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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:
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.
As a Senior Cyber Detection Incident Analyst, you will play a critical role in protecting General Motors' global enterprise by identifying, analyzing, and helping mitigate advanced cyber threats across cloud, identity, endpoint, network, application, and manufacturing ecosystems.
You will serve as a senior technical leader within the Cyber Detection organization, driving detection engineering initiatives, leading complex investigations, and continuously improving the technologies, analytics, and processes used to identify malicious activity. This role combines deep technical expertise, threat-focused analysis, and cross-functional collaboration to enhance GM's overall cybersecurity posture.
The ideal candidate possesses a passion for cyber defense, strong analytical and investigative skills, and experience developing scalable detection capabilities across modern enterprise environments.
What You'll Do
Lead advanced investigations involving complex security incidents, emerging threats, and high-severity escalations
Develop, implement, and optimize detection logic across SIEM, EDR, NDR, SOAR, cloud-native security platforms, and other security monitoring technologies
Conduct threat hunting activities to proactively identify adversary behaviors, attack techniques, and detection gaps
Apply threat intelligence, adversary tradecraft, and MITRE ATT&CK methodologies to improve detection coverage effectiveness
Design, tune, and validate analytics to reduce false positives and improve alert fidelity
Develop automation, enrichment workflows, and operational efficiencies using AI, scripting and security orchestration technologies
Partner with Incident Response, Threat Intelligence, Cloud Security, Product Security, Manufacturing Security, and other cybersecurity teams to improve detection capabilities
Mentor and provide technical guidance to analysts and detection engineers
Drive continuous improvement initiatives that increase visibility, reduce investigative effort, and improve operational effectiveness
Evaluate emerging technologies, AI capabilities, and security monitoring solutions to advance GM's detection maturity
Your Skills & Abilities (Required Qualifications)
Bachelor's degree in Cybersecurity, Computer Science, Information Technology, Engineering, or a related technical field, or equivalent practical experience
5+ years of experience in cybersecurity with a focus on detection engineering, security operations, incident response, threat hunting, intrusion detection, or security event analysis
Experience working with enterprise SIEM platforms and log-centric detection methodologies
Experience developing and tuning security detections using correlation logic, behavioral analytics, and threat intelligence
Strong understanding of endpoint security technologies and EDR platforms
Experience investigating security events across endpoint, network, cloud, identity, and application environments
Knowledge of attacker tactics, techniques, and procedures (TTPs) and familiarity with the MITRE ATT&CK framework
Experience using scripting and query languages such as Python, PowerShell, or similar technologies
Strong analytical, troubleshooting, and investigative skills
Experience communicating technical findings to both technical and non-technical audiences
Ability to lead investigations during cybersecurity incidents
Demonstrated ability to collaborate effectively across multiple teams and stakeholders
Ability and willingness to participate in a 24x7 on-call rotation
What Can Give You a Competitive Advantage (Preferred Qualifications)
Experience with cloud security monitoring and detection engineering in Azure, AWS, and GCP environments
Experience with SaaS security monitoring and identity threat detection
Experience with network security monitoring, IDS/IPS technologies, packet analysis, and network telemetry
Experience supporting manufacturing, operational technology (OT), or industrial control system environments
Experience with vehicle cybersecurity, automotive architectures, or embedded security telemetry
Experience with application security monitoring, API security, runtime protection, and CI/CD security telemetry
Experience with malware analysis, reverse engineering, or digital forensics
Experience developing SOAR workflows and security automation solutions
Security certifications such as GCIA, GCIH, GCFA, GCDA, AWS Security Specialty, or equivalent
Proven ability to mentor, coach, and develop cybersecurity professionals
Demonstrated success leading technical initiatives and influencing cybersecurity strategy
Strong written and verbal communication skills
Continuous learning mindset with a passion for innovation and cybersecurity excellence
#LI-SB3
]]>The Construction Project Manager provides construction project management services for manufacturing plants (assembly, stamping, powertrain, casting, and paint), non-manufacturing sites and/or PDPM projects by overseeing all aspects of delivering completed projects.
Responsibilities include the completion of all work including site/civil, buildings, and utilities infrastructure for assigned projects from funding approval through stakeholder occupancy.
What You'll Do:
Your Skills & Abilities (Required Qualifications):
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)
General Motors is undergoing a major transformation, both in how we operate and in how we will influence the future of transportation. Our Software Services team is on the forefront of this work, emboldening our culture by seeking out determined, innovative individuals who will join our team to help move us forward and achieve our mission.
About the Role
The Manager, Cybersecurity Engineer is a senior people leadership role within GM Cybersecurity, and part of the Cybersecurity Governance, Risk & Compliance team. This role owns GM's vehicle product cybersecurity compliance posture — including conducting threat analysis and risk assessment, providing requirements to GM’s Cybersecurity policy and underlying standards, ensuring global regulatory compliance, and orchestrating government-facing audits — while driving control gap remediation across vehicle engineering and product teams.
As the regulatory landscape continues to evolve, this role is also responsible for incorporating emerging vehicle theft-related and compliance requirements into GM's product cybersecurity controls framework. The ideal candidate is a seasoned cybersecurity GRC professional with deep automotive regulatory expertise, a collaborative leadership style, and a proven track record managing high-performing teams while influencing cross-functional stakeholders.
Key Responsibilities
Product Cybersecurity Compliance
Own and maintain GM's product cybersecurity controls framework , ensuring coverage across all applicable vehicle programs, markets, and regulatory requirements.
Lead and oversee Threat Analysis and Risk Assessment (TARA) activities for vehicle product systems, ensuring threat models are current, comprehensive, and integrated into the vehicle development lifecycle.
Provide requirements for and input to product cybersecurity policies and standards aligned to evolving threats, regulatory mandates, and industry best practices; drive necessary approvals and ensure cross-functional integration.
Monitor and interpret global automotive cybersecurity regulations and standards (e.g., ISO/SAE 21434, ISO 24089, UNECE WP.29 frameworks), translating changes into actionable compliance obligations for internal teams.
Track emerging vehicle theft-related cybersecurity compliance requirements and drive necessary programmatic responses across applicable vehicle programs and markets.
UNR155 & Vehicle Type Approval: Own GM's compliance program for United Nations Regulation No. 155 (UNR155) — the global standard for automotive cybersecurity — and serve as the lead orchestrator for Vehicle Type Approval (VTA) and Cybersecurity Management System (CSMS) audits with government agencies and technical services globally.
Manage all aspects of audit readiness, evidence preparation, submission coordination, and post-audit remediation across multiple regulatory jurisdictions.
Build and maintain productive relationships with government authorities, type approval bodies, and technical service organizations (e.g., IDIADA, etc.) across international markets.
Ensure audit artifacts, compliance documentation, and CSMS evidence packages are current, complete, and audit-ready at all times.
Control Gap Identification & Remediation
Lead the identification, assessment, and prioritization of cybersecurity control gaps across vehicle product systems, aligned to UNR155, ISO/SAE 21434, and other applicable frameworks.
Drive cross-functional remediation efforts, partnering with Vehicle Cybersecurity Engineering and other engineering teams to develop and execute corrective action plans.
Establish and maintain tracking mechanisms for control gap closure, reporting status to senior leadership on a regular cadence.
Conduct or oversee root cause analyses of identified control deficiencies and systemic risk trends, ensuring durable remediation strategies are implemented.
Cross-Functional Partnership
Partner closely with the Vehicle Cybersecurity Engineering team and other engineering organizations to align compliance requirements to design and development processes throughout the vehicle lifecycle.
Collaborate with Legal, Government Affairs, Program Management, and Supplier teams to ensure a coordinated approach to regulatory compliance.
Provide cybersecurity GRC expertise and compliance guidance to internal stakeholders, translating complex regulatory requirements into clear, actionable direction for engineering and program teams.
Represent GM's product cybersecurity GRC program in external-facing engagements, including regulatory submissions, audits, and industry working groups.
People Leadership & Team Management
Lead, develop, and mentor a team of cybersecurity GRC professionals, fostering a high-performance culture grounded in accountability, collaboration, and continuous growth.
Set clear objectives, establish Key Performance Indicators (KPIs), and own delivery of team results aligned to organizational and GM strategic priorities.
Manage workforce planning, talent development, and performance management for all direct reports.
Build a team with the optimal mix of expertise and experience, supporting hiring and onboarding activities as needed.
Champion GM's behaviors and values, fostering an inclusive and psychologically safe team environment.
Your Skills & Abilities (Required Qualifications)
Bachelor's or Master's degree in Cybersecurity, Computer Science, Engineering, or a related field
Minimum 10 years of experience in cybersecurity, with a focus on GRC, regulatory compliance, or product/automotive cybersecurity
Demonstrated experience leading teams , including people management, performance management, and talent development
Deep knowledge of UNR155 , UNECE WP.29 , NIST CSF and global automotive cybersecurity regulatory frameworks
Experience orchestrating or directly participating in Vehicle Type Approval processes and/or CSMS audits with government or regulatory bodies
Hands-on experience with Threat Analysis and Risk Assessment (TARA) methodologies and integration into the vehicle development lifecycle
Strong expertise in cybersecurity controls frameworks (e.g., ISO/SAE 21434 , ISO 27001, NIST CSF, NIST SP 800-53)
Experience developing or maintaining cybersecurity policies and standards aligned to regulatory and industry requirements
Proven ability to identify control gaps, develop remediation strategies, and drive closure across cross-functional engineering teams
Experience managing complex, multi-stakeholder programs across global, geographically distributed organizations
Strong analytical, problem-solving, and critical thinking skills, with ability to assess systemic issues and translate findings into executive-ready reports
Excellent communication, presentation, and interpersonal skills — able to engage effectively with technical teams, senior leadership, and government representatives
Ability to manage multiple high-complexity programs concurrently and prioritize effectively under shifting regulatory demands
Strong work ethic, attention to detail, and commitment to excellence
What Will Give You A Competitive Edge (Preferred Qualifications)
(Not mandatory, but would give candidates a competitive edge)
Relevant professional certifications (e.g., CGRC , CRISC , CISA , CISSP , ISO/SAE 21434 Lead Auditor , PMP )
Familiarity with vehicle theft-related cybersecurity regulations and compliance obligations (e.g., NHTSA guidance, regional anti-theft mandates)
Experience with GRC software tools and platforms (e.g., Archer, ServiceNow, IBM OpenPages)
Working knowledge of automotive embedded systems, vehicle Electronic Control Unit (ECU) architecture, or connected vehicle technologies
Experience engaging with technical service organizations (e.g., IDIADA, etc.) in the context of type approval
Familiarity with automotive supply chain cybersecurity requirements and partner/supplier compliance programs
Data analytics, dashboard development, or GRC platform reporting experience
Prior experience in a global automotive Original Equipment Manufacturer (OEM), Tier 1 supplier, or government agency environment
Experience with enterprise risk frameworks (e.g., COSO, FAIR, ERM) in a product cybersecurity context
About the Team:
The AI Validation Platform team owns the cloud-agnostic, reliable, and cost-efficient platform that powers GM’s AV efforts. We’re proud to serve as the infrastructure platform for teams developing autonomous vehicles (L3/L4/L5). Our platform supports the simulated validation of state-of-the-art (SOTA) machine learning models, with a focus on performance, availability, concurrency, and scalability. We enable rapid innovation and development by prioritizing high-impact, ML-centric use cases.
About the Role:
We are seeking a Senior ML Infrastructure engineer to help build and scale robust Compute platforms for Simulation workflows. In this role, you will focus on scaling, driving efficiency, and high utilization of cutting-edge GPUs, while also leveling up the platform’s reliability. The successful candidate will have experience building and running scalable distributed systems. They will rapidly test and promote ideas, have strong problem-solving skills, and demonstrate a bias for action.
You will play a key role in shaping the architecture, roadmap, and user experience of a robust service supporting our AI Validation / Simulation needs. The ideal candidate brings experience in designing distributed systems, strong problem-solving skills, and a get-it-done attitude. This is a high-impact opportunity to influence the future of AI infrastructure at GM.
What you’ll be doing:
Design and implement core platform backend software components.
Collaborate with Simulation engineers, ML engineers and researchers to understand critical workflows, parse them to platform requirements, and deliver incremental value.
Lead technical decision-making on Compute architecture, cloud capacity provisioning, caching, and auto-scaling mechanisms.
Drive the development of monitoring, observability, and metrics to ensure reliability, performance, and resource optimization.
Proactively research and integrate frameworks, hardware accelerators, and distributed computing techniques.
Lead large-scale technical initiatives across GM’s ML infrastructure.
Raise the engineering bar through technical leadership and by establishing best practices.
At a Minimum We'd Like You To Have
4+ years of industry experience, with a focus on high performance backend services.
Strong expertise in Go, or other similar coding languages.
Experience working with cloud platforms such as GCP, Azure, or AWS.
Experience in delivering cross-functional initiatives.
Strong communication skills and a proven ability to drive cross-functional initiatives.
Ability to thrive in a dynamic, multi-tasking environment with ever-evolving priorities.
It's Preferred If You Have
Hands-on experience with Cloud VM services Google Compute Engine.
Experience with hardware-in-the-loop validation systems.
Experience with high performance computing (HPC).
Experience working with or designing interfaces and clients for developer workflows.
Familiarity with telemetry, and other feedback loops to inform product improvements.
Familiarity with hardware acceleration (GPUs) and optimizations.
Why Join Us?
If you’re excited to tackle some of today’s most complex engineering challenges, see the impact of your work in real-world AV applications, and help shape the future of AI infrastructure at GM—this is the team for you.
Compensation: The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of New York, Colorado, California, or Washington.
The salary range for this role is $155,420 to $205,900. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.
Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.
Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.
Benefits:
Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.
Relocation: This job may be eligible for relocation benefits.
Remote/Hybrid: This role is based remotely but if you live within a 50-mile radius of Mountain View, you are expected to report to that location three times a week, at minimum.
Vacancy Status:
This posting is not for an existing vacancy within the organization and is open to new applications.
AI Disclosure:
As part of the application process, Artificial Intelligence will be used in the hiring process for this role
Work Arrangement: This role is categorized as hybrid. This means the successful candidate is expected to report to the office three days per week, at minimum
The Role
As a Senior Software Developer , you will build the software that powers GM’s virtual development environments, SIL workflows, and AI‑enhanced simulation capabilities. You bring strengths in automation, embedded systems, and problem‑solving — and this role expands your exposure to cloud, data, ML fundamentals, and large‑scale simulation architecture.
What You’ll Do ( Responsibilities )
Develop backend services supporting virtual ECUs, simulation orchestration, and model execution.
Build tools for SIL workflows including scenario execution, data capture, and automation.
Integrate AI/ML components into simulation or validation pipelines.
Design APIs for simulation control, artifact management, and orchestration.
Optimize performance for compute‑intensive workloads.
Collaborate with DevOps and simulation teams to ensure seamless integration.
Contribute to CI/CD workflows for simulation and AI components.
Your Skills & Abilities ( Qualifications )
Bachelor’s or Master’s degree in Engineering, Computer Science, or related field.
7+ years of relevant experience in software development, simulation, or embedded systems.
Strong programming skills in Python, C++, C#, or Java.
Experience with simulation or virtualization (vECUs, FMUs, SIL).
Understanding of cloud services and distributed systems.
Experience with CLI-based architecture for tools design.
Knowledge of MCP-based architecture for AI tools design.
Experience with databases for simulation metadata and results.
Optional AI Skills:
ML lifecycle basics
Vector search or embeddings
Model integration
What Will Give You a Competitive Edge ( Preferred Qualifications )
Experience with microservices for simulation orchestration.
Knowledge of Kubernetes for running compute workloads.
Performance tuning expertise for simulation or AI pipelines.
Experience with automotive data and domain modeling.
Experience with ontology-based engineering processes and architecture frameworks.
Advanced knowledge of ontology technologies and ontology design patterns (Owl, RDF, SPARQL, Automated reasoning)
Compensation:
The salary range for this role is $115,000 to $164,600. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.
GM DOES NOT PROVIDE IMMIGRATION-RELATED SPONSORSHIP FOR THIS ROLE. DO NOT APPLY FOR THIS ROLE IF YOU WILL NEED GM IMMIGRATION SPONSORSHIP NOW OR IN THE FUTURE.
Benefits Overview
The goal of the General Motors of Canada total rewards program is to support the health and well-being of you and your family. Our comprehensive compensation plan currently includes the following benefits, in addition to many others:
Paid time off including vacation days, holidays, and supplemental benefits for pregnancy, parental and adoption leave;
Healthcare, dental, and vision benefits;
Life insurance plans to cover you and your family;
Company and matching contributions to a Defined Contribution Pension plan to help you save for retirement;
GM Vehicle Purchase Plan for you and your family.
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 .
]]>Compensation
The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of New York, Colorado, California, or Washington.
The salary range for this role is $160,200 to $246,300. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.
Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.
Benefits
GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.
Company Vehicle
"Upon successful completion of a motor vehicle report review, you will be eligible to participate in a company vehicle evaluation program, through which you will be assigned a General Motors vehicle to drive and evaluate. Note: program participants are required to purchase/lease a qualifying GM vehicle every four years unless one of a limited number of exceptions applies.”
Vacancy Status:
This posting is not for an existing vacancy within the organization and is open to new applications.
AI Disclosure:
As part of the application process, Artificial Intelligence will be used in the hiring process for this role
Work Arrangement: This role is categorized as hybrid. This means the successful candidate is expected to report to the office three days per week, at minimum
The Role:
General Motors is undergoing a major transformation in how we design, develop, and validate software. As part of the Software Defined Vehicle – Embedded Platforms organization this role is within the Virtualization and Software-in-the-Loop (SIL) group, which is responsible for creating virtual in-the-loop environments to enable development, verification, and validation of embedded controllers, production software, and calibrations across the vehicle/mechatronics domains.
You will join our engineering organization as a Software Development Engineer in Test (SDET), responsible for building robust, scalable, and automated testing solutions that ensure the quality, reliability, and performance of our products. This role blends software engineering with a passion for quality, enabling you to influence architecture, improve testability, and drive engineering excellence across teams.
What You'll Do (Responsibilities):
Design automated test frameworks — Build and maintain scalable automation frameworks for UI, API, and integration testing.
Develop high‑quality test automation — Write clean, maintainable, and efficient automated tests using modern tools and languages.
Collaborate with mechatronics engineering teams — Partner with developers, product managers, and QA to define test strategies and ensure testability in design.
Improve CI/CD pipelines — Integrate automated tests into continuous integration systems and optimize build/test workflows.
Analyze defects and root causes — Investigate failures, identify patterns, and drive long‑term quality improvements.
Champion quality engineering practices — Advocate for automation, code quality, and engineering excellence across the organization.
Your Skills & Abilities (Qualifications):
Bachelor's degree in engineering, Computer Science, or related field.
7+ years of relevant experience.
Strong programming skills in Python, other languages such as Java, C#, or JavaScript are a bonus.
Experience with test automation tools like Selenium, Playwright, Cypress, Appium, or similar.
Solid understanding of QA methodologies, testing types, and software development lifecycles.
Hands‑on experience with APIs and tools such as Postman, REST Assured, or similar.
Familiarity with CI/CD systems such as Azure DevOps, GitHub Actions, Jenkins, or GitLab.
Strong debugging and analytical skills with the ability to isolate issues quickly.
Experience working in Agile environments and collaborating in cross‑functional teams.
What Will Give You a Competitive Edge (Preferred Qualifications) :
Experience with cloud platforms such as Azure, AWS, or GCP.
Performance or load testing expertise using tools like JMeter, k6, or Gatling.
Security testing exposure or familiarity with OWASP principles.
Knowledge of containerization (Docker, Kubernetes) and microservices testing strategies.
Background in test data management and environment configuration.
Contributions to automation framework design at scale.
Compensation:
The salary range for this role is $115,000 to $164,600. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.
GM DOES NOT PROVIDE IMMIGRATION-RELATED SPONSORSHIP FOR THIS ROLE. DO NOT APPLY FOR THIS ROLE IF YOU WILL NEED GM IMMIGRATION SPONSORSHIP NOW OR IN THE FUTURE.
Benefits Overview
The goal of the General Motors of Canada total rewards program is to support the health and well-being of you and your family. Our comprehensive compensation plan currently includes the following benefits, in addition to many others:
Paid time off including vacation days, holidays, and supplemental benefits for pregnancy, parental and adoption leave;
Healthcare, dental, and vision benefits;
Life insurance plans to cover you and your family;
Company and matching contributions to a Defined Contribution Pension plan to help you save for retirement;
GM Vehicle Purchase Plan for you and your family.
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):
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.
Hybrid: This role is categorized as hybrid. This means the successful candidate is expected to report to Austin TX IT Innovation Center or Warren Michigan GM Technical Center 3-4 days per week (T-W-Th)
The Role
We’re seeking a passionate and experienced Senior Software Engineer in development to own overall performance of our systems and solution, leading optimization of software and systems to improve site speed, support scalability, reliability and stability. Analyzing metrics based on access to different monitoring tools and working with the respective engineer development teams and architects to design and implement solutions to improve overall site and systems performance (including but not limited to Web Sites, APIs , Database queries and definition of caching strategies) and lead execution of performance and load tests to validate results and prevent performance degradations.
You will be responsible for helping lead our engineering efforts through planning, design and architecture, execution, and ramp. As a technical leader on the team, you will be able to help mentor less experienced engineers, build strong relationships with technical leaders on other teams, and facilitate a strong team culture, applying best practices on Performance Engineering.
What You’ll Do
Design, develop, and maintain scalable backend services, APIs, and microservices.
Analyze, diagnose, and resolve application performance issues in production and pre-production environments.
Design and implement performance optimization strategies for web, mobile, APIs, microservices, and distributed systems .
Identify performance bottlenecks across application code, databases, caching layers, networks, and infrastructure.
Implement performance testing, load testing, and capacity planning strategies.
Collaborate with DevOps and SRE teams to improve system resilience and scalability.
Participate in architecture reviews and technical design discussions.
Weigh architectural trade-offs and apply synchronous and asynchronous design patterns
Develop datasets and workloads that accurately represent the Production environment.
Stay current with emerging technologies and trends and evaluate their potential for adoption.
Mentor junior team members and contribute to team growth and development.
Your Skills & Abilities (Required Qualifications)
Bachelor’s degree in computer science or related field.
7+ years of experience of backend development experience.
Strong expertise in designing and building high-scale distributed systems .
Strong proficiency with performance tools like K6, JMeter.
Strong knowledge of monitoring and observability tools like Data dog, Grafana, Dynatrace.
Deep understanding of virtualization, memory management and networking.
Proficiency in profiling all layers of the Technology stack (Software, OS, network) and optimizing complex applications.
Expertise knowledge in Cloud & Container Ecosystem (Azure, Docker, Kubernetes).
What Will Give You A Competitive Edge (Preferred Qualifications)
Master’s degree in computer science or related field.
#LI-CK1
Gm does not provide immigration-related sponsorship for this role. Do not apply for this role if you will need gm immigration sponsorship (e.g., h-1b, tn, stem opt, etc.) Now or in the future.
GM may support relocation for this position.
The 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
At General Motors, we do not just build vehicles; we build the future of mobility. As part of our commitment to innovation and excellence, we are looking for an enthusiastic, forward-thinking student to join our Student Internship Program. This internship offers a unique opportunity to dive into the world of Packaging Optimization, where you will play a crucial role in shaping the next generation of automotive solutions.
The Team:
Join the Packaging Optimization team and become part of one of the most dynamic and innovative organizations within General Motors. Our mission is to provide GM with a competitive advantage through exemplary services and solutions.
As part of the Packaging Optimization team, you will be interacting with industry leaders, attending cross-functional events, and volunteering for community service activities. You will gain valuable work experience in Global Aftersales Packaging Engineering.
What You'll Do:
Support the complete packaging development process including the creation of packaging designs, prototype development, and performance testing
Fix new and existing packaging problems involving designs, materials, processes and provides creative, timely, and cost-effective solutions
Analyze engineering drawings and specifications of product to resolve physical characteristics of item, special handling, environmental and safety requirements, and types of materials required for packaging
Evaluate and select packaging suppliers / vendors; periodically conduct vendor reviews
Handle multiple projects simultaneously
Works closely with global suppliers, engineering, product management, operations, and sourcing
Participate in product introduction teams to deliver new products to market
Your Skills & Abilities (Required Qualifications):
Currently pursuing a bachelor’s degree in Packaging Engineering or related field
Graduating between December 2027 and August 2028
Able to work full time, 40 hours per week
What Will Give You a Competitive Edge (Preferred Qualifications):
High level of integrity, ability to deal with ambiguity and innovate
Ability to prioritize, multi-task, and meet goals in a fast-paced environment
Outstanding interpersonal and relationship management skills with the ability to effectively collaborate with varying levels of the organization
Proficient in Excel for data analytics and BI software for data visualization
Desire to learn new tools/methodologies
Demonstrated leadership in field of study, extra-curricular activities, or service organizations
What you’ll get from us (Benefits):
Paid US GM Holidays
GM will provide a one-time lump sum taxable stipend payment to eligible students selected for the 2027 Student Program
GM Family First Vehicle Discount Program
Result-based potential for growth within GM
Intern events to network with company leaders and peers
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 Burton, 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 for this internship role are May & June of 2027.
]]>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
GM Defense delivers integrated vehicles, power and propulsion, and autonomy and connectivity solutions to global defense, security, and government markets. The exceptional reliability of GM Defense’s technologies results from decades of proven performance and billions of dollars spent in independent research and development by its parent, General Motors, a world leader in global design, engineering, and manufacturing capabilities. For more information, please visit www.gmdefensellc.com .
The Role
In this role you'll provide technical leadership in materials selection, qualification, and application for GM Defense integrated vehicles. Ensure compliance to GM material specifications (e.g., GMW, ASTM) and support robust, cost-effective designs that meet performance, durability, and corrosion requirements in collaboration with cross-functional teams (Design, Release, Manufacturing, Validation, Purchasing, Suppliers). This role will also lead materials selection and qualification for defense and emerging space-related applications , ensuring compliance with applicable DoD, MIL, and aerospace/space material standards while balancing performance, survivability, weight, and cost.
What You'll Do
Your Skills & Abilities (Required Qualifications)
What Will Give You A Competitive Edge (Preferred Qualifications)
#GMD
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:
General Motors Student Corps is a paid summer internship program that brings together high school students, college interns, and General Motors retirees to strengthen communities and develop the next generation of leaders. As a Student Corps Program Specialist, you will be a college intern, leading a high school-based team in planning and completing a community improvement project while supporting students’ personal, academic, and professional development.
In this unique role, college interns can make a great impact in the metro-Detroit community, while simultaneously preparing for their own future professional careers. As a college intern, Program Specialist, you would play a crucial leadership role as you co-lead community-focused projects, while instructing critical life skills and helping students determine their next steps to achieve their post-high school goals. Program Specialist are exposed to different career paths in GM through workshops and trainings, mentorship with a GM employee in their field of study as well as participate in a group case study project tackling real world business problems.
Each Student Corps school team includes approximately eight to ten high school interns, two General Motors retirees, and one college Program Specialist Intern. Teams work together to develop 3-5 unique community service beautification projects in their school and surrounding neighborhood. Since 2013, GMSC's goal is preparing students to tackle today’s challenges and become tomorrow’s leaders. For a deeper look into the program, please visit our website: General Motors Student Corps website .
Co-lead a school team with General Motors retirees and guide high school interns through community improvement projects.
Brainstorm, research, design, and help execute projects that improve the school or surrounding neighborhood.
Teach and facilitate lessons on resumes, mock interviews, professionalism, leadership, and other life skills.
Mentor high school students as they explore career interests, education options, and post-high school goals.
Help students understand how to navigate higher education and connect their interests to potential career paths.
Build productive relationships with high school students, General Motors retirees, program leaders, and other partners.
Communicate expectations, provide encouragement, and help create an inclusive and supportive team environment.
Maintain the budget for the assigned school team and support accurate program administration.
Track and update payroll information for high school interns, as assigned.
Participate in workshops, training, mentorship activities, and a group project addressing a real-world business challenge.
Meet regularly with an assigned General Motors mentor to set goals, practice professional skills, and prepare for life after college.
Support other program activities and related responsibilities as assigned.
Pursuing a bachelor’s or master’s degree in business, engineering, communications, psychology, technology, social work, education, or a related field.
Must be graduating between December 2027 and June 2029.
Available to work full-time, 40 hours per week, during the 12-week summer internship
Demonstrated leadership through academic, extracurricular, community service, or other activities.
Strong interest in mentoring students and supporting community-focused work.
Strong interpersonal and relationship-building skills, with the ability to work effectively with high school students, retirees, and program leaders.
Excellent verbal and written communication skills, including the ability to explain complex subjects to a broad audience.
Ability to work collaboratively and share knowledge in a fast-paced environment.
High level of integrity, initiative, accountability, and trustworthiness.
Ability to adapt to changing priorities and take ownership of assigned responsibilities.
Customer-focused and innovative approach to problem-solving.
Willingness and ability to participate in community improvement activities, which may include yard work, painting, and learning to use new tools.
Ability to drive company vehicles for work assignments, such as 15 passenger vans or pickup trucks, if required by the assignment.
12-week internship program will be held May 24th – August 13th, 2027
Onsite: This role is categorized as onsite. This means the successful candidate is expected to report to our Global Technical Center in Warren, MI or their assigned High School on a full-time basis.
GM does not provide immigration-related sponsorship for this role. Do not apply for this role if you will need GM immigration sponsorship now or in the future. This includes direct company sponsorship, entry of GM as the immigration employer of record on a government form, and any work authorization requiring a written submission or other immigration support from the company (e.g., H1-B, OPT, STEM OPT, CPT, TN, J-1, etc.)
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 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.)
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.
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]]>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)
The Role
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:
Experience with planned maintenance systems and predictive technologies
Experience with industrial robotics, automation, and conveyance systems
Primary Responsibilities:
Follow established safety procedures according to OSHA standards and company procedures
Maintain, dismantle, repair, and replace mechanical and hydraulic components (e. g. bearings, seals, details, carriers, etc.) on industrial machinery such as shafting, motors, generators, air compressors, engines, pumps, cylinders, gears, couplings, linkages, ball screws, high speed CNC spindles, coolant systems and filters, and combustion equipment and valves
Layout, assemble, fabricate, maintain, and repair piping systems
Use various hand or power tools for measuring, cutting, threading, grooving, bending, soldering, assembling, joining, and installing pipes, valves, and fittings
Read and interpret blueprints for the mechanical operation and assembly of conveyor systems, material handling systems, robots, and other automation
Operate mobile equipment (e.g. forklifts, vertical lifts, cranes)
Determine loading requirements to rig equipment and material for lifting
Set up and operate conventional or computer numerically controlled (CNC) machine tools such as lathes, milling machines, and grinders to cut, bore, grind, or otherwise shape parts to prescribed dimensions and finishes
Fabricate punches, tools, steel rule tools and t-sets to exact specifications
Plan sequences of operations for fabricating tools or assemblies using blueprints, sketches, or models
Determine quality of finished products, ensuring defect-free parts, by verifying dimensions, alignment, and clearances for conformance to specifications using measuring instruments such as calipers, gauge blocks, micrometers, and dial indicators
Interested individuals must meet the following minimum qualifications:
At least six (6) years of related experience in a Mechanical trade (millwright, pipefitter, toolmaker, machine repair) or a U.S. Department of Labor Certificate of Completion in a Mechanical trade (millwright, pipefitter, toolmaker, machine repair).
Must be able to satisfactorily complete the General Motors hiring process requirements which includes comprehensive assessments, drug testing, and a background check
At least 18 years of age
Eligible to work in the United States
Must be willing to work flexible shift hours and day, afternoon, or night shifts as well as overtime hours daily, weekend and holidays on those shifts with little notice
GM DOES NOT PROVIDE IMMIGRATION-RELATED SPONSORSHIP FOR THIS ROLE. DO NOT APPLY FOR THIS ROLE IF YOU NEED OR WILL NEED GM IMMIGRATION SPONSORSHIP TO WORK OR TO REMAIN EMPLOYED AT GM (e.g., H-1B, TN, STEM OPT, etc.).
If you are a current GM employee operating under a collective bargaining agreement, please contact your local HR/LR for employee placement opportunities.
This position may be filled with a Journeyperson or Journeyperson In Training, the compensation ranges for a JIT include ($38.92-$45.40) or Journeyperson rate of ($46.33). 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
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.
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]]>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.
]]>
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
]]>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.
#LI-MJ1
]]>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.
The Manufacturing Software Test Engineer (MSTE) is responsible for developing and executing the strategy for production test systems across vehicle assembly plants and supporting facilities to ensure electrical quality and defect prevention. This role oversees test system integrity, optimizes tester placement and coverage using the Electrical Bill of Operations (BoO), Manufacturing Requirements, and established best practices, and proactively identifies and resolves testing and program risks. By collaborating with cross-functional teams and leveraging data-driven decision-making, the MSTE helps improve Electrical First-Time Quality (E-FTQ), enhance manufacturing efficiency and throughput, and support GM's commitment to delivering safe, high-quality, defect-free vehicles. This position is primarily first shift with occasional off-shift support as needed.
What You'll Do
As a Manufacturing Software Test Engineer (MSTE) , you will lead the strategy, implementation, and continuous improvement of Production Test Systems across vehicle assembly operations. Working closely with Manufacturing, Quality, Engineering, IT, Maintenance, and supplier partners, you will ensure testing systems are reliable, effective, and aligned with quality and production objectives.
Key Responsibilities
Your Skills & Abilities
What Will Give You a Competitive Edge
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:
The Senior Rear Seat Structure Design Release Engineer is the technical owner for rear seat structures and key components from concept through launch and into production. You will define system requirements, lead design and integration, and drive robust execution with a high level of independent judgment, creativity, and technical leadership . Prior experience leading seating structure and/or component development across multiple vehicle launches is strongly preferred.
Key Responsibilities:
Required Education, Experience & Skills:
Preferred Skills & Experience:
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
]]>This posting is for an existing vacancy within the organization and is open to new applications.
AI Disclosure:
As part of the application process, Artificial Intelligence will be used in the hiring process for this role
Work Arrangement: This role is categorized as hybrid. This means the successful candidate is expected to report to the office three days per week, at minimum
The Data Engineering organization at General Motors Canada is developing a unified, scalable Vehicle Observability Data Architecture to enable consistent, secure, and high fidelity data from vehicle ECUs to the cloud. We’re seeking a Senior Embedded Logging Software Engineer to design and integrate embedded data pipelines across diverse in vehicle platforms, ensuring cohesive interaction between the control plane (configuration, arbitration, lifecycle) and the data plane (streaming telemetry and file based transfer).
In this role you'll develop the embedded software to manage logs across the entire vehicle software stack. The software spans from libraries to apps and services supporting application teams across the vehicle software stack. That means more than emitting telemetry: you'll work on the remote configuration and data governance that determines what gets collected, at what granularity, and under whose control, so telemetry volume and data-governance policy can be managed fleet-wide without rebuilding applications.
The ideal candidate brings deep embedded expertise in C++ and/or Java/Kotlin for Android, a track record of delivering Automotive or similar safety critical software. You will deliver software targeting Android, Linux, and QNX. This will require hands-on experience scaling data flows from ECU to cloud. You're comfortable operating under tight resource constraints on production ECUs, and rigorous around reliability, performance, and data privacy. Equally important, you can partner across platform teams, driving integration, alignment, and adoption well beyond your own codebase as an integral part of a new and energetic team.
What You'll Do (Responsibilities)
Embedded Observability Infrastructure
Control Plane Integration
Data Plane Integration
Reliability, Performance & Security
Standards, Documentation & Collaboration
Your Skills & Abilities (Required Qualifications)
What Can Give You a Competitive Advantage (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:
This role is based remotely, but if the candidate lives within a 50 miles radius of a GM hub, they will be expected to report to the location three times a week (or other frequency dictated by your manager).
The Role:
General Motors is seeking a 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:
Your Skills and 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:
Salary 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.
]]>This role is based remotely, but if the candidate lives within a 50 miles radius of a GM hub, they will be expected to report to the location three times a week (or other frequency dictated by your manager).
The Role:
General Motors is seeking a Principal 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:
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:
Salary 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.
]]>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:
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 an experienced and people-focused leader to guide our GMNA Fastening Engineering team. In this role, you will lead a team of approximately 12 Fastener Design Release Engineers and Technical Specialists , providing technical direction, prioritizing workload, and ensuring high-quality engineering execution across multiple vehicle architectures and programs from program initiation through Start of Regular Production (SORP) .
This is an opportunity to shape fastening strategy early in the vehicle development process, influence cross-functional decisions, and help deliver robust, efficient, and manufacturable designs. The ideal candidate brings deep fastening engineering expertise, strong leadership capability, and a passion for developing talent while driving technical excellence.
The successful candidate will:
#LI-JN1
]]>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.
]]> GM Defense (GMD) is seeking a highly motivated and dynamic Program Finance Analyst to play a pivotal role in our strategic growth. The ideal candidate is eager to showcase their talents and make a significant impact on our success.
As a Program Finance Analyst, you will be responsible for monitoring, analyzing, and forecasting program financial performance to ensure GMD meets our financial commitments for both current and future programs. You will maintain accurate Estimates at Complete (EACs) , driving revenue, cost, and resource expectations, ultimately maximizing program profitability. This is a key position where your insights will directly support program and financial management, helping to guide critical decisions and ensure the financial health of our programs.
What You’ll Do:
Additional Job Description:
Yours Skills & Abilities (Required Qualifications):
What Can Give You a Competitive Edge (Preferred Qualifications):
Location: Hybrid. This role is categorized as hybrid. This means the successful candidate is expected to report to the - Global HQ Warren, Mi three times per week, at minimum [or other frequency dictated by the business]
Relocation: This role is NOT eligible for relocation benefits
GM DOES NOT PROVIDE IMMIGRATION-RELATED SPONSORSHIP FOR THIS ROLE. DO NOT APPLY FOR THIS ROLE IF YOU WILL NEED GM IMMIGRATION SPONSORSHIP NOW OR IN THE FUTURE. THIS INCLUDES DIRECT COMPANY SPONSORSHIP, ENTRY OF GM AS THE IMMIGRATION EMPLOYER OF RECORD ON A GOVERNMENT FORM, AND ANY WORK AUTHORIZATION REQUIRING A WRITTEN SUBMISSION OR OTHER IMMIGRATION SUPPORT FROM THE COMPANY (e.g., H-1B, OPT, STEM OPT, CPT, TN, J-1, etc.)
]]>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.)
On-site: This role is categorized as onsite. This means the successful candidate is expected to report to the Bedford, IN location on a full-time basis.
The Role:
The Health Center Supervisor is responsible for direct management of nursing staff and delivery of clinical operations at the Bedford site. They guide and support medical staff, promote communications, monitor medical programs, integrate with the local business, be responsible for the site emergency response program, and promote health and well-being.
What You'll Do:
Supervision of Day-to-Day Health Center operations
Lead and Develop Direct Reports
Promote communication
Integrate with Business Partners
Maintain Health Center Compliance
Monitor Physical Exam Program
Support Medical Emergency Response Activities
Support Wellness/Wellbeing initiatives at the site
Your Skills & Abilities (Required Qualifications):
Bachelor’s Degree in Nursing (BSN) required
5+ years of nursing experience required
Valid state nursing license
Ability to communicate, motivate, and inspire direct reports and others
Ability to lead change within work groups and departments
What Can Give You a Competitive Edge (Preferred Qualifications):
Prior leadership experience in a medical environment
Certification as Occupational Health Nursing (COHN) or Occupational Health Nursing Specialist (COHN-S) preferred
Demonstrates creative and critical thinking
Analytical and problem-solving skills
Previous Supervisory experience in a medical environment
This job may be eligible for relocation benefits
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
]]>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 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
Own critical hypervisor and virtual machine capabilities, including virtual machine definitions, CPU and memory partitioning, device assignment and passthrough, and virtio-based device models.
Design and optimize communication between virtual machines using shared memory, message passing, and virtualized input/output for throughput, latency, and deterministic behavior.
Enable and maintain guest operating systems across embedded Linux, including Yocto-based distributions, Android, and QNX, with consistent access to platform services, time synchronization, lifecycle control, interfaces, and developer tooling.
Implement and optimize the boot and secure-boot chain across partitions, including startup sequencing, boot-time performance, and platform-integrity verification.
Build platform services for resource governance, health monitoring, watchdogs, fault detection, fault handling, and recovery, while meeting automotive safety and availability requirements.
Develop container-runtime and workload-management capabilities for in-vehicle applications, including isolation, resource limits, lifecycle management, updates, and rollbacks.
Profile, optimize, and debug CPU, memory, input/output, and interrupt behavior across the virtualized stack. Lead root-cause analysis using traces, logs, and low-level tools to resolve issues spanning guest operating systems, hypervisors, firmware, and silicon.
Improve engineering quality through continuous integration and continuous delivery (CI/CD), bench and hardware-in-the-loop (HIL) automation, validation strategies, Git and GitHub workflows, and code reviews. Mentor engineers and collaborate with silicon enablement, guest operating system, board support package (BSP), functional safety, and cybersecurity teams.
Your Skills & Abilities (Required Qualifications)
Bachelor’s degree in Computer Science, Electrical Engineering, Computer Engineering, or a related field; or equivalent practical experience.
Ten or more years of professional experience in embedded, systems, or kernel-level software development, including production software in automotive or similarly complex embedded domains.
Deep expertise in operating-system-level software on Arm-based system-on-chips (SoCs), with experience in several of the following areas:
Hypervisor integration, virtual machine configuration, and device virtualization
Real-time operating systems and deterministic scheduling
Linux kernel subsystems, kernel configuration, and low-level system behavior
Bootloaders, secure boot, and platform startup sequencing
Experience delivering commercial embedded systems using Yocto or comparable embedded build systems.
Strong experience with system performance, optimization, and complex debugging, including root-cause analysis across hardware, firmware, hypervisors, kernels, and user space.
Experience with build systems and development tools, including Git, GitHub, CI/CD pipelines, automated testing, and release-quality engineering for platform software.
Strong proficiency in C and C++, plus practical experience with Python and shell scripting for automation, tooling, and debugging.
Demonstrated technical leadership through architecture contributions, mentoring, design reviews, code reviews, and cross-team execution.
Strong written and verbal communication skills, with the ability to influence technical decisions and explain complex system-level topics clearly.
What Will Give You a Competitive Edge (Preferred Qualifications)
Master’s degree in Computer Science, Electrical Engineering, Computer Engineering, or a related field.
Hands-on experience with hypervisors such as Gunyah, QNX Hypervisor, Xen, or KVM/Arm, including virtio device model development.
Experience with QNX Software Development Platform (SDP), Android Open Source Project (AOSP), Android Automotive, or Yocto as guest environments on virtualized platforms.
Experience with automotive functional safety, including ISO 26262, Automotive Safety Integrity Levels (ASIL), freedom from interference, safety islands, or health-monitoring frameworks.
Experience with automotive cybersecurity, including ISO/SAE 21434.
Experience with container runtimes such as Open Container Initiative (OCI)-compliant runtimes, Podman, or systemd-based isolation in resource-constrained environments.
Familiarity with trusted execution environments, secure-boot chains, and key management on embedded platforms.
Experience with Rust in systems or safety-relevant contexts.
Strong command-line experience in Linux or UNIX environments, including tools such as GDB, perf, ftrace, strace, and hypervisor-level tracing.
Contributions to open-source virtualization or operating-system 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 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.
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. *
]]>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 Business Planner will be responsible for the management of strategic and tactical business-related activities among senior executive staff. Additionally, you will have the responsibility of assisting in the execution of work-related commitments, presentation development, briefing materials, customer and executive engagement. Given the volume of written materials required as if coming directly from the senior leader, the individual must possess exceptional written communication skills.
What You’ll Do:
• Support Senior Executive Staff and/or VP within Software and Services
• Organize and ensure operations of the business (staff meetings, special assignments, etc.)
• Drive efficient and effective operating processes
• Develop and maintain multi-year business strategy
• Manage the portfolio/business planning process
• Summarize project business cases (deliverables, benefits, timing)
• Assess execution of business initiatives versus the business plan
• Analyze and report on key operating metrics for the group
• Handle a variety of special assignments
• Develop and conduct presentations for all levels of management
• Identify and implement process improvements for business management
• Ability to work in an ambiguous environment
• Ability to run cross functional projects while solving problems and look one step ahead
Required Skill & Abilities
• Bachelor’s degree
• 5+ years of project management, strategy, or related business experience
• Expertise with Microsoft Tools
• Demonstrated experience with communication to Senior Executive Stakeholders
• Hands on technical or industry experience within a technology, software development or related field
• A positive attitude, integrity, and confidentiality
• Strong management skills and a reputation for being a team player
• Keen sense of protocol
• Ability to work comfortably and effectively with senior leaders and/or officers and administrative staff
• Strong communications skills, both written and oral
• Strong creativity and problem-solving skills
• Experience with developing senior level communication packages
• Obsessive attention to detail
• Ability to work proactively in an action-oriented and decision-making environment with limited direction and high-degrees of autonomy
• Reputation for being energetic, bright, hardworking, enthusiastic; willing to offer ideas, opinions, and judgments
• Acute political sensitivity
• Strong quantitative and analytical skills
• Proven to be a self-starter and results oriented
• A thorough understanding of corporate matrixed management structure with a successful track record of navigating within cross-functional teams to achieve desired results
• Thorough analytical skills with the ability to interpret data to provide insightful conclusions and/or recommendations
• Experience in managing professionals, staff members and consultants effectively, and appropriately advising/influencing senior-level corporate executives
What Will Give You A Competitive Advantage:
• Master’s degree
• Previous experience as Business Planner or Chief of Staff
• Experience working in high-tech, software or automotive industries
Compensation:
The compensation information 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.
We are seeking an experienced, technical oriented, impact delivering-driven expert in ML Training Infrastructure with a strong ability to execute hands-on technical work. In this role, you will be responsible for designing and building scalable, reliable, and high-performance AI/ML platform infrastructure to support advanced AI research and model development initiatives. As a Senior ML Engineer, you will collaborate closely with machine learning engineers, research scientists, and other partners to develop state-of-the-art AI solutions that enable the future of intelligent driving technologies across General Motors vehicles.
What You'll Do:
Design and development of scalable, reliable, high-performance ML framework to support model training at scale.
Raise the bar on system observability, debuggability, and operational excellence, and user experience.
Model training performance analysis and optimization solutions to scale distributed training workflows and maximize resource utilization across heterogeneous hardware environments, and save cost.
Collaborate with cross-functional teams to integrate new features and technologies into the platform.
Your Skills & Abilities (Required Qualifications)
Bachelors degree or higher in Computer Science or equivalent major OR equivalent relevant experience
5+ years professional software engineering experience.
1+ years specialized experience in AI/ML infrastructure, e.g., enabling distributed training for scaling large ML models
Strong programming skills in Python, with proficiency in frameworks such as,PyTorch (preferred), TensorFlow, or similar
Experience with distributed computing, GPU computing, and cloud environments (AWS, GCP, Azure).
Willingness to travel to Sunnyvale, CA as needed
Comfortable working in highly ambiguous and dynamic environments
What Will Give You a Competitive Edge (preferred qualifications):
Self-motivated, strong execution, impact-delivering oriented
Extensive knowledge and experience with PyTorch 2.x+ and distributed training framework
Experience with design and development of training framework that supports FSDP, Pipeline Parallelism and other scalable solutions to training large foundational models
Experience with profiling, analysis, debugging and optimizing training and data loading performance.
Excellent communication skills to resolve controversial, make consensus, communicate risks and give constructive feedback
Compensation: The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of New York, Colorado, California, or Washington.
The Role
The GM Quality Connected Customer Continuous Improvement team is seeking a data scientist to support digital transformation and AI enablement efforts. The individual will work as a member of a team with deep experience in GM’s quality issue management and warranty systems. The individual will bring a data science toolkit and innovative spirit to generate ideas and execute projects that improve overall efficiency of quality business processes. The work will generally consist of listening to/framing stakeholder problems, creation of new data pipelines, building of Artificial Intelligence / Machine Learning (AI/ML) solutions, and development of accompanying user interfaces that enable implementation of solutions for direct decision support.
What You’ll Do
Your Skills & Abilities (Required Qualifications)
What Can Give You a Competitive Advantage (Preferred Qualifications)
Vacancy Status
Yes - This posting is for an existing vacancy within the organization and is open to new applications. (Backfill)
AI Disclosure
As part of the application process, Artificial Intelligence will be used in the hiring process for this role
Onsite - This role is categorized as onsite. This means the successful candidate is expected to report to St.Catharines Propulsion on a full-time basis.
As a member of GM's Human Resources Team, you will lead and coordinate assigned business functions in day-to-day HR/LR activities and provide direction and leadership that aligns and supports our objectives, mission and culture.
You will work strategically with assigned functional business leaders in the plant to develop positive working relationships, build engagement with our Union partners, problem-solve, attract and retain talent, including collaborating with COEs relative to strategic workforce planning. Collaborate with plant leadership to provide direction on specific transformation efforts, talent development, performance management, and workforce/organizational planning.
As a member of the St.Catharines Propulsion HR/LR Team, you will demonstrate behaviours that promote a strong inclusive workplace culture that attracts and motivates others while supporting our overall HR/LR strategic objectives. We are looking for the ideal candidate to have have a strong financial and forecasting acumen, possess a deep understanding of our Company, brands, function, and products; and understand legal requirements at an execution-level related to the management of employees, reducing legal risks and ensuring regulatory compliance.
Key Responsibilities
Core HR:
Labor:
Education and/or Training :
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:
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 job may be eligible for relocation benefits.
Onsite: This role is categorized as onsite. This means the successful candidate is expected to report at the listed location on a full-time basis.
The Role:
Enter into a Press Manufacturing Engineer Development Program for 2 years to prepare for the position of Press Manufacturing Engineer. In this 2-year development program you will learn the mechanics of our presses and how to maintain / repair them. You will then lead team members & group leaders to maintain & repair the presses as well as improve the equipment & processes with innovative ideas. In this role, you will work to optimize the safety & quality of maintaining our presses to maintain & improve performance and reliability of our equipment.
This role is planned to be predominately a day shift role, but in times of need for equipment repairs, training others or assisting with management of people on other shifts will be required at times. The position will require long hours mainly in the times of equipment failures to repair the equipment.
You will partner closely with plant trades people, plant leaders, headquarters press engineering group, suppliers, & controls engineers to problems solve, find improved solutions & implement read across solutions from other facilities. This role requires strong technical judgment, hands-on problem solving.
What You’ll Do:
Required Qualifications:
Preferred Qualifications:
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:
We’re on a mission to build the world’s most advanced self-driving vehicles to safely connect people to the places, things, and experiences they care about. At GM's Autonomous Vehicle (AV) organization, we’re combining cutting-edge research, robust engineering, and large-scale systems to make this future a reality. Our team is developing national-scale, next-generation mapping systems from the ground up—combining robust backend infrastructure with intuitive, performant user interfaces.
The Role
We’re looking for a Fullstack Engineer with deep expertise in Frontend technology to join our Mapping Engineering team. You’ll be responsible for building web-based tools and interfaces that empower engineers, operators, and stakeholders to interact with our distributed mapping systems. From visualizing map data and pipeline health to enabling map QA and debugging workflows, your work will directly impact the safety and scalability of autonomous driving. You’ll collaborate closely with product managers, backend engineers, machine-learning engineers, domain experts across Localization, Perception, and Simulation to deliver high-quality, user-centric tools that support the full map lifecycle.
What You’ll Do (Responsibilities)
Architect and implement performant, scalable, and maintainable frontend systems for AV mapping applications across web and embedded platforms.
Design intuitive, data-rich user interfaces to visualize complex geospatial and mapping data, supporting workflows such as map editing, validation, and release.
Collaborate closely with backend, simulation, localization, and perception teams to define robust data contracts and ensure seamless integration across systems.
Lead the frontend development lifecycle for high-impact projects—defining milestones, aligning stakeholders, and mentoring engineers across functions.
Drive technical excellence in frontend engineering by conducting design reviews, enforcing UI/UX best practices, and setting standards for code quality, testing, and documentation.
Optimize rendering performance and responsiveness for large-scale map data and real-time updates.
Serve as a Subject Matter Expert (SME) in frontend architecture, component design, and visualization frameworks within the Mapping organization and across AV domains.
Contribute to roadmap planning and hiring strategies to grow frontend expertise across the team.
Minimum Qualifications (Must-Have)
5+ years of experience building and maintaining production-grade frontend applications.
Bachelors Degree in Computer Science or related field. Or relevant work experience
Proven experience owning and shipping user-facing products, ideally in high-performance or data-intensive domains.
Strong proficiency in modern JavaScript/TypeScript, React (or similar frameworks), and state management libraries (e.g., Redux, Zustand).
Deep understanding of frontend performance optimization, accessibility, and responsive design.
Experience working with geospatial data, map rendering libraries (e.g., Mapbox GL, Deck.gl, OpenLayers), or data visualization frameworks (e.g., D3.js).
Familiarity with RESTful APIs, WebSockets, and GraphQL.
BS, MS in Computer Science, Human-Computer Interaction, or a related technical field, or equivalent industry experience.
Demonstrated success in leading frontend initiatives, mentoring engineers, and working with cross-functional stakeholders.
Preferred Qualifications (Nice-to-Have)
7+ years of experience building and maintaining production-grade frontend applications.
Experience with AV mapping systems, HD map data pipelines, or automated cartographic error detection.
Knowledge of computer vision or machine learning workflows related to map labeling or perception.
Deep experience with Node.js internals and performance tuning.
Experience designing performant geospatial services, coordinate systems, and transforms.
Compensation: The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of New York, Colorado, California, or Washington.
The salary range for this role: is $144,700 to $261,300. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.
Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.
Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more
#GM-AV-1
]]>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 an energetic and passionate Industrial Engineer that will champion early development of new product programs. Your work will involve complex manufacturing systems such as battery and drive unit assembly, castings, machining metal components, engine and transmission assembly, and fuel cells. Your strengths in team collaboration, effective communication, and integration of information provide a sound base for this position. The ability to work in a dynamic, fast-paced manufacturing environment is critical to your success at General Motors.
Responsibilities - What You’ll Do
Qualifications – What You’ll Need
Required
Preferred
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:
We are seeking a highly skilled and motivated Staff Software Engineer to lead the development of innovative battery management software solutions for low-voltage (LV) systems. This role demands a strong technical leader who can drive strategic initiatives, foster cross-functional collaboration, and champion best practices in software engineering within a dynamic automotive environment.
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.
]]> 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 Staff Product Manager for GM’s next-generation in-vehicle experience (IVX), you will play a dual role:
First, you will act as a platform product leader for core elements of the shared in-vehicle experience — helping define the product direction, requirements, and evolution of system-level UI capabilities used across vehicle programs.
Second, you will represent the end-to-end in-vehicle experience in partnership with vehicle programs, ensuring the hardware and digital experience come together as one integrated product customers can immediately understand, trust, and value.
The role is accountable not only for defining shared platform capabilities, but also for ensuring those capabilities come together within vehicle programs as a cohesive customer product across hardware, software, and cabin experience.
This is not a pure portfolio strategy role, and it is not a narrow feature PM role. It is a senior individual contributor role for a product manager who can operate at the platform level while also working across real vehicle programs to ensure the full experience is coherent, intentional, and executable.
You will report to the Director of Product Management and work closely with Design, Engineering, Program Management, and vehicle teams across GM.
What You’ll Do
Platform Product Leadership - Core System UI & Shared Experience Foundations
Vehicle Program Integration - Cohesive End-to-End Experience
Execution & Cross-Functional Leadership
Customer Insight & Product Strategy
Your Skills & Abilities (Required Qualifications)
Core Product Management
Platform & Multi-Surface Experience
End-to-End Experience Integration
Execution & Delivery
Customer Focus & Communication
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 office three times per week, at minimum. This position will be located in Warren, MI.
Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending 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
]]>
AI Disclosure:
As part of the application process, Artificial Intelligence will be used in the hiring process for this role.
Work Arrangement:
This role is categorized as Onsite. This means the successful candidate is expected to report to Oshawa Assembly Plant five times per week at minimum, or other frequency dictated by the business.
About GM:
At General Motors we pride ourselves on designing, building and selling the world's best vehicles. We are seeking a new generation of visionaries to help launch bold engineering and business initiatives, and shape new directions for General Motors. As an intern or co-op student through our EXCEL (Exploring Careers through Experiential Learning) Program you will gain hands-on career specific experiences to maximize your real world potential.
The Role:
As a Supervisor, the individual is responsible for supervising a group of employees involved in production, or operations. The group is responsible for quality products in a safe, and timely manner! Also, the Co-Op student will be responsible for reducing costs, eliminating waste, and improving safety practices. Together with other Supervisors, you are part of a team supporting business objectives, and maintaining operation at a world-class level! Some of the problem-solving work is of a technical nature. This type of work requires the ability to make timely decisions within specified limits, that the individual can effectively cope with change, and can comfortably handle risk and uncertainty.
Furthermore, the Supervisor can expect to be collaborating on innovation challenges, interacting with industry leaders, attending professional trade events, and volunteering for community service activities.
Key Responsibilities:
Supervise hourly represented employees in a unionized environment
Implement Health & Safety laws, and promote a safe work environment
Ensure quality levels are maintained and improved every day
Maintain and exceed efficiency levels through continuous improvements
Effective use of personnel, material and equipment
Align with terms of local and national labour agreements
Maintain department records and complete various administrative tasks
Supervise and achieve business plan objectives and targets
Shift rotations and flexible to work weekends and overtime as required
Qualifications:
Pursuit of a Bachelors Degree in Supply Chain, Business, Commerce or Business Management, Finance, or equivalent)
Able to work 40 hours per week in Canada and for 8, or 12 month term (consecutive semesters) starting January 2027
Willing to work in a plant environment and flexible hours (shift work, weekends, and overtime to meet business needs)
Preferred Qualifications:
Prior manufacturing experience, knowledge of production environments, and in automotive industry are considered assets
Previous supervisory, or team leading experience
Desired Skills:
Outstanding leadership, interpersonal, and relationship management skills with the ability to effectively collaborate with varying levels of the organization
Excellent written and verbal communication skills with the ability to distill complex subjects to a wider audience
High level of integrity, ability to deal with ambiguity, takes initiative/self-directed
Evidence of strong character with integrity, honesty, accountability and trust
Consistently demonstrates innovative thinking that is customer-centric
Excellent project management skills and the proven ability to manage numerous projects at any given
Possess strong organizational, problem-solving, and analytical skills
Fundamental digital literacy including understanding of MS Word, Excel, Access, and PowerPoint
The salary range for this role is $4264- $4784 CAD. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.
THIS JOB IS NOT ELIGIBLE FOR RELOCATIONS BENEFITS. ANY RELOCATION COSTS WOULD BE THE RESPONSIBILITY OF THE SELECTED CANDIDATE.
GM DOES NOT PROVIDE IMMIGRATION-RELATED SPONSORSHIP FOR THIS ROLE. DO NOT APPLY FOR THIS ROLE IF YOU WILL NEED GM IMMIGRATION SPONSORSHIP NOW OR IN THE FUTURE
NOTE - YOU MUST BE ENROLLED IN A CO-OP PROGRAM AND MEET THE PROGRAM’S ELIGIBILITY REQUIREMENTS. ALL STUDENTS MUST ALSO BE LEGALLY ENTITLED TO WORK IN CANADA.
Accommodation is available for applicants with disabilities. Should you be contacted by General Motors of Canada Company, please advise if you require accommodation.
For more information about GM Canada, visit our website at www.gm.ca/careers
General Motors of Canada values diversity and is an equal opportunity employer.
Especialidades requeridas y conocimientos requeridos:
Horario de práctica:
De 6:00am a 2:00pm, de lunes a viernes
GM no proporciona soporte ni patrocinio para trámites de documentos legales con fines inmigración. Si requieres apoyo en el trámite de documentos migratorios ahora o en el futuro, abstente de aplicar a esta vacante"
Si requieres algún ajuste razonable para continuar con tu proceso de selección, informa tu reclutador.
Recuerda adjuntar tu CV al momento de postularte.
No Discriminación e Igualdad de Oportunidades
General Motors es una empresa comprometida en ser un espacio de trabajo libre de discriminación que fomenta la inclusión y el sentido de pertenencia. Respetamos y valoramos lo que cada individuo ofrece a nuestro equipo, incluyendo su procedencia, educación, sexo, raza, grupo étnico, orientación sexual, expresión y/o identidad de género, contexto religioso, edad, generación, y discapacidad. Creemos que nuestra habilidad para satisfacer las necesidades y expectativas de una base de clientes cada vez más diversa y global se vincula de cerca a la diversidad e inclusión que vivimos dentro General Motors.
]]>At General Motors, our product teams are redefining mobility. Through a human-centered design process, we create vehicles and experiences that are designed not just to be seen, but to be felt. We’re turning today’s impossible into tomorrow’s standard —from breakthrough hardware and battery systems to intuitive design, intelligent software, and next-generation safety and entertainment features.
Every day, our products move millions of people as we aim to make driving safer, smarter, and more connected, shaping the future of transportation on a global scale.
Role Overview
As a Senior Software Engineer (Dynamics and Controls), you will be a senior individual contributor in the Local Planner Controller team within Embodied AI. We formulate and solve optimization problems online, considering kinematic feasibility, collision avoidance, and ride comfort. In this role, you will provide cross-functional technical leadership for vehicle dynamics, estimation and controls systems used in GMs Super Cruise system. You will contribute to vehicle dynamics and controls software, drive design quality from architecture through validation, and align multiple teams to ship reliable, scalable autonomy capabilities that meet company goals.
You will:
Drive feature development for vehicle dynamics and controls software deployed to GMs Super Cruise system.
Architect and implement system designs and interface contracts with perception, prediction and planning systems, ensuring deliverables meet performance targets and safety constraints.
Lead technical reviews and drive software engineering best practices across the team and the larger organization.
Contribute to Active Safety, Driver Assistance, and Super Cruise.
Establish verification and validation strategies for the vehicle dynamics and controls software, including simulation and on-road testing validation gates.
Partner with Safety, Systems Engineering, and Product to generate requirements for onboard systems.
Lead root-cause investigations for complex integration issues, using data-driven techniques and principled experimentation, proactively creating test plans for new features and defining useful metrics for analyzing performance
Improve and deliver reliable software through continuous integration, automated testing, and code reviews.
Help define, build, and embody GM engineering culture and principles.
You have:
Ph.D., M.S. in controls, optimization, path planning, or related. B.S. with strong work experience in the field may be considered
3+ years of experience in motion planning or related field
Deep understanding of optimal controls and trajectory optimization algorithms
Good grasp of classical and modern feedback control theory and techniques
Solid understanding of vehicle dynamics
A demonstrated track record of building high quality autonomous software systems
Deep expertise in Planning and Controls system design
Experience with C++/Python in a large, distributed development environment
Strong organizational and communication skills
Passion for self-driving technology and its potential impact on the world
Bonus points:
A background in robotics, ROS, or the AV/ADAS industry
Experience in numerical optimization algorithms
Experience designing software applications for safety critical systems
Experience building and managing engineering teams
Compensation :
The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of the California Bay Area.
The salary range for this role is $158,000.00 to $241,900.00. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.
Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.
Benefits:
Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.
This job may be eligible for relocation benefits.
#GM-AV-1
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.
]]>In this role you'll be leading advanced technical work focused on engine, transmission and battery structures in Advanced Structural Engineering team. We're seeking an engineer with a deep understanding of cylinder head, head gasket, block, transmission housing and structures and/or battery & body structures fundamentals. This person will engage with counterparts from combustion, thermal, Lubrication, cell, electrical as well as interface to architects and systems engineers for rest of the propulsion, body structures and safety teams.
As a General Motors Economics Summer Intern, you will support strategic decision-making by analyzing the global macroeconomy, United States and international automotive markets, and key public policy developments.
You will apply your economics training and coding skills to support economic modeling, develop digital tools for internal business partners, and prepare written analysis that translates complex data into clear insights for decision-makers. This is a hands-on, learning-focused opportunity for a graduate student seeking to deepen their understanding of applied macroeconomics and gain experience on an in-house economics team.
The General Motors Economics team is part of Global Planning and Customer Research. The team supports senior leaders across the company through data-driven analysis of the global economy and automotive industry.The team conducts applied economic research, develops industry forecasts, and analyzes public policy topics to inform General Motors’ business strategy, public policy engagement, and external communications. This internship offers the opportunity to learn applied economics in a real-world setting while working with the Chief Economist and other members of the economics team.
During the internship, you will:
Support analysis of topics such as global and United States economic growth, inflation, labor markets, and household balance sheets.
Analyze the outlook for the North American and global automotive industries.
Evaluate the potential effects of public policy changes on General Motors, the automotive industry, and customers.
Draft concise briefing materials that communicate key economic insights to nontechnical audiences across business units.
Help build digital tools that automate the distribution of analysis on key economic indicators and automotive industry metrics.
By the end of the internship, you will:
Gain practical experience applying macroeconomic theory and econometrics to real-world questions facing a global automaker.
Deepen your understanding of how economic conditions and public policies shape the automotive industry and manufacturing in the United States and abroad.
Strengthen your coding skills in R, Python, Stata, or similar tools, including documentation and reproducible analysis practices in a business setting.
Develop experience responsibly applying artificial intelligence tools in a corporate economics environment.
Learn to translate technical analysis into clear, actionable insights for senior leaders and non-economist audiences.
Build experience working in a cross-functional corporate environment.
Available to work full-time, 40 hours per week, during the 12 week Summer 2027 internship.
Currently pursuing a Masters or PhD degree in economics or a closely related field, with rigorous training in macroeconomics and econometrics.
Master student must be graduating between December 2027 - June 2029.
PhD student must be graduating between December 2027 -2033.
Experience using at least one of the following programming languages or tools for data analysis: R, Python, or Stata.
Strong written and verbal communication skills, with an ability to communicate clearly and tailor messages to different audiences.
Interest in the automotive industry, manufacturing, or industrial policy.
Commitment to learning, openness to feedback, and a collaborative, low-ego approach to teamwork.
Experience using EViews, MATLAB, or similar economic and statistical tools.
Familiarity with economic forecasting, applied macroeconomics, econometrics, or automotive industry analysis.
Experience developing data visualizations, automated reporting, or digital tools for business users.
Interest in the responsible use of artificial intelligence tools in a corporate economics setting.
Ability to translate technical analysis into clear, actionable insights for senior leaders and nontechnical audiences.
Experience collaborating with cross-functional teams, such as finance, vehicle forecasting, public policy, or international markets.
Start Date
Start dates for our 12 week, Summer 2027 internships are May 24th and June 14th of 2027
Hybrid: This role follows a hybrid work arrangement. The successful candidate is expected to report in person at least three days per week to either the Warren Technical Center in Warren, Michigan, or the General Motors Public Policy Office in Washington, D.C.
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.)
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:
At General Motors, our product teams are redefining mobility. Through a human-centered design process, we create vehicles and experiences that are designed not just to be seen, but to be felt. We’re turning today’s impossible into tomorrow’s standard —from breakthrough hardware and battery systems to intuitive design, intelligent software, and next-generation safety and entertainment features. Every day, our products move millions of people as we aim to make driving safer, smarter, and more connected, shaping the future of transportation on a global scale. Are you passionate about accelerating the future of autonomous driving? Join the Embodied AI team at General Motors. Our team is developing and deploying machine learning solutions that support safe and reliable autonomous vehicle behavior across real-world scenarios.
As a Senior AI/ML Future Sensing Engineer in the Embodied AI organization, you will develop and evaluate machine learning solutions contributing to future sensing architecture decisions and autonomous driving performance. You will contribute to designing and improving ML and perception models that support safe and reliable vehicle behavior across real-world scenarios, while helping connect sensing choices to measurable performance outcomes.
You will collaborate closely with senior engineers and cross-functional teams to translate research and technical concepts into production-ready or production-informing solutions while contributing to engineering best practices, technical analyses, and delivery execution.
What You’ll Do
Develop and improve AI/ML solutions aligned with GM’s autonomous driving and future sensing objectives
Apply techniques such as unsupervised pre-training, imitation learning, reinforcement learning, model scaling and selection, and foundation modeling to solve problems in object detection, tracking, classification, perception, and safe AI
Develop and evaluate perception models and components for sensing studies involving cameras, lidar, radar, and multi-modal sensor fusion
Implement and evaluate models, incorporating research advancements into practical applications
Contribute to model training, fine-tuning, validation, debugging, and performance optimization for perception and sensor-fusion tasks
Help define and implement robust metrics for detection, reconstruction, localization support, semantic labeling, and model robustness under varied environmental conditions
Work with real and synthetic data to evaluate sensing tradeoffs across weather, lighting, occlusion, sensor noise, clutter, and near-field versus long-range scenarios
Contribute to production pipelines and technical workflows spanning data loading, model evaluation, error analysis, and deployment-oriented support
Collaborate with cross-functional teams to integrate models and algorithms into onboard driving systems and future sensing evaluation workflows
Participate in code reviews, documentation, and technical discussions to support engineering quality and knowledge sharing.
Your Skills & Abilities
Bachelor’s or Master’s degree in Computer Science, Robotics, Machine Learning, Electrical Engineering, or a related field
Experience applying machine learning techniques to real-world systems or large-scale datasets
Experience building AI/ML or perception systems in autonomy, robotics, computer vision, or related domains
Proficiency in PyTorch and Python
Experience working with model training pipelines or large-scale data processing workflows
Strong data processing skills using tools such as NumPy, Pandas, and Apache Spark
Experience with model validation, debugging, and failure analysis in ML or perception settings
Experience with one or more perception domains such as object detection, segmentation, tracking, reconstruction, localization, or sensor fusion
Ability to collaborate effectively within cross-functional engineering teams.
Preferred Qualifications
Experience with perception sensors including cameras, radar, and lidar
Experience with multi-modal sensor fusion and system integration
Experience with production ML pipelines, model optimization, and performance tuning
Experience with simulation, synthetic data, or scenario-based evaluation
Experience with architecting sensory systems or contributing to sensor placement and configuration studies
Experience deploying ML models into production or working within production ML environments
Experience in automotive, robotics, or safety-critical ML applications.
