientists and ML engineers as needed to support experimentation and productionize AI solutions, while data engineering and platform delivery remain the primary focus.
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
]]>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
General Motors is seeking a Principal/Staff Software Engineer to shape and scale the engineering platforms that build, test, integrate, validate, and deliver embedded software for software-defined vehicles. This role is for a hands-on technical leader who can turn ambiguous, cross-team problems into durable architecture, practical standards, and measurable improvements in engineering effectiveness, release confidence, and product quality.
The successful candidate will lead a major capability across multiple teams, influence technical direction beyond their immediate organization, and connect software, tooling, infrastructure, test, and release activities into a coherent engineering system.
What You'll Do (Responsibilities):
Key Deliverables
Measures of Success
Qualifications/Requirements
People Skills:
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 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:
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 AV Fleet Data Engineering team is responsible for the design, requirements, integration, validation, and execution of E2E AV/ADAS data needs. As a Senior Calibration Engineer, you will provide technical leadership for the calibration, integration, validation, and deployment of production-level data recording solutions across vehicle programs and software platforms.
This role will lead hands-on engineering activities across vehicles, benches, simulation environments, and connected fleet test campaigns. The engineer will work closely with software, systems, platform, quality, data engineering, and ADAS feature teams to ensure data recording configurations are accurate, reliable, scalable, and capable of supporting product development, fleet monitoring, machine-learning data collection, regulatory needs, and customer-driven product improvements.
What You'll Do
Your Skills & Abilities (Required Qualifications)
What Will Give You A Competitive Edge (Preferred Qualifications)
*This position requires the ability to legally operate a motor vehicle on a regular basis. *
]]>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.
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:
GM Defense is seeking an Interior Validation Engineer to lead validation activities for interior systems and components supporting defense, government, and specialty vehicle programs. The role will translate customer, system, regulatory, and engineering requirements into robust validation plans; coordinate test execution; analyze results; and drive issue resolution through program launch.
The engineer will work closely with design release, systems engineering, manufacturing, quality, suppliers, program management, and other validation teams to ensure interior products meet performance, durability, safety, appearance, and customer requirements. Interior validation scope may include seats, seat belts, airbag and steering-wheel systems, instrument panels, floor consoles, door trim, overhead systems, hard trim, and related components. Source: GM Defense Electrical Validation Engineer ; Source: Interior Validation Test Checklists
What You'll Do (Responsibilities):
Cross-Functional Leadership
Your Skills & Abilities (Required Qualifications):
What Can 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 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.)
#GMD
]]>At General Motors, world-class vehicle quality begins with the details customers see, feel, and trust: panel fit, functional gaps, structural alignment, assembly consistency, and confidence that every component performs as designed.
We are seeking a motivated Dimensional Systems Engineer to help transform dimensional engineering within our organization. In this role, you will connect product design, manufacturing, suppliers, and vehicle assembly through robust dimensional strategies along with innovative ideas that will help us shape the future.
You will influence complex vehicle programs from advanced development through production by applying the four pillars of dimensional engineering:
This is an opportunity to serve as the technical voice that helps define how the vehicle comes together while delivering measurable improvements in fit, function, variation, launch performance, and manufacturing efficiency.
What You'll Do
Dimensional Management
Innovation and Digital Transformation
Warranty, Launch, and Automation Engagement
Program Execution
Your Skills & Abilities (Required Qualifications)
What Will Give You A Competitive Edge (Preferred Qualifications)
Why This Role Matters
You will help prevent variation before it becomes a launch issue, turn complex dimensional data into actionable decisions, strengthen supplier process capability, and help design teams balance performance, manufacturability, and assembly robustness.
Your work will influence vehicle quality long before the customer sees the finished product—helping GM build body structures that are precise by design, repeatable in manufacturing, and exceptional in the hands of the customer.
You will be part of a transformational organization advancing vehicle quality through automation, artificial intelligence, digital engineering, and connected manufacturing and measurement systems.
]]>As a valued Intern in the Mechanics, Materials, and Process Research Lab at General Motors Research and Development, you will advance computational materials science at continuum length scales to accelerate the discovery, design, and deployment of materials for next-generation vehicle and manufacturing applications. You will propose new research directions, establish technical research plans, and lead collaborative studies that connect material composition, microstructure, processing, performance, and engineering requirements.
You will develop and apply continuum-scale models, simulation workflows, and data-driven methods to generate new insights into materials behavior across relevant spatial and temporal scales. Your work will guide experimental research, enable efficient materials down-selection, and help translate computational discoveries into practical materials and manufacturing solutions. You will document and communicate results through high-quality technical reports, external publications, presentations, software or workflow documentation, and records of invention.
The Team:
This position supports the development of advanced materials and manufacturing technologies for future GM products and processes. The intern will work at the intersection of continuum-scale simulation, materials discovery, experimental validation, and application-focused engineering.
What You’ll Do:
Required Qualifications:
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., H1-B, OPT, STEM OPT, CPT, TN, J-1, etc).
The position is subject to export control restrictions and requires the successful candidate to be a U.S. Person (U.S. citizen, U.S. permanent resident, asylee or refugee).
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 minimum [or other frequency dictated by the business].
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 Researcher will contribute to aftertreatment catalysis research, combining strong scientific fundamentals with practical understanding of automotive emissions systems. This individual will design and execute laboratory studies, interpret catalyst characterization data, and help translate research findings into product-relevant recommendations for catalyst formulation, structure, and system integration. The role also includes collaboration with engineering, modeling, and external research teams, with opportunities to grow technical depth through mentorship.
The Team:
At General Motors, we are seeking an early-career Researcher to advance aftertreatment catalysis technologies that improve emissions performance, durability, and cost competitiveness for automotive applications. This role is well suited for a researcher or recent PhD graduate who is excited to combine fundamental catalytic science, hands-on experimentation, data analytics, and artificial intelligence/machine learning (AI/ML) to develop robust catalyst designs.
What You’ll Do:
Required Qualifications:
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., H1-B, OPT, STEM OPT, CPT, TN, J-1, etc).
The position is subject to export control restrictions and requires the successful candidate to be a U.S. Person (U.S. citizen, U.S. permanent resident, asylee or refugee).
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 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.
]]>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.
This position is remote, and does not require employees to be on-site full-time to perform most effectively. The role enables employees to work at a GM facility (Markham or Oshawa) or off-site as frequently as needed or desired.
About Us
The AI Cloud and Developer Infrastructure organization is responsible for delivering and maintaining the tools and services that engineers here at GM use every day to do their best work and drive our cars forward. We work on tools and services that enhance the entire development process for engineers at GM—from how and where code is checked out, modified, compiled, tested, and merged to how it is eventually deployed. Our goal is to ensure that our AV engineers and others here have world-class tools and a seamless development experience so they can focus on the problems that matter most in their domain.
The Role
We are looking for a Senior Software Engineer with an extensive engineering background, experience using a variety of developer tools and technologies, and a passion for developer productivity. As a leader on this team, you will care deeply about the technical development of other engineers and effectively balance the needs and priorities of the business, our users, and the growth of our engineers.
The Team
The Autonomy Build & Integration team stewards the end-to-end continuous integration (CI), continuous delivery (CD), build, and release workflows that enable our Autonomous Driving Active Safety (ADAS) features, particularly Super Cruise. We aim to turn software changes into safe, shippable artifacts with confidence and quality. We build and operate the foundations behind application and system-on-chip image builds, CI pipelines, artifact and image management, validation benches, and release promotion workflows. Our mission is to make development faster, software better, and engineering impact stronger by improving pipeline reliability and performance, standardizing quality and compliance gates, strengthening observability, and converging our existing workflows with common build and orchestration infrastructure across AV.
What You'll Do (Responsibilities)
Required Skills and Experience
Preferred Skills and Experience
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:
As an individual contributor on the HID Quality team, you will evaluate experiences across programs, brands, systems, and domains to determine if the implementation aligns with approved design intent and raise defects with our cross-functional partners when it does not. You will assess brand alignment, consistency across in-vehicle displays, and cohesion across end-to-end infotainment experiences, then drive clear, actionable outcomes with cross-functional partners.
You will conduct regular software reviews in vehicles and on system benches, coordinate review activities, document findings through Jira or other appropriate systems, and track issues through resolution. You will also participate in design studio reviews, share lessons learned with the broader In-Vehicle Design team, and travel to MPG for in-person software reviews and issue resolution as needed. Success in this role requires strong autonomy, organization, time management, and follow-through to support vehicle launch readiness.
If you are passionate about design quality, software implementation, and improving the customer experience within in-vehicle systems and digital products, we would love to hear from you.
What You’ll Do
Your Skills & Abilities (Required Qualifications)
What Will Give You A Competitive Edge (Preferred Qualifications)
Job Description Summary
Collaborating on GPS new product launches, interacting with industry leaders and support on project execution activities.
Responsibility:
REQUIREMENTS : Bachelor's degree in Computer Engineering, Mechatronics Engineering, Software Engineering, Electrical Engineering, or related field of study. Three (3) years of experience as a Project Engineer, Program Analyst, or related occupation. OR Master’s degree in Computer Engineering, Mechatronics Engineering, Software Engineering, Electrical Engineering, or related field of study. One (1) year of experience as a Project Engineer, Program Analyst, or related occupation. One (1) year of experience in the following: Software coding including C language, Simulink, State flow, GIT environment, and plant modeling; Development and testing experience on SIL and HIL;and Embedded software and controls development.
#LI-DNI
]]>POSITION’S MISSION:
Elaborate, develop, and implement strategies and tactical plans to identify and increase sales business, improve customer retention, market penetration and customer satisfaction, while always looking for better profitability for GM and the Dealer Network.
Incentive, coordinate and follow-up on innovative ideas/projects/changes to improve businesses
What you will do (responsibilities)
Drive Sales and Aftersales objective attainment for the zone
Encourage and support engagement efforts
Drive communication that supports the Business's market plans
Mentor, lead and grow talent
Coordinate dealer contractual agreements; ensure compliance to retail & parts sales performance, customer happiness and dealer profitability
Ensure accurate utilization of empowerment tools
Inspiring team/customers to attain business goals
Performs other duties as assigned
Education : University degree in Business Administration, Marketing, or related fields.
Postgraduate studies or specializations in sales management, business, or marketing are a plus (desirable).
Experience: Field sales roles managing territories or key accounts; within the automotive industry or involving distributor networks
Competencies : Strong results orientation; analytical ability to manage and explain KPIs; negotiation and influencing skills with dealership owners and managers; autonomy and proactivity; excellent oral and written communication skills.
English: Advanced Level (Mandatory)
Valid driver's license.
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:
At GM, safety is the foundation of everything we build. Our vision of zero crashes, zero emissions, and zero congestion depends on engineers like you and as a Crashworthiness Engineer, you'll be on the front lines of making it real.
GM's Global Product Safety, Systems and Certification (GPSSC) organization is seeking Senior Performance Integration Engineers and Performance Integration Engineers. Based on your engineering background, your focus will be on Structural Performance Integration or Post Crash Electrical Integrity (PCEI) . You will lead technical projects across the full vehicle development lifecycle, bringing engineering initiative, creativity, and independent judgment to this work. You will provide technical direction while collaborating with cross-functional groups to prioritize safety and balance requirements.
This position may be filled with a Senior Performance Integration Engineer or a Performance Integration Engineer. The level for this role will be determined based on the selected candidate’s qualifications, skills, and experience.
What You’ll Do (Responsibilities):
Additional Responsibilities for Senior Level:
Yours Skills & Abilities (Required Qualifications):
Yours Skills & Abilities (Additional Required Qualifications) Senior Level:
Preferred Skills, Experience and Education:
Additional Preferred Skills, Experience and Education Senior Level:
#LI-KE2
]]>GM is committed to Zero Emission, Zero Crashes and Zero Congestion vision.
About the Group:
At the autonomous vehicles Foundational AI Research team in Israel, which is part of the GM AV AI Research organization , we are shaping next-generation autonomous driving, L3 and beyond . The AI Research organization is dedicated to advancing the state-of-the-art in AI for autonomous vehicles. We are a collaborative, forward-thinking group of researchers and engineers tackling some of the most complex challenges in autonomy and machine learning.
The mission of the AI Research group based in the US, is to create groundbreaking technologies for next-generation autonomous vehicles by combining cutting-edge research with real-world innovation and technology incubation. Among several initiatives , we are building multimodal foundation models (vision–language–action) over fleet- and internet-scale data, and we are building controllable world models that generate realistic, multi-sensor driving data (camera, radar, LiDAR) to strengthen coverage and accelerate long-tail reduction for our L3 autonomy product.
About the Role
This position is limited to the three-month .
Students are expected to work full-time in a hybrid setup, including at least three onsite days per week.
As an AI/ML Research Intern on the AI Research team, you’ll work on cutting-edge projects advancing vehicle autonomy, developing algorithms and models that shape the future of self-driving technology. This internship provides experience with real-world AI/ML systems, collaboration with leading researchers and engineers, and mentorship from experienced AV researchers to grow your skills in the autonomous vehicle industry.
What will YOU do?
Your Skills & Abilities (Required Qualifications)
What Can Give You a Competitive Edge (Preferred Qualifications)
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.
About the Role
Own the technology that powers next-generation infotainment. At General Motors, you'll build the delivery engine that moves software from engineers' hands into vehicles driven by millions of people every day. We're tackling software-defined vehicles at a scale few companies can match and we need a Staff Software Engineer ready to accelerate that mission. You'll make software delivery faster, smarter, and more reliable, shaping how GM delivers the future of driving.
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 NextGen infotainment software delivery.
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 the California Bay Area.
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.
#LI-SA2
The Role
GM Motorsports Competition Engineering is seeking a Controls Integration & Systems Engineer to support the development and integration of advanced motorsports vehicle control systems for the customer racing GT3 program. This role will work across controls, software, electronics, vehicle performance, and trackside operations to deliver reliable, track-ready solutions. The position requires motorsports engineering expertise, leadership, and the ability to collaborate across internal GM teams and external partners.
What You’ll Do
Your Skills & Abilities (Required Qualifications)
What Will Give You a Competitive Edge (Preferred Qualifications)
Success in This Role
Success will be demonstrated through reliable software integration, efficient issue resolution, improved test and documentation processes, and timely delivery of validated systems solutions supporting GT3 customer teams and GT3 vehicle development milestones.
Work Environment
This role requires collaboration across engineering, testing, and trackside environments. The position may involve work at GM facilities, test locations, dynamometer facilities, and race events.
#LI-LP2
]]>
ML Compute: Streamlines and optimizes large-scale ML training and inference across cloud and on-prem compute resources.
AV Pipelines & Lineage: Automates ML workflows via Orchestration platform 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.
About the Role:
As an intern, you will help develop and optimize our AV ML Infra by improving data processing pipelines, scheduling, accelerating model training and inference workflows, and/orenhancing testing infrastructure like Carbench/HIL. You will support tool development, instrumentation, and system monitoring to boost reliability, reduce latency, and increase iteration speed for autonomous driving performance.
What You’ll Do:
• Develop scalable infrastructure and tools to support model training,
regression, and rules-based models, operations, and inference.
• Suggest, collect and synthesize requirements and create effective feature
roadmap.
• Code deliverables in tandem with the engineering team.
• Adapt standard machine learning methods to best exploit modern parallel
environments (e.g. distributed clusters, multicore SMP, and GPU).
• Perform specific responsibilities which vary by team.
Required Qualifications:
• Currently enrolled in a full-time, degree-seeking program and in the process of obtaining a Bachelor's or Master's degree in computer science or a related technical field.
• Experience in systems software or algorithms.
• Experience with modern object-oriented programming languages (e.g., Java, C++, Python). Experience coding in Java, C/C++, Perl, PHP, GO or Python.
• Strong communication skills with experience collaborating across cross-
functional teams.
• Able to work full-time, 40 hours per week.
Preferred Qualifications:
• Demonstrated software engineer experience via an internship, work
experience, coding competitions.
• Familiarity with AI-assisted engineering tools (e.g., for code generation,
model analysis, or experiment planning).
• Demonstrated creativity and quick problem-solving capabilities.
• Research and/or work experience in machine learning infrastructure.
• Experience with Hadoop/Hbase/Pig or Mapreduce/Sawzall/Bigtable.
• Experience with distributed systems (e.g., Spark, Ray, Kubernetes, Slurm).
• Experience in scheduling algorithms, orchestration or compute.
• Intent to return to degree-program after internship.
• Graduating between December 2027 and August 2028.
Compensation:
• The monthly salary range for this role is $9,600 - $11,800 per month.
• GM will provide a one-time lump sum taxable stipend payment to eligible
students selected for the 2027 Student Program.
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
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
What you bring
Preferred experience
Why join us?
This is an opportunity to shape the reliability foundations of GM’s next generation of connected, software-defined vehicles. You will work on meaningful systems at global scale while helping define how modern SRE teams use automation, observability, operational excellence, and AI to deliver better outcomes for customers.
]]>Atividades:
Qualificações obrigatórias:
Qualificações Desejáveis:
ATENÇÃO: Não esqueça de anexar currículo com e-mail ativo.
]]>About the Role
We are seeking an experienced Staff Systems Engineer to lead AV system architecture initiatives across one or more products and functional areas.
You will be responsible for defining and managing system-level requirements and architectures, optimizing resource allocation across computational and networking subsystems, and working closely with software and hardware teams to ensure seamless integration of vehicle platform components. This role is highly collaborative, strategic, and technical, influencing platform roadmaps and long-term technical direction.
Key Responsibilities
Your Skills & Abilities (Required Qualifications)
Exceptional candidates may also have
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:
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 successful candidate will provide technical leadership in system architecture, integration planning, issue resolution, and program execution, ensuring alignment between hardware designs, software development, validation activities, and manufacturing readiness from concept through production launch.