Remote/Hybrid: This role is categorized as fully remote or hybrid.
Compensation:
The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of the California Bay Area.
Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.
Relocation: This job may be eligible for relocation benefits.
#LI-CX1
#GM-AV-1
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.
The AV Developer Productivity organization is responsible for delivering and maintaining the tools and services engineers in the GM Autonomous org use every day to do their best work and drive our cars forward. Tools and services we work on enhancing the entire development process — how/where code is checked out, modified, compiled, tested, merged, and eventually deployed. Our goal is to ensure our AV engineers and others here have world class tools and a seamless development experience so that they can focus on the problems that matter most in their domain.
The Role
We are looking for a Principal Engineer with an extensive engineering background, experience using a variety of developer tools and technologies, and who is passionate about developer productivity. As a leader on this team, we are looking for someone who cares deeply about the technical development of other engineers on the team and can effectively balance the needs and priorities of the business, our users, and the growth of our engineers.
This engineer will start delivering impact through observability frameworks and will evolve depending on business needs but they will be expected to identify high ROI investments with minimal guidance.
What You’ll Do (Responsibilities)
Using your software and systems engineering skills to contribute code, perform code reviews, and create technical designs that improve performance and reliability of observability systems.
Proactively identify and address challenges that create new opportunities to improve the state of engineering through observability.
Partnering with Software Engineering teams to better understand use-cases and guide the engineers to use the existing tools effectively.
Building tools to enable engineers to collect and act on observability signals from distributed cloud systems and on-vehicle sensors
Influence the team’s technical roadmap by evaluating new tools and technologies through PoCs and selecting roadmap investments that align with our team vision
Drive software engineering best practices both within your team and across the AV organization, and create tooling which encourages these
Guide the team to find the right balance between delivering impact and addressing technical debt
Mentor and grow engineers on the team and across the organization
Minimum Qualifications (Must-Have)
10+ years of experience or proven record of defining and executing technical strategy that required coordination across multiple teams, senior executives, and front-line engineers
Bachelors Degree in Computer Science or related field OR equivalent work experience
Experience driving consensus on a multi-functional effort using influence without authority
Experience in designing and implementing large scale systems
Considerable experience in working with container orchestration systems (eg. Kubernetes)
Proficient in designing and developing sophisticated distributed systems, with expertise in one or more high-level programming languages such as Go, Python, Rust, C/C++, NodeJS or equivalent
Considerable experience with Unix/Linux, SSH, and networking fundamentals
Effective collaboration skills and experience researching, documenting, communicating, and defending proposals and taking and giving critical feedback
Experience mentoring and growing junior engineers
Preferred Qualifications (Nice-to-Have)
Experience working with GCP, AWS, or Azure
Familiarity with Kubernetes, Docker, Istio, Terraform, Prometheus, Grafana, TSDBs and observability pipelines (e.g. either for logging or metrics or tracing)
Skilled in defining and instrumenting SLIs and SLOs
Own or contribute to Open Source projects
Passion for self-driving technology and its potential impact on the world
Compensation: The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of New York, Colorado, California, or Washington.
The salary range for this role: is $280,000 to $384,600. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.
Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.
Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.
Company Vehicle: Upon successful completion of a motor vehicle report review, you will be eligible to participate in a company vehicle evaluation program, through which you will be assigned a General Motors vehicle to drive and evaluate. Note: program participants are required to purchase/lease a qualifying GM vehicle every four years unless one of a limited number of exceptions applies.
]]>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.
]]>Vacancy Status:
This posting is for an existing vacancy within the organization and is open to new applications.
AI Disclosure:
As part of the application process, Artificial Intelligence will be used in the hiring process for this role
Work Arrangement: This opening is hybrid, the successful candidate is expected to report to the office - Markham Elevation Centre (MEC) three times per week, at minimum.
The Role:
This role is part of a group responsible for creating virtual in-the-loop environments to enable development, verification and validation of embedded controllers and calibrations for the Propulsion Thermal Management System domain.
The Software-in-the-Loop (SIL) Simulation Integration Engineers (SIE) are ultimately responsible to deliver a quality simulation environment on time to meet the customers’ requirements. This position requires an individual with a passion for modeling, an adept knowledge of system simulation and integration, and demonstrated capability for managing a wide variety of technical and customer needs.
What You'll Do (Responsibilities) :
Lead the development and integration of cosimulation components to satisfy the end user test requirements.
Create virtual controller models to be used across different simulations
Create, maintain and test virtual controller components such as HWIO, RTOS, communication models, etc.
Obtain, develop & parameterize sub-system models, such as sensors and actuators, and ECU behavioral models
Work with development engineers to understand new feature requirements, address issues, and ensure proper implementation
Work with System Engineers to define SIMBOMs (the required cosimulation assets) based on the test requirements.
Integrate Plant models and other ECU models into a dynamic virtual simulation
Create and maintain detailed documents for each release
Provide support for released simulations and assist with user testing and troubleshooting
Provide technical support and guidance to other team members
Ensure the cosimulation environments are delivered with quality
Support cloud deployments
Your Skills & Abilities (Qualifications):
Bachelor of Science degree in one of the following disciplines: Engineering, Computer Science or related fields
3-7 years of software engineering experience
Proficient in Embedded C and Python
Competent with embedded controls software and the automated software build processes including gcc compiler, gdb debugger, Eclipse, Jenkins and ETAS INCA tools
Adept experience with MATLAB and Simulink in context of plant model development and integration and basic usage of additional simulation tools (e.g. GT-Power, AMESIM, CarSim)
Proficient in automotive communication technologies such as CAN, LIN, SPI and automotive ethernet.
Familiar with FMU/FMI standards and SSP.
Familiar with AUTOSAR Layered Software Architecture.
What Can Give You A Competitive Edge ( Preferred Qualifications):
Master’s degree in a field of Engineering, Computer Science or related fields
5+ years of embedded software development experience
Experience in virtualization or software integration
Experience in designing and developing vehicle body controls, propulsion thermal, battery management, chassis and brake controls software
Compensation:
The salary range for this role is $115,000 to $164,600. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.
GM DOES NOT PROVIDE IMMIGRATION-RELATED SPONSORSHIP FOR THIS ROLE. DO NOT APPLY FOR THIS ROLE IF YOU WILL NEED GM IMMIGRATION SPONSORSHIP NOW OR IN THE FUTURE.
Benefits Overview
The goal of the General Motors of Canada total rewards program is to support the health and well-being of you and your family. Our comprehensive compensation plan currently includes the following benefits, in addition to many others:
Paid time off including vacation days, holidays, and supplemental benefits for pregnancy, parental and adoption leave;
Healthcare, dental, and vision benefits;
Life insurance plans to cover you and your family;
Company and matching contributions to a Defined Contribution Pension plan to help you save for retirement;
GM Vehicle Purchase Plan for you and your family.
By joining us, you will have the opportunity to support our Image Processing/LVM Controller Systems initiative and help deliver high-quality viewing experiences to our consumers. You will work with cutting-edge technologies, collaborate with talented teams, and help drive impactful projects that make a difference in the exciting field of camera and viewing experiences.
This is a senior quality engineering role, and we are looking for individuals who have demonstrated success in validating and maintaining large-scale, complex systems. Our engineers have a passion for quality, efficiency, and reliability to help us accelerate and innovate in this exciting and critical space. Our team believes in extreme ownership where we manage the scale, availability, and operations for our camera viewing features.
As a senior quality engineer, you’ll be partnering with teams across the Software and Services organization, including IVC/camera and calibrations, Test Automation/Jenkins, Bench, Lab, and Vehicle Automation, and Quality Defect Triage teams to identify dependencies, drive issues to closure, and provide the end-to-end validation deliverable.
A successful member of the Image Processing/LVM Controller Systems organization demonstrates customer focus, a drive for results, and the ability to work effectively through ambiguity, evolving requirements, and unclear definitions. You will influence change, take ownership of system-level test strategy across bench and vehicle environments, explore opportunities to add value to job responsibilities, and continue to develop critical skills and technical expertise.
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.)
]]>REQUIREMENTS: Bachelor's degree in Mechanical Engineering, Electrical Engineering, Mechatronics Engineering, Automotive Engineering, or related field of study and Two (2) years of experience as a Design Release Engineer, Design Engineer, Hardware Engineer, or related occupation. Two (2) years of experience with: Automotive product development, including exterior lighting systems and electronic module ownership through the full lifecycle (requirements, design, validation, launch, and production support); DFMEA, APQP, PPAP, and Engineering Change Management (ECM) for safety-/regulatory-relevant components and systems; CAD/PLM tools including NX, TeamCenter, and Vis Mockup for packaging, interface definition, and release of components and assemblies; Structured problem-solving methods including 8D and DFSS; Finite Element / structural analysis to support component robustness and manufacturability evaluations; and Application of GD&T and tolerance analysis for precision mechanical interfaces.
#LI-DNI
]]>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.
REQUIREMENTS: Bachelor’s degree, or equivalent, in Industrial Design, Vehicle Design and Development, or related field. Employer will accept one (1) year of related experience in lieu of one (1) year of education. Five years of experience as a Clay Sculptor, Fabricator, Hard Modeler, or related role. Five (5) years of experience with: Estimating timing requirements for GVDP model execution; Advanced clay sculpting and model execution; and Production/manufacturing process applicable to surface development including Die pull, Draft, Graining, Parting Line Gap, Flush, Formability requirements, and Vehicle packaging / integration requirements. Two (2) years of experience with: Office software including Excel, Power Point, and Word for creating presentations/communication documentation. **Education and Experience Requirement** Bachelor’s degree, or equivalent, in Industrial Design, Vehicle Design and Development, or related field, and Five (5) years of experience as a Clay Sculptor, Fabricator, Hard Modeler, or related role. Employer will accept one (1) year of related experience in lieu of one (1) year of education.
#LI-DNI
]]>Help teach our self-driving vehicles how to see and understand the world.
The Data Labeling Engineering team designs, builds, and operates hybrid human/machine data labeling tools and pipelines that power autonomous vehicle machine learning models within General Motors' AV organization . We operate in the intersection of software engineering , data engineering , and AI/ML , defining the strategies, tooling, and quality controls that create reliable training data at scale. Our tools and platform are used by thousands of users and consumers.
We own a modern full‑stack architecture including TypeScript/React, Python, GraphQL, Golang , and ML model services , which powers data‑annotation pipelines and machine‑led training data solutions at foundation ‑ model scale . We partner closely across AI/ML engineers , Product Operations , Product Management , Data Science , and other ML
Platform groups.
As an early-career Software Engineer on the Data Labeling Engineering team, you will build tools and services that help machine learning teams create high-quality training data for autonomous driving. Your work may span frontend experiences, backend services, data pipelines, machine learning integrations, and quality systems used by labelers, ML engineers, and operations teams.
This role is designed for a recent college graduate or engineer early in their career who wants to own meaningful pieces of a platform, grow their technical expertise, and work directly on systems that enable the next generation of AV capabilities. You will learn from experienced engineers while contributing to production systems and developing depth across frontend, backend, data, and ML-adjacent technologies.
Level up how ML teams work with data
Develop automation and tooling that give ML engineers deep insight into labeling workflows and data quality (e.g., efficiency dashboards, auto‑QA, autolabel review tools), reducing iteration time from idea to trained model.
Apply ML to labeling itself
Collaborate with ML engineers to design and integrate ML‑driven data annotation (pre‑labeling, autolabeling, active learning loops), helping us move from human‑only to machine‑led labeling at scale.
Build high ‑ impact labeling experiences
Design, implement, and test scalable, high‑performance user experiences and services using modern full‑stack and/or frontend technologies. You’ll ship features spanning multiple surface-areas that directly affect how quickly and accurately we can label data for new models and cities.
Champion AI ‑ assisted engineering
Use and advocate for modern AI‑powered development workflows (code assistants, automated documentation, test generation, etc.) to increase build-velocity while maintaining code and product quality.
Recently completed a bachelor’s, master’s, or PhD degree in Computer Science, Computer Engineering, Software Engineering, Artificial Intelligence, Machine Learning, or a related STEM field. For completed degrees, graduation must have occurred within the past 12 months.
Experience shipping software or features through internships, research, academic projects, or prior professional work.
Programming experience in one or more languages such as Python, TypeScript, JavaScript, Go, Java, or C++.
Familiarity with software fundamentals, including o bject-oriented design, design patterns, data structures, algorithms, API/interface design , and engineering best practices.
Strong communication and collaboration skills; you can explain tradeoffs, influence peers, and work through ambiguity with cross‑functional partners.
Interest in autonomous vehicles, robotics, machine learning, data-centric AI, or developer and ML platform technologies.
Degree completed between May 2025 and August 2026, with availability to begin employment in 2026.
Hands-on experience leveraging AI tools (agentic workflows, knowledge acquisition, documentation generation, operational triage, etc) to accelerate understanding, implementation, debugging, and delivery of new capabilities.
Proficiency in writing and reviewing high‑quality, scalable, and performant full-stack code using technologies and languages like Python, TypeScript, Go, React, SQL, Redux, gRPC, GraphQL, WebGL, etc .
Solid understanding of scalable software system design including data modeling and API/interface design.
Strong fundamentals in object ‑ oriented design and design patterns , data structures , algorithms , and engineering best practices (TDD, code quality, observability, CI/CD).
Driven to learn new technologies and deepen your expertise across frontend, backend, and data/ML‑adjacent systems.
Empathetic to user challenges (from labelers to ML engineers to Ops) and excited to turn messy workflows into simple, intuitive tools .
Hybrid: This role is categorized as hybrid. This means the successful candidate is expected to report to our Suynnvale , CA office three times per week, at minimum.
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 $125,000 to $165,000. 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.
About the Team
The AV Launch team builds the software foundation that brings GM’s autonomous driving capabilities to life on the vehicle. We configure, deploy, launch, and monitor the applications that make up the autonomy stack, developing onboard services that orchestrate vehicle activities from startup through shutdown.
We are part of GM’s Autonomous Vehicle Platform Core team, delivering the core software frameworks that enable other teams and major vehicle systems. We own critical platform capabilities that include software deployment, application configuration and lifecycle management, vehicle power and software modes, and observability systems.
Our systems span embedded vehicle platforms, manufacturing lines, developer infrastructure, cloud services, and simulation. We support internal data collection fleets and production vehicles, and partner closely with platform teams and autonomy developers to solve complex problems.
About the Role
As an early career Software Engineer on the AV Launch team, you will design, implement, test, and operate the services that reliably manage autonomous driving software on GM vehicles. You will work across the software lifecycle: from understanding requirements and defining platform behavior to building production-quality services, integrating with vehicle hardware, validating behavior on benches and vehicles, and diagnosing issues in real-world environments.
This role is designed for a recent graduate or engineer early in their career who wants to build depth in embedded systems, distributed software, vehicle platforms, and autonomous driving technology. You will learn from experienced engineers while contributing meaningful code to systems that must be dependable, observable, and maintainable.
You will develop a systems-level perspective as you learn how individual services, devices, and vehicle states interact. Over time, you will turn that understanding into clear abstractions and design guidance that inform how other developers build vehicle software.
What You’ll Do
Build on-vehicle services that provision, launch, and monitor autonomous vehicle software in development and production workflows.
Build frameworks to configure autonomy software for a wide variety of hardware platforms, simulation environments, and use cases.
Develop systems and frameworks to monitor vehicle status and reliability.
Work alongside experienced engineers to ramp up on AV software, embedded systems, and the production engineering practices required to support autonomous driving at scale.
Grow through progressively more complex assignments spanning design, implementation, integration, and testing.
Required Qualifications
Recently completed a bachelor’s, master’s, or PhD degree in a STEM field. For completed degrees, graduation must have occurred within the past 9 months.
Strong background in C++ and Python development, demonstrated through coursework, internships, research, or substantial projects.
Experience developing in a Linux environment.
Strong grasp of software fundamentals including data structures, algorithms, operating systems, concurrency, and computer architecture.
Ability to debug complex software problems, reason about system behavior, and communicate clearly in a collaborative team environment.
Interest in autonomous vehicles, robotics, embedded systems, or high-performance software.
Preferred Qualifications
This role is categorized as on-site. This means the successful candidate is expected to report to HQ Building in Shanghai, China full time.
The Role -
The Communications team at General Motors focuses on impact and driving transformation through storytelling. We engage with media, employees, influencers, stakeholders and consumers to amplify our company’s reputation and our products and services. We are broad thinkers, team-first and subject matter experts in our field. We collaborate across the business, lead with insights and always ask how we can use communications to add value to the enterprise.
We are looking for a product & technology communicator that will be specialized in storytelling for GM’s vehicles, brand identity and technological advancements in China, spanning internal and external communications. This role will help shape how GM’s products and innovation are understood by key audiences, with a focus on vehicle launches, product positioning and integrated brand narratives. The successful candidate will partner closely with cross-functional teams to translate product and technology advancements into clear, compelling and differentiated communications strategies and content.
Covers communications about vehicle launches, product positioning, and brand campaigns.
Develops narratives for EV, ICE, AV, and software innovations.
Works closely with engineering, design, and marketing teams to translate product advancements into compelling internal/external messaging.
Engages with media, employees, influencers, stakeholders, and consumers to amplify product differentiation and brand reputation.
Develops external thought leadership and public affairs strategies for executives (e.g., S&S, Brand, and Engineering Executives).
Expertise
Takes broad challenges and, through independent professionally developed analysis, identifies and analyses options, and breaks them down into initiatives capable of implementation.
Identifies opportunities and proposes solutions to improve internal processes, services, and structures to support functional strategies.
Uses advanced analytical and problem-solving techniques to resolve a wide range of non-standard problems.
Works independently; receives minimal guidance. Acts as a resource for colleagues with less experience.
Complexity
Identifies and devises solutions based on limited information and precedent. Uses evaluation and judgement to solve problems that are new to the organization and require a deep level of experience and strategic thought to create a solution.
Enhances relationships and networks with senior internal/external partners who are not familiar with subject matter and often require persuasion. Uses data and analysis to demonstrate the value of a project, anticipating, and addressing objections and or concerns.
Often effects change in broader functional area without direct exercise of command, using persuasion in situations where reaching agreement may be hindered by differing opinions, past practices, or experiences.
Impact
Challenges and problems are of a diverse scope with multiple moving parts, where developing a plan and viewing the whole picture is a significant challenge itself. Work is done independently and is reviewed at critical points.
Owns the development and delivery of solutions, driving cross team and group efforts. Leads by example, taking responsibility for their own actions, acknowledging mistakes, and holding themselves accountable for achieving goals. Addresses and evaluates a diverse range of issues using innovative methods and proposing alternative approaches.
Serves as a mentor to more junior level employees, providing coaching and guidance on difficult issues.
Has significant operational impact across their function.
Your Skills & Abilities (Required Qualifications)
Competencies:
Storytelling
Data Judgment
Content Creation
Customer Orientation
Results Focused
Stakeholder Orientation
Timely Problem Solving
Skills
Journalism
Social Engagement
Cross-Functional Work
Integrated Marketing Communications
Communication Strategy Development
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
REQUIREMENTS : Bachelor's degree in Mechanical Engineering, Embedded Systems, Electrical Engineering, Computer Science or related field of study. Seven (7) years of experience as a Software Architect, Lead Software Engineer, Senior Software Engineer, Technical Lead, or related occupation. OR Master's degree in Mechanical Engineering, Embedded Systems, Electrical Engineering, Computer Science or related field of study. Five (5) years of experience as a Software Architect, Lead Software Engineer, Senior Software Engineer, Technical Lead, or related occupation. Five (5) years of experience in the following: Real-time embedded software system including controller hardware design sensor and actuator design algorithm design software development calibration integration testing and validation electrical architecture design; and Troubleshooting software and embedded controls issues. Three (3) years of experience in the following: Project management skills including automotive product lifecycle; AUTOSAR software constructs and Implementation; and Vehicle architecture and Software Driven Vehicle concept.
#LI-DNI
]]>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.
]]> This internship offers the opportunity to work on high-impact initiatives supporting some of GM’s most important business and government customers. You will gain hands-on experience in sales operations, forecasting, order management, product strategy, and business analytics while working alongside experienced professionals across the enterprise.
The GM Fleet team supports some of GM’s most important commercial and government customers by connecting customer needs with the vehicles, products, and services that keep their businesses moving. Our work spans sales operations, demand forecasting, order management, product strategy, and business analytics—helping translate market and customer insights into clear plans and strong execution. As part of this collaborative, cross-functional team, interns work alongside experienced professionals across the enterprise to solve real business problems, improve visibility into fleet demand, and help shape the future of GM’s fleet business.
As a GM Sales Operations Intern, you will play a key role in supporting enterprise-level strategic initiatives across our fleet and rental business.
Start Date
Work Location
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.)
]]>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.
]]>GM Defense delivers integrated vehicles, power and propulsion, and autonomy and connectivity solutions for global defense, security, and government customers. By leveraging GM’s advanced commercial vehicle platforms, engineering expertise, and large-scale manufacturing, GM Defense rapidly adapts proven technologies into military-grade, mission-ready solutions that help customers improve mobility, readiness, and sustainment while managing cost and complexity.
System engineering is a multidisciplinary organization chartered with pulling together the highly complex and interconnected system that is the modern-day vehicle and related products. It transcends the physical nature of any specific design, cutting across traditional engineering disciplines to enable customer-focused execution of vehicle-level features.
The Lead System Engineer is a people leader and technical expert role responsible for leading Systems Engineers in the definition and roll-down of system requirements, alignment of subsystem interfaces, and execution of verification planning to ensure the total product meets mission and program objectives. In this role, the Lead System Engineer provides system-level technical leadership across the product, integrating engineering inputs into a cohesive requirements-driven solution while ensuring safety, performance, timing, cost, and manufacturability targets are supported. Requirements and engineering inputs for this role may come directly from the customer as well as indirectly through the GMD business development team. AI-enabled tools are expected to be used in the development, refinement, and management of requirements, and the role is responsible for building team capability through required AI training and adoption of effective engineering practices.
What You’ll Do
Lead a team of Systems Engineers in development, decomposition, and roll-down of system requirements across the product
Ensure subsystem requirements, interfaces, and verification plans are aligned to overall mission and program objectives
Drive system-level integration across engineering disciplines to deliver a cohesive and executable product definition
Lead cross-functional collaboration to ensure requirements support safety, performance, cost, timing, manufacturability, and validation objectives
Oversee interface definition, requirements traceability, and verification planning across systems and subsystems
Create System DFMEA and ensure system failure modes are understood, documented, and addressed through the design process
Participate in Fault Tree Analysis and support development of the technical understanding needed to identify risk drivers and mitigation paths
Collaborate on the V&V plan across mechanical, electrical, and controls domains to ensure the system is validated against requirements and intended performance
Lead the integration and issue resolution of the system through the full development cycle
Work with subsystem and component teams to optimize system design and improve total system performance
Set availability targets, allocate them to subsystems and components, determine feature sensitivity to variation and failure modes, and define mitigation plans to improve performance to target
Stay abreast of new technology, new processes, and new methods used to predict and improve availability
Apply AI-enabled tools to improve the quality, speed, consistency, and traceability of requirements development
Ensure the team receives required AI training and adopts AI tools and methods effectively within the systems engineering process
Identify technical and integration risks early and lead resolution of cross-system issues that could impact program execution
Support development of a scalable system architecture and requirements framework that can be successfully executed through development and launch
Your Skills & Abilities (Required Qualifications)
BSE, BS in Mechanical Engineering, Electrical Engineering, Systems Engineering, or equivalent experience
10+ years professional experience in systems engineering, requirements development, product integration, or equivalent technical roles
5+ years of systems engineering experience within the defense industry, supporting the development, integration, and verification of complex defense systems
Demonstrates effective interpersonal and communication skills to collaborate successfully with cross-functional teams, customers, and business development partners
Strong understanding of engineering theory and principles of operation of mechanical, electrical, controls, and integrated vehicle systems
Proven ability to lead multidisciplinary teams in requirements development, interface alignment, integration, and technical issue resolution
Demonstrated ability to develop and execute System DFMEA, participate in Fault Tree Analysis, and collaborate on verification and validation planning
Strong analytical ability to translate customer and product objectives into executable system requirements, availability targets, and mitigation plans
Demonstrated technical and professional skills in systems engineering, including requirements management, traceability, risk identification, and cross-functional decision-making
Ability to apply AI-enabled tools and methods to improve requirements quality, speed, consistency, and traceability while building team capability through effective adoption practices
Candidate must be a U.S. Person (U.S. citizen, U.S. permanent resident, asylee or refugee).
Company Vehicle : Upon successful completion of a motor vehicle report review, you will be eligible to participate in a company vehicle evaluation program, through which you will be assigned a General Motors vehicle to drive and evaluate. Note: program participants are required to purchase/lease a qualifying GM vehicle every four years unless one of a limited number of exceptions applies.
#GMD
]]>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.
]]>Preferred Experience Includes:
Primary Responsibilities:
Interested individuals must meet the following minimum qualifications:
Physical Requirements
Please note – per the labor agreement between GM and the UAW, GM may share information and documentation relating to the credentials of applicants for this position (e.g., resumes, journeyperson cards, interview notes, certificates, etc.) with UAW personnel who have a need to know as part of their role on the UAW skilled trades team.
]]>The Senior Global Commodity Manager is responsible for conducting purchasing activities to support sourcing, contract and supplier management activities in line with departmental strategy and objectives. As a leader, you will provide technical guidance to the team for successful execution of commodity strategies for our indirect or direct commodities as well as lead the development of new products, processes, standards, or operational plans. You will also be responsible for leading a team, fostering employee development and training, driving performance management, and maintaining an efficient organizational structure.
What You’ll Do
Develop and execute a comprehensive Business Plan and commodity strategy
Lead business plan/tactics to reach overall global targets on a day-to-day basis
Lead global teams in all regions in developing commodity strategies and sourcing recommendations for specified commodity, considering regional specifics this also includes early Supplier Engagement and Strategic Sourcing
Oversee, monitor and coach employees in different locations and build effective global team
Collaborate with Engineering, Logistics, Supply Chain, Manufacturing, Legal, Corporate Development and other internal partners to develop procurement strategies, clarify prerequisites and to drive cost reduction
Analyze and apply appropriate tools, i.e. cost models, benchmarking, global competitive sourcing, value chain analysis, supplier negotiations, engineering change cost containment, technical cost reduction, part/system reuse, etc.
Responsible for managing the overall procurement activities, development of sourcing strategy, negotiation of contracts and execution of budget from cradle to grave
Develop and execute capacity assessment of components to match GM demand with supplier capacity, with a focus on compliance requirements (FTAs, IRA, as applicable)
Provide technical and business process guidance to the team for successful execution of programs
Lead on the development of new products, processes, standards, or operational plans.
Support for the organization's business strategies with a direct impact on business and function overall results.
Lead Supplier relationships and operational Issues
Your Skills & Abilities (Required Qualifications)
Bachelor’s Degree
10+ years of experience in global purchasing or procurement
Proven track record of directly leading teams with a minimum of 4-5 people, driving results, and personal accountability with oneself and team
Demonstrated Negotiation, Supplier Management, Team Orientation, Informative Communication and Analytical Thinking Skills
Strategic Orientation, willingness to learn, adapt & be agile, comfort in challenging norms, dealing with ambiguity
Strong interpersonal skills with demonstrated ability to lead diverse/cross-functional teams as well as mentor, motivate and elicit work output from peers and other team members
Ability to travel 10-20% of the time Domestically + Internationally
What Will Give You a Competitive Edge (Preferred Qualifications)
Experience Developing and Negotiating Contracts
Knowledge of SAP
Developed skillset with respect to data management tools: Power BI, Excel, TMS, AI, etc.
Finance and Cost Engineering experience
Strategic planning and execution
Negotiation skills
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:
GM DOES NOT PROVIDE IMMIGRATION-RELATED SPONSORSHIP FOR THIS ROLE. DO NOT APPLY FOR THIS ROLE IF YOU WILL NEED GM IMMIGRATION SPONSORSHIP (e.g., H-1B, TN, STEM OPT, etc.) NOW OR IN THE FUTURE.
Onsite: This role is categorized as onsite. This means the successful candidate is expected to report to Orion, MI on a full-time basis.
The Role:
As a Material Systems Coordinator – Inventory & Material Flow you will be responsible for our Plan for Every Part (PFEP) and Visual & Buffer Inventory Management System. (VBIMS) Here you’ll be responsible for the visual management system that calculates supply banks and min/max for every part, Production Pull System & Electronic Pull System data management as well as analyzing data and modifying banking strategies to achieve inventory targets. You’ll be creating reports and queries as required to enable buffer management and Plan for Every Part (PFEP) processes. This position is responsible for executing deliverables in support of the supply chain’s organization’s business objectives.
What You'll Do:
Required Qualifications:
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.
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 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.
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 on NIGHT SHIFT . This means the successful candidate is expected to report to the GM Philippines office three times per week or as dictated by business needs.
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)
What you’ll be doing (Responsibilities)
Y our Skills & Abilities (Required Qualifications)
What Will Give You A Competitive Edge (Preferred Qualifications)
Compensation: The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of New York, Colorado, California, or Washington.
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:
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 Dublin 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.
]]>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
The Body Maintenance Planner coordinates and prepares maintenance work so body department equipment and facilities can operate safely, reliably, and efficiently. This role develops job plans, schedules planned work, improves preventive-maintenance effectiveness, coordinates parts and resources, and supports maintenance leadership with accurate work-order information and performance reporting.
The planner works closely with maintenance group leaders, skilled trades, operations, manufacturing engineering, safety, quality, purchasing, stores, suppliers, and contractors. The role helps convert equipment needs into executable work that improves safety, uptime, throughput, quality, cost, and environmental performance.
What You’ll Do
Review maintenance requests, equipment issues, inspection findings, and preventive-maintenance requirements for the body department.
Develop complete work packages that define the scope, sequence, labor requirements, skills, tools, materials, permits, safety controls, and estimated duration for planned work.
Create, update, and monitor work orders, job plans, preventive-maintenance tasks, routes, and equipment records in the computerized maintenance-management system.
Prioritize maintenance work with department leadership based on safety, regulatory requirements, equipment criticality, production impact, quality risk, and available resources.
Coordinate daily and weekly maintenance planning with maintenance group leaders, skilled trades, operations, manufacturing engineering, and other affected departments.
Plan shutdown, weekend, outage, and major repair activities, including work sequencing, contractor coordination, material readiness, and schedule tracking.
Confirm that required parts, tools, equipment, drawings, procedures, permits, and technical support are available before work is scheduled.
Partner with stores and purchasing to identify replacement parts, establish appropriate stocking levels, resolve material shortages, and support point-of-use availability.
Review equipment history, recurring failures, backlog, downtime, preventive-maintenance compliance, and other maintenance data to identify improvement opportunities.
Support root-cause investigations and develop corrective actions that reduce repeat failures and improve equipment reliability.
Coordinate with suppliers and contractors on estimates, scope, site access, safety requirements, work execution, and closeout documentation.
Support maintenance work involving body process equipment, conveyors, robots, pumps, vision systems, fans, sealer, material systems, utilities, controls, and environmental equipment.
Verify that completed work orders contain accurate labor, parts, failure information, follow-up actions, and technical documentation.
Maintain current equipment records, bills of material, preventive-maintenance procedures, inspection routes, drawings, manuals, and maintenance standards.
Participate in maintenance priority meetings, shutdown reviews, equipment buyoffs, reliability reviews, and continuous-improvement activities.
Support safe work planning, including lockout, energy-control requirements, confined-space or hot-work planning when applicable, pre-task planning, and required permits.
Prepare and communicate maintenance schedules, backlog reports, project updates, risks, and completion status to department leadership.
Help develop and maintain standardized work for maintenance planning and improve the quality, timeliness, and execution of planned work.
Your Skills & Abilities (Required Qualifications)
Experience in maintenance, maintenance planning, scheduling, manufacturing engineering, facilities, or industrial operations.
Working knowledge of preventive maintenance, predictive maintenance, corrective maintenance, work-order management, and equipment reliability practices.
Ability to develop clear job plans and estimate labor, materials, tools, equipment, and work duration.
Experience using a computerized maintenance-management system or comparable work-order system.
Ability to read and interpret equipment manuals, maintenance procedures, technical drawings, electrical schematics, and bills of material.
Strong organization, prioritization, communication, and follow-through skills.
Ability to work effectively with skilled trades, maintenance leadership, production, engineering, suppliers, and contractors.
Commitment to safe work practices, environmental compliance, and continuous improvement.
Ability to work occasional off-shift, weekend, shutdown, and extended hours as needed to support the planning and coordination of major maintenance activities, equipment repairs, contractor work, and production support requirements.
What Will Give You a Competitive Edge (Preferred Qualifications)
Associate or bachelor’s degree in engineering, maintenance, manufacturing, industrial technology, or a related field is preferred.
Experience in an automotive manufacturing or body shop environment.
Experience planning maintenance for conveyors, pumps, motors, drives, robots, process systems, utilities, or environmental equipment.
Experience with Maximo or another computerized maintenance-management system, including work-order reporting, job plans, preventive-maintenance schedules, asset records, and bills of material.
Knowledge of maintenance shutdown planning, contractor management, equipment buyoffs, and production-support activities.
Familiarity with reliability-centered maintenance, total productive maintenance, failure-mode analysis, root-cause problem solving, and lean manufacturing.
Knowledge of lockout, energy-control requirements, pre-task planning, hazard recognition, and plant safety systems.
Experience using Microsoft Office, maintenance reporting tools, equipment history, downtime data, or dashboard applications.
Technical experience with mechanical, electrical, controls, pipefitting, millwright, or industrial equipment systems.
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
]]>This job may be eligible for relocation benefits.
Onsite: This role is categorized as onsite. This means the successful candidate is expected to report at the listed location on a full-time basis.
The Role:
Enter into a Press Manufacturing Engineer Development Program for 2 years to prepare for the position of Press Manufacturing Engineer. In this 2-year development program you will learn the mechanics of our presses and how to maintain / repair them. You will then lead team members & group leaders to maintain & repair the presses as well as improve the equipment & processes with innovative ideas. In this role, you will work to optimize the safety & quality of maintaining our presses to maintain & improve performance and reliability of our equipment.
This role is planned to be predominately a day shift role, but in times of need for equipment repairs, training others or assisting with management of people on other shifts will be required at times. The position will require long hours mainly in the times of equipment failures to repair the equipment.
You will partner closely with plant trades people, plant leaders, headquarters press engineering group, suppliers, & controls engineers to problems solve, find improved solutions & implement read across solutions from other facilities. This role requires strong technical judgment, hands-on problem solving.
What You’ll Do:
Required Qualifications:
Preferred Qualifications:
We are seeking a Design Release Engineer to support the design, development, release, integration, and lifecycle management of suspension components and systems. This role supports suspension solutions that meet vehicle targets for ride, handling, durability, NVH, packaging, cost, quality, timing, and customer expectations.
Support the design and release of assigned suspension components and systems from concept through production.
Translate vehicle objectives into component and system requirements, including performance, durability, load, operating, packaging, and tuning requirements.
Develop and maintain designs, 3D models, drawings, specifications, bills of material, design records, and engineering changes.
Collaborate with Vehicle Dynamics, Chassis, Structures, Controls, Manufacturing, Quality, Purchasing, suppliers, and program teams.
Support component, subsystem, and vehicle-level testing, including K&C, rig, durability, and vehicle evaluations.
Analyze test and development issues, identify root causes, and support corrective actions and design updates.
Support supplier technical reviews, design decisions, issue resolution, and launch readiness.
Maintain DFMEAs, DVP&Rs, requirements, BOMs, and issue-tracking documentation.
Manage assigned deliverables and support program timing, cost, quality, performance, and launch objectives.
Bachelor’s degree in Mechanical Engineering, Automotive Engineering, or a related discipline.
Three or more years of experience in vehicle suspension design, development, testing, or release.
Experience supporting the design and release of suspension components or systems.
Working knowledge of suspension design, vehicle dynamics, K&C, durability, NVH, spring and damper matching, load management, and component interfaces.
Experience with engineering drawings, 3D models, specifications, BOMs, DFMEAs, DVP&Rs, and test-data analysis.
Ability to resolve technical issues, manage assigned work, and meet timing, cost, quality, and performance objectives.
Strong collaboration and technical communication skills.
Experience with suspension hardware for trucks, SUVs, or other high-load vehicles.
Experience with towing, hauling, off-road, performance, or track-focused programs.
Experience supporting components through validation, production launch, and lifecycle support.
Exposure to electronically controlled suspension or chassis control systems.
Experience with supplier development, manufacturing feasibility, cost optimization, or launch activities.
Master’s degree in a related engineering discipline.
The Sr. Electrical Engineer establishes electrical requirements and review strategies, interprets applicable codes and GM standards, evaluates designs and technical risks, and supports project teams across multiple delivery models. The role helps teams make safe, reliable, code-compliant, cost-effective, resilient, maintainable, and sustainable decisions while coordinating with project leaders, planners, architects and engineers, contractors, operations, utilities, safety, procurement, authorities having jurisdiction, and other stakeholders.
Relocation: This role is NOT eligible for relocation benefits.
GM DOES NOT PROVIDE IMMIGRATION-RELATED SPONSORSHIP FOR THIS ROLE. DO NOT APPLY FOR THIS ROLE IF YOU WILL NEED GM IMMIGRATION SPONSORSHIP NOW OR IN THE FUTURE. THIS INCLUDES DIRECT COMPANY SPONSORSHIP, ENTRY OF GM AS THE IMMIGRATION EMPLOYER OF RECORD ON A GOVERNMENT FORM, AND ANY WORK AUTHORIZATION REQUIRING A WRITTEN SUBMISSION OR OTHER IMMIGRATION SUPPORT FROM THE COMPANY (e.g., H-1B, OPT, STEM OPT, CPT, TN, J-1, etc.)
]]>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
Do you enjoy creating unique, highly technical engineering solutions to solve unusual challenges? Are you curious about how vehicle design becomes reality from the earliest stages of development? The Compartment Integration Design Engineer is responsible for integrating and balancing engineering requirements in partnership with Architecture, Studio, SMT, Performance, Human Factors, Manufacturing, and other cross-functional teams. This role works at the earliest stages of vehicle development to create innovative package solutions that enable design, meet program imperatives, and deliver strong customer outcomes. The ideal candidate has a passion for the automotive industry, strong system-thinking capability, and the ability to objectively balance customer needs, design intent, engineering feasibility, timing, and manufacturing requirements. This role requires creativity, initiative, and a high level of independent judgment.
What You’ll Do (Responsibilities)
Your Skills & Abilities ( Required Qualifications)
What Can Give You a Competitive Edge (Preferred Qualifications)
#LI-KM2
]]>A General Supervisor leads the operational function of a warehouse processing center or distribution center and is accountable for safe, reliable, and customer-focused warehousing activities. You will direct daily operations on an assigned shift and lead salaried and hourly employees who support accurate, timely, and high-quality customer shipments. You will establish expectations, remove operational barriers, reinforce safe work practices, and partner with employees, union representatives, site leadership, and business partners to deliver performance in a fast-paced processing-center environment. The role requires sound judgment and initiative to make decisions with limited guidance while keeping site leadership informed of significant risks, issues, and performance trends.
What You’ll Do
Your Skills & Abilities (Required Qualifications)
What Can Give You a Competitive Advantage (Preferred Qualifications)
Responsabilidades:
Armado de Libro diario
Armado Libro inventario y balances
Conciliaciones de cuentas
Asientos contables en el cierre
Requisitos:
Estudiante avanzado (+60%) de la carrera de CONTADOR PÚBLICO.
Office: Nivel intermedio.
Inglés: Nivel intermedio.
Disponibilidad para trabajar de forma híbrida en nuestro Complejo Automotor Chevrolet ubicado en Alvear, Santa Fé, Argentina.
Horario: Part Time (20 horas semanales) en turno mañana o turno tarde.
Conocimientos deseables:
Idioma Portugués.
Herramientas de automatización: Power BI / Knime
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:
Our Infotainment team is hiring a software engineer to design and develop software in our Android based Infotainment system. You'll be part of a team working on cutting-edge software solutions including the Software-Defined Vehicle solutions on shipping the latest in vehicle experience to our customers.
What You'll Do
GM is developing a breakthrough in the new Software Defined Vehicles, 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.
Key Responsibilities:
Required Qualifications:
Preferred Skills:
NOTE- YOU MUST BE ENROLLED IN A CO-OP PROGRAM AND MEET THE PROGRAM’S ELIGIBILITY REQUIREMENTS. ALL STUDENTS MUST ALSO BE LEGALLY ENTITLED TO WORK IN CANADA.
The monthly salary range for this role is $4,264.00 to $4784.00. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.
Sponsorship : PLEASE ONLY APPLY IF YOU DO NOT NEED SPONSORSHIP TO WORK IN CANADA NOW OR IN THE FUTURE. WE ARE UNABLE TO CONSIDER CANDIDATES WHO REQUIRE SPONSORSHIP
Accommodation is available for applicants with disabilities. Should you be contacted by General Motors of Canada Company, please advise if you require accommodation.
For more information about GM Canada, visit our website at www.gm.ca/careers
General Motors of Canada values diversity and is an equal opportunity employer
The 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
]]>In this role, you will lead a team of Controls Engineers for the development, implementation, troubleshooting, and continuous improvement of industrial controls systems supporting GM Bedford’s casting operations. You will partner with manufacturing engineering, maintenance, operations, quality, IT, suppliers, and plant leadership to improve safety, quality, delivery, cost, throughput, and equipment reliability.
You will lead a team to solve diverse, non-standard problems; develop practical solutions with limited precedent; and influence decisions across the plant through technical expertise, data, and collaboration.
Provide technical support and direction for controls, automation, IT, maintenance, and skilled-trades partners.
Lead troubleshooting and root-cause analysis for PLC, HMI, drive, network, safety, and equipment-control issues; follow actions through closure.
Lead controls planning and execution for die-casting, machining, melting, material handling, and plant improvement projects.
Review and guide hardware designs, software changes, controls architecture, testing, commissioning, buyoff, and documentation.
Coordinate with area manufacturing engineers on process changes, equipment planning, model change, throughput, sourcing, and project timing.
Develop project scopes, schedules, cost estimates, investment forecasts, business cases, appropriation requests, and execution plans.
Support Device Level Analytics and related plant digital initiatives through PLC configuration, device onboarding, data validation, health checks, and training.
Apply GM controls, electrical, safety, lockout, ESWP, and equipment buyoff standards; ensure safe work practices are the highest priority.
Use data and statistical problem-solving methods to improve equipment availability, cycle time, quality, capacity, and cost.
Maintain effective working relationships with plant leadership, hourly employees, union partners, suppliers, contractors, and technical organizations.
Lead a team of controls engineers and share lessons learned, standards, and best practices across the Bedford controls team.
Required Qualifications
Bachelor’s degree in Electrical Engineering, Mechanical Engineering, Computer Engineering, Robotics, or a related technical field, or equivalent hands-on technical experience.
5+ years of experience in controls engineering, automation engineering, robotics engineering, or manufacturing systems integration.
Strong knowledge of industrial control systems and the ability to apply that knowledge in a manufacturing or production environment.
Experience with PLC and HMI programming, industrial networking, and controls system troubleshooting.
Strong analytical, problem-solving, and communication skills.
Preferred Qualifications
Demonstrated technical leadership experience integrating or supporting robotics, automated equipment, or advanced manufacturing systems.
Experience supporting equipment buyoff, installation, launch, commissioning, and production startup.
Experience with Allen-Bradley, Siemens, industrial Ethernet, and related plant-floor communication interfaces.
Experience with machine vision, vision-guided robotics, automated inspection, or error-proofing systems.
Experience influencing technical decisions, leading others, and driving improvements beyond an immediate assignment area.
Familiarity with manufacturing safety systems and safe automation design practices.
Experience working directly with suppliers, system integrators, and cross-functional plant teams.
The Role
At General Motors, we empower Product Managers to solve challenging customer and business problems. We seek passionate and innovative team members who can collaborate effectively within product management, program management, design, and engineering teams to discover and deliver impactful solutions. We hold our teams accountable for results and seek leaders who can influence teammates, stakeholders, and executives using data and logic.
As the Staff Product Manager for AV capabilities, you will be the product leader responsible for shaping and executing the strategy, roadmap, and success metrics for specific autonomy capabilities and the underlying autonomy platform that will be deployed in GM’s next generation AV products . In this role, you will work closely with Embodied AI, Systems Engineering, Consumer and platform partners to translate GM’s product strategy into high-impact capability outcomes, ensuring delivery at scale, quality, and pace need to meet the product milestones. Success requires strong technical judgment, principled decision-making, and the ability to build alignment across engineering, infrastructure, and other cross functional teams. You should be comfortable navigating ambiguity, making tough tradeoffs, and translating business needs into engineering priorities.
What You’ll Do
Own the product vision and roadmap for specific AV Capabilities and the underlying autonomy platoform for GM’s next generation autonomy products, balancing engineering constraints, business needs, and internal platform dependencies.
Communicate roadmaps, priorities, experiments, and decisions clearly across a wide spectrum of audiences from internal customers to executives.
Synthesize technical and analytical insights into PRDs and requirements that provide engineers and partners with a clear understanding of what to do and why.
Lead executives and key partners through sophisticated decisions to drive progress toward our strategic goals.
Partner closely with Engineering, Program management, Data Science, Commercial operations, Systems Engineering and Consumer Product to define goals and the roadmap needed to reach them.
Identify and lead improvements to the team's innovation and approach enabling us to scale our team and impact.
Exemplify outstanding product development and management practices in everything you touch.
Define, track, and analyze key product metrics and performance data to measure success and identify improvement areas.
Stay updated on new technology and competitive products to drive continuous improvement, anticipate threats, and identify risks
Your Skills & Abilities (Required Qualifications)
5+ years of product management or related industry experience.
Bachelor's degree in Engineering or related fields
Proven experience with technical product management and leading the entire product lifecycle from concept to introduction.
Strong analytical skills with the ability to derive actionable insights from complex data.
Excellent presentation abilities to drive a concrete vision and rally the team.
Technical proficiency in problem-solving with complex software solutions
Experience defining vision and strategy for robotics or autonomy software products
Exceptional communication and leadership skills, with the ability to drive stakeholder buy-in.
Proven oral and written communication skills; ability to become fluent in technical concepts and explain to non-technical partners
Comfortable with complex and ambiguous problems and situations, and adept at identifying a project’s risks
Enthusiastic and resilient in a constantly evolving environment where creative solutions are the norm.
What Will Give You a Competitive Edge (Preferred Qualifications)
MBA or Masters in related technical fields
Experience working on Autonomous Vehicle (AV) teams on ML/AI models .
Experience fostering innovation and driving change in complex organizations
Experience shipping hardware or AI driven consumer products
Hybrid: This role is categorized as hybrid. This means the successful candidate is expected to report to the Warren, MI or Mountain View, CA office three times per week, at minimum.
Compensation: The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of the California Bay Area.
The salary range for this role is $134,700 to $245,00. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.
Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.
Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.
Company Vehicle: Upon successful completion of a motor vehicle report review, you will be eligible to participate in a company vehicle evaluation program, through which you will be assigned a General Motors vehicle to drive and evaluate. Note: program participants are required to purchase/lease a qualifying GM vehicle every four years unless one of a limited number of exceptions applies.
#LI-RF1
#GM-AV-1
You will manage AI/ML Engineers, support their career growth, and guide the team’s technical direction. In this role, you will collaborate closely with partner teams across the organization, help define best practices for engineering execution, and contribute to building and sustaining a high‑impact, high‑performance team.
About the Team:
The Data Scaling group owns the Data Flywheel for AV Foundation model development and successive fine tuning. It defines the composition of the data that is needed for the AV to learn behaviors at scale and deliver the driving behaviors necessary for the product success. The team owns the definition and processes for data quality across the data loop.
The team directly works on and delivers ML models to the product that successively go up the Data Scaling curves, thereby improving AV performance through smart use of data. As part of this work, the team builds scalable systems and pipelines that attempt to 10x the data used, its diversity and impact on the models with successive major releases. The team uses existing very large datasets that GM has access to internally as well as defines the next generation of highest value datasets that GM continues to collect – both from real driving by GM internal and retail fleets but also synthetic sim-based datasets.
Why Join Us?
Scale up AV foundation model pre-training and fine-tuning with data to its maximum capacity – into billions+ of examples - across different sources, delivering the maximum value to the model through every additional example.
Work with cutting-edge technology and a collaborative, high-impact team of AI/ML engineers, data scientists and engineers who are passionate about leveraging advanced AI techniques to drive innovation for L2, L3 and L4 applications.
Contribute to the safety, reliability, and scalability of next-generation autonomous vehicles.
What You'll Do:
Manage a team of AI/ML engineers building and scaling the Data Flywheel at GM.
Raise the engineering bar of the team: set best practices, give feedback, and provide mentorship to direct reports.
Drive the technical vision for aspects of Data Foundations at GM, working with senior leaders and members of your team.
Define the project roadmap, set development priorities, and align the team’s work with company objectives and product milestones.
Collaborate cross-functionally with teams involved in AV model development and validation and ensure we meet organizational goals, product requirements and scaling needs.
Promote a collaborative, inclusive, and high-performance team culture, and champion the GM engineering values and principles.
What You Must Have:
BS, MS, or PhD in Robotics, Computer Science, Engineering, or a related technical field.
Proven experience managing and scaling high-performing engineering teams with a focus on operational excellence.
Demonstrated ability to inspire and motivate teams, drive best practices, and deliver continuous improvement.
Track record delivering scalable software solutions to a production environment using Python.
Proven experience in solving data scaling challenges, ranging from data diversity, data quality and building best practices to incorporate multiple data sources in large models.
Excellent communication, collaboration, and mentoring abilities, with a passion for driving innovation in autonomous technology.
Strong organizational, communication, and people leadership skills.
Bonus Points
A background in Robotics or the AV/ADAS industry.
Direct experience leveraging LLMs/VLMs/etc. for production workflows.
Experience in building and scaling large model training pipelines that are performant and enable quick iteration by distributed teams.
Strong data processing skills using tools like Numpy, Pandas, and Apache Spark.
Experience developing or working with safety-critical code and systems
Experience deploying foundation models into production environments and understanding the end-to-end process.
Remote/Hybrid: This role is categorized as fully remote or hybrid.
Compensation: The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of the California Bay Area.
The salary range for this role is $296,300-$453,900. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.
Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.
Benefits:
Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.
Company Vehicle : Upon successful completion of a motor vehicle report review, you will be eligible to participate in a company vehicle evaluation program, through which you will be assigned a General Motors vehicle to drive and evaluate. Note: program participants are required to purchase/lease a qualifying GM vehicle every four years unless one of a limited number of exceptions applies.
Relocation: This job may be eligible for relocation benefits.
#LI-CX1
#GM-AV-1
]]>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)
At GM Design’s Global Design Center in Warren, Michigan, the Lead Architecture and Experience Designer will be at the heart of a highly creative, collaborative studio, leading innovative projects across GM’s global portfolio. In this role, you will drive the conceptualization, visualization, and development of corporate environments and branded experiences that are distinctly on-brand to GM. You will create design visions and lead the execution of spaces and their details—including interior architecture, finishes, furniture, fixtures, and environmental graphics—that showcase and reveal GM vehicles and products. You will work across exhibits, environments, and other immersive brand touchpoints that bring GM’s product and brand stories to life for employees, partners, and guests. This is a highly visible role with the opportunity to influence how GM shows up physically around the world.
What You’ll Do -
Lead the end-to-end conceptualization, visualization, and development of corporate environments and branded experiences that align with GM’s brand and product strategy.
Design spaces and spatial details—including interior architecture, finishes, furniture, fixtures, and environmental graphics—that showcase and reveal GM vehicles and products across global programs.
Partner closely with GM Design, Marketing, Facilities, Fabrication and Prototyping, and external suppliers/creative agencies to ensure cohesive, on-brand experiences.
Use 2D and 3D digital tools, physical models, mockups, and visualization technologies to explore, communicate, and refine design concepts.
Collaborate with product design, sculpting, engineering, and fabrication teams to integrate vehicles and products seamlessly into spatial experiences.
Oversee the execution of installations, tracking design intent through documentation, vendor coordination, and on-site reviews to deliver high-quality outcomes on time and on budget.
Manage multiple complex projects simultaneously, setting creative direction, guiding junior team members, and presenting concepts and recommendations to cross-functional and senior stakeholders.
Your Skills & Abilities (Required Qualifications)
(Bachelor’s degree in Architecture, Interior Design, Industrial Design, Environmental Design, or a closely related field; master’s degree preferred.
7+ years of professional experience in architecture, interior, experiential, or environmental design, with a strong portfolio of high-impact, built or realized work.
Demonstrated ability to translate brand and product strategy into compelling spatial experiences, ideally across multiple global markets.
Advanced proficiency in Adobe Creative Cloud (InDesign, Illustrator, Photoshop) for visualizations, storytelling, and executive-ready presentations.
Proficiency in 3D design and visualization tools such as Rhino and Enscape (or similar) for spatial concepting, real-time visualization, and design reviews.
Experience using AI-based tools for concept development, visualization, and animation to communicate design intent and accelerate iteration.
Proven ability to lead cross-functional teams and manage multiple complex projects from concept through execution in a fast-paced, highly creative environment.
Strong communication and presentation skills, with the ability to clearly articulate design intent and rationale to both creative and non-creative stakeholders.
This position is primarily on site at the Design Center in Warren, Michigan, with some flexibility under our Work Appropriately model.
Experience delivering large-scale corporate, museum, exhibition, or brand environment projects, ideally within automotive, mobility, or technology sectors.
Familiarity with fabrication methods, materials, lighting, and detailing for high-finish interior and experiential projects.
Experience with real-time engines (such as Unreal Engine or Unity) and motion/experience design for immersive storytelling.
Prior experience working within or alongside in-house brand, marketing, or product design teams.
Comfortable presenting to senior leaders and executive stakeholders, with a strong narrative and visual communication style that champions the work and the team.
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
]]>About Us :
The AV Infrastructure org provides developer environments, cloud infrastructure, and ML/AI GPU platforms for AV research and development teams to build, test, and run faster in GM.
The Role :
GM is looking for a Senior Performance Engineer to join the AV Capacity and Performance Engineering team in the AV Infrastructure org to support our critical efforts in developing autonomous vehicles. The mission of the AVCPE team is to provide input into large scale ML infrastructure strategy, advise on key decisions affecting our cloud budget, identify and execute optimization projects, and provide capacity planning and engineering expertise to support GM’s efforts in developing autonomous vehicles (AV).
What you’ll be doing (Responsibilities)
Strategic Infrastructure Development: Adopt and run AV models to support GM’s long-term GPU system strategy and "evergreen" infrastructure roadmap.
Performance Optimization: Conduct deep-dive analyses of production workloads to identify bottlenecks and propose high-impact optimization strategies.
Cross-Functional Collaboration: Partner with AI/ML Research, Infrastructure Engineering, and Cloud Vendors to spearhead projects that enhance engineering velocity and cost-efficiency.
Proactive System Scaling: Identify opportunities for architectural improvements to ensure the scalability and reliability of large-scale ML training and inference environments.
Your skills & abilities (Required Qualifications)
Experience: 5+ years of professional experience in high-scale infrastructure or ML systems.
Education: Bachelor’s Degree in Computer Science, a related technical field, or equivalent practical experience.
Software Proficiency: Expert-level coding skills in Python and the ability to architect/debug within the PyTorch ecosystem.
Systems Engineering: Proven track record of resolving performance issues within large-scale distributed production environments.
Architectural Knowledge: Deep understanding of distributed systems, specifically modern ML system design and high-performance computing (HPC).
Containerization: Hands-on experience with Kubernetes for orchestrating complex workloads.
GPU Monitoring: Technical proficiency with Nvidia DCGM , nvidia-smi , and Grafana for real-time telemetry and observability.
Cloud Platforms: Extensive experience working within major cloud ecosystems ( AWS, GCP, or Azure ).
What will give you a competitive edge (Preferred Qualifications)
Advanced Experience: 8+ years of relevant industry experience.
Hardware Expertise: Working knowledge of Enterprise-grade Nvidia GPU architectures, including H100, B200, and GB200 .
Model Deployment: Experience deploying and scaling open-source models via the Hugging Face ecosystem.
Data Analytics: Proficiency in BigQuery for large-scale data analysis and reporting.
Profiling Tools: Practical experience utilizing Nvidia Nsight and Nsight Compute for kernel-level performance tuning.
Soft Skills: Strong technical communication skills with the ability to translate complex infrastructure needs into actionable business insights.
Hybrid: This role is categorized as Hybrid. This means the successful candidate is expected to report to Sunnyvale Technical Center at minimum three days per week or at the hiring manager’s discretion. Ability to sit remote in Seattle, WA until office opens.
Compensation: The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of New York, Colorado, California, or Washington.
The salary range for this role: is $144,700 to $261,300. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.
Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.
Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.
This role is categorized as on-site. The successful candidate is expected to report to the Advanced Technical Center full time.
The Role -
Do you enjoy creating unique and highly technical engineering solutions to address unusual challenges? Are you passionate about how a vehicle design develops into reality and where it all begins? The Studio Design Engineer (SDE) is responsible for integrating and balancing vehicle models with Design in partnership with Architecture, SMT, Performance, Human Factors and Manufacturing. We are at the early stages of the vehicle development process working at a systems level to integrate innovative technology and cutting-edge design. The optimal candidate has a passion for the automotive industry and can work objectively to balance the vehicle for the customer while working hard to enable design. A considerable amount of creativity and initiative are involved as well as a high level of independent judgment. 您是否喜欢创建独特且技术含量高的工程解决方案来应对不寻常的挑战？您是否对车辆设计如何发展为现实以及一切从何处开始充满热情？ 造型设计工程师（SDE）负责与架构、SMT、性能、人机工程和制造部门合作，将车辆模型与设计进行集成和平衡。我们正处于车辆开发过程的早期阶段，在系统层面开展工作，将创新技术和尖端设计相结合。最佳候选人需要对汽车行业充满热情，能够客观地为客户平衡车辆，同时努力实现设计意图。我们会涉及大量的创造力和主动性，以及高水平的独立判断。
The Role & What You’ll Do
Create & Provide to the Advanced Design teams initial vehicle layout proposals with coarse input from Advanced Planning, Design, and AVD Leadership. Including consideration of the competitive landscape as well as cost imperative considerations
Create and / or lead engineering, packaging, “what if” studies for next generation program and architecture development for the advanced studio
Delegate tasks and studies to Integration Design Engineers, Performance Engineers, and SMT Engineers as appropriate
Create and integrate initial architectural criteria section development, bodyside development, and architectural vehicle layouts into Advanced size and proportion and vision models as well as seating properties
Support technical development of design surface in both digital and full size/scale clay models as well as clinic properties and VR/MR mockups
Integrate regional/global requirements and develop alternatives to satisfy regional/brand needs
Participate in Engineering/Program Meetings, representing Design, Architecture, and Surface Integration, and lead the collaboration of other stakeholders as required to resolve issues
Resolve packaging issues such as interferences, space violations, and performance violations by creating alternative solutions while considering and protecting architectural bandwidths
Lead issue resolution and escalation, work close with JV partners PFI to VDR
Interface with the Advanced Vehicle Configuration and Feasibility teams as necessary
Represent brand-specific requirements and provide input in new architecture development
Support GVDP deliverables
Work with Studio Technical Lead to ensure Design strategies are understood and driven into the upfront proposals
Present engineering studies to senior level leadership
Your Skills & Abilities (Required Qualifications) :
Bachelor of Science Degree in Engineering
>7 years of combined architecture, vehicle attribute, exterior or interior or closure, surface integration, prefer experience working in a Design Studio environment
Extensive CAD (NX) capability
Demonstrated ability to prepare materials, presentations, and influence varying levels of cross-functional leadership appropriately
Ability to work under a tight, demanding schedule
High level of initiative and ability to work independently with little direction/supervision
Effective at influencing peers and indirect team members without direct control
What Will Give You a Competitive Edge (Preferred Qualifications)
Understanding of Studio deliverables within the GVDP process
Extensive knowledge of the global and local competitive vehicle landscape
Demonstrated ability to make vehicle level optimization decisions
Recognized expertise in design and engineering requirement balancing including Driver Accommodation, Access, Interior Spaciness, Vision, Storage requirements
Experience in the creation & comparisons of Pro-Dim’s & General Arrangement drawings
About Us :
The AV Infrastructure org provides developer environments, cloud infrastructure, and ML/AI GPU platforms for AV research and development teams to build, test, and run faster in GM.
The Role :
GM is looking for a Senior Capacity Engineer to join the AV Capacity and Performance Engineering team in the AV Infrastructure org to support our critical efforts in developing autonomous vehicles. The mission of the AVCPE team is to provide input into large scale ML infrastructure strategy, advise on key decisions affecting our cloud budget, identify and execute optimization projects, and provide capacity planning and engineering expertise to support GM’s efforts in developing autonomous vehicles (AV).
What you’ll be doing (Responsibilities)
Develop and refine technical models for capacity planning for GM’s AV infrastructure
Design and build automated analytical tools for monitoring capacity and demand signals
Partner with AI/ML engineering, infrastructure engineering, and cloud vendors to proactively identify and drive optimization projects to increase engineering and cost efficiencies
Your skills & abilities (Required Qualifications)
5+ years of relevant work experience
Bachelor's Degree in Computer science or related field or relevant work experience
Proficient in coding with Python (our preferred language)
Proficient in BI platforms
Experience with data modeling and working with SQL on large datasets such as BigQuery
Good understanding of distributed systems including modern ML system architecture and design
What will give you a competitive edge (Preferred Qualifications)
8+ years of relevant work experience
Proficient in coding with Pandas and NumPy
Proficient in Looker and BigQuery
Good communication skills
Experience executing cross functional projects
Experience with Git, Linux, and common Linux CLI tooling
Experience with analyzing billing and usage data in GCP
Experience with modern ML system architecture and design
Experience with forecasting capacity demand
Hybrid: This role is categorized as Hybrid. This means the successful candidate is expected to report to Sunnyvale Technical Center at minimum three days per week or at the hiring manager’s discretion. Ability to sit remote in Seattle, WA until office opens.
Compensation: The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of New York, Colorado, California, or Washington.
The salary range for this role: is $144,700 to $261,300. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.
Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.
Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.
This posting is for an existing vacancy within the organization and is open to new applications.
AI Disclosure:
As part of the application process, Artificial Intelligence will be used in the hiring process for this role
Work Arrangement: This role is categorized as hybrid. This means the successful candidate is expected to report to the office three days per week, at minimum.
The Role
We are looking for a skilled Staff Embedded Software Developer with a deep understanding of distributed systems and fleet-scale device management to develop, optimize, and maintain our embedded control and data plane infrastructure. The ideal candidate will have a strong background in software development (C/C++), a passion for open-source technologies, and experience designing and operating data-intensive pipelines together with the configuration systems that manage them across a distributed device fleet
What You'll Do (Responsibilities)
Design, implement, and maintain the on-vehicle control plane that retrieves configuration from the cloud and applies it across the vehicle's ECUs.
Design, implement, and maintain the on-vehicle data plane that collects, processes, and forwards data from vehicle systems to cloud storage.
Optimize our control and data plane for reliable data egress and configuration delivery over intermittent connectivity, rapid convergence to new configuration, and a minimal CPU and memory footprint on the target ECU.
Integrate with cloud services such as Azure, AWS S3, and Firestore for configuration delivery, device state reporting, and data egress.
Collaborate with DevOps and Cloud teams to roll out new on-vehicle software and configuration safely.
Instrument our software with the observability needed to monitor the fleet, diagnose issues in production, and resolve them at the source.
Contribute to the open-source community by reporting issues, contributing to documentation, and submitting patches.
Drive the technical direction of how we manage thousands of vehicles from a single control plane, including configuration distribution, version management, device identity, and remote diagnostics.
Mentor junior and senior peers, and support team growth
Promote best practices within the software community Be an integral part of a dynamic, growing team, contributing positively to team culture and success
Your Skills & Abilities (Required Qualifications)
Bachelor's degree in Computer Science, Engineering, or a related field.
Proficiency in programming languages such as C, C++, and other related languages (8+ years of hands on development experience).
Experienced developing software for Linux, Android, and QNX platforms.
Solid understanding of distributed systems, configuration management, and large-scale data pipelines.
Experience designing, developing, or operating a control plane, fleet management system, or other large-scale distributed coordination service.
Familiarity with vehicle communication protocols (UDS, CAN, SOME/IP, XCP).
Familiarity with Autosar standards.
Experience in leading complex cross-organizational initiatives.
Expert in software development and optimization.
Strong problem-solving skills and the ability to troubleshoot complex issues in production environments.
Excellent communication skills and the ability to work effectively in a team environment.
Has delivered software in a production environment and supported it once in the field.
What Can Give You a Competitive Advantage (Preferred Qualifications)
Understanding of network communication and security protocols, including mTLS and certificate-based device identity.
Familiarity with cloud platforms (AWS, GCP, Azure) and their device management services (IoT Hub, IoT Core, Pub/Sub, or equivalent).
Familiarity with OpenTelemetry.
Experience building fleet management, OTA, or remote configuration systems, and contributions to Fluent Bit or other data-intensive open-source projects.
Experience working with Firestore.
Knowledge of security best practices for device provisioning, configuration delivery, and authentication of cloud-to-device traffic.
Experience with CI/CD pipelines and automation tools.
Compensation:
The salary range for this role is $147,000 to $196,600. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.
GM DOES NOT PROVIDE IMMIGRATION-RELATED SPONSORSHIP FOR THIS ROLE. DO NOT APPLY FOR THIS ROLE IF YOU WILL NEED GM IMMIGRATION SPONSORSHIP NOW OR IN THE FUTURE.
Benefits Overview:
The goal of the General Motors of Canada total rewards program is to support the health and well-being of you and your family. Our comprehensive compensation plan currently includes the following benefits, in addition to many others:
Paid time off including vacation days, holidays, and supplemental benefits for pregnancy, parental and adoption leave.
Healthcare, dental, and vision benefits.
Life insurance plans to cover you and your family.
Company and matching contributions to a Defined Contribution Pension plan to help you save for retirement.
GM Vehicle Purchase Plan for you and your family.
This 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.
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]]>At General Motors, we do not just build vehicles; we build the future of mobility. As part of our commitment to innovation and excellence, we are looking for enthusiastic, forward-thinking students to join our Student Internship Program. This internship offers a unique opportunity to dive into the world of Global Purchasing & Supply Chain, where you will play a crucial role in shaping the next generation of automotive solutions.
The Team
As a Global Purchasing & Supply Chain Intern at General Motors, you will immerse yourself in the heart of our operations, learning how we source and manage the vital components that keep our vehicles and business running smoothly. This may include solving complex challenges, innovating with industry leaders, collaborating, networking cross-functionally, and volunteering for community service and team-building activities. This internship is designed for current college students eager to gain hands-on experience and make impactful contributions to our team.
What You’ll Do
Selected interns will be assigned to one of the below pillars based on business need:
Purchasing
Source key parts, systems and technologies that go into GM vehicles and future EV products.
Partner with cross-functional teams to balance cost, quality, timing and innovation with suppliers.
Supply Chain
Plan and support vehicle/propulsion production so plants have the right parts at the right time.
Use data to help manage demand, material changes and day-to-day supply chain operations.
Logistics
Support inbound/outbound logistics, from parts arriving at plants to vehicles reaching customers.
Help design packaging, routes and logistics solutions that reduce cost and improve delivery performance.
Other Internship Opportunities
Contribute to value chain, sustainability, accessories, aftermarket and supplier resiliency projects.
Gain exposure to strategy, planning, GM Energy and new business models shaping GM’s supply chain.
Your Skills & Abilities (Required Qualifications):
Pursuit of a Bachelor’s degree in one of the following areas: Supply Chain, Logistics, Packaging, Purchasing, Procurement/ Acquisitions and Contract Management, Business, Industrial Engineering, Mechanical Engineering, General Engineering, Business Analytics, Management Information Systems
Must be graduating between December 2027 and August 2029
Able to work fulltime, 40 hours per week during the summer months
What will give you a Competitive Edge (Preferred Qualifications):
Previous purchasing, logistics, or supply chain internship experience
Demonstrated curiosity and aptitude for learning new AI-enabled tools and applying them in a business context.
Participation in Supply Chain case competition team or similar school association
Outstanding interpersonal and relationship management skills with the ability to effectively collaborate with varying levels of the organization
Emerging partnership and teamwork skills and ability to learn from and share knowledge with co-workers in a fast-paced environment
High level of integrity, ability to deal with ambiguity, takes initiative/self-directed
Consistently demonstrates innovative thinking that is customer-centric
Proficient with Microsoft office products - Word, Excel, PowerPoint & Google Workspace
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 GM Global Technical Center – Cole Engineering Center, 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 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.
]]>The Global Purchasing & Supply Chain Rotational Program is for recent college graduates. Members of the GPSC TRACK (Technical Rotation and Career Knowledge) program will be rotating jobs every six months across the following pillars: Purchasing, Logistics, Supply Chain, and other business areas as needed for the first two years.
This entry-level rotational program begins in January or July of 2027.
Your role involves developing and implementing commercial strategies aimed at delivering value to customers. This includes ensuring timely delivery of high-quality parts and services at competitive costs for current and upcoming vehicle models. You will also cultivate robust cross-functional relationships internally and externally, emphasizing trust, transparency, and teamwork to drive growth and innovation. This position requires a high degree of self-motivation, analytical prowess, and independent decision-making due to the complex nature of the work involved.
The Team
Members of GM’s Entry-Level Global Purchasing & Supply Chain (GPSC) Rotational Program are responsible for procuring the goods and services essential for vehicle production and sustaining business operations through our global supply chain.
What You’ll Do
Members of the GPSC TRACK (Technical Rotation and Career Knowledge) program will be rotating jobs every six months across the below pillars and other business areas as needed for the first two years:
Purchasing
Source key parts, systems and technologies that go into GM vehicles and future EV products.
Partner with cross-functional teams to balance cost, quality, timing and innovation with suppliers.
Supply Chain
Plan and support vehicle/propulsion production so plants have the right parts at the right time.
Use data to help manage demand, material changes and day-to-day supply chain operations.
Logistics
Support inbound/outbound logistics, from parts arriving at plants to vehicles reaching customers.
Help design packaging, routes and logistics solutions that reduce cost and improve delivery performance.
Other Rotational Opportunities
Contribute to value chain, sustainability, accessories, aftermarket and supplier resiliency projects.
Gain exposure to strategy, planning, GM Energy and new business models shaping GM’s supply chain.
Your Skills & Abilities (Required Qualifications):
Pursuit of a Bachelor’s degree in one of the following areas: Supply Chain, Purchasing, Logistics, Packaging, Procurement/ Acquisitions and Contract Management, Business, Industrial Engineering, Mechanical Engineering, General Engineering, Business Analytics, Management Information Systems
Must be graduating between December 2026 and June 2027
Able to work fulltime, 40 hours per week during the summer months
What Will Give You a Competitive Edge (Preferred Qualifications):
Experience managing commercial issues with suppliers and assessing supplier performance
Demonstrated curiosity and aptitude for learning new AI-enabled tools and applying them in a business context.
Demonstrated skills in complex negotiations
Solid knowledge of contract law and its application to purchasing processes
Knowledge of procurement software and databases
Ability to work globally, independently, and in a self-directed 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.)
Work Arrangement :
Hybrid: This role is categorized as hybrid. This means the successful candidate is expected to report to Warren Tech Center in Warren , MI three times per week three times per week, at minimum.
Rotational jobs may, at times, require travel (domestic or international).
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
REQUIREMENTS: Bachelor's degree in Computer Science, Software engineering, Electrical engineering, or related field of study and Five (5) years of experience as a Staff Engineer, Software Engineer, Software Developer, or related occupation OR Master's degree in Computer Science, Software engineering, Electrical engineering, or related field of study and Three (3) years of experience as a Staff Engineer, Software Engineer, Software Developer, or related occupation Three (3) years of experience with: Object-oriented and object function scripting languages including Python, Java, C++, and Scala. Two (2) years of experience with: Big Data Tools including Hadoop, Spark, and Kafka; Advanced SQL and NoSQL databases, including Postgres and Cassandra; and Stream-processing systems including Storm and Spark-Streaming.
#LI-DNI
]]>REQUIREMENTS : Bachelor's degree in Computer Science, Computer Engineering, Mechanical Engineering, Electrical Engineering, or related field of study. Four (4) years of experience as a Software Engineer, Associate Software Engineer, Embedded Software Engineering Intern, Software Test Engineer or related occupation. OR Master's degree in Computer Science, Computer Engineering, Mechanical Engineering, Electrical Engineering, or related field of study. Two (2) years of experience as a Software Engineer, Associate Software Engineer, Embedded Software Engineering Intern, Software Test Engineer or related occupation Two (2) years of experience in the following: Software coding including C-language, Simulink, Stateflow, GIT environment, plant modeling, and Python; Embedded software and controls development experience; Developing hand code in C language; Compile ECU level software build; Development and testing experience on SIL and HIL; and Jira and Agile Framework.
#LI-DNI
]]>At GM, our culture is to have a "One Team" approach, where we collaborate cross functionally to achieve enterprise-wide results. This program will give you the opportunity to work with a diverse group of teams to accomplish our larger goals. In this role you will support and coordinate with multiple facets of the General Motors global portfolio by crafting and implementing timely business solutions. As a member of our team, you will play a key role in solving meaningful and important issues facing our company!
The Team:
Controllership, Audit, and/or Tax. Rotations will provide candidates with the work experience necessary towards acquiring a CPA license and may include consolidating and reporting company results, analyzing transactions for appropriate accounting treatment, and serving as a strategic business partner to increase transparency, improve efficiency, shorten decision cycle times, and reinforce financial integrity and accountability.
What You’ll Do:
The Finance - Accounting Analyst Rotational Program, consists of rotations within our Accounting Controllership organization. During your program you will develop broad financial and accounting skills producing the next generation of Finance and Accounting leaders at General Motors. As an analyst you will collaborate with GM’s globally diverse organizations to assemble data, perform analyses, and present recommendations to senior GM executives.
This is a rotational program that offers assignments in high visibility areas of our Controllership (Accounting) function. Analysts rotate on average every 12 months to different accounting functions. Upon completion of the program, you will work with our leaders to join our broader Controllership team.
Your rotation program typically consists of at least one (1) project requiring sophisticated data gathering, analytical capability, and presentation skills.
Required Qualifications:
Pursuit of a Bachelor’s or Master’s degree in one of the following areas: Business, Accounting, Finance, Economics, or related fields
Graduating with a Bachelor’s degree between December 2026 and June 2027 OR if you are currently pursuing your CPA: will complete a Bachelor’s degree + additional CPA required course work or Master’s degree (total 150 hours) between December 2026 and June 2027
Available to start full time in June 2027
What Will Give You a Competitive Edge (Preferred Qualifications):
Currently pursuing a CPA is preferred
Demonstrates leadership in field of study, extra-curricular activities, or service organizations
Strong Analytical Skills
Functional/Technical Skills
Problem Solving, Drive for Results, Decision Quality, Interpersonal Savvy, Strategic Agility, Managerial Courage and Innovative Thinking
Knowledge of corporate finance principles including ability to analyze balance sheets, incomes statement and cash flow and capital structure analysis, etc.
Familiarity with basic accounting principles or advanced accounting principles for Accounting roles
Sophisticated Excel skills and strong modeling and financial valuation skills
Teamwork and Leadership Skills
Can collaborate with a diverse team including cross-functional partners
Solves problems and develops new methods of analysis to streamline decision-making
Dives into data and corrects inconsistencies, finding and understanding root causes and drivers
High level of integrity, accountability, and trust with ability to deal with ambiguity and take initiative
Ability to prioritize, multi-task, and meet goals in a fast-paced environment
GM does not provide immigration-related sponsorship for this role. Do not apply for this role if you will need GM immigration sponsorship now or in the future. This includes direct company sponsorship, entry of GM as the immigration employer of record on a government form, and any work authorization requiring a written submission or other immigration support from the company (e.g., H1-B, OPT, STEM OPT, CPT, TN, J-1, etc.)
Work Arrangement :
Hybrid: This role is categorized as hybrid. This means the successful candidate is expected to report to Warren or Detroit, MI three times per week, at minimum.
To help facilitate administration of relocation benefits if you are selected, please apply using the permanent address you would move from.
Benefits:
GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.
This job may be eligible for relocation benefits
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.
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]]>At General Motors, our product teams are redefining mobility. Through a human-centered design process, we create vehicles and experiences that are designed not just to be seen, but to be felt. We’re turning today’s impossible into tomorrow’s standard —from breakthrough hardware and battery systems to intuitive design, intelligent software, and next-generation safety and entertainment features.
Every day, our products move millions of people as we aim to make driving safer, smarter, and more connected, shaping the future of transportation on a global scale.
The Role
Lead manufacturing and project-engineering activities supporting the Gen 6 Assembly line at the Tonawanda facility. The role will coordinate assembly equipment installation, production readiness, issue resolution, contractor and OEM interfaces, and G-Comply preparation through launch and sustained production.
What You'll Do
Lead engineering execution for Gen 6 Assembly equipment installation, integration, commissioning, and readiness.
Coordinate daily activities across assembly manufacturing, maintenance, controls, safety, contractors, and OEM partners.
Drive closure of assembly-line installation issues, punch-list items, equipment conflicts, and schedule risks.
Support G-Comply planning, evidence readiness, and completion for assigned Assembly equipment and work areas.
Review Assembly layouts, equipment interfaces, access/egress, safeguarding, utilities, and installation plans.
Track Assembly milestones, constraints, actions, and escalation items; communicate status to leadership.
Support root-cause analysis and corrective actions affecting Assembly launch and sustained production.
Ensure work is executed in accordance with GM safety, quality, manufacturing, and engineering standards.
Your Skills & Abilities (Required Qualifications)
Bachelor’s degree in engineering, manufacturing, or a related technical discipline.
Three or more years of relevant manufacturing, project, equipment-installation, or plant-engineering experience.
Experience coordinating cross-functional teams, contractors, and equipment suppliers.
Demonstrated ability to manage schedules, risks, technical issues, and action closure.
Strong written, verbal, organizational, and problem-solving skills.
Ability to work on-site at the Tonawanda facility and support project needs as required.
What Will Give You A Competitive Edge (Preferred Qualifications)
Experience with automotive manufacturing, engine assembly, or large-scale equipment installation.
Familiarity with GM G-Comply, machine safeguarding, G-DHS, and equipment access/egress requirements.
Experience with controls, electrical, mechanical, or process-engineering interfaces.
Experience supporting production launch, commissioning, or continuous improvement.
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 looking for a Transmission Control Software Engineer to support the development of control software for a new transmission for Performance Cars. In this role, you will design, implement, and integrate embedded software that manages transmission operation across a broad range of vehicle operating conditions.
You will work closely with software, systems, calibration, and platform teams to deliver high-quality controls solutions that are technically sound, maintainable, and consistent with GM software development standards and processes.
This is an individual contributor role for an engineer who can apply strong software and controls fundamentals, exercise independent judgment on moderate-scope technical problems, and contribute effectively within a cross-functional development team.
What You’ll Do
Develop and refine embedded software control functions for transmission operation, shift execution, torque management, diagnostics, and feature performance.
Translate system and algorithm requirements into software functional requirements, design content, implementation tasks, and verification activities.
Design, implement, and maintain software using C, MATLAB, Simulink, or comparable embedded controls toolchains.
Participate in software design, coding, peer reviews, and change-management activities in accordance with GM software development processes and coding standards.
Integrate transmission control software with vehicle-level and propulsion-system functions to support coordinated behavior and robust system performance.
Create and execute software verification activities, including unit, software-in-the-loop, hardware-in-the-loop, bench, and integration testing as appropriate.
Analyze software and controls issues, identify root causes, and implement corrective actions through development and software verification activities.
Collaborate with calibration, systems, integration, and architecture teams to resolve technical issues and deliver assigned features.
Communicate software design decisions, technical risks, issues, and recommended actions to project stakeholders.
Support continuous improvement in software reuse, documentation quality, test coverage, development processes, and adherence to GM engineering standards.
Provide technical support to teammates and share knowledge related to embedded software and transmission controls development.
Limited travel expectation (less than 20%)
Your Skills & Abilities ( Required Qualifications)
Bachelor’s degree in Electrical Engineering, Computer Engineering, Computer Science, Mechanical Engineering, or a related technical field.
At least 2 years of experience in embedded software, controls development, or software systems engineering.
Experience developing or implementing software control algorithms using C, MATLAB, Simulink, or comparable embedded controls toolchains.
Understanding of transmission, propulsion, torque-management, driveline, or related vehicle controls in a hardware-software environment.
Experience translating requirements into software design, implementation, and verification content.
Experience troubleshooting technical issues using structured analysis and root-cause problem-solving methods.
Understanding of software quality attributes and disciplined development practices, including peer reviews, configuration management, and change management.
Ability to work independently within established processes, identify appropriate solutions to moderate-scope problems, and seek guidance when needed.
Ability to collaborate effectively with cross-functional engineering teams and communicate technical information clearly.
Ability to identify Root Causes
What Will Give You a Competitive Edge (Preferred Qualifications)
Advanced degree in a relevant engineering or computer science discipline.
Experience with transmission controls, propulsion controls, or performance-oriented vehicle control systems.
Experience with vehicle controls, calibration, data logging, and embedded software development tools.
Familiarity with software architecture, diagnostics, functional safety, cybersecurity, or software-defined vehicle development.
Experience supporting feature integration across multiple controllers or subsystems.
Experience with Agile development, CICD, automated testing, or modern embedded software practices.
Experience with software verification on software-in-the-loop, hardware-in-the-loop, bench, or vehicle platforms.
Familiarity with embedded control development tools such as INCA, VSpy, and Vector tools.
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
]]>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.
]]>This role is eligible for relocation benefits
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
We are seeking an experienced NXOpen Developer to support the development of advanced CAD automation solutions and digital engineering tools within the Siemens NX and Teamcenter PLM environment. This role will partner closely with engineering, manufacturing, and R&D teams to translate design and manufacturing requirements into scalable automation tools, workflows, and integrations that improve product development efficiency and support digital manufacturing initiatives.
Key Responsibilities:
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., H-1B, OPT, STEM OPT, CPT, TN, J-1, etc.)
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]]>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.
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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.
Every day, our products move millions of people as we aim to make driving safer, smarter, and more connected, shaping the future of transportation on a global scale.
The Role
We are seeking a Material Handling Automation Engineer to drive the deployment of next-generation automation across our manufacturing network. In this role, you will identify, design, and execute material handling automation solutions that reduce waste, improve safety, and increase operational efficiency. You will collaborate with cross-functional teams, strategic suppliers, and plant partners to implement technologies such as AMRs, AFTs, ASRS, and advanced kitting/sequencing systems from concept through launch. This role is ideal for a hands-on engineer who combines technical depth, strong planning, and cross-functional coordination to turn automation strategies into production-ready solutions.
What You'll Do (Responsibilities)
• Lead deployment of material handling automation technologies (AMRs, AFTs, ASRS, kitting/sequencing systems) from early concept through launch.
• Identify and evaluate automation opportunities in partnership with Automation Solutions and plant teams to reduce waste, indirect labor, and variability in material flow.
• Conduct labor studies using GMOS and analyze indirect material movement with Assembly Plant Industrial Engineers to quantify benefits and define automation scope.
• Determine unit counts and routing strategies for automation assets and commodities based on operational requirements, volume, and constraints.
• Develop and review layouts using simulation and layout tools to optimize material flow paths, buffer strategies, and equipment utilization.
• Collaborate with Simulation and Vertical Teams to validate concepts, run what‑if scenarios, and de‑risk execution prior to launch.
• Optimize end‑to‑end material flow through automation and contribute to future‑state process designs, roadmaps, and standards.
• Develop timing- and cost-conscious automation plans, including feasibility, phasing, and alignment with plant launch / shutdown windows.
• Partner with Material Execution Leads, Manufacturing Innovation, and Engineering Center Leads to drive continuous improvement and standardization.
• Engage with strategic suppliers and integrators to define requirements, review designs, and ensure on‑time, on‑budget execution.
• Support deployment issue resolution related to containerization, logistics, and GPSC interfaces to ensure robust material availability and flow.
• Support feasibility studies, cost-benefit analyses, and ROI modeling to prioritize automation investments and support business cases.
• Coordinate with internal stakeholders (Product Engineering, Manufacturing Operations, IT) to ensure seamless system and data integration.
• Support development and management of launch documentation including PMP plans, PCP assignments, JES/TIS revisions, and ULOC/DLOC and CMA coordination.
Your Skills and Abilities (Required Qualifications)
• 3+ years of experience in automotive manufacturing, automation deployment, or material flow / industrial engineering.
• Hands-on experience implementing or integrating at least one of the following:
– Autonomous Mobile Robots (AMRs) with fleet management systems.
– Automated Fork Trucks (AFTs) with safety‑rated navigation and control systems.
– Automated Storage and Retrieval Systems (ASRS) with warehouse control software.
• Proficiency with labor analysis tools (e.g., GMOS) to conduct indirect labor studies and quantify automation impact on material movement.
• Experience with layout and flow optimization tools (e.g., AutoCAD, Siemens Tecnomatix, FlexSim) for evaluating and redesigning material routes and storage strategies.
• Familiarity with PLC programming, robotic cell integration, and industrial communication protocols (e.g., OPC UA, Modbus, Ethernet/IP).
• Ability to develop and manage launch and process documentation, including PMP plans, PCP assignments, JES/TIS revisions, and ULOC/DLOC and CMA coordination.
• Strong analytical and problem‑solving skills for feasibility studies, cost-benefit analyses, and ROI modeling for automation projects.
• Demonstrated success working with cross-functional teams and supporting issue resolution involving containerization, logistics, and supplier partners.
• Bachelor’s degree in Mechanical Engineering, Industrial Engineering, Robotics, or a related technical field, or equivalent experience.
• Comfortable with 25–50% travel, including periodic on‑site support and collaboration with cross‑functional teams.
What Will Give You a Competitive Edge (Preferred Qualifications):
• Experience with digital twin modeling, simulation environments, or virtual commissioning of automation systems.
• Familiarity with Factory of the Future concepts, including AI‑driven material flow, predictive analytics, and smart warehousing.
• Background supporting launch planning in unionized manufacturing environments, including safety integration and ergonomic assessments.
• Knowledge of robotic and automation safety standards (e.g., ANSI/RIA R15.06, ISO 10218) for collaborative and autonomous systems.
• Experience collaborating with external automation vendors and integrators to co‑develop custom material handling solutions.
• Proficiency in data visualization tools (e.g., Power BI, Tableau) to track automation KPIs and present performance metrics to stakeholders.
• Demonstrated ability to thrive in fast‑paced, high‑variability manufacturing environments and contribute innovative, practical automation solutions.
#LI-MH1
]]>Cadillac
Join the team redefining modern luxury and leading the industry's electric future. As part of Cadillac’s Sales Team, you'll partner with retailers to deliver exceptional customer experiences, accelerate growth, and support a portfolio that combines luxury craftsmanship with cutting-edge technology. This is an opportunity to influence the future of an iconic brand while working at the forefront of automotive innovation.
The Role
As a District Sales Manager, you'll help lead the transformation of the automotive industry by connecting dealers with the products, technologies, and strategies shaping the future of mobility. You'll work side-by-side with dealer partners to deliver business results, accelerate EV adoption, enhance customer experiences, and bring innovative solutions to market. If you're energized by change, passionate about people, and motivated by making a measurable impact, this role offers a front-row seat to the future.
What You’ll Do
Your Skills & Abilities (Required Qualifications)
What Can Give You a Competitive Advantage (Preferred Qualifications)
We are seeking an experienced and highly motivated Senior Software Engineer to design, build, and optimize the Mobile Backend for Frontend (MBFF) platform and back-office integration services that power GM mobile ownership experiences. This role will focus on building secure, scalable, and resilient microservices using Java and Spring Boot, while advancing modern engineering practices across API development, cloud-native operations, DevOps automation, and observability.
The ideal candidate brings strong technical depth in microservices, hands-on cloud engineering experience in Azure, and a practical understanding of how AI-enabled tools can improve engineering productivity and operational insight. This engineer will play a key role in delivering platform capabilities that improve reliability, accelerate delivery, and simplify how mobile applications integrate with GM enterprise systems.
Design, develop, and maintain scalable microservices, REST APIs, GraphQL APIs, and event-driven integrations using Java and Spring Boot.
Build secure, reliable, and performant backend services that support mobile application experiences and enterprise workflows.
Deploy and operate services on Azure using AKS, API Management, Functions, Cosmos DB, SQL Database, and related cloud-native services.
Strengthen DevOps practices by building and maintaining CI/CD pipelines, deployment automation, environment consistency, and release governance using Azure DevOps and Git-based workflows.
Improve system observability through metrics, logging, tracing, dashboards, alerting, and service health monitoring using tools such as Datadog, Grafana, Prometheus, Loki, and Azure Monitor.
Define, monitor, and continuously improve service reliability through meaningful SLOs, SLAs, and operational health indicators aligned to customer and business expectations.
Apply AI-enabled engineering practices to improve developer productivity, code quality, operational insight, anomaly detection, incident triage, and capacity awareness.
Use Test-Driven Development (TDD) and strong engineering fundamentals to deliver maintainable, well-tested software with robust unit, integration, and functional test coverage.
Partner with product, architecture, security, and dependent engineering teams to deliver solutions aligned to business and customer needs.
Mentor engineers on microservices design, API standards, testing strategy, observability, and DevOps best practices.
Contribute to architecture documentation, operational runbooks, API documentation, and engineering standards across the team.
Your Skills & Abilities (Required Qualifications)
Bachelor’s degree in Computer Science, Engineering, or related field, or equivalent practical experience.
5+ years of software engineering experience, including strong hands-on development in Java and Spring Boot.
Proven experience designing and building microservices and RESTful APIs in distributed systems.
Experience working with cloud platforms, preferably Azure, including containerized deployments and managed services.
Strong understanding of DevOps principles, CI/CD pipelines, infrastructure-aware development, and automated deployment practices.
Experience with Test-Driven Development (TDD), automated testing frameworks such as JUnit and Mockito, and modern software engineering best practices.
Strong experience with SQL databases such as Oracle or PostgreSQL.
Strong communication, collaboration, and problem-solving skills with the ability to work effectively across teams.
What Will Give You a Competitive Edge (Preferred Qualifications)
Experience with GraphQL, WebSockets, and event-driven or asynchronous architecture patterns.
Experience with NoSQL technologies such as Cosmos DB or Cassandra.
Hands-on experience with Azure services such as AKS, API Management, Functions, Cosmos DB, SQL Database, Azure Monitor, and Application Insights.
Exposure to Google Cloud Platform (GCP) is a plus.
Experience with observability tooling such as Datadog, Grafana, Prometheus, Loki, OpenTelemetry, or similar monitoring platforms.
Practical experience with Docker, Kubernetes, release automation, and production support in cloud-native environments.
Experience using AI-assisted development tools and applying AI-driven operational capabilities for log analysis, incident response, anomaly detection, or engineering productivity.
Knowledge of security best practices including OAuth2, JWT, secrets management, and API gateway patterns.
Familiarity with mobile backend workflows, enterprise integration patterns, and ownership experiences platforms.
Experience working in Agile product teams and mentoring engineers through design reviews, code reviews, and delivery execution.
Additional Information:
This job may be eligible for relocation benefits
“GM does not provide immigration-related sponsorship for this role. Do not apply for this role if you will need GM immigration sponsorship now or in the future. This includes direct company sponsorship, entry of GM as the immigration employer of record on a government form, and any work authorization requiring a written submission or other immigration support from the company (e.g., H1-B, OPT, STEM OPT, CPT, TN, J-1, etc.)”
]]>The Command Center Lead plays a critical role in ensuring seamless customer and operational experiences by monitoring and analyzing real-time business performance across multiple customer support channels. This role leverages workforce management tools, operational data, and established playbooks to identify risks, optimize staffing strategies, and support service delivery objectives.
Acting as a central coordination point during operational disruptions, technical incidents, and business-critical events, the Command Center Lead partners closely with internal teams, external service providers, and senior stakeholders to drive issue resolution, maintain business continuity, and communicate operational impacts. The role also supports continuous improvement initiatives by identifying trends, recommending solutions, and enhancing processes that improve efficiency, scalability, and customer outcomes.
The Global Command Center supports customers, dealers, and internal teams across multiple regions 24 hours a day, 365 days a year. This position requires schedule flexibility to support business needs, including evenings weekends, holidays, and participation in an on-call rotation.
What You’ll Do
Your Skills & Abilities (Required Qualifications)
What Can Give You a Competitive Advantage (Preferred Qualifications)
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.
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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
The Manufacturing Execution Engineer GA for ME Optimization is responsible for leading General Assembly manufacturing optimization projects across multiple assembly sites. You will collaborate with cross-functional teams across Manufacturing Engineering, Plant Production, Industrial Engineering, Quality, and Maintenance to design, build, and commission state-of-the-art automation in GM vehicle assembly plants. This role plays a key part in shaping how General Motors operates within General Assembly and advancing our journey toward the factory of the future.
You will be accountable for maximizing efficiency and reducing MCPU through effective utilization of personnel, materials, equipment, and facilities. Key deliverables include leading the coordination, planning, budgeting, development, and execution of GA optimization projects from ideation through installation, and creating efficient, lean processes that can be deployed across the GM enterprise. Work is performed in a centralized manufacturing engineering environment as well as in assembly plants, with a high level of independent judgment and interaction with all levels of the organization.
What You'll Do (Responsibilities)
Define all areas of change, including product and manufacturing requirements (tooling, automation, workstation layout, facilities, etc.).
Analyze and design efficient material flow and future-state material movement strategies.
Develop interfaces and work with cross-functional teams to define and deploy common tooling, processes, and standards across the department and enterprise.
Provide technical direction to, and oversight of, outside vendors and internal product/plant teams.
Lead the design, construction, integration, plant installation, launch, and continuous improvement of equipment and tools required to produce high-quality vehicles.
Lead coordination of automation projects, including all plant integration and pull-ahead activities with Continuous Improvement leads and Plant ME/IE teams.
Coordinate transparent, aligned project validation metrics driven by design capability and simulated site throughput standards.
Apply strong analytical and problem-solving skills to resolve complex, unusual issues in manufacturing and automation.
Utilize deep technical knowledge of automated processes to identify, evaluate, and implement optimization opportunities.
Conduct project plan reviews with local production management for future implementations, including understanding local contractual considerations.
Provide technical support and assistance to manufacturing and maintenance team members, production supervisors, and production associates.
Ensure projects meet financial and budget targets, tracking costs and savings against objectives.
Quickly interpret plant layouts and propose General Assembly automation concepts, tooling solutions, and integration approaches.
Maintain a strong understanding of Bill of Process (BOP) and Bill of Equipment (BOE) and their application in GA optimization.
Manage timing, resources, budget, lessons learned, performance scorecards, meeting minutes, and weekly one-page project status reports for all assigned projects.
Support vehicle performance integration, driving design solutions to integration issues impacting General Assembly.
Own engineering deliverable status for Program Execution Teams and Program Quality Readiness Reviews.
Provide engineering launch leadership, including on-site support at assembly plant launches.
Run vehicle and progress integration meetings, ensuring clear communication of status, risks, and actions.
Serve as the engineering interface to plant operations, including build support, issue resolution, Bill of Materials accuracy, and final vehicle completeness.
Your Skills and Abilities (Required Qualifications)
Bachelor’s degree in Mechanical Engineering or equivalent experience.
5+ years of manufacturing engineering experience.
3+ years of experience supporting manufacturing launches.
Demonstrated ability to work independently, make sound decisions, and drive timely escalations when required.
High level of collaboration and cross-functional skills to work effectively across plants and central teams.
Strong data management, analysis, presentation, and problem-solving skills applied to complex, unusual challenges.
Creative, action-oriented mindset with a track record of turning ideas into executed solutions.
High proficiency with Teamcenter, AutoDesk, and Microsoft Office tools (Excel, Visio, Project, PowerPoint).
Proven experience leading complex individual projects, including resource coordination, status reporting, and timeline tracking.
Deep technical knowledge and ability in process engineering disciplines.
Thorough knowledge of manufacturing processes, tooling, and equipment, including their relationship to the Global Launch Process and Vehicle Development Process.
Demonstrated ability to manage multiple complex projects with a high level of autonomy and accountability for results.
Proven project management capability, with the ability to mentor and coach others in project management best practices.
Strong influencing skills and the ability to act as a change agent across the organization.
Willingness and ability to travel up to 50% , within the U.S. and internationally, as required by project phases.
What Can Give You a Competitive Advantage (Preferred Qualifications)
Previous experience scoping, designing, integrating, and commissioning various levels of automation projects (including GA tooling and systems).
Experience working in a unionized manufacturing environment.
Advanced knowledge of manufacturing processes, tooling, and equipment, and how they interface with the Global Launch Process and Vehicle Development Process.
Knowledge and hands-on familiarity with general assembly tooling automation, concepts, and best practices.
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]]> The Team
GM Motorsports is a high-performance engineering organization competing at the highest levels of global motorsport. Our programs span Cadillac Formula 1, Chevrolet NASCAR and INDYCAR, and Cadillac sports-car racing through IMSA and the LMDh program. Across these programs, our engineers develop and apply expertise in aerodynamics, vehicle performance, simulation, wind-tunnel testing, data science, software, tires, propulsion, and vehicle systems.
Motorsports is a technology test bed for GM. The methods, tools, and insights developed at the racetrack can accelerate production-vehicle engineering, while GM’s production engineering capabilities help advance race-car performance. As an intern, you will work alongside experienced engineers and technical leaders on projects that connect high-performance racing with real-world engineering innovation.
The Role:
As a Summer Intern, you will contribute to aerodynamic development within GM Motorsports. Depending on team priorities and your background, your work may involve computational fluid dynamics (CFD), physical testing, automation, data processing, machine learning, or artificial intelligence applications for engineering.
What You’ll Do:
Example assignments may include:
Develop and improve CFD workflows across CAD preparation, geometry cleanup, meshing, solver execution, post-processing, and automated reporting.
Develop tools and methods for wind-tunnel aerodynamic testing, including test planning, instrumentation, data acquisition, controls, and data processing.
Develop and validate machine-learning or surrogate models that improve aerodynamic performance prediction and flow-field inference.
Develop AI-enabled tools that improve engineering productivity, accelerate analysis, and support technical decision-making.
Work with engineers and technical leaders to define requirements, evaluate results, document methods, and communicate recommendations.
Projects will be defined by team needs and aligned with the candidate’s experience, interests, and development goals.
Required Qualifications:
Pursuit of a bachelor's degree in one of the following areas: physics, mathematics, aerospace engineering, mechanical engineering, computational science, or a closely related field.
Must be graduating after September 2027 or beyond
Able to work fulltime, 40 hours per week during the summer months
A strong foundation in one or more of the following areas: mechanical design, aerodynamics, CFD, computer vision, three-dimensional generative design, machine learning, or scientific computing.
Strong analytical and quantitative problem-solving skills grounded in physical principles.
Demonstrated engineering capability through research, coursework, or prior technical projects.
Ability to communicate complex technical findings clearly to both specialized and cross-functional audiences.
Curiosity, initiative, and a commitment to advancing engineering methods and technology.
Preferred Qualifications:
Strong interest in motorsports and high-performance vehicle development.
Experience architecting, training, debugging, or evaluating deep-learning models.
Experience using CFD to develop or optimize aerodynamic designs.
Experience with scientific programming, software development, version control, CI/CD, or DevOps practices.
Experience with CAD, geometry processing, meshing, high-performance computing, or engineering data pipelines.
Experience working with experimental data, wind-tunnel testing, vehicle testing, or instrumentation.
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. The successful candidate is expected to report to the Charlotte Technical Center in Concord, NC, at least three days per week.
For eligible participants, 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.
One of the most customer dissatisfying experiences as a vehicle owner is a part or system failure early in a vehicle’s life. If you have a commitment to customers, move with urgency and a desire to win in the marketplace, then this is the position for you. As a Lead Warranty Performance Manager, you will be responsible for establishing the supplier’s shared warranty cost and financial recovery. Our efforts instantaneously impact General Motors bottom line. You will actively participate in developing strategies, negotiations, executing regional warranty budgets, and collaborating with the suppliers and stakeholders. This role involves a significant amount of initiative, analytical work, and independent judgment. Becoming a subject matter expert is a requirement of the role, either technical or commercial in nature.
The Role :
As a Lead Warranty Performance Manager, you would collaborate with other Warranty Performance personnel, Purchasing, Engineering, Quality, Finance and other business stakeholders and Supply Base. You will engage in the crafting and execution of net warranty reduction and cost recovery strategies. The chosen candidate will be part of a team responsible for providing background information, creative approaches based on analyzed qualitative and quantitative data, thoughtful presentations, and innovative strategies.
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
The advancement of virtual tools has improved the way hardware and software can be optimized in vehicle design. As a Senior Virtual Hardware Model Engineer, you have the unique opportunity to shape GM's future by partnering cross functionally to develop models that unlock our ability to optimize design parameters within hardware components. In this role, you will lead development of select models in collaboration with suppliers, product development engineers, and other systems, software, and virtual teams.
What You’ll Do (Responsibilities)
Develop high-fidelity component plant models in MATLAB/Simulink that mathematically emulate the electrical, mechanical/physics, and software interfaces of GVHE hardware components.
Collaborate cross-functionally (Tech Specialists, DREs, VDDV, SIL, CoSim, suppliers) to understand hardware designs, control strategies, and boundary conditions, and translate them into clear modeling requirements.
Implement plant models in a form suitable for use in GM CoSim environments (e.g., FMU export), ensuring correct I/O definitions, signal naming, and execution behavior.
Use supplier specifications, design data, and physical test/bench/vehicle results to parameterize, correlate, and continuously improve model fidelity.
Support integration of component plant models into larger system and vehicle-level co-simulation environments, working closely with simulation integration and CoSim architecture teams.
Leverage plant models as virtual harness/component testers to confirm performance, run what-if studies, and explore fault and edge-case behavior before hardware is available.
Document modeling assumptions, limitations, calibration parameters, and validation results to enable reuse and traceability across programs.
Lead development and maintenance of model requirements documentation (Appendix C11, C12), with technical leadership in developing component plant model requirements, test needs, and deliverables are clearly specified and up to date.
Contribute to standard methods, libraries, and best practices for component plant modeling within GVHE, mentoring peers and helping scale the capability across programs
Own system-level modeling strategy across multiple components/domains (e.g., closures, thermal, chassis), including how component plant models roll up into integration/system models.
Define and drive standards and best practices for model architecture, naming, fidelity levels, correlation methods, and validation criteria across programs.
Lead model correlation and validation strategy: decide which tests/data are needed, set acceptance thresholds, and arbitrate trade-offs between fidelity and runtime.
Your Skills and Abilities (Required Qualifications)
Bachelor’s degree in Engineering, Math, Physics, Computer Science, or other relevant degree
Minimum 5 years of experience in product development, systems engineering, or work related to software/hardware connectivity. Preferred experience in translating physical phenomena into mathematical/Simulink models (electrical, mechanical, and software I/O).
Proficiency with Matlab/Simulink or similar software that uses code-based logic for model-based simulation.
Track record of delivering complex multi-domain models (coupled electrical–mechanical–software behavior) into SIL/HIL/CoSim workflows.
Strong communication and collaboration skills
Skilled and proficient with a variety of field’s concepts, practices, and procedures.
Extensive personal experience and discernment to plan and accomplish goals.
Ability to perform multiple tasks. Lead and likely direct the work of others. A wide degree of creativity and latitude is expected .
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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 on NIGHT SHIFT. This means the successful candidate is expected to report to the GM Philippines office three times per week or as dictated by business needs.
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)
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
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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
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AI Disclosure:
As part of the application process, Artificial Intelligence will be used in the hiring process for this role
Hybrid:
This role is categorized as hybrid. This means the successful candidate is expected to report to Markham three times per week, at minimum [or other frequency dictated by the business].
This role is intended for a highly capable technical engineer who can define diagnostic requirements that will be translated into production-ready embedded controls for Driveline and Trailering Mechatronic systems within the Chassis domain. The position sits at the intersection of systems engineering, diagnostic architecture, embedded software, controller integration, and vehicle-level validation, with primary focus on diagnostic strategy, requirements, and architecture.
The ideal candidate is a systems-oriented diagnostic engineer with a strong understanding of embedded controls, vehicle diagnostics, and chassis mechatronic systems. Experience includes defining diagnostic requirements, fault detection strategies, DTC implementation requirements, fault maturation and recovery criteria, and diagnostic validation plans for production vehicle pro Experience defining diagnostic requirements, fault detection strategies, DTC implementation requirements, fault maturation and recovery criteria, recovery logic, and diagnostic validation plans for production vehicle programs. Strong collaboration across systems, software, controls, hardware, validation, and supplier teams is essential, along with the ability to translate vehicle- and feature-level requirements into robust diagnostic architectures that improve fault detection while minimizing false failures. Success in this role requires strong technical leadership, structured problem-solving, and the ability to drive diagnostic solutions from concept through vehicle launch, ensuring reliable operation, serviceability, and a consistent diagnostic approach across Driveline and Trailering systems.
Experience with one or more of the following is strongly desired: MATLAB, Simulink, GitHub, Python, INCA, Vehicle Spy, Jira, Optimus, CPPu, and MDK.
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.
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.
]]>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):
Here at General Motors, we are looking for a hard-working person who enjoys taking on challenges and following through with robust solutions to join our Engine Calibration team! Engine calibration engineers work with vehicles, software, and algorithms to design and release engine calibrations to meet customer designs and performance requirements. They support the lead calibrator and diagnostic strategist, as well as stakeholders including the members of the vehicle platform, engine hardware, manufacturing plant and quality team. Depending on the area of responsibility, a Calibrator may focus more heavily on engine controls, serial data, platform interface, or diagnostic calibration functionality. These roles play a critical part in ensuring powertrain integration achieves world-class performance and aligns with program objectives.
What You'll Do:
Your Skills & Abilities (Required Qualifications):
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.
]]>This role within the Global Propulsion Engineering division offers the opportunity to work in a highly collaborative team focused on virtual process development and execution. Propulsion related thermal and fluid simulations are the primary focus. 3D Computational Fluid Dynamics (CFD) models are used to directly impact design and eliminate hardware testing. Simulations are primarily focused on engines, transmissions, electric motors & drive units, with extended scope of the team in battery cells and related processes.
What You’ll Do:
Your Skills & Abilities (Required Qualifications)
What Will Give You a Competitive Edge (Preferred Qualifications)
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.
GM DOES NOT PROVIDE IMMIGRATION-RELATED SPONSORSHIP FOR THIS ROLE. DO NOT APPLY FOR THIS ROLE IF YOU WILL NEED GM IMMIGRATION SPONSORSHIP NOW OR IN THE FUTURE. THIS INCLUDES DIRECT COMPANY SPONSORSHIP, ENTRY OF GM AS THE IMMIGRATION EMPLOYER OF RECORD ON A GOVERNMENT FORM, AND ANY WORK AUTHORIZATION REQUIRING A WRITTEN SUBMISSION OR OTHER IMMIGRATION SUPPORT FROM THE COMPANY (e.g., H-1B, OPT, STEM OPT, CPT, TN, J-1, etc.)
Please Note:
Onsite - This role is categorized as onsite. This means the successful candidate is expected to report to Arlington, TX on a full-time basis. The successful candidate will rotate amongst the three shifts and provide hands-on leadership in a fast-paced production environment.
Relocation:
This job may be eligible for relocation benefits.
The Role:
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 tests and communicates evaluation of results. Responsible for preventative maintenance and diagnosis of equipment malfunctions, recommends solutions to problems, and meets schedule and quality requirements in addition to the following responsibilities.
What You Will 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.)
Please Note:
Onsite - This role is categorized as onsite. This means the successful candidate is expected to report to Arlington, TX on a full-time basis. The successful candidate will rotate amongst the three shifts and provide hands-on leadership in a fast-paced production environment.
Relocation:
This job may be eligible for relocation benefits.
]]>The Virtual Performance Integration Manager (VPIM) leads cross-functional virtual vehicle integration throughout the development process. This role is responsible for driving full-program virtual development, balancing vehicle performance requirements across functions, and enabling efficient architectures through simulation, collaboration, and risk reduction.
What You'll Do
Leading vehicle and program virtual integration using simulation and synthesis
Driving cross-functional alignment across engineering, subsystem teams, validation, and performance integration
Identifying, communicating, and resolving CAE-driven issues with urgency and discipline
Supporting development plans, simulation workshare, and math data readiness to ensure timely feedback and decision-making
Promoting robust design practices, optimization methods, and continuous improvement in CAE capability
Your Skills & Abilities (Required Qualifications)
The ideal candidate brings strong technical judgment, cross-functional leadership, and the ability to move quickly in a dynamic development environment.
Bachelor’s degree in engineering
5+ years of cross-functional vehicle development experience
Experience with virtual development, CAE-based integration, and performance tradeoff management
Strong knowledge of vehicle performance integration and subsystem technical owner interfaces
Ability to lead across teams, influence without direct authority, and communicate complex technical issues clearly
Ability to prioritize effectively, make timely decisions with incomplete information, and manage multiple assignments in a fast-paced environment
Strong collaboration skills and a track record of driving issues to resolution
Comfort operating in ambiguity while maintaining focus on execution, speed, and results
Candidate must either be a U.S. Person (U.S. citizen, U.S. permanent resident, asylee or refugee) or a non-U.S. Person who is eligible to obtain any required export control authorization.
What Will Give You A Competitive Edge (Preferred Qualifications)
Master’s degree in engineering
Experience in Global Safety Performance Integration in support of vehicle development
Experience in electrical or hybrid vehicle development
Knowledge of CAE software, tools, and hardware capabilities
Broad experience across vehicle performance functions, including integration and validation
DFSS certification or experience applying robust design and optimization principles
#GMD
]]>The Role:
Warehouse Team Members are hardworking and ambitious workers who are responsible for picking, packaging, staging, and shipping automotive parts from a General Motors warehouse. Team members are also loading, unloading, stocking, and maintaining the warehouse inventory.
Physical Requirements:
Minimum Requirements:
What Will Give You a Competitive Edge (Preferred Qualifications):
What You'll Love:
GM DOES NOT PROVIDE IMMIGRATION-RELATED SPONSORSHIP FOR THIS ROLE. DO NOT APPLY FOR THIS ROLE IF YOU WILL NEED GM IMMIGRATION SPONSORSHIP (e.g., H-1B, TN, STEM OPT, etc.) NOW OR IN THE FUTURE.
]]>Every day, our products move millions of people as we aim to make driving safer, smarter, and more connected, shaping the future of transportation on a global scale.
Role
As a Staff AI/ML Engineer in the Embodied AI organization, you will serve as a senior individual contributor developing and deploying machine learning solutions that directly impact autonomous driving performance. You will design and implement advanced ML models that enable safe and reliable vehicle behavior across diverse real-world scenarios.
In this role, you will partner closely with cross-functional engineering teams, contribute to core technical direction within your domain, and support the growth of engineers through technical collaboration and mentorship. You will help translate research into scalable onboard ML solutions while contributing to the continuous improvement of our autonomy stack.
What You'll Do
Design and implement ML solutions aligned with GM’s autonomous driving objectives.
Apply techniques such as unsupervised pre-training, imitation learning, reinforcement learning, model scaling/selection, foundation modeling, to solve problems in object detection/tracking/classification, trajectory generation, and safe AI.
Collaborate with cross-functional teams to deploy models and algorithms into onboard driving systems.
Contribute to applied research efforts and remain current with advancements in ML frameworks and methods.
Design and build efficient infrastructure, pipelines, and tooling to facilitate fast-pace model iterations.
Drive technical execution from prototyping through production deployment, documenting learnings and best practices.
Support and mentor engineers through technical collaboration and code reviews, fostering knowledge sharing and engineering excellence.
Your Skills & Abilities
Bachelor’s, Master’s, or PhD in Computer Science, Robotics, Machine Learning, or related field.
Experience working with large-scale foundation models and alignment methods applied to real-world systems.
Demonstrated ability to deliver applied ML solutions under real-world constraints and timelines.
Proficiency in PyTorch and Python.
Experience building and scaling model training pipelines enabling efficient iteration across teams.
Strong data processing skills using tools such as NumPy, Pandas, and Apache Spark.
Strong communication skills enabling effective collaboration across engineering teams.
Experience deploying ML models into production environments and understanding end-to-end deployment workflows.
Experience in robotics or autonomous driving systems preferred.
Remote: This role is based remotely but if you live within a 50-mile radius of Austin, Detroit, Warren, Milford or Mountain View, you are expected to report to that location three times per week, at minimum.
Compensation : The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of the California Bay Area.
The salary range for this role is $218,800.00 to $335,300.00. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.
Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.
Benefits:
Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.
This job may be eligible for relocation benefits.
Company Vehicle: Upon successful completion of a motor vehicle report review, you will be eligible to participate in a company vehicle evaluation program, through which you will be assigned a General Motors vehicle to drive and evaluate. Note: program participants are required to purchase/lease a qualifying GM vehicle every four years unless one of a limited number of exceptions applies.
#GM-AV-1
At General Motors, our product teams are redefining mobility. Through a human-centered design process, we create vehicles and experiences that are designed not just to be seen, but to be felt. We’re turning today’s impossible into tomorrow’s standard —from breakthrough hardware and battery systems to intuitive design, intelligent software, and next-generation safety and entertainment features. Every day, our products move millions of people as we aim to make driving safer, smarter, and more connected, shaping the future of transportation on a global scale. Are you passionate about accelerating the future of autonomous driving? Join the Embodied AI team at General Motors. Our team is developing and deploying machine learning solutions that support safe and reliable autonomous vehicle behavior across real-world scenarios.
As a Staff AI/ML Future Sensing Engineer in the Embodied AI organization, you will serve as a senior individual contributor driving end-to-end technical work that informs next-generation sensing architecture decisions. You will help define and evaluate machine learning and perception solutions that directly impact autonomous driving performance, with emphasis on future sensing architectures, multi-modal sensor fusion, system integration, and the technical evidence required to support sensor and compute decisions.
In this role, you will partner closely with cross-functional engineering teams, contribute to core technical direction within your domain, and support the growth of engineers through technical collaboration and mentorship. You will help translate research into scalable onboard ML and perception solutions while contributing to the continuous improvement of GM’s autonomy stack and sensing strategy.
What You’ll Do
Design and implement AI/ML solutions aligned with GM’s autonomous driving and future sensing objectives
Lead end-to-end technical studies across sensor selection, sensor configuration, sensor placement, and multi-modal sensor fusion using cameras, lidar, radar, and related sensing modalities
Architect and evaluate perception models and pipelines for detection, reconstruction, tracking, localization support, semantic labeling, and uncertainty estimation
Drive definition of robust model-level and system-level metrics used to compare sensor configurations, quantify subsystem differences, and evaluate performance parity relative to existing architectures
Lead model development efforts spanning data curation, training, validation, performance optimization, debugging, and deployment-oriented analysis
Partner with simulation teams to define synthetic-data and sensor-model requirements needed to evaluate future sensing concepts under adverse weather, sensor noise, occlusions, clutter, and near-field versus long-range scenarios
Drive system integration thinking across sensing, calibration, compute, software architecture, and vehicle constraints
Translate ambiguous architecture questions into concrete experiments, technical recommendations, and clear go / no-go evidence packages
Design and build efficient infrastructure, pipelines, and tooling to support large-scale data processing, model training, evaluation, and rapid iteration across teams
Drive technical execution from prototyping through integration and readiness for production adoption, documenting learnings and best practices
Support and mentor engineers through technical collaboration and code reviews, fostering knowledge sharing and engineering excellence.
Your Skills & Abilities
Bachelor’s, Master’s, or PhD in Computer Science, Robotics, Machine Learning, Electrical Engineering, or a related field
Strong experience building and scaling AI/ML systems for perception, autonomy, robotics, or related real-world systems
Deep hands-on experience with modern deep learning frameworks such as PyTorch and strong proficiency in Python
Experience working with model training pipelines, large-scale data workflows, and infrastructure enabling efficient model iteration across teams
Strong data processing skills using tools such as NumPy, Pandas, and Apache Spark
Strong experience with model validation, debugging, performance optimization, and error analysis under real-world constraints and timelines
Strong experience with multi-modal sensor fusion and perception pipelines using cameras, radar, lidar, or related sensing modalities
Experience defining metrics and evaluation methodologies for perception or autonomy systems
Strong communication skills enabling effective collaboration across engineering teams
Experience deploying or preparing ML models for production environments and understanding end-to-end deployment workflows.
Preferred Qualifications
Experience in robotics or autonomous driving systems
Experience with architecting perception or sensory systems for automotive, robotics, or safety-critical platforms
Experience with system integration across sensors, calibration, compute, and onboard software pipelines
Experience with simulation, synthetic data, and sim-to-road evaluation workflows
Technical leadership experience including mentoring engineers and shaping major workstreams from concept to execution.
Remote/Hybrid: This role is categorized as fully remote or hybrid.
Compensation: The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of the California Bay Area.
Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.
Company Vehicle : Upon successful completion of a motor vehicle report review, you will be eligible to participate in a company vehicle evaluation program, through which you will be assigned a General Motors vehicle to drive and evaluate. Note: program participants are required to purchase/lease a qualifying GM vehicle every four years unless one of a limited number of exceptions applies.
Relocation: This job may be eligible for relocation benefits.
#LI-CX1
#GM-AV-1
If you are a current employee of General Motors working in a per diem, hourly, or regular salaried role, you must apply through the internal careers page. Please navigate to https://workday.gm.com and search for GM Find Jobs.
The General Motors Manufacturing Group is seeking to identify highly motivated and qualified individuals for current and potential future opportunities as a Group Leader. In anticipation of these openings becoming available, we welcome you to apply so we can begin the pre-screening and interview process.
The Role:
As a Group Leader in Production, Quality, or Global Supply Chain (GSC), you will be responsible for leading teams of employees or technical personnel to drive operational excellence across manufacturing processes. This includes managing daily operations, developing and improving business processes, and fostering a culture of teamwork and collaboration.
In this role, you may oversee production activities, quality assurance, inspection, problem-solving, and GM Built-in-Quality initiatives. You will be expected to apply independent judgment within the framework of Global Manufacturing Systems, with a strong focus on Safety, People, Quality, Responsiveness, Cost, and Environment (SPQRCE).
Selected candidates will gain the chance to develop new skills while contributing to the advancement of manufacturing processes that support the groundbreaking shift toward electric and autonomous vehicles.
What You'll Do (Responsibilities):
Analyze and respond promptly to the manufacturing daily plan, making necessary adjustments to operations as required
Manage multiple tasks in a fast-paced environment with competing priorities
Possess the experience to manage change and navigate ambiguity
Drive accountability through people and processes which may require difficult conversations
Specific physical requirements of the position include the ability to:
Work in a loud manufacturing environment that may not be climate controlled (conditions can be hot or cold)
Possess good physical stamina and coordination to frequently and repetitively:
Bend, twist, kneel, crouch and reach to perform work
Lift or carry materials weighing up to 15 lbs. and periodically carry or lift materials weighing up to 40 lbs.
Walk and stand for prolonged periods of time
Occasionally sit, climb (including ladders and lifts) and drive vehicles and equipment
Read standardized work instructions, operate machines and tools, and perform quality inspections
Promptly detect and respond to safety instructions, alarms, and signals
Wear personal protective equipment, for example: safety glasses, gloves, hats, ear plugs, and safety shoes
Your Skills and Abilities (Required Qualifications):
One year of direct supervisory experience or at least 5 months as an internal GM per diem group leader
Experience managing, leading people, and addressing performance concerns
Experience solving complex problems and working in a fast-paced environment
Strong interpersonal skills, experience managing conflict, and decision making
Demonstrate a high analytical ability to solve complex problems
Basic computer proficiency (i.e. Microsoft Word, typing, email etc.)
Must be willing to work rotating shifts
Must be available and willing to regularly work weekends to meet production demands, including approximately two weekends per month
18 years of age or older
High School Diploma or equivalent
What Can Give You a Competitive Edge (Preferred Qualifications):
Knowledge of Continuous Improvement Processes (CIP)
Proficient in Throughput Improvement Process (TIP)
Advanced understanding of manufacturing and assembly processes
Experience supervising employees in a union environment
Supply Chain or Quality Experience
Experience implementing Built-in-Quality Initiatives
Red X & DFSS Certification
Lean Manufacturing experience
Knowledge of timekeeping systems
At General Motors, our product teams are redefining mobility. Through a human-centered design process, we create vehicles and experiences that are designed not just to be seen, but to be felt. We’re turning today’s impossible into tomorrow’s standard —from breakthrough hardware and battery systems to intuitive design, intelligent software, and next-generation safety and entertainment features.
Every day, our products move millions of people as we aim to make driving safer, smarter, and more connected, shaping the future of transportation on a global scale.
Role:
As a Principal Technical Lead in Trajectory Generation within the Embodied AI organization, you will be a senior individual contributor driving cutting-edge end-to-end machine learning solutions directly impacting autonomous driving performance. Your role is pivotal in designing, architecting, and deploying advanced ML models to reliably and safely navigate diverse real-world scenarios and conditions. You'll lead critical technical initiatives, collaborate closely with cross-functional teams, mentor ML engineers, and significantly shape the future of onboard ML capabilities.
What You'll Do:
Design and implement technologies that align our models to GM’s mission.
Apply techniques such as RL, guidance, and selection to raise the performance of our models and provide a layer safety and reliability.
Collaborate with cross-functional teams to integrate & align distillation recipes of Robotics foundation models for onboard driving models.
Conduct research and stay updated on the latest advancements in AI frameworks and libraries.
Lead projects from ideation to deployment, documenting learnings and best practices along the way.
Mentor junior team members and contribute to a culture of knowledge sharing and continuous improvement.
Your Skills & Abilities:
Bachelor’s, Master’s or PhD degree in Computer Science with a focus in Robotics and or Machine Learning, or a related field.
Proven experience working with large-scale Foundation Models and alignment methods to translate research into real-world impact.
Proven experience delivering applied research in the wild and maintaining best practices while working on tight deadlines.
Proficiency in frameworks such as PyTorch and languages such as python.
Proven experience in building and scaling large model training pipelines that are performant and enable quick iteration by distributed teams.
Strong data processing skills using tools like Numpy, Pandas, and Apache Spark.
Excellent communication skills to effectively collaborate with diverse teams and stakeholders.
Experience deploying foundation models into production environments and understanding the end-to-end process.
Previous experience in Robotics or Autonomous Driving.
Compensation :
The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of the California Bay Area.
The salary range for this role is $ 269,400.00 to $412,600.00. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.
Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.
Benefits:
Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.
This job may be eligible for relocation benefits.
Company Vehicle: Upon successful completion of a motor vehicle report review, you will be eligible to participate in a company vehicle evaluation program, through which you will be assigned a General Motors vehicle to drive and evaluate. Note: program participants are required to purchase/lease a qualifying GM vehicle every four years unless one of a limited number of exceptions applies.
#GM-AV-1
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.
In-vehicle electronics is a fast-growing technology in the global automotive industry featuring many cutting-edge technologies such as Compute, body and zone controllers, multi-view cameras, Gig+Ethernet, PCIe, digital/analog interfaces and more. We are looking for creative and enthusiastic candidate to become part of a fast-moving team who want to lead the future direction of the automotive industry.
The Power Center of Excellence team’s mission is to ensure that the power distribution and conversion circuitry within our ECU hardware products are reliable and robust, enabling all the advanced functionality for our customers. In this role you will be responsible for product development, verification, and integration activities.
Responsibilities include utilizing engineering tools and processes to successfully develop power circuitry for our internally designed ECU’s.
Responsibilities:
Qualifications:
Compensation:
The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of New York, Colorado, California, or Washington.
The expected base compensation for this role is: $106,600- 163,400. Actual base compensation within the identified range will vary based on factors relevant to the position.
Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.
#LI-JK3
]]>Position Tasks and Responsibilities:
Assist month end close activities:
Assist statutory audit and account:
Assist contract review process:
Assist managing SharePoint Sites (SBRF, ZVDC, DPRF, CMR, EFT and FGRD):
Assist in the preparation and timely submission of the Quarterly Accounting Review (QAR):
Knowledge and Skills:
Experience/Education:
Competencies:
Position Tasks and Responsibilities:
Knowledge:
Skills:
Experience/Education:
Competencies:
General Motors is looking for an experienced Quality Leader to join the Rochester Operations Central Quality team. Reporting to the Quality Manager, this role will provide technical and operational leadership for assigned manufacturing areas, including IAFM/Canister and manifold/LOMA-related operations and component processes.
The Quality Lead is accountable for protecting the customer, strengthening built-in quality, and improving manufacturing performance. This role partners closely with Manufacturing, Quality Engineering, Product Engineering, Manufacturing Engineering, Supplier Quality, and plant leadership to identify risk, resolve complex quality issues, and sustain robust processes from launch through production.
This is a hands-on leadership role for a quality professional who can work independently, influence across functions, and translate data and customer feedback into durable corrective actions.
What You’ll Do:
Your Skills and Abilities (Required qualifications):
What Will Give You a Competitive Edge (Preferred qualifications):
Compensation:
Bonus Potential:
Benefits:
GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement
savings plan, sickness and accident benefits, life insurance, paid vacation & holidays,
tuition assistance programs, employee assistance program, GM vehicle discounts and more.
]]>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.
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]]>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.
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:
Do you have experience in program management? Does the process of bringing an idea or design into reality appeal to you? Are you capable of bringing diverse team members together in order to execute complex programs and build events? Are you comfortable working with engineering and manufacturing leadership and teams, as well as the technically skilled individuals that are tasked with the physical build of properties? Can you operate in high visibility situations? Are you a creative problem solver? Are you a self-starter and do you take initiative? Are you highly adaptable and able to manage change? Are you innovative? Do you support and desire an inclusive environment. If you are, the position of ACLM is the role for you!
About Pre-Production Operations:
All GM vehicles first launch at the Global Artisan Innovation Center (GAIC). Our team members are the first to integrate new innovations into vehicle programs for validation prior to saleable assembly to the public. As the industry is evolving, GAIC is adapting to change. Aside from building pre-production properties, we are a low volume production facility producing highly crafted bespoke vehicles for high profile customers. GAIC is one of the leading production facilities in General Motors that has vast experience in ICE and EV manufacture. We are currently developing multiple business channels that make working in our facility exciting and full of professional opportunities. We are constantly integrating new technologies such as robotics, new body joining technologies, 3D printing, advanced electrical architectures, & virtual reality assembly builds using the latest innovations available.
Every member of the GAIC team contributes to a thriving environment of professionals committed to successfully integrating people, product and processes to produce the highest quality test ready & low volume production properties possible.
What You’ll Do:
This position is within General Motors’ Manufacturing Engineering organization, specifically the Global Artisan Innovation Center facilities, and is responsible for leading engineering, manufacturing, validation, quality, and supply chain efforts to ensure the successful execution of build events, and special projects. This role requires the ability to work collaboratively across many functions to drive program success. As an ACLM you will be responsible for the planning, readiness, execution, escalation, and the accurate reporting of status for every project/program managed. A strong sense of urgency, solid communication skills, and a collaborative work ethic are skills that will lend to success. You will be exposed to a large variety of corporate functions and staff through the process of performing your duties. As an ACLM, you will develop solid leadership skills that will become part of or further advance your skillset.
Key Responsibilities:
Develop the most cost-effective build strategy with your team
Coordinate virtual reality build events.
Engage global teams as required.
Lead all planning & readiness activities to support pre-production, low volume production and special projects as assigned.
Hold stakeholders accountable to the required deliverables
Manage change
Support quality processes
Quality Wall
Issue identification and solution demonstrations
Support build floor activities
Daily production meetings
Easel board reviews
Escalation process
Build site direction communications (BSDs)
Continuous improvement endeavors
Assure test ready properties
Support GAIC program execution meetings (Timing Workshops, VAPIR, etc….)
Support achievement of Business Plan Deployment (BPD) objectives following Global Manufacturing System (GMS) principles
Your Skills and Abilities:
High level of analytical ability where problems are unusual and difficult
Good oral and written communication skills
Proficient in Microsoft Excel and PowerPoint presentation creations
High level of interpersonal skills to work effectively with others
Demonstrated ability to work independently and with others
Demonstrated ability to manage numerous issues and work on projects simultaneously
Demonstrated ability to lead and support cross functional team activities
Demonstrated technical and professional skills in job related area
Bachelor’s Degree in a technical or project management similar field
What will give you a competitive advantage:
Knowledge of Pre-Production Operations and Vehicle Build Processes, including Low Volume Production
Strong technical understanding of manufacturing, quality, project management, or engineering processes
Knowledge of General Motors specific processes and business acumen
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)
Preferred Experience Includes:
Primary Responsibilities:
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
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.
]]>Preferred Experience Includes:
Primary Responsibilities:
Interested individuals must meet the following minimum qualifications:
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 Electrical Diagnostician plays a critical role in supporting the plant's Electrical First-Time Quality (EFTQ) objectives during steady-state production. This position is responsible for supporting the electrical end-of-line (EOL) repair process, collecting and analyzing diagnostic data, identifying root causes of electrical concerns, and partnering with cross-functional teams to implement effective corrective actions.
The Electrical Diagnostician helps resolve vehicle issues that impact EFTQ, drives continuous improvement initiatives, and contributes to the delivery of high-quality vehicles that meet customer and manufacturing standards.
What You’ll Do:
Your Skills & Abilities
What Will Give You a Competitive Edge
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.
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.
]]>As a Lead AI SoftwareEngineer – Enterprise Transformation, you will design, build, and scale AI-enabled workflow and automation solutions that modernize how work gets done across General Motors. From the software and core IT side of the transformation, you will focus on eliminating manual effort, simplifying workflows, improving consistency, and enabling business teams to operate effectively across Google Workspace, enterprise platforms, and AI-enabled environments.
This role is a strong fit for an experienced engineer who can independently deliver complex workflow solutions, translate business needs into practical technical designs, and build secure, reusable, and supportable automations that align with enterprise standards. You will partner closely with product, engineering, technical program management, security, and business stakeholders to turn high-value manual processes into scalable solutions and to contribute reusable patterns that can be adopted broadly across GM.
Design, build, test, and support AI-enabled workflow and automation solutions across collaboration platforms, enterprise systems, and cloud-native environments.
Develop secure backend services, scripts, integrations, and orchestration logic using Python and/or JavaScript frameworks such as Node.js and TypeScript.
Build and support event-driven services and workflow components using approved cloud-native patterns and enterprise integration standards.
Integrate workflow solutions with enterprise platforms such as IT service management, HR, CRM, document and content platforms, reporting systems, and internal API ecosystems.
Translate manual, fragmented, or legacy processes into scalable, supportable, and reusable automation designs.
Partner with business stakeholders, transformation leads, and product teams to understand current-state pain points and identify practical workflow improvement opportunities.
Help redesign business processes before automation so teams do not simply recreate inefficient legacy ways of working in new platforms.
Support modernization of Microsoft-dependent, spreadsheet-heavy, macro-driven, or manually routed workflows into more durable Google-aligned and cloud-native solutions.
Contribute to phased transition and coexistence models where legacy tools or downstream systems must temporarily remain in place during rollout.
Build and support AI-assisted workflow solutions using approved enterprise AI platforms and orchestration patterns (for example, Gemini-based capabilities and internal AI tools).
Implement prompt logic, tool orchestration, exception handling, and validation steps for AI-enabled processes with a strong focus on reliability and supportability.
Contribute to human-in-the-loop workflow designs where business or compliance requirements require review, approval, or validation checkpoints.
Implement logging, telemetry, and basic evaluation mechanisms to monitor workflow health, agent performance, and operational issues.
Evaluate incoming business requests and recommend the appropriate solution path using approved platform capabilities, configuration, low-code/no-code options, or custom engineering.
Build reusable services, templates, reference implementations, and accelerators that help teams solve repeatable workflow problems more consistently.
Apply enterprise platform standards, approved design patterns, and security requirements in all delivered solutions.
Document workflow designs, technical logic, dependencies, integration points, and operational runbooks to support long-term sustainment.
Participate in peer reviews, design reviews, and technical discussions to maintain quality, consistency, and supportability.
Work closely with TPMs, product managers, security, privacy, identity, ILM, and business stakeholders to ensure solutions are practical, compliant, and supportable.
Support pilot deployments, early-wave implementations, validation activities, and hypercare for high-priority transformation use cases.
Troubleshoot production issues, resolve workflow failures, and improve resiliency across connected systems and downstream dependencies.
Provide delivery feedback and practical recommendations that help improve future support models, governance processes, and reusable platform patterns.
7+ years of hands-on experience in workflow engineering, automation engineering, software engineering, platform engineering, or enterprise application automation within a complex, highly matrixed corporate environment.
Proven experience analyzing, redesigning, and automating complex business processes that span multiple connected systems and stakeholder groups.
Demonstrated success modernizing legacy or manual workflows into more scalable, API-driven, event-based, or automation-enabled solutions.
Experience supporting enterprise platform change, migration, modernization, or transformation initiatives in large organizations.
Bachelor’s degree in Computer Science, Information Technology, Engineering, Information Systems, or a related technical field, or equivalent practical experience.
Strong hands-on experience building backend automations, workflow logic, integrations, and supportable technical solutions using Python and/or JavaScript-based tooling.
Experience working with REST APIs, webhooks, connectors, event-based logic, and orchestration patterns across enterprise systems.
Proven ability to build secure, reliable integrations across collaboration tools, SaaS platforms, and internal enterprise applications.
Strong understanding of modern SaaS platforms, cloud-based applications, and enterprise workflow architecture patterns.
Practical experience integrating AI capabilities into business workflows, automation pipelines, or enterprise tools.
Familiarity with prompt design, workflow orchestration, exception handling, validation logic, and supportable AI-assisted process design.
Experience implementing logging, telemetry, monitoring, or evaluation approaches for automated or AI-enabled workflows in production or near-production settings.
Strong systems-thinking skills with the ability to trace dependencies across applications, business processes, data layers, and identity boundaries.
Solid understanding of authentication, authorization, access-control concepts, and secure integration practices in enterprise environments.
Experience using version control, structured testing, and release management practices, and debugging across multiple environments.
Strong technical documentation skills, including the ability to clearly describe workflow logic, business rules, dependencies, and support processes.
Strong cross-functional communication skills with experience working closely with product teams, TPMs, security, and business stakeholders.
Experience with Google Workspace administration, Google Workspace APIs, Google Apps Script, AppSheet, or related Google ecosystem tooling.
Experience modernizing or replacing legacy macros, spreadsheet-heavy processes, low-code flows, SharePoint or similar unmanaged automation patterns.
Experience integrating AI platforms or intelligent workflow capabilities using tools such as Gemini, Glean, AskGM, Databricks, or similar enterprise platforms.
Familiarity with cloud-native workflow components, event-driven design, and modern enterprise orchestration approaches.
Experience supporting pilot deployments, testing, cutover planning, validation, hypercare, and sustainment in large transformation programs.
Experience building reusable templates, shared automation components, or reference implementations that improve scale and consistency across teams.
Google Cloud or Google Workspace-related certifications.
This job may be eligible for relocation benefits.
GM DOES NOT PROVIDE IMMIGRATION-RELATED SPONSORSHIP FOR THIS ROLE. DO NOT APPLY FOR THIS ROLE IF YOU WILL NEED GM IMMIGRATION SPONSORSHIP (e.g., H-1B, TN, STEM OPT, etc.) NOW OR IN THE FUTURE.
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 $163k–$250k 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.
]]>
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:
We are seeking motivated candidates for an Electrification Diagnostic Strategist Engineer position in GM's Global Electrification Calibration group at the Milford Proving Ground. The positions involve significant in-vehicle and lab work, along with related analytical and performance verification activities. Diagnostic Strategists engage in cross-functional teams, are expected to handle multiple projects/priorities, and frequently need to balance planned and unplanned work.
A typical week includes in-vehicle calibration & testing, lab/bench/analytical activities, and collaboration with algorithm/software and hardware engineers. Diagnostic Strategists participate in offsite development trips as well as onsite program team vehicle evaluations.
What You'll Do :
Your Skills & Abilities (Required Qualifications):
What Gives You a Competitive Edge (Preferred Qualifications):
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:
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.
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.
]]>We are seeking a highly motivated individual for a summer internship in our Performance Analysis team. As a member of our group, you will be responsible for complex analytical work and will see a multi-faceted project – chosen to reflect team priorities at the start of the internship – through to completion. Given the breadth of areas we work in, an aptitude in vehicle dynamics, controls, optimization, and data analytics will serve as a strong foundation, but a successful candidate will be driven by genuine curiosity to better understand the subject matter and ingenuity in finding the optimal solution. As an intern, you will work with a senior mentor to learn specialized industry knowledge and track project progress through a regular series of touchpoints.
The Team:
Our Performance Analysis team is a small, highly skilled group dedicated to advancing our organization’s ability to derive actionable insight from the data and tools available across the GM Motorsport program. To accomplish this, the group must collaborate across the greater Motorsports organization to identify, develop, and implement projects with long term value and learning potential. This work can take many forms; whether it is developing performance metrics, creating analysis procedures, refining and validating simulation tools, or implementing methods to extract greater learnings from many data sources we acquire, a diverse set of skills, ranging from vehicle dynamics to data analytics, is regularly required.
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 the Charlotte Technical Center four (4) 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.
Start dates for this internship role are May 24th & June 14th of 2027.
]]>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.
]]>The Senior Structural Engineer establishes structural requirements and review strategies, interprets applicable codes and GM standards, evaluates designs and technical risks, and supports project teams across multiple delivery models. The role helps teams make safe, constructible, cost-effective, resilient, and sustainable decisions while coordinating with project leaders, planners, architects and engineers, contractors, operations, safety, procurement, and other stakeholders.
Key Responsibilities
Technical Leadership and Governance
Project Planning and Design Support
Standards, Specifications, and Technical Documentation
Construction and Existing-Facility Support
Collaboration, Safety, and Capability Building
Required Qualifications
Preferred Qualifications
Location: Hybrid. This role is categorized as hybrid. This means the successful candidate is expected to report to the - Global HQ Warren MI three times per week, at minimum [or other frequency dictated by the business]
Relocation: This role is NOT eligible for relocation benefits.
GM DOES NOT PROVIDE IMMIGRATION-RELATED SPONSORSHIP FOR THIS ROLE. DO NOT APPLY FOR THIS ROLE IF YOU WILL NEED GM IMMIGRATION SPONSORSHIP NOW OR IN THE FUTURE. THIS INCLUDES DIRECT COMPANY SPONSORSHIP, ENTRY OF GM AS THE IMMIGRATION EMPLOYER OF RECORD ON A GOVERNMENT FORM, AND ANY WORK AUTHORIZATION REQUIRING A WRITTEN SUBMISSION OR OTHER IMMIGRATION SUPPORT FROM THE COMPANY (e.g., H-1B, OPT, STEM OPT, CPT, TN, J-1, etc.)
]]>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, 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.
]]>The Welding Engineer provides daily technical support to Maintenance, Quality, Manufacturing Engineering, and Production teams across body shop welding, fastening, sealing, and adhesive systems. This role supports current production and vehicle launches by troubleshooting equipment and process issues, leading weld verification and qualification activities, applying GM standards, coaching skilled trades, and driving improvements in safety, quality, cost, and productivity.
What You’ll Do
Plant and Launch Support
Welding, Dispense, and Joining Technical Support
Technical Systems and Process Scope
Validation, Data, and Documentation
Safety and Collaboration
Required Qualifications
Preferred Qualifications
The Role:
Energy Conversion Systems (ECS) at General Motors is a fast-paced team that is working on developing propulsion technology. This role is within the ECS Fluids and Thermal Hardware organization. We create leading-edge propulsion hardware (thermal management, fluid storage, ventilation, pressurized lubrication, transmission shift controls, torque converters, clutches and battery safety) that provide industry leading performance and customer value for current and future GM Vehicles.