Key Responsibilities
System Architecture & Cross-Functional Leadership
Hardware & Software Integration
Requirements Management & Change Control
Validation, Testing & Troubleshooting
Manufacturing & Launch Support
Required Qualifications
Preferred Qualifications
What You'll Do
You will lead the integration of complex hardware and software systems that enable GM's next-generation vehicle architecture, ensuring seamless execution from concept through production launch. Working across engineering, validation, manufacturing, and program teams, you will help deliver robust, high-quality vehicle electronics platforms that support the future of software-defined vehicles.
]]>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:
Atuação na linha de produção de automóveis, montagem e instalações de painéis, tapeçaria, motor, bancos, portas, manuseio de materiais, etc.
Abastecimento de linhas produtivas;
Montagem de equipamentos, operação, manutenção e limpeza de máquinas e assistência aos operadores;
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 seguranças estabelecidas pela empresa para que possa realizar as atividades de maneira segura;
Revezar os postos de trabalho.
Necessário ter:
Formação: Ensino Fundamental Completo com certificado;
Disponibilidade para trabalhar em qualquer turno, finais de semana e feriados, quando houver a necessidade;
Disponibilidade para atuar em São Caetano do Sul.
Qualificações Desejáveis:
Curso técnico
Curso de Operador de Empilhadeira com certificado (área de Manuseio)
CNH (carteira Nacional de Habilitação) ativa e que dirija
Experiência em montagem em indústria automotiva, autopeças, concessionárias, instalações de sons, pintura automotiva, tapeçaria;
Importante:
Para completar sua candidatura, é necessário anexar em seu perfil o currículo
atualizado.
Liderar la estrategia comercial y la ejecución de ventas de vehículos livianos de GM/Chevrolet en Bolivia, asegurando el cumplimiento sostenible de los objetivos de volumen, participación de mercado, rentabilidad, inventario, experiencia del cliente y postventa.
Educación:
Experiencia y conocimientos específicos:
Disponibilidad para viajar fuera del país una o dos semanas al mes
Habilidades: Orientado a la accción y resultados, capacidad de negociación, análisis, resolución de conflictos, enfoque en el cliente
Competencias: Visión estratégica, capacidad administrativa, planificación, dirección, capacidad de negociación, gestión del tiempo, gestión de prioridades, orientación a objetivos, agilidad estratégica, innovación, integridad y confianza, transparencia.
The Role
AVD Chassis Design Release Engineer
The Advanced Vehicle Development (AVD) team has multiple Design Release Engineer (DRE) openings. Candidates with experience in Brakes, Tire/Wheel Systems (TWS), Fuel, Mounts, Induction, or Exhaust may be a strong fit for this opportunity. The AVD DRE serves as the Design Release Engineer during the advanced development phase for passenger vehicles and light trucks.
The DRE leads subsystem development from initial vehicle architecture and concept design through cost estimation, structural analysis (FEA), performance assessment, and delivery of a sourcing-ready design. Candidates must be able to review and evaluate designs and packaging in Teamcenter and work closely with designers and cross-functional partners to develop manufacturing-feasible solutions.
During the early phases of vehicle development, the DRE is responsible for guiding the team toward balanced subsystem designs that optimize cost, mass, manufacturability, assembly, durability, and vehicle performance. This role requires strong technical judgment, collaboration skills, and the ability to drive design decisions in a fast-paced advanced development environment.
What You'll Do
- Develop engineering subsystem solutions for new vehicle programs.
- Start with a “clean sheet” approach to engineer detailed, balanced system solutions.
- Lead physical integration, packaging, and functional integration work, including performance assessments and trade-off negotiations across competing components and requirements.
- Perform competitive benchmarking for performance, cost, mass, and related attributes.
- Conduct detailed Health of the Parent reviews to ensure lessons learned and prior program issues are addressed in new designs.
- Collaborate daily with Chassis Engineers and key cross-functional partners, including Design, CAE, Design Studio, Vehicle Architecture, Purchasing, Cost Estimating, Performance Integration, Manufacturing, Service Engineering, Body, Powertrain, Electrical, and other commodity teams, to develop the optimal overall vehicle solution.
- Work with designers to ensure CAD data in Unigraphics and Teamcenter is updated regularly; depending on capability, this may include direct CAD updates by the engineering candidate.
- Develop and refine solution imperatives, including piece cost, tooling, mass, quality, performance, and related design objectives, and report status to leadership as required.
- Support early physical mock-up or hardware test activities using 3D-printed parts or other simulated hardware, as needed.
- Lead DFSS or other projects to refine customer requirements and improve design robustness.
- Lead subsystem DFMEA activities.
- Collaborate with downstream Design Release Engineers to support successful sourcing and validation of components and systems for production.
- Collaborate with component technical specialists to ensure GM component and system strategies are correctly implemented on new programs.
- Partner with CAE engineers to assess system performance against requirements and iterate toward an optimized design.
- Create and lead detailed technical peer reviews to ensure best practices and lessons learned are implemented on new programs.
- Create readiness assessments prior to significant program gates to summarize status, risks, and key issues.
Your Skills & Abilities
- Bachelor’s degree in Engineering or extensive equivalent experience.
- Experience in chassis subsystem product engineering and/or analysis, with preference for experience in Brakes, TWS, Fuel, Mounts, Induction, or Exhaust.
- Ability to interrogate Unigraphics CAD data to review designs.
- Ability to work in TeamCenter.
- Ability to work calmly and effectively in an early, rapidly evolving design environment with significant ambiguity and frequent change.
- Ability to collaborate with others to resolve issues and escalate concerns when appropriate.
- Ability to work proactively and manage projects to long-term deliverables without daily guidance
What Will Give You a Competitive Edge
- 5+ years of experience in a chassis subsystem related role.
- Knowledge of industry trends and emerging technologies related to chassis systems
- Experience working in very early vehicle design and development phases.
- Ability to create UG CAD sketches to develop ideas for a designer, when necessary.
- DFSS Green Belt or Black Belt certification.
- Master’s degree in Engineering.
]]>Modelo de Trabalho: Presencial
Liderar a manutenção do Paint Shop, garantindo a confiabilidade, disponibilidade e estabilidade dos ativos, a continuidade operacional e a execução segura das rotinas de manutenção.
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.
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
]]>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
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)
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.
]]>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.
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.
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
]]>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.
]]>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.
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.
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.
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.
What You’ll Do
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.
]]>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.
We’re looking for an engineer who likes getting close to the metal and solving problems that only show up when software meets a real vehicle. In this role, you’ll build safety-critical software for the telematics control unit, working across embedded C++, vehicle communications, system design, integration, validation, and anomaly resolution. You’ll move between architecture discussions, deep debugging sessions, in-vehicle investigation, and supplier collaboration to ship software that has to work reliably in the real world, not just in a simulator.
What You’ll Work On
In this role, you will work on software that lives in one of the most interesting parts of the vehicle stack: where embedded systems, vehicle networking, diagnostics, cloud-connected services, and cellular/telephony behavior all collide.
You won’t just be implementing isolated features. You’ll be tracing problems across system boundaries, debugging issues that reproduce only in real vehicles, balancing reliability and performance in safety-critical code, and figuring out how hardware, firmware, network behavior, cloud services, and supplier implementations interact when things get weird.
If you enjoy deep C++ work, tough root-cause analysis, and the kind of engineering where you can feel the difference between a clean design and a fragile one, this role gives you a lot to dig into.
Key Responsibilities
Lead development of technical solutions for current, new, and major upcoming programs, including requirements specification, system decomposition, design, implementation, test strategy, and issue resolution.
Lead software design for the system team and drive software anomaly investigation, root cause analysis, corrective action, and verification.
Perform complex design analysis and make sound engineering tradeoff decisions across functionality, quality, maintainability, scalability, performance, and safety.
Develop embedded C++ software on a telematics unit, including safety-critical components and connected-vehicle capabilities.
Debug software and system behavior in vehicle, in lab, and across integration environments.
Work directly with suppliers to drive end-to-end ticket resolution, technical clarification, validation follow-through, and closure of field or integration issues.
Provide, communicate, and reinforce common software engineering best practices across the development community.
Act as a subject matter expert for at least one platform area, subsystem, or application component.
Contribute to architecture and design reviews and support system-level technical direction for the team.
Required Qualifications
Bachelor of Science in Computer Science, Computer Engineering, Mathematics, Information Technology, Information Security, Cybersecurity, or a closely related field, with 4 to 6 years of relevant experience, or equivalent demonstrated knowledge such as a bachelor’s degree in another concentration plus 8 years of full-time relevant experience.
Strong C++ software development experience in embedded or systems-level environments.
Experience developing, debugging, and validating software on automotive embedded systems.
Familiarity with CAN and vehicle communication fundamentals.
Familiarity with cloud-connected system behavior and telephony or cellular communication protocols.
Experience performing design analysis and translating requirements into software architecture, interfaces, and implementation plans.
Experience investigating defects, debugging complex issues, and driving corrective action through closure.
Ability to communicate technical concepts clearly across engineering teams, suppliers, and stakeholders.
Ability to work effectively with moderate autonomy while escalating risk and seeking support appropriately when needed.
Preferred Qualifications
Experience with telematics software, connectivity services, or safety-critical automotive domains.
Familiarity with embedded Linux environments
Familiarity with automotive diagnostics
Success Profile
A strong candidate for this role will:
Write efficient and scalable code.
Build software with quality, maintainability, performance, security, functional safety, efficiency, and deployability in mind.
Shift testing and quality activities as early into development as possible.
Solve moderate problems quickly and creatively, while making intentional engineering tradeoffs.
Investigate issues independently, formulate sound approaches, and execute effectively across feature work and problem solving.
Contribute to components or sections of the system architecture and actively participate in design reviews.
Communicate technical concepts effectively and report workstream status accurately when projects encounter risk.
Recognize when help is needed and pull in the right support to keep delivery moving.
Help onboard and support newer engineers on the team.
Example Scope of Technical Ownership
This engineer may own or become the go-to contact for one or more of the following areas:
Telematics application software running on the control unit
Connected services behaviors and platform interactions
Vehicle network communication and diagnostics interfaces
Cellular connectivity, packet data, APN, SMS, or modem-related workflows
Supplier issue triage and end-to-end resolution
Integration and validation support for releases, builds, and field debugging
The Role
The Privacy by Design Engineer is responsible for designing, implementing, and operationalizing privacy controls that embed privacy, data protection, and regulatory compliance into enterprise data platforms, analytics solutions, AI systems, digital products, and vehicle technologies. This role serves as a technical practitioner within a dedicated Privacy Engineering function, ensuring privacy requirements are incorporated early, consistently, and at scale throughout the software development lifecycle.
The engineer collaborates closely with Legal, Privacy, Cybersecurity, Data Governance, Product, and Vehicle Engineering teams to translate regulatory obligations, corporate policies, and privacy risk requirements into practical, reusable technical controls and engineering solutions. This role focuses on building privacy capabilities that enable the compliant use of personal, sensitive, and regulated data while minimizing risk, improving audit readiness, and supporting innovation.
Vehicle Data Scope
This role explicitly includes responsibility for privacy-by-design implementations involving vehicle-generated data and vehicle software systems. The Privacy by Design Engineer partners with vehicle engineering, embedded software, connected vehicle, and systems engineering teams to ensure privacy requirements are incorporated throughout vehicle development processes. This includes designing privacy controls for vehicle identifiers, telemetry, diagnostics, customer data, sensor data, connected services, and downstream data ecosystems.
The role supports the complete vehicle data lifecycle—from in-vehicle data generation and collection through cloud ingestion, analytics, AI processing, data sharing, retention, and disposal—ensuring privacy protections are engineered into vehicle platforms and services from the outset.
What You’ll Do
Privacy Engineering Solutions
Privacy Control Implementation
Engineering Integration
Standards and Governance
Regulatory and Audit Support
Impact and Outcomes
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.)
#LI-CC1
As a member of the GM semiconductor purchasing team, you will be part of developing a strong semiconductor supply chain to support our fast-growing electronics & software needs.
Specifically, you will be responsible for a particular semicategory category and actively leading the development of commodity strategies, sourcing/negotiations, budget, and execution. You will manage relationships, collaborate with suppliers and internal key stakeholders including engineering, legal, finance, operations and drive cross-functional alignment. Work is of a complex nature involving a considerable amount of initiative, analytical work and a high level of independent judgment.
What You’ll Do
Develop and execute purchasing strategies based on business, market, and technology trends and establish strong and competitive supply base
Responsible for purchase of all or a specific portion of productive and/or non-productive materials, supplies, machinery, tooling and/or services
Negotiate price, terms, and other items to complete full contract package
Optimize supply performance by analyzing and applying appropriate tools including benchmarking, cost and value chain analysis, negotiations, supply chain analysis
Work closely with cross functional partners internally and externally to trade off imperatives, identify creative solutions, and gain alignment, incl during RFQ management, change management, Procure to Pay, order fulfillment, and customer satisfaction
Drive for winning outcomes that are focused on the mission of the business
Develop and manage great supplier relationships
Provide pro-active communication and resolution of issues
Develop protection of supply and contingency plans
Your Skills & Abilities (Required Qualifications)
5+ years relevant experience in purchasing, supply chain, program/product management, logistics or product development (any internship or co-op experience will not be considered)
Experience in Semiconductors
Experience managing and negotiating commercial issues with suppliers as well as contract drafting, redlining, and working cross functionally with legal
Proven leadership capability
Strong analytical skills
Open-minded self-starter with the ability to adapt, improvise, and problem-solve
Ability to work independently on multiple tasks and projects with various stakeholders within time constraints, as well as building relationships internally & externally
Experience working in a fast-paced and evolving environment
Highly proficient oral and written communication skills and adept at engaging and presenting to Senior Executives
Demonstrates ability to develop and apply deep cost knowledge
Knowledge of procurement and materials software, as well as MS software applications
10% travel internationally and domestically
What Will Give You a Competitive Edge (Preferred Qualifications)
Bachelor’s Degree in Business, Supply Chain, Engineering, Finance, or related field
MBA or equivalent experience or evidence of exceptional ability
Compensation:
The salary range for this role is $124,200 – 197,800. 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.
This role is categorized as hybrid. This means the successful candidate is expected to report to Milford, Mi, Warren, MI, Austin, TX or Mountainview, CA three times per week.
Our team turns a firehose of fragmented data into a single pane of glass for vehicle software. We aggregate signals from testing, releases, and the field into dashboards that update engineers and leadership on the state of software planning, quality, and delivery performance across millions of vehicles. This is a dynamic space where the architecture and solutions are still taking shape, and we're looking for a senior engineer eager to shape them and make real impact on a project with executive-level visibility.
As a Senior Software Engineer, you will own complex, full-stack systems end-to-end, from data ingestion to the interfaces that surface insight. You will architect solutions across a React frontend and Go backend, set technical direction for your work streams, and raise the bar for quality and reliability while mentoring engineers around you.
Your Skills & Abilities (Required Qualifications)
Additional Information:
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. 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 Role
The Automation Integration Engineer is a member of the HR Technology team and responsible for designing, building, and implementing intelligent plugins and automations that enhance our enterprise workflows.
In this role, you will be responsible for executing the HR Automation and AI product roadmap, aligning with HR organization goals and helping maximize value from investments in Agentic AI platforms with other systems like ServiceNow and Workday HCM.
The ideal candidate has deep technical expertise in integrations, automation, and intelligent workflow design. This senior-level role requires someone who is not only an exceptional developer but also a strong communicator, partner, and project driver who can work across business and technology teams, i.e. Business COEs, People Services , HR Technology and IT stakeholders to implement scalable solutions.
What You'll Do
Your Skills and Abilities (Required Qualifications)
What Will Give You A Strong Edge (Preferred Qualifications)
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:
REQUIREMENTS: Bachelor's degree in Mechanical Engineering, Automotive Engineering, Aerospace Engineering, or a related field and Five (5) years of experience as a CAE Engineer, Automotive Engineer, Mechanical Engineer, or related role. Five (5) years of experience with the following: 2D and 3D CAD modeling; Finite Element Analysis Tools; Structural Durability Analysis and Simulations Utilizing N Code including Design Life; Linear and Non-Linear Simulations including Abaqus, Nastran and Dyna; Performing structural analysis on complete Trimmed Vehicle Structure Consisting of BIW, Chassis Structure, Interior Structure (IP), Fixed Glass, Bumpers, Modules, and Closures; and Developing new engineering analysis capabilities.
#LI-DNI
]]>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.
]]>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 for Synthetic Data, you will define and execute the strategy and roadmap for enhancing the trust in Synthetic data used to create GMs next generation autonomy. This role will drive innovation in how we utilize and scale Synthetic Data to provide training data and insights faster to the autonomy development and validation teams. You’ll lead cross-functional efforts to drive alignment and roadmap across Simulation, ML infrastructure and Autonomy development.
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
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 the 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 $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
]]>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:
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.
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. You will:
What You’ll Do
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:
- 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 Warren, MI or Austin, TX, three times per week, at minimum, or as dictated by business needs.
]]> About the Team
The HIL Platform and Services team in GM’s Autonomous Vehicle (AV) Organization is responsible for developing and scaling high-fidelity, reliable Hardware-in-the-Loop (HIL) validation platforms that test AV software before it’s deployed to vehicles. Our platforms ensure enterprise usability, end-user functionality, and high-quality, use-case-driven signals for AV performance validation and AV system reliability.
We build and operate the systems that let AV teams validate perception, planning, control, and AI models against real hardware interfaces and complex scenarios, long before they reach the road.
About the Role
As a Software Engineer on the HIL Platform and Services team, you will be at the intersection of AV software and AI models and the hardware systems that enable vehicle autonomy. You will help shape what it takes to run, deploy, and test software on the next generation of GM AVs. You will work closely with teams across the AV organization – including Embodied AI, Model Deployment, Middleware, OS, Sensor Applications, and Vehicle Integration – to build the software and tooling that make large-scale HIL validation possible.
This is an early-career / new graduate role designed for candidates who have recently or will be completing their degree by June 2026. You will be paired with experienced engineers to help you ramp up on AV Software, the Software HIL platform and services concepts, and our internal HIL platforms themselves.
What You’ll Be Doing (Responsibilities)
Develop software to increase the capabilities, fidelity, observability, and scale of our HIL platform and integration services.
Build and extend services and tools that make it easy for AV teams to configure, run, and debug tests on HIL benches.
Deliver reliable software through clear requirements generation, continuous integration, automated testing, issue tracking, and code reviews.
Collaborate with colleagues across multiple AV teams to understand their validation needs and translate them into platform features.
Deliver complex projects through incremental development, iterating quickly while maintaining quality and reliability.
Basic Qualifications (Required)
Currently has, or is in the process of obtaining a Bachelor or Master's degree in Computer Science or relevant technical field.
Degree must be completed prior to joining GM
Strong systems fundamentals (for example, data structures, algorithms, operating systems, or computer architecture) and solid coding abilities in Python and/or C++, demonstrated through coursework, internships, or substantial projects.
Understanding of how to design high-performance software components (for example, from systems, OS, networks, or performance-sensitive projects).
Experience developing in a Linux environment (class projects, labs, research, or internships all qualify).
Ability to work effectively in a collaborative, cross-functional team, with clear written and verbal communication.
Preferred Qualifications (Nice to Have)
Experience optimizing or evaluating complex software systems on dedicated hardware (for example, GPUs, embedded boards, FPGAs, or custom test rigs).
Exposure to ROS architectures (robotics projects, labs, or internships).
Experience with low-latency or real-time systems (for example, control loops, real-time simulations, or latency-sensitive services).
Prior exposure to the autonomous driving, robotics, or real-time simulation domains (internships, research, or substantial personal projects).
Experience with SQL
Familiarity with a large build system such as Bazel, CMake, or similar for multi-language, multi-target projects.
Location:
Sunnyvale, CA
This role is categorized as hybrid. This means the selected candidate is expected to report to a specific location at least 3 times a week.
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 New York, Colorado, California, or Washington.
The salary range for this role : is $119,250 to $150,850. 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.
What you’ll get from us (Benefits):
Paid US GM Holidays
GM Family First Vehicle Discount Program
Result-based potential for growth within GM
Variety of health and wellbeing benefit programs 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.
The Role
The team members will execute, analyze, and deliver ergonomic simulations with the desired quality and on-time delivery (OTD). They are required to learn and use GM’s digital human modeling tools, and leverage lessons learned from other new product programs and manufacturing plants to support decision-making. The role requires the ability to assimilate data from multiple sources and apply both practical and technical problem-solving techniques. Decisions are made within the framework of general practices, policies, and procedures.
This position is based at GM Technical Center India, Bengaluru.
What You’ll Do
Establish bench strength by recruiting, training, and developing engineers to meet business objectives, while ensuring diversity and inclusion
Drive a safety culture by adhering to GM Global Workplace Safety Systems
Contribute to strategic 3–5-year planning and develop the team from both organizational and technical perspectives
Work with leadership to set and drive annual business objectives; set individual and team priorities, and regularly review and approve team members’ work
Ensure team deliverables are executed on time and that leadership is informed of status and any issues
Champion continuous improvement initiatives by utilizing feedback and metrics (quality, delivery rate, etc.) to reduce waste and improve productivity
Establish performance goals, conduct reviews, coach and mentor team members, and provide candid and constructive feedback
Manage team workload, support resource planning, and forecast and track budgets
Seek and review feedback from launch sites and supported plants through local ME teams on workshare activities
Ensure compliance with all GM policies and procedures
Support team members in analyzing and resolving complex manufacturing problems
Stay updated on new technologies and competitive products
Collaborate with GM and external technical communities to develop technology roadmap solutions
Your Skills & Abilities (Required Qualifications)
Master’s or Bachelor’s degree in Mechanical, Production, or Industrial Engineering, or equivalent.
15+ years of experience in automotive manufacturing or Manufacturing Engineering (OEM or Tier 1 supplier).
Hands-on experience in ergonomic assessments/simulations and manufacturing engineering applications preferred.
Knowledge of automotive manufacturing processes, equipment, facilities, materials, and operations.
Hands-on experience with CAD, Teamcenter, and other Manufacturing Engineering tools.
Hands-on experience with VisMockup, Process Simulate, Vis Jack, or Classic Jack for 3D human modeling simulations (advanced computer skills preferred).
Process knowledge of vehicle assembly
Knowledge of collaboration, data management, and analytics tools such as SharePoint and Power BI.
Working knowledge of Work Standardization and Workplace Safety Systems.
Working knowledge of Operational Excellence (OpEx) concepts
Strong understanding of launch timelines/processes, Quality Chain, and DFMEA-PFMEA
Knowledge of OpEx tools, Six Sigma, and Red X methodologies
Proficiency in Agile project management methodologies
Knowledge of AI/ML applications in manufacturing, including predictive analytics, process optimization, and quality analytics (e.g., defect prediction)
Demonstrated understanding of vehicle anatomy
Knowledge of General Assembly processes
Ability to organize, plan, and execute manufacturing and/or ergonomic projects
Knowledge of VisMockup/NX for 3D human modeling simulations
Strong interpersonal and relationship management skills with the ability to collaborate across organizational levels
Excellent written and verbal communication skills, with the ability to simplify complex concepts
Experience working with internal and external stakeholders
Exposure to programming or software customization is an added advantage
Proven skills in Agile project management
Ability to work with cross-cultural, multidisciplinary, and remote teams to achieve functional goals, including AI-led transformation initiatives
Ability to organize, plan, prioritize, and execute projects with strong attention to detail, leveraging data-driven decision-making
Ability to effectively lead meetings and workshops, including driving adoption of AI tools and data-centric practices
Ability to interpret data and translate analytics outputs into actionable improvements
Willingness to travel across regions as required.
What Will Give You A Competitive Edge (Preferred Qualifications)
People Development
Change Leadership
Results Orientation
Team Leadership
Collaboration and Influencing
Strategic Orientation
Customer Focus
As a CFD Engineer – Propulsion and Battery Systems, you will lead DFMEA-driven 3D
Computational Fluid Dynamics (CFD) analysis at the component, subsystem, and
system level to optimize thermal performance and system reliability across GM propulsion
systems. Operating within a DFMEA-centric environment, you will use virtual engineering
to identify failure modes, evaluate severity/occurrence risks, and drive robust risk
mitigation strategies for propulsion systems, specifically battery and power electronics
thermal performance, durability and safety requirements.
Work Arrangement
Hybrid work position: This position does not require an employee to be on-site full-time to
perform most effectively. The employee’s role enables them to work at a GM facility or off-
site as frequently as needed or desired.
Primary Responsibilities
● Perform DFMEA-aligned 3D CFD analysis focusing on high-voltage battery systems
and power electronics to identify and mitigate critical thermal failure modes at the
cell, module, pack, and system level.
● Simulate and quantify battery Thermal Runaway Propagation (TRP), venting gas
dynamics, and safety physics under severe abuse scenarios to validate DFMEA
mitigation designs, barrier integrity, and failure containment controls.
● Lead thermal risk assessments during early architecture definition and concept
selection using rapid CFD trade studies to eliminate high-risk failure modes prior to
design freeze.
● Correlate virtual failure mode predictions with physical test and validation data to
ensure simulation fidelity in predicting real-world failure thresholds and reliability
margins.
● Clearly and effectively communicate analysis plans, assumptions, and results to
internal and external stakeholders using presentations, reports, and design reviews.
● Meet or exceed timing, quality, and cost targets within structured product
development processes.
● Participate in and/or lead benchmarking and advanced methods activities to
continuously improve GM’s virtual engineering capabilities in CFD and multi-
physics analysis.
Required Skills and Experience
● 5+ years of experience with simulation, design, testing, or release of propulsion-
related systems (e.g., engines, transmissions, e-drive units, batteries, power
electronics, thermal management systems).
● Hands-on experience with at least one commercial 3D CFD software package
(e.g., STAR-CCM+, Simerics-MP+, Fluent, or equivalent).
● Demonstrated understanding of heat transfer and fluid mechanics (conduction,
convection, radiation, pressure loss, turbulence, etc.) applied to real engineering
systems.
● Familiarity or practical experience with vehicle propulsion system design,
operation, or testing.
● BS in Mechanical or Aerospace Engineering (or closely related field) required.
Preferred Skills and Experience
● 5+ years of advanced experience with 3D CFD thermal and fluid analysis
specialized for battery pack and module systems.
● Experience in modeling battery Thermal Runaway Propagation (TRP) and gas
venting dynamics under severe thermal abuse and cell failure conditions.
● Experience with electro-thermal multi-physics coupling, integrating
electrochemical heat generation models with 3D CFD for cell characterization,
module, and pack simulations.
● Expertise in Artificial Intelligence (AI), Machine Learning (ML), and Reduced
Order Modeling (ROM) for rapid thermal prediction, digital twins, and real-time
CFD surrogate modeling
]]>As a State Estimation Engineer within the SEAM Embodied AI organization, you will be an individual contributor driving cutting-edge localization and sensor calibration 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 participate in critical technical initiatives, collaborate closely with cross-functional teams, work with senior engineers across the organization, and significantly shape the future of onboard autonomous driving capabilities.
What You'll Do (Responsibilities)
Minimum Qualifications (Must-Have)
Preferred Qualifications (Nice-to-Have)
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:
This role provides technical leadership across new product programs, plant launches, equipment upgrades, and production support activities. The engineer collaborates with manufacturing engineering, plant operations, suppliers, product engineering, IT, robotics, safety, cybersecurity, and Global Automation teams to deliver safe, reliable, standardized, and high-performing controls solutions.
Lead controls engineering execution for new and existing manufacturing programs from concept through production launch.
Develop, review, and approve controls hardware and software designs, including PLCs, HMIs, drives, safety systems, I/O, industrial networks, and plant-floor interfaces.
Program, troubleshoot, integrate, and validate automated equipment and production systems.
Apply GM Global Common Controls standards for hardware, software, build, safety, networks, and cybersecurity.
Perform or oversee emulation, offline testing, supplier buyoffs, equipment runoffs, installation, commissioning, and production validation.
Provide technical direction to controls engineers, suppliers, integrators, and plant personnel.
Manage project scope, timing, risks, issues, deliverables, and escalations through resolution.
Partner with equipment suppliers to establish requirements, review designs, resolve technical issues, and ensure compliance with GM standards.
Support plant launches, production ramp-up, equipment modifications, downtime recovery, and complex controls troubleshooting.
Conduct root-cause analysis and implement corrective actions that improve safety, quality, delivery, cost, uptime, and throughput.
Participate in investment studies, preliminary designs, equipment selection, cost estimating, and technical sourcing activities.
Develop and maintain standardized controls templates, engineering tools, design aids, and technical documentation.
Capture lessons learned and incorporate improvements into standards, processes, and future program designs.
Collaborate with global teams on technology development, proof-of-concept activities, and deployment of advanced automation solutions.
Promote a culture of safety, inclusion, accountability, continuous improvement, and technical excellence.
Bachelor’s degree in Electrical Engineering, Controls Engineering, Computer Engineering, or a related technical field.
Five or more years of experience in manufacturing controls, automation, electrical engineering, or a related technical discipline.
Experience designing, programming, integrating, and commissioning automated manufacturing equipment.
Strong experience with PLCs, HMIs, drives, safety controls, industrial networks, and electrical control systems.
Ability to read and interpret electrical schematics, panel layouts, mechanical drawings, and equipment specifications.
Demonstrated experience executing projects and managing equipment suppliers.
Strong analytical, problem-solving, communication, organizational, and decision-making skills.
Ability to work independently and lead cross-functional teams in technical center, supplier, and plant environments.
Willingness to travel domestically and internationally, including occasional extended assignments and off-shift or weekend support during launches.
Master’s degree in Engineering or a related technical field.
Experience in automotive manufacturing, including vehicle assembly, body, paint, stamping, general assembly, propulsion, battery, or conveyor systems.
Knowledge of GM Global Common Controls standards for hardware, software, build, safety, networks, or cybersecurity.
Experience with emulation and virtual validation tools, such as Emulate3D.
Experience integrating controls with plant-floor systems, MES, production monitoring, error proofing, Andon, vehicle tracking, or enterprise IT systems.
Experience with Siemens controls, HMI platforms, EPLAN, machine vision, robotics, or industrial cybersecurity.
Experience developing automation standards, reusable templates, engineering tools, or technical training.
Familiarity with scripting or programming languages such as Python, C#, VBA, JavaScript, or XML.
Experience with lean manufacturing, Six Sigma, and structured problem-solving methodologies.
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 looking for a Staff Individual Contributor who combines exceptional software-engineering execution with enterprise architecture leadership to design and build the next generation of customer-facing AI systems.
This role will lead the architecture and hands-on implementation of reusable modules for conversational AI, agent orchestration, grounding, memory, tool integration, policy enforcement, and AI platform services. The successful candidate will help establish durable technical patterns across cloud services and customer experiences while personally contributing production code in Python and Go and/or Java.
This is a senior technical leadership role, not a people-management position. The engineer will influence architecture, mentor through technical leadership, raise engineering standards, and drive execution through design reviews and implementation—not through direct reports.
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 salary range for this role is $189,300–$333,400 . 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 the geography of the selected candidate.
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 and holidays, tuition assistance programs, employee assistance program, GM vehicle discounts, and more.
At General Motors, we are proud to offer a vast array of career development resources to help you develop, grow, and make the most of your career at GM. As a Senior System Design Engineer , you will help us define, design, and lead the System Design and Technical Specifications for automated driving technologies and AV. In this position, you will have the chance to work at the intersection of System, Architecture, Hardware, Software, and automated driving technology and have a hand in the early stages of GM`s next generation vehicles.
Responsibilities
Requirements
Preferred Skills
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.
AV Platform System Integration and Validation team is responsible for defining, implementing, and optimizing system integration & validation to ensure the quality, safety, and reliability of the AV platform software. We combine deep expertise in hardware, software features, and vehicle systems engineering to ensure the quality, safety, and reliability of the ADAS/AV platform software.
About the Role:
As an Autonomous Driving System Integration & Validation Intern, you will contribute to the integration, testing, and validation of software and hardware systems that power autonomous vehicles. You’ll collaborate with experienced engineers across AV Platform teams to bring up complex systems, develop test automation, analyze results, and help ensure reliable performance in real-world operating environments.
What You Will Do :
Required Qualifications:
Preferred Qualifications:
Work Arrangement:
Hybrid : This role is categorized as hybrid. This means the successful candidate is expected to report to Warren, MI office three times per week, at minimum.
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 a global leader in advanced driver assistance, with Super Cruise hands-free technology in more than 500,000 equipped vehicles on the road and over 700 million hands-free miles driven—demonstrating that automation can be trusted, intuitive, and helpful while reaching everyday drivers at unprecedented scale. Within GM AV, the Model Deployment & Inference Solutions team deploys machine learning models from training frameworks (e.g., PyTorch) onto autonomous-vehicle hardware; our two-fold mission is to build the ML deployment platform that makes model rollouts fast and predictable, and to optimize models so they meet the real-time latency and memory budgets required to run on-vehicle. Our work sits on the critical path for GM’s publicly committed launch of eyes-off (hands-free, eyes-free) autonomous driving in 2028 on the Cadillac Escalade IQ, and we’re hiring engineers to help deliver the next generation of safe, delightful personal autonomous-vehicle experiences.
About the Role
As an early career Engineer on the Model Deployment & Inference Solutions team, you’ll contribute across both sides of our mission: building the ML deployment platform and optimizing models for on-vehicle inference. You’ll work with and learn from senior engineers on real production deployments, platform features, and model-optimization workflows that ship to GM’s Super Cruise fleet at large scale, with structured mentorship and a clear onboarding plan. You’ll also collaborate closely with our sister teams (kernels, compiler, reduced precision, and parity) on the end-to-end path that takes trained models from research frameworks to ultra-efficient, safety-critical inference on the car. This is an early-career / new graduate role designed for candidates who have recently or will be completing their degree by August 2026.
What You’ll Do (Responsibilities)
Contribute production code across the ML deployment platform, model-optimization workflows, and inference benchmarking/profiling infrastructure.
Pair with senior engineers on deployment workflows, performance investigations, model-optimization experiments (e.g., quantization, pruning, distillation), and platform tooling.
Build, test, and maintain platform tools (e.g., validators, performance probes, parity and sensitivity analyzers, agentic specialists) with technical guidance and code review support.
Investigate and help root-cause production deployment or performance issues; learn and apply the diagnostic playbook for compiler, kernel, runtime, and parity bugs.
Collaborate with cross-functional teams across the AV organization; including kernels, compiler, reduced-precision, parity, and model-development groups—to plan and execute model deployments to the AV stack, working under the guidance of senior engineers
Participate in code reviews, design discussions, and technical documentation to ensure reliability, correctness, and clear abstractions in a large-scale codebase.
Learn and follow secure coding, safety, and compliance practices required for on-vehicle autonomous driving software.
Your Skills & Abilities (Required Qualifications)
Recently completed or completing a Bachelor’s or Master’s degree by Spring 2026 in Computer Science, ECE, or a related technical field. (Degree must be completed before your start date.)
Strong computer science fundamentals (e.g., data structures, algorithms, operating systems, computer architecture) and solid coding skills in Python and/or C++, demonstrated through coursework, internships, or substantial projects.
Hands-on experience in AI/ML (e.g., machine learning, deep learning, computer vision, NLP, or ML systems) via classes, research, internships, or personal projects.
Depth in at least one of: computer architecture, operating systems, distributed systems, or compilers.
Demonstrated software-engineering experience (internships, coursework, open-source, research code, or competitions) showing good judgment around r eliability, correctness, and clean abstractions.
Experience with—or strong interest in—using coding assistants/agents (e.g., Cursor, Claude Code, GitHub Copilot) as part of your workflow.
Ability to work effectively in collaborative, cross-functional teams and communicate clearly—both in writing and verbally—including explaining technical work partners
What Will Give You a Competitive Edge (Preferred Qualifications)
Internship, research, or advanced coursework in ML systems, ML compilers, GPU programming (CUDA, OpenAI Triton), inference optimization, or distributed training/serving infrastructure.