We are seeking highly motivated, forward thinking, innovative, high performing people leaders with a balance of strategic and tactical skills to join this dynamic environment and help move us forward to achieve GM’s Zero, Zero, Zero vision. This position is for a first-level people leader (Engineering Group Manager) and you would lead a team responsible for hardware design and release within ECS.
What You'll Do (Responsibilities):
· Provide leadership to ensure excellence in all aspects of GM and supplier engineering:
· Functional, performance and safety requirements are met, Quality, reliability, durability and serviceability targets are met
· Engineering deliverables occur on time & with quality
· Develop industry leading hardware execution efficiency
· Recruit, attract and hire industry leading talent
· Train, develop, coach, and mentor employees
· Provide clear line of sight from organizational objectives to individual contributions; direct and prioritize work accordingly
· Create an environment that fosters a positive and inclusive culture and encourages individuals to achieve their peak performance and engagement
· Strive to create a workplace of choice, where employees are excited to work, and the customer is at the center of everything we do
· Some domestic and international travel, about 5%
· Recognize contributions and accomplishments
· Provide candid, specific performance and behavior feedback; address areas of concern in a timely manner
· Provide opportunities for career growth and professional development
Your Skills & Abilities (Required Qualifications):
· Bachelor of Science degree in Engineering
· 7+ years of engineering experience in all phases of product development from initiation to launch
· Knowledge of GM engineering processes, tools, and vehicle / propulsion development processes
· Working knowledge of ICE propulsion and Electric Vehicle propulsion
· Experience leading projects and people (directly or indirectly), with highly developed interpersonal and communication skills
· Demonstrated organization and planning capability, with the ability to quickly identify and remove roadblocks and escalate as appropriate
· Excellent conflict resolution skills, with proven capability to balance technical and business needs
· Strong collaboration skills and enterprise business acumen
· Demonstrated ability to deal with ambiguity and support timely decision making
· Ability to manage multiple assignments with a high level of composure and proven results
· DFSS black belt
· Ability to travel domestically and internationally
What Can Give You a Competitive Edge (Preferred Qualifications):
· Masters in Engineering, Management or Business Administration
· Prior DRE experience
· Prior people leader experience
]]>
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
]]>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)
Role Overview
A Martech Lead who connects marketing strategy, customer data, experimentation, analytics, and AI. This role owns the evolution of the marketing technology ecosystem and turns fragmented marketing signals into trusted data products, actionable insights, and scalable customer experiences.
The ideal candidate combines Martech with practical experience in data analysis, Databricks or Lakehouse environments, experimentation, identity resolution, and AI-enabled marketing.
They can move from business problems to data solutions, from test design to insight, and from insight to measurable action.
Core Responsibilities
• Lead the strategy and integration of the marketing data and technology ecosystem across CRM, customer data, media, web, analytics, activation, and measurement.
• Build and manage scalable marketing data products and pipelines using SQL, Python, Databricks, APIs, and cloud data platforms.
• Establish reliable data foundations for audience management, identity resolution, customer journeys, campaign measurement, and business reporting.
• Design and analyze A/B tests, holdouts, incrementality studies, and personalization experiments to improve marketing performance.
• Apply AI and machine learning to use cases such as lead scoring, propensity modeling, audience intelligence, journey optimization, personalization, and predictive measurement.
• Translate campaign and customer data into clear recommendations connected to leads, visits, conversions, revenue, and customer value.
• Lead data governance, privacy, consent, quality, documentation, and responsible use of customer data.
• Partner with marketing, media, analytics, engineering, agencies, and technology teams to deliver practical, scalable solutions.
Required Capabilities
• Strong SQL and Python skills for marketing data analysis, transformation, validation, and modeling.
• Hands-on experience with Databricks or a comparable cloud lakehouse environment.
• Knowledge of experimentation design, statistical analysis, incrementality, attribution, and marketing performance measurement.
• Understanding of CDPs, CRM, identity resolution, audience activation, marketing automation, personalization, and media ecosystems.
Experience applying AI or machine learning to marketing, customer, or commercial problems.
• Ability to communicate technical concepts and analytical insights clearly to senior business stakeholders.
• Ability to communicate in English and Spanish.
Technical Nice to Haves
• Experience with Adobe Experience Cloud, Adobe Analytics, Adobe Target, Salesforce Marketing Cloud or CDP, Tealium, and mParticle.
• Familiarity with media and activation platforms such as DV360, The Trade Desk, Xandr, LiveRamp, and programmatic ecosystems.
• Experience with cloud data platforms and engineering tools such as Databricks, Snowflake, BigQuery, Azure Data Factory, APIs, and modern ETL/ELT workflows.
• Familiarity with analytics and visualization tools such as Power BI, Tableau, Looker, Google Analytics 4, or similar platforms.
• Exposure to consent management, identity solutions, personalization platforms, and AI/ML tools used in marketing.
In case you need any reasonable adjustment to continue with your process, let your recruiter know.
Remember to attach your CV when applying to this vacancy.
General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We respect and value what each individual contribution to our team, including their origin, education, sex, race, ethnic group, sexual orientation, gender expression and / or identity, religious context, age, generation, and disability. We believe that our ability to meet the needs and expectations of an increasingly diverse and global customer base is closely linked to the diversity and inclusion that we experience within General Motors.
At General Motors, our product teams are redefining mobility. Through a human-centered design process, we create vehicles and experiences that are designed not just to be seen, but to be felt. We’re turning today’s impossible into tomorrow’s standard — from breakthrough hardware and battery systems to intuitive design, intelligent software, and next-generation safety and entertainment features. Every day, our products move millions of people as we aim to make driving safer, smarter, and more connected, shaping the future of transportation on a global scale.
ABOUT THE TEAM
At General Motors, our product teams are redefining mobility. We create vehicles and experiences that are designed not just to be seen, but to be felt. From breakthrough hardware and battery systems to intuitive design and next-generation safety, we’re turning today’s impossible into tomorrow’s standard.
You will join the Autonomous Vehicle (AV) Program Management Office (PMO), a core pillar responsible for driving launch readiness for AV and ADAS features across L1–L4 autonomy. Based in the heart of Silicon Valley and Michigan, our team bridges the gap between cutting-edge software innovation and world-class automotive manufacturing, driving GM’s mission of Zero Crashes, Zero Congestion.
THE ROLE
As a Staff Program Manager for the next generation of Super Cruise, you will be the primary orchestrator for the evolution of GM’s flagship autonomous driving technology. Operating out of our Michigan or Sunnyvale hubs, you will act as the critical link between Product Management, Technical and Vehicle Program Management, Software Engineering, Hardware Engineering, Systems Engineering, Safety, Design and all other internal stakeholders to drive the strategic goals of the AV organization.
This is a high-visibility role. You aren't just tracking tasks; you are ensuring seamless coordination across all involved teams in order to drive high-quality milestone plans, navigate complex trade-offs, and ensure on-time execution of our most advanced safety-critical systems.
WHAT YOU'LL DO (RESPONSIBILITIES)
Build trusting partnerships with Product, Program and Engineering leaders to synchronize Super Cruise development with hardware/software cycles and provide critical insights on program status, dependencies, and strategic trade-offs.
Draft and track Program Milestones with clear success criteria, integrating guidance from Product Requirement Documents, Vehicle Program rollout plans, and company-wide software release schedules.
Drive and coordinate progress towards major cross-functional program milestones in collaboration with Engineering Leads
Own the Program Risk Register and coordinate the resolution of critical bottlenecks; proactively identify systemic risks early and facilitate the development of robust mitigation plans.
Lead recurring Program, Risk, and Milestone Reviews while acting as a PMO SME to coach and guide peers on industry best practices, GM-specific processes and professional excellence.
Manage the centralized Jira Align/Jira/Confluence ecosystem and facilitate the adoption of new operational rhythms to provide executive-level reporting and data-driven insights to senior leadership.
Forecast resource needs and ensure all workstreams strictly comply with necessary standards and safety-critical software development practices.
Ability to occasionally travel to Michigan or California locations if needed.
YOUR SKILLS & ABILITIES (REQUIRED QUALIFICATIONS)
Bachelor's degree in Engineering, Computer Science, or a related technical field.
10+ years of relevant experience in (Technical) Program Management or Engineering in the Tech, Automotive or Aerospace industry.
5+ years leading AV programs driving incremental delivery from inception to launch.
Technical fluency in AV/ADAS platforms, including familiarity with AI-based driving models, simulation, validation, sensors, compute, infrastructure and operations.
Expertise in agile and waterfall methodologies; fluent with tools like Jira, Jira Align, Confluence, and Microsoft 365.
Experience working on software and hardware delivery within Automotive OEM vehicle development processes.
Capacity to thrive in a fast-paced, dynamic environment and effectively manage competing priorities.
Exceptional communication, interpersonal, and presentation skills with a proven track record of driving alignment among senior executive stakeholders and inspiring diverse, cross-functional teams to deliver change through influence without direct authority.
Ability to travel and operate a motor vehicle on a regular basis.
WHAT WILL GIVE YOU A COMPETITIVE EDGE (PREFERRED QUALIFICATIONS)
Master’s degree in Engineering or MBA.
Experience with Software-Defined-Vehicle architectures.
Familiarity with systems engineering principles, validation cycles, and safety standards relevant to autonomous domains.
Background in scaling operational systems and processes to support evolving technology roadmaps and launch targets.
Understanding of GM’s GxDP (Global Vehicle/Software Development Process).
Experience managing to GM’s VeSCoM (Vehicle Software Control Management) timing and Program Increments (PI).
PMP, CSM, SAFe, Six Sigma, ISO 26262 or similar certifications
Hybrid: This role is categorized as hybrid. This means the successful candidate is expected to report to the Michigan or California 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 $245,000. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.
Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.
Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.
Company Vehicle: Upon successful completion of a motor vehicle report review, you will be eligible to participate in a company vehicle evaluation program, through which you will be assigned a General Motors vehicle to drive and evaluate. Note: program participants are required to purchase/lease a qualifying GM vehicle every four years unless one of a limited number of exceptions applies.
#LI-RF1
#GM-AV-1
Every day, our products move millions of people as we aim to make driving safer, smarter, and more connected, shaping the future of transportation on a global scale.
The Role:
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
GM DOES NOT PROVIDE IMMIGRATION-RELATED SPONSORSHIP FOR THIS ROLE. DO NOT APPLY FOR THIS ROLE IF YOU WILL NEED GM IMMIGRATION SPONSORSHIP NOW OR IN THE FUTURE. THIS INCLUDES DIRECT COMPANY SPONSORSHIP, ENTRY OF GM AS THE IMMIGRATION EMPLOYER OF RECORD ON A GOVERNMENT FORM, AND ANY WORK AUTHORIZATION REQUIRING A WRITTEN SUBMISSION OR OTHER IMMIGRATION SUPPORT FROM THE COMPANY (e.g., H-1B, OPT, STEM OPT, CPT, TN, J-1, etc.).
This job may be eligible for relocation benefits.
Onsite: This role is categorized as onsite. This means the successful candidate is expected to report to Grand Rapids, MI on a full-time basis.
Technical Operations Specialist (TOS) - supports production in maintaining, troubleshooting, repairing and problem solving manufacturing process equipment. Candidate must be able to function in a manufacturing maintenance team culture, where lean manufacturing principles are highly integrated. Candidate must be able to work independently under general direction of a supervisor. Work is performed in a manufacturing facility where a considerable amount of creativity and initiative is needed, as well as a high level of independent judgement.
The primary areas of responsibility include, but are not limited to the following:
Qualifications
Basic Required
Electrical Journeyman’s license
Mechanical Journeyman’s license8 + years as maintenance technician / electrician technician
Basic Preferred
Leveling Note
This role is intended for a strong manufacturing engineering individual contributor.
As a 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.
The Role
This is a unique opportunity to become part of a diverse team comprising advanced analytics professionals. Together, we spearhead the discovery of opportunities and craft solutions, advancing analytics initiatives across our global operations. This role applies leading analytic practices and methods, designs and leads iterative development and learning cycles, and ultimately produces new and creative analytic solutions that become part of the operating fabric of the global enterprise.
What You'll Do
Your Skills & Abilities (Required Qualifications)
What Can Give You a Competitive Advantage (Preferred Qualifications)
This job may be eligible for relocation benefits.
Compensation:
GM DOES NOT PROVIDE IMMIGRATION-RELATED SPONSORSHIP FOR THIS ROLE. DO NOT APPLY FOR THIS ROLE IF YOU WILL NEED GM IMMIGRATION SPONSORSHIP NOW OR IN THE FUTURE. THIS INCLUDES DIRECT COMPANY SPONSORSHIP, ENTRY OF GM AS THE IMMIGRATION EMPLOYER OF RECORD ON A GOVERNMENT FORM, AND ANY WORK AUTHORIZATION REQUIRING A WRITTEN SUBMISSION OR OTHER IMMIGRATION SUPPORT FROM THE COMPANY (e.g., H-1B, OPT, STEM OPT, CPT, TN, J-1, etc.)
#LI-CC1
]]>
Estamos em busca de um (a) Técnico (a) de Enfermagem do Trabalho para integrar nossa equipe de Saúde Ocupacional na planta de Gravataí/RS .
O profissional será responsável por atuar na promoção da saúde, prevenção de doenças ocupacionais e atendimento aos colaboradores, conforme normas regulamentadoras e políticas internas.
Atividades:
Requisitos Mandatórios:
Requisitos Desejáveis:
Importante: Incluir o seu currículo atualizado no momento da aplicação na vaga.
]]>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):
As a Quality, Reliability & Durability (QRD) Engineer at General Motors LLC, you will play a critical role in ensuring the highest levels of product quality, reliability, and durability for our vehicles.
This role connects customer experience, data analytics and product engineering within Vehicle Software and Electronics Engineering Quality (VSEE Quality) to drive both short‑term containment and long‑term quality improvements across global vehicle programs.
You will be instrumental in preventing issues, identifying and resolving problems and continuously improving our manufacturing processes to deliver exceptional products to our customers.
Job Responsibilities:**
Analyze long-term warranty data across VSEE to identify patterns, trends, emerging issues and produce summary of findings needed for handoff to responsible QRD
Represent VSEE QRD in CPIT / Focus CPIT, SMT Core PDT, QRD Reviews, daily and weekly QRD calls and other escalation forums as required.
Create automation/dashboards for the analysis
Support plan and implement target sufficiency actions to address QRD issues, ensuring temporary containment and permanent corrective actions are driven to closure.
Collaborate with Product Engineering teams to integrate quality and reliability considerations into vehicle design and development.
Utilize PRTS (Problem Resolution and Tracking System) to effectively track, analyze and resolve quality issues, implementing robust corrective and preventive actions.
Drive containment and permanent corrective actions for plant and service field.
Engage in Supplier Quality Management to assess and improve the quality performance of external suppliers.
Apply advanced Technical Problem-Solving methodologies to diagnose root causes of complex quality and reliability issues.
Possess a comprehensive understanding of Vehicle Manufacturing Processes to identify opportunities for quality enhancement and defect prevention.
Develop and implement quality metrics and reporting to monitor product performance and drive continuous improvement initiatives.
Provide technical expertise and guidance to manufacturing teams on quality-related matters.
Job Requirements:
Bachelor's degree in Engineering (Mechanical, Electrical, Industrial, or related field).
Demonstrated experience with Advanced Product Quality Planning (APQP) principles and tools.
Proficiency in Process Failure Mode Effects Analysis (PFMEA).
Familiar with AI solutions/applications.
Expert in Python coding for automation
Experience data analytics, processing large datasets to enable AI/ML-ready outputs.
Strong understanding of Product Engineering principles and processes.
Experience with problem resolution and tracking systems (PRTS or similar).
Proven expertise in Supplier Quality Management.
Excellent Technical Problem-Solving skills, with a track record of successful issue resolution.
Experience applying Variation Reduction methodologies.
In-depth knowledge of Vehicle Manufacturing Processes.
Ability to work effectively in a cross-functional team environment.
Strong communication and interpersonal skills.
#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.
]]>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.)
]]>The Role
General Motors has needs for qualified Stationary Engineer/Boiler Operator Journeypersons. Working under minimal supervision, the skilled trades Stationary Engineer Journeyperson is responsible for operating and maintaining gas fired boilers, large centrifugal and reciprocating air compressors, heat exchangers, water softeners, chilled water systems, cooling towers, wastewater systems, high quality water systems, and/or other related equipment found in an industrial powerhouse.
Primary Responsibilities:
Follow established safety procedures according to OSHA standards and company procedures
Responsible for the maintenance and repair of assigned equipment
Analyze and troubleshoot malfunctions in equipment and related components, diagnosing and correcting the problems quickly to avoid production delays
Perform preventative and corrective maintenance on all assigned equipment
Participate in continuous improvement activities
Read and interpret blueprints
Basic computer skills
Interested individuals must meet the following minimum qualifications:
At least six (6) years of related experience as a Stationary Engineer/Boiler Operator or a U.S Department of Labor Certificate of Completion as a Stationary Engineer.
Must be able to satisfactorily complete the General Motors hiring process requirements which includes comprehensive assessments, drug testing, and a background check
At least 18 years of age
Eligible to work in the United States
Must be willing to work flexible shift hours and day, afternoon, or night shift as well as overtime hours daily, weekends and holidays on those shifts with little notice
GM DOES NOT PROVIDE IMMIGRATION-RELATED SPONSORSHIP FOR THIS ROLE. DO NOT APPLY FOR THIS ROLE IF YOU NEED OR WILL NEED GM IMMIGRATION SPONSORSHIP TO WORK OR TO REMAIN EMPLOYED AT GM (e.g., H-1B, TN, STEM OPT, etc.).
If you are a current GM employee operating under a collective bargaining agreement, please contact your local HR/LR for employee placement opportunities.
Physical Requirements
Please note – per the labor agreement between GM and the UAW, GM may share information and documentation relating to the credentials of applicants for this position (e.g., resumes, journeyperson cards, interview notes, certificates, etc.) with UAW personnel who have a need to know as part of their role on the UAW skilled trades team.
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
General Motors is transforming the transportation industry through advanced electrical architectures, high-performance computing, and the integration of ADAS and infotainment capabilities. GM’s Software-Defined Vehicle 2.0 (SDV2) platform is our next-generation centralized computing architecture. At the heart of this transformation is an in-house designed, liquid-cooled central compute unit that enables faster development cycles, more efficient software updates, and seamless scalability across every GM brand.
As an Electrical Hardware Engineer - Compute Validation, you will play a key role in the validation and release readiness of next-generation high-compute ECUs that enable automated driving, vehicle intelligence, and immersive digital experiences. This role is intended for an experienced engineer who can independently drive validation activities across prototype and production-intent hardware, with direct ownership of environmental and EMC validation planning, execution, issue tracking, and closure. You will work cross-functionally with design, systems, software, mechanical, manufacturing, and vehicle integration teams to ensure robust hardware performance across real-world automotive conditions.
Key Responsibilities
Compute Validation Ownership
Environmental and EMC Ownership
Bring-Up, Debug, and Test Execution
Cross-Functional Collaboration
Quality and Compliance
Required Qualifications
Preferred Qualifications
#LI-JK3
]]> The Role:
General Motors is a global leader in advanced driver assistance. With Super Cruise hands-free technology in more than 500,000 Super Cruise-equipped vehicles on the road, and over 700 million hands‑free miles driven, GM is proving that automation can be trusted, intuitive, and helpful. GM has the global reach to bring cutting‑edge advances to everyday drivers at an unprecedented scale. Join us to help deliver the next generation of safe and delightful personal autonomous vehicle experiences.
About the Organization:
The Evaluation team builds and evolves the evaluation ecosystem that powers developing and scaling GM’s autonomous driving technology. We develop metrics, automated workflows, and analysis approaches that enable data-driven decisions across AV development and verification. Partnering with Autonomy, Simulation, Systems, and Safety teams, we act as system-level integrators and arbiters of end-to-end AV quality. We own large scale test scenario libraries, continuous evaluation pipelines, and critical risk assessment and release gating components, treating road testing, data mining, training, and metrics as first-class use cases in a unified analytics framework. By joining this team, you will help shape GM’s core evaluation platforms, turn system-level results into clear feedback, and help accelerate validated AV deployment at scale.
What You’ll Do:
Architect large-scale evaluation pipelines that quantify the accuracy and reliability of simulation tests used for autonomous vehicle software validation.
Lead cross-functional initiatives with Autonomy, Systems Engineering, Simulation, and Data teams to tightly integrate team-owned evaluation products into regular development workflows and release decision processes.
Invent novel methodologies and deliver implementation to quantify and characterize the trustworthiness and effectiveness of simulation testing and evaluation products at scale.
Drive technical roadmaps and strategic priorities while partnering cross-functionally to integrate new simulation technologies aligned with AV goals.
Own and refine key simulation evaluation metrics and KPIs used for readiness and safety decisions; synthesize and present results and tradeoffs to stakeholders; make insights readily available to partner teams through interactive dashboards.
Maintain a high technical standard through architectural design, design reviews, and code reviews, setting patterns and best practices for the broader team.
What You Must Have:
7+ years of applied experience developing complex evaluation, simulation, or test frameworks.
Proficient in developing Python for production systems, including unit testing, code review, performance tradeoffs, and reliability best practices.
Proven cross-team technical leadership, including defining strategies adopted by multiple teams and influencing system and architecture decisions.
Strong written and verbal communication, driving decisions, communicating risk, and giving constructive feedback to diverse stakeholders.
Bachelor’s or higher degree in Computer Science, Engineering, or equivalent experience.
What Will Give You a Competitive Edge:
Experience in autonomous driving or high-stakes field robotics; designing, running, and interpreting large-scale simulation and field experiments.
Experience working on test strategies and validation for safety-critical products.
A strong, data-driven curiosity to investigate anomalies and systematically root-cause discrepancies.
Familiarity with SQL, time-series data analysis, performance monitoring tools and dashboarding systems (e.g., Looker, Streamlit).
“Company Vehicle: Upon successful completion of a motor vehicle report review, you will be eligible to participate in a company vehicle evaluation program, through which you will be assigned a General Motors vehicle to drive and evaluate. Note: program participants are required to purchase/lease a qualifying GM vehicle every four years unless one of a limited number of exceptions applies.”
Compensation:
The expected base compensation for this role is: $157,100 - $246,500. Actual base compensation within the identified range will vary based on factors relevant to the position.
You also need to include general information about potential commissions, if applicable.
Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.
Benefits:
Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.
The 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.
This role is categorized as hybrid. This means the successful candidate is expected to report to Austin, TX or Warren, MI three times per week.
We are seeking a highly experienced Staff Software Engineer to provide technical leadership for GM’s Mobile Backend for Frontend (MBFF) platform and associated back-office integration architecture. This role is responsible for shaping the technical direction of the platform, driving engineering excellence across microservices and cloud-native systems, and leading the adoption of scalable DevOps and AI-enabled operational practices.
This engineer will serve as a senior technical leader across the MBFF domain, influencing architecture, reliability strategy, platform standards, and cross-team execution. The role requires deep expertise in Java-based microservices, Azure cloud platforms, observability, CI/CD, and modern software delivery, along with the ability to guide teams through complex technical decisions that improve speed, quality, and operational resilience.
Lead the architecture, design, and evolution of the MBFF platform and core microservices that support GM mobile ownership experiences.
Define and drive technical strategy for scalable APIs, orchestration services, integration patterns, and platform capabilities across REST, GraphQL, WebSockets, and event-driven systems.
Establish engineering standards for service reliability, resiliency, observability, security, and operational readiness across the MBFF ecosystem, including clear SLOs, SLAs, and service health expectations.
Drive DevOps maturity by defining and improving CI/CD standards, release automation, progressive delivery, environment strategy, and production support practices across teams.
Champion AI-enabled engineering and operations by applying intelligent tooling for code generation support, anomaly detection, operational analysis, incident triage, capacity forecasting, and engineering productivity improvements.
Partner with product, architecture, security, SRE/operations, and dependent engineering organizations to align platform direction with business priorities and enterprise standards.
Guide complex design reviews, production readiness reviews, incident reviews, and modernization initiatives to improve reliability, delivery speed, and maintainability.
Mentor senior engineers and act as a force multiplier across the organization by raising technical quality, improving decision-making, and strengthening engineering execution.
Identify opportunities to reduce platform complexity, improve reuse, standardize patterns, and accelerate onboarding and delivery across MBFF services.
Ensure architecture, APIs, and platform workflows are well documented and supported by clear technical standards, playbooks, and governance.
Your Skills & Abilities (Required Qualifications)
Bachelor’s degree in Computer Science, Engineering, or related field, or equivalent practical experience.
8+ years of software engineering experience, including significant expertise in Java and Spring Boot microservices.
Demonstrated experience leading architecture and technical direction for distributed systems or platform-level backend services.
Deep experience designing and operating scalable microservices, APIs, and cloud-native applications in production environments.
Strong hands-on experience with Azure cloud services, Kubernetes-based deployments, and modern DevOps practices.
Proven ability to define and improve CI/CD pipelines, release practices, observability strategy, and operational excellence standards.
Strong understanding of software quality practices including TDD, automated testing, code review discipline, and engineering governance.
Strong database experience with SQL technologies such as Oracle or PostgreSQL.
Excellent communication, technical leadership, and cross-functional collaboration skills.
What Will Give You a Competitive Edge (Preferred Qualifications)
Experience leading platform modernization, reliability engineering, and operational maturity initiatives across multiple services or teams.
Expertise with Azure services such as AKS, API Management, Functions, Cosmos DB, SQL Database, Azure Monitor, and Application Insights.
Exposure to Google Cloud Platform (GCP) is a plus.
Strong experience with observability platforms such as Datadog, Grafana, Prometheus, Loki, OpenTelemetry, and distributed tracing solutions.
Experience applying AI-enabled practices in software engineering, platform operations, incident management, and developer productivity workflows.
Experience with GraphQL, WebSockets, service mesh, API gateway patterns, and event-driven architecture.
Strong understanding of security architecture including OAuth2, JWT, identity integration, secrets management, and secure service-to-service communication.
Familiarity with GM mobile platforms, enterprise back-office systems, or large-scale customer-facing backend ecosystems.
Experience driving technical mentoring, architectural alignment, and engineering standards across senior individual contributors and multiple delivery teams.
Strong strategic thinking, problem-solving, and execution leadership in Agile environments.
GM does not provide immigration-related sponsorship for this role. Do not apply for this role if you will need GM immigration sponsorship now or in the future. This includes direct company sponsorship, entry of GM as the immigration employer of record on a government form, and any work authorization requiring a written submission or other immigration support from the company (e.g., H1-B, OPT, STEM OPT, CPT, TN, J-1, etc.)
This role may be eligible for relocation benefits.
#LI-KB1
]]>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.
New Phd Graduate, 1-3 years experience, individual contributor
· Technical Expertise:
· Professional Skills:
· Additional Information: This position may be eligible for relocation benefits.
]]>We are seeking a highly motivated Electric Drive & Transmission Systems Development Engineer to plan, develop, and execute subsystem-level testing within a world-class engineering development and validation environment. This role is responsible for supporting electric drive and transmission system development through test execution, data analysis, calibration development, and identification of opportunities to improve testing efficiency through automation and data reduction. The successful candidate will also contribute to the transition from traditional lab-based testing to virtual, model-based development approaches. This position requires strong technical acumen, creativity, initiative, and independent judgment, as well as the ability to collaborate effectively across cross-functional teams to deliver high-quality engineering solutions.
Key Responsibilities
Required Skills and Experience
Preferred Skills and Experience
Education and Training
General Motors is transforming the future of mobility while operating one of the world’s most complex manufacturing environments. The Manufacturing Cybersecurity team helps protect the technology, systems, and data that keep GM plants safe, resilient, and productive.
As a Manufacturing Cybersecurity Engineer, you’ll build and operate the data foundation that enables OT cyber-risk visibility across GM manufacturing. You’ll develop reliable data-ingestion and ETL solutions that consolidate vulnerability, asset, configuration, and security telemetry from plant systems, cybersecurity tools, enterprise platforms, and other sources into the Databricks Lakehouse Platform. Using Python, SQL, scripting, and data-quality practices, you’ll transform, validate, monitor, and troubleshoot pipelines, then translate complex technical data into actionable insights through Power BI or similar dashboards and reports.
This is a hands-on Level 6 individual contributor role. You’ll exercise independent judgment to resolve non-routine data and cybersecurity problems, propose process improvements, and coordinate delivery across cybersecurity, manufacturing, plant, data engineering, and technology stakeholders. Your work will help plant teams prioritize remediation, reduce OT exposure, and make informed decisions without disrupting production.
What You'll Do
Design, develop, operate, and maintain dependable data ingestion and ETL pipelines that consolidate OT vulnerability, asset, configuration, and cyber-risk data from multiple sources.
Develop Python, SQL, and scripting solutions for data extraction, transformation, validation, enrichment, automation, and analysis.
Establish data-quality checks, reconciliation routines, monitoring, alerting, and troubleshooting procedures that improve data completeness, accuracy, timeliness, and reliability.
Identify, assess, track, and report OT cybersecurity risks and vulnerabilities across plant systems and networks, supporting risk-based prioritization and remediation planning.
Develop and maintain Power BI or similar dashboards, reports, metrics, and visualizations that communicate exposure, trends, control coverage, remediation progress, and operational performance.
Translate complex technical and security data into clear insights and recommendations for plant teams, cybersecurity stakeholders, manufacturing leadership, and technology partners.
Partner with cybersecurity, manufacturing engineering, plant operations, data engineering, and technology teams to define requirements, resolve data issues, and deliver cross-functional solutions.
Document data sources, data models, pipeline logic, controls, lineage, operating procedures, and troubleshooting guidance in a clear and maintainable format.
Automate repeatable data preparation, analysis, and reporting processes while applying appropriate security, privacy, access-control, and data-governance practices.
Propose and deliver process improvements that increase visibility, reduce manual effort, improve reporting consistency, and strengthen OT vulnerability management.
Communicate status, risks, dependencies, findings, and recommendations clearly; follow issues through resolution and escalate potential impacts early.
Your Skills & Abilities (Required Qualifications)
Bachelor’s degree in Computer Science, Cybersecurity, Information Technology, Data Engineering, Engineering, or a related field, or equivalent relevant experience.
3+ years of professional experience in cybersecurity, data engineering, analytics, software engineering, manufacturing technology, or a related field.
Hands-on experience developing and supporting production data pipelines using Python, SQL, scripting, ETL, or data-ingestion technologies.
Experience integrating and validating data from multiple enterprise, plant, cybersecurity, or operational technology sources, with the ability to diagnose data-quality and pipeline issues.
Experience with OT or industrial control system cybersecurity, vulnerability management, asset inventory, security telemetry, or cyber-risk reporting.
Ability to work independently, exercise sound judgment, and resolve non-routine data and cybersecurity problems in a complex environment.
Ability to communicate technical findings clearly and collaborate effectively with cybersecurity, manufacturing, plant, data engineering, and technology stakeholders.
What Can Give You A Competitive Advantage (Preferred Qualifications)
Experience with Databricks, Delta Lake, Spark, cloud data platforms, Lakehouse architecture, or similar technologies.
Experience developing Power BI or similar dashboards, reports, metrics, and visualizations for technical, operational, or executive audiences.
Experience working in a manufacturing, plant, industrial automation, or other operational technology environment.
Familiarity with PLCs, HMIs, SCADA, industrial networks, or comparable systems.
Knowledge of data-governance practices, including data ownership, metadata, lineage, access controls, retention, quality standards, and documentation.
Familiarity with cybersecurity risk-management principles and frameworks such as the NIST Cybersecurity Framework, NIST SP 800-53, or ISO/IEC 27001/27002.
#LI-SB3
]]> 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
REQUIREMENTS : Bachelor's degree in Computer Science, Information System Engineering, Software Engineering, Electrical Engineering, or related field of study. Five (5) years of experience as an Infotainment Test Automation Engineer, Software Quality Assurance Analyst, Programmer Analyst, or related occupation. OR Master’s degree in Computer Science, Information System Engineering, Software Engineering, Electrical Engineering, or related field of study. Three (3) years of experience as an Infotainment Test Automation Engineer, Software Quality Assurance Analyst, Programmer Analyst, or related occupation. Three (3) years of experience in the following: Testing Android based Apps that work on an Embedded system; Software quality assurance and test experience in automotive industry; Automotive testing; Continuous Integration Testing under a CI/CD pipeline; Jenkins and CI/CD automation servers; Scrum and Agile Software development process; Flashing images and setting up hardware for embedded systems; and Vehicle communication network protocols including CAN, MOST, and Ethernet. Two (2) years of experience in the following: Writing scripts with Python, Java, Kotlin for test cases that run under a Continuous Testing Framework.
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]]>What You’ll Do
Your Skills & Abilities (Required Qualifications)
What Will Give You a Competitive Edge (Preferred Qualifications)
AI Disclosure:
As part of the application process, Artificial Intelligence will be used in the hiring process for this role
Hybrid:
This role is categorized as hybrid. This means the successful candidate is expected to report to Markham or Oshawa office three times per week, at minimum
Job Description Summary
General Motors is seeking a Technical Expert to advance next-generation virtual thermal system development. This role will help create fast-running, physics-based models of complete vehicle thermal systems and connect those models with advanced controls, vehicle sensor data, and AI-enabled engineering workflows.
The selected candidate will work on large, cross-functional projects spanning battery electric, plug-in hybrid, internal-combustion, and hybrid-electric vehicle architectures. The work will connect high-fidelity analysis, 1D plant models, reduced-order and fast-running models, model predictive control, state estimation, and vehicle-level validation into a scalable virtual development process.
This is an opportunity for a recent Ph.D. graduate who is willing to work in high-impact engineering programs while developing into a recognized technical leader in vehicle thermal systems, controls, and model-based engineering.
Responsibilities
Required Qualifications
Preferred Qualifications
Compensation:
The salary range for this role is $80,000 to $85,000 per year. 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:
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.
]]>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).
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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.
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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.
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]]>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
Sponsorship:
GM DOES NOT PROVIDE IMMIGRATION-RELATED SPONSORSHIP FOR THIS ROLE. DO NOT APPLY FOR THIS ROLE IF YOU WILL NEED GM IMMIGRATION SPONSORSHIP (e.g., H-1B, TN, STEM OPT, etc.) NOW OR IN THE FUTURE.
Onsite: This role is categorized as onsite. This means the successful candidate is expected to report to Saginaw, MI on a full-time basis.
Relocation:
This job may be eligible for relocation benefits.
The Role:
The Controls Systems Engineer is an individual contributor that is creative, highly motivated, agile thinker with a passion for automation. The ideal candidate has a background in electrical or computer engineering with strong programming skills and can perform at a high level in a fast paced, high volume manufacturing facility. This person shall be comfortable supporting manufacturing processes on the production floor. As a Controls Engineer you will be addressing production issues alongside quality, manufacturing, and maintenance teams. Additionally, you will be expected to maintain and improve existing production processes by using continuous improvement and problem solving techniques.
What You'll Do (Responsibilities):
Configure, program, test and troubleshoot PLC based control systems and associated components.
Electrical troubleshooting and testing of controls systems, control panels, and associated equipment
Diagnose and correct deficiencies in manufacturing processes and equipment.
Develop innovative solutions.
Design and deploy intuitive user interface displays.
Propose and evaluate manufacturing processes and equipment.
Support and actively interact with manufacturing and quality groups.
Continuously improve quality, cost, responsiveness, safety.
Design, construction, integration, plant installation, successful launch and continuous improvement of the electrical and control aspects of equipment and tools required for vehicle manufacturing.
Ability to learn new skills, and coach / mentor others on control related issues, using a hands-on approach.
Communicate effectively and work collaboratively with all stakeholders.
Your Skills and Abilities (Required Qualifications):
Strong work ethic (self-starter, responsible, follow through on assignments)
Demonstrated initiative by reaching beyond work assigned to improve output and/or help others.
Strong technical knowledge of electrical/control systems and the ability to apply these concepts within a manufacturing environment.
Experience in PLC and HMI programming, Ethernet and/or DeviceNet networks.
Knowledge of servo motors, motion control and drives.
Experience with Fanuc robot setup and programming.
Demonstrated understanding of mechanical concepts involving machine designs, process requirements involved in the manufacturing process.
Ability to use computer, interpret blueprints, engineering drawings and learn new systems.
What Can Give You a Competitive Edge (Preferred Qualifications):
Bachelor of Science in Electrical or Computer Engineering, or related field, or equivalent experience
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.
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]]>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
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.
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]]>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
]]>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:
Responsible for requirements definition, design, engineering development, product release, launch, and technical leadership for seating system components, including head restraints, seat armrests, and seat heating and ventilation systems . Applies creativity, initiative, and independent judgment to deliver robust designs across vehicle development programs. Experience developing and integrating seating systems or components through multiple vehicle launches is preferred.
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.)
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]]>The Role
General Motors is seeking a Manager, Product Research - Product Experience Clinics & KPIs to lead a team of researchers and/or analysts within Global Customer Research (GCR) Product Research. This leader will bring the voice of the customer into GM’s vehicle software, digital experiences, features, and emerging technologies.
The Manager partners with Program Management and Software Product teams to understand and anticipate customer needs, vehicle-usage contexts, and experience opportunities in, on, and around the vehicle. The role supports the development of planned customer experiences—software-orchestrated coordination of vehicle features—that meet customer needs and exceed expectations, enabling meaningful innovation and industry-leading CX/UX.
This role is ideal for a customer-centered research leader who combines strong project execution and people leadership with the ability to turn complex customer learning into clear product direction. The successful candidate will serve as a trusted research partner to stakeholders, guide a portfolio of bespoke research, and develop a capable team that delivers rigorous, timely, and actionable insight.
What You’ll Do
Partner with product and program teams
Build trusted working relationships with Program Management and Software Product stakeholders; understand their priorities, decision timelines, and customer-learning needs.
Translate stakeholder priorities into research plans aligned to product-development milestones and the broader GCR research roadmap.
Lead framing conversations that clarify the business decision, target customer, learning objectives, scope, success measures, and intended use of findings.
Partner with stakeholders to develop dual-use stimuli that support internal decision-making and customer research, creating a clear connection between product intent and customer feedback.
Represent the customer perspective in cross-functional forums and provide a clear, evidence-based point of view.
Lead customer research that informs product decisions
Plan, design, and execute bespoke qualitative, quantitative, and mixed-method research that provides timely, actionable insight for Software Product and Program Management partners.
Lead foundational, benchmarking, and contextual research to inform product requirements, experience design, feature prioritization, usability evaluation, validation, and launch readiness.
Plan and execute pre-launch confirmatory and market-assurance experience studies; identify opportunities to improve user experiences before late-stage decisions are fixed.
Select appropriate approaches, including interviews, ethnography, usability testing, in-vehicle evaluation, journey research, concept and feature testing, surveys, and competitive benchmarking.
Translate learning into concise, decision-ready deliverables that clearly communicate customer needs, implications, opportunities, and recommended actions.
Ensure read-across analyses are completed when opportunities exist to synthesize learning across studies, customer themes, product areas, or technology domains.
Lead people, projects, and resources
Directly lead, coach, and develop researchers and/or analysts; set clear goals and expectations, provide timely feedback, and support professional growth.
Build a high-performance culture characterized by customer focus, intellectual curiosity, collaboration, accountability, constructive challenge, and continuous improvement.
Manage an assigned portfolio, including priorities, work plans, milestones, budget, supplier support, and stakeholder expectations.
Direct study materials, suppliers, logistics, fieldwork, analysis, reporting, and stakeholder follow-through to meet agreed scope, timing, quality, and budget expectations.
Provide clear status communication to leadership and stakeholders; surface material risks, scope changes, trade-offs, and resource needs early.
Manage research suppliers, budgets, schedules, tools, and facilities in accordance with GM processes and policies.
Your Skills & Abilities (Required Qualifications)
Bachelor’s degree.
7+ years of relevant experience.
Working knowledge of vehicle or product-development processes and the role of customer research in product and program decision-making.
Experience leading primary research projects or serving as a primary stakeholder for primary research, from framing through application of findings.
Demonstrated people-leadership experience, including setting goals, coaching, and developing team members.
Demonstrated ability to manage multiple projects, priorities, schedules, and stakeholders in a complex, changing environment.
Excellent written and verbal communication skills, with the ability to create clear, concise, and actionable research deliverables.
Strong presentation, facilitation, and persuasion skills; able to communicate effectively with technical, business, program, and leadership audiences.
Proficiency using AI-enabled tools to improve the speed, quality, and effectiveness of research and day-to-day work.
High degree of creativity, resourcefulness, and sound critical thinking, with strong problem-solving, organizational, and stakeholder-management skills.
What Will Give You a Competitive Edge (Preferred Qualifications)
Software product development experience.
Post-graduate degree.
Direct market research experience across quantitative and qualitative methodologies.
Experience in automotive, mobility, connected services, consumer technology, digital products, or other complex hardware-software ecosystems.
Experience conducting UX research related to in-vehicle experiences, human-machine interfaces, connected services, or emerging vehicle technologies.
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.)
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]]>As a Lead System Integration Engineer – Enterprise Transformation, you will design, build, and scale enterprise integrations and data pipelines that modernize how systems work together across General Motors. From the software and core IT side of the transformation, you will focus on connecting Google Workspace, SaaS platforms, enterprise AI tools, and GM’s core business systems through secure, reusable, and scalable integration patterns.
This role is a strong fit for an experienced engineer who can independently deliver complex integration solutions, translate business and technical requirements into practical system designs, and build supportable, production-ready pipelines that align with enterprise standards. You will partner closely with product, engineering, technical program management, security, and business stakeholders to enable reliable data flow, workflow continuity, and platform interoperability across GM, while contributing reusable patterns that can be adopted broadly across the enterprise.
This job may be eligible for relocation benefits.
GM DOES NOT PROVIDE IMMIGRATION-RELATED SPONSORSHIP FOR THIS ROLE. DO NOT APPLY FOR THIS ROLE IF YOU WILL NEED GM IMMIGRATION SPONSORSHIP (e.g., H-1B, TN, STEM OPT, etc.) NOW OR IN THE FUTURE.
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 $202k–$310k 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.
]]>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. *
]]>
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.
]]>Buick GMC
Help shape the future of two iconic brands as they continue to evolve through innovation, premium experiences, and advanced mobility solutions. As part of Buick & GMC’s Sales Team, you'll partner directly with dealerships to drive business performance, launch new technologies and vehicles, and deliver exceptional customer experiences across the Buick and GMC portfolio. This fast-paced, relationship-driven role offers the opportunity to influence outcomes, solve complex business challenges, and play a key role in the future of automotive retail.
The Role
As a District Sales Manager, you'll help lead the transformation of the automotive industry by connecting dealers with the products, technologies, and strategies shaping the future of mobility. You'll work side-by-side with dealer partners to deliver business results, accelerate EV adoption, enhance customer experiences, and bring innovative solutions to market. If you're energized by change, passionate about people, and motivated by making a measurable impact, this role offers a front-row seat to the future.
What You’ll Do
Your Skills & Abilities (Required Qualifications)
What Can Give You a Competitive Advantage (Preferred Qualifications)
AI Disclosure: As part of the application process, Artificial Intelligence will be used in the hiring process for this role
This role is categorized as hybrid. This means the successful candidate is expected to report to the Markham Elevation Centre or the Oshawa Elevation Centre at least three times per week.
The Team & Opportunity
The Enterprise Data team is responsible for supporting and modernizing the data platforms that enable analytics, artificial intelligence, customer engagement, strategic planning, and other enterprise capabilities across GM.
We are building a new team to support the existing legacy environment while migrating and transforming the architecture to a cloud-based platform. This role will help establish the engineering standards, reusable platform capabilities, delivery automation, and operational practices required for a secure, scalable, governed, and reliable cloud data ecosystem.
The ideal candidate combines strong data engineering fundamentals with cloud platform engineering, automation, and production operations. They are comfortable working across architecture, development, infrastructure, security, quality engineering, and incident response to deliver sustainable data products and services.
The Role
As a Data Engineering, Cloud Migration & Platforms Engineer, you will design, build, migrate, automate, and support data platforms and pipelines across on-premises and cloud environments. You will contribute to the modernization of Oracle-based enterprise data workloads, develop cloud-native data solutions, and help create the engineering foundation for governed analytics and AI.
This role combines data engineering and platform engineering responsibilities, including data pipeline development, cloud infrastructure as code, CI/CD, environment promotion, security and access controls, observability, reliability engineering, testing, documentation, and operational support. The specific cloud implementation may be Azure, Google Cloud Platform, or a multi-cloud architecture, depending on platform direction and business requirements.
Key Responsibilities
Required Qualifications and Skills
Preferred Qualifications
Compensation:
The salary range for this role is $97,800 to $146,600. 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.
]]>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
]]> 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. The successful candidate is expected to report to the Oshawa Elevation Centre (OEC) three times per week at minimum, or other frequency dictated by the business and by assignment.
The Role:
VSSM Canada is hiring co-op students to support Vehicle Sales, Service & Marketing. Each co-op collaborates across multiple VSSM functions — including Retail Operations, Distribution, Data & AI, Field Teams, the Dealer Organization, and Operations Finance — to build a well-rounded, end-to-end understanding of how GM Canada goes to market. The cohort works both independently within host teams and collaboratively as a group on shared, cross-functional projects that improve VSSM-wide efficiency and workflows. Expect frequent interaction with leaders across multiple VSSM functions and with GM Canada's Leadership Team.
Key Responsibilities:
· Organization, and Operations Finance), gaining a full Vehicle Sales & Service Management (VSM) experience
· Support host teams with data-informed insights, ranging from dealer sales and inventory analysis to distribution, field performance, and finance reporting
· Contribute to a simplified, centralized reporting ecosystem shared across VSSM functions
· Participate in a cohort-wide collaborative project focused on cross-functional process efficiency and workflow improvements
· Take an active role in planning and implementing sales, retail, and operational strategies alongside host teams
· Assist with retail incentive program evaluation, analytics, and insight generation
· Conduct competitive analysis and market insights (online and in-person)
· Assist with the development of sales, retail, and marketing materials for a range of internal and dealer-facing stakeholders
· Support employee, dealer, and field communications across the functions the cohort touches
· Coordinate activities across functions including Retail, Brand Marketing, Distribution, Dealer Organization, and Digital Innovation
· Enthusiastically embrace special assignments and new projects as they arise across any VSSM function
Required Qualifications:
· Currently pursuing a Bachelor's degree in Business, Finance, Financial Analytics, Data Science, Marketing, Data Analytics, or a related field
· Able to work full-time, 40 hours per week for a 12-month term (consecutive semesters) starting January 2027
Preferred Qualifications:
· Previous related experience in business analysis, sales, marketing, finance, or operations — through work experience or prior co-op/internship terms
· Previous experience in the automotive industry, or a strong curiosity about it
· Comfortable working across multiple teams, leaders, and stakeholders in a matrixed environment
· Willingness to travel across GM Canada's VSSM functions/locations as projects require, and openness to relocation across Canada should full-time opportunities be offered
Have a valid Full Class G Ontario driver's license, or equivalent Canadian out-of-province license
Desired Skills:
Interpersonal & Collaboration
· Outstanding interpersonal and relationship-management skills, with the ability to build effective working relationships across across-functional organization and with varying levels of leadership
· Strong team-orientation and ability to collaborate with peers across the co-op cohort on shared projects
Communication & Presentation
· Excellent written and verbal communication skills, with the ability to simplify complex information for broad audiences
· Strong presentation skills, with the ability to tailor messaging for stakeholders ranging from field and dealer teams to GM Canada's Leadership Team
Critical Thinking & Problem Solving
· High ability to deal with ambiguity; takes initiative and is self-directed, particularly when moving between functions
· Strong critical thinking, problem-solving, and organizational skills, applied across varied functional contexts (retail, distribution, dealer, finance, field)
· Consistently demonstrates innovative, customer-centric thinking
· Evidence of strong character, with integrity, honesty, accountability, and trust
· Excellent project management skills, with a proven ability to manage multiple concurrent projects at any given time
Data & Analytics
· Strong data analysis and data-storytelling skills, able to generate insights from sales, dealer, distribution, and finance data sets
· Possesses strong analytical skills to support decision-making across multiple VSSM functions
Technical & AI Skills
· Automate Reporting Workflows: Leverage tools such as Power Automate to streamline data collection and distribution of insights across VSSM functions
· Data Orchestration: Assist in transitioning legacy spreadsheets to a Databricks-backed environment to enable more scalable, real-time analysis and forecasting
· AI Proficiency: Familiarity with enterprise AI search tools (e.g., Glean) and low-code automation platforms (e.g., Power Automate) to drive operational efficiency
· Modern Data Stack: Exposure to big data environments like Databricks for handling large-scale automotive datasets beyond standard Excel limitations
· Fundamental digital literacy, including MS Outlook, Word, and PowerPoint, with an emphasis on Excel and Power BI
NOTE - YOU MUST BE ENROLLED IN A CO-OP PROGRAM AND MEET THE PROGRAM’S ELIGIBILITY REQUIREMENTS. ALL STUDENTS MUST ALSO BE LEGALLY ENTITLED TO WORK IN CANADA.
The salary range for this role is $4264- $4784 CAD. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.
THIS JOB IS NOT ELIGIBLE FOR RELOCATIONS BENEFITS. ANY RELOCATION COSTS WOULD BE THE RESPONSIBILITY OF THE SELECTED CANDIDATE.
GM DOES NOT PROVIDE IMMIGRATION-RELATED SPONSORSHIP FOR THIS ROLE. DO NOT APPLY FOR THIS ROLE IF YOU WILL NEED GM IMMIGRATION SPONSORSHIP NOW OR IN THE FUTURE
Accommodation is available for applicants with disabilities. Should you be contacted by General Motors of Canada Company, please advise if you require accommodation.
For more information about GM Canada, visit our website at www.gm.ca/careers
General Motors of Canada values diversity and is an equal opportunity employe
About the team
Our team builds the digital commerce experiences that support how customers discover, buy, subscribe to, and manage GM products and services. We work across qualification, catalog, cart, checkout, billing, payments, subscriptions, orders, and customer account journeys, partnering closely with product, design, architecture, and operations teams to deliver reliable, scalable experiences. We are looking for engineers who pair strong software fundamentals with practical AI-assisted development habits to move faster, raise quality, and help the broader team work better.
The Role
We are hiring a Sr Software Engineer with demonstrated ability to use AI as a force multiplier for software development in digital commerce environments. This role is ideal for a hands-on engineer who can use AI-assisted workflows to improve delivery speed and quality, build reliable low-latency services, and strengthen team productivity through better engineering practices.
Your Skills & Abilities (Required Qualifications)
What Will Give You A Competitive Edge (Preferred Qualifications)
Additional Information:
This job may be eligible for relocation benefits.
COMPENSATION : The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of the California Bay Area.
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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
The Machine Tooling Stamping (MTS) Program Manager plays a critical role in supporting tooling and manufacturing initiatives from concept through launch and continuous improvement. This position is responsible for managing Statements of Requirements (SORs), leading project activities for tooling and manufacturing technologies, and ensuring successful integration of equipment, processes, and systems that enable the production of high-quality stamped components.
Working across engineering, manufacturing, suppliers, and plant operations, the role drives manufacturing process definition, sequence of operations, material flow, and human factors considerations while maintaining program timing and deliverables. The individual provides technical leadership to the MTS engineering team, oversees vendor activities, conducts tool run-off and buyoff processes, and helps develop and implement advanced manufacturing technologies that improve operational performance, quality, and efficiency.
What You'll Do (Responsibilities):
· This role will work within MTS (machine tooling stamping) and will require comprehensive knowledge of program management.
· The position demands cross-functional collaboration across headquarters, common plants, and our manufacturing operations.
· Conducting part run-off and buyoff processes for customers.
· Providing technical direction to the MTS engineering group.
· Communicating effectively and working collaboratively with all stakeholders.
· Develop, maintain, and communicate an integrated program schedule, ensuring alignment of engineering, manufacturing, procurement, validation and delivery milestones.
· Maintaining working contacts with vendors, other internal engineering disciplines and management at plants and headquarters.
Your Skills & Abilities (Required Qualifications):
· 5+ years of experience managing projects.
· Ability to understand and assess complex Engineering issues.
· Proficient in Google Workspace, Microsoft Excel, PowerPoint, SharePoint, MS Office suite.
· Ability to multi-task, supporting several projects with various priority levels.
· Strong organization skills – managing Information from multiple locations and sources.
What Can Give You a Competitive Edge (Preferred Qualifications):
· Examples of successful tool & die projects.
· Working knowledge of CNC machines, water-jet, laser and brake press equipment.
· Working knowledge of stamping dies and stamping process.
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).
Work Type:
This role is categorized as onsite. This means the selected candidate is expected to report to a specific location on a full-time basis.
]]> 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 Manager, Customer Support & Data Analytics – Fleet will lead a team responsible for designing, monitoring, and continuously improving the end-to-end customer support experience for GM’s Fleet and Commercial connected vehicle customers, including large rental and corporate fleet accounts. You will leverage customer case and connected vehicle data to identify recurring issues across fleet applications, APIs, connected vehicle platforms, and telematics services. Working closely with Product and Engineering teams, you will drive long-term solutions and develop tools, processes, and interim solutions to resolve complex customer and fleet management challenges.
Your goal is to ensure Fleet and Commercial support operations deliver a best-in-class customer experience, with a focus on customer satisfaction, first-contact resolution, and speed to resolution, while meeting the unique needs of large-scale, revenue-critical fleet accounts.
What You’ll Do
Your Skills and Abilities (Required Qualifications)
What Can Give You a Competitive Advantage (Preferred Qualifications)
REQUIREMENTS: Master's degree in Computer Science, Computer Engineering, or related field of study and One (1) year of experience as a Software Engineer, Software Developer, or related occupation OR Bachelor's degree in Computer Science, Computer Engineering, or related field of study and Three (3) years of experience as a Software Engineer, Software Developer, or related occupation One (1) year of experience with: Python and C++ for software development and Automation; Designing, developing, and validating of simulation environments, robotics systems, or autonomous system software; SQL or similar database querying tools, and data processing in large-scale computing environments; Machine Learning models and Computer Vision systems; and Cloud-based development environments for scalable software execution.
Compensation:
• The expected base compensation for this role is $176,000.00 to $234,100.00 Annually.
• Actual base compensation within the identified range will vary based on factors relevant to the position.
• Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.
#LI-DNI
]]>Seeking a creative, highly motivated, agile thinker with a passion for automation. The ideal candidate has a background in or exposure to 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.
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.
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 Type
Hybrid: This role is categorized as hybrid. This means the successful candidate is expected to report to either the Milford Proving Grounds OR the Global Technical Center three (3) times per week, at minimum.
The Role
Join the innovative and high‑impact Planar Motion Coordination team within Global Systems Engineering, Safety, and Validation as a Senior System and System Safety Engineer. Our team defines and delivers the Vehicle Dynamics State Estimation and Vehicle Dynamics Motion Control systems that shape how every GM vehicle performs on the road.
In this multi-disciplined role, you will own the Vehicle Dynamics State Estimation (VDSE) System functional safety deliverables and support system design and requirement definition. VDSE is a foundational technology that fuses sensor data to calculate the vehicle’s dynamic state (reference velocity, accelerations, tire forces, and more), even in the presence of faults. This system enables a wide range of advanced control features across GM’s global portfolio. Your work will directly impact vehicle safety and support GM’s vision of Zero Crashes, Zero Emissions, and Zero Congestion.
What You’ll Do
● Lead the definition and completion of the VDSE system safety case for GM vehicle programs.
● Define functional and performance requirements in collaboration with cross‑functional engineering and product teams.
● Employ varied analysis techniques including hazard analysis, fault tree analysis, interface analysis, failure mode and effects analysis (FMEA), and more.
● Support execution of new requirements and cascading roll‑down to impacted organizations, ensuring alignment and traceability.
● Guide confirmation of requirements through analysis, simulation, and physical testing (including HIL benches and vehicles).
● Utilize model-based systems engineering techniques to improve traceability, design quality, and variant management.
● Serve as the corporation’s subject matter expert for VDSE, influencing technology direction, integration strategies, and issue resolution.
What You’ll Need (Required Qualifications)
● Bachelor’s degree in Engineering, Mathematics, Computer Science, Physics or related field of study.
● 5+ years of relevant engineering experience, ideally in systems engineering or functional safety.
● Experience developing or integrating embedded control systems.
● Familiarity with ISO 26262 or other functional safety standards such as IEC 61508, IEC 62304, or DO-178C.
● Valid driver’s license with the ability to operate test vehicles as required.
What Will Give You a Competitive Edge (Preferred Qualifications)
● Experience in developing vehicle dynamics related products such as braking, steering, suspension, etc.
● Experience developing vehicle dynamics state estimation systems, controls architecture, or software.
● Experience owning an automotive functional safety case through a complete lifecycle.
● Understanding of distributed and networked real‑time control systems.
]]>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
]]>
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)
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
]]>At General Motors, we believe in engineering leaders who remain deeply technical and understand the challenges their teams are facing. The ideal candidate will be comfortable switching context from programming in C/C++, designing elegant software architectures, defining how to test, benchmark, and debug complex systems, engaging with third parties (including standards bodies and regulatory teams) and providing mentorship for staff and senior software engineers.
What you’ll do:
Your Skills & Abilities:
What will give you a competitive edge:
Compensation: The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position, as well as geography of the selected candidate.
• The salary range for this role is (Position 201,600- 309,900 from Pay Transparency Posting Salary Ranges). The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.
• Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.
Benefits:
• Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.
#LI-JK3
]]>The Data Scaling team owns the Data Flywheel for AV Foundation model development and successive fine tuning. It defines the composition of the data that is needed for the AV to learn behaviors at scale and deliver the driving behaviors necessary for the product success. The team owns the definition and processes for data quality across the data loop.
The team directly works on and delivers ML models to the product that successively go up the Data Scaling curves, thereby directly impacting AV product performance through smart use of data. As part of this work, the team builds scalable systems and pipelines that attempt to 10x the data used, its diversity and impact on the models with successive major releases. The team uses existing very large datasets that GM has access to internally as well as defines the next generation of highest value datasets that GM continues to collect – both from real driving by GM and retail fleets, but also synthetic sim-based datasets.
Why Join Us?
Scale up AV foundation model pre-training and fine-tuning with data to its maximum capacity – into billions+ of examples - across different sources, delivering the maximum value to the model through every additional example.
Work with cutting-edge technology and a collaborative, high-impact team of AI/ML engineers, data scientists and engineers who are passionate about leveraging advanced AI techniques to drive innovation for L2, L3 and L4 applications.
Contribute to the safety, reliability, and scalability of next-generation autonomous vehicles.
As a Staff AI/ML Engineer in the Embodied AI Data Foundations organization, you will serve as a senior individual contributor developing machine learning solutions, maximally leveraging multiple sources of data including real and synthetic datasets, that directly impact autonomous driving performance. You will design and implement advanced data curation and model training recipes the will deliver ML models that enabling safe and reliable vehicle behavior across diverse real-world scenarios.
In this role, you will partner closely with cross-functional engineering teams, contribute to core technical direction within your domain, and support the growth of engineers through technical collaboration and mentorship. You will help translate research into scalable onboard and offboard ML solutions while contributing to the continuous improvement of our autonomy stack.
What You'll Do
Design and implement ML solutions aligned with GM’s autonomous driving objectives.
Apply techniques such as unsupervised pre-training, imitation learning, reinforcement learning, model scaling/selection, foundation modeling, to solve problems in object detection/tracking/classification, trajectory generation, and safe AI.
Collaborate with cross-functional teams to deploy models and algorithms into onboard driving systems.
Contribute to applied research efforts and remain current with advancements in ML frameworks and methods.
Design and build efficient infrastructure, pipelines, and tooling to facilitate fast-pace model iterations.
Drive technical execution from prototyping through production deployment, documenting learnings and best practices.
Support and mentor engineers through technical collaboration and code reviews, fostering knowledge sharing and engineering excellence.
Your Skills & Abilities
Bachelor’s, Master’s, or PhD in Computer Science, Robotics, Machine Learning, or related field.
Experience working with large-scale foundation models and alignment methods applied to real-world systems.
Demonstrated ability to deliver applied ML solutions under real-world constraints and timelines.
Proficiency in PyTorch and Python.
Experience building and scaling model training pipelines enabling efficient iteration across teams.
Strong data processing skills using tools such as NumPy, Pandas, and Apache Spark.
Strong communication skills enabling effective collaboration across engineering teams.
Experience deploying ML models into production environments and understanding end-to-end deployment workflows.
Experience in robotics or autonomous driving systems preferred.
Remote/Hybrid: This role is categorized as fully remote or hybrid.
Compensation: The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of the California Bay Area.
The salary range for this role is $189,000 to $300,000. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.
Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.
Benefits:
Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.
Company Vehicle : Upon successful completion of a motor vehicle report review, you will be eligible to participate in a company vehicle evaluation program, through which you will be assigned a General Motors vehicle to drive and evaluate. Note: program participants are required to purchase/lease a qualifying GM vehicle every four years unless one of a limited number of exceptions applies.
Relocation: This job may be eligible for relocation benefits.
#LI-CX1
#GM-AV-1
]]>You will play a critical role in building scalable, reliable, and efficient systems that enable advanced user experiences, vehicle integration, and cloud-connected capabilities. This role requires strong technical expertise, ownership, and the ability to collaborate effectively across cross-functional teams.
What You'll Do:
Your Skills & Abilities (Qualifications):
What Will Give You a Competitive Edge (Preferred Qualifications):
Compensation: The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of the California Bay Area .
The salary range for this role is $160,000 and $200,000. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.
Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.
Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.
The General Motors Manufacturing Group is seeking to identify highly motivated and qualified individuals for current and potential future opportunities as a Group Leader. In anticipation of these openings becoming available, we welcome you to apply so we can begin the pre-screening and interview process.
The Role:
The Maintenance Group Leader will be responsible for leading a group of skilled, hourly workers to troubleshoot and repair complex equipment and processes. This position requires the ongoing application and enforcement of the National and Local UAW Agreements. Candidates must possess technical expertise to oversee and support maintenance operations, exercising independent judgment within the framework of Global Manufacturing Systems, with a focus on Safety, People, Quality, Responsiveness, Cost, and Environment (SPQRCE)
Selected candidates will gain the chance to develop new skills while contributing to the advancement of manufacturing processes that support the groundbreaking shift toward electric and autonomous vehicles.
What You'll Do (Responsibilities):
Specific physical requirements of the position include the ability to:
Your Skills and Abilities (Required Qualifications):
What Can Give You a Competitive Edge (Preferred Qualifications):
In this role, you will apply artificial intelligence to improve developer productivity, modernize engineering workflows, and advance toolchain capabilities across embedded software development. You will shape and deliver practical, production-grade AI capabilities that help engineers build, test, analyze, troubleshoot, and support complex software systems more effectively at scale.
This role is ideal for a recognized technical expert who thrives in ambiguity, works independently with broad latitude, influences key technical decisions, and leads large cross-functional efforts with broad visibility. You will partner across CI/CD, virtualization, systems engineering, calibration, platform, and software development teams to identify high-value opportunities and turn them into scalable solutions that improve engineering throughput, reliability, and user experience.
Our organization supports the end-to-end engineering toolchain that enables teams to define, develop, validate, calibrate, and release embedded software and systems. That includes engineering tools, build and test workflows, dashboards, automation, integrations, and engineering support platforms. As part of this team, you will help define how AI can be used responsibly and effectively in real engineering environments to improve speed, quality, and user experience.
What you’ll do
Additional job description
Your skills and abilities (required qualifications)
What can give you a competitive edge (preferred qualifications)
Why join us
This is an opportunity to shape how AI is applied in real-world engineering environments at scale. You will work on high-value problems at the intersection of developer productivity, toolchain modernization, automation, CI/CD, observability, and embedded software development. Your work will help engineering teams move faster, reduce friction, improve quality, and unlock new capabilities across a critical part of GM’s software development ecosystem.
You will join a team that is actively modernizing and scaling core engineering toolchains, including CI/CD robustness, workflow automation, dashboarding and observability, configuration and calibration workflows, and platform evolution. This role offers the opportunity to turn promising AI concepts into reliable, enterprise-ready capabilities that deliver measurable value.
Compensation: The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position, as well as geography of the selected candidate.
• The salary range for this role is ($160,200 - 246,300). The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.
• Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.
Benefits:
• Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.
#LI-JK3
]]>Come build the future of self-driving at GM. The Autonomous Vehicle Launch team is responsible for configuring, executing, and monitoring our autonomous driving applications. We develop onboard services that orchestrate on-vehicle activities across distributed computers. Our systems are among the first to start when a vehicle powers on and the last to shut down during power off. Our team interfaces with production vehicles, manufacturing lines, developer environments, cloud services, and more.
As an engineer in the AV Launch team, you’ll develop embedded applications and frameworks that provision, execute, instrument, and monitor our self-driving stack. You’ll collaborate with other teams to engineer onboard workflows and use cases. The systems you build will be deployed onto vehicles, hardware benches, and simulations. Your efforts will directly influence how other teams design and build the next generation of self-driving software at GM.
Job Responsibilities
Build on-vehicle services that provision, execute, and monitor autonomous vehicle software in development and production workflows
Build frameworks to configure self-driving software for a wide variety of simulation environments, hardware platforms, and use cases
Develop systems and frameworks to monitor vehicle status and exfiltrate data
Collaborate with colleagues across multiple teams and mentor other developers
Deliver complex projects through incremental development
Job Requirements
Bachelor’s degree in STEM field or relevant work experience
5+ years of experience building and shipping production-quality software, with a focus in Linux-based environments
Strong background in modern C++ and Python development
Experience working with and building tooling for large systems
A high standard and commitment to quality by designing for testability
Bonus Points
Track record of developing projects from initial design through customer release
Experience with robotics middleware platforms and related concepts, such as inter-process communication or logging
Compensation: The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of New York, Colorado, California, or Washington.
The salary range for this role is $153,200- $234,100. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.
Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.
Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.
Benefits:
Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.
The Role -
We are seeking an experienced and dynamic Product and Marketing Manager to drive the growth of the ACDelco brand and product portfolio in the Taiwan aftermarket. This role is crucial for leading the entire new product lifecycle, from initial concept to market launch, while significantly enhancing ACDelco's brand awareness and market presence through innovative marketing strategies.
Lead the new ACDelco product initial development proposal, identifying opportunities to expand the product line relevant to the Taiwan market.
Collaborate closely with the APC team to source and procure new products.
Oversee the successful launch of new products in the Taiwan market, including pricing, positioning, and inventory strategy.
Brand and Marketing Strategy
Lead the efforts to significantly increase ACDelco brand awareness across Taiwan.
Develop and execute comprehensive marketing campaigns across different channels to promote the brand and specific products.
Drive marketing content generation across various formats (digital, print, video) to support product launches and brand initiatives.
Utilize knowledge and skills on social platforms, live streaming, and other digital channels for effective brand communication and audience engagement.
Manage various brand promotion projects and initiatives from conception to execution.
Distribution Channel & Sales Collaboration
Lead and guide authorized ACDelco distributors to standardize the Corporate Identity (CI) and Visual Identity (VI) across all ACDelco authorized workshops to ensure brand consistency.
Collaborate with the sales team to design and execute effective seasonal sales campaigns and promotional activities to drive volume and market share.
Employ project management skills to ensure timely and budget-compliant execution of all product and marketing initiatives.
Your Skills & Abilities (Required Qualifications)
A minimum of 5 years of progressive experience in Aftermarket (automotive, parts, or related industry) or relevant marketing experience.
Demonstrated experience and proficiency in social media platform management and digital marketing.
Proven ability to generate compelling marketing content (written, visual, or video).
Experience with live stream platforms and strategy for product promotion or brand engagement is highly desirable.
Strong track record in project management, with the ability to manage multiple complex initiatives simultaneously.
Deep understanding of brand promotion techniques and strategic brand development.
Bachelor's degree in Marketing, Business Administration, or a related field.
Excellent communication, presentation, and interpersonal skills in Mandarin Chinese
Proven ability to work effectively in a cross-functional and regional team environment (e.g., with APC team, Distributors).
What Will Give You a Competitive Edge (Preferred Qualifications)
Excellent communication, presentation, and interpersonal skills in English
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
]]>If you are a current employee of General Motors working in a per diem, hourly, or regular salaried role, you must apply through the internal careers page. Please navigate to https://workday.gm.com and search for GM Find Jobs.
The General Motors Manufacturing Group is seeking to identify highly motivated and qualified individuals for current and potential future opportunities as a Group Leader. In anticipation of these openings becoming available, we welcome you to apply so we can begin the pre-screening and interview process.
Onsite: This role is categorized as onsite. This means the successful candidate is expected to report to Toledo on a full-time basis.
The Role:
The Maintenance Group Leader will be responsible for leading a group of skilled, hourly workers to troubleshoot and repair complex equipment and processes. This position requires the ongoing application and enforcement of the National and Local UAW Agreements. Candidates must possess technical expertise to oversee and support maintenance operations, exercising independent judgment within the framework of Global Manufacturing Systems, with a focus on Safety, People, Quality, Responsiveness, Cost, and Environment (SPQRCE)
Selected candidates will gain the chance to develop new skills while contributing to the advancement of manufacturing processes that support the groundbreaking shift toward electric and autonomous vehicles.
What You'll Do (Responsibilities):
Analyze and respond promptly to the manufacturing daily plan, making necessary adjustments to operations as required
Manage multiple tasks in a fast-paced environment with competing priorities
Drive accountability through people and processes which may require difficult conversations
Conduct appropriate checks and tests, and communicate evaluation of results
Proactively offers solutions to operational or technical issues
Perform preventative maintenance and diagnosis of equipment malfunctions
Maintains productivity and quality in line with organizational standards
Implement divisional and corporate policies and safety and good housekeeping practices
Maintain frequent contact and collaboration with others outside of the work group
Supervises the efficient use of labor, inventory, and machinery
Establish a course of action to accomplish completion of the job and/or project
Specific physical requirements of the position include the ability to:
Work in a loud manufacturing environment that may not be climate controlled (conditions can be hot or cold)
Possess good physical stamina and coordination to frequently and repetitively:
Bend, twist, kneel, crouch and reach to perform work
Lift or carry materials weighing up to 15 lbs. and periodically carry or lift materials weighing up to 40 lbs.