Familiarity with PyTorch and modern ML compiler/runtime stacks (e.g., torch.compile, TensorRT, ONNX, Triton Inference Server, vLLM, or equivalent).
Exposure to model optimization (quantization, pruning, distillation) or GPU profiling tools (Nsight Systems, Nsight Compute, PyTorch Profiler).
Familiarity with workflow/ML platforms such as Airflow, Temporal, Flyte, Ray, or Kubeflow.
Experience building agentic or LLM-powered tools or workflows.
Open-source contributions related to PyTorch, TensorRT, vLLM, OpenAI Triton, or similar projects.
Coursework, projects, or publications touching ML systems (e.g., MLSys, OSDI, ASPLOS, HPCA, NeurIPS systems track).
Familiarity with a systems language (e.g., C++) and development in a Linux environment.
Location
Sunnyvale, CA
This role is categorized as hybrid. This means the selected candidate is expected to report to a specific location at least 3 times a week.
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 New York, Colorado, California, or Washington.
The salary range for this role is $119,250 to $150,850. 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 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 Data Engineering organization at General Motors is building a unified Vehicle Data Platform that moves data and configuration between vehicle ECUs and the cloud. Our team is the only team within General Motors that delivers software on every compute module the company has. Our software is delivered as libraries, apps, and services on Android, Linux, and QNX and covers four areas. The control plane retrieves configuration from the cloud and applies it across the vehicle's ECUs. The data plane collects, processes, and forwards data from vehicle systems to cloud storage. The SDK lets application teams use the platform. The unified logging infrastructure manages logs across the vehicle software stack.
We are looking for a Software Engineering Manager to lead a team that owns one or more of these areas. You will hire and develop engineers, make architecture decisions with the team, and own the software through release and field support. You will work with application, platform, cloud, cybersecurity, and privacy teams to deliver software on production ECUs with limited CPU, memory, storage, and bandwidth.
What You'll Do (Responsibilities)
Your Skills & Abilities (Required Qualifications)
What Can Give You a Competitive Advantage (Preferred Qualifications)
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:
About
Join GM’s OS Verification organization and help shape the quality of next-generation In-Vehicle Infotainment (IVI) platforms. As a Staff Software Embedded Test Engineer, you will lead OS verification efforts that ensure software and features meet GM standards for functionality, system quality, security, performance, and architectural compliance.
You will provide hands-on technical leadership across test planning, execution, automation, and quality reporting, working closely with component developers, external system stakeholders, and sustaining and integration teams. This role is responsible for defining robust verification strategies, creating and implementing automated and manual test cases, and driving end-to-end test execution plans for complex software systems.
This is a Staff Software Embedded Test Engineer role that requires strong systems thinking, deep test engineering expertise, and the ability to drive quality across cross-functional teams. You will define scalable validation strategies, expand automation coverage, improve test efficiency, and help ensure GM delivers reliable, high-quality IVI experiences for customers.
The Role
Staff Software Embedded Test Engineer ensures applications meet GM software and feature standards for functional, system, quality, security, performance and architecture requirements. Ability to drive advanced levels of test planning, execution and quality reporting of software applications through engagement with component developers, external system stakeholders, and sustaining/integration groups. This includes the creation and implementation of both automated and manual test cases and test execution plans.
What You'll Do
The Staff Software Embedded Test Engineer will perform reviews of business and software requirements, design verification plans, execute tests, log defects, and report test metrics and test status to the project teams. This role requires experience in platform and embedded low level system design validation, software test strategy and automation, creation of test process deliverables, test metric definition, and clear/concise result reporting.
Work closely with architects, system engineers, developers, and project/program managers to collaboratively provide successful and on-time delivery of projects with the highest possible quality.
Assist in maintaining optimal resource utilization across a functional area; calls out constraints and bandwidth limitations when appropriate.
Interact with managers, technical leads, and peers to share information and clarify instructions, lead projects, build/automate/execute test plans, and assist in test strategy and process improvements.
Analyze and review business and system requirements. Derive and produce accurate test estimates.
Ability to manage work across multiple projects and ability to lead all testing activities on a feature/project.
Comfortable creating test cases that can be executed manually, when necessary, but designed and optimized to be automated; ability to write accompanying automation scripts using industry-standard tools and coding methodology should be ingrained
Execute manual and automated tests, troubleshoot scripts and test environment issues, triage and log defects, and track progress to plan.
Log, track, and verify resolution of requirements and software defects.
Review test plans written by others and provide insightful feedback and assistance.
Evaluate and produce test and project metrics, and can speak knowledgeably to quality concerns and test blockers
Create test-execution plans, categorize and manage test suites, and propose innovations in the testing process via tools, techniques, and process tweaks.
Can act as an SME of the component, system, and business process domain.
Hold themselves and others accountable for demonstrating GM values and cultural behaviors. Models GM behaviors and helps to build a winning culture.
Perform other related duties as assigned.
Your Skills & Abilities (Required Qualifications)
8+ years of embedded software test experience; background in mobile or automotive industries
4+ years of experience in platform and embedded testing
Excellent programming skills in common languages such as Python or C++
Experience with validating platform and system designs
Strong experience with test automation tool development, and scripting, and comfortable with manual testing when necessary
Solid knowledge of software quality assurance methodologies and tools
Outstanding verbal and written communication skills
Self-motivated, curious, able to deliver on time, a quick-learner, and able to work in a fast-paced & flexible work environment
Knowledge of, and experience with, Scrum/Agile software development process
Strong problem-solving and analytical skills, coordination skills, and interpersonal skills
Hands-on experience with CI/CD tools such as Jenkins, GitHub, and Artifactory
What Will Give You A Competitive Edge (Preferred Skills)
10+ years of embedded software test experience with background in embedded IoT or automotive industries
Strong problem-solving and analytical skills, coordination skills, and interpersonal skills
Hands-on experience with CI/CD tools such as Jenkins, GitHub, and Artifactory
Product development or testing experience for the Automotive domain is a plus
Experience with Robot Framework is a plus
Experience with vehicle communication network protocols (CAN, LIN, SomeIP etc.) is a plus
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.
#LI-SA2
GM Defense delivers integrated vehicles, power and propulsion, and autonomy and connectivity solutions to global defense, security, and government markets. GM Defense combines General Motors’ proven engineering and manufacturing capabilities with the mission focus and execution speed required by defense customers.
The Role
GM Defense is seeking an Electrical Design Release Engineer to independently own the design, development, testing, release, and continuous improvement of assigned electrical systems, components, and vehicle functions.
This role is accountable for converting customer and program requirements into robust, manufacturable, serviceable, and validated solutions. The Electrical DRE will work cross-functionally across engineering, program, manufacturing, quality, purchasing, suppliers, and customers to align priorities and deliver results. Success requires comfort operating in ambiguity, adapting to evolving requirements, making sound decisions with incomplete information, and driving issues to closure across the full product lifecycle—from concept and design through build, validation, launch, and field support.
What You'll Do
Your Skills & Abilities (Required Qualifications)
What Will Give You A Competitive Edge (Preferred Qualifications)
#GMD
]]>The Role:
We are seeking Industrial Engineer Co-ops to do hands-on work that would potentially add directly to the bottom line of our culture and our company. You would be responsible for analyzing the efficiency of manufacturing operations and changes related to personnel, material, machines, and facilities. Work involves leadership ability, critical thinking, and communication skills.
What You’ll Do:
Confirms or recommends changes to layouts, labor control and/or material control
Frequent contact with others outside the work group
Assists in developing accurate methods and optimum operation layout
Makes operation descriptions and performs the vital calculations to complete studies and change routines or other systems of labor and material control
Required Qualifications:
Pursuit of a Bachelor’s degree in one of the following areas: Industrial Engineering
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
What Will Give You a Competitive Edge (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.
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.
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.
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
]]>Job Description:
Hybrid: This position does not require an employee to be on-site full-time to perform most effectively. The employee's role enables them to be onsite approximately 3 days per week.
The Role:
Embedded Platform System & Infrastructure (EPSI) is a production level group that supports the definition, design, and development of all embedded controllers related to vehicle mechatronics. The Low Voltage Infrastructure (LVI) organization within EPSI is focused on the development of controls & diagnostic software centered around on-vehicle low voltage power generation, energy storage, power management, and distribution. This role is paramount to the successful review, development, simplification, integration and release of VIP and SDV2.0 architectures controller software. There is no better time to join this domain as we evolve to the next generation of low voltage power strategy, innovation, and capability for EVs, ICE and every product GM has to offer.
We are seeking creative, highly motivated, agile thinkers with passion and expertise in embedded controls. The selected candidate will learn, modify existing and develop new innovative controls strategies, which will be at the core of all vehicles within the General Motors portfolio and essential to keeping General Motors at the forefront of low voltage related technologies.
Responsibilities:
Your Skills & Abilities (Required Qualifications):
What will give you a competitive edge (Preferred Qualifications):
Join General Motors Research & Development as a Summer Research Intern supporting the Vehicle Defense Research group within the Safety, Engineering and Defense Research Lab. In this role, you will contribute to applied research involving military systems, defense technology, vehicle platforms, and emerging technologies.
You will work with experienced research scientists and engineers to evaluate current and emerging defense capabilities, apply evidence-based analysis, and help translate research concepts into vehicle, system, and software applications for federal and defense customers.
This internship is designed for a current undergraduate student who has a strong interest in defense technology and a demonstrated knowledge of, and passion for, military systems.
The Role
As a Summer Research Intern, you will support research planning and execution across defense-focused technical domains. You will collaborate with GM researchers, engineers, and external partners to conduct research, support technical analyses, document findings, and communicate recommendations.
You may contribute to projects involving:
The specific project assignment will depend on business needs, your academic background, and your technical interests.
What You’ll Do:
More About Who You Are
Required Qualifications:
Preferred Qualifications:
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 obtain a security clearance at that level.
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 minimum [or other frequency dictated by the business].
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.
]]>General Motors is seeking a Summer Intern Researcher in Machine Learning for Automation to make meaningful contributions towards driving the development and deployment of advanced learning methods for intelligent robotic systems in manufacturing. This role requires deep technical expertise in machine learning and physical robotics combined with a desire to apply these methods to complex, real-world robotic challenges, supporting the development of next-generation automation and flexible production systems.
What You’ll Do:
Required Qualifications:
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., H1-B, OPT, STEM OPT, CPT, TN, J-1, etc).
The position is subject to export control restrictions and requires the successful candidate to be a U.S. Person (U.S. citizen, U.S. permanent resident, asylee or refugee).
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 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.
As a member of the Vehicle Safety, Engineering & Defense Research Lab, you will be working with the Biometrics & Sensing research group. You will be applying your expertise in autonomous vehicles, driving simulators, human factors, and data science for developing innovative approaches to immersive user studies for automated driving-enabled vehicles. As a researcher in this group, you will implement your solutions in driving simulators 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’ll Do:
Required Qualifications:
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., H1-B, OPT, STEM OPT, CPT, TN, J-1, etc).
The position is subject to export control restrictions and requires the successful candidate to be a U.S. Person (U.S. citizen, U.S. permanent resident, asylee or refugee).
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 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.
]]>These opportunities are categorized as on-site. Successful candidates are expected to work full time on-site in Shanghai, China. The specific work location will be confirmed during the recruitment process according to the position.
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, and emerging technologies into compelling design stories, immersive experiences, and intuitive digital interactions.
This evergreen requisition is established for talent pipelining purposes. GM China Design Studio is building a long-term pipeline of creative talent in Design Visualization, Immersive Experiences, and UX/UI Design, primarily at Designer to Lead Designer levels, in support of current and anticipated business needs.
We welcome exceptional designers from around the world who are interested in contributing to production programs and advanced design exploration in our China studio. These are hands-on, individual-contributor opportunities; responsibilities and project ownership will reflect each candidate’s specialization and experience. People-management experience is not required.
This posting covers several related specialisms rather than a single role requiring expertise in every discipline. We welcome specialists in visualization or UX/UI, as well as designers whose work bridges these areas.
When submitting your application, please include:
Please ensure your materials exclude undisclosed, confidential, proprietary, or otherwise sensitive information, projects, or materials belonging to employers or clients. Share only work you are authorized to disclose.
Our recruiting and design teams will review your materials. If your profile aligns with a current or future opportunity, a recruiter will contact you to discuss next steps. This is an ongoing talent pipeline, rather than a commitment to an immediate vacancy; contact timing will depend on business needs and relevant opportunities.
If you do not meet every element below, we still encourage you to apply. We value distinctive creative perspectives, strong specialist capabilities, and the potential to grow.
Help bring vehicle design to life through visualization, digital storytelling, immersive experiences, and human-centered UX/UI design. Within our broader design delivery and studio operations environment, you may help teams experience and evaluate design proposals or develop the digital interfaces customers use in and around the vehicle.
Visualization opportunities focus on communicating design intent through imagery, animation, real-time content, and virtual reviews. UX/UI opportunities focus on developing intuitive, safe, and emotionally compelling interactions for in-vehicle interfaces and connected digital experiences, from early concepts through production implementation.
You will collaborate with relevant partners across Interior and Exterior Design, CMF, digital sculpting, UX Research, Studio Engineering, software development, infotainment, advanced driver-assistance systems, product planning, and studio operations. Assignments may involve global studios, North American software teams, and local development partners, connecting global design direction with China customer needs and implementation requirements.
Responsibilities will be selected according to your specialization, experience, and assigned program. You are not expected to perform every activity listed below.
We welcome different career paths and levels of experience. The capabilities below describe potential areas of fit, not a cumulative checklist. Depth in a relevant specialism is valued; expertise in both visualization and UX/UI is not required.
We do not require prior supervisory responsibilities, performance-management experience, or ownership of team staffing and resource allocation for these individual-contributor opportunities.
Connect advanced exploration with production impact in an internationally connected studio. Whether your strength is visual storytelling, immersive technology, interaction design, or digital interface craft, you can help make future vehicle experiences more tangible, understandable, and meaningful.
We welcome exceptional specialists and multidisciplinary 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.
]]>Hybrid: This role is categorized as hybrid. This means the successful candidate is expected to report onsite at the GM Global Technical Center - Estes Engineering Center at least three times per week minimum or other frequency dictated by the business. Working in a lab environment often requires onsite work 5 days per week. *Occasional travel to Milford required.
About the Role:
As we move towards our ZERO ZERO ZERO vision for the future, we are looking to add hardworking individuals to the Software Development & Integration Lab Team! GM is seeking engineers with a complement and collection of skills to join the company to be a part of our amazing transition.
As a Senior System & Subsystem HIL Integration Engineer, you will be responsible for integrating the simulation framework with bench wiring, loads, & instrumentation, along with ECU hardware, software, and calibrations. Additionally, you will observe, report, & facilitate the quick resolution of issues for various vehicle domains such as Electrification, Active Safety, Chassis, and Body Controls. You will work to develop new bench capabilities, improve simulation models, make efficiency & process improvements, and implement automation.
Specific design and build activities that you will be responsible for include:
The Senior Cybersecurity Incident Coordinator serves as a senior member within GM’s cybersecurity incident response team. This role provides end-to-end incident coordination of complex and high-impact security incidents across the GM cooperation.
The Senior Incident Coordinator is responsible for establishing clarity, accountability, and momentum throughout the incident lifecycle. They translate technical findings into business-relevant risk decisions, ensure response activities align with the GM Incident Response Plan, and provide leadership with timely insight into incident status, business impact, containment progress, root cause, and residual risk.
This role operates with a high degree of independence and judgment, particularly during ambiguous, time-sensitive, and cross-functional incidents. The Senior Incident Coordinator is also expected to strengthen incident response maturity through process improvement, operational governance, coaching, and effective use of metrics and reporting.
What You’ll Do
Your Skills & Abilities (Required Qualifications)
#LI-SB3
]]>The role
As Staff Product Manager – In-Vehicle Privacy & Authentication, you will define the product vision, strategy, and roadmap for how customers understand, control, and protect their personal information and identity inside the vehicle.
This role brings together two foundational parts of the in-vehicle experience:
You will create simple, consistent experiences across the vehicle display, mobile app, customer account, Digital Key, OnStar, Google built-in services, and other connected services. You will set long-term direction while also driving complex initiatives from product definition through delivery, launch, and continuous improvement.
What you’ll do
Own the product vision and strategy
Lead the in-vehicle privacy experience
Lead identity, driver recognition, and authentication
Drive execution across a complex product ecosystem
Define success and maintain consistency
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 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
]]>
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
REQUIREMENTS: Bachelor’s degree in Electrical Engineering, Mechanical Engineering, Aerospace Engineering, or related field of study. Two (2) years of experience as an Application Engineer, Sr. Project Development Engineer, CAE Engineer, or related occupation. Two (2) years of experience in the following: Model creation and FEA analysis; Structural engineering, materials, large-scale nonlinear problems; Structural engineering, materials, large-scale nonlinear problems; ABAQUS (Implicit, Explicit, ABAQUS CAE), ANSYS Workbench, ANSA, Hypermesh, iSIGHT, NASTRAN, Optistruct, and GENESIS; UG NX; and Applying FEA tools to battery or propulsion-related systems.
#LI-DNI
]]>Required Qualifications
Preferred Qualifications
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):
#LI-DH2
]]>The position of Quality Engineer supports operations in a Quality capacity, with a strong focus on problem solving, containment, and corrective action. Day to day focus is on working to reduce Quality issues that impact manufacturing with efforts to achieve business results. Work is performed in an Engine component plant environment where a considerable amount of creativity and initiative is exercised, as well as a high level of independent judgment. The ability to work in a dynamic, fast-paced manufacturing environment is critical for success in this role. This job is technical in nature.
WHAT YOU'LL DO:
-Support day-to-day Quality needs of Manufacturing
-Problem-solve (analyze data, determine root causes, develop implementation plans) and resolve issues which are affecting quality, assembly, or throughput
-Collaborate cross-functionally to identify and resolve quality issues
-Develop quality work instructions
-Ensure effective containment for non-conforming product
-Effectively communicate Quality Concerns
-Coordinate repair and rework activities
-Support the implementation and effective adherence to all elements within the Spring Hill Quality System
-Must be available to work any shift (1st, 2nd, or 3rd)
REQUIRED QUALIFICATIONS:
-Bachelor’s Degree or Internal GM Candidate
-Strong analytical and problem-solving skills
-Excellent communication and interpersonal skills
-Knowledge and ability to comfortably use computers and learn new software
PREFERRED QUALIFICATIONS:
-Previous experience as a Manufacturing Quality or Process Engineer
-Engineering Degree
]]>
REQUIREMENTS: Bachelor's degree in Computer Science, Electrical Engineering, or a related field and Two (2) years of experience as a Research Engineer, Software Engineer, or related occupation. Two (2) years of experience with: Developing software with C (and C++ / C#), and Python or Java; Bench settings, with developing entirely new code and maintaining existing code; Communication systems and network protocols including TCP/IP protocol suite, diagnostic protocols, quality of service guarantees, Ethernet, CAN or CAN-FD, or LIN; OS environments including QNX and Linux and sound understanding of operating system concepts; and Developing algorithms and data structures.
#LI-DNI
]]>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 (North Carolina, South Carolina and parts of Virginia and West Virginia) or be willing to relocate to Central North Carolina or a surrounding area approved by leadership within 60 days of the start date.
The Role
The Wholesale Market Area Manager administers Sales and Service Agreements between General Motors (GM), its dealerships, external fleet customers, and Independent Aftermarket (IAM) stores within an assigned territory. This role consults with dealers and IAM stores to develop and implement business plans that support sales and service objectives. The manager uses market, sales, customer feedback, and financial information to identify opportunities and address performance gaps. The role also supports marketing initiatives, product launches, customer retention, product displays, inventory management, and training. Through these activities, the manager helps dealers and IAM stores strengthen their operations and increase sales of GM vehicles and parts.
What You’ll Do
Your Skills & Abilities (Required Qualifications)
What Can Give You a Competitive Advantage (Preferred Qualifications)
The Staff 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.
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.
#LI-DH2
]]>Hybrid:
This means the successful candidate is expected to report to the Warren Technical Center, Warren MI three times per week, at minimum, or other frequency dictated by the business. (Tuesday, Wednesday and Thursday are the desired days to be onsite)
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:
Design Release Engineer responsible for leading a cross-functional team consisting of various Product Engineering functions, Manufacturing Engineering, Suppliers, Purchasing, Supplier Quality and others as needed to execute Design, Analysis, Development, Validation and Production Implementation of Internal Combustion Engine Boosting & Exhaust Systems.
What You’ll Do (Responsibilities):
· Lead overall communication, coordination, and consultation with engineering departments and customers which interface with the Boosting or Exhaust System.
· Establish and release designs/components to meet program performance and timing requirements, conform to best practices and implements design changes as required.
· Lead through design failure modes effects analysis (DFMEA).
· Plan and implement complex test and/or development programs.
· Demonstrate that designs meet requirements through analysis, development and validation processes.
· Define hardware and budget requirements for experimental build phases.
· Lead Product Development Team (PDT) meetings.
· Actively participate in Product Management Team (PMT), Center of Expertise (COE) and Engine Program Team meetings
· Support supplier quality assurance process and warranty issue resolution.
· Participate in work groups with interfacing hardware/software teams to support both current and future products.
· Domestic and International Travel - 5-10% of the time
Your Skills & Abilities (Required Qualifications):
· Bachelor of Science degree in Engineering is required. Mechanical preferred, other technical disciplines considered.
· 5+ years of experience in internal-combustion engine, powertrain, hardware testing, turbocharged-engine or Exhaust/EGR development.
· Experience creating or reviewing engineering drawings, GD&T, tolerance stacks, requirements, DFMEA, DVP&R, and design-release documentation.
· Experience managing supplier technical deliverables, APQP, PPAP, engineering changes, and production-launch readiness.
· Ability to collaborate effectively with calibration, controls, emissions, manufacturing, thermal, NVH, validation, and supplier teams.
What Can Give You a Competitive Edge (Preferred Qualifications):
· Master of Science degree in Engineering is preferred. Mechanical preferred, other disciplines considered.
· 8+ years of experience in automotive system hardware engineering (development and/or release).
· Demonstrated experience with turbocharger system design, selection, sizing, matching, and integration.
· Working knowledge of compressor and turbine maps, surge, choke, efficiency, boost response, and exhaust backpressure.
· Experience with wastegate, electronic wastegate, or variable-geometry turbocharger systems and boost-control strategies.
· Knowledge of turbocharger lubrication, cooling, bearing systems, oil coking, thermal protection, and durability requirements.
· Experience with engine dynamometer and vehicle-level testing, data acquisition, calibration collaboration, and root-cause analysis.
· Thorough knowledge of design development and test engineering, manufacturing and assembly operations, engineering processes and procedures.
· Highly developed oral and written communications skills.
· High level of interpersonal skills to work effectively with and motivate others.
· Experience working with engine calibration.
· Experience working with vehicle integration issues.
· Experience working with suppliers.
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 is not eligible for relocation benefits. Any relocation costs would be the responsibility of the selected candidate.
Sponsorship:
GM DOES NOT PROVIDE IMMIGRATION-RELATED SPONSORSHIP FOR THIS ROLE.
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.)
To help facilitate administration of relocation benefits if you are selected, please apply using the permanent address you would move from.
Work Arrangement:
On-Site: This internship is categorized as on-site. The selected intern is expected to report to the office 5 days a week.
Locations:
Milford, Michigan
Warren, Michigan
About the Team:
The AV Systems, Sensing and Integration Team is responsible for developing, integrating, and validating cutting-edge assisted and automated driving capabilities across the entire vehicle lifecycle. Our organization delivers features end-to-end from early requirements and architectural design through full vehicle integration, calibration, validation, and global program launch. We combine deep expertise in sensor hardware, perception, software features, and vehicle systems engineering to ensure safe, reliable, and customer-delighting driving experiences.
What You Will Do:
We are hiring across multiple engineering and technical disciplines that collaborate and work with cross-functional teams. Opportunities available in systems engineering, technology development, system integration, automation and simulation development.
System Engineering
Advanced Systems Integration
Advanced Build
Automation and simulation development
What We’re Looking For:
Required Qualifications:
Preferred Qualifications:
Compensation:
What you’ll get from us (Benefits):
About GM Defense:
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 is seeking a highly motivated, dynamic individual looking for an opportunity that will allow them to showcase their talents and have an impact in a strategic growth area. Our ideal candidate thrives in ambiguity and demonstrates problem-solving leadership with limited oversight!
The Role:
The Warehouse Distribution Associate plays a critical role in supporting production operations at the GM Defense Production Facility by ensuring materials are accurately stored, staged, and delivered to the point of use.
This role is responsible for maintaining inventory flow across DLOCs, kit cells, and ULOCs, supporting build schedules, and helping ensure materials are available to meet production requirements.
The ideal candidate is safety-focused, detail-oriented, and comfortable working in a fast-paced manufacturing environment while partnering closely with production, material flow, and leadership teams to support daily operations.
What You Will Do (Responsibilities):
Your Skills & Abilities (Required Qualifications)
Physical Requirements:
What Can Give You a Competitive Advantage (Preferred Qualifications)
#GMD
]]>Hybrid: This internship is categorized as on-site. The selected intern is expected to report to the office 3 days a week.
Location:
Sunnyvale, CA
The Data Scaling team builds the data, machine learning, and infrastructure foundations that enable Embodied AI models to improve with scale. We work across data collection, curation, mining, labeling, dataset quality, model inputs, distributed training, experiment workflows, and the systems that help researchers and engineers develop, evaluate, and deploy models more efficiently.
Our work supports large-scale autonomous driving models and the broader Embodied AI flywheel. We combine machine learning, data engineering, distributed systems, and software engineering to make high-quality, product-aligned driving data available for perception, planning, trajectory generation, and other autonomy capabilities.
As an Embodied AI Data Scaling Intern, you will work on a well-scoped project that improves the scale, quality, efficiency, or reliability of data and model development for autonomous driving. You will collaborate with researchers and engineers to build data pipelines, analyze large datasets, improve training workflows, or develop infrastructure that increases the number and quality of experiments the team can run.
Potential focus areas include:
Compensation:
This engineer will create and maintain computer-aided engineering (CAE) models for assigned GM Defense Virtual Design, Development and Validation (VDDV) projects, with a primary focus on LS-DYNA model development. The role will support model preparation, execution, post-processing, documentation, and issue resolution for vehicle and component-level analyses.
The engineer will work within established GM modeling processes, coordinate with design, analysis, materials, program, and simulation teams, and apply sound engineering judgment to resolve non-routine modeling issues. The role will also contribute to process improvements and automation that improve model quality, repeatability, and delivery timing.
What You'll Do
The position requires the ability to work independently on standard assignments, seek guidance when issues fall outside established methods, and communicate assumptions, risks, and results clearly.
Your Skills & Abilities (Required Qualifications)
What Will Give You A Competitive Edge (Preferred Qualifications)
The position is subject to export control restrictions and requires the successful candidate to be a U.S. Person (U.S. citizen, U.S. permanent resident, asylee or refugee).
#GMD
]]>Hybrid: This role is categorized as hybrid. This means the successful candidate is expected to report to Austin TX, Sunnyvale 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
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.
For a California-only role , use:
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.
Salary Range: The salary range for this role in California is $180k–$200k+ per year . The actual base salary offered 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.
]]>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.
]]>
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:
General Motors is seeking a motivated Software Engineer to join the Battery Energy Transfer organization. This role develops embedded software for electrified vehicles, with a focus on power-electronics control and energy-transfer functions such as onboard charging, power conversion, charging and discharging, and vehicle-to-everything capabilities.
You will design, implement, integrate, and validate production-quality software that enables safe, reliable, and efficient transfer of energy between the vehicle, battery, and charging infrastructure. The role combines hands-on embedded software development with system-level collaboration across software, controls, systems, validation, calibration, electrical architecture, and hardware teams.
What you’ll do:
Develop and maintain embedded C/C++ software for automotive power-electronics and energy-transfer applications.
Design software for AC/DC charging, DC/DC conversion, voltage and current regulation, power-flow control, state machines, diagnostics, protection, and fault handling.
Translate system and controls requirements into clear, maintainable, and testable software designs and implementation.
Collaborate with software architects, system engineers, SSLEs, hardware and HWIO teams, calibration, validation, and suppliers to resolve technical issues and deliver integrated solutions.
Support software architecture, interface definition, feature decomposition, and requirements traceability from system behavior through implementation and test.
Develop and review software using sound design principles, coding standards, and automotive embedded best practices, including MISRA-aligned development where applicable.
Use CAN and other vehicle communication technologies to support controller interfaces, diagnostics, and feature integration.
Perform unit, integration, hardware-in-the-loop, system, and vehicle-level testing; investigate failures and drive root-cause resolution.
Support automated build, test, and continuous-integration workflows to improve software quality and delivery efficiency.
Use behavior- and test-driven development practices, including clear acceptance criteria and Given/When/Then scenarios where appropriate.
Participate in design reviews, code reviews, technical problem solving, and continuous improvement of development and validation processes.
Contribute to charging and energy-transfer features supporting EV charging infrastructure, charging protocols, and bidirectional energy-transfer use cases.
Your Skills & Abilities (Required Qualifications):
Bachelor’s degree in Software Engineering, Computer Science, Electrical Engineering, Controls Engineering, or a related field.
2+ years of professional experience in automotive embedded software development, power-electronics controls software, or a closely related field.
Demonstrated hands-on experience developing production-oriented software in C or C++.
Understanding of real-time embedded software design, software interfaces, state machines, diagnostics, and hardware/software integration.
Experience translating requirements into software design, implementation, and verification activities.
Experience with software debugging, integration, root-cause analysis, and automated or bench-based testing.
Ability to work effectively across software, systems, controls, hardware, validation, and other cross-functional engineering teams.
Strong written and verbal communication skills, analytical ability, and attention to detail.
What Will Give You a Competitive Edge (Preferred Qualifications):
Master’s degree in a relevant engineering or computer science discipline.
5+ years of professional experience in automotive embedded software development, power-electronics controls software, or a closely related field.
Experience with onboard chargers, OBCM systems, AC/DC converters, DC/DC converters, power-factor correction, voltage/current control, or related power-electronics applications.
Experience with automotive charging, discharging, EVSE interfaces, V2X, V2G, or charging protocols such as DIN/ISO, CCS, NACS, or CHAdeMO.
Knowledge of CAN, LIN, Ethernet, ARXML, UDS, or other automotive communication and diagnostic technologies.
Familiarity with requirements and traceability tools such as DNG or DOORS, and development tools such as Git, Jira, CANoe/CANalyzer, or equivalent platforms.
Experience with software architecture, MBSE concepts, automated testing, CI/CD pipelines, or DevOps practices.
Experience with HIL, SIL, CoSim, bench, dyno, or vehicle-level validation.
Knowledge of functional safety, cybersecurity, ASPICE, MISRA, or other automotive software quality practices.
Experience with BDD or TDD methods and writing behavior-focused, testable requirements.
What will help you succeed:
Strong interest in electrification, power conversion, and automotive embedded software.
Ability to move between detailed code-level problem solving and system-level technical discussions.
Ownership mindset, curiosity, and willingness to resolve issues through collaboration.
Commitment to building safe, maintainable, testable, and reusable software.
Ability to work in an agile environment and manage priorities across multiple stakeholders.
The 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 contributor and emerging leader, this role builds tooling, patterns, and secure-engineering capabilities—and provides technical guidance and workflows—that help secure software and systems engineering scale across GM's product portfolio, spanning embedded vehicle software, mobile experiences, and other key software & services. This is a technically deep, execution-focused role. Influence is earned through technical credibility, collaboration, mentorship, and leading by example rather than through people management.
Liderar la gobernanza, priorización, ejecución y control del portafolio de proyectos e iniciativas estratégicas del área Comercial, asegurando que las prioridades del negocio se traduzcan en planes ejecutables, resultados medibles y beneficios sostenibles.
El PMO Comercial articula a las áreas de Ventas, Marketing, Operaciones Comerciales, Forecast & Distribution, Finanzas, Posventa, GM Financial, Customer Experience y la red de concesionarios, en coordinación con Legal, Compliance, Tecnología, Recursos Humanos y otras áreas relevantes.
Su responsabilidad principal es proporcionar visibilidad ejecutiva, disciplina de ejecución, gestión de riesgos, resolución de bloqueos y seguimiento de beneficios en iniciativas que impacten las ventas, la participación de mercado, la rentabilidad, la experiencia del cliente, la productividad y la transformación del negocio.
Educación:
Experiencia y conocimientos específicos:
Competencias clave:
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 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):
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)
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 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.
]]>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
]]>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
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.
]]> 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.
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.
At GM Defense , we're combining the speed, innovation, and scale of General Motors with a growing portfolio of defense solutions designed to support the U.S. military and allied forces around the world. As we continue to expand, we're looking for talented defense engineers who understand the unique requirements of military platforms, survivability, integration, systems engineering, vehicle development, and mission-critical performance.
We are seeking Engineering professionals with a background in:
Why GM Defense?
Locations:
Positions are available in both Warren and Milford, Michigan
Qualifications Needed:
This is more than a job- It's an opportunity to help build solutions that support those who serve. Join GM Defense and help engineer what's next.
Ready for your next mission? Apply today. If your experience aligns with one of our current opportunities, a member of the GM Defense Talent Acquisition team will personally reach out to discuss your background, career interests, and potential opportunities to join our growing organization. We can’t wait to hear from you!
Interested in learning more about GM Defense? Check out our website https://www.gmdefensellc.com/site/us/en/gm-defense/home.html
Stay connected with GM Defense. Follow us on LinkedIn to get the latest news and receive updates on new career opportunities. Your next mission may be closer than you think. https://www.linkedin.com/company/gmdefense/
#GMD
]]>The Role
General Motors is building the future of intelligent in-cabin experiences, and we are looking for a Principal Software Engineer to serve as a technical leader and authority for our next-generation In-Vehicle AI Assistant platform. Focused on cabin intelligence, voice interaction, and conversational AI, this role bridges the entire edge-to-cloud spectrum—spanning the Android Automotive OS (AAOS) client application layer, cloud AI orchestration pipelines, and backend service integration.
In this high-impact role based out of our Mountain View, CA or Seattle, WA offices, you will shape the multi-year technical vision for our in-cabin assistant platform. You will work extensively across cross-functional boundaries—aligning Cloud AI/ML, In-Cabin UX, Vehicle Platform, Security, and Infrastructure teams to build a cohesive, scalable ecosystem. If you excel at driving technical strategy across complex distributed systems and bringing clarity to large-scale engineering initiatives, this role offers an unmatched opportunity to define the assistant experience for millions of vehicles worldwide.
What You’ll Do
Define and own the end-to-end architecture for GM’s In-Vehicle AI Assistant platform across both the Android client application layer and cloud backend integration services.
Drive cross-functional technical strategy, collaborating with Cloud AI/ML, In-Cabin UX, Product Management, Security, and Data Engineering teams to align system boundaries and interface contracts.
Architect the hybrid edge-cloud orchestration layer, optimizing trade-offs between on-device latency, network bandwidth, cloud compute cost, and offline reliability.
Establish engineering standards and API protocols for high-performance, real-time client-server communication using gRPC and streaming audio/text interfaces.
Evaluate and integrate emerging Artificial Intelligence / Machine Learning (AI/ML) agent frameworks, large language model orchestrators, and tool execution engines into the in-cabin assistant ecosystem.
Unblock critical architectural dependencies across multiple engineering pods, resolving complex trade-offs in system reliability, privacy, and data streaming.
Drive platform-wide testing, evaluation pipelines, and telemetry standards to measure end-to-end voice latency, response accuracy, and system health.
Mentor and grow Staff and Senior engineers across client and backend disciplines, fostering a culture of technical rigor and architectural excellence.