Walk and stand for prolonged periods of time
Occasionally sit, climb (including ladders and lifts) and drive vehicles and equipment
Read standardized work instructions, operate machines and tools, and perform quality inspections
Promptly detect and respond to safety instructions, alarms, and signals
Wear personal protective equipment, for example: safety glasses, gloves, hats, ear plugs, and safety shoes
Your Skills and Abilities (Required Qualifications):
One year of direct team supervisory experience or at least 5 months as an internal GM per diem group leader
Experience reading and understanding electrical, pneumatic, and hydraulic blueprints
Experience solving complex problems and working in a fast-paced environment
Strong interpersonal skills, experience managing conflict and decision making
Experience managing, leading people, and addressing performance concerns
Demonstrate a high analytical ability to solve complex problems
Basic computer proficiency (i.e., Microsoft Word, typing, email, etc.)
Must be willing to work weekends and rotating shifts
18 years of age or older
High School Diploma or equivalent
What Can Give You a Competitive Edge (Preferred Qualifications):
Strong critical thinking and analytical skills
Experience working on multiple projects simultaneously
Willingness to ask questions, take initiative and be resourceful
High level of integrity, ability to deal with ambiguity, self-directed
Experience collaborating across multiple functions within a manufacturing setting
The General Motors Manufacturing Group is seeking to identify highly motivated and qualified individuals for current and potential future opportunities as a Group Leader. In anticipation of these openings becoming available, we welcome you to apply so we can begin the pre-screening and interview process.
Onsite: This role is categorized as onsite. This means the successful candidate is expected to report to Flint, Michigan on a full-time basis.
The Role:
The Maintenance Group Leader will be responsible for leading a group of skilled, hourly workers to troubleshoot and repair complex equipment and processes. This position requires the ongoing application and enforcement of the National and Local UAW Agreements. Candidates must possess technical expertise to oversee and support maintenance operations, exercising independent judgment within the framework of Global Manufacturing Systems, with a focus on Safety, People, Quality, Responsiveness, Cost, and Environment (SPQRCE)
Selected candidates will gain the chance to develop new skills while contributing to the advancement of manufacturing processes that support the groundbreaking shift toward electric and autonomous vehicles.
What You'll Do (Responsibilities):
Specific physical requirements of the position include the ability to:
Your Skills and Abilities (Required Qualifications):
What Can Give You a Competitive Edge (Preferred Qualifications):
Experience supervising employees in a union environment
Strong critical thinking and analytical skills
Experience working on multiple projects simultaneously
Willingness to ask questions, take initiative and be resourceful
High level of integrity, ability to deal with ambiguity, self-directed
Experience working with CNC Technologies including machining centers, lasers, and robotics
Experience collaborating across multiple functions within a manufacturing setting
Experience reading and understanding electrical, pneumatic, and hydraulic blueprints
At General Motors, our product teams are redefining mobility. Through a human-centered design process, we create vehicles and experiences that are designed not just to be seen, but to be felt. We’re turning today’s impossible into tomorrow’s standard —from breakthrough hardware and battery systems to intuitive design, intelligent software, and next-generation safety and entertainment features.
Every day, our products move millions of people as we aim to make driving safer, smarter, and more connected, shaping the future of transportation on a global scale.
Are you ready to redefine mobility and shape the future of autonomous transportation? As a Staff Research Scientist specializing in Vision-Language Models (VLMs), Vision-Language-Action models (VLAs), and Onboard Foundational Models, you will advance the frontier of artificial intelligence to solve the most challenging problems in autonomous driving.
In this role, you will bridge the gap between large-scale multimodal foundational AI and real-time physical systems. You will lead the design, training, and optimization of state-of-the-art models that allow vehicles to deeply understand complex visual scenes, reason through open-ended scenarios, and translate multimodal inputs directly into safe, actionable driving decisions. Crucially, your work will focus not just on cloud-scale intelligence, but on pioneering the techniques required to compress, quantize, and deploy these massive architectures directly onto resource-constrained onboard vehicle hardware. You will help shape strategic technical directions, mentor a world-class team of engineers, and represent our organization at top global artificial intelligence conferences.
What You’ll Do
Research, design, and prototype advanced Vision-Language Models and Vision-Language-Action foundational models tailored for real-time semantic understanding and behavioral prediction in autonomous driving.
Drive the technical strategy for onboard model optimization, leading initiatives in model quantization, pruning, knowledge distillation, and compilation to ensure high-parameter models execute with ultra-low latency on vehicle edge hardware.
Advance multimodal alignment techniques, ensuring seamless integration of camera, radar, LiDAR, and textual/logical prompts into unified foundational architectures.
Influence technical roadmaps and shape strategic machine learning priorities that align with safety requirements, core product milestones, and next-generation vehicle launches.
Provide technical mentorship and long-term vision to a multidisciplinary group of machine learning engineers, software developers, and hardware specialists.
Foster internal innovation by collaborating closely with perception, planning, and infrastructure teams to integrate foundational models into the core autonomous software stack.
Represent the company externally to the global scientific community by publishing original research, securing patents, and presenting at top-tier artificial intelligence and robotics conferences.
Your Skills & Abilities (Required Qualifications)
Ph.D. in Machine Learning, Robotics, Computer Science, Electrical Engineering, or a related technical field.
5+ years of experience in AI/ML research and applied development.
Deep expertise in modern ML architectures (transformers, generative AI, multimodal systems).
Strong programming skills in Python.
Excellent communication, collaboration, and mentoring abilities, comfortable influencing technical strategy and guiding ML excellence across the organization.
What Will Give You A Competitive Edge (Preferred Qualifications)
Demonstrated research impact in AI/ML technologies either through important publications in top conferences or demonstrated contribution to industry leading systems.
AV/ADAS experience
Remote: This role is based remotely but if you live within a 50-mile radius of Mountain View, you are expected to report to that location three times a week, at minimum.
Compensation : The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of New York, Colorado, California, or Washington.
The salary range for this role is $218,800.00 to $335,300.00. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.
Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.
Benefits:
Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.
This job may be eligible for relocation benefits.
Company Vehicle: Upon successful completion of a motor vehicle report review, you will be eligible to participate in a company vehicle evaluation program, through which you will be assigned a General Motors vehicle to drive and evaluate. Note: program participants are required to purchase/lease a qualifying GM vehicle every four years unless one of a limited number of exceptions applies.
#GM-AV-1
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):
The Senior Product Owner will lead the product strategy, roadmap, and delivery execution for key GM Motorsports data and analytics products that support Strategy, Vehicle Performance, and Competition Engineering - across NASCAR, IndyCar, and other GM racing programs . The role combines product ownership with scrum leadership responsibilities, partnering closely with motorsports stakeholders and leading cross-functional delivery across the data science and data engineering teams. Direct motorsports experience is not required; success in this role depends on the ability to quickly understand stakeholder needs, translate them into roadmaps and backlog items, and drive high-quality, timely delivery in a complex, fast-paced environment.
Serve as the accountable Product Owner for cross-functional data science and data engineering teams supporting GM Motorsports.
Own and maintain the product vision, roadmap, and prioritized backlog for motorsports analytics and data products, aligning to business strategy and measurable outcomes.
Act as scrum lead for both teams:
Facilitate and continuously improve backlog refinement, sprint planning, sprint reviews, and retrospectives.
Ensure clear, well-defined user stories and acceptance criteria.
Remove impediments and protect the teams’ ability to execute.
Partner closely with motorsport Strategy, Vehicle Performance, and Competition Engineering stakeholders to:
Understand business objectives, workflows, and decision-making needs.
Translate complex requirements into clear, implementable features and experiments.
Weigh scope, risk, and downstream impacts to recommend sequencing and trade-offs.
Collaborate with data scientists, data engineers, architects, and product partners to define solutions that are feasible, scalable, and aligned with enterprise data and AI standards.
Drive cross-functional alignment across multiple groups (e.g., motorsport engineering, IT, security, operations) to ensure dependencies are identified and managed.
Communicate product strategy, priorities, risks, and status effectively:
Provide concise, insights-driven updates and recommendations to senior and executive leadership.
Provide clear context, rationale, and direction to delivery teams.
Apply a disciplined approach to outcome measurement by defining and tracking product KPIs and adoption metrics, and using data and stakeholder feedback to iterate on roadmap and backlog priorities.
Serve as a thought partner on data and AI capabilities, helping stakeholders understand what is possible with modern data science and data engineering platforms.
Model and reinforce GM Behaviors (Win with Integrity, Commit to Customers, Innovate and Embrace Change, Speak Fearlessly, Move with Urgency, Be Inclusive, Lead as One Team, Own the Outcome) in day-to-day work and team interactions.
Provide informal leadership and mentoring to other product owners, analysts, and team members; contribute to improving product and agile practices across the broader organization.
Bachelor’s degree in Engineering, Computer Science, Data/Analytics, Business, or related field; or equivalent experience.
5+ years experience as a product manager, product owner, business analyst, systems analyst, or similar role.
Significant experience in product management / product ownership roles, including:
Defining product vision and multi-release roadmaps .
Managing and prioritizing complex backlogs across multiple stakeholder groups.
Delivering digital/data products in an agile environment.
Demonstrated experience serving as a Product Owner and/or scrum lead for one or more agile teams (e.g., data, analytics, software ).
Proven ability to work cross-functionally and influence without formal authority, including partnering with technical and non-technical stakeholders at multiple levels.
Strong communication skills with a track record of:
Presenting concise, data-informed updates and recommendations to senior leadership.
Translating technical concepts into business-relevant language for non-technical stakeholders.
Providing clear, actionable guidance to development teams.
Familiarity with data science and data engineering concepts (e.g., analytics use cases, data pipelines, model development and deployment, experimentation ) sufficient to:
Ask the right questions.
Understand trade-offs and constraints.
Make informed prioritization decisions.
Demonstrated ability to operate at a senior scope by:
Solving complex, often new problems that require deep experience and strategic thinking.
Leading large or high-visibility initiatives with cross-functional impact.
Mentoring less-experienced colleagues and elevating team practices.
Experience working with and owning data-heavy products or platforms in partnership with data science and/or data engineering teams (e.g., performance analytics, telemetry, operations ), including defining SLAs, data contracts, and quality expectations for downstream consumers.
Familiarity with modern data and analytics technology stacks , ideally including:
Cloud platforms (e.g., Azure ).
Data engineering tools (e.g., Databricks, Spark, modern data pipelines, streaming technologies such as Kafka ).
Analytics / BI / experimentation and ML platforms .
Solid understanding of modern data engineering concepts and patterns ( data lakes/lakehouse, batch and streaming pipelines, warehousing, orchestration, observability ), with the ability to discuss trade-offs with engineers.
Ability to read and reason about technical designs (e.g., high-level schemas, pipeline diagrams, architectural decisions ) and use that understanding to prioritize work, not to implement code hands-on.
Product ownership experience in an engineering-heavy domain (e.g., automotive, mobility, manufacturing, motorsports, aerospace, or similar) , including designing and tracking product KPIs and success metrics for data/analytics products.
Formal agile training or certifications (e.g., CSPO, PSPO, Scrum Master ) and experience tailoring agile practices to complex, multi-team environments.
Demonstrated ability to navigate enterprise processes, governance, and risk while maintaining urgency and forward progress.
This posting is not for an existing vacancy within the organization and is open to new applications.
AI Disclosure:
As part of the application process, Artificial Intelligence will be used in the hiring process for this role
Work Arrangement: This role is categorized as hybrid. This means the successful candidate is expected to report to the office three days per week, at minimum.
The Role
The Data Engineering organization at General Motors Canada is developing a unified, scalable Vehicle Logging Architecture to enable consistent, secure, and high‑fidelity logging from vehicle ECUs to the cloud. We’re seeking a Staff Embedded Logging Software Developer to design and integrate embedded logging pipelines across diverse in‑vehicle platforms, ensuring cohesive interaction between the control plane (configuration, arbitration, lifecycle) and the data plane (streaming telemetry and file‑based transfer).
The ideal candidate brings deep embedded expertise in C/C++ and Android, a track record of delivering solutions across Android Automotive, Linux, and QNX, and hands‑on experience scaling log data flows from ECU to cloud while meeting strict reliability, performance, and security requirements.
What You'll Do (Responsibilities)
Embedded Platform Logging
Define and implement Platform Log Client behaviors across Android, Linux, and QNX.
Manage volatile buffers and persistent storage (log files and packages), including rotation, compression, retention, and quotas.
Support vehicle‑local data access mechanisms (e.g., USB‑based retrieval) when connectivity is limited.
Control Plane Integration
Build/extend a Log Control Interface Library to handle configuration retrieval, validation, arbitration (including TTL for local overrides), and persistence/fallback to last‑known‑good.
Implement interactions between vehicle log control logic, platform clients, and configuration providers.
Define API contracts for configuration updates, log control, and create/upload package triggers; align with in‑vehicle UX/HMI flows.
Data Plane Integration
Design and operate reliable egress paths for:
o Log Streaming
o File‑based transfer of high‑fidelity artifacts (binary logs, crash dumps, multi‑file log packages).
Specific behaviors to ensure dependable delivery under varying connectivity and resource conditions.
Reliability, Performance & Security
Implement runtime controls to enable/disable logging subsystems locally and remotely
Establish startup sequencing and resource budgets (CPU, memory, flash) that safeguard real‑time and safety‑critical workloads.
Ensure compliance with cybersecurity and data‑protection requirements for both local and remote access to log settings and log data.
Standards, Documentation & Collaboration
Champion consistent logging schemas, naming, and formatting across platforms; drive structured logging best practices.
Produce clear design documents, configuration guides, and support operational runbooks.
Collaborate closely with embedded platform teams, observability/data engineering, product, and validation to deliver end‑to‑end data flows from ECU to cloud.
Your Skills & Abilities (Required Qualifications)
Bachelor’s degree in Computer Science, Engineering, or a related field.
8+ years in embedded software development or systems engineering across Android, Linux, and/or QNX.
Strong coding proficiency in C/C++ and Android Java with experience in platform‑level integrations.
Demonstrated experience integrating with control plane services (configuration retrieval, arbitration, persistence/fallback) and data plane pipelines (streaming and file‑based transfer).
Hands‑on experience with:
o File management workflows; file rotation/compression, retention, and storage quotas.
o Logger ecosystems (e.g., Android logs, QNX slogger2, Linux journal/syslog) and buffer/file management at scale.
Deep understanding of ECU constraints: startup sequencing, CPU/memory/flash budgets, and contention mitigation.
Familiarity with structured logging guidelines and driving cross‑team compliance.
Experience designing metrics/telemetry for operational visibility and remote control at fleet scale.
Clear, concise technical communication; strong cross‑team collaboration and design documentation skills.
What Can Give You a Competitive Advantage (Preferred Qualifications)
Experience designing driver/HMI‑initiated capture flows (e.g., create/upload log packages).
Knowledge of automotive cybersecurity controls and data‑protection processes.
Exposure to OpenTelemetry, protobuf/gRPC, or similar observability/data‑plane technologies.
Contributions to or strong affinity for open‑source observability/logging ecosystems.
Automotive domain familiarity: ECU architectures, SoC platforms, diagnostics, failure/crash analysis
Compensation:
The salary range for this role is $147,000 to $196,600. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.
GM DOES NOT PROVIDE IMMIGRATION-RELATED SPONSORSHIP FOR THIS ROLE. DO NOT APPLY FOR THIS ROLE IF YOU WILL NEED GM IMMIGRATION SPONSORSHIP NOW OR IN THE FUTURE.
Benefits Overview:
The goal of the General Motors of Canada total rewards program is to support the health and well-being of you and your family. Our comprehensive compensation plan currently includes the following benefits, in addition to many others:
Paid time off including vacation days, holidays, and supplemental benefits for pregnancy, parental and adoption leave.
Healthcare, dental, and vision benefits.
Life insurance plans to cover you and your family.
Company and matching contributions to a Defined Contribution Pension plan to help you save for retirement.
GM Vehicle Purchase Plan for you and your family.
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
]]>No: This posting is not for an existing vacancy within the organization and is open to new applications. (New Head Count)
AI Disclosure:
As part of the application process, Artificial Intelligence will be used in the hiring process for this role.
Role Overview
We are seeking an experienced Software QA Team Lead to build, mentor, and lead a high-performing quality assurance team supporting software development projects in the mobile or automotive space. This individual will play a critical role in driving quality strategy, improving test processes, supporting team growth, and ensuring high-quality delivery in a fast-paced Agile environment.
Key Responsibilities
Required Skills and Experience
Preferred Qualifications
GM DOES NOT PROVIDE IMMIGRATION-RELATED SPONSORSHIP FOR THIS ROLE. DO NOT APPLY FOR THIS ROLE IF YOU WILL NEED GM IMMIGRATION SPONSORSHIP NOW OR IN THE FUTURE
Hybrid: This role is categorized as hybrid. This means the successful candidate is expected to report to Markham Elevation Centre (OEC) three times per week, at minimum.
Benefits Overview
General Motors of Canada offers a comprehensive total rewards program designed to support the health and well-being of employees and their families. Benefits currently include:
Compensation
The salary range for this role is $111,700.00 to $167,600.00. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.
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.
We’re AV Frameworks within AV Platform Core at General Motors. We build the foundational frameworks that power robotics and autonomous capabilities across distributed compute — with a focus on inter-process communication (IPC), middleware, and developer experience that make complex systems reliable, observable, and fast.
As a early career Software Engineer on the AV Frameworks , you will design and deliver the core communication and runtime building blocks used by AV/Robotics applications on vehicles, on benches, and in simulation. You’ll work across C++ systems, Linux, and networking/IPC to achieve low-latency messaging, deterministic scheduling, and production-grade reliability at scale.
This role is designed for a recent graduate or engineer early in their career who wants to build depth in embedded systems, distributed software, vehicle platforms, and autonomous driving technology. You will learn from experienced engineers while contributing meaningful code to systems that must be dependable, observable, and maintainable.
You will develop a systems-level understanding as you learn how individual applications, compute elements, and data flows interact. Over time, you will turn that understanding into clear abstractions and design guidance that inform how other developers build vehicle software.
Build and debug high-performance IPC and middleware primitives (publish/subscribe, shared memory, serialization, discovery, QoS).
Drive latency, throughput, and determinism improvements through profiling, tracing, benchmarking, and targeted optimizations.
Build developer-facing APIs , tooling, and documentation that improve ergonomics, correctness, and velocity for internal customers.
Deliver platform-ready components with observability (metrics, logs, traces), robust fault handling, and reproducible performance characteristics.
Work alongside experienced engineers platform OS, drivers, safety, controls, perception, and tooling teams to ramp up on AV software.
Apply production rigor : code reviews, testing strategies (unit, integration, soak), performance and regression gates, and rollout/rollback discipline.
Grow through progressively more complex assignments spanning design, implementation, integration, and testing.
Recently completed a BS/MS/PhD in Computer Science, Electrical/Computer Engineering, Robotics, or a degree in a related field.
Strong background in modern C++ (20/23) and Python development, demonstrated through coursework, internships, research, or substantial projects.
Strong grasp of software fundamentals including concurrency, memory management, lock-free or low-contention patterns, and performance profiling .
Hands-on experience with IPC/messaging systems and distributed systems fundamentals (serialization, backpressure, flow control, QoS).
Knowledge of linux-based networking (sockets, TCP/UDP, multicast, NICs, buffers, MTU, packetization).
Ability to debug complex software problems, reason about system behavior, and communicate clearly in a collaborative team environment.
Interest in autonomous vehicles, robotics, embedded systems, or high-performance software.
Robotics/AV middleware: ROS 2 , DDS , gRPC .
Serialization and data: Protobuf , FlatBuffers, Cap’n Proto, zero-copy techniques.
Real-time Linux and systems constraints (scheduling, CPU isolation, priority inversion mitigation, bounded latency).
Prior internship, research, or project experience in autonomous driving, robotics, embedded systems, AI/ML infrastructure, or platform software.
Degree completed between December 2025 and August 2026, with availability to begin employment in 2026.
Hybrid: This role is categorized as hybrid. This means the successful candidate is expected to report to our Suynnvale , CA office three times per week, at minimum.
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 $125,000 to $150,000. 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.
Welcome to General Motors Fleet, the General Motors business that serves business and government customers with complete vehicle and mobility solutions. As a Marketing and Sales Enablement Intern, you will support initiatives that help General Motors Fleet attract, retain, and grow customers across these markets.
You will gain hands-on experience developing marketing strategies, analyzing customer and business data, supporting sales teams, and improving the customer onboarding experience. This internship offers the opportunity to contribute to the future of automotive business solutions while working with a dedicated, fast-paced, and highly engaged team.
The General Motors Fleet Marketing and Sales Enablement team uses marketing and customer success strategies to help sales teams sell and customers make informed purchasing and ownership decisions. The team supports General Motors Fleet’s growth strategy by using customer data to understand and engage loyal customers, new prospects, returning customers, and customers who are new to General Motors Fleet.
The team develops targeted marketing strategies for high-value accounts, generates new small-fleet leads, and builds customer success programs that help customers get started and have a world-class buying and ownership experience. The team works across marketing, sales, customer success, technology, and other business functions to create long-term customer relationships.
As a General Motors Fleet Marketing and Sales Enablement Intern, you may support one or more of the following areas:
Marketing strategy development and execution.
Customer relationship management, experiential marketing, media, and social media messaging.
Go-to-market strategy development and execution.
Evaluation and improvement of the marketing technology tools used by the team.
Sales operations and customer onboarding.
Analysis of customer, marketing, and sales information to identify trends, opportunities, and areas for improvement.
Development of recommendations and materials that help sales teams and customers make informed decisions.
Collaboration with cross-functional partners to support marketing and customer success initiatives.
Through these efforts, you will help General Motors Fleet evaluate how marketing and sales technology supports the sales team and improves the customer experience. Your work may help identify opportunities, improve processes, strengthen customer communications, and deliver more effective marketing and sales strategies.
Pursuit of a bachelor’s degree in business, sales, marketing, journalism, or a related field.
Must be graduating between December 2027 - June 2029.
Ability to work full-time, 40 hours per week, during the 12 week internship.
Related experience in the automotive industry.
Strong technical background and interest in marketing, sales, customer experience, or business technology.
Ability to listen carefully and engage others in meaningful dialogue.
Self-directed work ethic and willingness to take ownership of assigned responsibilities.
Proficiency with Microsoft Office tools, including Excel, Word, and PowerPoint.
Strong verbal, written, and interpersonal communication skills.
Start Date
Start dates for this internship role are May 24th & June 14th of 2027.
Work Location
Hybrid: This role is categorized as hybrid. This means the successful candidate is expected to report to Warren, Michigan - 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 -
Your Skills & Abilities (Required Qualifications)
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
As a technical leader, you will influence global manufacturing strategy, drive standardization across plants, and develop innovative solutions supporting advanced driver assistance systems (ADAS), active safety features, vehicle alignment, headlamp aim, and future autonomous vehicle technologies.
If you're passionate about solving complex technical challenges, influencing enterprise-wide standards, and shaping the next generation of manufacturing systems, we'd love to hear from you.
This Role Is Ideal For
Engineering leaders and technical experts with deep experience in vehicle calibration, ADAS manufacturing systems, alignment technologies, or end-of-line validation who want to shape enterprise standards, influence future vehicle launches, and drive global manufacturing innovation.
WHY
Ensure GM's global manufacturing operations are equipped to build, calibrate, and validate increasingly complex vehicles by developing industry-leading end-of-line systems, manufacturing standards, and automation strategies. This role helps improve Electrical First Time Quality (EFTQ), reduce warranty exposure, enhance production efficiency, and ensure every vehicle meets quality expectations before reaching the customer.
WHAT
As the End-of-Line Systems Technical Expert, you will serve as the global subject matter expert for manufacturing systems supporting vehicle alignment, headlamp aim, active safety calibration, and autonomous vehicle calibration. You will define technical standards, shape future manufacturing strategies, influence vehicle and equipment design decisions, and provide expert guidance to global plants and engineering teams.
HOW
Partner with manufacturing, product engineering, program teams, suppliers, and plant operations to develop standardized end-of-line systems that are scalable, automation-ready, and globally deployable. Drive innovation, solve complex technical problems, and establish future-ready manufacturing solutions that support emerging vehicle technologies and evolving customer expectations.
Work Arrangement – Onsite
The successful candidate is expected to report to the Warren Tech Center on a full-time basis. This role requires up to 50% domestic and international travel.
What You'll Do (Responsibilities)
Your Skills and Abilities (Required Qualifications)
What Will Give You a Competitive Edge (Preferred Qualifications)
#LI-BC1
]]>At General Motors, we do not just build vehicles; we build the future of mobility. As part of our commitment to innovation and excellence, we are looking for enthusiastic, forward-thinking students to join our 2027 Summer MBA Internship Program.
This 12-week internship offers the opportunity to work within Global Purchasing & Supply Chain (GPSC) on a high-visibility strategic project tied to real business needs. You will help GM source, buy, build, and move materials at scale while contributing to a resilient, agile, cost-effective, and sustainable supply base.
Depending on business needs and your experience, your assignment may support supply chain automation, strategic purchasing, advanced analytics, risk sensing, demand and supply planning, supplier resiliency, process improvement, or digital transformation. You will work across functions to turn complex business challenges into actionable recommendations and measurable business outcomes.
Potential Assignment Areas
Assignment scope and functional placement will be aligned to business needs, candidate experience, and organizational priorities. Candidates may be considered for one or more of the assignment areas described below:
Supply Chain Automation, AI & Process Improvement
Simplify purchasing and supply chain processes and support automation, AI, analytics, workflow, and systems-integration solutions that improve productivity, data quality, decision-making, and user experience.
Purchasing & Strategic Sourcing
Support sourcing for parts, services, automation equipment, and other purchasing needs, including RFx and bid packages, supplier development and evaluation, sourcing events, benchmarking, cost analysis, contract strategy, and supplier performance management.
Supply Chain Analytics, Risk & Innovation
Analyze supply chain, supplier, operational, and supply/demand data to improve visibility, identify risks, support predictive decision-making, and strengthen supply chain mapping and event-to-response timelines.
Operations Strategy, Planning & Supplier Resiliency
Support operations strategy, demand and supply planning, supplier resiliency, logistics, and cost optimization across areas such as Value-Added Assembly, the Logistics Optimization Center, Supplier Park, manufacturing, and warehousing.
What You’ll Do in the Role
Analyze complex business problems, data, workflows, and operational information to identify risks, inefficiencies, and opportunities.
Translate findings into clear recommendations, business cases, implementation plans, and decision materials for technical and non-technical stakeholders.
Support the development and execution of purchasing, sourcing, supply chain, and operational strategies.
Conduct market, supplier, benchmarking, and cost analyses to identify opportunities, risks, innovation, and savings.
Help evaluate suppliers, processes, tools, and technology solutions based on business requirements and expected outcomes.
Support the development, testing, and implementation of analytics, automation, AI-enabled, and other digital solutions.
Collaborate with Purchasing, Supply Chain, Manufacturing, Engineering, Finance, Legal, IT, Supplier Quality, Customer Care & Aftersales, Command Centers, suppliers, and other partners.
Present insights and recommendations to leaders and stakeholders, helping align priorities, remove roadblocks, and drive measurable outcomes.
Manage priorities, communicate progress, and deliver results independently in a fast-moving and ambiguous environment.
Currently enrolled in an MBA program.
Must be graduating between December 2027 and June 2028.
Two to five years of professional experience in procurement, supply chain, technology, consulting, or business strategy.
Able to work full-time, 40 hours per week, during the summer months.
Demonstrated ability to analyze complex business problems and synthesize information from multiple data sources into clear recommendations.
Strong communication, collaboration, and stakeholder-management skills.
Experience improving business processes through analytics, process mapping, Lean/Six Sigma, automation, systems integration, or digital transformation.
Experience or exposure to purchasing, strategic sourcing, RFx or bid packages, supplier management, supplier development, benchmarking, cost analysis, or contract strategy.
Familiarity with supplier risk, supplier resiliency, supplier performance, logistics, demand and supply planning, or supply chain mapping.
Exposure to AI, robotics, IoT, RPA, workflow automation, analytics platforms, or other technology-enabled operations.
MBA concentration in Operations, Supply Chain, Strategy, Analytics, Finance, or a related field; automotive or manufacturing experience is a plus.
Familiarity with tariff/USMCA considerations, sustainability KPIs, or complex automotive and manufacturing value chains.
Proficiency with Microsoft Office products, including Word, Excel, and PowerPoint; experience with Google Workspace is a plus.
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 GM Global Technical Center – Cole Engineering Center, 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 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.
]]>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.
]]>WHY: Reduce vehicle yard holds and improve product quality by ensuring timely, accurate deployment of ECU software across manufacturing plants and yard operations—enabling vehicles to meet release and readiness targets.
WHAT: Lead a team responsible for executing ECU software flashing and embedded systems across GM manufacturing sites—owning planning, coordination, and execution to ensure consistent, high-quality results at scale.
HOW: Lead end-to-end deployment operations—planning events, resourcing teams, and overseeing execution across multiple sites—while partnering with engineering and manufacturing to resolve issues in real time, standardize processes, and continuously improve deployment performance.
This role is ideal for technical leads or supervisors with experience in vehicle diagnostics, ECU flashing, or manufacturing operations who enjoy leading teams in fast-paced, hands-on environments and driving execution across multiple sites.
Work Arrangement - Onsite
The successful candidate is expected to report to the GMNA plants, warehouses, and Warren Tech Center on a full-time basis. This role requires 50% or greater domestic and international travel.
What You’ll Do (Responsibilities):
Your Skills & Abilities (Required Qualifications)
What Could Give You a Competitive Edge (Preferred Qualifications)
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.
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.
#LI-DH2
]]>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
]]>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):
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:
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.
]]>This role is not eligible for relocation assistance.
At General Motors, our product teams are redefining mobility. Through a human-centered design process, we create vehicles and experiences that are designed not just to be seen, but to be felt. We’re turning today’s impossible into tomorrow’s standard —from breakthrough hardware and battery systems to intuitive design, intelligent software, and next-generation safety and entertainment features.
Every day, our products move millions of people as we aim to make driving safer, smarter, and more connected, shaping the future of transportation on a global scale..
About the role:
The Technical Specialist – Advanced Seat Structures is the senior individual contributor and domain expert for future seat structure architectures, mechanisms, and enabling technologies. You will lead clean-sheet and advanced concept work (new architectures, mechanisms, composite/lightweight structures) and convert ambiguous customer and vehicle requirements into executable, reusable seat structure strategies. This role operates primarily in advanced vehicle development, partnering closely with Advanced Vehicle Development (AVD), seat just-in-time (JIT) suppliers, Safety, Body-in-White (BIW), Design, Manufacturing, and global regions to define the advanced seat structures roadmap and prepare downstream program teams for successful execution.
Key Responsibilities:
Advanced Architecture & Concept Development:
Innovation, Benchmarking & Technology Roadmap:
Safety, Regulatory & Structural Performance:
Manufacturability, Automation & Complexity:
Knowledge Management & Mentorship :
Cross-Functional Leadership & Influence:
Required Qualifications:
Preferred Qualifications:
#LI-JN1
]]>Every day, our products move millions of people as we aim to make driving safer, smarter, and more connected, shaping the future of transportation on a global scale.
Work Arrangement
This role is primarily on-site at GM’s Wentzville manufacturing facility, with occasional flexibility to work from home when business needs and project activities allow. The role may require support during plant shutdowns and weekend work as needed.
The Role
As a Paint Shop Resident Engineer, you will lead the execution of machinery and equipment projects for GM’s Vehicle Systems Paint Group. You will manage projects from concept development through design, procurement, installation, integration, startup, commissioning, and safety buyoff. Working closely with plant teams, suppliers, professional service providers, and construction contractors, you will help deliver safe, reliable, state-of-the-art paint systems while refurbishing and upgrading existing equipment. This role offers the opportunity to independently manage projects and serve as the primary connection between the plant and Vehicle Systems.
What You’ll Do
Your Skills & Abilities (Required Qualifications)
What Will Give You a Competitive Edge (Preferred Qualifications)
#LI-MH1
]]>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.
As a 2027 Summer Intern – IndyCar Trackside Engineering, you will support Chevrolet’s IndyCar competition program through data-driven vehicle-performance analysis, engineering preparation, and technical problem solving. Working from the Charlotte Technical Center, you will help convert vehicle, simulation, and race-event data into clear engineering insights and recommendations for the trackside engineering organization. This position does not require travel.
The Team:
The IndyCar Trackside Engineering group supports Chevrolet teams and internal engineering partners by preparing performance analyses, engineering tools, and technical recommendations for competition. The team works across vehicle performance, data analysis, race engineering, powertrain, strategy, and partner-team interfaces to identify performance opportunities and help deliver reliable, competitive race cars. The intern will contribute to trackside engineering activities from the Charlotte Technical Center and collaborate with experienced motorsports professionals.
What You’ll Do:
• Analyze vehicle-performance, telemetry, simulation, and historical race data to identify trends, performance gaps, and opportunities for improvement.
• Support preparation of pre-event analyses, engineering reports, setup comparisons, and post-event summaries for the IndyCar program.
• Develop and maintain analysis tools, dashboards, and repeatable workflows using appropriate engineering and data-analysis methods.
• Assist with investigations involving vehicle dynamics, tire performance, fuel efficiency, race strategy, reliability, and other competition-relevant topics.
• Organize technical information and communicate findings clearly through concise presentations, written reports, and engineering reviews.
• Collaborate with race engineers, vehicle-performance engineers, powertrain partners, and internal GM engineering teams while maintaining data quality and confidentiality.
• Contribute to a safety-focused, disciplined, and continuous-improvement-oriented motorsports environment.
Required Qualifications:
• Pursuit of a Bachelor’s degree in:
• Must be graduating between December 2027 and June 2029.
• Able to work full-time, 40 hours per week during the summer months.
• Able to work onsite on a full-time basis at the Charlotte Technical Center.
• Strong analytical, problem-solving, organizational, and communication skills.
Preferred Qualifications:
• Experience with vehicle-performance analysis, motorsports, automotive engineering, or another high-performance engineering environment.
• Experience using Excel, Python, MATLAB, or similar tools to analyze and visualize engineering data.
• Coursework or project experience in vehicle dynamics, data acquisition, controls, powertrain, simulation, or race engineering.
• Ability to work effectively in a fast-paced, collaborative, detail-oriented environment.
• Hands-on experience with engineering projects, laboratory testing, or technical data collection.
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 Charlotte Technical Center on a full-time basis.
For eligible participants, 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.
]]>WHY: The purpose of this role is to develop tooling and test programs for finished vehicle yard reflash activities, enabling efficient, scalable global execution of product software updates.
WHAT: As a Software Reflash Technical Specialist, you will prepare, validate, and maintain tooling and configurations that enable efficient, reliable execution of software reflash events.
HOW: Lead end-to-end readiness of reflash tooling and test configurations, partnering closely with software engineering, manufacturing, and execution teams to build, validate, and continuously improve reliable, yard-ready solutions that enable on-time software updates and improve the customer experience at delivery.
Work Arrangement - Onsite
The successful candidate is expected to report to the Warren Tech Center on a full-time basis. This role requires up to 50% domestic and international travel.
What You’ll Do (Responsibilities):
Your Skills and Abilities (Required Qualifications )
What Will Give You a Competitive Edge (Preferred Qualifications)
Every day, our products move millions of people as we aim to make driving safer, smarter, and more connected, shaping the future of transportation on a global scale.
The Role
As a Senior Conveyor Engineer, you will lead the installation and operational activities of manufacturing conveyor equipment in GM facilities, ensuring compliance with industry and GM standards. You’ll play a key role in layout development to support manufacturing processes, integrate lean concepts for cost-effective designs, and collaborate on material presentation for operator assembly.
This role involves managing multiple plants and large-scale projects, understanding the integrated supplier model, and overseeing project timing and financials. You’ll work cross-functionally with internal teams and external partners, exercising creativity, initiative, and independent judgment in a dynamic environment.
What You'll Do
· Execute complex conveyor projects, including engineering, fabrication, installation, and start-up in GM assembly plants across North America.
· Lead multiple conveyor projects and equipment installations, ensuring compliance with GM standards and safety requirements.
· Develop project timelines and manage financial aspects of conveyor execution.
· Collaborate with engineers and suppliers to support project execution and resolve operational issues.
· Drive lean conveyor designs to minimize total costs while supporting material presentation for assembly.
· Utilize GM documentation and ensure adherence to conveyor specifications and standards.
· Generate technical solutions for conveyor challenges and track deliverables to ensure timely completion.
Your Skills & Abilities (Required Qualifications)
· 5+ years of experience in manufacturing engineering.
· Bachelor’s degree in engineering, science, project management, or related field (or equivalent experience).
· Proficient in reading, understanding, and developing conveyor layouts.
· Strong analytical skills with excellent communication and interpersonal abilities for effective problem-solving.
· Proficient in computer applications, interpreting engineering drawings, and adapting to new systems.
What Will Give You a Competitive Edge (Preferred Qualifications)
· Experience as a conveyor engineer or in maintenance roles.
· Strong technical knowledge in process engineering disciplines, including plant layouts, process requirements, throughput, and simulation—especially in Body, Paint, and General Assembly.
· Proven experience in project management.
· Proficiency in AutoCAD and FactoryCAD for creating and modifying designs.
· Familiarity with NX software or general awareness of its applications.
]]>The Data Scaling team owns the data flywheel for AV foundation model pre-training and SFT. We determine what data the AV needs in order to learn driving behaviors at scale, and we define what data quality means across the loop. The team delivers ML models that move the product up the data scaling curves, turning better data composition into measurably better driving behavior. We work with the very large datasets GM already has and we define the next generation of highest-value datasets GM collects. With each major release we aim to 10x the effective data behind our models: more scale, more diversity, and more value extracted from every example.
Why Join Us?
As a Senior AI/ML Engineer in the Embodied AI Data Foundations organization, you will be an individual contributor developing data-centric AI solutions that directly improve autonomous driving performance. You will design and run the data curation and model training recipes that produce models capable of safe, reliable behavior across diverse real-world scenarios, drawing on both real and synthetic data.
What You'll Do
Your Skills & Abilities
Required:
Preferred:
Remote/Hybrid: This role is categorized as fully remote or hybrid.
Compensation: The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of the California Bay Area.
Benefits:
This job may be eligible for relocation benefits.
#LI-CX1
#GM-AV-1
]]>DMAX Ltd. is a wholly owned subsidiary of General Motors that produces the Duramax 6.6L V-8 turbo-diesel engine for Chevrolet Silverado HD and GMC Sierra HD pickup trucks. DMAX combines deep diesel expertise with advanced manufacturing capabilities to meet the demands of our heavy-duty truck customers.
This role will be onsite supporting our facilities in Moraine, OH and/or Brookville, OH.
What You'll Do
As a member of DMAX’s Human Resources Group, you will lead assigned business functions in day-to-day HR and LR activities and provide direction and leadership that aligns and supports our objectives, mission and culture. You will work strategically with assigned functional business leaders to improve working relationships, build engagement, increase output, attract and retain talent. This role provides dual employment support between GM & DMAX, including two distinct employee handbooks / policy manuals with unique processes to support the operating model.
Labor Relations:
Core HR:
Your Skills & Abilities (Required Qualifications)
What Will Give You A Competitive Edge (Preferred Qualifications)
**This position will require off-shift work and overtime; must be willing and able to work flexible, and additional hours as required**
Compensation
The compensation information 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.
Every day, our products move millions of people as we aim to make driving safer, smarter, and more connected, shaping the future of transportation on a global scale.
The Role
We are seeking a Senior Execution Engineer – Material Flow & Robotics Deployment to join AMD within the Manufacturing Systems Design and Deployment organization. In this role, you will lead the execution of advanced automation solutions that improve material flow, reduce waste, and increase operational efficiency across manufacturing environments.
You will work across engineering, operations, plant teams, and strategic suppliers to identify, develop, and deploy innovative automation technologies, including AMRs, AFTs, ASRS, and advanced kitting and sequencing systems. This role requires strong technical leadership, project execution, and cross-functional collaboration from concept through launch.
What You’ll Do
Lead the deployment of automation technologies, including AMRs, AFTs, ASRS, and kitting/sequencing systems, across manufacturing operations
Identify and evaluate automation opportunities in partnership with AMD Solutions Teams to improve efficiency, reduce waste, and strengthen material flow performance
Conduct labor studies using GMOS and partner with Assembly Plant Industrial Engineers to analyze indirect material movement and quantify automation impact
Define unit counts, routes, and commodity flow requirements based on operational and plant needs
Support layout reviews and process optimization through simulation, modeling, and data analysis
Collaborate with AMD Simulation and Solutions Teams from project purchase order through execution and launch
Design future-state material flow strategies and automation roadmaps aligned to plant and business objectives
Develop executable automation strategies with clear timing, cost, and implementation plans
Partner with Material Execution Leads, Manufacturing Innovation Teams, and Engineering Center Leads to drive continuous improvement initiatives
Work directly with strategic suppliers and plant partners to develop, implement, and scale automation solutions
Resolve deployment challenges related to containerization, logistics, and GPSC coordination to ensure successful execution
Perform feasibility studies, cost-benefit analyses, and ROI assessments for proposed automation projects
Collaborate with Product Engineering, Manufacturing Operations, IT, and other internal stakeholders to ensure seamless system integration
Develop and manage PMP plans, PCP assignments, JES/TIS revisions, and ULOC/DLOC and CMA documentation
Your Skills & Abilities (Required Qualifications)
5+ years of experience in automotive manufacturing, automation deployment, material flow engineering, or a related field
Hands-on experience deploying and integrating automation technologies such as:
Autonomous Mobile Robots (AMRs) with fleet management systems
Automated Fork Trucks (AFTs) with safety-rated navigation and control systems
Automated Storage and Retrieval Systems (ASRS) with warehouse control software
Experience using labor analysis tools to conduct indirect labor studies and quantify the impact of automation on material movement within a plant
Experience with layout optimization and simulation tools such as AutoCAD, Siemens Tecnomatix, or FlexSim to evaluate and improve material flow paths
Working knowledge of PLC programming, robotic cell integration, and industrial communication protocols such as OPC UA, Modbus, and Ethernet/IP
Ability to develop and manage PMP plans, PCP assignments, and operational documentation, including JES/TIS revisions, ULOC/DLOC, and CMA coordination
Strong analytical skills with experience conducting feasibility studies, cost-benefit analyses, and ROI modeling for automation projects
Demonstrated ability to lead cross-functional teams and resolve deployment issues involving material flow, containerization, and logistics
Bachelor’s degree in Mechanical Engineering, Industrial Engineering, Robotics, or a related technical field, or equivalent experience
What Will Give You a Competitive Edge (Preferred Qualifications)
Experience with digital twin modeling, simulation environments, or virtual commissioning of automation systems
Familiarity with Factory of the Future concepts, including AI-driven material flow, predictive analytics, and smart warehousing
Experience supporting launch planning in unionized manufacturing environments, including safety integration and ergonomic assessments
Knowledge of robotic safety standards and protocols such as ANSI/RIA R15.06 and ISO 10218 for collaborative and autonomous systems
Experience partnering with external automation vendors and system integrators to co-develop custom material handling solutions
Proficiency with data visualization tools such as Power BI or Tableau to track KPIs and communicate automation performance
Demonstrated success operating in fast-paced, high-variability manufacturing environments and driving innovation through ambiguity
#LI-MH1
]]>Onsite: This role is categorized as onsite. This means the successful candidate is expected to report to the Marion facility on a full-time basis.
The Role: The GM environmental team is 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 Supervisor, you will be working in an exciting manufacturing environment and be a part of a team fulfilling GM’s Vision of Zero Crashes, Zero Emissions, and Zero Congestion.
The GM Environmental Supervisor position focuses on environmental oversight at their local plant, plant partnership initiatives and process control improvements. Additionally, the Environmental Supervisor, as a People Leader, will lead a team of professionals that support additional facilities across the region.
What You'll Do (Responsibilities):
Your Skills & Abilities (Required Qualifications) :
What Will Give You a Competitive Edge (Preferred Qualifications):
This job may be eligible for relocation benefits.
]]>
Your Skills & Abilities (Required Qualifications):
What Will Give You A Competitive Edge (Preferred Skills):
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 Role:
Arlington Assembly is home to the team building GM’s highly awarded full-size SUVs, including the Cadillac Escalade. We are seeking a Quality Engineering Manager to lead quality engineering execution in a high-volume, high-complexity manufacturing environment where customer expectations are uncompromising and the opportunity to make an impact is significant.
This is a visible, hands-on leadership role for an engineering leader who thrives on solving difficult technical problems, preparing the organization for launches and engineering changes, reducing variation, and aligning cross-functional teams around decisive action. The selected leader will be expected to challenge existing approaches, turn complex quality data into durable solutions, and deliver measurable improvements in manufacturing execution and customer experience—while helping elevate Cadillac product execution toward Tier 1 luxury expectations.
What You'll Do:
Your Skills & Abilities (Required Qualifications):
What Will Give you a Competitive Edge (Preferred Qualifications):
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.
]]>General Motors is seeking a 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):
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
]]>GM Defense is looking for a highly performing Mechanical Design Engineer to lead the design, integration, and optimization of armor for tactical vehicles. In this role, you will design robust structural components, integrate mission-critical sub-systems, and ensure platforms meet strict performance and survivability standards. You will utilize Siemens NX to balance complex size, weight, power, and cooling budgets while collaborating closely with manufacturing teams.
You will be responsible for developing math and design solutions to meet subsystem and component requirements in a fast-paced environment on government programs as well as special projects. This activity requires creativity, initiative and independent problem-solving skills while supporting cross functional teams for issue resolution. This role requires an individual with drive and passion to embrace technology while becoming an expert in Engineering Best Practices, Manufacturing Requirements, highly skilled in NX, Teamcenter, VisMockup and the Windows Office. This person is expected to adhere to all ITAR requirements (International Traffic in Arms Regulations).
What You’ll Do
What You’ll Need (Required Qualifications)
#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
Onsite - This role is categorized as onsite. This means the successful candidate is expected to report to Oshawa Assembly on a full-time basis.
The Global Supply Chain (GSC) Business Planner supports the Oshawa Assembly GSC organization by coordinating business planning, performance management, financial forecasting, safety and compliance activities, and cross-functional initiatives. This role helps ensure GSC priorities are aligned, tracked, and executed across the plant.
Key Responsibilities
Required Qualifications and Experience
Core Competencies
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.
]]>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 Process and Configuration Lead role for Product Lifecycle Management with Siemens Teamcenter, you will work to provide business functions across GM with application solutions for current and future GVDP needs. This role will lead projects to support a variety of functions across the enterprise in Product Development Process integration with Siemens Teamcenter.
What You’ll Do (Responsibilities)
This role will interface with our business customers to:
Your Skills & Abilities (Required Qualifications)
What Will Give You a Competitive Edge (Preferred Qualifications)
#LI-KM2
]]>This is a field-based position with a remote work arrangement that requires up to 50% travel within the assigned territory on a recurring basis. The selected candidate must currently reside within the territory or be willing to relocate to Memphis, TN, or a surrounding area approved by leadership within 60 days of the start date.
The Role
As National Account Manager, you will own the relationship and business results for AutoZone while helping shape the growth of GM’s ACDelco business. This is a highly visible assignment that provides broad exposure across customer strategy, sales growth, pricing, product expansion, supply chain, and financial performance.
You will work across Sales, Finance, Supply Chain, Product, Cataloging, and Marketing to turn complex customer needs into practical, measurable business results. This is not a role with a ready-made playbook . Success requires strong commercial judgment, comfort navigating ambiguity, the ability to influence without direct authority, and ownership of complex issues from identification through resolution.
For someone energized by challenging customer dynamics and broad business ownership, this role provides an opportunity to strengthen end-to-end business acumen while directly influencing sales, margin, service, and customer outcomes.
What You’ll Do
Your Skills & Abilities (Required Qualifications)
What Can Give You a Competitive Advantage (Preferred Qualifications)
The Senior Technical Program Manager role sits within the broader Product Cybersecurity organization at General Motors and helps the team scale its impact through disciplined program management, measurable maturity, and strong internal customer partnerships. The role connects cybersecurity strategy to execution by improving program health, coordinating complex initiatives, and helping leaders deliver effective services to the teams we support.
Chevrolet
Be the driving force behind one of America's most recognized automotive brands. As part of Chevrolet’s Sales Team, you'll partner directly with dealers to grow sales, launch innovative products, and influence business performance across a diverse portfolio ranging from trucks and SUVs to EVs. This is an opportunity to make a measurable impact while building relationships and leading from the front.
The Role
As a District Sales Manager, you'll help lead the transformation of the automotive industry by connecting dealers with the products, technologies, and strategies shaping the future of mobility. You'll work side-by-side with dealer partners to deliver business results, accelerate EV adoption, enhance customer experiences, and bring innovative solutions to market. If you're energized by change, passionate about people, and motivated by making a measurable impact, this role offers a front-row seat to the future.
What You’ll Do
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 $86,900-$114,700. 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.
]]>
On-site: This role is categorized as onsite. This means the successful candidate is expected to report to the Arlington 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.
]]>This role is not eligible for relocation assistance
At General Motors, our product teams are redefining mobility. Through a human-centered design process, we create vehicles and experiences that are designed not just to be seen, but to be felt. We’re turning today’s impossible into tomorrow’s standard —from breakthrough hardware and battery systems to intuitive design, intelligent software, and next-generation safety and entertainment features.
Every day, our products move millions of people as we aim to make driving safer, smarter, and more connected, shaping the future of transportation on a global scale..
About the role:
The Fastening Engineer supports the design, selection, and validation of mechanical fasteners and bolted joints used in vehicle systems. This role ensures joints are robust, cost-effective, and manufacturable, while meeting safety, durability, and quality requirements. The engineer collaborates closely with Vehicle Engineering, Manufacturing Engineering, Supplier Quality, and Fastener Suppliers to apply GM global fastening standards and best practices.
What You’ll Do (Key Responsibilities)
Basic Qualifications (Requirements)
Preferred Qualifications
GM DOES NOT PROVIDE IMMIGRATION-RELATED SPONSORSHIP FOR THIS ROLE. DO NOT APPLY FOR THIS ROLE IF YOU WILL NEED GM IMMIGRATION SPONSORSHIP NOW OR IN THE FUTURE. THIS INCLUDES DIRECT COMPANY SPONSORSHIP, ENTRY OF GM AS THE IMMIGRATION EMPLOYER OF RECORD ON A GOVERNMENT FORM, AND ANY WORK AUTHORIZATION REQUIRING A WRITTEN SUBMISSION OR OTHER IMMIGRATION SUPPORT FROM THE COMPANY (e.g., H-1B, OPT, STEM OPT, CPT, TN, J-1, etc.)
#LI-JN1
]]>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):
This role is categorized as on-site. This means the successful candidate is expected to report to Advanced Technical Center full time.
The Role
The Interior Design Intern will support the GM China Design Studio in creating compelling interior concepts for future vehicle programs. This role is focused on pure interior design sketching and concept development, helping translate brand vision, China customer insights, and mobility trends into fresh and relevant interior proposals. The intern will work under the guidance of senior designers and collaborate with cross-functional partners to support the development of meaningful in-cabin experiences for GM brands serving China and global markets.
What you'll do
Your Skills & Abilities (Required Qualifications)
What we offer
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 Cyber Threat Intelligence Analyst is a critical individual-contributor role within GM's Security Operations organization that turns internal and external threat and vulnerability data into timely, actionable intelligence—directly enabling GM's cyber defenders to prioritize detection, incident response, and risk reduction across our IT, operational technology (OT), and connected-vehicle environments.
As a core member of the Cyber Threat Intelligence (CTI) team, you will monitor and analyze threat activity and emerging vulnerabilities relevant to GM, maintain and enrich indicators of compromise and foundational threat-actor profiles, and provide time-sensitive intelligence support during active incidents and executive requests for information (RFIs). You will operate GM's intelligence tooling day to day—ingesting, normalizing, and operationalizing feeds through platforms such as our Malware Information Sharing Platform (MISP) and SIEM—and ensure that curated intelligence reaches the Protect, Detect, and Respond teams that depend on it.
This is a hands-on, execution-focused role where you will collaborate closely with Cyber Defense, Product Cybersecurity, Manufacturing/OT Cybersecurity, Third-Party Cybersecurity, and external partners—including Information Sharing and Analysis Centers (ISACs), law enforcement, government agencies, and commercial intelligence providers—to ensure intelligence is aligned to GM's priority risks and security objectives. Your work will measurably improve the speed, quality, and effectiveness of GM's intelligence-driven defenses.
What You'll Do:
Monitor, triage, and analyze threat activity and emerging vulnerabilities relevant to GM's IT, OT, and connected-vehicle environments, and assess their potential impact and priority
Produce clear, actionable intelligence products—bulletins, vulnerability advisories, and threat-actor and campaign summaries—tailored to both technical defenders and executive audiences
Maintain and enrich indicators of compromise, tags, and foundational threat-actor profiles, and operationalize them to GM sensors, tools, and detection workflows
Ingest, normalize, and curate intelligence from ISACs, government and law enforcement partners, commercial feeds, and open sources using platforms such as MISP and the SIEM
Provide time-sensitive intelligence support during active incidents and complete executive and cross-functional RFIs with well-reasoned, confidence-rated assessments
Partner with Cyber Defense, Product Cybersecurity, Manufacturing/OT, and Third-Party Cybersecurity to align intelligence to GM's priority risks and translate requirements into collection and reporting
Track relevant adversary tactics, techniques, and procedures (TTPs), mapping activity to frameworks such as MITRE ATT&CK to strengthen detection coverage and reduce risk
Contribute to continuous improvement of CTI processes, playbooks, enrichment automation, and metrics that raise the maturity of GM's intelligence-driven defenses
Your Skills & Abilities (Required Qualifications):
2+ years of experience in cyber threat intelligence, security operations, incident response, threat hunting, or a related cybersecurity discipline
Working knowledge of the threat-intelligence lifecycle, indicators of compromise, and adversary TTPs, with familiarity with frameworks such as MITRE ATT&CK and the Diamond Model
Ability to analyze security and threat data, correlate across sources, and communicate findings clearly to both technical and non-technical audiences
Hands-on experience with threat-intelligence and detection tooling (e.g., threat-intelligence platforms such as MISP, SIEM, EDR/NDR) and open-source research techniques
Understanding of common attacker techniques, malware behavior, phishing and credential-theft campaigns, and vulnerability and CVE/CVSS concepts
Strong written and verbal communication skills, including the ability to produce concise intelligence products and time-sensitive assessments under deadline
Bachelor's degree in Information Security, Computer Science, Information Systems, or equivalent practical experience
What Can Give You a Competitive Advantage (Preferred Qualifications):
Experience supporting intelligence for OT/manufacturing (ICS, PLCs, plant-floor systems) or connected-vehicle and embedded environments
Familiarity with ISAC participation (e.g., Auto-ISAC), law enforcement, or government intelligence-sharing communities
Hands-on scripting experience (Python, PowerShell, KQL, or similar) to enrich indicators and automate investigative and reporting workflows
Experience with clear- and dark-web monitoring, brand/impersonation abuse, employment-fraud investigations, or attribution of online personas
Exposure to cloud environments (Azure, AWS, GCP) and integrating intelligence into cloud-native detection tooling
Relevant certifications (e.g., GCTI, GCIH, GCFA, Security+, or equivalent)
Prior experience in the automotive industry or a similarly complex, deadline-driven, and regulated field
#LI-SB3
]]>The Role
At General Motors, we empower Product Managers to solve challenging customer and business problems. We seek passionate and innovative team members who can collaborate effectively within product management, program management, design, and engineering teams to discover and deliver impactful solutions. We hold our teams accountable for results and seek leaders who can influence teammates, stakeholders, and executives using data and logic.
As a Staff Product Manager you will define and drive the product strategy, requirements, and execution priorities for the systems that enable large-scale model training, experimentation, evaluation, and developer productivity across GM’s autonomous vehicle platform. This role will own critical product surfaces and workflows that help machine learning engineers, data scientists, and autonomy teams prepare training data, configure experiments, monitor progress, evaluate outcomes, and improve iteration speed.
Success requires strong technical judgment, deep customer empathy for ML practitioners, and the ability to translate complex training workflow needs into clear product requirements. You should be comfortable partnering closely with engineering, infrastructure, data, finance, and autonomy stakeholders; making principled tradeoffs across velocity, cost, reliability, and model quality; and influencing without direct authority in a highly technical environment.
What You’ll Do
Own product roadmap and execution for AI/ML training workflow capabilities that improve model development speed, training reliability, experiment traceability, and developer productivity.
Deeply understand the end-to-end ML training lifecycle, including data selection, dataset preparation, training job configuration, orchestration, monitoring, evaluation, debugging, and deployment handoffs.
Act as the voice of ML engineers, data scientists, autonomy developers, and infrastructure users by creating and running pain point intake loop, identifying workflow friction, productivity bottlenecks, and opportunities to reduce cycle time. Own framework to stack-rank and convert them into prioritized product requirements.
Define product requirements for training platforms, developer tools, observability systems, workflow automation, experiment management, and performance reporting.
Drive a metrics-based approach to product decisions by defining KPIs for developer productivity, training throughput, cost efficiency, experiment success rates, and time-to-insight.
Prioritize product investments by balancing customer impact, engineering complexity, infrastructure cost, model quality impact, and business urgency.
Fund unglamorous reliability and platform tech debt against competing demand for visible features, and of articulating that tradeoff to senior leaders in terms of throughput and cost beyond engineering hygiene.
Collaborate with engineering, program management, design, data platform, compute infrastructure, and finance teams to deliver high-impact capabilities on predictable timelines.
Use data, user research, workflow analysis, and internal benchmarking to inform roadmap decisions and validate whether shipped capabilities improve developer experience and productivity.
Communicate product status, tradeoffs, risks, and recommendations clearly to senior leaders, technical stakeholders, and cross-functional partners.
Mentor other product managers and cross-functional partners through technical product best practices, without direct people-management responsibility.
Stay current on AI/ML platform trends, developer productivity tooling, model training infrastructure, and competitive approaches to large-scale ML operations.
Your Skills & Abilities (Required Qualifications)
8+ years of product management or related technical product experience, including ownership of complex software platforms or developer-facing products.
Experience building products for AI/ML, data science, developer productivity, infrastructure, platform engineering, or other highly technical users.
Proven ability to define product vision, strategy, requirements, and success metrics for complex software products from concept through delivery and iteration.
Strong understanding of the ML lifecycle, including data pipelines, model training, experimentation, evaluation, performance analysis, and production handoffs.
Strong analytical skills with the ability to use quantitative and qualitative evidence to identify workflow bottlenecks, prioritize investments, and measure product impact.
Technical proficiency in working with complex software systems, distributed workflows, cloud or compute infrastructure, and data-intensive products. You must be able to independently reason for distributed training failures, like checkpoint recovery, GPU utilization loss, job variance, orchestration failures, and hold a reasonably technical debate with an ML engineer.
Excellent written and verbal communication skills, including the ability to explain technical concepts, tradeoffs, and recommendations to both technical and non-technical partners.
Demonstrated ability to partner with and influence senior stakeholders and cross-functional teams without direct reporting authority.
Comfort operating in ambiguous, fast-moving technical environments and making clear tradeoffs across speed, quality, cost, reliability, and user experience.
High ownership, resilience, and curiosity, with a track record of turning complex customer and engineering problems into practical product outcomes.
What Will Give You a Competitive Edge (Preferred Qualifications)
Master’s or Doctorate degree in computer science, engineering, data science, machine learning, or a related technical field.
Experience working directly with machine learning engineers, data scientists, or research teams on training platforms, experimentation systems, model evaluation workflows, or MLOps tools.
Experience improving developer productivity through workflow automation, observability, self-service tooling, platform simplification, or internal product development.
Experience with autonomous vehicles, robotics, simulation, perception, planning, or other data-intensive AI systems.
Experience driving change in large, complex organizations while partnering across product, engineering, infrastructure, finance, and program management teams.
Hybrid: This role is categorized as hybrid. This means the successful candidate is expected to report to the Warren Technical Center in Warren, MI or Sunnyvale, CA office three times per week, at minimum.
Compensation: The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of the California Bay Area.
The salary range for this role is $134,700 to $245,00. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.
Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.
Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.
Company Vehicle: Upon successful completion of a motor vehicle report review, you will be eligible to participate in a company vehicle evaluation program, through which you will be assigned a General Motors vehicle to drive and evaluate. Note: program participants are required to purchase/lease a qualifying GM vehicle every four years unless one of a limited number of exceptions applies.
#LI-RF1
#GM-AV-1
If you are a current employee of General Motors working in a per diem, hourly, or regular salaried role, you must apply through the internal careers page. Please navigate to https://workday.gm.com and search for GM Find Jobs.
The General Motors Manufacturing Group is seeking to identify highly motivated and qualified individuals for current and potential future opportunities as a Group Leader. In anticipation of these openings becoming available, we welcome you to apply so we can begin the pre-screening and interview process.
Onsite: This role is categorized as onsite. This means the successful candidate is expected to report to Marion, Indiana on a full-time basis.
The Role:
As a Group Leader in Production, Quality, or Global Supply Chain (GSC), you will be responsible for leading teams of employees or technical personnel to drive operational excellence across manufacturing processes. This includes managing daily operations, developing and improving business processes, and fostering a culture of teamwork and collaboration.
In this role, you may oversee production activities, quality assurance, inspection, problem-solving, and GM Built-in-Quality initiatives. You will be expected to apply independent judgment within the framework of Global Manufacturing Systems, with a strong focus on Safety, People, Quality, Responsiveness, Cost, and Environment (SPQRCE).
What You'll Do (Responsibilities):
Production & Operational Management
Analyze and adjust daily manufacturing plans; manage manpower allocation and respond promptly to issues to maintain production flow.
Manage multiple tasks in a fast-paced environment, navigate ambiguity, and drive accountability through people and processes.
Continuous Improvement & Lean Practices
Improve business results using Lean Manufacturing; identify and eliminate waste for Safety, Quality, Throughput, and Cost.
Develop and maintain Throughput Improvement Process action sheets; lead corrective and preventive actions and generate Quality Alert Boards (QABs).
Quality & Compliance
Enforce quality processes with customer safety at the center; perform critical confirmations and ensure compliance requirements.
Drive quality through effective feedback/feedforward communication and resolve discrepancies promptly.
Leadership & Team Development
Coach and mentor team members and Team Leaders to foster skill development and adherence to standard work practices.
Conduct disciplinary interviews, manage grievances, and collaborate with union partners effectively.
Data-Driven Decision Making
Locate and analyze operational data to support accountability and continuous improvement initiatives.
Specific physical requirements of the position include the ability to:
Work in a loud manufacturing environment that may not be climate controlled (conditions can be hot or cold)
Possess good physical stamina and coordination to frequently and repetitively:
Bend, twist, kneel, crouch and reach to perform work
Lift or carry materials weighing up to 15 lbs. and periodically carry or lift materials weighing up to 40 lbs.
Walk and stand for prolonged periods of time
Occasionally sit, climb (including ladders and lifts) and drive vehicles and equipment
Read standardized work instructions, operate machines and tools, and perform quality inspections
Promptly detect and respond to safety instructions, alarms, and signals
Wear personal protective equipment, for example: safety glasses, gloves, hats, ear plugs, and safety shoes
Your Skills and Abilities (Required Qualifications):
One year of direct supervisory experience or at least 5 months as an internal GM per diem group leader
Experience managing, leading people, and addressing performance concerns
Experience solving complex problems and working in a fast-paced environment
Strong interpersonal skills, experience managing conflict, and decision making
Demonstrate a high analytical ability to solve complex problems
Basic computer proficiency (i.e. Microsoft Word, typing, email etc.)
Must be willing to work weekends and rotating shifts
18 years of age or older
High School Diploma or equivalent
What Can Give You a Competitive Edge (Preferred Qualifications):
Knowledge of Continuous Improvement Processes (CIP)
Proficient in Throughput Improvement Process (TIP)
Advanced understanding of manufacturing and assembly processes
Experience supervising employees in a union environment
Supply Chain or Quality Experience
Experience implementing Built-in-Quality Initiatives
Red X & DFSS Certification
Lean Manufacturing experience
Knowledge of timekeeping systems
The Role
We are seeking a Senior Systems Engineer to lead the implementation, integration, and operationalization of AI/Machine Learning (AIML) solutions for the CAE engineering community. In this role, you will implement AIML based POC's as well as turn those POC's into robust, supportable capabilities by installing, configuring, and integrating commercial and custom AIML tools with GM’s CAE applications, HPC environments, and data platforms. You will partner closely with CAE engineers, other systems engineers, and infrastructure teams to ensure these solutions are reliable, performant, and straightforward for engineering users to adopt at scale.
What You’ll Do (Responsibilities)
Lead the installation, configuration, and integration of AIML software and services into existing and new CAE workflows, including on-prem and cloud/HPC environments.
Integrate CAE tools, data sources, and AIML components (e.g., APIs, agents, pipelines, UIs) with enterprise platforms such as HPC clusters, Azure, data lakes, and Simulation Process and Data Management solutions.
Define and maintain system-level requirements, interfaces, and architecture diagrams for AIML-enabled CAE solutions, ensuring traceability and alignment with enterprise standards.
Develop and execute installation, integration, and regression test plans to validate end-to-end CAE workflows, including performance, reliability, and security checks.
Partner with CAE engineers and business stakeholders to harden and scale successful AIML POCs, including packaging, deployment, monitoring, and support hand-off.
Establish and improve operational processes (versioning, configuration management, logging, observability, incident response) for AIML-enabled CAE applications.
Ensure all solutions comply with GM security, data governance, and responsible AI guidelines, including appropriate handling of engineering and proprietary data.
Create and maintain user guides, runbooks, and integration documentation to support CAE engineers, support teams, and partner IT organizations.
Provide technical leadership and mentorship to peers and junior engineers on CAE integration patterns, AIML solution deployment, and systems engineering best practices.
Stay current on emerging AIML and CAE software capabilities and recommend pragmatic opportunities to simplify workflows, improve throughput, and reduce cycle time for engineering teams.
Your Skills & Qualifications (Required)
Bachelor’s degree in Systems Engineering, Computer Science, Mechanical/Automotive Engineering, or a related technical field.
7+ years of experience in systems engineering and/or software integration roles, with a focus on complex, distributed or HPC-based systems.
Hands-on experience installing, configuring, and integrating engineering or scientific software (e.g., CAE solvers, pre/post tools, optimization/MBSE/AI tools) across desktop, HPC, and/or cloud environments.
Strong background in systems engineering practices (requirements, interfaces, architecture, validation, and lifecycle management).
Practical understanding of AI/ML concepts and patterns (e.g., model endpoints, inference services, pipelines, RAG/agentic workflows) and how they integrate into applications and workflows.
Proficiency with scripting and automation (e.g., Python, shell, CI/CD tools) for installation, configuration, and validation of integrated systems.
Experience working with HPC or cloud-based compute environments (e.g., job schedulers, containers, GPU resources, monitoring and logging tools).
Demonstrated ability to collaborate with cross-functional teams (CAE engineers, software developers, data scientists, infrastructure, cybersecurity) to deliver integrated solutions.
Excellent communication, documentation, and stakeholder-management skills; able to explain complex technical topics to diverse audiences.
What Will Give You a Competitive Edge (Preferred)
Master’s degree in Engineering, Systems Engineering, Computer Science, or a related field.
Direct experience with CAE tools and workflows (e.g., structural, CFD, optimization, SPDM/EPDM) and how engineering teams run simulations in practice.
Experience integrating or deploying commercial AIML/physics-AI tools within engineering environments.
Familiarity with GM-like enterprise environments (regulated, safety-critical, or automotive) and associated security and compliance expectations.
#LI-CK1
Gm does not provide immigration-related sponsorship for this role. Do not apply for this role if you will need gm immigration sponsorship (e.g., H-1B, TN, STEM, OPT, etc.) Now or in the future.
This job may be eligible for relocation benefits.
]]>The 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.
]]>What You'll Do
Work closely with company leaders, Program Management Office and hardware/software TPMs to create and own program milestones, cross-team integration schedule and execution plans.
Coordinate hardware design, development and validation efforts in a fast-paced, multi-
Develop hardware validation plans that align with internal customer needs and major company milestones.
Proactively resolve issues and drive course corrections as needed - be directly involved
Help manage and drive complex, fast-evolving hardware systems and components both
Coordinate and manage the engagement with a Contract Manufacturer for PCBA/Mechanical design releases, hardware builds and validation
Capture and track inter-team dependencies and handoffs; monitor and help resolve
issues.
Ensuring that all business deliverables are identified and accounted for in the project plan with responsibility and due dates
Facilitates decision making among GM stakeholders to develop project scope of work documents and project plans based upon requirements, changes, variances and contingencies that arise during the implementation. Facilitates amicable solutions with the appropriate customer(s) and project sponsor/owner.
Define program deliverables, metrics and KPIs. Set up mechanisms to track/report.
Communicate progress effectively across program teams, including third parties and lead meetings to present hardware engineering work to GM leadership.
Conduct periodic retrospectives; continuously assess and improve processes and tools.
Your Skills & Abilities (Required Qualifications)
BS in engineering, science, or a related field
Minimum of 5 years of Technical Program Management experience
Minimum of 2 years of experience managing contract manufacturers in the development of new hardware products, including responsibilities such as PCBA design release, BOM management, SMT processes, and manufacturing test implementation
Ability to understand complex hardware/software systems and product development process
Familiarity with hardware design and development processes including board-level design, mechanical engineering, and hardware validation
Strong technical and non-technical communication skills
Be detail-oriented and able to confidently bring order and organization to any team
Ability to handle ambiguities and work in a fast-paced, dynamic environment
This position requires the ability to legally operate a motor vehicle on a regular basis.
Hybrid: This role is categorized as hybrid. This means the successful candidate is expected to report to the office three times per week, at minimum. This position will be located in Sunnyvale, CA or Warren, MI.
Compensation: The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of the California Bay Area.
The salary range for this role is $134,700 to $245,000. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.
Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance
Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.