Your Skills & Abilities (Required Qualifications)
Bachelor’s degree in Computer Science, Computer Engineering, or equivalent practical experience.
12+ years of professional software development experience, with a proven track record of designing large-scale distributed systems spanning client applications and cloud microservices.
Broad technical depth across client-side Android architecture (Kotlin/Java) and backend cloud integration (microservices, REST, gRPC, streaming APIs).
Demonstrated history of cross-functional (XFN) technical leadership, driving architectural alignment and consensus across multiple engineering organizations.
Deep expertise in client-server interaction patterns, state synchronization, and low-latency network communication protocols.
Proven ability to define multi-year technical roadmaps and translate high-level product vision into concrete, scalable platform architectures.
What Can Give You a Competitive Advantage (Preferred Qualifications)
Master’s or Ph.D. in Computer Science, Electrical Engineering, or a related field.
Technical domain expertise in conversational AI architectures, voice assistant frameworks, or agentic LLM orchestration layers.
Familiarity with Android Automotive OS (AAOS) applications or in-cabin system constraints.
Background in edge-cloud hybrid computing, including client-side machine learning execution and server-side model streaming.
Exceptional technical communication skills, with a track record of articulating complex architectural trade-offs to senior leadership and non-technical 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 ($238,700 - $365,700). 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.
#LI-SA2
]]>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 $144,700 to $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.
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
This internship exposes qualified candidates to creative careers at General Motors and helps identify talent for direct positions in creative clay sculpting at Design. The individual will gain an understanding of the aesthetic judgments, technology, production methods, program timelines, and materials used in automotive clay sculpting.
The Team:
The intern will collaborate with GM Design, Sculpting, and Engineering teams in an automotive design studio environment.
What You’ll Do:
• Work collaboratively with Design, Sculpting, and Engineering to interpret sketches and develop clay scale models of a future automotive theme using established and emerging clay-sculpting best practices and techniques.
• Present finished models to Design and Sculpting leadership at midterm and final show events.
• Support general sculpting assignments within the studio environment.
Please note, you must submit a portfolio to be considered for this position – see instructions below.
Required Qualifications:
• Pursuit of a bachelor's degree or advanced degree in Industrial Design, Product Design, Transportation Design, Fine Arts, Sculpture, or Ceramics.
• Must be graduating between December 2027 and May 2029.
• Able to work full-time, 40 hours per week during the summer months.
Preferred Qualifications:
• Creative ability demonstrated through a supporting 3D portfolio.
• Basic understanding of design and sculpting principles, including proportion, line, and surface.
• Strong interpersonal skills to work effectively in a collaborative team environment.
• Proactive approach to task completion.
• Follows studio safety guidelines.
• Knowledge of current design trends.
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. The successful candidate is expected to report to Pasadena, CA, or Warren, MI, 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 if you are selected, please apply using the permanent address you would move from.
Start Dates:
Start dates for this internship role are May & June of 2027.
Compensation:
• The salary for this role is $6,100 monthly.
What You’ll Get From Us (Benefits):
• Paid U.S. GM Holidays
• GM Family First Vehicle Discount Program
• Result-based potential for growth within GM
• Intern events to network with company leaders and peers
Portfolio Submission Instructions:
We strongly encourage you to include a link to your online portfolio in the "website" section of your application or directly on your resume. This allows us to easily access larger files and view your work in its intended format.
Please do not submit Dropbox files or Google Docs.
1. Save your portfolio as a PDF document.
2. Name your portfolio LAST NAME, FIRST NAME. Example: Candidate name is John Smith. Portfolio PDF file name is: Smith, John.pdf.
3. Upload it as an attachment; you may have to condense the file.
DISCLAIMER: The works included in your career portfolio must not be subject to any nondisclosure and/or confidentiality agreement. If the works in your career portfolio are owned by your current or former employer, or by any other third party, there must be express written consent from the owner allowing the works to be included in your career portfolio for sharing with General Motors ("GM"). By sharing your career portfolio, you grant to GM the right to quote, paraphrase, reproduce, distribute, or otherwise use all or any portion of the career portfolio for purposes of making a hiring determination. By sharing your career portfolio, you also agree to release and discharge GM, and its licensees, successors, and assigns, from any and all claims, demands, or causes of action that you may have regarding any use of the career portfolio, including (but not limited to) any claims based on the right to privacy, the right to publicity, copyright, libel, defamation, or any other right.
]]>REQUIREMENTS: Bachelor's degree in Mechanical Engineering, Automotive Engineering, Structural Engineering, Aerospace Engineering, or related field of study and Two years of experience as a CAE Specialist Engineer, Software Engineer, Structural Engineer, Automotive Engineer, Mechanical Engineer, or related role. Two years of experience with: Linear Analysis including Nastran and Optistruct; Non-Linear Analysis including LS Dyna; Seat structural analysis; Automotive Physical Test methods; Material Properties as inputs into CAE analysis tools; Design math systems including NX; Airbag Deployment CAE; Crashworthiness; and Head Impact CAE.
#LI-DNI
]]>About the Role
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.
Key Responsibilities
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.
Required Qualifications
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
Preferred Qualifications
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.
#LI-KL2
Compute & Connectivity Hardware (CCH) is part of GM’s Vehicle Software & Electronics Engineering (VSEE) organization within Software & Services Engineering. The team develops the physical hardware foundation for GM’s software-defined vehicles, including compute, connectivity, networking, displays, and other electronic platforms that enable in-vehicle software, infotainment, ADAS, vehicle controls, and connected experiences.
CCH’s work spans architecture, requirements, hardware and electronics design, embedded hardware, systems integration, validation, launch, and in-market performance. Our engineers collaborate across software, systems, controls, cybersecurity, functional safety, vehicle engineering, suppliers, and manufacturing to develop reliable, production-ready hardware for GM’s vehicle portfolio.
The Senior Display Hardware Engineer, Optics will lead the development and maturation of next-generation optical film and light management technologies for automotive LCD and OLED displays. This role focuses on evaluating and optimizing optical stacks, including brightness enhancement films (BEF/DBEF), diffuser and prism films, polarizers, circular polarizers, and other advanced optical materials that improve display brightness, efficiency, contrast, and outdoor readability.
You will establish optical characterization methodologies and validation processes used to benchmark emerging technologies and assess their readiness for future automotive applications, including instrument clusters, center displays, and passenger infotainment systems.
Working closely with optical material suppliers, display manufacturers, and internal engineering teams, you will drive the evaluation, validation, and integration of advanced optical solutions. You will also collaborate with Display Panel Engineers and Materials Engineers to ensure optical technologies meet performance, reliability, and manufacturability requirements before transitioning into production programs.
Evaluate and develop advanced optical film stack architectures for automotive LCD and OLED displays.
Select and optimize films such as DBEF, BEF, diffuser films, prism films, polarizers, and circular polarizers to meet system-level performance targets.
Perform optical simulations and modeling to assess brightness, contrast, viewing angle, color shift, reflectivity, and power efficiency.
Establish and execute optical measurement methodologies to characterize and validate new technologies.
Partner with display panel suppliers to evaluate optical performance under automotive environmental conditions.
Analyze optical performance data and correlate results to film stack design and material selection.
Investigate and resolve display optical issues, including non-uniformity, Mura, glare, reflections, and halo artifacts.
Collaborate with material suppliers to assess new optical films, coatings, and lamination technologies.
Support technology maturation, risk reduction, and transition of validated solutions into production programs.
Bachelor's degree in Optical Engineering, Physics, Display Engineering, Materials Science, or a related field.
5+ years of experience in display optics, optical film stack design, or light management systems.
Strong understanding of LCD and OLED optical architectures and light management technologies.
Experience with brightness enhancement films, polarizers, optical compensation films, and display optical performance metrics.
Proficiency with optical simulation, analysis, and characterization tools.
Experience using optical measurement equipment such as imaging colorimeters and spectroradiometers.
Understanding of automotive display performance and reliability requirements.
Master's degree in a related engineering or science discipline.
Experience working with display panel manufacturers or optical material suppliers.
Knowledge of Mini-LED backlight systems and associated optical stack design.
Experience with optical bonding and cover glass integration.
Experience qualifying optical materials for environmental, thermal, UV, and mechanical durability 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- 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
]]> 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:
Work Arrangement:
This role is categorized as Remote/ hybrid . Remote: This role is based remotely but if you live within a 50-mile radius of [Austin, Detroit, Warren, Milford, Sunnyvale, CA ], you are expected to report to that location three times per week, at minimum.
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 organization builds the platforms, frameworks, and engineering systems that enable the development, testing, and validation of GM’s autonomous driving technology. We partner across Autonomy, Simulation, Systems and Test Engineering, Embodied AI, and Release organizations to turn large-scale road and simulation data into actionable insights and confident engineering decisions. The Evaluation Frameworks team develops and operates the analytical frameworks that transform autonomous vehicle data into trustworthy metrics. Our tools support simulation analysis, road-event monitoring, data mining, model and feature evaluation, and release de-risking across the AV development lifecycle. The team owns shared capabilities including metrics authoring APIs, simulation-analysis orchestration, data augmentation and miner frameworks, road and simulation execution pipelines, and health monitoring for the resulting data products. We are focused on making metrics development faster, more reliable, and more accessible to engineering and evaluation teams.
We are looking for a Manager to lead the Metrics Frameworks team. This role combines people leadership, technical strategy, and execution ownership. You will set the team’s direction, build a high-performing engineering organization, and guide the design and operation of platforms that are critical to AV evaluation and development. The ideal candidate is an experienced engineering leader who can move comfortably between long-term technical strategy and day-to-day execution. You will work closely with customers and partner teams to understand evolving evaluation needs, make clear tradeoffs, and deliver durable framework capabilities that improve engineering velocity and confidence in AV performance data.
What You’ll Do
Lead, coach, and grow a high-performing team of software and data engineers through hiring, onboarding, career development, feedback, and performance management.
Define and communicate the team’s technical vision, roadmap, priorities, and operating plan in partnership with Evaluation and broader AV leadership.
Own delivery of scalable frameworks for creating, executing, and monitoring metrics across simulated and real-world driving data.
Ensure the team’s platforms are reliable, observable, performant, maintainable, and easy for internal customers to use.
Establish meaningful service-level objectives, health metrics, dashboards, and operational practices for critical data and analysis pipelines.
Balance feature delivery, platform modernization, technical debt, operational support, and long-term architecture investments.
Partner with both internal and external stakeholders to translate ambiguous needs into clear technical plans and measurable outcomes.
Raise the engineering bar through strong architecture, design reviews, testing, code review, documentation, security, and operational excellence.
Develop mechanisms that help teams distinguish framework ownership from metric-specific business logic, enabling effective collaboration and clear accountability.
Participate in and improve the team’s production-support and incident-response practices for critical metrics and data pipelines.
Your Skills & Abilities (Required Qualifications)
Bachelor’s degree in Computer Science, Engineering, Data Science, or a related technical field, or equivalent practical experience.
8+ years of experience building software, data platforms, analytics infrastructure, or evaluation systems in a production environment.
3+ years of experience directly managing and developing engineers or other technical professionals.
Experience setting technical direction and delivering a roadmap for a platform, framework, or infrastructure product used by multiple teams.
Experience building or operating scalable data-processing pipelines, workflow systems, developer tooling, or distributed services.
Strong understanding of software engineering fundamentals, including system design, testing, code review, observability, and performance tradeoffs.
Experience using data and operational metrics to improve reliability, prioritization, and execution.
Ability to translate complex technical problems and ambiguous customer needs into clear priorities and decisions.
Strong written and verbal communication skills, with the ability to influence across organizational boundaries.
What Will Give You a Competitive Edge (Preferred Qualifications)
Experience in autonomous vehicles, robotics, simulation, advanced driver-assistance systems, or another safety-critical and data-intensive domain.
Experience evaluating complex systems using statistical, numerical, machine learning, or time-series methods.
Experience with metrics platforms, data quality systems, experiment analysis, telemetry, or performance monitoring.
Proficiency with Python, C++, and SQL in production engineering environments.
Experience with large-scale analytical data stores such as BigQuery, Databricks, or similar technologies.
Experience with workflow orchestration, batch processing, cloud infrastructure, and data-pipeline operations.
Familiarity with simulation, sensor data, road testing, or evaluation of perception, prediction, planning, or control systems.
Experience leading platform migrations, reducing technical debt, or consolidating fragmented frameworks.
Demonstrated ability to build trust with technical and non-technical partners and create clarity in a rapidly changing 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 the California Bay Area.
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.
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-SA2
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
Your Skills & Abilities (Required Qualifications)
What Will Give You a Competitive Edge (Preferred Qualifications)
The ADAS Sensors and Sensing Systems team is looking for an ADAS Sensor Execution Lead to drive end-to-end planning, coordination, and delivery across sensor engineering, program management, product management, and vehicle program teams. This role is designed for a strong technical leader who can translate strategy into executable plans, create alignment across partner teams, and ensure functional ADAS sensor products are delivered with quality and on time.
As our portfolio expands across current production programs and future launches, this position will serve as the operational bridge across stakeholders, helping the organization move from reactive execution to structured, proactive delivery.
General Motors is seeking a software engineering leader to modernize and scale the build systems that support software-defined vehicles. This role will help lead the transition from a legacy Make-based system to Bazel, Google’s open-source build tool, improving speed, reliability, and robustness across the engineering organization.The successful candidate will drive this capability at scale, influence technical direction across teams, and help establish lofty platform capability goals.
What You'll Do:
Your Skills & Abilities (Required Qualifications):
Key Deliverables:
Measures of Success:
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, 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.
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
The range for this role is 171,150 and 288,500. 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.
]]> 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:
General Motors is seeking a technically strong and highly motivated Design Release Engineer (DRE) to lead the development and launch of external microphone hardware and associated components for next-generation Super Cruise functionality. This role will own the definition, development, validation, and production release of vehicle-mounted microphone systems that support advanced vehicle awareness, roadway and environmental sensing, and future driver-assistance capabilities.
The successful candidate will bring strong ownership, sound engineering judgment, and the ability to lead complex hardware development across cross-functional organizations and global suppliers. The DRE will work at the intersection of acoustics, electrical and mechanical hardware, vehicle integration, signal interfaces, environmental durability, and system-level performance. This role requires an engineer who can work independently, resolve technical issues with urgency, and translate system objectives into robust, production-ready component designs.
Key Responsibilities
Required Qualifications
Desired Skills and Experience
Key Behaviors
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 [or other frequency dictated by the business]
The Role:
We are seeking creative, highly motivated engineer with passion and expertise in software engineering for the position of Android Software Developer – Infotainment OnStar within GM’s Digital Vehicle Experience 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 GM’s Infotainment software solutions for functionality deployed across our vehicle portfolio and vehicle ecosystem. Your contribution will enable customers to experience best-in-class fully connected in-vehicle applications.
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:
Required Qualification
Other Skills Preferred
Education and Training
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, your family, and friends.
As a Vehicle Energy Model and Toolchain Development Engineer, you will contribute to the development and enhancement of simulation tools and processes that predict vehicle energy usage, performance, and efficiency. Your work will support virtual engineering efforts across propulsion systems, including electric and internal combustion engines, with a focus on improving simulation fidelity and usability.
What You'll Do
Improve Energy and Performance tool capability, fidelity, correlation, and data analysis techniques
Identify opportunities for tool and model improvement - focus on growth areas such as Co-Simulation, Machine Learning, User Experience, Variation Analysis, Modular Systems & Fidelity Levels.
Train the users of Energy tools and provide support as needed
Collaborate cross-functionally with other focus areas such as Thermal Analysis, Vehicle Dynamics, Vehicle Controls, Electrification Analysis, etc.
Your Skills & Abilities (Required Qualifications)
Bachelor's Degree in Engineering
5+ years of relevant experience
Experience with vehicle simulation tools and software, or ability to rapidly learn and develop capability
Experience with Simulation and Analysis Tools such as MATLAB/ Simulink/ SimScape, GT-Suite, AMESim, GMSim, CarSim, AVL and/or vehicle controls and calibration.
Knowledge of Vehicle, Powertrain, and Controls Integration
Interest in developing tools and processes to drive increased organizational effectiveness
Demonstrated ability to dissect and leverage analysis and test data
Solid understanding of engineering theory and principles of mechanical/electrical/thermal systems
Desire to over-achieve goals and objectives and effectively represent the tool or vehicle customer
What Will Give You A Competitive Edge (Preferred Qualifications)
7+ years of relevant experience
Specialized advanced degree in vehicle energy systems
Passion for tool development and vehicle Efficiency, Fuel Economy, EV Range and Performance
Knowledge and/or experience in Big Data, Machine Learning or Artificial Intelligence
Experience with GM Vehicle and Powertrain Development Process, Advanced through Execution
DFSS Black Belt Certification
Global Manufacturing Robotics & Automation 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 Robotics & Automation helps GM build high-quality vehicles to our customers by combining robotics, automation, controls, manufacturing software, advanced manufacturing, product development, simulation, plant deployment, and program management to improve manufacturing safety, quality, cost, delivery, flexibility, and competitiveness. Our team works to solve plant-critical challenges and develop scalable solutions. 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 Robotics & Automation organization, you will focus on delivering innovative manufacturing solutions that help support our plants. You will:
Examples of past intern projects include:
Required 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 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 75% domestic travel.
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 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.
]]>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
]]>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 serves as a central body for automated driving system (ADS) safety assurance, bringing together technical expertise from across the company to support the safe development, testing, launch, and continuous improvement of advanced driving capabilities.
GM is seeking an Autonomous Vehicle Safety Case Technical Program Manager to lead the integrated execution of complex, cross-functional safety cases for ADS. This senior/staff individual contributor will bring structure, momentum, and transparency to the workstreams that support GM’s ADS safety case and safety assurance strategy.
The role will coordinate technical and operational work across safety case management, safety and risk management systems, operational safety and human factors, aggregate safety and rules-of-the-road metrics, counterfactual simulation, and related system-safety interfaces. The successful candidate will connect strategy to execution: translating safety objectives into actionable plans, aligning claims and sufficiency criteria with evidence and assessments, managing dependencies and risks, and driving decisions to closure across engineering, validation, operations, legal, public policy, and product teams.
This role is ideal for an experienced program leader who is comfortable operating in a technically complex, safety-critical environment; can synthesize diverse inputs into a coherent execution plan; and is motivated by the challenge of enabling the safe, measurable, and scalable deployment of ADS technology.
What You’ll Do
Integrated Program Leadership
Safety Case and Assurance Execution
Continuous Improvement
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 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.
#LI-RF1
]]>The Supplier Quality Engineer (SQE), Interior Trim serves as the technical liaison between GM Purchasing, Product Engineering, Manufacturing, and our supply base. In this role, you will work directly with suppliers to resolve manufacturing and quality issues, implement and monitor advanced quality planning systems, and provide technical support throughout the lifecycle of assigned commodities and components.
This position is technical in nature and requires independent decision-making within the limits of general practices and standards. Mentorship and guidance are available from leadership for complex or unusual situations.
What You’ll Do
Execute the APQP process with assigned suppliers to meet or exceed program deliverables.
Conduct program reviews aligned with program milestones and escalate issues appropriately.
Ensure suppliers adhere to GM quality and manufacturing standards and identify out-of-standard conditions before parts move to the next stage or manufacturing site.
React to out-of-standard conditions and work cross-functionally to resolve known issues in a timely manner.
Assure supplier understanding and compliance with APQP processes and product PPAP submission and approval requirements.
Review and approve supplier quality plans (Control Plans, PFMEAs) for new components and assemblies for vehicle launch.
Review supplier manufacturing processes and quality systems for alignment to GM requirements.
Facilitate root cause analysis and corrective actions of supplier quality issues.
Perform on-site supplier visits for root cause analysis and verification of corrective actions.
Implement and monitor supplier part qualification and certification processes (PPAP, Run-at-Rate).
Improve supplier quality performance through workshops, on-site audits, and technical training.
Provide technical assistance during supplier launches, changeovers, and ongoing production activities.
Your Skills & Abilities (Required Qualifications)
Bachelor’s degree (Preferred in Engineering or an equivalent technical field)
2 years of automotive experience in quality, engineering, manufacturing or related
Experience with injection molding, painting, forming, or waterjet cutting processes
Proficient in print reading and interpretation, part measurement, gage design, or function.
Strong knowledge of Geometric Dimensioning orTolerancing (GD&T).
Familiarity with manufacturing and assembly processes, procedures, tooling, equipment, or facilities.
Understanding of statistical quality control, probability, or design of experiments.
Proven ability to investigate quality issues and apply sound technical judgment to develop effective solutions.
Ability to manage multiple projects and lead diverse cross-functional teams simultaneously.
Excellent interpersonal, oral, written, and presentation skills.
Willing to travel up to 50% Domestically + Internationally including Overnight
What Will Give You a Competitive Edge (Preferred Qualifications)
Master’s degree in Engineering or Business.
Technical and/or quality certifications (e.g., Six Sigma, DFSS, Red X) are a plus.
Experience with interior components
Experience with OEM or Tier-1 automotive experience in quality, manufacturing, or engineering functions
Demonstrated experience in one or more of the following areas:
Statistical problem-solving (Red X, DFSS, DMAIC).
Product engineering and validation.
Lean manufacturing or manufacturing quality systems.
Quality systems planning (APQP, PPAP)
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)
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
As a valued Physical Metallurgist in the Mechanics, Materials and Process Research Lab at General Motors Research and Development, you will innovate in steel metallurgy for next-generation vehicle and manufacturing applications. You will propose new research directions, establish technical research plans, and lead collaborative studies spanning alloy design, thermo-mechanical processing, heat treatment, microstructure development, characterization, and performance validation.
You will generate new insights into the relationships among steel composition, processing history, phase transformations, microstructure, mechanical properties, durability, joining behavior, formability, and manufacturability. Your work will guide experimental efforts, accelerate materials down-selection, and help translate metallurgical research into practical solutions for vehicle structures, closures, chassis systems, safety components, and manufacturing processes. You will document and communicate results through high-quality technical reports, external publications, presentations, and records of invention.
What You’ll Do:
Required Qualifications:
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., H1-B, OPT, STEM OPT, CPT, TN, J-1, etc).
The position is subject to export control restrictions and requires the successful candidate to be a U.S. Person (U.S. citizen, U.S. permanent resident, asylee or refugee).
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 minimum [or other frequency dictated by the business].
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.
]]>We are seeking a highly motivated graduate or advanced undergraduate engineering student to support research and development activities focused on advanced ultrasonic nondestructive evaluation (NDE) technologies for next-generation manufacturing inspection systems. The intern will contribute to the development of next-generation in-line inspection technologies for manufacturing quality assurance and process monitoring through advanced sensing, modeling, and automation approaches.
This position offers an opportunity to work on cutting-edge inspection technologies which may include wave propagation modeling, nonlinear acoustics, guided wave techniques, robotic inspection systems, and advanced data analytics. The successful candidate will collaborate with multidisciplinary teams spanning materials engineering, manufacturing, robotics, sensing technologies, and computational modeling.
The intern will gain hands-on experience in:
· Advanced NDE technologies in a manufacturing environment
· Wave propagation modeling and simulation
· Development and validation of manufacturing inspection technologies
· Robotic inspection and sensor integration
· Research execution, technical reporting, and cross-functional collaboration.
· Application of advanced sensing and automation technologies to manufacturing quality challenges
What You’ll Do:
· Develop and validate models of wave propagation in engineering materials and manufacturing processes.
· Support research involving advanced ultrasonic inspection methods, including:
o Advanced ultrasonic techniques, e.g., nonlinear acoustics, guided wave testing, etc.
o Advanced manufacturing inspection methodologies
· Design and conduct laboratory experiments for nondestructive testing and evaluation
· Analyze nondestructive measurement data and correlate results with manufacturing process conditions, material quality, and defect characteristics.
· Assist in the development of in-line and automated inspection technologies for manufacturing environments
· Support the integration of sensing technologies with inspection platforms
· Participate in data analysis, visualization, and algorithm development for defect detection, characterization, and manufacturing process monitoring
· Document research findings through technical reports, presentations, and experimental procedures
· Collaborate with researchers, engineers, and technical specialists on advanced manufacturing and inspection technology projects.
Required Qualifications:
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., H1-B, OPT, STEM OPT, CPT, TN, J-1, etc).
The position is subject to export control restrictions and requires the successful candidate to be a U.S. Person (U.S. citizen, U.S. permanent resident, asylee or refugee).
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 minimum [or other frequency dictated by the business].
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 GM Energy and Propulsion Systems Research Lab identifies, invents, develops, and implements propulsion and vehicle-efficiency research and technology to deliver disruptive value to General Motors and our customers. The lab’s work spans electric drives and power electronics, hybrid and electric propulsion, battery and thermal architectures, multidisciplinary optimization and integration, controls and optimization, vehicle health management, and virtual design and high-fidelity measurements.
We are seeking a highly motivated and technically skilled Power Electronics and Energy Conversion Systems Researcher to join our advanced R&D team. This role will focus on propulsion and non-propulsion electrical power conversion, with particular emphasis on inverter and power-converter technologies for export-power, uninterruptible-AC-power, microgrid, energy-storage, and other non-automotive applications, while also supporting future electrified vehicle and defense-related needs.
The successful candidate will apply advanced knowledge of power electronics, energy conversion, controls, and system modeling to identify, develop, prototype, and demonstrate technologies that improve efficiency, cost, performance, packaging, reliability, and strategic flexibility for GM.
What You’ll Do:
As a Power Electronics and Energy Conversion Systems Researcher, you will:
Required Qualifications:
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., H1-B, OPT, STEM OPT, CPT, TN, J-1, etc).
The position is subject to export control restrictions and requires the successful candidate to be a U.S. Person (U.S. citizen, U.S. permanent resident, asylee or refugee).
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 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.
]]>GM R&D is seeking a System Safety Researcher to work on research, assessment, and methodological advancement in system safety and safety assurance. You will perform safety analyses, develop and improve safety cases, define claims and sufficiency criteria with domain experts, integrate evidence across disciplines, and ensure alignment with product evolution, regulatory expectations, and industry best practices. The role works across engineering, research, AI/ML, systems engineering, functional safety, cybersecurity, validation, product safety, legal, regulatory, and leadership teams to strengthen traceability, evidence quality, and safety decisions.
Conduct research and work on the development, assessment, and continuous improvement of system safety analyses for complex products and safety-critical systems. As part of the system safety case development, evaluate safety arguments, evidence strategies, and sufficiency criteria to support safe technology development and align with regulatory expectations, industry best practices, and enterprise safety objectives.
Join General Motors Research & Development as a System Safety Researcher. You will contribute research and thought leadership in system safety, safety assurance, and evidence-based decision-making across current and emerging technology areas.
What You’ll Do:
Required Qualifications:
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., H1-B, OPT, STEM OPT, CPT, TN, J-1, etc).
The position is subject to export control restrictions and requires the successful candidate to be a U.S. Person (U.S. citizen, U.S. permanent resident, asylee or refugee).
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 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.
]]>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:
Onsite - This role is categorized as onsite. This means the successful candidate is expected to report to Arlington, TX on a full-time basis.
Relocation:
This job may be eligible for relocation benefits.
The Role:
Executes deliverables in support of the supply chain organization's business objectives. Guides of one of the key areas within the Global Supply Chain (local third parties) 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.
What You'll Do: (Responsibilities):
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 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:
Onsite - This role is categorized as onsite. This means the successful candidate is expected to report to Arlington, TX on a full-time basis.
Relocation:
This job may be eligible for relocation benefits.
]]>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
The Role
The District Manager, Parts and Service (DMPS) is a strategic field leadership role responsible for driving aftersales performance across a defined region. This position partners closely with dealership leadership to execute GM’s Customer Care & Aftersales initiatives, improve customer satisfaction, and grow revenue. The DMPS leverages data-driven insights, operational expertise, and consultative influence to deliver measurable results in a dynamic and evolving automotive landscape. The DMPS reports directly to the Zone Manager, Parts and Service and plays a key role in executing strategy with dealership operations.
What You'll Do
• Demonstrate extreme ownership of district performance across Revenue, Customer Retention, and Customer Experience.
• Act as a trusted advisor to dealer leadership, fostering strong partnerships and strategic alignment.
• Drive revenue growth and achieve Key Performance Indicators (KPIs) through effective execution of all Customer Care & Aftersales (CCA) programs and initiatives.
• Lead standardized dealer contact processes, focusing on dealer-specific priorities and GM performance objectives.
• Analyze dealership marketing and merchandising strategies, offering actionable recommendations to increase service lane traffic.
• Develop and execute annual Business Plans, leveraging data-driven strategic insights to address market challenges and operational headwinds.
• Apply analytical thinking to assess dealership performance, identify trends, and implement targeted solutions and processes that improve operational efficiency and customer satisfaction.
• Operate with a high degree of autonomy, managing priorities and making decisions that drive business outcomes.
• Maintain a results-driven approach, consistently striving to exceed performance targets and deliver measurable improvements.
• Resolve aftersales customer concerns, including but not limited to: Service Parts Assistance Center (SPAC), Customer Assistance Center (CAC), Technical Assistance Center (TAC), Goodwill, Warranty, and Policy Requests.
• Monitor and achieve key performance indicators (KPIs), including: Sales Reporting Tool (SRT) objectives, Net Promoter Score (NPS), Customer Retention, Service Training Standards (STS) compliance, EV Training & Compliance.
• Demonstrate deep understanding of Service & Parts Operations, including: Automotive Parts and Service Systems, Dealer Operating Reports & Fixed Ops Analysis Tools, Profit department structures and interdependencies, Consultative selling techniques.
Your Skills & Abilities (Required Qualifications)
• Bachelor’s Degree or equivalent professional experience.
• 3+ years of experience in Sales, Service, or Operations with a proven track record of driving revenue growth.
• Strong automotive industry knowledge and business acumen, including service operations, warranty processes, and customer experience management highly preferred.
• Ability to travel up to 50% to different locations within your territory.
• Proficiency in Microsoft Excel, including data analysis, reporting, and visualization tools.
What Can Give You a Competitive Advantage (Preferred Qualifications)
• Excellent oral and written communication skills, with the ability to inform and persuade effectively.
• Leverage data analytics tools to extract actionable insights that drive revenue growth, optimize operational performance, and elevate the customer experience.
• The ability to manage multiple tasks, adapt and thrive in a changing environment where there is a degree of ambiguity.
• Builds and maintains strong internal and external relationships.
• Drives results and leads change with confidence and clarity.
• Communicates persuasively and informatively across all levels.
• Applies analytical thinking to solve complex problems and make data-informed decisions.
• Demonstrates strategic business planning capabilities to align dealership goals with broader organizational objectives.
• Maintains a results-driven mindset, consistently pursuing excellence and accountability.
• Demonstrates strong problem-solving skills by identifying root causes, developing actionable solutions, and implementing improvements that enhance dealership performance and customer satisfaction.
• Takes initiative and thrives in dynamic environments.
• Maintains a strong customer focus and resolves conflicts effectively.
]]>The CCA Maintenance Team is new and evolving, offering a unique opportunity to help shape the future of plant automation. As automation expands across the site, this role provides hands-on experience with new technologies while supporting legacy systems. It also offers strong professional growth opportunities as future roles and responsibilities continue to develop.
As a Controls Engineer , you will lead controls-focused projects, provide critical programmable logic controller (PLC) troubleshooting, and drive plantwide improvements. You will work closely with skilled trades and cross-functional teams to reduce downtime, improve system performance, and ensure reliable operation of manufacturing equipment such as conveyors and automated storage systems. This is a highly visible role with direct impact on plant performance and efficiency.
What You’ll Do
Lead controls-related projects including equipment installation, upgrades, and improvements
Troubleshoot and program programmable logic controllers to support plant operations
Support downtime events by identifying root causes and restoring systems quickly
Partner with skilled trades to resolve equipment and automation issues
Improve performance of conveyors, automated storage systems, and legacy equipment
Develop project plans, cost estimates, and timelines
Track and report project progress and results
Identify and implement opportunities to improve system reliability and reduce waste
Support preventative maintenance and system optimization efforts
Build and improve production monitoring and alert systems for legacy equipment
Participate in plant meetings and provide technical input to improve performance
Train and guide technical team members on controls systems and troubleshooting
Maintain documentation for systems, changes, and projects
Follow and promote safe work practices at all times
Provide off-shift and weekend support as needed
Your Skills & Abilities (Required Qualifications)
Bachelor’s degree in Engineering or 4+ years of equivalent experience
2+ years of experience in controls, automation, or manufacturing
Availability to work on-site five days per week, including weekends (minimum two Saturdays per month) and occasional Sundays/holidays as required.
Experience programming and troubleshooting Allen-Bradley programmable logic controllers
Strong analytical and problem-solving skills
Strong written and verbal communication skills
Ability to work effectively with cross-functional teams
Willingness to provide off-shift and weekend support
Ability to work onsite in a manufacturing environment
Basic computer, documentation, and technical writing skills
What Can Give You a Competitive Advantage (Preferred Qualifications)
Experience with supervisory control and data acquisition (SCADA) systems such as Ignition
Knowledge of industrial networking and communication protocols
Experience with machine safety systems and standards
Demonstrated ability to solve complex technical problems
Strong collaboration and teamwork skills
Ability to influence and drive change in a fast-paced environment
Initiative to identify and implement improvements
Strong accountability and follow-through
Clear and effective communication skills
Ability to train and support others in technical topics
Continuous improvement mindset with a focus on results
REQUIREMENTS: Bachelor's degree in Engineering, Computer Science, Information Technology, Automotive Systems Engineering, Mechanical Engineering, or related field of study and Two (2) years of experience in a related occupation. One year of experience with: FMEA’s, and laboratory operations; Fixture design, and test equipment and setups; Automotive hardware analysis, development, and validation; Design for Reliability principles including DFMEA and DRBTR; Laboratory Operations and methods; and Virtual/Analysis/CAE results.
#LI-DNI
]]>General Motors is seeking a Power Electronics EMC Technical Specialist to lead electromagnetic compatibility engineering for Power Electronics & Traction Inverter hardware. The successful candidate will apply advanced knowledge of electromagnetic interference, electromagnetic susceptibility, signal and power integrity, high-voltage power electronics, and vehicle-level electrical integration to guide robust designs from concept through production.
This is a hands-on technical leadership role. The specialist will influence architecture and design decisions, develop practical mitigation strategies, lead root-cause investigations, and partner with internal engineering teams, suppliers, test organizations, and program leadership. The role is hybrid and based at the GM Global Technical Center — Estes Engineering Center.
What You’ll Do
Required Qualifications
Preferred Qualifications
Candidate Success Profile
The strongest candidate will combine deep EMC fundamentals with practical power-electronics hardware experience. They will be able to move fluidly between simulation, laboratory measurements, design reviews, supplier discussions, and executive-level risk communication. Success in the first year will include establishing a repeatable Power Electronics & Traction Inverter EMC design and troubleshooting approach, reducing late-cycle EMC surprises, and providing clear technical direction for GM's High Voltage Power Electronics & Traction Inverter programs.
]]>Energy Conversion Systems (ECS) at General Motors is a fast-paced team that is working on developing and executing propulsion technology. This role is within the Energy Conversion Management Hardware Organization, specifically in the Traction Inverter Power Module & Low Voltage Hardware team.
We are seeking a technical lead to join our team as “The Lead Traction Inverter Power Electronics Engineer”. This role provides end-to-end technical ownership for traction inverter gate drive circuitry, PCB design, hardware architecture, supplier execution, validation, production launch, and field-performance improvement.
The engineer will lead complex, high-visibility work across Product Engineering, Systems Engineering, Controls and Software, EMC, Reliability, Manufacturing, Quality, Purchasing, Program Management, and external suppliers. The role requires deep power-electronics expertise, strong technical influence, disciplined issue resolution, and the ability to develop scalable engineering standards that support GM’s electrification strategy.