Company Vehicle: Upon successful completion of a motor vehicle report review, you will be eligible to participate in a company vehicle evaluation program, through which you will be assigned a General Motors vehicle to drive and evaluate. Note: program participants are required to purchase/lease a qualifying GM vehicle every four years unless one of a limited number of exceptions applies.
#LI-RF1
]]>The Role -
The Senior Interior Designer is responsible for defining and driving the creative direction of vehicle interiors for GM brands serving China and global markets. This role leads interior theme development from early advanced concepts through production execution, ensuring that designs deliver compelling customer experiences , express brand DNA , and meet feasibility, quality, and cost targets.
You will collaborate closely with UX/HMI, CMF, Studio Engineering, VSE, Product Planning, and Customer Research .
What You’ll Do -
Lead interior design themes for assigned programs (advanced and production) from early sketch to final CAS/digital model and design freeze.
Translate brand strategy, China customer insights, and technology roadmaps into clear, differentiated interior concepts.
Generate and review high-quality sketches, storyboards, digital renderings, and VR/3D presentations that communicate spatial concepts, UX flows, and CMF direction.
Partner with UX/HMI and CMF teams to create holistic interior experiences that integrate displays, lighting, controls, materials, and sound.
Work closely with Studio Engineering and Packaging to ensure concepts are technically feasible, manufacturable, and aligned with safety, ergonomic, and regulatory requirements.
Drive interior design deliverables and gateways in line with the Design GVDP process , ensuring timing, quality, and alignment with global and regional leadership expectations.
Prepare and present design proposals in studio reviews, Design Leadership Team (DLT) reviews, GDRs, and executive design forums , incorporating feedback into refined solutions.
Support customer clinics, research activities, and VR evaluations , defining stimuli and synthesizing learnings back into design directions.
Provide creative leadership, mentoring, and day-to-day guidance for junior and senior interior designers within the team.
Partner with Global Design studios to align China proposals with global brand language while championing China-specific needs and innovation .
Ensure all design work adheres to GM standards for craftsmanship, surface quality, proportion, and user-centered design .
Contribute to advanced and exploratory interior projects , including new interaction models, future cockpit concepts, and AI- or data-enabled experiences.
Maintain a strong awareness of competitive benchmarks, design trends, and emerging technologies relevant to automotive interiors and in-cabin experience.
Your Skills & Abilities (Required Qualifications)
Education (minimum): BA or MA degree in Transportation, Automotive, or Industrial design, or equivalent experience
3+ years of professional work experience in automotive design, preferably with international experience at prominent European OEM studios or design houses
Comprehensive Interior design ability that begins with creating innovative and relevant design concepts, fresh new design themes, cohesive and attractive design proposals, and continues all the way to the completion of a 3D vision (i.e. 3D digital and full-size clay models)
Superb professional sketching and rendering skills, 2D visual communication is very important
Capable of conceptual thinking and cross functional collaborative work
Desire, ability and dedication of total involvement in a holistic design process
Good understanding of user needs in different scenarios; able to improve the user experience via design
At General Motors, our product teams are redefining mobility. Through a human-centered design process, we create vehicles and experiences that are designed not just to be seen, but to be felt. We’re turning today’s impossible into tomorrow’s standard — from breakthrough hardware and battery systems to intuitive design, intelligent software, and next-generation safety and entertainment features.
Every day, our products move millions of people as we aim to make driving safer, smarter, and more connected, shaping the future of transportation on a global scale.
The Role
General Motors is at the forefront of the transformation of automotive with the electrification of our portfolio and the development of leading-edge central compute, connectivity, and autonomous capabilities.
Our Semiconductor Engineering team is a dynamic, high‑energy, and innovative group focused on design and commercialization of leading‑edge silicon enabling the future of GM’s Software Defined Vehicle (SDV) platforms – centra
We are seeking a highly skilled and driven Senior Hardware Engineer – MCU Performance Analysis to join our Semiconductor Center of Excellence. In this pivotal role, you will lead the definition, development, and execution of MCU performance analysis strategies for state‑of‑the‑art microcontroller solutions used in next‑generation automotive electronics platforms.
You will be responsible for MCU‑centric performance modeling, analysis, and correlation, including workload and benchmark definition, silicon performance simulations, measurement and debug to ensure our MCU platforms meet functional, performance, efficiency, and real‑time requirements from concept through production.
What You’ll Do:
Define MCU performance analysis strategies, including KPIs, workloads, benchmarks, coverage goals, and pass/fail criteria
Develop performance and design specifications to support sourcing, architecture trade-offs, and ECU/system decisions
Identify and resolve performance bottlenecks across cores, memory, interconnects, peripherals, and software stacks
Build and maintain MCU performance models to support architectural exploration, sizing studies, and what-if analyses
Select or develop representative workloads and benchmarks for automotive use cases such as real-time control, diagnostics, safety monitoring, communications, and signal processing
Create and maintain automation, tools, and scripts for analysis, data collection, and reporting using Python, C/C++, or similar languages
Partner with hardware, ECU, and software teams to translate system requirements into measurable performance targets and test cases
Present performance insights, trade-offs, and recommendations to technical and non-technical stakeholders
Required Qualifications:
Bachelor’s degree in Electrical Engineering, Computer Engineering, Software Engineering, Computer Science, or a related field.
7+ years of experience in MCU or embedded processor performance analysis, modeling, or embedded systems development.
Strong understanding of MCU/CPU architecture, including pipelines, caches, memory subsystems, buses/interconnects, peripherals, interrupts, and real-time constraints.
Demonstrated experience defining and executing structured performance analysis plans, including definition of objectives, workloads, metrics, and traceability to system requirements.
Hands‑on experience analyzing and optimizing embedded/MCU‑based systems, including profiling, hotspot analysis, and trade‑offs across performance, power, and memory.
Experience developing automation, tools, or scripts for performance analysis and data processing (for example, Python, C/C++, or similar scripting environments).
Experience in workload and benchmark selection, analysis, and development.
Proven ability to conduct feasibility studies evaluating performance metrics, design trade-offs and presenting solutions that optimize system performance, power and timing.
What Can Give You a Competitive Edge (Preferred Qualifications):
Master’s degree in Electrical Engineering, Computer Engineering, Software Engineering, Computer Science, or a related field.
Experience with automotive or other safety‑critical MCUs and ECUs, including real‑time and functional safety consideration.
Programming experience in languages such as C, C++, or Python.
Benefits:
GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.
#LI-JK3
]]>General Motors is at the forefront of the transformation of automotive with the electrification of our portfolio and the development of leading-edge central compute, connectivity, and autonomous capabilities.
Our Semiconductor Engineering team is a dynamic, high‑energy, and innovative group focused on design and commercialization of leading‑edge silicon enabling the future of GM’s Software Defined Vehicle (SDV) platforms – central compute units, connectivity modules, and other controllers.
We are seeking a skilled and driven Hardware Test Engineer – MCU to join our Semiconductor Center of Excellence. This role will contribute to the definition, development, and execution of hardware test strategies for state‑of‑the‑art Microcontroller (MCU) solutions used in next‑generation automotive electronics platforms. You will be responsible for MCU and MCU‑centric ECU board bring‑up, test plan creation, automated test development, and systematic debug to ensure our silicon and hardware platforms meet functional, performance, and reliability goals from early samples through production.
#LI-JK3
]]>Hybrid: This role is categorized as hybrid. This means the successful candidate is expected to report to Austin TX IT Innovation Center or Warren Michigan 3 days per week (T-W-Th)
The Role
We are looking for a skilled Staff Embedded Software Engineer with a deep understanding of distributed systems and fleet-scale device management to develop, optimize, and maintain our embedded control and data plane infrastructure. The ideal candidate will have a strong background in software development (C/C++), a passion for open-source technologies, and experience designing and operating data-intensive pipelines together with the configuration systems that manage them across a distributed device fleet
What You'll Do (Responsibilities)
Your Skills & Abilities (Required Qualifications)
What Can Give You a Competitive Advantage (Preferred Qualifications)
#LI-CK1
Gm does not provide immigration-related sponsorship for this role. Do not apply for this role if you will need gm immigration sponsorship (e.g., h-1b, tn, stem opt, etc.) Now or in the future.
]]>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
The Super Cruise Monetization team is seeking a motivated, analytical student to support the development of a new retail subscription sales strategy for General Motors’ advanced driver assistance technology. This project-based internship will provide hands-on experience in customer research, historical data analysis, go-to-market strategy, and cross-functional collaboration.
You will contribute to work that helps General Motors understand customer purchase behavior, evaluate price sensitivity, and identify opportunities to grow subscription sales across multiple customer touchpoints. This is an opportunity to help shape the future of automotive technology while learning from a dedicated, fast-paced, and highly engaged team.
The Super Cruise Monetization team leads retail subscription sales strategies and go-to-market campaigns for Super Cruise. The team works across General Motors to understand customer needs, develop business recommendations, and create strategies that support the growth and adoption of subscription-based automotive technology.
You will collaborate with internal partners and OnStar channel partners to evaluate how new strategies can be delivered across multiple sales and customer engagement channels. The team combines customer insights, data analysis, and business strategy to inform decisions that create value for customers and General Motors.
Research and analyze sales data to identify insights about customer purchase behavior.
Use Databricks to process and analyze historical data, identify consumer price sensitivities, and evaluate market trends.
Gather and synthesize qualitative insights through focus groups.
Build and maintain effective working relationships with internal partners.
Collaborate with OnStar channel partners to evaluate the feasibility of proposed strategies across multiple customer touchpoints.
Organize findings from multiple data sources and translate them into a clear, cohesive story.
Support the development of a sales strategy recommendation for retail subscriptions.
Present research findings, analytical insights, and recommendations to internal stakeholders.
Required Qualifications
Pursuit of a Bachelor’s degree in one of the following areas: Sales, Marketing, Business, Automotive, Data Sciences, Engineering
Must be graduating between December 2027 and June 2029
Able to work fulltime, 40 hours per week during the 12 week summer intenship
Preferred Qualifications
Ability to generate, understand, and present information from multiple data sources in a clear and cohesive manner.
Strategic thinking skills and the ability to integrate diverse perspectives and viewpoints.
Strong computer and systems skills, including proficiency with Microsoft Excel, Word, and PowerPoint.
Experience with SQL or Python for data analysis.
Experience in the automotive industry, preferably in sales, marketing, strategy, or analytics.
Strong written, verbal, and interpersonal communication skills.
Ability to work independently and collaboratively in a fast-paced environment.
Curiosity, initiative, and a willingness to learn new tools and concepts.
Start Date
Start dates for this internship role are May 24th & June 14th of 2027.
Work Arrangement:
Hybrid: This role is categorized as hybrid. This means the successful candidate is expected to report to the Global Technical Center in Warren, Michigan - 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.)
]]>Are you passionate about accelerating the future of autonomous driving? Join the Embodied AI team at General Motors. Our team is developing and deploying machine learning solutions that support safe and reliable autonomous vehicle behavior across real-world scenarios.
As a Staff AI/ML Engineer within the Onboard 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 that translate raw sensor data into actionable driving behaviors, enabling vehicles to robustly 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.
The Onboard Embodied AI team is at the forefront of developing groundbreaking onboard ML systems powering fully autonomous vehicles. We leverage modern end-to-end machine learning approaches with sophisticated neural networks trained from large-scale driving data and using state-of-the-art alignment approaches. Our solutions enable vehicles to understand complex, dynamic driving environments, handle uncertainty gracefully, and adapt seamlessly to changing conditions. Join a collaborative and innovative team redefining autonomy through state-of-the-art machine learning, delivering solutions that move beyond current technological boundaries.
Key Responsibilities:
Drive the design, development, and deployment of advanced onboard ML models, delivering end-to-end solutions capable of real-time inference and robust autonomous driving performance.
Lead and architect complex machine learning projects, from conception through validation to onboard implementation, emphasizing scalability, robustness, and safety-critical operation.
Champion innovation in neural network architectures, training methodologies, and inference optimization strategies suited for real-time onboard deployment.
Provide technical mentorship and thought leadership, elevating engineering practices, and fostering ML innovation across teams.
Collaborate closely with multidisciplinary engineering groups, ensuring seamless integration of ML capabilities into autonomous vehicle systems.
Influence technical roadmaps, shaping strategic ML priorities aligned with company objectives and product milestones.
Your Skills & Abilities:
Master's or Ph.D. in Machine Learning, Robotics, Computer Science, Electrical Engineering, or a related technical field.
4+ years of experience working with large-scale Foundation Models, including LLMs, VLAs and vision-focused models.
Extensive experience developing and deploying advanced ML systems, particularly in end-to-end real-time onboard applications.
Proven track record as a technical expert in developing robust deep learning models that directly map sensor data to actionable outputs within safety-critical systems.
Deep expertise in state-of-the-art computer vision techniques, neural architectures, representation learning, real-time inference, model optimization, and robustness under uncertainty.
Strong software engineering proficiency, particularly Python and C++, alongside extensive hands-on experience with modern ML frameworks (PyTorch, TensorFlow, JAX).
Excellent communication, collaboration, and mentoring abilities, comfortable influencing technical strategy and guiding ML engineering excellence across the organization.
AV/ADAS experience is a big 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 $180,000 to $280,000. 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.
Hybrid: This role is categorized as hybrid. This means the successful candidate is expected to report to the Mountain View Technical Center in the Bay Area three times per 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.
#LI-CX1
#GM-AV-1
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.
#LI-SA2
]]>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
Support General Assembly vehicle programs through virtual engineering, dynamic simulation, virtual builds, and manufacturing-readiness assessments. This individual-contributor role owns assigned technical work, delivers accurate simulation results, and collaborates with manufacturing, product, architecture, and virtual engineering partners across multiple vehicle programs. The successful candidate will balance competing priorities, communicate risks early, maintain consistent quality, and meet program milestones while applying simulation, automation, data, and artificial intelligence to improve engineering work.
What You'll Do
Perform dynamic simulations for robotic and manual General Assembly operations using Siemens Process Simulate and Tecnomatix in eMServer and Teamcenter environments.
Assess product designs, process concepts, tooling, equipment, and product interfaces for manufacturing readiness, identifying ergonomic, clearance, interference, access, sequence, and process risks early in product development.
Lead or support virtual builds across the product lifecycle, including creating and managing manufacturing build sequences using Manufacturing Process Planner.
Partner with manufacturing engineers, architecture leads, product teams, and other stakeholders to clarify study objectives, review engineering inputs, develop work-order instructions, and communicate results.
Review and compare engineering math data and product information in Teamcenter and visualization tools to identify missing, duplicate, or unnecessary study requests across related vehicle configurations.
Configure simulation workcells, execute milestone-driven and non-milestone studies, document issues, prepare clear reports, and recommend improvements to product, process, tooling, and equipment designs.
Prioritize work across multiple programs based on timing, workload, study complexity, and business needs while communicating risks and changing priorities early.
Perform quality reviews of simulation studies, provide constructive technical feedback, and support knowledge sharing and mentoring for newer team members.
Maintain program tracking records and program-specific simulation tool libraries used for dynamic studies.
Help validate software releases, revisions, and digital tools used in virtual engineering, and troubleshoot issues involving Teamcenter, Process Simulate, eMServer, engineering data, work orders, or related systems.
Use coding, scripting, data, automation, and artificial-intelligence-enabled workflows to reduce repetitive work and improve engineering processes.
Identify and implement practical improvements to simulation methods, reports, digital tools, and team processes.
Support General Motors vehicle programs by helping identify manufacturing risks earlier, improve product and process decisions, and contribute to successful vehicle launches.
Your Skills & Abilities (Required Qualifications)
Bachelor’s degree in engineering, manufacturing engineering, industrial engineering, computer science, or a related technical field; equivalent practical experience may be considered.
Experience with dynamic simulation, manufacturing process analysis, virtual engineering, or a related technical discipline.
Working capability with Siemens Process Simulate, Tecnomatix, or a comparable manufacturing simulation platform.
Working capability with Teamcenter, including navigating product structures, reviewing engineering data, and supporting virtual engineering workflows.
Working knowledge of Manufacturing Process Planner, VisMockup, or comparable manufacturing planning and visualization tools.
Understanding of General Assembly processes and manufacturing readiness, including the relationship between product design, process design, tooling, equipment, and operator interaction.
Basic to intermediate coding or scripting capability in Python, C#, VBA, or a similar language, with the ability to automate repetitive work or troubleshoot technical problems.
Working proficiency with Google Workspace, including Google Sheets, Docs, Slides, Drive, and shared collaboration spaces.
General-user proficiency with Jira and Confluence, including the ability to create, update, organize, and retrieve project information.
Demonstrated ability to learn new software, systems, and technical methods quickly.
Ability to manage multiple active programs, balance competing priorities, communicate risks early, and deliver work to required timing and quality expectations.
Strong problem-solving, organization, communication, and collaboration skills.
Willingness to work flexible hours and occasional weekends, and to travel for short-term program events, including possible international travel.
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.
Job Description
Responsibilities include:
Additional Job Description
Required Qualifications:
Preferred Qualifications:
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.
]]> 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.)
The Launch Electrical Process Coordinator serves as a key technical resource during vehicle launch activities, ensuring manufacturing requirements, electrical standards, best practices, and Electrical Bill of Operations (BoO) requirements are successfully implemented. This role partners closely with Manufacturing, Quality, Supplier Quality, Product Development, and supplier teams to support the deployment, validation, and continuous improvement of electrical processes and in-process testing systems throughout General Motors manufacturing facilities and designated supplier locations.
The L aunch Electrical Process Coordinator plays a critical role in delivering world-class vehicle quality, supporting successful launches, and driving operational excellence.
What You'll Do
Your Skills & Abilities
What Will Give You a Competitive Edge
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%).
About the role:
Plan, develop and analyze information necessary to support program leadership decisions regarding the product and business. A high level of independent judgment and considerable creativity is involved to solve unique execution and business opportunities. Document program decisions regarding product content and strategies. Develop and maintain policies and procedures related to Global Program Management and the Product Execution Teams.
What You’ll Do:
Support and backup Program Manager responsibilities including but not limited to:
Qualifications and Requirements
Nice to Have
GM is seeking a Sportscar Motorsports Strategy intern to perform complex analytical work supporting the GM Motorsports program. The intern will support race-strategy initiatives by applying vehicle dynamics, race engineering, and motorsports strategy principles, along with programming knowledge, to existing and future simulation tools.
The Team:
The Sportscar Motorsports Strategy team supports race-strategy and vehicle-performance decision-making across GM’s IMSA and FIA World Endurance Championship (WEC) programs. The team analyzes vehicle, tire, weather, traffic, race, and simulation data; develops and evaluates strategy models; improves simulation workflows; and works with engineers and strategists to investigate performance trends, evaluate alternatives, quantify uncertainty, and communicate technical findings.
What You’ll Do:
• Analyze race, vehicle, tire, weather, and simulation data to identify trends and performance opportunities.
• Support the development, testing, and improvement of race-strategy and vehicle-performance simulation tools.
• Apply engineering fundamentals, statistics, optimization, and dynamic-systems concepts to practical motorsports problems.
• Develop scripts, visualizations, and analytical workflows that improve the speed, consistency, and usability of engineering decisions.
• Explore appropriate applications of artificial intelligence and machine learning, including performance prediction, time-series analysis, classification, anomaly detection, parameter estimation, and surrogate modeling.
• Validate analytical and machine-learning results against engineering expectations, simulation outputs, and observed race data.
• Document methods, assumptions, limitations, and results, and communicate recommendations to technical and cross-functional audiences.
Required Qualifications:
• Pursuing a Bachelor’s degree in Mechanical Engineering, Aerospace Engineering, Electrical Engineering, Mathematics, Physics, Data Science, or a related field.
• Expected graduation between December 2027 to June 2029.
• Able to work full-time, 40 hours per week, during the summer months.
• Familiarity with Python, AI/ML concepts, and/or .NET programming technologies.
• Ability to organize and analyze data, explain technical results, and work effectively in a collaborative engineering environment.
Preferred Qualifications:
• Coursework, project, research, or internship experience involving vehicle dynamics, motorsports, controls, simulation, optimization, statistics, or data science.
• Experience using Python libraries.
• Familiarity with time-series data, regression, classification, clustering, anomaly detection, or probabilistic modeling.
• Understanding of model explainability, uncertainty, data quality, and responsible use of generative AI tools in engineering work.
• Ability to work with large datasets and communicate results through clear visualizations and concise technical documentation.
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 Concord, North Carolina, on a full-time basis.
Additional Posting Details:
Benefits: Paid U.S. GM holidays, GM Family First Vehicle Discount Program, and potential for growth within GM.
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 24, 2027 or June 14, 2027.
]]>Support the Chevrolet IndyCar Program by turning race, telemetry, timing, scoring, and track data into reliable analysis and decision support. The intern will work with Drew Bennison and the Race Strategy & Analytics team to prepare data, test analytical tools, evaluate model outputs, and communicate findings that help improve race-weekend execution.
The Team:
The Motorsports Competition analytics team develops practical tools for race strategy and performance improvement across road courses, street circuits, ovals, and superspeedways. The team partners with race engineers, strategists, Chevrolet teams, Ilmor, GM engineering groups, and data/software specialists to make better decisions throughout testing, race events, and the offseason.
What You’ll Do:
• Assist with collecting, cleaning, organizing, and validating IndyCar race, telemetry, timing, scoring, fuel, tire, and track data.
• Support back-testing, scenario analysis, and basic simulation of race-strategy recommendations.
• Help evaluate model inputs and outputs related to fuel usage, tire performance, cautions, pit cycles, track position, and remaining-race conditions.
• Maintain track configuration data, timing lines, pit segments, logical segments, and related documentation.
• Create clear charts, summaries, dashboards, and technical documentation for engineering and competition stakeholders.
• Support software and data-engineering tasks such as testing workflows, checking APIs or data pipelines, documenting defects, and verifying fixes.
• Participate in race-replay reviews and help compare model recommendations with actual race outcomes.
• Learn and apply disciplined practices for version control, testing, data quality, and communicating analytical assumptions.
Required Qualifications:
Preferred Qualifications:
• Experience with Python, SQL, data visualization, or statistical analysis
• Familiarity with Git, APIs, databases, cloud analytics, or software testing
• Coursework or project experience involving simulation, optimization, machine learning, or time-series data
• Interest in motorsports, vehicle performance, race engineering, or other high-performance technical environments
• Strong problem-solving, communication, organization, and technical writing skills
• Ability to work collaboratively while also completing well-defined tasks independently
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. The successful candidate is expected to report to the Charlotte Technical Center three times per week, at minimum.
For those eligible, 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.
]]>Every day, our products move millions of people as we aim to make driving safer, smarter, and more connected, shaping the future of transportation on a global scale.
Work Arrangement
This role requires regular work in an active processing-center environment and direct collaboration with Operations personnel.
Occasional travel, extended onsite support, or work outside standard hours may be required to support operational trials, installations, implementations, or launches.
The Role
General Motors is seeking a Manufacturing Engineer – Industrial and Process Engineering to improve the safety, efficiency, capacity, and scalability of operations at the Davison Road Processing Center. This role combines industrial engineering expertise with hands-on process engineering, continuous improvement, and new-project development.
You will design effective workstations and material-flow processes, conduct standard-time and work-measurement studies, develop accurate standardized work, and lead improvements from problem definition through implementation and sustainment. You will also translate operational needs into practical engineering concepts, requirements, estimates, implementation plans, and measurable outcomes.
This is an individual-contributor role for an engineer who can exercise independent judgment, apply strong technical depth, and lead cross-functional work without direct authority. You will serve as a trusted technical partner to Operations and help build capability across the engineering and operating teams.
What You’ll Do
Industrial engineering and standardized work
Process engineering and continuous improvement
New-project scoping and execution
Your Skills & Abilities (Required Qualifications)
What Will Give You A Competitive Edge (Preferred Qualifications)
#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:
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
]]>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.
]]>Every day, our products move millions of people as we aim to make driving safer, smarter, and more connected, shaping the future of transportation on a global scale.
The Role
As a Senior Conveyor Engineer, you will lead the installation and operational activities of manufacturing conveyor equipment in GM facilities, ensuring compliance with industry and GM standards. You’ll play a key role in layout development to support manufacturing processes, integrate lean concepts for cost-effective designs, and collaborate on material presentation for operator assembly.
This role involves managing multiple plants and large-scale projects, understanding the integrated supplier model, and overseeing project timing and financials. You’ll work cross-functionally with internal teams and external partners, exercising creativity, initiative, and independent judgment in a dynamic environment.
Travel as required: Frequency of the travel depends on the project requirements (up to 50%). All conveyor engineers in the department may be required to support execution projects which can have monthly travel requirements.
What You'll Do
· Execute complex conveyor projects, including engineering, fabrication, installation, and start-up in GM assembly plants across North America.
· Lead multiple conveyor projects and equipment installations, ensuring compliance with GM standards and safety requirements.
· Develop project timelines and manage financial aspects of conveyor execution.
· Collaborate with engineers and suppliers to support project execution and resolve operational issues.
· Drive lean conveyor designs to minimize total costs while supporting material presentation for assembly.
· Utilize GM documentation and ensure adherence to conveyor specifications and standards.
· Generate technical solutions for conveyor challenges and track deliverables to ensure timely completion.
Your Skills & Abilities (Required Qualifications)
· 5+ years of experience in manufacturing engineering.
· Bachelor’s degree in engineering, science, project management, or related field (or equivalent experience).
· Proficient in reading, understanding, and developing conveyor layouts.
· Strong analytical skills with excellent communication and interpersonal abilities for effective problem-solving.
· Proficient in computer applications, interpreting engineering drawings, and adapting to new systems.
What Will Give You a Competitive Edge (Preferred Qualifications)
· Experience as a conveyor engineer or in maintenance roles.
· Strong technical knowledge in process engineering disciplines, including plant layouts, process requirements, throughput, and simulation—especially in Body, Paint, and General Assembly.
· Proven experience in project management.
· Proficiency in AutoCAD and FactoryCAD for creating and modifying designs.
· Familiarity with NX software or general awareness of its applications.
]]>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.
The Product Safety Data Analytics team is seeking highly motivated and qualified candidates for the position of Data Scientist focused on hazard monitoring.
This is a great opportunity for an innovative data scientist with hands-on experience in statistical analysis, data interpretation, automation, and development of scalable analytical solutions. This role requires strong programming skills and the ability to solve complex problems, automate analytical workflows, support safety investigations, and strengthen hazard monitoring capabilities. You will be part of a highly collaborative team that values growth, creativity, and a relentless focus on data-driven business transformation.
In this role, you will develop and improve analytical solutions to identify, monitor, and analyze potential emerging vehicle safety issues. You will work closely with business partners to understand their challenges and needs, perform appropriate data analyses, improve monitoring methods, and automate workflows.
What You’ll Do (Responsibilities):
Your Skills & Abilities (Required Qualifications):
What Will Give You a Competitive Edge (Preferred Qualifications):
#LI-KE2
]]>We are seeking a Senior Manufacturing Engineer to provide technical leadership and operational support within the Body Shop. This role is responsible for improving manufacturing processes, supporting maintenance and production teams, and driving solutions that align with Safety, People, Quality, Responsiveness, Cost, and Environment priorities. The ideal candidate is a strong planner, a versatile problem solver with Fanuc robotic experience, and a leader who understands Body Shop cell structure, station flow, automation, tooling, and dimensional quality requirements.
What You'll Do
Provide technical leadership and day-to-day support for Body Shop operations, maintenance, tooling, automation, and quality systems.
Plan, prioritize, and coordinate maintenance, engineering, and production activities to support uptime, throughput, quality, and safe execution.
Serve as a technical resource for skilled trades, production teams, salary teams, outside vendors, and cross-functional partners.
Apply strong knowledge of Fanuc robots, Body Shop cells, station flow, tooling, conveyors, automation systems, and manufacturing equipment to diagnose issues and implement effective countermeasures.
Support breakdown response, root cause analysis, project planning, equipment installation, commissioning, validation, and start-up activities.
Work with headquarters manufacturing engineering teams and plant partners to commission, install, validate, and improve automation solutions.
Analyze dimensional data from CMM, Perceptron Vision Systems, and related quality inputs to drive build-to-nominal performance.
Manage Body Mechanical Control procedures, including A, B, C, and E31 data and metrics, to support Body Shop metric achievement.
Lead problem-solving activities with Stamping, Body Shop, Paint, General Assembly, suppliers, and outside partners to resolve process and quality issues.
Support corrective actions for customer dissatisfaction concerns affecting GCA, DRR, DRL, and other quality performance indicators.
Maintain regular communication with internal and external partners and present planned maintenance items, open issues, and improvement plans to leadership.
Promote a safe work environment while supporting ISO, GMS, TIP, documentation, calibration, and standard work requirements.
Your Skills & Abilities
Bachelor’s degree in Engineering or currently pursuing an Engineering degree.
Minimum of 3 years of experience in Body Shop tooling, manufacturing dimensional processes, or related manufacturing engineering support.
Demonstrated experience with Fanuc robotic systems, process troubleshooting, and automation support in a manufacturing environment.
Strong understanding of Body Shop cell structure, station-to-station flow, manufacturing constraints, and process interdependencies.
Broad knowledge of manufacturing equipment, robotics, automation, tooling, quality systems, and maintenance processes.
Experience supporting new equipment build, installation, start-up, process validation, and launch readiness activities.
Strong planning, organization, and follow-through skills with the ability to anticipate needs and drive issues to closure.
Well-developed written and verbal communication skills with the ability to adapt communication across trades, production, engineering, vendors, and leadership.
Demonstrated ability to lead cross-functional teams, coordinate priorities, and make sound decisions within established procedures and company guidelines.
Extensive ISO knowledge and experience supporting GMS principles and continuous improvement activities.
Willingness to rotate shifts or work off-shifts as business needs require.
Purchasing Program Analyst
Reports to: Program Manager
What you will do/Responsibilities:
Required Qualifications:
Preferred qualifications:
We are seeking a results-driven Maintenance & Engineering Coordinator to lead performance improvement across Metal Assembly operations. This role will help move the organization from reactive problem solving to disciplined, data-driven maintenance and operational excellence.
The successful candidate will be a change leader who can standardize processes, identify gaps in maintenance performance, strengthen predictive maintenance practices, and partner with operations and skilled trades to improve equipment reliability, throughput, and overall plant performance.
What You’ll Do (Responsibilities)
Your Skills and Abilities (Required Qualifications)
What Can Give You a Competitive Edge (Preferred Qualifications)
Energy Conversion Systems (ECS) at General Motors is a fast-paced team that is working on developing propulsion technology. This role is within the ECS Structural Hardware organization. We create leading-edge propulsion hardware (cylinder blocks, cylinder heads and head gaskets, propulsion system brackets and support structures, transmission and drive unit structures, and structural joints) that provide industry leading performance and customer value for current and future GM Vehicles.
We are seeking highly motivated, forward thinking, innovative, high performing people leaders with a balance of strategic and tactical skills to join this dynamic environment and help move us forward to achieve GM’s Zero, Zero, Zero vision. This position is for a first-level people leader (Engineering Group Manager) and you would lead a team responsible for hardware design and release within ECS.
What You'll Do (Responsibilities):
· Provide leadership to ensure excellence in all aspects of GM and supplier engineering:
· Functional, performance and safety requirements are met, Quality, reliability, durability and serviceability targets are met
· Engineering deliverables occur on time & with quality
· Develop industry leading hardware execution efficiency
· Recruit, attract and hire industry leading talent
· Train, develop, coach, and mentor employees
· Provide clear line of sight from organizational objectives to individual contributions; direct and prioritize work accordingly
· Create an environment that fosters a positive and inclusive culture and encourages individuals to achieve their peak performance and engagement
· Strive to create a workplace of choice, where employees are excited to work, and the customer is at the center of everything we do
· Some domestic and international travel, about 5%
· Recognize contributions and accomplishments
· Provide candid, specific performance and behavior feedback; address areas of concern in a timely manner
· Provide opportunities for career growth and professional development
Your Skills & Abilities (Required Qualifications):
· Bachelor of Science degree in Engineering
· 7+ years of engineering experience in all phases of product development from initiation to launch
· Knowledge of GM engineering processes, tools, and vehicle / propulsion development processes
· Working knowledge of ICE propulsion and Electric Vehicle propulsion
· Experience leading projects and people (directly or indirectly), with highly developed interpersonal and communication skills
· Demonstrated organization and planning capability, with the ability to quickly identify and remove roadblocks and escalate as appropriate
· Excellent conflict resolution skills, with proven capability to balance technical and business needs
· Strong collaboration skills and enterprise business acumen
· Demonstrated ability to deal with ambiguity and support timely decision making
· Ability to manage multiple assignments with a high level of composure and proven results
· DFSS black belt
· Ability to travel domestically and internationally
What Can Give You a Competitive Edge (Preferred Qualifications):
· Masters in Engineering, Management, or Business Administration
· Prior DRE experience
· Prior people leader experience
]]>The Team:
At General Motors we strive for a culture of excellence. We act with integrity. We are driven by ingenuity and innovation. We have the courage to do and say what's difficult. Each of us takes accountability for results, drives for continued efficiencies and has the tenacity to win.
What You’ll Do:
We are seeking Industrial Engineer interns 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. Makes decisions with mentorship from supervisors.
Responsibilities:
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 August 2027 and June 2029
Able to work full-time, 40 hours per week
Must be willing to work in a plant environment
Preferred Qualifications:
Outstanding interpersonal and relationship management skills with the ability to effectively collaborate with varying levels of the organization
Excellent written and verbal communication skills with the ability to distill complex subjects to a wider audience
Evidence of strong character with integrity, honesty, accountability and trust
Consistently demonstrates innovative thinking that is customer-centric
Excellent project management skills and the proven ability to manage multiple projects at any given
Specific physical requirements of the position include the ability to:
Walk and stand for prolonged periods of time.
Read standardized work instructions, operate machines and tools, and perform quality inspections.
Promptly detect and respond to safety instructions, alarms, and signals. Wear personal protective equipment, for example: safety glasses, gloves, hats, ear plugs, and safety shoes.
Work in a loud manufacturing environment that is not climate controlled (conditions can be hot or cold).
Frequently and repetitively bend, twist, kneel, crouch, and reach to perform work.
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.
Bowling Green, KY
Detroit, MI
Flint, MI
Fort Wayne, IN
Grand Rapids, MI
Kansas City, KS
Romulus, MI
Spring Hill, TN
Lansing, MI
Marion, IN
Wentzville, MO
GM will provide a one-time lump sum taxable stipend payment to eligible students selected for the 2027 Student Program – to help facilitate administration of relocation benefits, please apply using the permanent address you would move from.
Start dates for this internship role are May 24th and June 14th of 2027.
EGM Manufacturing Software Integration (EGM MSI) – Global Manufacturing Electrical & SDV
Job Description
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 lead a team of software integration engineers responsible for releasing vehicle test and flash support for all GM North America (GMNA) produced vehicles.
WHAT: As an EGM MSI, you will lead the successful implementation of standardized software integration processes across GMNA final assembly plants, enhancing consistency, quality, and efficiency in production testing.
HOW: By collaborating with plant teams to align integration practices, resolve issues, and deliver dependable testing and flash support.
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.
What You’ll Do (Responsibilities):
Your Skills and Abilities (Required Qualifications):
What Will Give You a Competitive Edge (Preferred Qualifications):
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
]]>Role Summary
We are seeking a strategic, execution‑oriented Senior Business Planner to support the Physical & Virtual Test Platform (PVTP) organization within Digital Products. This role reports to the Executive Director, PVTP and partners closely with senior leaders, cross‑functional stakeholders, and other planners in the organization to ensure an integrated approach to communications, talent enablement, and operations.
This role will be responsible for a mix of strategic and tactical work, including:
Owning and executing our organizational communications strategy and rhythm (including All People Meetings), in close partnership with our communication partners and planners.
Designing and improving how we communicate strategy, goals, and progress in a way that translates across our org and demonstrates how our work supports the enterprise strategy.
Driving high‑impact strategic work by clarifying ambiguous problems and independently executing solutions in a fast-moving, transformational setting
The ideal candidate combines strong organizational and project management capability with structured problem‑solving, clear storytelling, and the ability to influence across all levels of the organization.
Key Responsibilities
Develop, maintain, and execute an integrated organizational communications strategy
Build and manage a communications calendar and narrative that connects strategy, priorities, and progress across the year.
Manage and continually improve internal communication channels, including email, Slack, SharePoint, and Confluence, ensuring the right messages reach the right audiences.
Partner closely with leadership on organizational artifacts (e.g., key wins, scorecards, workforce views, org presentations) to connect the data to clear narratives for leaders and employees.
Own All People Meeting (APM) planning and delivery end-to-end, including storyline, content creation, speaker preparation, logistics, feedback collection, and continuous improvement.
Plan and execute large‑scale leadership and employee engagement events. Responsible for planning, coordinating and executing, leadership offsites/summits, culture‑building sessions, and employee forums
Partner with HR and other planners to ensure our leaders receive clear communication and signals on upcoming programs that require awareness and action (ie – performance management cycles, annual required training, etc.).
Partner with leadership to ensure our communication strategy supports our senior leadership talent strategy – helping our leaders and employees understand what is expected of them and how we intend to support them all in their growth journey with GM.
Partner with leadership and HR partners to a nalyze our organizational engagement, Workplace of Choice survey results, and other gathered employee insights , helping translate findings into action plans where required.
Plan and support connection and recognition moments (e.g., employee spotlights, key wins, forums, listening sessions) that help employees feel connected to their work, the enterprise, and their personal growth.
Identify and drive process and operating rhythm improvements that deliver measurable impact, improve how teams work together, or unlock new capabilities.
Assist in preparing executive‑ready presentations, reports, and briefing materials that tell a cohesive story using both qualitative and quantitative insights.
Collaborate with the Program Management Office (PMO) and program teams, as needed, to align storytelling and updates on key initiatives, without duplicating program management responsibilities.
Support forecasting, annual planning and capital prioritization as part of LTP (long-term planning) activities
Drive finance coordination and tracking activities for the business unit (purchasing requests, routing, approvals, etc)
Support contract management, renewals, and budget tracking
Minimum Qualifications
Bachelor’s degree in Business, Communications, or a related field.
5+ years of experience in business planning, strategy, organizational communications, or operations; automotive or technology industry experience preferred.
Demonstrated experience designing and executing organizational communications and/or leading strategic initiatives for senior leaders.
Strong analytical and problem-solving skills with a data-driven and AI-first mindset; able to leverage AI effectively to translate complex information into clear insights, narratives, documents, reports, and other high-quality deliverables.
Excellent written and verbal communication, storytelling, and presentation skills; adept at simplifying complexity for broad audiences.
Proven ability to influence and collaborate with senior‑level executives and cross‑functional partners.
Proven ability to manage multiple priorities in a fast‑paced, dynamic, and often ambiguous environment.
Preferred Qualifications
Experience working in cybersecurity, engineering, IT, or data/analytics organizations.
Prior experience in a Chief of Staff, business planning, strategy, or communications‑focused role.
Experience working closely with Engineering Business Managers, Finance, or PMO in a large, matrixed organization.
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)
Estudiantes matriculados a partir del 5to semestre en :
Ingeniería en Sistemas computacionales
Licenciatura en Informatica,
Tecnologías de la Información,
Software,
Ciencia de Datos,
Inteligencia Artificial o carreras afines
INDISPENSABLE:
Disponibilidad de tiempo de las 6am-2pm de lunes a viernes
Manejo del idioma INGLES a partir de nivel INTERMEDIO-AVANZADO
Proyectos en los que podras participar
GM no proporciona soporte ni patrocinio para trámites de documentos legales con fines inmigración. Si requieres apoyo en el trámite de documentos migratorios ahora o en el futuro, abstente de aplicar a esta vacante
Si requieres algún ajuste razonable para continuar con tu proceso de selección, informa tu reclutador.
Recuerda adjuntar tu CV al momento de postularte.
No Discriminación e Igualdad de Oportunidades
General Motors es una empresa comprometida en ser un espacio de trabajo libre de discriminación que fomenta la inclusión y el sentido de pertenencia. Respetamos y valoramos lo que cada individuo ofrece a nuestro equipo, incluyendo su procedencia, educación, sexo, raza, grupo étnico, orientación sexual, expresión y/o identidad de género, contexto religioso, edad, generación, y discapacidad. Creemos que nuestra habilidad para satisfacer las necesidades y expectativas de una base de clientes cada vez más diversa y global se vincula de cerca a la diversidad e inclusión que vivimos dentro General Motors.
]]>Every day, our products move millions of people as we aim to make driving safer, smarter, and more connected, shaping the future of transportation on a global scale.
The Role
The Vehicle Dynamics Simulation Integration Engineer is responsible for supporting the move to virtual engineering by leading the integration of full-vehicle cross-functional co-simulation packages focused on vehicle dynamics and related disciplines. This position is highly technical and collaborative, involving partner teams throughout Virtual Design Development and Validation (VDDV), Vehicle Performance, Validation, Global Vehicle Hardware Engineering and Vehicle Software and Electronics Engineering. The role deals with multiple emerging technologies, and constant pursuit of innovation is key to its success.
What You'll Do
Your Skills & Abilities (Required Qualifications)
What Will Give You A Competitive Edge (Preferred Qualifications)
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):
Descripción del puesto:
El/la Ingeniero(a) de Manufactura será responsable de desarrollar, mantener y mejorar los procesos de maquinado de engranes en una planta de transmisiones, asegurando el cumplimiento de los objetivos de seguridad, calidad, entrega, costo y productividad. Trabajará en piso con Operaciones, Calidad, Mantenimiento, Herramentales e Ingeniería para resolver problemas, mantener procesos capaces y estandarizados, implementar cambios de producto/proceso y apoyar lanzamientos o mejoras de manufactura.
Responsabilidades clave:
Requisitos indispensables:
Requisitos deseables:
Habilidades y capacidades:
Indicadores de éxito del puesto:
Si requieres algún ajuste razonable para continuar con tu proceso de selección, informa tu reclutador.
Recuerda adjuntar tu CV al momento de postularte.
General Motors es una empresa comprometida en ser un espacio de trabajo libre de discriminación que fomenta la inclusión y el sentido de pertenencia. Respetamos y valoramos lo que cada individuo ofrece a nuestro equipo, incluyendo su procedencia, educación, sexo, raza, grupo étnico, orientación sexual, expresión y/o identidad de género, contexto religioso, edad, generación, y discapacidad. Creemos que nuestra habilidad para satisfacer las necesidades y expectativas de una base de clientes cada vez más diversa y global se vincula de cerca a la diversidad e inclusión que vivimos dentro General Motors.
]]>La persona seleccionada participará en proyectos enfocados en optimización de procesos, automatización, digitalización de herramientas y soporte a operaciones logísticas dentro de un entorno dinámico de manufactura.
Esta posición ofrece una excelente oportunidad para desarrollar experiencia práctica en ingeniería industrial, logística, cadena de suministro y transformación digital.
Escolaridad
Conocimientos:
Idioma
Competencias:
A senior developer is needed to design and deliver Databricks-based executive reporting and a high-quality end-user experience for data access and consumption across GM’s telematics information. This role will enable scalable, reliable, and intuitive solutions for Phyton automation. The role requires a strong root-cause analysis mindset to extract insights from data already stored in the database and use them to conduct investigations.
RESPONSIBILITIES:
Your Skills & Abilities (Required Qualifications)
Desirable
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.
]]>Vacancy Status
There is 2 positions available. one post - for an existing vacancy within the organisation and is open to new applications and also this posting is not for an existing vacancy within the organisation and is open to new applications (New Head Count)
AI Disclosure:
As part of the application process, Artificial Intelligence will be used in the hiring process for this role
The Role
Are you passionate about pushing the boundaries of electric vehicle technology? Do you thrive in a collaborative environment where innovation is the norm? If so, we have an exciting opportunity for you to join our dynamic team as a Senior Controls Developer specializing in Vehicle Motion Control (VMC).
Our team is working on advanced control methods to design and develop Vehicle Motion Control (VMC) software. VMC is a supervisory controller for torque vectoring for multi-axle electric vehicles. The objective of VMC is to distribute torque to all available axles to meet the driver’s total torque request while achieving the optimal traction and lateral motion from the vehicle dynamics perspective. In addition to electric motors, vehicle motion control can also command other actuators such as active rear steering to optimize vehicle lateral motion. We are looking for a senior controls developer that can lead the design and development of various VMC features in collaboration with the Next Generation Controls team, SSLEs, FSAs and the calibration team.
As a Senior Controls Developer for Vehicle Motion Control, you will play a pivotal role in designing and implementing advanced control algorithms to optimize torque distribution across multiple axles of electric vehicles. Your expertise will be instrumental in ensuring optimal traction, stability, and vehicle dynamics, while also maximizing energy efficiency and driver satisfaction.
What You'll Do
Lead the design and development of various VMC in collaboration with cross-functional teams.
Develop and implement control and diagnostic algorithms using advanced tools such as MATLAB or C.
Support the development of requirements and ensure compliance with safety and government regulations.
Analyze vehicle dynamic conditions and provide feedback on feature/system design.
Define software unit tests, conduct hardware-in-the-loop and vehicle tests, and ensure thorough software testing.
Support resolution of vehicle, plant, or customer issues related to controls and calibration.
Mentor new team members to foster capability growth and knowledge sharing.
Your Skills & Abilities (Required Qualifications)
Bachelor of Science degree in one of the following disciplines: Engineering, Computer Science or related fields
Knowledge of and minimum 5 years of experience in controls system development. Including:
Control system integration and testing of hardware and software.
Controller hardware design and failure modes of electronic modules.
Vehicle electrical systems and serial data communications architectures.
System, software, and hardware requirements development and validation.
Demonstrated proficiency in project management skills
Experienced at planning, preparing for and leading meetings
Effective interpersonal skills that focus and influence others, including those which may have priority differences with yours.
Understanding of Embedded Controls Development & Delivery Process
Experience in working with embedded system software codes; reading and debugging source code in C/C++ languages
Experience with MATLAB/Simulink modeling
Demonstrated ability to manage multiple complex projects and assignments with autonomy and accountability for results
Strong partnership and teamwork skills, with demonstrated ability to learn from and share knowledge with co-workers in a fast-paced environment
Highly proficient at analyzing unusual and complex issues while driving for results in an ambiguous and fast-paced environment
Evidence of strong character with integrity, honesty, accountability and trust
Consistent demonstration of innovative thinking that is customer-centric
What Will Give You A Competitive Edge (Preferred Qualifications)
Master’s degree in a field of Engineering, Computer Science or related fields
7-10 years of experience in vehicle chassis controls system development.
Scaled Agile Framework (SAFe) training or certifications.
Experience in the GM component specification and release process.
Experience with customer interface technologies.
Knowledge of vehicle dynamics and electronic chassis systems.
Knowledge of OBD-II diagnostics.
Knowledge of automotive safety integrity levels (ASIL).
DFSS Black Belt certification.
Demonstrated ability to work in a Global environment.
Experience in plant modeling and analysis tools, MIL, SIL, HIL Testing
GM DOES NOT PROVIDE IMMIGRATION-RELATED SPONSORSHIP FOR THIS ROLE. DO NOT APPLY FOR THIS ROLE IF YOU WILL NEED GM IMMIGRATION SPONSORSHIP NOW OR IN THE FUTURE.
Compensation:
The salary range for this role is $90,900 to $136,400 or $115,000 to $164,000. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position
Benefits Overview
The goal of the General Motors of Canada total rewards program is to support the health and well-being of you and your family. Our comprehensive compensation plan currently includes the following benefits, in addition to many others:
Paid time off including vacation days, holidays, and supplemental benefits for pregnancy, parental and adoption leave;
Healthcare, dental, and vision benefits;
Life insurance plans to cover you and your family;
Company and matching contributions to a Defined Contribution Pension plan to help you save for retirement;
GM Vehicle Purchase Plan for you, your family and friends.
This role is categorized as hybrid. This means the successful candidate is expected to report to Austin, TX three times per week.
We are looking for a Senior Software Engineer to join the team that is revolutionizing the automotive retail experience by building high-performance, customer-centric digital storefronts for GM's global vehicle commerce platform.
You will design and develop scalable, accessible, and reusable UI components using TypeScript , React/Next.js , and SolidJS web components , powering seamless vehicle configuration, option/packages selection, and build-and-price experiences across devices and markets. You'll work within a micro frontend architecture using a monorepo, contribute to our internal design system, and drive innovation through behavior analytics, accessibility best practices, and performance optimization.
A core focus of this role is Automation, AI Enablement, and Modernization — you will champion AI-assisted development practices, automate repetitive workflows, and continuously modernize the frontend stack to keep pace with evolving web standards and tooling.
This role requires strong technical depth in modern frontend engineering, a solid understanding of distributed and event-driven systems, and the ability to deliver high-quality, maintainable solutions at global scale. The ideal candidate is a hands-on problem solver who thrives in a collaborative, cross-functional environment and is committed to continuous learning and technical excellence.
Experience building complex, rule-driven UIs where user selections dynamically enable, disable, or constrain other options — handling dependency graphs, mutual exclusions, and package logic gracefully
Familiarity with real-time pricing engines — rendering dynamic pricing breakdowns, incentive calculations, and MSRP/invoice comparisons as users modify vehicle configurations
Strong understanding of complex state management for multi-step configuration flows — managing deeply nested state trees, undo/redo, session persistence, and shareable configuration
Ability to build guided, multi-step workflows with smooth transitions, progress tracking, and mobile-optimized step navigation
Your Skills & Abilities (Required Qualifications)
Bachelor's or Master's degree in Computer Science, Engineering, or a related field
6+ years of experience in frontend software development, with a proven track record in designing scalable component architectures
Expert-level proficiency in TypeScript , React , and Next.js with deep understanding of modern frontend patterns (hooks, server components, SSR/SSG, ISR)
Hands-on experience with SolidJS or similar reactive frameworks, ideally building web components (Custom Elements) for modular, framework-agnostic delivery
Strong command of CSS/SASS/Tailwind CSS with experience implementing responsive, brand-themed designs across multiple markets
Strong understanding of software architecture , design patterns , and modern programming paradigms including micro frontends, component-driven development, and reactive programming
Demonstrated ability to lead technical initiatives, mentor peers, and drive strategic decisions aligned with business goals
Experience working in Agile/Scrum environments with cross-functional teams (product, design, backend, DevOps)
Preferred Qualifications:
Experience designing and building reusable UI/Web component libraries and contributing to or consuming an enterprise design system
Expertise in accessibility programming (WCAG 2.x compliance) to meet regulatory standards and enhance user inclusivity across global markets
Proficiency in frontend testing and quality tooling — Vitest, Playwright, BrowserStack, or equivalent — including unit, integration, and end-to-end test automation
Experience with micro frontend architecture and modular build systems (Turborepo, Vite, Rollup) supporting independent deployable packages within a monorepo
Ability to leverage AI-assisted development tools (GitHub Copilot, Cursor, or similar) throughout the SDLC to accelerate delivery
Additional Information:
This job may be eligible for relocation benefits.
GM does not provide immigration-related sponsorship for this role. Do not apply for this role if you will need GM immigration sponsorship now or in the future. This includes direct company sponsorship, entry of GM as the immigration employer of record on a government form, and any work authorization requiring a written submission or other immigration support from the company (e.g., H1-B, OPT, STEM OPT, CPT, TN, J-1, etc.)
#LI-KB1
]]>Hybrid:
This role is categorized as hybrid. The selected candidate is expected to report to Milford, MI at least three days per week (Tuesday–Thursday).
Our Mission:
General Motors is undergoing a major transformation, both in how we operate and in how we will influence the future of transportation. As we move towards our ZERO ZERO ZERO vision for the future, we are on the forefront of this work and seeking out driven, innovative individuals who will join our team to help achieve our mission.
The Role:
We are currently looking for experienced and motivated candidates for the role of Virtualization and Software-in-the-Loop (SIL) Integration Engineer to support our Test Environment Agile Release Train (SIL ART).
This role is part of a group responsible for creating virtual in-the-loop environments to enable development, verification and validation of embedded controllers and calibrations for the following domains:
Propulsion Thermal Management System
Battery Management System
Chassis and Brake Controls
Body Electronics and Controls including vehicle access, occupant comfort, occupant protection, lighting, visibility and vehicle State
The Software-in-the-Loop (SIL) Simulation Integration Engineers (SIE) are ultimately responsible to deliver a quality simulation environment on time to meet the customers’ requirements. This position requires an individual with a passion for modeling, an adept knowledge of system simulation and integration, and demonstrated capability for managing a wide variety of technical and customer needs.
What You'll Do:
Lead the development and integration of cosimulation components to satisfy the end user test requirements.
Create virtual controller models to be used across different simulations.
Create, maintain and test virtual controller components such as HWIO, RTOS, communication models, etc.
Obtain, develop & parameterize sub-system models, such as sensors and actuators, and ECU behavioral models.
Work with development engineers to understand new feature requirements, address issues, and ensure proper implementation.
Work with System Engineers to define SIMBOMs (the required cosimulation assets) based on the test requirements.
Integrate Plant models and other ECU models into a dynamic virtual simulation.
Create and maintain detailed documents for each release.
Provide support for released simulations and assist with user testing and troubleshooting.
Provide technical support and guidance to other team members.
Ensure the cosimulation environments are delivered with quality.
Support cloud deployments.
Your Skills & Abilities (Required Qualifications):
Bachelor of Science degree in one of the following disciplines: Electrical Engineering, Computer Engineering, Computer Science or related field.
2+ years of software engineering experience.
Proficient in Embedded C, C++ and Python.
Competent with embedded controls software and the automated software build processes including gcc compiler, gdb debugger, Eclipse, Jenkins and ETAS INCA tools.
Adept experience with MATLAB and Simulink in context of plant model development and integration and basic usage of additional simulation tools (e.g. GT-Power, AMESIM, CarSim).
Proficient in automotive communication technologies such as CAN, LIN, SPI and automotive ethernet.
Familiar with FMU/FMI standards and SSP.
Familiar with AUTOSAR Layered Software Architecture.
What Can Give You A Competitive Edge ( Preferred Qualifications):
Master’s degree in a field of Engineering, Computer Science or related fields.
5+ years of embedded software development experience.
Experience in virtualization or software integration.
Experience in designing and developing vehicle body controls, propulsion thermal, battery management, chassis and brake controls software.
Benefits:
GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.
]]>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
General Motors’ Commercial API Product team is seeking a Senior Product Manager to own the strategy and execution of some of GM's externally facing vehicle APIs. These APIs enable fleet customers and partners to integrate vehicle telematics data and vehicle controls directly into their own fleet management applications — powering scalable fleet operations, more personalized experiences and a connected and intelligent ecosystem.
In this role, you will lead the product lifecycle for vehicle command APIs, vehicle telematics data retrieval APIs, and external data sharing capabilities that are mission-critical for our customers. You will partner with internal teams to identify, prioritize, develop, and externalize APIs that create value for customers by addressing their needs. You will also help expand GM's Commercial API product suite into new global markets and shape how vehicle data is securely shared with external developers and partners.
Success in this role requires strong technical judgment, the ability to navigate complex cross-functional dependencies, and the ability to translate complex vehicle capabilities and data assets into intuitive customer-facing API products. A bias for action and comfort with ambiguity are essential in this environment.
At General Motors, our product teams are redefining mobility. Through a human-centered design process, we create vehicles and experiences that are designed not just to be seen, but to be felt. We’re turning today’s impossible into tomorrow’s standard —from breakthrough hardware and battery systems to intuitive design, intelligent software, and next-generation safety and entertainment features.
Every day, our products move millions of people as we aim to make driving safer, smarter, and more connected, shaping the future of transportation on a global scale.
What You’ll Do
Your Skills & Abilities (Required Qualifications)
What Can 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 compensation may not be representative for positions located outside of the California Bay Area.
• The salary range for this role is 125,200 and 192,700. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.
• Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.
Benefits:
• Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending 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-KE2
]]>Every day, our products move millions of people as we aim to make driving safer, smarter, and more connected, shaping the future of transportation on a global scale.
The Role
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 Vehicle Order Fulfillment team owns and advances a portfolio of business-vital applications that enable plant execution every day across GM's manufacturing footprint. These applications help manufacturing teams plan what to run, optimize schedules, move material through the plant, and provide the operational data and control needed to keep production moving. In short, this team supports systems that are foundational to how GM plants execute the manufacturing process and deliver vehicles at scale.
We're looking for a Sr. Software Engineer who brings broad technical depth, strategic thinking, and a passion for building high-quality, resilient software. In this role, you will help lead the design and delivery of enterprise-scale Java and React solutions, modernize critical manufacturing applications, and guide a talented team of developers in building scalable platforms that directly support plant operations and business outcomes. Join us on this exciting journey to shape the future of technology in Manufacturing. If you are a visionary leader with a passion for innovation, a history of exceptional accomplishments, and the ability to inspire and drive results, we want you on our team. Don't miss this opportunity to make a profound impact on our business and industry by helping power the systems that keep GM manufacturing running.
Strategic Technical Leadership
Java/React & Engineering Excellence
Modern Technology Stack
Team Development & Collaboration
Influence & Culture
Education
Experience:
People Skills:
The automotive wireless space is evolving rapidly, driven by increasing demands for advanced connectivity technologies including 5G MIMO, Wi-Fi 7, GNSS, V2X, BLE, UWB, NTN, and traditional broadcast systems. Delivering world-class wireless performance requires balancing vehicle styling, aerodynamics, cost, manufacturability, and RF performance while supporting aggressive vehicle development timelines.
We are seeking an experienced technical leader to build and lead a team focused on solving complex antenna and RF front-end challenges. This is a hands-on leadership role requiring both people leadership and deep technical expertise. The successful candidate will provide technical direction, guide engineering decisions, support product development, and remain actively involved in antenna and RF design, simulation, validation, and problem-solving activities when needed.
Reporting to the Senior Manager, Antennas, this individual will help define technical strategy, navigate complex and undefined problem spaces, and drive data-based decisions that enable successful product 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.
• 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.
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]]>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.
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]]>At General Motors Bowling Green Assembly, home of the iconic Chevrolet Corvette, we don’t just build cars — we craft American legends. Located in the heart of Kentucky, our facility is where precision engineering meets cutting-edge innovation, and where passionate individuals come together to shape the future of performance vehicles.
We are seeking a driven and detail-oriented Quality Engineer to join our world-class team. This is your opportunity to contribute to the legacy of one of the most celebrated sports cars in automotive history while working in a dynamic, collaborative environment that values continuous improvement, technical excellence, and a commitment to quality.
The Role :
The Bowling Green Quality Engineering Team is looking for a talented and self-driven individual to fill the role of Quality Engineer. Here, every day work is performed in a team dynamic embedded in a plant environment, where a considerable amount of creativity and initiative is exercised as well as a high level of independent judgement. The Quality Engineer will apply their expertise in focused areas which may include Chassis, Body, Exterior, Interior, Dimensional, and/or Propulsion, with the opportunity for specialization. This role will directly contribute to maintaining and improving customer satisfaction.
What You’ll Do:
Independent Judgement
Respond to daily project requests and prioritize work
Manage complex and ambiguous tasks with minimal input from supervisor
Manage emerging issues on owned commodities
Develop quality standards and procedures
Review nonconforming parts and sub-assemblies for proper initial disposition and root cause
Analyze data to make educated decisions
Successfully manage multiple projects with moderate scope and varying degrees of difficulty
Critical Thinking
Perform root-cause analysis and develop and implement corrective action plans
Apply Red X Problem Solving Methodology and other applicable tools
Present to Site Leaders with clear problem definition, technical guidance on complex problems, and regular updates on progress
Fix supplier quality and engineering issues impacting Global Customer Audit (GCA), Direct Run Rate (DRR), Warranty, and Compass
Collaboration
Work with production floor, product engineering, supplier-quality engineering, and/or manufacturing engineering to resolve issues
Assist production in preventing defects and recommend process improvements
Collaborate with suppliers to address SPPS’s (Supplier Practical Problem Solving) issued and ensure robust corrective action
Support Launch of new products in the plant when applicable.
Support off-shift(s) and weekend production as required
Share Lessons Learned with Engineering to prevent repeat design or build issues
Coordinate periodic system and process audits at the plant and supplier facilities
Coordinate engineering change implementation and assist in running PTR’s (Production Trial Runs)
Support execution of all GMS (Global Manufacturing System) requirements
Visit supplier sites to ensure they are up to our standards or are putting in robust issue countermeasures
Your Skills & Abilities (Required Qualifications):
Bachelor’s Degree (preferred in Engineering or related technical field)
2+ years of experience in automotive engineering, quality, manufacturing or related
Ability to Read drawings, understand GD&T, and work with 3D Visualization Software
Understanding of Statistical Process Control (SPC) or Statistical Data Analysis
Strong critical thinking, independent judgement, and interpersonal skills
Effective communicator with solid oral and written presentation skills
Must be flexible to occasionally rotate from 1st to 2nd shift
What Will Give You A Competitive Edge (Preferred Qualifications):
Familiarity with Plant Quality systems/applications including GSIP and GEPICS
Familiarity with Engineering & Supplier Quality systems/applications including ECM, PRTS, SPPS, GQTS, TeamCenter and MPD’s
Familiarity with Engineering Change Management including ECR’s, TCR’s and parts release processes
Knowledge of PPQP, APQP and PPAP requirements
Supplier audit experience
Red X Journeyman Certification and/or DFSS Green Belt Certification
Previous experience as a Quality Engineer, Supplier Quality Engineer, Process Engineer, Design Engineer and/or Reliability Engineer
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.
]]>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.)
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]]>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
The Additive Industrialization Center (AIC) is responsible for advancing additive manufacturing technologies and scaling their application across General Motors. As a Manufacturing Process Engineer – Additive Manufacturing, you will own the performance, continuous improvement, and industrialization of polymer and metal additive manufacturing processes and equipment.
This is a highly hands-on engineering role focused on optimizing equipment performance, improving process capability, reducing waste, and enabling future manufacturing technologies. You will work closely with product engineering, design, quality, operations, suppliers, and technology partners to support current production needs while helping shape GM's additive manufacturing strategy.
This Role Is Ideal For
Engineers with experience in additive manufacturing, advanced manufacturing, process engineering, or materials engineering who enjoy working directly with equipment, solving complex production challenges, and helping bring emerging manufacturing technologies into production environments. You'll thrive in this role if you enjoy balancing hands-on manufacturing execution with long-term technology development and process improvement.
What You'll Do
Your Skills & Abilities (Required Qualifications)
What Will Give You a Competitive Edge (Preferred Qualifications)
O que você irá fazer (responsabilidades)
• Pesquisar defeitos em equipamentos e painéis elétricos e em instalações
• Ler e interpretar esquemas elétricos
• Experiência em ISO9001 e conhecimento de ISO17025
• Domínio no pacote Microsoft Office, principalmente em planilhas eletrônicas, tal como Microsoft Excel.
• Experiência com atividades e serviços de manutenção preventiva e corretiva
• Compras e Controle de Materiais
• Controle de Budget
• Realizar Contratações de Serviços Esporádicos ou Contratos de Manutenção
• Acompanhar Fornecedores na Manutenção de equipamentos
• Fazer contato com Fornecedores de peças e Serviços
• Domínio no sistema MAXIMO
• Conhecimento em SAP
• Fazer gestão de contratos
Suas Competências e Habilidades (Qualificações Necessárias)
• Mandatório Formação em Elétrica pelo SENAI ou equivalente, Técnico eletricista ou Eletroeletrônico, Mecatrônica
• Conhecimentos Básico de Mecânica, Pneumática e Refrigeração
• Conhecimento em SAP
O que pode lhe dar uma vantagem competitiva (Qualificações de preferência)
• Ter CNH Válida e dirigir
• Requerido nível mínimo de inglês intermediário (para leitura de manuais e outras interpretações técnicas)
• Disponibilidade para trabalhar em Indaiatuba de forma Presencial
#LI-PR
]]>At General Motors, we empower Product Managers to solve challenging customer and business problems. We seek passionate and innovative team members who can collaborate effectively within product management, program management, design, and engineering teams to discover and deliver impactful solutions. We hold our teams accountable for results and seek leaders who can influence teammates, stakeholders, and executives using data and logic.
As a Senior Product Manager, you will help define and deliver the developer platforms and workflows that support complex data review and event auditing from autonomous vehicle logs. Incorporating AI-driven diagnostics and triage capabilities, these web-based applications display multi-modal sensor data, empowering engineering, safety, performance, and operations teams to analyze system behavior, investigate issues, and help optimize AV performance at scale. This role will focus on turning user needs into clear product requirements, prioritizing roadmap work, and partnering closely with engineering, design, data science, and program teams to build fast, powerful, and reliable tools for the GM AV program.
Success requires curiosity about AV systems, empathy for internal users, strong analytical thinking, and the ability to work through ambiguous technical problems with cross-functional partners. You should be comfortable learning complex workflows, using data to make prioritization decisions, and translating developer and reviewer pain points into practical product improvements.
What You’ll Do
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 compensation may not be representative for positions located outside of the California Bay Area.
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]]>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.
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The Role
GM Supplier Quality Engineers prioritize safety in everything we do, while maintaining an inclusive work environment, to protect our customers in support of the GM vision of Zero Crashes, Zero Emissions, and Zero Congestion. A GM Supplier Quality Engineer is primarily responsible to execute the Advanced Product Quality Planning process with their assigned suppliers. They adopt a flexible workplace approach to achieve results within defined metrics and expectations and lead their suppliers in strategic improvements. Traveling to supplier and GM facilities is necessary to ensure robust quality plans are in place and executed. Trips will vary in frequency, duration, and location based on assignments.
What You'll Do
As a GM Supplier Quality Engineer (SQE), your core responsibility is the execution of the Advanced Product Quality Planning (APQP) process. This typically includes review of program progress to milestones and identifying/mitigating risks to GM and our customers. You will also assure supplier understanding of, and compliance to, APQP processes such as Production Part Approval Process (PPAP), Quality plans (Control Plans, FMEA), and Run at Rate verification.
Taking a proactive approach is critical to your success as a GM SQE. Reviewing manufacturing processes and quality systems to identify risks and prevent issues protects GM and our customers. We work to build our suppliers’ performance through technical support, continuous improvement activities, and assistance in identifying opportunities during launch, ongoing production, and implementation of changes. You will develop, maintain, and ensure adherence to GM standards while verifying their suppliers’ quality and manufacturing processes identify, and protect our customers, when those requirements are not met.
Your ability to quickly collaborate with the cross-functional teams to facilitate, or lead, root cause analysis and corrective actions determination when issues arise are pivotal for this role. Great SQEs look to tackle problems quickly. You will also verify on-site implementation of their supplier’s corrective actions and the appropriate read-across of the learnings.
Your Skills & Abilities ( Required Qualifications)
What Will Give You a Competitive Edge (Preferred Qualifications)
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)
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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)
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.
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]]>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.
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]]>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.
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]]>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
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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
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:
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]]>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):
Onsite -This role is categorized as onsite. This means the successful candidate is expected to report to Kansas City, Kansas, 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):
Autonomous Robotics Center (ARC) – Product Development
Role Overview
The Autonomy Stack Program Engineering Manager is accountable for delivering electrical content for ARC product programs from concept through launch, ensuring technical execution, schedule integrity, and cross‑functional alignment. This role leads the core engineering execution engine—turning product intent into released, buildable, and producible designs.
The role requires a broad skill set as we build the organization with a focus on working closely with the Kokomo plant, Software team, Validation team, Development team, and deployment organization. It requires creative solutions and processes that are different from typical GM programs. Responsible for evaluation of designs, analysis, development, validation, and implementation. Lead the resolution of design, build and test issues. Requires review and approval of all engineering changes. Additionally requires being a visible leader to keep the team focused on what makes us better, faster, and more profitable.
This leader ensures programs are executed with discipline, clarity, and technical excellence while navigating complex dependencies across teams, suppliers, and stakeholders.
What You Own
You are accountable for end-to-end program execution for electrical content
Electrical Execution
Leadership & Operating Expectations
What Success Looks Like
Ideal Background
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:
We are seeking a Staff Systems Engineer specializing in Low Voltage (LV) Batteries to join our team at General Motors Holdings LLC. This role will be crucial in ensuring the regulatory compliance, reliability, and overall system engineering integrity of our LV battery systems.
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.
]]>Autonomous Robotics Center (ARC) – Product Development
Role Overview
The Robotics Hardware Program Engineering Manager is accountable for delivering mechanical content for ARC product programs from concept through launch, ensuring technical execution, schedule integrity, and cross‑functional alignment. This role leads the core engineering execution engine—turning product intent into released, buildable, and producible designs.
The role requires a broad skill set as we build the organization with a focus on working closely with the Kokomo plant, Software team, Validation team, Development team, and deployment organization. It requires creative solutions and processes that are different from typical GM programs. Responsible for evaluation of designs, analysis, development, validation, and implementation. Lead the resolution of design, build and test issues. Review and approve all engineering changes.
Additionally requires being a visible leader to keep the team focused on what makes us better, faster, and more profitable.
This leader ensures programs are executed with discipline, clarity, and technical excellence while navigating complex dependencies across teams, suppliers, and stakeholders.
What You Own
You are accountable for end-to-end program execution for electrical content
1. Mechanical Execution
Leadership & Operating Expectations
What Success Looks Like
Ideal Background
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 New Model Launch Manager is responsible for leading end-to-end supply chain readiness and execution for new vehicle model launches across the CCA network. This role coordinates cross-functional teams and external partners to ensure parts, systems, processes, capacity, and operating plans are prepared to support a successful launch from program development through steady-state operations.
Working closely with GM Supplier Management, Engineering, Purchasing, Manufacturing, Operations, Logistics, Aftersales, and other key stakeholders, the New Model Launch Manager establishes launch plans, identifies and mitigates supply chain risks, and drives timely resolution of issues that could affect launch timing, service levels, cost, or customer experience. The role supports launch activity across approximately 25 locations and ensures the network is positioned to transition effectively from launch execution into stable operations.
What You’ll Do
Your Skills & Abilities (Required Qualifications)
What Can Give You a Competitive Advantage (Preferred Qualifications)
Key Responsibilities:
Required Qualifications:
In case you need any reasonable adjustment to continue with your process, let your recruiter know.