Serve as the subject-matter expert for traction inverter power electronics, gate drive circuitry, high-voltage PCB design, hardware integration, and power-electronics packaging.
Lead inverter hardware architecture, requirements translation, schematic development, component selection, circuit simulation, layout supervision, design reviews, DFMEA, and production-intent design release.
Define and maintain PCB architecture, stack-up, grounding, isolation, protection, sensing, thermal, EMC, and high-voltage design strategies for robust traction inverter applications.
Apply advanced knowledge of IGBT, SiC, and GaN switching technologies, gate-drive requirements, parasitic effects, thermal behavior, EMC implications, and inverter fault mitigation.
Own or direct gate drive circuit and PCB verification and validation plans, including electrical, thermal, EMC, vibration, environmental, reliability, high-voltage, double-pulse, and production-test activities.
Lead structured problem solving, root-cause analysis, GM 5-Phase investigations, PRTS actions, corrective-action verification, and field or launch issue resolution.
Drive program execution from advanced development and sourcing through design release, prototype builds, validation, launch readiness, production maturity, and field-performance improvement.
Provide supplier and manufacturing technical leadership, including statements of work, quotation reviews, technical negotiations, design reviews, process capability, change control, traceability, containment, and corrective action.
Develop common design standards, reusable architectures, checklists, templates, lessons learned, production test limits, and technical documentation for inverter programs.
Mentor engineers and technical specialists, lead cross-functional workgroups, communicate complex technical issues to senior stakeholders, and influence technical decisions across organizations.
Bachelor’s degree in electrical engineering, Electronics Engineering, Power Electronics, or a related engineering discipline; equivalent technical education and demonstrated experience may be considered in accordance with GM policy.
More than 8 years of professional experience in power electronics, gate drive circuit and PCB design, automotive electronics, or a closely related field.
Advanced knowledge of automotive traction inverter hardware, high-voltage and high-current gate-drive design, power-switching behavior, sensing, protection circuits, isolation, grounding, filtering, and control interfaces.
Strong experience with IGBT, SiC, and GaN power-switch technologies, including switching characteristics, gate-drive requirements, parasitic sensitivity, thermal behavior, EMC implications, and inverter protection strategies.
Strong understanding of PCB materials, stack-ups, copper distribution, thermal management, solder technologies, via structures, surface finishes, reliability mechanisms, and high-voltage safety practices.
Working knowledge of EMC/EMI design, emissions and immunity, functional safety concepts, reliability engineering, DFMEA, PFMEA, design verification, change management, supplier quality, manufacturing processes, end-of-line testing, and production launch.
Demonstrated ability to deliver complex hardware products from concept through validation and production while leading cross-functional teams, suppliers, issue-resolution activities, and engineering documentation.
Strong technical leadership, systems thinking, independent judgment, structured problem solving, data analysis, communication, collaboration, influence, negotiation, and conflict-resolution skills.
Ability to manage multiple high-priority workstreams with autonomy, coach engineers, and create clear technical requirements, design rules, review materials, validation plans, and executive-level recommendations.
Master’s degree in Electrical Engineering, Power Electronics, or a related field.
10+ years of relevant experience in Traction Inverter Gate Drive Circuitry Design and Execution.
Experience with traction inverters, electric drive units, onboard chargers, DC/DC converters, batteries, or comparable automotive power-electronics systems.
Experience with SiC or silicon power modules, high-frequency switching, advanced gate drivers, isolated communications, high-voltage sensing, and gate drive power supplies.
Experience using Siemens Xpedition or similar tools for gate drive circuit and traction inverter PCB design.
Experience with automotive EMC standards, inverter dynamometer testing, environmental validation, double-pulse testing, high-voltage bench testing, production-test-limit development, and failure analysis.
Experience working with global suppliers, electronics manufacturing partners, cost-reduction initiatives, design standardization, platform reuse, and design-to-value activities.
Experience using Python, MATLAB/Simulink, or similar tools for engineering analysis, test automation, data reduction, or failure investigation.
This job may be eligible for relocation benefits.
The Role:
The Senior Industrial Engineer position will develop, recommend, and implement changes which will result in the improvement of manufacturing processes and or product quality. The ability to work in a dynamic manufacturing environment is critical to your success General Motors.
Onsite: This role is categorized as onsite. This means the successful candidate is expected to report to Orion, MI on a full-time basis.
What you’ll do:
Required Qualifications:
Preferred Qualifications:
Esta posição será responsável por suportar o relacionamento com fornecedores logísticos, prestadores de serviço e clientes internos, garantindo o fluxo eficiente de embalagens entre fornecedores e as operações da GM.
A função apoia atividades-chave de Logística e Embalagens para assegurar que os objetivos do negócio sejam atingidos ou superados em satisfação do cliente, qualidade, serviço, responsividade, performance operacional e resultados financeiros.
Com impacto direto no abastecimento das plantas, esta posição também atuará como elo entre fornecedores, transporte e áreas internas, apoiando a análise de desvios, o restabelecimento do fluxo e a busca contínua por eficiência e redução de custos na logística reversa.
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]]>The territory covers Irvine, Costa Mesa, CA and surrounding area. The selected candidate must live in territory or relocate to Irvine, Costa Mesa (30 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 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.
Retail Support
Wholesale Support
Your Skills & Abilities (Required Qualifications)
What Will Give You A Competitive Edge (Preferred Qualifications)
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 ($82,500-$126,600). 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.
General Motors is seeking a highly skilled and experienced professional to join our team as a Senior Software Engineer, Linux Kernel & Driver Development . As a global leader in the automotive industry, General Motors is committed to delivering high-quality vehicles that exceed customer expectations. This role will be instrumental in the bring-up of next-generation automotive computing platforms, focusing on Linux kernel development, device drivers, low-level system integration, diagnostics, and health monitoring for our in-vehicle infotainment and embedded systems.
What You’ll Do
· Develop and enhance Linux kernel and device drivers, including those for camera sensors, display interfaces, multimedia subsystems, and networking (WLAN, LAN, BLE, BT5.0).
· Lead system bring-up activities, including bootloader configuration, camera pipeline initialization, board support package (BSP) development, and low-level debugging.
· Integrate and optimize hardware components, including USB, PCIe, I2C-connected peripherals, and Ethernet interfaces to ensure seamless operation within our embedded software stack.
· Develop and implement diagnostics and health monitoring solutions, ensuring system reliability, predictive maintenance, and fault detection in critical automotive systems.
· Analyze and troubleshoot low-level system issues, particularly in camera interfaces (MIPI-CSI, ISP bring-up), high-speed data buses, and network connectivity.
· Support manufacturing and production processes, including hardware validation, firmware flashing, and end-of-line testing to ensure smooth integration of software into production vehicles.
· Work closely with hardware teams to validate and debug platform issues, ensuring optimal hardware-software interaction.
· Contribute to upstream Linux kernel development and work with open-source communities where applicable.
· Define Objectives and Key Results (OKRs) and work towards continuously improving software stability, performance, and maintainability.
Your Skills & Abilities (Required Qualifications)
· Bachelor's degree in electrical engineering or a related field. Or Work equivalent experience
· 3+ years of experience in embedded Linux kernel development, device driver programming, and board bring-up.
· Expertise in Linux kernel internals, including memory management, scheduling, file systems, and IPC mechanisms.
· Experience in camera bring-up, including MIPI-CSI, ISP tuning, V4L2 framework, and image processing pipelines.
· Strong experience with BSP development, bootloaders (e.g., U-Boot), and firmware integration.
· Deep knowledge of communication protocols such as USB, PCIe, I2C, SPI, and MIPI-CSI.
· Experience with Ethernet interfaces (WLAN, LAN) and network protocols (BLE, Bluetooth 5.0).
· Proficiency in diagnostics, health monitoring, and fault detection for embedded systems.
· Familiarity with manufacturing and production support, including hardware validation, firmware flashing, and end-of-line testing.
· Proficiency in low-level debugging tools (e.g., JTAG, GDB, ftrace, kdump, perf).
· Experience with SoC architectures and hardware interaction at the register level.
· Knowledge of power management techniques, security frameworks, and real-time optimizations in Linux-based systems.
· Strong problem-solving skills and the ability to analyze complex system issues across software and hardware domains.
· Excellent communication skills with the ability to work effectively in cross-functional teams.
What Will Give You A Competitive Edge (Preferred Qualifications)
· Bachelor's degree in electrical engineering or a related field. Advanced degree preferred. Work equivalent experience
· 3+ years of experience in embedded Linux kernel development, device driver programming, and board bring-up.
· Expertise in Linux kernel internals, including memory management, scheduling, file systems, and IPC mechanisms.
· Experience in camera bring-up, including MIPI-CSI, ISP tuning, V4L2 framework, and image processing pipelines.
· Strong experience with BSP development, bootloaders (e.g., U-Boot), and firmware integration.
· Deep knowledge of communication protocols such as USB, PCIe, I2C, SPI, and MIPI-CSI.
· Experience with Ethernet interfaces (WLAN, LAN) and network protocols (BLE, Bluetooth 5.0).
· Proficiency in diagnostics, health monitoring, and fault detection for embedded systems.
· Familiarity with manufacturing and production support, including hardware validation, firmware flashing, and end-of-line testing.
· Proficiency in low-level debugging tools (e.g., JTAG, GDB, ftrace, kdump, perf).
· Experience with SoC architectures and hardware interaction at the register level.
· Knowledge of power management techniques, security frameworks, and real-time optimizations in Linux-based systems.
· Strong problem-solving skills and the ability to analyze complex system issues across software and hardware domains.
· Excellent communication skills with the ability to work effectively in cross-functional teams.
Benefits:
Hybrid: This internship is categorized as on-site. The selected intern is expected to report to the office 3 days a week.
Location:
Sunnyvale, CA
The Embodied AI Research team advances artificial intelligence methods for autonomous vehicles and embodied systems. We explore how models can combine visual and sensor understanding, language and other modalities, reasoning, prediction, and action to address challenging problems in autonomous driving.
Our work includes foundation models, vision-language and vision-language-action architectures, generative and world models, self-supervised learning, imitation learning, reinforcement learning, multimodal learning, and methods for learning from large-scale driving data. We work closely with engineering teams to translate research into reliable systems for real-world autonomy.
As an Embodied AI Research Intern, you will conduct applied research on a well-scoped project at the intersection of machine learning, robotics, and autonomous driving. You will work with experienced researchers and engineers to develop hypotheses, design experiments, train and evaluate models, analyze results, and communicate findings.
Potential focus areas include:
Compensation:
Core IT is responsible for delivering and maintaining the technology, platforms, and services that help teams across GM do their best work. We support product, design, engineering, manufacturing, operations, and corporate functions by improving the tools, workflows, and technology experiences they rely on every day. Our goal is to provide secure, reliable, and seamless technology that helps employees spend less time navigating friction and more time solving the problems that matter most in their domains.
At General Motors, we are using AI to simplify how work gets done—reducing manual effort, removing friction, and helping engineers and business teams focus on higher-value outcomes.
As a Principal Engineer, AI Acceleration, you will identify high-leverage opportunities, then design, build, and scale AI-powered tools that measurably improve how people work. You will operate at the intersection of software engineering, AI/LLM capabilities, product thinking, and organizational change. This is a hands-on technical leadership role. This isn’t a research or advisory role. You’ll ship tools people use every day and aim for step changes of 10x to 100x, not incremental gains.
For example, our design team’s brand guidelines live in Figma. Instead of maintaining static templates, we built an AI skill that reads the guidelines directly, drafts on-brand presentations, and runs a linter that catches off-brand choices. Work that took days now takes minutes, and the guidelines stay the single source of truth. You’d find and build the next dozen of these.
You will work directly with product, design, engineering, manufacturing, operations, and corporate-function teams to understand the problems behind the requests. You will move quickly from discovery and prototyping to production-quality solutions, while maintaining appropriate standards for security, privacy, reliability, responsible AI, and supportability.
The right person is comfortable creating clarity where there is no specification, switching between executive-level strategy and technical implementation, and measuring success by outcomes.
Non : Ce poste n’est pas vacant au sein de l’organisation et est ouvert aux nouvelles candidatures. (Création de postes)
Utilisation de l’IA
Dans le cadre du processus de candidature, l’intelligence artificielle sera utilisée pour le recrutement à ce poste.
Présence sur site : Ce poste exige une présence sur site à temps plein.
Sur place : Ce poste nécessite qu'un employé soit sur place à temps plein.
Temps Partiel Temporaire – Centre de distribution des Pièces de Montréal
Location: Pointe Claire, Quebec
Département: Expédition et Réception
Date cible d’embauche : mmediat(e)
Position(s) Disponible(s): 3
Quart de travail : Jour – 06h00 à 14h30
Quart de travail : Soir – 15h30 à minuit
Heures : De 24 à 40 heures par sem. approx.
Taux horaire : 31,78 $/h
Notre culture est axée sur la création d'équipes inclusives, où les différences et les perspectives uniques sont prises en compte afin que vous puissiez contribuer à votre plein potentiel tout au long de votre carrière. Nos sites disposent d'une variété d'environnements de travail, y compris un espace de travail ouvert et des plates-formes de connexion virtuelle pour inspirer la productivité et une collaboration flexible. Et nous sommes fiers de soutenir les intérêts bénévoles de nos employés et de faire de notre priorité de nous unir dans des efforts qui redonnent à nos communautés.
Le Centre de Distribution des Pièces de GM Canada, située à Pointe Claire, QC, a une occasion unique pour un préposé à l’entrepôt. Ce travail consiste à travailler dans un environnement d’entrepôt tout en effectuant la cueillette et le placement des pièces automobiles. Le demandeur doit démontrer de solides compétences en reconnaissance des nombres et être en mesure de compter avec précision. Une attention particulière aux détails est nécessaire.
Pour modifier la langue préférée dans laquelle vous voyez les offres d'emploi et recevez les communications de GM, veuillez consulter et sélectionner les options dans le coin supérieur droit de l'écran. Cliquez sur le mot anglais et vous recevrez une liste déroulante pour choisir parmi 6 options de langue différentes.
Ce poste ne donne pas droit à une aide au déménagement. Tous les frais de déménagement seront à la charge du candidat retenu.
GM N'OFFRE PAS DE PARRAINAGE LIÉ À L'IMMIGRATION POUR CE RÔLE. NE DEMANDEZ PAS POUR CE RÔLE SI VOUS AUREZ BESOIN DU PARRAINAGE DE GM IMMIGRATION MAINTENANT OU DANS LE FUTUR.
Vacancy Status
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
On-site: This position requires an employee to be on-site on a full-time basis.
Temporary Part Time – Montreal Part Distribution Center
Location: Pointe Claire, Quebec
Department: Montreal Shipping and Receiving
Target Hire Date: Immediately
Position(s) Available: 2
Shift: Day– 6h00 AM to 2h30 PM
Shift: Afternoon – 3h30 to midnight
Hours: 24 to 40 hours per week approx.
Hourly Rate: $31.78/hr
Our culture is focused on building inclusive teams, where differences and unique perspectives are embraced so you can contribute to your fullest potential as you pursue your career. Our locations feature a variety of work environments, including open workspace and virtual connection platforms to inspire productivity and flexible collaboration. And we are proud to support our employees volunteer interests, and make it a priority to join together in efforts that give back to our communities
GM Canada’s Montreal Parts and Distribution Centre, located in Point Claire, QC, has a unique opportunity for warehouse attendants. This job entails working in a warehouse environment while performing the picking and put away of Automotive Parts. The applicant must demonstrate strong number recognition skills and be able to count accurately. Attention to details is required.
Required Qualifications
To change the preferred language in which you see job postings and will receive communications from GM , please review and select options for the top right hand corner of the screen. Click on the word English and you will receive a drop down to select from 6 different language options.
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.
]]>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
Our team is responsible for Exterior Hardware including Door Hardware Modules, Latches, Inside/Outside Handles, Release Cables, Window Regulators, Struts, Actuators, Latches, Switches, Sunroofs, Convertibles, and Targa Roof Systems. We’re seeking a proactive individual contributor with experience in movable roof systems and a passion for developing new subsystems. Success in this role requires broad technical knowledge, creativity, leadership, and independent thinking.
This role demands strong leadership to guide a cross-functional PDT—including suppliers and internal GM teams in Styling, Purchasing, Manufacturing, and Quality. Ideal candidates will have excellent communication and project management skills, a drive to tackle complex challenges, and a desire to deepen technical expertise in movable roof systems.
This position may be filled with a Senior Design Release Engineer or Design Release Engineer. The level for this role will be determined based on the selected candidate’s qualifications, skills, and experience.
What You’ll Do (Responsibilities)
Your Skills & Abilities (Required Qualifications): Senior Design Release Engineer
Your Skills & Abilities (Required Qualifications): Design Release Engineer
What Will Give You a Competitive Edge (Preferred Qualifications)
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]]>The Maintenance Lead is responsible for overseeing a team of salaried maintenance Group Leaders and overseeing the maintenance and repair of plant equipment and facilities. This role ensures alignment with GM’s Global Manufacturing System (GMS) and focuses on Safety, People, Quality, Responsiveness, Cost, and Environment (SPQRCE). The Maintenance Lead plays a key role in driving operational excellence, team development, and cross-functional collaboration.
As a Maintenance Lead, you will manage day-to-day maintenance operations, provide technical guidance, and ensure compliance with safety and labor standards. This role will require overtime commitments and work on multiple shifts. You’ll be responsible for developing your team, implementing preventative maintenance strategies, and supporting plant-wide initiatives. This role requires strong leadership, technical acumen, and the ability to influence across departments.
What You'll Do:
Your Skills and Abilities (Required Qualifications):
What Will Give You a Competitive Edge ( Preferred Qualifications):
Job Description
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.
Work Arrangement:
Onsite: This role is categorized as onsite. This means the successful candidate is expected to report to Lansing, MI on a full-time basis.