Remember to attach your CV when applying to this vacancy.
General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We respect and value what each individual contribution to our team, including their origin, education, sex, race, ethnic group, sexual orientation, gender expression and / or identity, religious context, age, generation, and disability. We believe that our ability to meet the needs and expectations of an increasingly diverse and global customer base is closely linked to the diversity and inclusion that we experience within General Motors.
We are seeking a highly skilled and motivated Staff Systems Engineer-Automotive Network Communications to lead the definition, assessment, and continuous improvement of in‑vehicle network performance across multiple vehicle product spaces. This role is critical in establishing and managing the Network Performance Budget, Forecast, and Load Assessment for GM’s electrical architecture, ensuring that current and future feature content can be delivered reliably and at scale across Ethernet, CAN, LIN, UART, and other in‑vehicle networks.
The ideal candidate will bring deep expertise in automotive network architectures and performance analysis, strong systems thinking, and a collaborative mindset to drive data‑driven decisions and architectural trade‑offs. This role partners closely with Electrical Architecture PSEs, ECU software and hardware teams, and product/program leadership to ensure that network capacity and performance are designed, measured, and governed as a first‑class architectural concern.
What You'll Do (Responsibilities):
Network Performance Budget & Forecast
Network Load Assessment & Analysis
Network Performance Dashboarding
Design Reviews & Governance
Collaboration with Software, Hardware, and Microcontroller Stakeholders
Tools, Methods, and Continuous Improvement
Your Skills & Abilities (Required Qualifications):
Technical Expertise
Tools & Methodologies
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: $160,200 - $290,700. Actual base compensation within the identified range will vary based on factors relevant to the position.
Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.
Benefits : GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.
Company Vehicle : Upon successful completion of a motor vehicle report review, you will be eligible to participate in a company vehicle evaluation program, through which you will be assigned a General Motors vehicle to drive and evaluate.
Note: program participants are required to purchase/lease a qualifying GM vehicle every four years unless one of a limited number of exceptions applies.
#LI-DH2
]]>General Motors 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.
]]>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.
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In this role you’ll lead strategy and advanced technology development for power inverters and power electronics (PE) system design & integration to meet GM’s future Electric Vehicle (EV) portfolio needs.
Role & Responsibilities:
Qualifications:
Preferred Qualifications:
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)
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
]]>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.
#LI-JK3
]]>Staff Product Manager – AV Features
Why join us?
General Motors pioneers the innovations that move and connect people to what matters. We see a world with zero crashes, zero emissions, and zero congestion.
Advanced driver assistance and autonomous driving systems are transforming the vehicle experience. Within GM’s Autonomous Vehicle (AV) Product Management organization, we define and deliver products that connect customer value, technical innovation, safety, quality, and business impact across GM’s vehicle portfolio.
Super Cruise is GM’s foundational hands-free driving technology. GM is continuing to advance this experience by developing compelling, scalable capabilities for a broader set of customers and vehicle programs.
The Role
We are looking for a Staff Product Manager to own the end-to-end vision, strategy, and roadmap for customer-facing AV features across vehicle programs, technology generations, operating domains, and markets. You will define what to build and why it matters to customers and GM, then translate customer needs, safety expectations, technical constraints, quality data, and business objectives into clear product priorities and requirements.
You will work closely with Product Capability, Systems Engineering, Autonomy Engineering, UX/HMI, Safety, Quality, Program Management, Marketing, and vehicle teams to deliver intuitive, trustworthy, and scalable customer experiences. Success requires strong product ownership, systems thinking, technical judgment, and the ability to influence across complex organizations from concept through launch and in-market improvement.
What You’ll Do
Own the product vision, strategy, and roadmap for AV features across vehicle programs, balancing customer value, safety, technical feasibility, cost, quality, timing, and business objectives.
Translate customer insights, competitive intelligence, field feedback, telemetry, quality data, and business objectives into product requirements documents (PRDs), capability definitions, and roadmap priorities.
Partner with Product Capability, Systems Engineering, Autonomy Engineering, UX/HMI, Safety, Quality, and vehicle teams to define customer-facing experiences that are intuitive, understandable, and trustworthy.
Lead cross-functional planning and execution for feature launches, software releases, and in-market iterations, including rollout strategy, configuration, validation, and change management.
Define and monitor success metrics such as customer adoption, engagement, utilization, trust, quality, safety performance, and business outcomes; use research, experimentation, simulator and track studies, fleet data, and in-market insights to guide decisions.
Identify cross-product dependencies, critical risks, and opportunities, and drive mitigation, simplification, or course correction.
Serve as the voice of the customer and communicate product strategy, priorities, decisions, risks, and progress through clear, concise, data-informed narratives to working teams and senior leaders.
Your Skills & Abilities (Required Qualifications)
5+ years of product management or closely related experience, with demonstrated ownership of complex technology products or cross-functional initiatives from concept through launch and ongoing improvement.
Demonstrated experience defining product vision and strategy, building multi-year roadmaps, and translating strategy into clear requirements and measurable outcomes.
Deep understanding of advanced driver-assistance and automated-driving systems, or equivalent experience with complex hardware-software systems, including how system capabilities and dependencies combine to deliver a safe customer experience.
Ability to reason about vehicle, compute, sensing, software, HMI, and operational constraints and translate them into pragmatic product decisions.
Proven ability to lead cross-functional teams and influence stakeholders across engineering, systems, design, safety, quality, program management, marketing, and business functions.
Strong analytical skills, including the ability to derive actionable insights from customer research, simulator and track studies, fleet or telemetry data, qualitydata, and business analysis.
Exceptional written and verbal communication skills, sound judgment, and the ability to make principled decisions when information is incomplete or priorities conflict.
What Will Give You a Competitive Edge (Preferred Qualifications)
Direct experience shipping customer-facing advanced driver-assistance or automated-driving features in production vehicles, or comparable safety-critical products.
Experience with software-enabled vehicle products, over-the-air delivery, feature gating, staged rollouts, or fleet-scale product iteration.
Strong understanding of human cognitive load, situational awareness, driver trust, and human-machine interaction in automated-driving or hands-free experiences.
Experience leading products that integrate vehicle hardware, sensors, compute, HMI, embedded software, and companion or cloud services, with familiarity in safety-case development, validation, launch readiness, or regulatory requirements.
Experience evaluating product cost, hardware simplification, software reuse, platform scalability, system complexity, business cases, or go-to-market strategies.
Master’s or doctoral degree in engineering, business, or a related field.
Hybrid: This hybrid role requires the successful candidate to work at a GM location at least three days per week. Locations include Warren or Milford, MI, or Sunnyvale or Mountain View, CA.
Compensation: The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of the California Bay Area.
The salary range for this role is $134,700 to $245,00. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.
Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.
Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.
Company Vehicle: Upon successful completion of a motor vehicle report review, you will be eligible to participate in a company vehicle evaluation program, through which you will be assigned a General Motors vehicle to drive and evaluate. Note: program participants are required to purchase/lease a qualifying GM vehicle every four years unless one of a limited number of exceptions applies.
#LI-RF1
#GM-AV-1
GM Level: 6A
Proposed job-family alignment: Test and Validation Engineering
Primary work location: GM Milford Proving Ground, Milford, Michigan
Travel: Approximately 10% as needed for training, team alignment, vehicle support, or other GM testing activities
Career track: Individual contributor
General Motors is developing advanced driving-assistance and autonomous-vehicle capabilities that require safe, repeatable, and scalable validation. The Autonomous Vehicle Test Engineer will plan, execute, and report autonomous-vehicle testing at GM’s Milford Proving Ground in partnership with AV Test Engineering, Vehicle Integration, software and systems engineering, AV Operations, Fleet Reliability Engineering, and other cross-functional teams.
This role will translate engineering objectives and approved test requests into clear, executable test plans and procedures. The engineer will conduct closed-course regression, feature, behavior, calibration, system-validation, and structured data-collection testing; evaluate vehicle and autonomy-system behavior; troubleshoot software and hardware issues; and deliver complete, actionable evidence to engineering customers.
The role combines test planning, hands-on vehicle and test execution, technical triage, data analysis, and process improvement. The successful candidate will be comfortable working in a fast-changing environment, taking ownership of ambiguous problems, collaborating across software and hardware domains, and maintaining a high bar for safety, test quality, and technical rigor.
Translate product, software, systems, and program objectives into practical test plans, test cases, procedures, schedules, and resource requirements.
Plan and execute repeatable software regression, feature and behavior validation, structured scenario, calibration-support, fault-response, and targeted data-collection tests.
Conduct closed-course vehicle testing at Milford Proving Ground, including vehicle preparation, test setup, scenario execution, observation, intervention or takeover when required, and post-run closeout.
Coordinate test requests, priorities, vehicle assignments, track reservations, operating windows, personnel, equipment, and readiness reviews with AV Test Engineering and cross-functional stakeholders.
Follow approved test procedures and acceptance criteria while using sound engineering judgment when test conditions, vehicle state, system behavior, or data quality differs from expectations.
Make timely recommendations to proceed, modify, repeat, block, or stop testing based on safety, vehicle condition, system behavior, track conditions, weather, data quality, or test intent.
Support test execution across development and release milestones, including build checkout, regression campaigns, feature validation, system integration, and structured validation activities.
Support approved vehicle testing on public roads or other test environments when required by the program, applicable procedures, and GM driver-training and safety requirements.
Monitor vehicle and autonomy-system health before, during, and after testing, identifying conditions that could affect safety, data quality, or test availability.
Triage issues involving the AV software stack, vehicle compute, sensors, localization, calibration, connectivity, data recording, host-vehicle systems, vehicle networks, power, and test infrastructure.
Use system status, logs, drive data, diagnostic tools, measurements, operator observations, and repeatable experiments to isolate likely causes and determine the appropriate next action.
Reproduce issues when safe and practical, capture accurate timelines and evidence, and create actionable issue reports for software, systems, Vehicle Integration, Fleet Reliability Engineering, Troubleforce, Service Operations, or other support teams.
Distinguish between issues that can be safely contained or corrected during test execution and issues requiring vehicle removal from service, engineering review, formal change control, or additional safety assessment.
Partner with developers and systems engineers to clarify expected behavior, reproduce failures, evaluate fixes, and verify corrective actions through targeted retesting.
Support controlled fault-injection and non-nominal testing when requested, ensuring that test intent, expected system response, safety controls, and data-labeling requirements are understood before execution.
Execute test procedures consistently and capture complete run information, including vehicle, software, calibration, map, track, scenario, operator, weather, and timing details.
Evaluate AV behavior and system response against defined test objectives and acceptance criteria, distinguishing objective evidence from anecdotal observations.
Report pass, fail, blocked, incomplete, and inconclusive outcomes with enough context for engineering teams to act without repeating avoidable setup work.
Ensure drive links, logs, data media, notes, screenshots, issue references, and other required evidence are transferred or uploaded through approved workflows.
Review test data for completeness, corruption, missing signals, unexpected configuration changes, or other conditions that could limit its usefulness.
Publish concise test summaries, technical findings, and status updates to the appropriate engineering and operations forums.
Maintain traceability for test requests, procedures, results, issues, and retests in tools such as Jira, Confluence, Xray, Slack, and approved data or fleet-management systems.
Provide timely feedback to remote software, systems, simulation, safety, and program teams so that test results support release decisions, feature refinement, and issue prioritization.
Prepare assigned test vehicles and equipment for daily execution, including configuration checks, software and calibration state, physical condition, instrumentation, data-recording readiness, and required test assets.
Perform or coordinate pre-drive readiness checks, post-drive inspections, sensor and camera cleanliness checks, data-media handling, charging or fueling coordination, and other activities required to maintain test availability.
Support approved software or branch deployments, calibration updates, route or map selection, logging configuration, test tools, and other test-preparation activities.
Maintain accurate records of vehicle status, mileage or test hours, configuration, test history, open issues, and return-to-service decisions.
Identify vehicle downtime risks early and coordinate containment, recovery, maintenance, parts, facility resources, and technical assistance with the appropriate partner teams.
Help maintain reliable test infrastructure, track resources, measurement equipment, data workflows, and other assets needed for repeatable execution.
Contribute to readiness reviews and daily operating rhythms that align vehicle and facility availability with testing demand.
Work closely with AV Test Engineering leads, Vehicle Integration, software engineering, systems engineering, AV Operations, Fleet Reliability Engineering, Service Operations, Safety, Mapping, Simulation, and program teams.
Clarify test objectives, assumptions, expected system behavior, inputs, outputs, dependencies, and acceptance criteria before execution.
Coordinate with operations personnel and technicians to ensure vehicles, track activities, equipment, and supporting tasks are prepared and executed safely.
Provide clear technical direction during test execution when coordinating operators, technicians, contractors, or other support personnel, without formal people-management responsibility.
Communicate blockers, risks, schedule impacts, vehicle constraints, and issue status early enough for teams to make informed decisions.
Participate in technical reviews, release-readiness discussions, issue reviews, retrospectives, and other forums that improve test effectiveness and system quality.
Build trusted working relationships across disciplines by being responsive, precise, fact-based, and accountable for follow-through.
Identify opportunities to increase usable testing hours, improve coverage, reduce avoidable setup and reset time, and improve the quality and timeliness of test results.
Develop and maintain clear checklists, test templates, troubleshooting guides, readiness gates, standard work, and other documentation that improves repeatability.
Improve test intake, prioritization, planning, execution, reporting, issue follow-up, and data-management workflows.
Use metrics and evidence such as vehicle availability, test hours, completed runs, blocked runs, downtime, repeat failures, data-upload timeliness, issue aging, and request cycle time to identify improvement opportunities.
Support appropriate automation, tooling, and data-analysis improvements that reduce manual effort and increase test consistency.
Capture lessons learned from test campaigns and convert them into improved test plans, procedures, asset requirements, and recommendations.
Help onboard and share knowledge with other engineers, technicians, operators, and cross-functional partners.
Follow all GM, Milford Proving Ground, AV Operations, AV Test Engineering, and applicable safety procedures and work controls.
Verify that required personnel, training, vehicle qualifications, test equipment, track conditions, emergency support, communications, and approved procedures are in place before testing begins.
Stop work and escalate when vehicle condition, system behavior, weather, track conditions, personnel readiness, facility conditions, or test setup creates unacceptable risk.
Maintain disciplined adherence to approved operating limits, test procedures, takeover requirements, driver guidance, and change-control expectations.
Support incident, near-miss, and abnormal-event documentation with accurate facts, timelines, evidence, and follow-up actions.
Treat safety, data integrity, and test traceability as non-negotiable requirements for every test activity.
Bachelor’s degree in mechanical, electrical, automotive, systems, computer, robotics, aerospace engineering, computer science, or a related technical discipline.
At least 3 years of relevant experience in autonomous vehicles, automotive engineering, robotics, aerospace, vehicle testing, systems integration, test engineering, or a related technical operations environment.
Experience planning and executing vehicle, robotics, or other complex electro-mechanical system tests in a laboratory, proving-ground, field, or comparable operational environment.
Experience troubleshooting software-enabled hardware systems using diagnostic information, logs, measurements, observations, and structured problem-solving methods.
Ability to read and apply test procedures, requirements, acceptance criteria, operating instructions, and safety controls.
Demonstrated ability to take ownership, establish priorities, work independently, and drive ambiguous technical problems toward resolution.
Ability to collaborate effectively with software, hardware, systems, operations, reliability, safety, and program teams.
Strong written and verbal communication skills, including concise technical reporting, issue escalation, and cross-functional coordination.
Ability to work onsite in a proving-ground environment with exposure to heat, cold, dust, wind, sun, noise, vehicle traffic, and changing work conditions.
Ability to perform hands-on vehicle readiness and troubleshooting activities, including inspecting vehicles, connecting or handling test equipment and data media, and moving through vehicle and track environments as required.
Ability to work onsite at GM Milford Proving Ground in Milford, Michigan, and travel approximately 10% as needed.
Valid driver’s license and ability to meet applicable GM driver-training, vehicle-qualification, site-access, and safety requirements for vehicle testing.
Direct experience testing autonomous vehicles, advanced driver-assistance systems, mobile robots, or other safety-critical autonomous systems.
Experience with closed-course test execution, proving-ground operations, scripted scenario testing, release regression, feature validation, calibration support, or structured data collection.
Experience with total-vehicle integration, vehicle systems testing, or end-to-end validation of software-enabled vehicle features.
Working knowledge of software-defined vehicle concepts, SDV 2.0 architecture, vehicle compute, electronic control units, over-the-air or branch-based software deployment, vehicle configuration, and software or hardware change management.
Experience with automotive diagnostics, CAN or Ethernet-based vehicle networks, sensors, localization, calibration, time synchronization, data recording, connectivity, or AV system-health monitoring.
Familiarity with AV and vehicle tools such as Xray, INCA, Vehicle Spy, DPS, Cursor, Git, GitHub, Buildkite, Grafana, Notelogger, SC3 Debug App, Jumpstart, Launchpad, Starfleet, HAT, Drives, Webviz, Netradyne, Looker, or comparable tools.
Experience using Linux, command-line tools, Python, SQL, spreadsheets, or other methods to inspect logs, automate repetitive analysis, or improve test and fleet reporting.
Experience with test-management, issue-tracking, configuration-management, or release tools such as Jira, Confluence, Jenkins, Artifactory, or comparable platforms.
Familiarity with software development life-cycle practices, integration workflows, requirements traceability, and release-readiness processes.
Experience working with AV, automotive, robotics, or other complex systems in a fast-paced development environment.
Experience supporting or mentoring technicians, operators, junior engineers, contractors, or other test-support personnel.
Compensation: The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of New York, Colorado, California, or Washington.
Benefits:
Relocation: This job may be eligible for relocation benefits.
Hybrid: This role is based hybrid from Warren, MI. You are expected to report to that location three times a week, at minimum.
]]>Every day, our products move millions of people as we aim to make driving safer, smarter, and more connected, shaping the future of transportation on a global scale.
Are you passionate about accelerating the future of autonomous driving? Join the Embodied AI Infra Foundation team at General Motors, where we build the critical infrastructure that powers every machine learning engineer working on our cutting-edge Autonomous Driving models. From foundational models to state-of-the-art optimization, our work is at the heart of our mission.
About the team:
Our goal is simple: dramatically accelerate the machine learning development cycle, freeing our engineers to focus entirely on enhancing the safety and performance of the car, rather than managing infrastructure. We are committed to delivering products that are performant, easy to use, and exceptionally reliable. Your success will be measured by the success of our partner teams who rely on our robust systems to build the world's most advanced driverless vehicles.
As a Senior ML Infra Engineer, you will build critical infrastructure that powers every machine learning engineer working on our cutting-edge Autonomous Driving models. From foundational models to state-of-the-art optimization, our goal is simple: dramatically accelerate the machine learning development cycle. We are committed to delivering products that are performant, easy to use, and exceptionally reliable. Your success will be measured by the success of our partner teams who rely on our robust systems to build the world's most advanced driverless vehicles.
What you'll do:
Lead the design, implementation, and deployment of scalable platforms and tools that drive machine learning model training and evaluation workflows across GM.
Own complex technical projects end-to-end, making key architectural decisions and technical trade-offs. You will be a core contributor to team planning, design reviews, and code quality.
Take a holistic view of projects, considering their impact across multiple teams, and proactively drive technical prioritization. Collaborate closely with partner teams to ensure maximum benefit from the systems we build.
Help shape our team through technical interviewing with high, well-calibrated standards, and play an essential role in recruiting. Mentor and onboard junior engineers and interns, helping them grow their careers.
Your Skills & Abilities (Required Qualifications)
3+ years of experience building large-scale distributed systems/applications or advanced ML Applications.
Proven track record of building robust frameworks with high-quality, long-lasting APIs.
Deep understanding and practical experience with machine learning algorithms.
Expertise in building reliable, highly performant, and cost-efficient systems leveraging modern cloud infrastructure.
Hands-on experience with the entire ML development lifecycle and MLOps practices.
Demonstrated ability to collaborate effectively across multiple teams and organizations.
Proficiency working with containerization and orchestration technologies (Docker, Kubernetes).
A strong passion for self-driving technology and its transformative potential.
Exceptional coding skills in Python or C++.
BS, MS, or PhD in Computer Science, Math, or equivalent practical experience.
Exceptional candidates may also have:
Experience with distributed training methodologies.
A background in optimizing model training performance.
Experience scaling model training across large clusters of GPUs/CPUs or other accelerators.
Familiarity with deep learning frameworks such as PyTorch, TensorFlow, etc.
A strong grasp of performance profiling and state-of-the-art training optimization algorithms, including their performance characteristics and effect on model convergence.
Experience with advanced build systems (Bazel, Buck, Blaze, or Cmake).
3+ years of professional experience
Remote/Hybrid: This role is based remotely but if you live within a 50-mile radius of an office, you are expected to report to that location three times a week, at minimum.
Compensation : The compensation information 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 $128,700.oo 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.
Relocation: This job may be eligible for relocation benefits.
#GM-AV-1
#LI-CX1
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.
#LI-SA2
]]>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
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.
The Role
At GM, our Vehicle Commerce team builds enterprise -grade platforms that power vehicle inventory, configuration, pricing, and sales systems. Our software delivers accurate, high-quality data and imagery to create seamless digital experiences across all GM brand sites.
We’re looking for a Staff Software Engineer with strong technical chops and architectural vision to lead the development of scalable, high-performance backend APIs and services. This role blends hands-on coding with cross-functional technical leadership across data pipelines, microservices , and distributed systems.
You’ll collaborate closely with product, QA, DevOps, and business teams to build innovative, cost-effective solutions that align with GM’s broader platform strategy.
What You’ll Do:
Your Skills & Abilities (Required Qualifications):
This job may be eligible for relocation benefits.
#LI-KB1
]]>At GM, our culture is to lead as one team where we collaborate cross functionally to achieve enterprise-wide results. This program will give you the opportunity to work with a diverse group of teams to accomplish our larger goals. In this role you will support and coordinate with multiple facets of the General Motors global portfolio by crafting and implementing timely business solutions. As a member of our team, you will play a key role in solving meaningful and important issues facing our company!
What You’ll Do:
You will collaborate with GM’s globally diverse organizations to assemble data, perform analyses, and present your recommendations to senior GM executives at the end of your internship. In addition to your core work you will have unique networking opportunities with peers, leaders and senior finance executives which will facilitate your visibility and growth within GM. You will also participate in several key activities focused around the “Design/Build/Sell and Services” operations of the company, as well as a case competition, assembly plant tour, and overviews of key areas of finance.
Finance - Accounting roles may include the following:
Controllership roles. specifically in our Corporate or Automative functions, provide candidates with the work experience necessary towards obtaining a CPA license and may include consolidating and reporting company results, analyzing transactions for appropriate accounting treatment, and serving as a strategic business partner to increase transparency, improve efficiency, shorten decision cycle times, and reinforce financial integrity and accountability.
Required Qualifications
Pursuit of a Bachelor’s degree in one of the following areas: Business, Finance, Accounting, Economics or related fields
Must be graduating with a Bachelor’s or Master's degree between October 2027 and June 2028; if pursuing a CPA license, will complete degree + required course work between October 2027 and June 2028
Able to work full time, 40 hours per week during the summer months
What Will Give You A Competitive Edge (Preferred Qualifications)
Demonstrates leadership in field of study, extra-curricular activities, or service organizations
High level of integrity, ability to deal with ambiguity and ability to initiative/self-directed
Evidence of strong character with honesty, accountability, and trust
Ability to prioritize, multi-task, and meet goals in a fast-paced environment
Ability to work well with teams and cross-functional groups
Functional/Technical Skills, Problem Solving, Drive for Results, Decision Quality, Interpersonal Savvy, Strategic Agility, Managerial Courage, Innovative Thinking
Currently pursuing or interested in pursuing CPA license is preferred
Strong Analytical Skills / Fundamental Knowledge of Corporate Finance
Knowledge of corporate finance principles including ability to perform balance sheet, income statement, cash flow analysis, etc.
Familiarity with basic accounting principles or sophisticated accounting principles
Sophisticated excel skills and a willingness to learn new, emerging technologies
Teamwork/Leadership Skills
Ability to work with people within and outside the group, including cross-functional partners
Solves problems and develops new methods of analysis to streamline decision-making
Searches out and corrects inconsistent data; finds and fixes root cause and understands the drivers
GM does not provide immigration-related sponsorship for this role. Do not apply for this role if you will need GM immigration sponsorship now or in the future. This includes direct company sponsorship, entry of GM as the immigration employer of record on a government form, and any work authorization requiring a written submission or other immigration support from the company (e.g., H1-B, OPT, STEM OPT, CPT, TN, J-1, etc.)
Work Arrangement:
Hybrid: This role is categorized as hybrid. This means the successful candidate is expected to report to Detroit or Warren, MI, three times per week, at minimum.
GM will provide a one-time lump sum taxable stipend payment to eligible students selected for the 2026 Student Program.
To help facilitate administration of relocation benefits if you are selected, please apply using the permanent address you would move from.
Start dates for this internship role are May & June of 2027.
What you’ll get from us (Benefits):
Paid US GM Holidays
GM Family First Vehicle Discount Program
Result-based potential for growth within GM
Intern events to network with company leaders and peers
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
]]>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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]]>General Motors is seeking motivated, analytical students to join our Supplier Quality Internship Program for Summer 2027. This 12-week, project-based internship offers hands-on experience in supplier quality, manufacturing processes, and automotive engineering.
Interns may be assigned to one of two focus areas: Supplier Quality Engineer or Supplier Quality Launch Engineer. In either area, you will work with experienced General Motors team members and suppliers to support quality performance, resolve manufacturing issues, and contribute to projects that help deliver reliable, high-quality components to customers.This internship provides the opportunity to collaborate with purchasing, product engineering, manufacturing, and supplier teams while learning how quality is managed throughout the component and vehicle development lifecycle.
The Supplier Quality team serves as the technical connection between General Motors and its suppliers. The team helps suppliers establish effective quality systems, prepare components for production, resolve manufacturing and quality issues, and maintain strong performance throughout the life of a component.Supplier Quality team members work across functions and with supplier partners to support new vehicle launches, improve production processes, and protect the customer experience. Interns will learn from industry professionals in a fast-paced, collaborative automotive environment.
Be the technical liaison between GM purchasing, product engineering, manufacturing, and our supply base. You will also work with the suppliers to resolve supplier manufacturing and quality issues, implement and monitor advanced quality planning systems, and provide technical support throughout the lifecycle of a particular commodity, including warranty. Role responsibilities include:
Support supplier understanding and use of Advanced Product Quality Planning processes and Production Part Approval Process requirements in accordance with General Motors standards.
Review supplier quality plans, including control plans and Process Failure Mode and Effects Analyses, for new components and assemblies.
Review supplier manufacturing processes and quality systems.
Support root-cause analysis and corrective actions for supplier manufacturing and quality issues.
Participate in supplier visits to support root-cause analysis and verify corrective actions.
Help implement and monitor supplier part qualification and certification activities, including Production Part Approval Process submissions and production-rate evaluations.
Support efforts to improve supplier quality performance through workshops, technical assistance, and quality-system development.
Collaborate with purchasing, product engineering, manufacturing, and supplier teams to address quality concerns and support project milestones.
Use analytical and problem-solving skills to identify trends, evaluate issues, and recommend practical solutions.
Contribute to continuous improvement and general engineering projects that create value for General Motors and its supplier.
Implement and monitor supplier part qualification and certification processes (PPAP, Run at Rate).
Improve quality performance of suppliers by conducting onsite workshops at supplier locations, providing technical assistance in developing a robust quality system, or other technical support as required.
Currently enrolled in a bachelor’s degree program in mechanical engineering, electrical engineering, industrial and systems engineering, manufacturing engineering, materials or metallurgical engineering, quality engineering or management, or a related technical discipline.
Available to work full-time, 40 hours per week, during the 12-week summer internship.
Must be graduating between December 2027 - June 2029.
Strong analytical and problem-solving skills.
Basic knowledge of quality systems, manufacturing processes, or engineering fundamentals.
Proficiency with Microsoft Office applications, including Excel, PowerPoint, and Word.
Effective written and verbal communication skills.
Ability to work collaboratively in a team environment.
Detail-oriented with strong organizational skills.
Willingness to learn and adapt in a fast-paced, dynamic environment.
Completion of your sophomore or junior year of college before the start of the internship.
Exposure to lean manufacturing, Six Sigma, or quality engineering tools.
Familiarity with engineering drawings, geometric dimensioning and tolerancing, or materials science concepts.
Prior internship, co-op, academic project, or other hands-on experience in manufacturing or the automotive industry.
Demonstrated initiative, accountability, and ownership of assigned work.
Ability to build effective relationships with diverse teams across functions and cultures.
Customer-focused approach to problem-solving and continuous improvement.
High level of integrity and professionalism.
Start Date
Start dates for this internship role are May 24th & June 14th of 2027.
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.
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.)
]]>Hardware Design & PCB Layout Engineer - Advanced Power Electronics
Job Description
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
Lead advanced technology development for power electronics systems, including design, analysis, simulation, validation, and testing.
Develop advanced power converter hardware solutions that meet future EV performance, cost, reliability, and manufacturability requirements.
Create and support digital and analog hardware designs, including schematic development, PCB layout, simulation, and supporting documentation.
Develop PCB layouts for new and existing architectures, ensuring designs meet functional, manufacturability, signal integrity, power integrity, EMC, thermal, and mechanical requirements.
Perform component placement, trace routing, stack-up definition, and layout optimization for high-density, high-speed, and mixed-signal electronic designs.
Create, review, and verify PCB layouts through Design Rule Checks (DRC), Design for Manufacturability (DFM), and Design for Assembly (DFA) methodologies.
Utilize modeling, simulation, systems analysis, and optimization tools to ensure designs meet system-level requirements and interface considerations.
Collaborate closely with hardware designers, systems engineers, ECAD engineers, PCBA engineers, packaging engineers, manufacturing teams, and suppliers to optimize design performance and production readiness.
Required Qualifications
Bachelor of Science in Electrical Engineering
Minimum 5 years of professional experience in hardware design, PCB layout, or power electronics development.
Experience creating digital and analog hardware interfaces, including schematic capture, PCB layout, simulation, and engineering documentation.
Hands-on experience with PCB design and analysis tools such as Mentor Graphics/Xpedition, Altium, or equivalent ECAD platforms.
Experience conducting PCB layout verification activities, including DRC, DFM, and DFA reviews.
Strong problem-solving, communication, and project management skills.
Preferred Qualifications
10+ years of experience in PCB layout, hardware design, or power electronics development.
Experience with electric vehicle propulsion systems, inverters, converters, battery systems, or automotive ECUs.
Knowledge of high-speed communication interfaces including Ethernet, CAN, LIN, and automotive networking technologies.
Experience with high-density, high-speed, RF, or mixed-signal PCB layouts.
Familiarity with automotive development processes, functional safety, and product development lifecycle requirements.
Experience supporting manufacturing launches, supplier development, and production-ready PCB designs.
Demonstrated success driving cost reduction, performance optimization, and technology innovation initiatives.
Previous experience with HV power electronics, connectivity, or other complex automotive electronic systems.
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.
]]>The Role -
Support GM China in market and competitive analysis, NEV portfolio planning, and content preparation, while exploring AI-based tools and models to improve forecasting and daily work efficiency.
What You’ll Do -
Your Skills & Abilities (Required Qualifications)
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.
]]>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 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.
#LI-DNI
]]>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.)
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)
As a Facilities Electrical Engineer at Wentzville Assembly, you will be part of GM’s Global Facilities organization, partnering globally to deliver expert facility solutions and unleashing the capacity of people, machines, buildings, and workspaces.
You will support workplace transformation across the Wentzville Assembly complex, working with an industry‑leading team that designs, builds, operates, and maintains safe, compliant, and cost‑effective facilities and building electrical assets.
You will help engineer and sustain robust industrial electrical systems that support vehicle assembly operations, utilities, and site infrastructure, utilizing advanced technology to drive reliability, energy efficiency, and social and ecological sustainability. At Wentzville, we create the future — not just plan for it.
What You’ll Do
Serve as the single point of contact and owner for facilities needs in your assigned area, ensuring the proper physical operation of manufacturing facilities, including areas where contract services are provided.
Own assigned portions of the plant’s building and utility electrical systems (e.g., medium‑ and low‑voltage distribution, substations, MCCs, lighting, UPS/generators, building power and controls) to deliver safe, reliable operation that supports production and maintenance needs.
Provide technical direction to and oversight of resident business partners and outside contractors, ensuring safe work practices are followed and work is completed to GM standards.
Apply rigorous problem‑solving to electrical and facilities issues impacting safety, quality, throughput, or cost.
Plan and execute capital and expense projects involving building and facilities electrical systems, developing project scopes, estimates, and justifications.
Bid and establish equipment and installation contracts; procure construction management resources.
Ensure compliance with GM standards, codes, and regulatory requirements: Lead and support preventive and predictive maintenance and equipment uptime improvement:
Champion innovation, sustainability, and continuous improvement:
Provide day‑to‑day technical support to skilled trades, contractors, and other engineers:
Support plant safety initiatives and systems:
Participate in and sometimes lead cross‑functional teams, meetings, and reviews:
Your Skills & Abilities
Bachelor of Science degree in Electrical Engineering (or equivalent engineering degree with significant electrical coursework/experience).
Demonstrated technical aptitude for the design, maintenance, and operation of industrial or commercial building electrical systems (e.g., power distribution, protection, lighting, controls).
Experience in project planning, engineering, and execution (scope development, estimates, design coordination, installation, and launch).
Strong analytical and problem‑solving skills, with the ability to break down complex issues and drive to root cause.
Strong interpersonal, teamwork, and communication skills (verbal and written) with the ability to work effectively with skilled trades, contractors, engineers, operations, and leadership.
Demonstrated commitment to electrical safety and safe work practices.
Willingness and ability to support a manufacturing operation, including occasional off‑shift, weekend, and shutdown support as required by the business.
What Will Give You a Competitive Edge
Master’s degree, PE license, or relevant professional certifications in electrical engineering, power systems, or industrial facilities.
Experience with High voltage substations, medium‑voltage (e.g., 13.2 kV) and low‑voltage distribution systems in an industrial environment.
Working knowledge of NFPA 70/70E and related electrical codes and standards.
Experience with arc‑flash analysis, labeling, and mitigation.
Experience with AutoCAD or similar tools for electrical drawings.
Experience in automotive, heavy manufacturing, or large industrial facilities.
Familiarity with CMMS systems (e.g., SAP) and facilities management tools (e.g., CAFM/Archibus).
Experience leading cross‑functional projects and/or directing contractors in an operating plant.
General Motors is seeking a Principal 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
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, 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 $238,700 and $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.
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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
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
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.
]]>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.
]]>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.).
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.
Onsite: This role is categorized as onsite. This means the successful candidate is expected to report to Saginaw, MI on a full-time basis.
The Role
The Material Flow Coordinator is responsible for ensuring accurate, efficient, and uninterrupted material flow from suppliers through receiving and inventory management. This role partners closely with suppliers, logistics providers, and plant operations to maintain inventory accuracy, resolve material issues, and support production schedules while adhering to internal controls and quality standards. This role also includes Dangerous Goods responsibility, GMS subject matter expert, material movement automation, and material flow improvements through Lean Material Strategies.
What You Will Do
· Coordinate daily material flow activities to support production schedules across all of Bay City Propulsion
· Maintain accurate inventory records and plant material data; investigate discrepancies, gains/losses, and part history issues
· Monitor and audit pull systems, part buffers, and min/max conditions; resolve floor-level material issues as they arise
· Interface with suppliers, LLPs, logistics partners, and plant teams to resolve material issues
· Support material flow during source changes
· Manage troubled suppliers
· Scrap SME for the Global Supply Chain Team
· Responsible for Dangerous Goods
· Manage PPD
Your Skills & Abilities (Required Qualifications)
· 3 yrs of experience in material department operations, manufacturing processes, and cross-functional plant relationships
· Experience with inventory control processes and material flow systems
· Analytical skills to resolve moderately complex material and inventory issues
· Strong planning and organizational skills
· Ability to work effectively with suppliers, logistics partners, and plant operations teams
· Computer skills required - Microsoft Excel and Teams mandatory
· MGO knowledge and experience required; MGO-C a plus
· Strong communication skills to work effectively with cross-functional teams
What Could Give You A Competitive Edge (Preferred Qualifications)
· Experience working in a manufacturing or assembly plant environment
· Familiarity with lean manufacturing or material flow optimization principles
· Experience supporting audits, internal controls, or ISO-related activities
Hybrid: This position requires you to work on-site 3 times a week (Tue to Thu)
The Position
We are looking for a professional who can turn development needs into impactful learning solutions. In this role, you will partner with business teams to design, implement, and measure learning programs that drive capability building and business results.
Working closely with regional and global stakeholders, you will help shape scalable talent development initiatives that create meaningful impact across the organization
What you will do (responsabilities):
Location: São Caetano do Sul/SP ou São José dos Campos/SP
Your skills and abilities (required qualifications):
What may give you a competitive advantage (preferred qualifications):
#LI-AS
Work Arrangement: This role is categorized as hybrid. This means the successful candidate is expected to report to the office four times per week or other frequency dictated by the business.
The Role
This position is based at GM Technical Centre India - Bengaluru, where our teams focus on manufacturing engineering in Automation. We specialize in designing, developing and operationalizing complex integrated production systems to deliver cost-effective solutions with highest standards of quality.
Automation work categorize into 2 types, Execution & Development.
During Execution role, The Controls engineer will be primarily responsible for execution of all Controls related projects in various capacities at GM plants across the Globe with respect to Safety, Delivery, Quality, Cost and Performance. In this position the Engineer will perform offline designs and online execution on various new or existing product programs across our portfolio. The incumbent will need to possess a broad technical knowledge, combined with creative and independent thinking and conceptual ability.
During Developmental role, the Controls Engineer will be responsible to work along with Regional & Global team/SMEs to develop & maintain engineering standards work related to Hardware/Software templates, e-tools, etc.
This position will be based out of GM Technical Center India in Bangalore and involves travel opportunities across different regions for project execution.
What You'll Do
Supervise and control projects including project scope, issues, risks and schedule. Handle issues to closure. Communicate project status and ensures all internal customers are aware of progress through project meetings, status reports and reviews.
Participate in Investment studies, preliminary design discussions for any new or expansion projects.
Responsible for inhouse engineering on Hardware designs, software designs, Emulation, Integration & Commissioning at site.
If its Turnkey project, Guide & approve Hardware/ Software designs done by contractors for various project in the region. Conduct offline testing & Buyoff at supplier’s site.
Implement GM Global tools for design of hardware & software to ensure minimum debug on site. Train suppliers and Engineers of other GM units.
Validate designs and provide feedback to Global Centre w.r.t GM standards.
Responsible for deploying GM Global standards across all projects.
Responsible for training and Integrating Suppliers to enforce to GM standards.
Responsible for performing Root cause analysis.
Prepare & Share lessons learnt for the projects completed.
Coordinate project timing schedule, design deliverables and safety aspects with team. Jointly conduct test runs for equipment at site as per process.
Coordination with other units of GM (worldwide) for Global projects.
Develop & Maintain components in Emulate 3D (Electrical & Mechanical)
Develop Electrical & Mechanical models using Emulate 3D
Thorough knowledge of Plant Floor System related to Automation.
Your Skills & Abilities (Required Qualifications)
Masters/ bachelor's degree in electrical engineering / Electronics Engineering / Instrumentation Engineering.
10+ years' experience in any Automotive companies or Software Companies with Automation background.
In depth knowledge of control systems and/or control systems in automotive assembly plants
Knowledge on PLC, HMI, Drives, Networks along with strong programming skills preferably Rockwell PLC.
Project management and site execution skills.
Thorough knowledge of Rockwell PLC software, Siemens HMI software as well as interfaces to other controls systems
Knowledge of Emulation softwares like Emulate 3D, etc
Knowledge of Machine Vision hardwares/softwares (Matrox)
Thorough knowledge of PLC hardware and software design and engineering
Knowledge of design for health and safety will be helpful
Knowledge on equipment selection, cost estimation, material procurement is an advantage
Should be able to read Electrical/mechanical drawings, layout and have design capabilities.
Acquaintance with Eplan for hardware design and experience on Siemens HMI will be an added advantage.
Ability to understand legacy equipment & propose solutions in case of upgradation.
Knowledge of interface to upper level systems.
Basic Knowledge on programming skills such as XML, C#, J Script, VBA, Python etc..
Knowledge on Robot Programming and troubleshooting, preferably FANUC Robots
Knowledge on Robotic applications like spot-welding, arc-welding, dispensing, roller hemming etc.
Acquaintance with Robot simulation studies and experience on Robot simulation software will be an added advantage.
Robot interface with other equipment (PLC, Line Controller, Other Machines etc). Experience in large BIW projects. Ability to understand electrical and electronic requirements for mechanical equipment’s.
What Will Give You A Competitive Edge (Preferred Qualifications)
Good communication and interpersonal skills.
Quick Learning & functional expertise.
Project management and site execution skills
Ability to work with intercultural, multi-disciplinary & remote teams to achieve functional goals.
Ability to organize, plan, prioritize and execute projects with a keen attention to details.
Willingness to travel across regions for executing projects.
In-House Hardware and Software controls experience is preferred
Job Description:
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.
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
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Position Summary
The role is responsible for manufacturing accounting, logistic costs, financial controls, and reporting activities. This person ensures accurate financial records, supports monthly and quarterly close processes, evaluates accounting impacts of business decisions, and helps maintain compliance with accounting standards, internal control requirements, and external reporting obligations.
This position works closely with finance, operations, shared services, and other business partners to support sound decision-making, improve processes, and strengthen financial governance across manufacturing operations. We are looking to hire a professional interested to become the leader of the future in Finance.
Key Responsibilities
· Perform general ledger activities with accuracy, timeliness, and compliance with professional accounting standards and generally accepted accounting principles.
· Identify, interpret, and assess potential accounting risks and issues.
· Research and analyze accounting transactions, contracts, and business events to determine the appropriate accounting treatment.
· Partner with finance and business teams to evaluate the accounting implications of transactions and operational decisions.
· Perform analytical reviews to support material business decisions and financial conclusions.
· Evaluate current accounting practices and recommend process improvements to increase efficiency, accuracy, and control.
· Support internal and external financial reporting activities, including analysis of consolidated results, preparation of management review materials, and coordination of reporting timelines.
· Research and interpret new accounting standards and determine how they apply to General Motors.
· Analyze logistics cost flows (in line with operational logistic and customs strategies) and ensure proper accounting treatment.
· Support compliance with quarterly and annual external reporting requirements.
· Help ensure high-quality reporting through timely review, analysis, and coordination across stakeholders.
· Execute and maintain internal controls and financial procedures in line with Sarbanes-Oxley requirements and company policies.
· Support compliance with logistic costs control policies and accounting governance requirements.
· Identify control gaps, recommend corrective actions, and help strengthen the overall control environment.
· Support finance transformation and efficiency initiatives, including system improvements and regulatory change implementation.
· Drive improvements in accounting processes, reconciliations, reporting quality, and control execution.
· Promote standardization, transparency, and stronger process discipline across logistic costs accounting activities.
· Support internal and external audits internas e externas, assegurando resposta tempestiva às demandas.
Required Qualifications
· Undergraduate degree in accounting with active Regional Accounting Council registration (CRC)
· Strong knowledge on accounting and financial reporting.
· Experience with monthly close, reconciliations, cost analysis, and internal controls.
· Ability to interpret accounting standards and apply them to business transactions.
· Strong analytical, organizational, and problem-solving skills.
· Ability to work across functions and communicate clearly with both finance and non-finance stakeholders.
· Experience managing deadlines and balancing multiple priorities in a complex environment.
· Experience with SAP applied to Accounting
· Knowledge of modernization and automation tools such as Python, Power BI, and artificial intelligence solutions to improve analysis, reporting, and process efficiency.
· Advanced or fluent English with excellent written and oral communication skills.
· Strong computer skills.
Preferred
· Spanish (intermediate to advanced)
On-site: This role is categorized as onsite. This means the successful candidate is expected to report to the Parma STPG on a full-time basis.
The Role:
The Health Center Supervisor is responsible for direct management of nursing staff and delivery of clinical operations at the Parma STPG facility. They guide and support medical staff, promote communications, monitor medical programs, integrate with the local business, be responsible for the site emergency response program, and promote health and well-being.
What You'll Do:
Your Skills & Abilities (Required Qualifications):
What Can Give You a Competitive Edge (Preferred Qualifications):
This job may be eligible for relocation benefits
]]>
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
]]>The Data Labeling Engineering team designs, builds, and operates hybrid human/machine data labeling tools and pipelines that power autonomous vehicle machine learning models within General Motors' AV organization . We operate in the intersection of software engineering , data engineering , and AI/ML , defining the strategies, tooling, and quality controls that create reliable training data at scale. Our tools and platform are used by thousands of users and consumers.
We own a modern full‑stack architecture including TypeScript/React, Python, GraphQL, Golang , and ML model services , which powers data‑annotation pipelines and machine‑led training data solutions at foundation‑model scale . We partner closely across AI/ML engineers , Product Operations , Product Management , Data Science , and other ML Platform groups.
This role is ideal for an engineer looking for end-to-end ownership of meaningful pieces of the platform, growth in technical and strategic leadership, and direct impact across teams and systems that unblock the next generation of AV capabilities.
Compensation: The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of New York, Colorado, California, or Washington.
We are seeking experienced and motivated candidates for the role of Senior Software Engineer – Virtual Cloud Platform as part of the Virtualization & Embedded Software Development Tools (VEST) team in VSEE. Our mission is to develop tools, platforms, and virtual automation capabilities that accelerate infrastructure and application software development, enable co-simulation in cloud-based virtualization environments, and support automated validation workflows within a larger CI/CD framework.
As a Senior Software Engineer, you will work across organizational boundaries to design, develop, deploy, and sustain scalable cloud applications and automation solutions that support embedded software development for VIP and SDV programs. You will serve as a subject matter expert for GM’s industry-leading SOLE virtualization platform, ensuring that platforms meet technical, scalability, cybersecurity, and commercial requirements for infrastructure and application software development.
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.
What You’ll Do (Responsibilities):
Yours Skills & Abilities (Required Qualifications):
What Can 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 compensation may not be representative for positions located outside of the California Bay Area.
• 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:
• Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending 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-KE2
]]>Preferred Experience Includes:
Primary Responsibilities:
Interested individuals must meet the following minimum qualifications:
Physical Requirements
At General Motors we strive for a culture of excellence. We act with integrity. We are driven by ingenuity and innovation. We have the courage to do and say what's difficult. Each of us takes accountability for results, drives for continued efficiencies and has the tenacity to win.
We are seeking Manufacturing Mechanical Engineer Interns to do hands-on work that could add directly to the bottom line of our culture and our company. You will have many responsibilities and accountabilities, like mechanical support for programs. You will learn how to lead mechanical projects for several different areas of the plant including operations improvements and new and replacement programs. This is a hands-on position in which you may work with periodic repairs and to provide technical support and direction to support personnel/skilled trades.
What You’ll Do:
Mechanical root cause analysis and problem solving
Analyze product, process and technology to figure out the best methods of manufacture
Assist in the design and building of tools and equipment or recommends improvements to existing processes
Assist maintenance personnel in operation and maintenance of specialized equipment
Troubleshoot special maintenance and equipment problem
Coordinate machinery upgrade projects
Lift or carry materials weighing up to 15 pounds and periodically carry or lift materials weighing up to 40 lbs.
Occasionally sit, climb (including ladders and lifts) and drive vehicles and equipment.
Required Qualifications:
Pursuit of a Bachelor’s degree in one of the following areas: Mechanical Engineering/Mechanical Engineering Technology, Mechatronics
Must be graduating between August 2027 and June 2029
Able to work full-time, 40 hours per week
Must be willing to work in a plant environment
Preferred Qualifications:
Outstanding interpersonal and relationship management skills with the ability to effectively collaborate with varying levels of the organization
Excellent written and verbal communication skills with the ability to distill complex subjects to a wider audience
Evidence of strong character with integrity, honesty, accountability and trust
Consistently demonstrates innovative thinking that is customer-centric
Excellent project management skills and the proven ability to manage multiple projects at any given
Specific physical requirements of the position include the ability to:
Walk and stand for prolonged periods of time.
Read standardized work instructions, operate machines and tools, and perform quality inspections.
Promptly detect and respond to safety instructions, alarms, and signals.
Wear personal protective equipment, for example: safety glasses, gloves, hats, ear plugs, and safety shoes.
Work in a loud manufacturing environment that is not climate controlled (conditions can be hot or cold).
Frequently and repetitively bend, twist, kneel, crouch and reach to perform work.
GM does not provide immigration-related sponsorship for this role. Do not apply for this role if you will need GM immigration sponsorship now or in the future. This includes direct company sponsorship, entry of GM as the immigration employer of record on a government form, and any work authorization requiring a written submission or other immigration support from the company (e.g., H1-B, OPT, STEM OPT, CPT, TN, J-1, etc.)
Work Arrangement:
Onsite: This role is categorized as onsite. This means the successful candidate is expected to report to their assigned facility on a full-time basis.
Each successful candidate will be offered an onsite role at a specific location. Candidate location preferences are considered but cannot be guaranteed.
Job Location:
We have opportunities available in the locations below for this role. Please indicate in your application which of these locations you are interested in.
Arlington, TX
Bay City, MI
Bedford, IN
Bowling Green, KY
Defiance, OH
Detroit, MI
Flint, MI
Fort Wayne, IN
Grand Rapids, MI
Kansas City, KS
Lansing, MI
Marion, IN
Orion, MI
Parma, OH
Rochester, NY
Romulus, MI
Saginaw, MI
Spring Hill, TN
Toledo, OH
Wentzville, MO
GM will provide a one-time lump sum taxable stipend payment to eligible students selected for the 2027 Student Program – to help facilitate administration of relocation benefits, please apply using the permanent address you would move from.
Start dates for this internship role are May 24th and June 14th of 2027.
]]>What You’ll Do:
At GM, we have a “Look Ahead” culture where we develop strategic perspectives and establish goals. Supply Chain management fits right into our “Look Ahead” culture. In Supply chain there are always moving parts, timelines, and problems to overcome. Here you will have to use innovation and creativity to help drive results. You will be working in a fast-paced plant environment where you will learn interpersonal skills including the ability to prioritize, balance multiple projects simultaneously, and meet goals.
Required Qualifications:
Pursuit of a Bachelor’s degree in one of the following areas: Supply Chain Management, Industrial Engineering, Industrial Engineering Technology, Business/Management
Must be graduating between August 2027 and June 2029
Able to work full-time, 40 hours per week
Must be willing to work in a plant environment
Preferred Qualifications:
Highly proficient with Microsoft office products - Word, Excel, PowerPoint
Strong interpersonal, verbal, and written communication skill ability to distill complex subjects to a wider audience
Demonstrated leadership in field of study, extracurricular activities or service organizations
Experience with commodities (metals, stampings, castings, plastics, resins, paint, electronics, etc.)
Exposure to logistics, packaging or manufacturing
Knowledge of procurement software and databases
Knowledge of materials management
Experience with interpreting market data
Exposure to reading blueprints and understanding basic engineering documents
Emerging partnership and teamwork skills and ability to learn from and share knowledge with co-workers in a fast-paced environment
Evidence of strong character with integrity, honesty, accountability and trust
Specific physical requirements of the position include the ability to:
Walk and stand for prolonged periods of time.
Read standardized work instructions, operate machines and tools, and perform quality inspections.
Promptly detect and respond to safety instructions, alarms, and signals. Wear personal protective equipment, for example: safety glasses, gloves, hats, ear plugs, and safety shoes.
Work in a loud manufacturing environment that is not climate controlled (conditions can be hot or cold).
Frequently and repetitively bend, twist, kneel, crouch, and reach to perform work.
Lift or carry materials weighing up to 15 pounds and periodically carry or lift materials weighing up to 40 lbs.
Occasionally sit, climb (including ladders and lifts) and drive vehicles and equipment.
GM does not provide immigration-related sponsorship for this role. Do not apply for this role if you will need GM immigration sponsorship now or in the future. This includes direct company sponsorship, entry of GM as the immigration employer of record on a government form, and any work authorization requiring a written submission or other immigration support from the company (e.g., H1-B, OPT, STEM OPT, CPT, TN, J-1, etc.)
Work Arrangement:
Onsite: This role is categorized as onsite. This means the successful candidate is expected to report to their assigned facility on a full-time basis.
Each successful candidate will be offered an onsite role at a specific location. Candidate location preferences are considered but cannot be guaranteed.
Job Location:
We have opportunities available in the locations below for this role. Please indicate in your application which of these locations you are interested in.
Arlington, TX
Brookville, OH
Detroit, MI
Fort Wayne, IN
Grand Rapids, MI
Kansas City, KS
Lansing, MI
Parma, OH
Saginaw, MI
Spring Hill, TN
Toledo, OH
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.
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
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)
Compensation: The compensation information 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
]]>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:
GM is embarking on a process and systems transformation spanning our end to end scheduling ecosystem. The overall intent of this transformation is to leverage modern technical capabilities in simulation, scenario planning, machine learning and AI to improve decision making agility and operational stability, delivering peak value to the company, its’ customers and its’ stakeholders.
We are seeking an S&OP Planning & Optimization Analyst to help shape the next generation of our enterprise Sales & Operations Planning (S&OP) process. This role sits at the intersection of planning, data, technology, and cross-functional decision-making, helping transition our organization from manual, fragmented planning processes to a system-driven, scenario-based planning environment.
You will partner with teams across Sales, Supply Chain, Manufacturing, and Finance to define planning logic, design and evaluate scenarios, ensure data alignment, and support the development of a new S&OP technology platform. This is a unique opportunity to influence how a Fortune 100 manufacturer plans demand and supply at scale—improving transparency, speed, customer satisfaction, schedule stability, and operational execution.
What You’ll Do:
Your Skills & Abilities (Required Qualifications):
What Will Give You A Competitive Edge (Preferred Qualifications):
Impact
Why Join Us
🚀 ¡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.
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🧭 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.
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.
]]>REQUIREMENTS : Master’s degree in Electrical and Computer Engineering, Automotive Engineering, Mechanical Engineering, or related field of study. Three (3) years of experience as a Design Release Engineer, Structural Engineer, Vehicle Safety Engineer, CAE Engineer, or related engineering role. Or Bachelor’s degree in Electrical and Computer Engineering, Automotive Engineering, Mechanical Engineering, or related field of study, and five (5) years of experience as a Design Release Engineer, Structural Engineer, Vehicle Safety Engineer, CAE Engineer, or related engineering role. Three (3) years of experience with the following: Preparing Bills of Design and Statements of Requirements; Conducting Design Failure Mode and Effects Analysis (DFMEA) and Design Reviews; Project management in an engineering environment; Engineering mechanics, electronics, physics, and manufacturing methods; and Working through Engineering Change Management processes.
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We are seeking a highly skilled and experienced Principal TLM (Technical Lead Manager) to lead the development and optimization of our Machine Learning (ML) Data Infrastructure. This role is crucial for enabling cutting-edge AI solutions and driving data-driven innovation across General Motors.
What You'll Do:
* Lead and manage a team of engineers in the design, development, and maintenance of scalable and robust ML data infrastructure, ensuring high performance, reliability, and security.
* Define and implement architectural patterns and best practices for data ingestion, processing, storage, and access within the ML ecosystem, utilizing Agile Methodology.
* Collaborate with ML engineers, data scientists, data platform engineers, and product teams to understand data requirements and translate them into technical specifications for the data infrastructure.
* Conduct in-depth analysis of existing systems, identifying bottlenecks and opportunities for improvement in data pipelines and analytical platforms.
* Utilize strong understanding of data pipeline development and existing and upcoming technologies to design efficient data flows and system architectures.
* Oversee the evaluation and integration of new technologies and tools to enhance the ML data infrastructure capabilities.
* Provide technical guidance and mentorship to junior engineers, fostering a culture of innovation and continuous learning.
* Work with relevant partners to ensure compliance with data governance policies, security standards, and regulatory requirements.
* Participate in strategic planning and road mapping for the ML data infrastructure, aligning with overall company objectives.
* Proactively identify and address potential issues, demonstrating a Detail-Oriented approach to problem-solving.
* Utilize Qualitative Research to understand user needs and inform infrastructure development.
Your Skills & Abilities:
* Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
* 10+ years of experience in data engineering, software development, or a related field with a focus on Machine Learning (ML) data infrastructure.
* Proven experience in leading and managing technical teams.
* Deep expertise in designing, building, and operating large-scale data systems and Analytical Platforms.
* Proficiency in multiple Computer Languages relevant to data engineering (e.g., Python, Scala, Java).
* Strong understanding of Artificial Intelligence (AI) and Machine Learning (ML) concepts and their data requirements.
* Demonstrated ability in Determining System Requirements and translating them into technical solutions.
* Solid understanding of Agile Methodology and experience working in an agile environment.
* Excellent analytical, problem-solving, and communication skills.
* Highly Detail-Oriented with a commitment to quality and accuracy.
Preferred Qualifications:
* Previous experience in Robotics or Autonomous Driving.
Remote/Hybrid: This role is categorized as fully remote or hybrid.
Compensation: The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of the California Bay Area.
Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.
Company Vehicle : Upon successful completion of a motor vehicle report review, you will be eligible to participate in a company vehicle evaluation program, through which you will be assigned a General Motors vehicle to drive and evaluate. Note: program participants are required to purchase/lease a qualifying GM vehicle every four years unless one of a limited number of exceptions applies.
Relocation: This job may be eligible for relocation benefits.
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]]>The successful candidate will oversee executive payroll-related activities and vendor relationships, guide the implementation of corporate payroll tax initiatives, and provide governance across multiple payroll processes and jurisdictions. They will collaborate with Tax, Finance, Human Resources, Legal, vendors, and other business partners to identify risks, resolve complex issues, support strategic decisions, and achieve desired business results.
Provide oversight and governance for U.S. and global executive payroll activities, ensuring accurate, timely, and compliant execution.
Perform payroll tax compliance activities related to executive processing, including federal, state, and local requirements.
Own the process for W-2 reconciliations and company tax tie-outs, ensuring variances are identified, researched, resolved, and appropriately documented.
Audit wages and tax implications of employees working, transferring, or being paid across multiple jurisdictions.
Maintain effective working relationships across multiple vendors and internal stakeholders, coordinating activities and escalating risks when appropriate.
Ensure compliance with internal control requirements, payroll policies, and tax regulations.
Review, analyze, verify, and present payroll and tax data to support management decision-making.
Provide financial analysis, risk assessment, and decision support to internal and external stakeholders as needed.
Proactively identify process improvement opportunities and lead change initiatives that improve accuracy, efficiency, control, and employee experience.
Lead or support special projects and global initiatives, including cross-functional implementations and operational readiness activities.
Serve as a subject matter expert and escalation point for complex executive payroll, payroll tax, vendor, and jurisdictional matters.
Lead project teams and influence outcomes across functions without direct authority when required.
Bachelor’s degree or equivalent work experience.
Five or more years of payroll, payroll tax, or global mobility experience.
Experience overseeing payroll operations, vendors, compliance activities, or cross-functional initiatives.
Experience with W-2 reconciliations and company tax tie-outs.
Understanding of the tax implications associated with employees working or being paid in multiple jurisdictions.
Ability to exercise independent judgment on complex and sensitive matters.
Ability to lead project teams and work independently.
Advanced written and verbal communication skills.
Strong interpersonal, collaboration, and team-building skills.
Strong understanding of corporate executive personnel policies and procedures.
Ability to work under pressure and balance multiple priorities and projects.
Thorough knowledge of payroll systems and end-to-end payroll business processes.
Certified Payroll Professional (CPP) certification.
Experience with stock-based compensation and related payroll and tax considerations.
Familiarity with automation and data analysis tools, including Excel and KNIME.
Experience supporting executive compensation, global mobility, or complex multi-jurisdiction payroll programs.
Location: Hybrid. This role is categorized as hybrid. This means the successful candidate is expected to report to the - Global HQ Warren MI three times per week, at minimum [or other frequency dictated by the business]
Relocation: This role is NOT eligible for relocation benefits.
GM DOES NOT PROVIDE IMMIGRATION-RELATED SPONSORSHIP FOR THIS ROLE. DO NOT APPLY FOR THIS ROLE IF YOU WILL NEED GM IMMIGRATION SPONSORSHIP NOW OR IN THE FUTURE. THIS INCLUDES DIRECT COMPANY SPONSORSHIP, ENTRY OF GM AS THE IMMIGRATION EMPLOYER OF RECORD ON A GOVERNMENT FORM, AND ANY WORK AUTHORIZATION REQUIRING A WRITTEN SUBMISSION OR OTHER IMMIGRATION SUPPORT FROM THE COMPANY (e.g., H-1B, OPT, STEM OPT, CPT, TN, J-1, etc.)
This posting is for an existing vacancy within the organization and is open to new applications.
AI Disclosure:
As part of the application process, Artificial Intelligence will be used in the hiring process for this role
Work Arrangement : Hybrid: This role is categorized as hybrid. This means the successful candidate is expected to report to Markham or Oshawa office three times per week, at minimum.
The Role
The Senior Systems Engineer will join the Systems Engineering team within the Device Data Capture and Data Engineering organization and help define, integrate, and ensure validation coverage of end-to-end vehicle data collection capabilities across embedded systems, cloud services, and data platforms. This role is focused on building strong systems engineering foundations for data engineering and data collection capabilities, including end-to-end systems requirements management, system architecture alignment, verification planning, validation coverage and compliance, integration into vehicle programs, performance monitoring, and operational observability. The role will ensure capabilities are defined with clear requirements, traceability, end to end system architecture, measurable verification strategy, and operational visibility.
The successful candidate will serve as a technical systems engineering leader who connects product intent to system behavior, vehicle integration, verification evidence, and operational outcomes. They will collaborate closely with system and software architects, operations, testing, product and program managers, and senior data engineering leadership to ensure capabilities are scalable, observable, compliant, and ready for deployment across vehicle programs.
What You'll Do (Responsibilities)
Lead end-to-end systems requirements management for vehicle data collection and data engineering capabilities, translating product and program needs into clear, testable, and traceable system requirements across vehicle, edge, and cloud components.
Drive systems architecture alignment for DDC capabilities, ensuring requirements, interfaces, operational flows, and deployment models are consistent across embedded agents, gateways, cloud ingestion pipelines, and downstream data platforms.
Own verification planning for new and existing capabilities, including definition of verification strategies, test scopes, entry and exit criteria, coverage expectations, and compliance evidence needed for release readiness and vehicle program integration.
Define and mature systems-level observability requirements so teams can monitor feature performance, fault behavior, service health, configuration uptake, population status, and end-to-end data transport across development, validation, exposure, and production environments.
Establish performance monitoring and capability observability frameworks that make it possible to assess whether features are functioning as expected, whether data sources are producing expected outputs, and whether uploaded data is reaching the intended storage and analytics destinations.
Partner with software, systems, and operations teams to define verification and validation coverage across the DDC capability domains, including logs, metrics, traces, binary files, functional signals, configuration distribution, and vehicle/data lifecycle behaviors.
Ensure robust traceability between capability requirements, architecture decisions, configuration states, deployed campaigns, captured data, and verification evidence so engineering teams can understand what was deployed, where it ran, and under what conditions data was collected.
Support integration of DDC capabilities into vehicle programs by identifying system dependencies, defining readiness criteria, aligning validation plans, and resolving gaps in cross-domain behavior, interfaces, or observability.
Collaborate with operations and cloud teams to ensure configuration, release, exposure, and deployment workflows are reflected in systems requirements and verification plans, especially for staged rollout, safe change management, and auditable deployment outcomes.
Contribute to capability reviews, design reviews, and program milestones by communicating technical risk, verification status, coverage gaps, and system performance trends to engineering leadership and stakeholders.
Mentor other engineers in systems thinking, requirements quality, verification strategy, observability-driven engineering, and cross-functional technical collaboration.
Your Skills & Abilities (Required Qualifications)
Bachelor’s degree in Systems Engineering, Computer Engineering, Electrical Engineering, Software Engineering, Computer Science, or a related technical field.
8+ years of experience in systems engineering, software engineering, validation, or architecture for complex embedded, distributed, or cloud-connected systems.
Strong experience defining and managing end-to-end system requirements for multi-layer systems spanning embedded software, vehicle networks, cloud services, and data platforms.
Experience using requirements and project management tools like DOORS, Rhapsody, Jira, etc.
Demonstrated experience in system architecture, interface definition, and technical decomposition of complex capabilities into verifiable requirements and subsystem responsibilities.
Experience building verification strategies, test plans, and coverage models for integrated systems, including functional, integration, performance, and end-to-end validation.
Strong understanding of observability and performance monitoring concepts, including logs, metrics, traces, service health indicators, and operational dashboards.
Experience working with vehicle or edge data collection systems, telemetry pipelines, or distributed data platforms handling structured and unstructured data.
Ability to collaborate effectively across systems engineering, software, operations, testing, product management, and program management functions.
Strong written and verbal communication skills, with the ability to present technical tradeoffs, requirements, and verification status to senior leadership.
What Can Give You A Competitive Edge ( Preferred Qualifications):
Master’s degree in Systems Engineering, Electrical Engineering, Computer Engineering, Computer Science, or a related field.
Experience in automotive, connected vehicle, or vehicle software development environments.
Experience with observability ecosystems and telemetry standards such as OpenTelemetry, Grafana, Databricks or similar monitoring and analytics platforms.
Experience with configuration, release, deployment, or exposure workflows for vehicle software or fleet data collection capabilities.
Familiarity with cloud platforms and data engineering ecosystems such as Azure, AWS, Databricks, or equivalent large-scale data environments.
Experience with requirements traceability, compliance-oriented verification, and evidence-based release or deployment readiness reviews.
Working knowledge of Agile development processes, CI/CD practices, and cross-functional product delivery in software-defined vehicle organizations.
Experience with Testable Functionality and Rollout Planning (TFRP)
Experience with MBSE methodologies and tools (ex. SysML/UML, Cameo Systems Modeler/MagicDraw, IBM Rhapsody, Sparx Enterprise Architect, Capella, or equivalent tools) to model requirements, interfaces, behaviors, and traceability across vehicle, embedded, cloud, and data platform systems.
Ability to build and apply an MBSE framework for data engineering systems, including modeling standards, architecture and capability decomposition, requirements-to-test traceability, verification mapping, configuration and version management, and integration with tools and workflows such as Jira, Git, requirements management, and observability/test platforms.
Compensation:
The salary range for this role is $115,000 to $164,600. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.
GM DOES NOT PROVIDE IMMIGRATION-RELATED SPONSORSHIP FOR THIS ROLE. DO NOT APPLY FOR THIS ROLE IF YOU WILL NEED GM IMMIGRATION SPONSORSHIP NOW OR IN THE FUTURE.
Benefits Overview
The goal of the General Motors of Canada total rewards program is to support the health and well-being of you and your family. Our comprehensive compensation plan currently includes the following benefits, in addition to many others:
Paid time off including vacation days, holidays, and supplemental benefits for pregnancy, parental and adoption leave;
Healthcare, dental, and vision benefits;
Life insurance plans to cover you and your family;
Company and matching contributions to a Defined Contribution Pension plan to help you save for retirement;
GM Vehicle Purchase Plan for you and your family.
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):
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.
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]]>General Motors is seeking motivated, curious students to join our Sales Internship Program for Summer 2027. Working at General Motors means helping lead the way in world-class vehicles, technology, and customer experiences.
This 12-week, project-based internship will provide hands-on experience supporting General Motors’ Sales organization. You will collaborate with regional and headquarters sales teams to analyze market and sales information, identify opportunities to improve sales effectiveness, and develop recommendations that support business priorities. Throughout the internship, you will apply your analytical, problem-solving, and communication skills to projects that create long-term value for General Motors. At the conclusion of the internship, you will present your project work and findings to an executive leadership team.
General Motors Sales teams work to connect customers with vehicles and services that meet their needs while supporting dealers and strengthening business performance. They use market information, customer insights, and sales performance data to understand opportunities, improve the customer experience, develop effective sales strategies, and support the growth of each brand. You will work with team members who collaborate across regional, headquarters, brand, and dealer organizations to turn insights into practical recommendations and actions.
Interns may be placed within one of General Motors’ three Sales brand organizations: Cadillac, Buick GMC, or Chevrolet. Brand placement will be based on business needs, as well as your skills, interests, and development goals.
Cadillac: A modern luxury brand focused on redefining luxury craftsmanship, advancing cutting-edge technology, and delivering elevated customer experiences.
Buick GMC: Buick delivers attainable premium comfort, while GMC leads with capability, confidence, and professional-grade trucks and sport utility vehicles.
Chevrolet: One of America’s most recognizable brands, serving diverse customers through vehicles known for value, performance, capability, and dependability.
Collaborate with regional and headquarters Sales team members to collect, analyze, and interpret current sales and market information.
Identify key drivers of sales effectiveness using national, regional, and local market analysis.
Build standardized sales-effectiveness reports and develop recommendations for near-term actions.
Support Sales Operations teams with current business needs and project deliverables.
Develop an understanding of established sales procedures and approaches, allowing you to exercise independent judgment and make sound professional decisions with guidance from the team.
Apply academic knowledge and problem-solving techniques to identify and help resolve issues within the Sales organization.
Seek customer feedback and develop a detailed understanding of customer needs, issues, and priorities.
Use data and market insights to stay informed about customer preferences, market trends, and customer pain points.
Approach setbacks with resilience and a positive attitude by evaluating what happened and identifying opportunities to improve.
Present solutions and recommendations to Sales leadership with confidence and clarity.
Learn and apply new skills and technologies that can increase sales effectiveness and business impact.
Complete a project that creates value for General Motors and present your work and findings to executive leadership.
Pursuing a bachelor’s degree in business, sales, or a related field from an accredited college or university.
Must be graduating between December 2027 and June 2029.
Available to work full-time, 40 hours per week, for the duration of the 12-week internship.
Demonstrated analytical and problem-solving ability.
Demonstrated leadership through academic, extracurricular, or service activities.
Ability to work independently and collaboratively as part of a team.
Strong verbal and written communication skills, including the ability to explain complex subjects to a broad audience.
High level of integrity, comfort working through ambiguity, initiative, and self-direction.
Consistent demonstration of innovative thinking and customer-focused problem-solving skills.
Start Date
Start dates for this internship role are May 24th & June 14th of 2027.
Work Arrangement
Hybrid: This role is categorized as hybrid. This means the successful candidate is expected to report to Warren, Michigan - at least 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
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
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.
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)
Support the design, implementation, and execution of software verification for the AV/ADAS platform across HIL, SIL, and VIL environments.
Run and monitor system and integration tests, analyze diagnostics from a full-vehicle perspective, and help triage and debug AV Platform software issues.
Assist in building, maintaining, and improving t est environments and automation frameworks to increase coverage, reliability, and execution speed.
Help ensure tests align with relevant safety and regulatory standards (e.g., ISO 26262, SOTIF, FMVSS 111, FMVSS 127) and contribute to improving test metrics and coverage.
Collaborate with Software Infrastructure, application, and Hardware teams to reproduce issues, gather logs, and support root-cause analysis for Linux/QNX-based AV Platform software.
Participate in failure analysis activities (e.g., FMEA, root-cause investigations using Ishikawa/Fishbone analysis, A-B-A testing) and document findings in a clear, structured way.
Contribute to continuous improvement of test cases, tooling, and processes by incorporating feedback from senior engineers and cross-functional partners.
Required Qualifications (Minimum)
Recently completed, a Bachelor's or Master's degree in Computer Science, Computer Engineering, Electrical Engineering, or a related technical field
Experience with at least one programming language such as Python, C, or C++, through coursework, internships, research, or personal projects
Basic understanding of software testing concepts such as test cases, regression testing, and test automation
Familiarity with Linux development environments through classwork, labs, internships, or projects
Exposure to vehicle or networked systems, including basic knowledge of CAN or Ethernet
Strong problem-solving and analytical skills
Clear written and verbal communication skills and the ability to work well on cross-functional teams
What Will Give You a Competitive Edge (Preferred Qualifications)
Hands-on experience with HIL/SIL/VIL test environments, simulation benches, or lab-based embedded test setups.
Experience developing test automation using Python or similar scripting languages; familiarity with frameworks such as Robot Framework, or tools like CAPL and Vehicle Spy.
Exposure to embedded Linux or QNX-based systems, and/or real-time operating systems (RTOS); familiarity with ROS in robotics or autonomy projects is a plus.
Experience with n etwork and vehicle debugging tools such as Wireshark, CANoe/CANalyzer, INCA, or similar instrumentation platforms.
Basic understanding of automotive communication protocols and diagnostics, such as CAN, Ethernet, SOME/IP, DDS, and UDS/ISO 14229.
Familiarity with functional safety and safety-of-the-intended-functionality (SOTIF) concepts or standards (e.g., ISO 26262, SOTIF), gained through coursework or projects.
Internship, research, or project experience in automotive, robotics, autonomy, or real-time systems
Additional Requirements
May require a valid driver’s license and the ability to operate test vehicles as part of certain validation activities.
Occasional travel between Milford Proving Ground and GM Global Technical Center – Warren and/or other GM sites may be required for bench, lab, or vehicle testing.
Ability to work in lab, bench, and vehicle environments, including time on or around test vehicles and HIL/VIL benches.
Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.
Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.
*This job may be eligible for relocation benefits
*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)
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.
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]]> 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.
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]]>This role is categorized as on-site. This means the successful candidate is expected to report to Advanced Material Lab in Shanghai, China five times per week.
The Role -
The prospective candidate will be responsible for inventing new and/or improving existing battery materials technologies, especially Sodium-ion Battery; and optimizing existing battery cell design to meet multiple battery cell development that can be integrated into future GM products; and driving commercialization of GM’s innovations to production through close collaborations with partners including both internal GM organizations and external research institutes/universities and suppliers.
What You’ll Do -
Your Skills & Abilities (Required Qualifications)
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.
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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.
]]>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.
Develop and release reusable model-based simulation capabilities for electric-vehicle power electronics and high-voltage systems. This role will build, integrate, validate, document, and maintain component, plant, and system models for inverters, integrated power electronics (IPE), accessory power modules (APM), onboard charger modules (OBCM), power inverter modules (PIM), charging systems, and high-voltage buses.
The engineer will work across power electronics, controls, software, validation, electrical architecture, and vehicle systems teams to deliver reliable co-simulation and virtual capabilities. These capabilities will enable earlier design decisions, accelerate issue resolution, and improve prediction accuracy.
The role also includes targeted power-electronics and high-voltage system analysis to improve model fidelity and support hardware, controls, calibration, validation, supplier, and program decisions.
Key Responsibilities
Primary Assignment: Power-Electronics Virtualization and Co-Simulation
Secondary Assignment: Power-Electronics Analysis and Capability
Required Skills and Experience
Preferred Skills and Experience
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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]]>The Global Artisan Innovation Center brings together product, process, and technology innovation in a pre-production environment. In the Body Shop and Paint area, the maintenance team supports vehicle sheet-metal assembly, welding, paint, validation, equipment preventive maintenance, and continuous improvement.
As the 2nd Shift Maintenance Group Leader, you will be the on-shift leader for maintenance execution. You will set priorities, coach the team, partner with production and engineering, and drive solutions that improve safety, equipment availability, quality, and delivery.
• Lead and support second-shift maintenance work across the Body Shop and Paint area.
• Set daily priorities for preventive, predictive, corrective, and emergency maintenance.
• Coach and develop maintenance team members through clear expectations, standard work, training, and feedback.
• Reinforce safe work practices, energy-control requirements, personal protective equipment, and environmental expectations.
• Coordinate troubleshooting and repair of mechanical, electrical, hydraulic, pneumatic, controls, robotic, welding, conveyor, paint, ventilation, and material- handling equipment.
• Partner with Production, Manufacturing Engineering, Quality, Safety, Facilities, and outside service providers to resolve issues and protect build schedules.
• Review shift conditions, open work, equipment concerns, and staffing needs; provide complete handoffs to other shifts.
• Monitor work-order execution, preventive-maintenance completion, downtime, repeat failures, and parts availability.
• Use data and structured problem solving to eliminate recurring equipment issues and improve reliability.
• Support equipment installations, modifications, commissioning, process changes, and continuous-improvement projects.
• Maintain accurate maintenance records and ensure work is completed to approved procedures and standards.
• Help identify training needs and build the technical depth needed to support a flexible pre-production operation.
• Respond calmly and decisively during equipment disruptions while communicating status, risks, and recovery actions.
• High school diploma or equivalent.
• Five or more years of industrial, automotive, manufacturing, or similar maintenance experience.
• Two or more years of experience leading, coordinating, or supervising maintenance work or a skilled-trades team.
• Demonstrated knowledge of industrial mechanical and electrical systems, including troubleshooting methods.
• Experience with preventive maintenance, corrective maintenance, work-order prioritization, and equipment reliability.
• Working knowledge of safe work practices, energy control, hazard recognition, and regulatory requirements applicable to industrial maintenance.
• Ability to read and interpret electrical schematics, mechanical drawings, equipment manuals, and maintenance procedures.
• Ability to work a fixed second shift and provide overtime, weekend, or off-shift support when business needs require it.
• Strong communication, organization, decision-making, and problem solving skills.
• Ability to work effectively with hourly employees, salaried leaders, engineers, production partners, contractors, and suppliers.
• Previous experience leading managing a unionized workforce.
• Associate degree or technical certificate in industrial maintenance, electrical, mechanical, controls, or a related field.
• Experience in automotive body shop, paint shop, welding, robotics, conveyors, paint systems, or pre-production manufacturing.
• Experience with computerized maintenance-management systems and maintenance performance measures. (Maximo)
• Training or certification in industrial electrical, programmable logic controls, robotics, welding, safety, or reliability.
• Experience leading structured problem solving, lean manufacturing, or continuous- improvement activities.
• Experience supporting equipment installations, launches, process changes, or highly variable production requirements.
]]>The MSP (Mechatronic Software Platform) organization is responsible for building and operating the common mechatronic software platform that underpins GM’s SDV strategy, and GM Basic Software is a core part of that foundation.
General Motors Basic Software (GMBSW) delivered by the MSP group provides a standardized, software foundation that enables reliable integration, deterministic execution, cybersecurity, functional safety, and long-term maintainability across GM’s ECU ecosystem.
The Role:
The Engineering Group Leader– BSW leads a team of engineers responsible for defining, delivering, evolving, and supporting GMBSW capabilities across the MSP portfolio, including foundational areas such as HWIO/MCAL/RTOS, communication, cyber, diagnostics, data management, programming/boot, RTE, safety, system services, and vehicle/micro moding.
This leader aligns BSW strategy and execution with portfolio needs, partners closely with HWIO, integration, validation, and application teams, and ensures GMBSW remains production-ready, reusable, scalable, and fit for current and emerging programs such as MSP-supported MCU platforms.
The EGL creates an inclusive, high-performing team culture, develops talent, drives alignment and clear direction, challenges the status quo to improve efficiency and quality, and helps translate MSP portfolio priorities into strong technical execution and dependable customer support.
What You'll Do (Responsibilities):
People & Team Leadership
Technical & Product Leadership
Portfolio & Program Execution
Quality, Safety, Cybersecurity, and Release Readiness
Process Improvement & Operational Excellence
Your Skills & Abilities (Required Qualifications):
Build, configuration, release, and lifecycle management practices for reusable platform software.
People Skills:
What Will Give You A Competitive Edge (Preferred Qualifications):
Company Vehicle : Upon successful completion of a motor vehicle report review, you will be eligible to participate in a company vehicle evaluation program, through which you will be assigned a General Motors vehicle to drive and evaluate.
Note: program participants are required to purchase/lease a qualifying GM vehicle every four years unless one of a limited number of exceptions applies.
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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.
]]>Join the Cadillac Racing Program Management team as a Business Operations & Cost Optimization Intern supporting trackside and race-event operations. You will audit spend and processes, analyze budget-to-actual performance, and identify cost-cutting opportunities that improve efficiency, cost visibility, and business control without compromising performance, safety, or race readiness.
The Team:
Cadillac Racing competes at the highest levels of global endurance racing, including the IMSA WeatherTech SportsCar Championship and FIA World Endurance Championship. The Sportscar Program Management team coordinates the people, partners, budgets, and operations required to compete successfully. This role supports that team by strengthening financial discipline, operational efficiency, and measurable cost-reduction initiatives across the program.
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 GM’s Milford Proving Ground in Milford, Michigan three times per week, at minimum, or at another frequency dictated by the business.
For those eligible, 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 24 and June 14, 2027.
]]>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.
This job may be eligible for relocation benefits.
Onsite: This role is categorized as onsite. This means the successful candidate is expected to report at the listed location on a full-time basis.
The Role:
Enter into a Press Manufacturing Engineer Development Program for 2 years to prepare for the position of Press Manufacturing Engineer. In this 2-year development program you will learn the mechanics of our presses and how to maintain / repair them. You will then lead team members & group leaders to maintain & repair the presses as well as improve the equipment & processes with innovative ideas. In this role, you will work to optimize the safety & quality of maintaining our presses to maintain & improve performance and reliability of our equipment.
This role is planned to be predominately a day shift role, but in times of need for equipment repairs, training others or assisting with management of people on other shifts will be required at times. The position will require long hours mainly in the times of equipment failures to repair the equipment.
You will partner closely with plant trades people, plant leaders, headquarters press engineering group, suppliers, & controls engineers to problems solve, find improved solutions & implement read across solutions from other facilities. This role requires strong technical judgment, hands-on problem solving.
What You’ll Do:
Required Qualifications:
Preferred Qualifications:
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.
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.
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 Sr Web Software Engineer role, you will lead and develop the web frontend of 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 web applications, 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)
Compensation: The compensation information 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.
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]]>The Program Management Intern will support Program and Studio Management within GMNA Design through process documentation, continuous improvement, and coordination activities. This developmental role will help maintain and evolve the Program Management milestone checklist and related templates, forums, and reference materials that enable consistent execution across Program and Studio Management. Working with Program Managers, Assistant Program Managers, studio partners, and other stakeholders, the intern will document current-state workflows, identify improvement opportunities, and help develop practical, repeatable ways of working.
The Team:
Program and Studio Management, together with Cross Vehicle Program Management, helps GMNA Design teams coordinate work, align to vehicle program milestones, and execute consistently across studios. The team connects people, processes, and information across Design and partner functions to support program readiness, clear ownership, and continuous improvement.
What You’ll Do:
· Maintain and improve the Program Management milestone checklist by clarifying requirements, ownership, and usability for Program Managers and Assistant Program Managers.
· Work with stakeholders to understand and document workflows, handoffs, inputs, outputs, dependencies, and decision points.
· Create clear process maps, workflow diagrams, standard work, and supporting reference materials.
· Identify process gaps, duplicated effort, bottlenecks, and unclear ownership, then support practical future-state recommendations.
· Organize information from meetings and working sessions while maintaining action logs, decision logs, open items, and follow-up activities.
· Support updates to templates, gate-readiness materials, review tools, and status presentations used in continuous improvement activities.
Your Skills & Abilities (Required Qualifications):
· Pursuit of a Bachelor’s or graduate degree in business, engineering, operations, industrial engineering, information systems, design, 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 organizational, analytical, written, and verbal communication skills.
· Ability to ask effective questions, listen carefully, and synthesize information from multiple stakeholders.
· Ability to organize ambiguous or evolving information into clear, structured outputs.
· Working knowledge of Google Workspace.
· Ability to manage multiple assignments, meet commitments, and work effectively in a collaborative environment.
· Strong attention to detail and willingness to follow through on open items.
What will give you a Competitive Edge (Preferred Qualifications):
· Exposure to process improvement, business analysis, project management, operations, or organizational effectiveness.
· Experience creating flowcharts, swimlane diagrams, standard work, or other process documentation.
· Familiarity with continuous improvement concepts, including clarifying ownership and reducing unnecessary work.
· Experience supporting interviews, workshops, or working sessions.
· Experience with productivity, visualization, or process-mapping tools.
· Familiarity with automotive design, product development, or other complex program environments.
GM does not provide immigration-related sponsorship for this role. Do not apply for this role if you will need GM immigration sponsorship now or in the future. This includes direct company sponsorship, entry of GM as the immigration employer of record on a government form, and any work authorization requiring a written submission or other immigration support from the company (e.g., H1-B, OPT, STEM OPT, CPT, TN, J-1, etc.)
Work Arrangement:
Onsite: This role is categorized as onsite. This means the successful candidate is expected to report to the GM Global Technical Center in Warren, Michigan, 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.
]]>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 Senior Suspension Design Release Engineer or a Design Release Engineer who will be owning performance damper and suspension hardware for high-performance vehicles. This role combines deep damper technology expertise, strong suspension design skills, and vehicle dynamics knowledge to deliver best-in-class ride, handling, and track performance.
Own design, release, and lifecycle of performance dampers and related suspension hardware for assigned programs.
Define damper specifications (force–velocity targets, tuning ranges, durability/NVH requirements) aligned to vehicle ride and handling targets.
Integrate dampers into the suspension system, ensuring robust packaging, mounting, travel management, and compatibility with springs, bushings, and anti-roll systems.
Partner with vehicle dynamics to translate attribute targets into hardware specs and support ride/handling and track development trips.
Plan and execute validation (damper dyno, K&C, rig testing, vehicle-level durability and performance).
Lead technical interface with suppliers on damper design, innovation, quality, timing, and cost.
Maintain core DRE documents: drawings/3D models, DFMEA, BOM, DVP&R, and issue tracking; drive timely resolution of issues and engineering changes.
Senior Design Release Engineer (Level 7)
Bachelor’s degree in Mechanical, Automotive, or related engineering field.
5+ years experience in vehicle suspension design
Relevant experience in suspension/damper engineering with direct design/release responsibility.
Strong knowledge of damper design and technology (internal architecture, valving concepts, friction, durability, NVH).
Solid background in suspension design and vehicle dynamics (kinematics/compliance, spring–damper matching, ride/handling fundamentals).
Experience with damper and suspension testing (dyno, K&C, rigs, vehicle evaluations) and related analysis tools.
Proven ability to manage timing, cost, and quality in a cross-functional program environment.
Clear, concise technical communication and effective collaboration with internal teams and suppliers.
Design Release Engineer (Level 6)
Bachelor’s degree in Mechanical, Automotive, or related engineering field.
3+ years experience in vehicle suspension design
Relevant experience in suspension/damper engineering with direct design/release responsibility.
Strong knowledge of damper design and technology (internal architecture, valving concepts, friction, durability, NVH).
Solid background in suspension design and vehicle dynamics (kinematics/compliance, spring–damper matching, ride/handling fundamentals).
Experience with damper and suspension testing (dyno, K&C, rigs, vehicle evaluations) and related analysis tools.
Proven ability to manage timing, cost, and quality in a cross-functional program environment.
Clear, concise technical communication and effective collaboration with internal teams and suppliers.
Experience on performance or track-focused vehicle programs.
Exposure to electronically controlled or semi-active dampers and chassis control systems.
Master’s degree in a relevant engineering discipline.
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.
]]>The Supplier Quality Engineer (SQE) will be the technical liaison between GM purchasing, product engineering, manufacturing, and our supply base. In this role, the Supplier Quality Engineer will work with suppliers to resolve supplier manufacturing and quality issues, implement, and monitor advanced quality planning systems, and provide technical support throughout the lifecycle of a commodity and/or component.
What You'll Do:
Your Skills & Abilities (Qualifications):
What Will Give You a Competitive Edge (Preferred Qualifications):
Proyectos en los que puede participar
Horario de práctica:
6am a 2pm, de Lunes a Viernes
]]>
Introduction: In our pursuit to create a world with Zero Crashes, Zero Emissions, and Zero Congestion, GM’s global manufacturing engineering team is challenging the limits on what is possible and embracing agility as it reimagines how to build the next generation of vehicles. Our diverse team of manufacturing engineers play a crucial role in transforming our facilities through implementing the adoption of ground-breaking technologies. From raw sheet metal to final assembly, this team is reinventing the tools and processes that will enable GM to deliver on our promise to create an all-electric future.
Role Summary:
If you are interested in understanding the future of General Motors Propulsion products – engines, transmissions, and electric drive unit systems – GAIC (Global Artisan Innovation Center) GPS Scheduling has a place for you! This role is a “cross-functional” Leader role. Seeking a Scheduling Lead to own build scheduling, capacity planning, forecasting, and operating cadence for Assembly, Machining, and related laboratory and manufacturing activity. This role turns vehicle and dyno plans into executable schedules, leads cross-functional reviews, resolves priorities and escalations, maintains key business systems, and supports the people, safety, quality, and cost processes that keep the team running. Candidate will lead a diverse group of team members (contract, salary, third-party.)
(This role is on-site Daily)
Key Responsibilities :
Preferred Skills:
Required
Education: Bachelor’s degree in business/engineering related curriculum.
On Site:
This role is categorized as onsite. This means the successful candidate is expected to report to GM Pontiac Engineering Center, Building C on a full-time basis.
]]>General Motors is undergoing a major transformation, both in how we operate and in how we will influence the future of transportation. Our Software Services team is on the forefront of this work, emboldening our culture by seeking out determined, innovative individuals who will join our team to help move us forward and achieve our mission.
The General Motors Global IT Organization is seeking to identify highly motivated and qualified individuals for potential future opportunities as a Staff Systems Configurator – SAP Functional Analyst (Level 8 individual contributor) to design, configure, and support SAP solutions that enable our end-to-end value chain across:
Source-to-Deliver / Source-to-Pay (Supply Chain & Direct Material Sourcing and Procurement for Automotive)
Make-to-Ship (Manufacturing & Plant Operations)
Order-to-Delivery (Order Management & Distribution)
This requisition is intentionally broad across SAP specialties, including but not limited to SD, FI-CO, MM, PP, WM, EWM, Ariba Direct Material Sourcing and Procurement for Automotive, and S/4HANA. You do not need experience in all of the areas listed; we are seeking strong SAP talent across one or more of these modules and encourage candidates to apply even if their expertise is focused in specific domains.
This role is scoped as a Level 8 expert individual contributor in the Systems Configurator job family, leading complex, multi-team SAP initiatives and setting functional direction in partnership with Senior (Level 7) Systems Configurators.
Location: Warren, MI or Austin, TX
The Role
As an SAP Functional Analyst, you will collaborate with cross-functional teams in Product Lifecycle Management, Global Purchasing & Supply Chain (GPSC), Manufacturing, Logistics, and Order Management to gather requirements and to design, configure, and support SAP solutions that meet business needs across the Source-to-Deliver, Make-to-Ship, and Order-to-Delivery spaces.
You will implement scalable SAP processes, ensure solutions align with industry best practices and GM’s IT Solution Delivery Methodology, optimize business operations, support and extend SAP modules, drive process improvements through automation and standardization, and help design and build new SAP-based landscapes that transform how work is done today. At the staff level, you will also own the functional roadmap for your domains, lead design decisions that span multiple product teams, and act as the primary advisor to leaders on SAP capability and process strategy.
You will:
Translate business needs into robust, integrated SAP configurations and functional designs.
Optimize business operations in areas such as Order Management, Pricing, Billing, Supply Chain, Logistics, Direct Material Sourcing & Procurement, Purchasing, Production Planning & Execution, Warehousing, and Master Data.
Support GM’s journey to S/4HANA and SaaS-first solutions, helping rationalize and modernize the SAP and surrounding application landscape.
Define and champion SAP configuration standards, patterns, and guardrails for Senior (Level 7) and mid-level Systems Configurators across your functional domains.
Provide final functional sign-off for high-risk or high-impact changes, balancing stability, scalability, and speed of delivery.
What You’ll Do
Lead SAP configuration and solution design for core business processes such as Order to Cash, Procure to Pay, Production Planning & Execution, and related workflows. This includes ownership of complex, cross-functional initiatives that span multiple SAP products, regions, or business units.
Oversee financial postings, cost allocations, and supplier collaboration as they relate to your SAP functional domains.
Support sourcing, procurement, supplier management, production planning, logistics, inventory control, warehouse management, and goods movement processes.
Collaborate with business stakeholders, analysts, and technical teams to gather requirements and deliver SAP solutions that are scalable, secure, and aligned with GM standards. Influence prioritization and trade-offs across teams to ensure solutions advance key GM objectives, not just local optimizations.
Participate in testing, validation, and deployment of SAP enhancements and new functionalities; ensure strong end-to-end process validation. Drive the overall test strategy for your domains and ensure appropriate use of automation and regression testing.
Support integration of SAP with external systems, partnering with integration and infrastructure teams.
Help evaluate and rationalize the existing manufacturing, supply chain, and order management application landscape, determining which solutions are integrated with, absorbed into, or retired in favor of SAP S/4HANA and related SAP SaaS solutions.
Participate in SAP upgrades, migrations, and digital transformation initiatives, including S/4HANA and cloud/SaaS adoption. Serve as a key decision-maker on fit-to-standard vs. extension, aligned with GM’s clean core strategy.
Apply standard SAP functionality to meet business needs, minimizing custom development while still addressing critical gaps via RICEFW objects.
Contribute to application management and production support, including issue triage, root-cause analysis, and continuous improvement in your functional areas. Act as the top functional escalation point for complex incidents and systemic issues.
Create and maintain process documentation, configuration guides, and training materials to support adoption and reuse.
Mentor junior team members and promote best practices in SAP solution delivery, testing, and operations. Systematically coach Senior Systems Configurators and other team members, building depth and succession in critical SAP domains.
Adhere to organizational IT standards, security protocols, and industry best practices, including relevant regulatory and internal control requirements. Proactively identify control gaps and drive remediation in partnership with Risk, Compliance, and Audit teams.
Your Skills & Abilities (Required Qualifications)
Bachelor’s degree in a relevant field (e.g., Computer Science, Information Technology, Engineering, Business Computing, Information Systems, Supply Chain) or equivalent experience.
Extensive hands-on SAP experience, including configuration of one or more relevant modules, for example:
SD Order Management, Pricing, Billing, Order-to-Cash.
FI-CO integration with Supply Chain, Manufacturing, or Order Management.
MM, WM, EWM procurement, inventory, warehouse, and logistics execution.
PP / Manufacturing production planning and execution, plan-to-produce.
DMe/DMC SAP Digital Manufacturing or other digital manufacturing solutions, and integration with plant-floor and logistics systems.
Ariba Direct Material Sourcing and Procurement for Automotive.
S/4HANA functional configuration and extensibility.
Proven track record leading end-to-end SAP solution delivery for complex programs (e.g., multi-release roadmaps, large deployments, S/4 migrations, or significant new capability introductions).
Strong understanding of SAP principles and extensibility approaches, including how to design upgrade-safe, cloud-compliant solutions.
Solid business process knowledge in areas such as Order Management, Pricing, Billing, Supply Chain, Logistics, Direct Material Sourcing & Procurement, Purchasing, Production Planning, Warehousing, and Master Data.
Experience supporting integration with other SAP modules and external systems, including familiarity with common interface technologies (e.g., IDocs, APIs, middleware).
Familiarity with software testing, automation, and quality assurance practices; ability to define and execute test plans and support automated/regression testing.
Ability to debug and analyze SAP systems, preferably with some ABAP knowledge to support issue analysis and collaboration with development teams.
Demonstrated analytical and problem-solving skills, with a structured approach to diagnosing issues and proposing options.
Strong commitment to continuous improvement, teamwork, and integrity, including willingness to learn new SAP and cloud capabilities.
Ability to set direction for a functional area, influence architecture and product roadmaps, and make sound trade-off decisions.
What Will Give You a Competitive Edge (Preferred Qualifications)
SAP certification in one or more relevant modules (e.g., SD, MM, PP, WM/EWM, FI-CO, Ariba, S/4HANA).
Experience with SAP Automotive Suite or similar industry-specific solutions supporting OEMs, suppliers, or complex manufacturing.
Familiarity with the SAP Integrated Tool Chain – including Signavio (process modeling), SAP Cloud ALM (CALM), and Tricentis (Tosca) – as well as SAP Fiori and SAP BTP, especially for cloud-based SAP extensions and integrations.
Exposure to SAP AI / analytics capabilities and apply analytics/AI in manufacturing, supply chain, or order management use cases.
Experience with EDI transaction sets (ANSI X12, EDIFACT) and related communication protocols, and/or other integration platforms (e.g., SAP PI/PO, SAP Integration Suite, Sterling, Connect Direct).
Background working with manufacturers, suppliers, or service providers, ideally in automotive or complex discrete manufacturing environments.
Prior consulting experience or working with global stakeholder groups, including experience in regulated environments (e.g., SOX, internal controls, legal/tax requirements).
Demonstrated ability to represent your functional area in senior-level forums (e.g., steering committees, enterprise design councils) and to influence outcomes across organizations without direct authority.
Hybrid
This role is categorized as hybrid. The successful candidate is expected to report to Warren, MI or Austin, TX, three times per week, at minimum, or as dictated by business needs.
Hybrid: This role is categorized as hybrid. This means the successful candidate is expected to report to Austin TX IT Innovation Center or Warren Michigan GM Technical Center 3-4 days per week (T-W-Th)
The Role
We are seeking a highly skilled Senior Software Engineer to join our digital commerce engineering team, with a primary focus on React-based front-end development, Shopify commerce experiences, and digital customer experience optimization.
This role will help design, build, and evolve the customer-facing experiences that power our eCommerce platform. The ideal candidate has strong experience building scalable front-end applications using React and Shopify, and brings a strong engineering mindset around code quality, reliability, testing, CI/CD, observability, and delivery excellence. Experience working with enterprise or headless CMS platforms is a plus. Exposure to experimentation, personalization, and modern digital experience platforms is also beneficial.
As a Senior Software Engineer, you will work closely with product managers, designers, architects, and cross-functional engineering teams to deliver high-quality, scalable, and maintainable solutions that improve customer experience and speed of delivery. You will also be expected to communicate effectively with both technical and non-technical stakeholders, contribute to a collaborative team environment, and help strengthen engineering best practices across the team.
What You’ll Do
Your Skills & Abilities (Required Qualifications)
What Will Give You A Competitive Edge (Preferred Qualifications)
#LI-CK1
Gm does not provide immigration-related sponsorship for this role. Do not apply for this role if you will need gm immigration sponsorship (e.g., h-1b, tn, stem opt, etc.) Now or in the future.
GM may support relocation for this position.
Work Arrangement: This role is categorized as hybrid. This means the successful candidate is expected to report to the office three times per week, at minimum.
The Role
General Motors is seeking a highly skilled and motivated Engine Combustion & Airflow Technical Specialist to join our Engine Performance and Calibration team. This role is critical in shaping the future of internal combustion engine (ICE) technology through high-fidelity computational fluid dynamics (CFD) simulations. The ideal candidate will have deep expertise in engine airflow, gas exchange, combustion modeling, fuel injection spray, exhaust systems and emissions control, and will contribute to the design and optimization of next-generation gasoline and diesel combustion systems and airpaths.
What You'll Do
Lead the technical method development and roadmap for fuel spray, in-cylinder mixture preparation, combustion analysis, exhaust and aftertreatment systems, manifolds and boosting systems.
Own scorecards for critical hardware release metrics for combustion, airflow, exhaust systems, aftertreatment, and exhaust sensors
Design and optimize combustion chamber geometries for improved efficiency, power output, and emissions performance.
Simulate and interpret combustion processes, heat transfer, cold start behavior, and catalyst heating strategies.
Provide component-level and/or system-level design recommendations to Hardware & Calibration Technical Specialists based on interpretation of analysis results
Own and enhance current standard analysis practices and/or tools to improve prediction fidelity and/or execution speed
Lead, execute, and coordinate analysis capability development initiatives, with emphasis on an “all virtual” future
Drive testing to support the development of first-time capable analysis techniques
Stays abreast of new technology and competitive products
Lead cross-functional teams including engine design, calibration, controls, and emissions compliance.
Interface with software vendors to convey future needs and impart change
Work with leadership, development partners, and PMT Technical Specialists to identify gaps and priorities for analysis growth
Seek out state of the art tools and methods and maintain a benchmark of industry capability and trends
Lead analysis support for code red and urgent product issue resolution
Interface with other virtual groups to establish common processes
Communicate status to leadership and escalate issues/roadblocks within the organization, as necessary
Represent GM for external collaborations and conferences
Your Skills & Abilities (Required Qualifications)
10+ years’ experience with compressible CFD analysis of powertrain-related systems
MS in Mechanical Engineering, Aerospace Engineering or a related field with a focus on internal combustion engines or fluid dynamics
7+ years’ experience in CFD software (CONVERGE, STAR-CD, STAR-CCM+ or similar) for gasoline or diesel mixture preparation / combustion simulation
Highly proficient with ProStar, ICEM, Hypermesh, Tgrid, or equivalent CFD meshing software
Highly proficient with Converge, Siemens CCM+ In-Cylinder Solution, StarCD, AVL Fire, or equivalent CFD software
Highly proficient with Ensight, ProStar or equivalent CFD post-processing software
Proficient in programming (Java, MATLAB, Python), workflow automation, and customization of tools surrounding main vendor software
Strong understanding of engine combustion testing, data acquisition and analysis
Demonstrated experience leveraging machine learning, advanced statistical methods, model-based calibration and/or multi-disciplinary CAE optimization
What Will Give You A Competitive Edge (Preferred Qualifications)
PhD in Mechanical Engineering or related fields
Proficient in application of machine learning, data driven modeling techniques in context of engine simulations
Proficient with GT-Power, WAVE, AVL Boost, or equivalent 1D engine simulation software
Experience with hands-on engine testing, data acquisition and calibration tools (AVL Concerto, Indicom, ETAS)
This job may be eligible for relocation benefits
#LI-LG2
Every day, our products move millions of people as we aim to make driving safer, smarter, and more connected, shaping the future of transportation on a global scale..
Company Vehicle: Upon successful completion of a motor vehicle report review, you will be eligible to participate in a company vehicle evaluation program, through which you will be assigned a General Motors vehicle to drive and evaluate. Note: program participants are required to purchase/lease a qualifying GM vehicle every four years unless one of a limited number of exceptions applies.
The Role
As an Engineering Technical Leader (ETL) you will be a leader and expert in Interior IP, Console, Mechanisms and Decorative Trim programs with an unwavering focus on safety, quality, technical excellence, and flawless execution. You will be responsible for setting the future of the commodity while enabling disciplined delivery to all GVDP milestones while enabling beautiful design execution and achieving cost, quality, and performance targets across GM the vehicle portfolio. This role serves as a people leader for approximately 10 Design and Release Engineers (DREs) and Technical Specialists (TS), bringing strong engineering fundamentals, system thinking, and technical rigor to all interior system releases.
What You’ll Do (Responsibilities)
Program & Technical Leadership
Lead a high‑performing team of IP/Console/Deco/Mechanisms DREs across multiple programs to deliver GVDP milestones with discipline and engineering excellence.
Be the technical expert for anything related to IP/Console/Deco/Mechanisms and it’s components.
Conduct and drive technical design reviews , ensuring solutions are aligned with BOM row strategies, meet functional/performance requirements, and uphold GM engineering fundamentals.
Partner closely with other ETL’s to maintain technical coherence, design robustness, and cross‑program consistency.
Champion DFMEA quality, robust design, peer reviews, and DFSS methodology to achieve “read‑across” improvements that lift global quality.
Systems Engineering, Robustness & Issue Resolution
Drive an analytical foundation for design decisions, enabling data‑driven engineering and robustness validation.
Lead escalated technical issue resolution and partner with ETLs, TS, VSEs, Validation, and global teams to ensure timely and technically sound solutions.
Ensure smooth alignment with System Safety, GPSC, Manufacturing Engineering, Quality, and Program Leadership .
Strategic Collaboration & Innovation
Collaborate with the Design Studio , Vehicle Architecture, SMT Leadership, and Manufacturing to balance customer experience, feasibility, craftsmanship, and cost.
Support innovation and new technology introduction for IP Trim, Floor Console, and Deco/Ambient Lighting systems through supplier partnerships and enterprise technology roadmaps.
Understand and implement use of automation on Manufacturing when applicable/appropriate.
Maintain a Technology Roadmap demonstrating future direction of the commodity
Operational Excellence & Enterprise Alignment
Actively contribute to business strategic initiatives including CAE‑driven design, virtual execution, automation, faster development and enhanced supply chain.
Lead supply chain evaluation and technical assessment.
Maintain process discipline through the hardware operating system, including documentation, lessons‑learned read‑across, risk management, and disciplined engineering execution.
People Leadership
Inspire, coach, and develop DREs and technical specialists, guide career growth, talent acceleration, and technical maturity.
Foster a culture of accountability, collaboration, psychological safety, and development.
Strengthen knowledge management, drive global alignment, and build technical depth across the broader team.
What You’ll Need (Required Qualifications)
Bachelor of Science in Engineering
15+ years of automotive engineering experience, preferably in Instrument Panel, Deco and Floor Console development with demonstrated levels of outstanding performance.
Demonstrated sub-system expertise in injection molded trim, foam-in-place, thermoformed skins, and cut and sew wrapping of substrates.
Detailed knowledge of Instrument Panel, Decorative Trim, and Floor Console performance requirements including applicable regulations and best practices.
Demonstrated early product development to launch expertise and capability.
Thorough understanding of Instrument Panel, Floor Console system requirements and potential vehicle trade-offs
Demonstrated expertise in component/subsystem design and development , with strong proficiency in design execution, engineering fundamentals, and vehicle integration.
Proven people leadership skills with ability to motivate, develop, and manage engineering talent.
Strong cross‑functional communication skills, with ability to explain complex technical topics across SMTs and global teams.
Demonstrated ability to manage ambiguity , make timely decisions, and drive program alignment.
Success working with global counterparts and balancing diverse regional requirements.
Ability to manage multiple priorities with composure, discipline, and executional excellence.
What Will Give You a Competitive Edge (Preferred Qualifications)
Master of Science – Engineering
Master of Business Administration (MBA)
DFSS Green Belt and Black Belt
Previous experience in IP, Console, Decorative Trim or Interiors engineering leadership roles
Experience partnering with Technical Leaders and Technical Specialists to drive system‑level engineering excellence
Demonstrated ability to lead cross‑program technical strategy, quality read‑across, and enterprise alignment
Recognized technical knowledge through patents and recognitions from forums of expertise
#LI-KM2
]]>This role is categorized as on-site. This means the successful candidate is expected to be physically located at PATAC, collaborate with the JV, and report to GM in Shanghai, China full time.
What You’ll Do -
1. Total Vehicle Experience & Product Strategy
2. Intelligent Cockpit & ADAS Portfolio Leadership
3. Software, Digital, and AI Execution
4. Connectivity, Services & Shanghai OnStar
5. Enterprise & IT / Digital Foundations (China Scope)
6. Joint‑Venture Governance & Stakeholder Leadership
7. Organization, Talent, and Ways of Working
8. SGM Enterprise Leadership – Supports
9. Leadership Competencies
At General Motors, our product teams are redefining mobility. Through a human-centered design process, we create vehicles and experiences that are designed not just to be seen, but to be felt. We’re turning today’s impossible into tomorrow’s standard —from breakthrough hardware and battery systems to intuitive design, intelligent software, and next-generation safety and entertainment features. Every day, our products move millions of people as we aim to make driving safer, smarter, and more connected, shaping the future of transportation on a global scale.
We are looking for a Principal Technical Lead Manager (TLM) to lead the Trajectory Generation team within the Embodied AI organization. This role combines deep technical leadership in machine learning and robotics with people leadership and organizational impact. Trajectory generation is one of the most critical components of an autonomous driving system. It is responsible for producing the precise vehicle motion plans that determine how the car moves through the world — lane changes, merges, turns, yielding, obstacle avoidance, and complex interactions with other road users. Every decision ultimately manifests as a trajectory executed by the vehicle.
As the leader of this team, you will shape the algorithms and ML systems that translate sensor inputs into safe, smooth, and human-like driving behavior across diverse real-world scenarios. You will lead a high-performing team of engineers building ML-driven trajectory generation systems, and drive the roadmap that takes these models from research to production deployment on vehicles. This role requires someone who can set technical direction, mentor senior engineers, and lead large cross-functional initiatives, while remaining deeply involved in the technical architecture and modeling strategies.
What You'll Do:
Define and drive the technical vision and architecture for trajectory generation systems used in autonomous driving.
Lead the development of ML-based trajectory generation models capable of handling complex and dynamic driving environments.
Architect scalable training pipelines using large-scale driving datasets and simulation environments.
Guide the integration of trajectory generation models into real-time onboard systems with strict latency and safety requirements.
Influence the design of next-generation embodied AI architectures for driving.
Mentor senior engineers and help develop the next generation of technical leaders.
Raise the bar for engineering excellence, modeling rigor, and production-quality systems.
Foster a culture of innovation, ownership, and collaborative problem solving.
Lead complex technical initiatives spanning multiple teams across the autonomous driving stack.
Collaborate closely with teams working on: data, perception, simulation, safety validation, onboard systems.
Define roadmaps and priorities aligned with product milestones and safety goals.
Drive solutions from research prototypes through production deployment.
Your Skills & Abilities:
MS or PhD in Computer Science, Robotics, Machine Learning, or related field.
Experience leading technical teams delivering production ML systems.
Deep expertise in one or more areas: robotics planning and control, imitation learning or reinforcement learning, generative models, large-scale machine learning systems
Strong software engineering skills (Python, C++, or similar).
Experience deploying ML models into real-world or safety-critical environments.
Demonstrated ability to define architecture and drive large technical initiatives across teams.
Preferred Qualifications
Experience with autonomous driving, robotics, or embodied AI systems.
Background in trajectory planning, motion planning, or behavior modeling.
Experience with large-scale training infrastructure and distributed ML pipelines.
Experience with simulation-based training or evaluation of driving policies.
Remote/Hybrid: This role is based remotely but if you live within a 50-mile radius of Austin, Detroit, Warren, Milford or Mountain View, you are expected to report to that location three times per week, at minimum.
Compensation: The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of the California Bay Area.
Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.
Relocation: This job may be eligible for relocation benefits.
Company Vehicle: Upon successful completion of a motor vehicle report review, you will be eligible to participate in a company vehicle evaluation program, through which you will be assigned a General Motors vehicle to drive and evaluate. Note: program participants are required to purchase/lease a qualifying GM vehicle every four years unless one of a limited number of exceptions applies.
#LI-CX1
#GM-AV-1
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.
]]>The Role
The Senior Product Cybersecurity Engineer, Secure Product Architecture role sits within the broader Product Cybersecurity organization at General Motors and focuses on the security design that protects how in-vehicle systems communicate, spanning message authentication, in-vehicle firewalls, and in-vehicle Ethernet security. This engineer acts as a security design owner for in-vehicle communications, translating threat assessments and architectural decisions into clear, actionable security requirements that engineering and supplier teams can implement across current and next-generation software-defined vehicle platforms.
What You’ll Do
Own and evolve the security design for in-vehicle communications, including message authentication (SecOC), in-vehicle firewalls, and in-vehicle Ethernet security.
Translate threat assessments and architectural decisions into clear, testable security requirements that engineering and supplier teams can implement.
Right-size requirements against supplier and platform capability, adjusting scope where requirements are not achievable rather than carrying them forward.
Lead and support security design and implementation reviews across internal teams and suppliers to ensure security controls are deployed correctly.
Keep the security design and its specifications current with software-defined vehicle delivery timelines and platform changes.
Serve as a subject-matter expert for in-vehicle communications security and build self-service references so the broader team can scale.
Your Skills & Abilities (Required Qualifications)
6+ years of experience in product, embedded, or vehicle cybersecurity, with hands-on ownership of security design and requirements.
Strong working knowledge of in-vehicle communications security, including message authentication, firewalls, and automotive Ethernet.
Solid understanding of embedded security principles such as secure communication, key and certificate lifecycle management, replay/freshness protection, and secure provisioning.
Experience owning security design and translating it into technical requirements and specifications for internal teams and suppliers across the development lifecycle.
Demonstrated ability to lead security design and implementation reviews and align stakeholders across engineering, validation, and supplier teams.
Bachelor’s or master’s degree in Computer Science, Computer Engineering, Electrical Engineering, Cybersecurity, or equivalent practical experience.
What Will Give You A Competitive Edge (Preferred Qualifications)
Experience with software-defined vehicle architectures and service-based in-vehicle communication.
Experience working across supplier-delivered ECU, firewall, and secure firmware ecosystems.
Experience with AUTOSAR SecOC, Freshness Value Management (FVM), Automotive Ethernet (SOME/IP, DoIP, TLS), CAN/CAN-FD, and UDS (ISO 14229) security services.
Prior embedded development experience with programming languages such as C, C++, Java, or Python.
Prior role(s) in the automotive industry or a similarly complex, deadline-driven, and regulated field.
Familiarity with the threat assessment (TARA) process and translating threat outputs into security requirements.
What You’ll Bring
Deep ownership instinct — you drive requirements and blocked items to closure rather than waiting for others.
A pragmatic approach that balances security rigor against real supplier capability and vehicle program timing.
Clear technical judgment on risk and how security requirements should be specified and implemented.
Strong communication skills and a habit of packaging knowledge so teams can scale without depending on a single expert.
A collaborative mindset that helps engineers build security early rather than reviewing from the outside.
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
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.
We are seeking a highly skilled and experienced Senior Software Engineer to join our Continuous Integration Continuous Deployment (CICD) and Embedded Software Development Tools Group. As a Senior Software Engineer specializing in DevOps and configuration management, you will play a crucial role in supporting our OPTIMUS platform with build and test capabilities to support GM’s embedded software production. OPTIMUS is a cloud-based platform which provides integrated virtual workspaces, integration with test environments, and continuous visibility into software quality.
What You’ll Do:
Your Skills and Abilities (Required Qualifications):
Hybrid: This role is categorized as hybrid. This means the successful candidate is expected to report to Milford, Michigan three times per week, at minimum.
The Role:
GM is undergoing a major transformation—reimagining how we operate and shaping the future of transportation through electrification, autonomous technology, and software-defined vehicles (SDVs). At the heart of this transformation is our Vehicle Mechatronics Embedded Controls (VMEC) team, leading the charge with high-impact innovation and cutting-edge software development. VMEC Battery and High Voltage Agile Release Train (BHV ART) is responsible for end-to-end High Voltage Battery Systems Controls and Software products for all GM EV and (P)HEV. We are a highly capable engineering team that focuses on delivering products with quality, scalability, agility and customer value added excellence; and we continue to grow, innovate & excel together as one team.
We are looking for a high performing Functional System Architect (FSA) to steer architectural vision and solution context for the BHV ART. Your seasoned expertise in the electrification domain will fuel the design and evolution of software components such as high voltage contactor controls, energy management, battery state estimation, wireless and wired sensing, and vehicular diagnostics, ensuring seamless integration and interaction with the hardware components within the automotive embedded domain.
What You’ll Do:
Own the vision:
Own and understand the solution context, acting as the “Chief Architect” for the functional subsystems of the ART.
Develop and drive the requirements architectural vision and ART Solution context for BHV ART, connecting desired functionality to software implementation.
Champion rolldown from FTS, STS, Portfolio Epic, Product Team as applicable and create requirements architecture for designated domain.
Ensure seamless integration and interaction between ART solutions and hardware components within the designated domain.
Lead contact DRI for BHV Engineering Pillar of the High Voltage Product Team.
Define the ART functional architecture vision and feature / epic decomposition in collaboration with the Product Team members (Product Manager, Program Manager, System Engineer, Technical Specialists). Contribute to refining the priority of work for the engineering teams.
Define the solution context including supporting technologies, solution interfaces, APIs, current and future deployment requirements, and functional and non-functional requirements
Lead and Prioritization of TFRP roadmap with Systems Engineering organization & Product Team
Pursue and support innovation opportunities in domain of responsibility.
Own the FMEA cross functional linkage
Develop/approve system architecture requirements, models, and diagrams; spearhead architecture level development and testing.
Oversee life cycle engineering activities, work with requirements engineers at program initiation, and ensure consistency and traceability of system requirements.
Ensure validation strategies are robust, cost-effective, and in compliance with quality requirements.
Lead technical solutions discussions, product demonstrations, and report out to leadership
Disseminate the vision:
Guide the dispersion of requirements work with SSLEs in accordance with scrum responsibility and technical ownership.
Lead, mentor, and coach SSLEs in developing requirements.
Support SSTS technical requirements development and BTS behavioral (G/W/T) requirements development according to the BDD process.
Collaborate with Global Technical Specialists, SSLEs, Cal TS, Diagnostic System Architects and Software Architects to flow down requirements architecture to ART features. FSA to enable story creation so they are implemented and deployed.
Provide technical direction and guidance to agile teams throughout all phases of ART processes
Support the vision:
Subject Matter Expert for the requirements architecture and resource for the ART for domain of responsibility.
Offer technical guidance for SSLEs and Development Scrums including support of Model-Based System Engineering requirement management, associated tool chains, diagnostic development, FMEA development, and acceptance criteria definitions.
Attend key ART and scrum meetings as a part of agile software development.
Support in building Sub-System/Solution level requirements and validating system performance against these requirements.
Collaborate with Product Team to review and update backlog of work, determine technical feasibility, and work estimate sizing/workload estimation
Support resolution of critical functional, regulatory, compliance, and customer satisfaction issues that impact architecture.
Facilitate the closure of PRTS’s related to requirements.
Actively participate in Communities of Practice (CoP).
Offer technical guidance for the area of expertise, execute Epics, help resolve/close PRTSs, share lessons learned/best practices, and capture IP/ROI’s/etc.
Your Skills & Abilities (Required Qualifications) :
Bachelor’s degree in computer engineering, Computer Science, Electrical Engineering, electronics, automotive, Mechanical Engineering, or a related field required.
7+ years of engineering experience related to embedded control systems, software, electrification, calibration, related hardware, and/or safety critical system development, system engineering.
Good understanding of software development process and best practices.
Experience with requirements development and automotive system engineering and architecture.
Experience in Electrification domains.
Proficiency in embedded controls and software architecture and design trade-offs.
High level of interpersonal skills to work independently and effectively with others.
Ability to think critically and provide effective solution to complex issue.
Ability to prioritize work with only limited direction from manager.
Ability to train/mentor others.
High level of oral and written communication skills. Ability to communicate intent to leadership and technical details to executing teams.
Skills to work cooperatively/collaboratively with adjacent teams such as Architecture, Controls, Software, and Hardware teams, both within and outside the home organization.
What Will Give You A Competitive Edge (Preferred Qualifications) :
Advanced degree (Masters or PhD) in Engineering with a focus on Controls/Electrical Engineering/Computer Science.
10+ years of engineering experience related to embedded control systems, software, electrification, calibration, related hardware, and/or safety critical system development, system engineering.
Experience successfully leading activities/projects with high levels of ambiguity.
Proficiency in SAFe/Agile processes, showcasing a balanced approach to project management and execution in a multifaceted, cross-functional environment.
Experience with Requirements management tools (i.e. GitHub, DNG, Doors).
2+ years’ experience in embedded controls and software.
Familiarity with SDV Architecture.
Demonstrated ability to: achieve results through effective teamwork, lead projects with different focal areas to successful completion, and manage and measure work through metrics, data, and results.
Deep familiarity and understanding with embedded software, systems engineering, mechatronic architecture, testing automation frameworks and/or build deployment.
Working knowledge of embedded controls development tool set – (e.g. Jira/Jira Cloud, GIT ecosystem, INCA, etc. ).
Working experience leveraging data & AI tools in problem solving.
Strong leadership, proactiveness and growth mindset.
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
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.
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.
]]>What You’ll Do
Required Qualifications
Preferred Qualifications
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
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:
Our team is seeking a strongly motivated candidate to be a Thermal Calibration Engineer, in the EV Thermal Calibration team. In this role, this person will be a technical interface between calibration team members, calibration technical specialists, software, and program teams. The selected candidate will also have ownership of delivering high-quality calibrations for selected BEV3/BET programs.
What you’ll do:
Your Skills & Abilities (Required Qualifications)
What Will Give You A Competitive Edge (Preferred Skills)
At General Motors, our product teams are redefining mobility. Through a human-centered design process, we create vehicles and experiences that are designed not just to be seen, but to be felt. We’re turning today’s impossible into tomorrow’s standard —from breakthrough hardware and battery systems to intuitive design, intelligent software, and next-generation safety and entertainment features.
Every day, our products move millions of people as we aim to make driving safer, smarter, and more connected, shaping the future of transportation on a global scale.
About the Role:
This person will manage a large group of Interior Engineering Designers and DLTs/Design TSs with similar functional responsibilities for Design deliverables in support of projects and programs within the Instrument Panel and Floor Console (IPFC) Design group.
They will be responsible for staffing, communicating, training and development, directing and prioritization of work, evaluating performance and removing roadblocks. They will also provide technical leadership and guide the team to successful execution of vehicle programs with strong technical solutions. They will help develop processes, standards, or operational plans in support of the organization's business strategies with a direct impact on business and/or function overall results and influence others within the organization to accept new concepts, practices, and approaches. They will promote GM's values and makes customer-focused decisions, proactively lead, guided, and direct a group of technical employees responsible for Design deliverables in support of the organization's business objectives as well as manage math development process.
What You'll Do (Responsibilities):
Your Skills & Abilities (Required Qualifications):
What Can Give You a Competitive Edge (Preferred Qualifications):
#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
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:
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.
#LI-MJ1
]]>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.
Nosso compromisso é claro:
Zero acidente. Zero emissão. Zero congestionamento.
Se você quer aprender, se desenvolver e fazer parte de um ambiente inovador, colaborativo e diverso, o Programa de Estágio GM é para você!
Buscamos estudantes do penúltimo ou último ano dos cursos Bacharel ou Tecnólogo , com formação prevista entre dezembro de 2028 ou julho de 2029 nas áreas:
📌 Importante: inclua seu currículo atualizado no momento da inscrição.
Você poderá atuar em diferentes frentes estratégicas da GM, como:
📍 Localidades
Temos oportunidades em localidades como:
Aqui, seu aprendizado é prioridade. Você contará com:
Every day, our products move millions of people as we aim to make driving safer, smarter, and more connected, shaping the future of transportation on a global scale.
The Role
The Manufacturing Systems Integration Engineer serves as the lead General Assembly (GA) integration resource within Advanced Vehicle Development, responsible for defining, communicating, and driving adherence to General Assembly manufacturing strategies across new vehicle programs.
This role leads the integration of manufacturing systems from program inception through post-Contract Sign Off (CSO), ensuring alignment between product design, manufacturing processes, facility strategy, capital investment, automation, and program timing. The successful candidate will solve complex manufacturing challenges, drive cross-functional issue resolution, maintain the Plan for Every Site (PFES), and provide strategic direction that delivers the safest, highest quality, and most cost-effective manufacturing solutions.
The position requires strong technical leadership, manufacturing expertise, and the ability to influence cross-functional stakeholders while supporting key milestones from pre-DSI through Contract Sign Off (CSO).
What You’ll Do
Manufacturing Strategy & Systems Integration
Lead the development, integration, and execution of General Assembly manufacturing systems for new vehicle programs from pre-DSI through CSO.
Develop and communicate program-specific manufacturing strategies that align product, process, timing, and investment objectives.
Lead the development and ongoing maintenance of the Plan for Every Site (PFES).
Evaluate and respond to Manufacturing Planning Studies (MPS) and Manufacturing Studies (MS) with comprehensive, data-driven recommendations.
Establish strategic manufacturing direction and processing concepts for assigned vehicle programs.
Program Leadership & Optimization
Drive manufacturing solutions that balance investment, piece cost, labor, floor space, quality, safety, and launch timing.
Develop lean investment targets and total cost optimization strategies across vehicle architectures.
Evaluate and implement advanced manufacturing technologies, automation, and vision systems where appropriate.
Lead program timing development and establish critical integration milestones to ensure successful execution.
Cross-Functional Collaboration
Coordinate with engineering, manufacturing, automation, controls, paint, processing, execution, installation, and launch teams to ensure aligned program decisions.
Partner with organizations outside General Assembly to develop integrated manufacturing solutions across the vehicle manufacturing system.
Remove organizational barriers and resolve escalated issues impacting program success.
Serve as the primary technical liaison between General Assembly and associated functional organizations.
Problem Solving & Continuous Improvement
Lead root cause investigations for complex manufacturing and integration issues through resolution.
Utilize analytical and systems-thinking approaches to evaluate manufacturing risks and opportunities.
Drive continuous improvement initiatives focused on safety, quality, efficiency, and cost reduction.
Apply creativity, technical expertise, and independent judgment to solve highly complex manufacturing challenges.
Stakeholder Engagement
Present manufacturing strategies, recommendations, risks, and program status to leadership at all levels.
Influence decision-making through clear communication and technical expertise.
Facilitate alignment among cross-functional teams, program leadership, and manufacturing stakeholders.
Your Skills & Abilities (Required Qualifications)
Bachelor's degree
General Assembly manufacturing experience including process development, equipment design, integration, installation, program execution, and vehicle launch.
Experience working within a manufacturing plant environment
Demonstrated expertise in General Assembly manufacturing processes and systems.
Experience leading complex vehicle program integration efforts from development through launch.
Strong understanding of manufacturing systems, automation, tooling, and assembly processes.
Proven ability to lead and influence cross-functional teams and drive issue resolution across multiple organizations.
Exceptional analytical and problem-solving skills, with the ability to solve highly complex and ambiguous challenges.
Strong interpersonal, communication, negotiation, and stakeholder management skills.
Ability to effectively present technical and business recommendations to all leadership levels.
Experience managing multiple high-priority assignments in a fast-paced environment.
Working knowledge of the Global Vehicle Development Process (GVDP), including process deliverables, product milestones, and organizational interfaces.
Ability to travel as required.
What Can Give You a Competitive Edge (Preferred Qualifications)
8+ years of General Assembly manufacturing experience, including process development, equipment design, integration, installation, program execution, and vehicle launch.
Manufacturing launch experience supporting new vehicle programs.
Experience with advanced manufacturing technologies, automation strategies, and vision systems.
Knowledge of vehicle development processes and program integration activities.
Master's degree in Engineering, Manufacturing, Business, or a related discipline.
Demonstrated success influencing cross-functional teams in a complex manufacturing environment.
Experience developing facility, process, and investment strategies for large-scale manufacturing programs.
Consistent demonstration of GM's core behaviors and commitment to a culture of inclusion, accountability, innovation, and continuous improvement.
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]]>The Role:
As a Summer Intern, you will contribute to aerodynamic development within GM Motorsports. Depending on team priorities and your background, your work may involve computational fluid dynamics (CFD), physical testing, automation, data processing, machine learning, or artificial intelligence applications for engineering.
The Team:
GM Motorsports is a high-performance engineering organization competing at the highest levels of global motorsport. Our programs span Cadillac Formula 1, Chevrolet NASCAR and INDYCAR, and Cadillac sports-car racing through IMSA and the LMDh program. Across these programs, our engineers develop and apply expertise in aerodynamics, vehicle performance, simulation, wind-tunnel testing, data science, software, tires, propulsion, and vehicle systems.
Motorsports is a technology test bed for GM. The methods, tools, and insights developed at the racetrack can accelerate production-vehicle engineering, while GM’s production engineering capabilities help advance race-car performance. As an intern, you will work alongside experienced engineers and technical leaders on projects that connect high-performance racing with real-world engineering innovation.
What You’ll Do:
Example assignments may include:
Develop and improve CFD workflows across CAD preparation, geometry cleanup, meshing, solver execution, post-processing, and automated reporting.
Develop tools and methods for wind-tunnel aerodynamic testing, including test planning, instrumentation, data acquisition, controls, and data processing.
Develop and validate machine-learning or surrogate models that improve aerodynamic performance prediction and flow-field inference.
Develop AI-enabled tools that improve engineering productivity, accelerate analysis, and support technical decision-making.
Work with engineers and technical leaders to define requirements, evaluate results, document methods, and communicate recommendations.
Projects will be defined by team needs and aligned with the candidate’s experience, interests, and development 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 the Milford Proving Ground in Milford, Michigan, 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.
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.
WHY: The purpose of this role is to reduce vehicle yard holds, ensure product quality, and optimize the reflash process by designing, implementing, and deploying an ECU reflash solution across our manufacturing facilities. This role will be responsible for launching a productionized solution at each site and enabling successful startup and execution.
WHAT: As a reflash solutions engineer, you will build reflash hardware and software tooling solutions to program ECUs at the bench level then take it to GM production facilities.
HOW: Design, build, and deploy end-to-end ECU flashing and embedded tooling solutions—owning the full lifecycle from bench development through plant implementation, while working directly with manufacturing teams to troubleshoot issues, refine processes, and ensure reliable execution at scale.
This role is ideal for engineers with experience in ECU flashing, vehicle diagnostics, embedded systems, or manufacturing test environments who enjoy building and deploying solutions from lab to plant.
What You’ll Do (Responsibilities):
Design and build hardware and software tooling to support programming of multiple ECUs.
Execute ECU flashing activities across GM manufacturing sites.
Collaborate with manufacturing, engineering, and suppliers to understand and improve current reflash processes.
Develop and deliver training for new team members and contractors, and create clear, standardized documentation.
Promote a safe work environment and ensure compliance with all company policies, procedures, and regulatory requirements.
Foster a forward‑thinking work culture that embraces change and proactively addresses future organizational and industry challenges.
Build and maintain strategic relationships across software, manufacturing, and program management teams to align efforts and drive future innovation.
Your Skills and Abilities (Required Qualifications):
Hands-on experience with ECUs, embedded systems, or in-vehicle software programming/flashing.
Experience designing or working with hardware/software tools used for ECU communication, diagnostics, or reprogramming.
Strong understanding of automotive communication protocols (e.g., CAN, CAN FD, Ethernet).
Experience using vehicle diagnostic and calibration tools (e.g., NeoVI, vSPY, DPS, or equivalent).
Experience developing or supporting ECU reflash or software deployment workflows (bench or vehicle-level).
Working knowledge of manufacturing and end-of-line (EOL) processes, including software flashing, validation, and issue resolution.
Proven ability to troubleshoot software, hardware, and network interaction issues in vehicle or production environments.
Experience collaborating across software, electrical engineering, and manufacturing teams to deliver integrated solutions.
Willingness to travel (up to 50%) to support deployment across GM manufacturing sites.
What Could Give You a Competitive Edge (Preferred Qualifications)
Experience developing custom reflash tooling (hardware interfaces, scripts, automation frameworks).
Familiarity with software release processes, versioning, and breakpoint management.
Experience working in vehicle assembly plants, launch environments, or manufacturing engineering.
Understanding of SDV architecture and vehicle software integration in production environments.
Experience creating standard work, technical documentation, or training materials.
Exposure to automation, scripting, or data analysis (e.g., Python, test automation, logging tools).
Bachelor’s degree in Electrical Engineering, Computer Engineering, Computer Science, or related technical field (or equivalent hands-on experience).
This role sits at the intersection of software engineering, industrial controls, manufacturing systems, and vehicle technologies. You will work closely with manufacturing, IT, controls, validation, engineering, and plant teams to develop reliable solutions, troubleshoot complex issues, and drive continuous improvements across production-critical systems.
This Role Is Ideal For
Engineers who enjoy solving complex challenges where software, controls systems, manufacturing equipment, and vehicle technologies intersect. You'll thrive in this role if you enjoy troubleshooting difficult problems, integrating diverse technologies, influencing technical direction, and seeing your work directly impact vehicle quality and manufacturing performance.
WHY
Help enable the software, controls, and validation systems that support every vehicle built across GM's global manufacturing network. Your work will directly impact vehicle quality, manufacturing uptime, issue resolution, and Electrical First Time Quality (EFTQ) by ensuring critical manufacturing systems operate reliably, efficiently, and at scale.
WHAT
As a Manufacturing Software Integration Engineer, you will develop, integrate, and support software and controls solutions that enable manufacturing validation, electrical testing, and production operations. You will serve as a technical leader across software, controls, networking, and plant systems while helping drive resolution of complex manufacturing challenges.
HOW
Partner with manufacturing, controls, IT, validation, and engineering teams to develop reliable software solutions, integrate manufacturing technologies, and solve complex production issues through technical expertise, collaboration, and continuous improvement.
Work Arrangement – Onsite
The successful candidate is expected to report to the Warren Tech Center on a full-time basis.
What You'll Do
Your Skills and Abilities (Required Qualifications)
What Will Give You a Competitive Edge (Preferred Qualifications)
Hybrid: for this position is required to be on site 3x/week
Role
Responsible for leading competitive analysis and competitor monitoring activities, understanding market movements, and translating market insights into strategic actions to ensure the competitiveness of Chevrolet vehicles. The role operates cross-functionally to support strategic pricing decisions.
What you will do (responsabilities):
Location: São Caetano do Sul/SP
Your skills and abilities (required qualifications):
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REQUIREMENTS: Bachelor's degree in Electronic Engineering, Electrical Engineering, Computer Engineering, or related field of study and Three (3) years of experience as a Software Engineer, Developer, or related role. Three (3) years of experience with: Delivering Java Business Solutions; Full software development lifecycle (SDLC); SQL and Oracle; Object Oriented analysis and design experience proficiency with Microservices, Kubernetes, Bitbucket, and Maven; Agile Dev Techniques including TDD, JUnit, and Mocks; SQL, Hibernate, and Web Services including REST and SOAP; Cloud technologies including AWS; and Automated testing and TDD approach.
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]]>The Display Design and Development group is a dynamic, cross-functional hardware organization within GM’s Compute & Connectivity Hardware team, responsible for the end-to-end design and integration of next-generation in-vehicle display modules. The team owns the electrical and mechanical design of fully integrated display systems—spanning control boards, optics, mechanics, and firmware—while also reviewing and approving supplier and production design changes to ensure robustness, quality, and cost efficiency.
Working closely with software, vehicle integration, and design partners, the group is building an in-house display platform that can be reused across programs, enabling faster technology introduction, richer digital experiences, and a more consistent, premium display experience for customers.
The Role:
We are looking for a Staff Hardware Engineer to lead hardware definition and technical execution for display-focused diagnostic and interface integration work. This role is centered on display hardware bring-up, interface definition, issue investigation, and cross-functional problem solving, with particular emphasis on diagnostic architecture, FIDM and related interface documentation, and PRTS issue resolution.
The ideal candidate combines strong display hardware fundamentals with the ability to work across system, software, validation, and supplier teams to define robust hardware requirements, drive root-cause investigations, and improve product quality and launch readiness.
What You'll Do (Responsibilities):
What Success Looks Like:
Your Skills & Abilities (Required Qualifications):
People Skills:
What Will Give You a Competitive Edge (Preferred Qualifications):
Company Vehicle :
Upon successful completion of a motor vehicle report review, you will be eligible to participate in a company vehicle evaluation program, through which you will be assigned a General Motors vehicle to drive and evaluate.
Note: program participants are required to purchase/lease a qualifying GM vehicle every four years unless one of a limited number of exceptions applies.
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]]>Every day, our products move millions of people as we aim to make driving safer, smarter, and more connected, shaping the future of transportation on a global scale.
The Role
The advancement of virtual tools has improved the way hardware and software can be optimized in vehicle design. As a Virtual Hardware Model Engineer, you have the unique opportunity to shape GM's future by partnering cross functionally to develop models that unlock our ability to optimize design parameters within hardware components. In this role, you will lead development of select models in collaboration with suppliers, product development engineers, and other systems, software, and virtual teams.
What You’ll Do (Responsibilities)
Develop high-fidelity component plant models in MATLAB/Simulink that mathematically emulate the electrical, mechanical/physics, and software interfaces of GVHE hardware components.
Collaborate cross-functionally (Tech Specialists, DREs, VDDV, SIL, CoSim, suppliers) to understand hardware designs, control strategies, and boundary conditions, and translate them into clear modeling requirements.
Implement plant models in a form suitable for use in GM CoSim environments (e.g., FMU export), ensuring correct I/O definitions, signal naming, and execution behavior.
Use supplier specifications, design data, and physical test/bench/vehicle results to parameterize, correlate, and continuously improve model fidelity.
Support integration of component plant models into larger system and vehicle-level co-simulation environments, working closely with simulation integration and CoSim architecture teams.
Leverage plant models as virtual harness/component testers to confirm performance, run what-if studies, and explore fault and edge-case behavior before hardware is available.
Document modeling assumptions, limitations, calibration parameters, and validation results to enable reuse and traceability across programs.
Lead development and maintenance of model requirements documentation (Appendix C11, C12), ensuring component plant model requirements, test needs, and deliverables are clearly specified and up to date.
Contribute to standard methods, libraries, and best practices for component plant modeling within GVHE, mentoring peers and helping scale the capability across programs
Your Skills and Abilities (Required Qualifications)
Bachelor’s degree in Engineering, Math, Physics, Computer Science, or other relevant degree
Minimum 2 years of experience in product development, systems engineering, or work related to software/hardware connectivity. Preferred experience in translating physical phenomena into mathematical/Simulink models (electrical, mechanical, and software I/O).
Proficiency with Matlab/Simulink or similar software that uses code-based logic for model-based simulation.
Strong communication and collaboration skills
Skilled and proficient with a variety of field’s concepts, practices, and procedures.
Extensive personal experience and discernment to plan and accomplish goals.
Ability to perform multiple tasks. Lead and likely direct the work of others. A wide degree of creativity and latitude is expected.
#LI-KM2
]]>We are looking for a hard working Lead Combustion System Development Engineer, who is responsible for planning, developing, and executing subsystem level tests in a world class testing and development facility. Tasks also include leading cross functional development teams, data analysis, calibration development, identifying opportunities for data reduction, while leading the migration of lab-based activities to math. This is an assignment where creativity, initiative and independent judgment are involved, and effective cross-organizational teamwork is crucial.
Key Responsibilities
· Actively lead the Product Development Teams while working with Technical Experts to improve design features, calibration strategies and current test methods. This may involve comprehending related ECU algorithms, associated calibration process, and evaluation of virtual metrics supporting hardware
· Collaborate with design, 1D and 3D analysis teams to collectively achieve program goals
· Track development test unit through build process - support setup and debugging to assure test readiness
· Track and report on testing progress and issues
· Develop and execute first-time capable tests for calibration and hardware development
· Lead diagnosis and resolution of issues that occur during setup and testing
· Utilize and create post processing tools to assure data quality and track usefulness of data in generation of final calibration or reports
· Develop, implement, and update standard work processes and procedures globally
· Interact with facilities, technical leads, calibration teams, hardware release engineers, and others to improve process and test efficiency
· Support math-based activities, migrating additional work from Road and Lab to Math based models and data analysis
· Train, Mentor, and develop new engineers
Required Skills and Experience
· Minimum 8 years of experience in automotive engineering with engine system knowledge
· Experience in spark ignited / compression ignited (SI/CI) engine systems, thermodynamic, and emission formation mechanisms
· Experience with all SW tools consisting of AVL PUMA, IndiCom, CAMEO, Concerto and ETAS INCA software
· Demonstrated drive for results
· Excellent planning and problem-solving skills in leading edge technology applications
· High level of oral and written communication skills
· High level of interpersonal skills to work independently and effectively with others, and ability to establish peer relationships.
· Ability to prioritize work, resources, and work independently with minimal direction
· Proficient with computer and data acquisition systems
· Experience in data analysis to optimize testing or model results
· Ability to travel as required for offsite testing (less than 10%)
Preferred Skills and Experience
· Proficient use with AVL PUMA/IndiCom/CAMEO and ETAS INCA software
· Experience with propulsion system calibration in test and vehicle environments
· Knowledge and 10+ years experience with SI/CI combustion system component interactions, aftertreatment systems engine testing, calibration, model based controls, single cylinder engine operation, and hardware development tradeoffs
· Experience with engine dynamometer instrumentation/devices and emissions measurement systems
· Familiarity with government test cycles (e.g., FTP, US06, WLTP, RDE, RMC, LLC, HHDDT)
]]>This job may be eligible for relocation benefits.
Onsite: This role is categorized as onsite. This means the successful candidate is expected to report at the listed location on a full-time basis.
The Role:
Enter into a Press Manufacturing Engineer Development Program for 2 years to prepare for the position of Press Manufacturing Engineer. In this 2-year development program you will learn the mechanics of our presses and how to maintain / repair them. You will then lead team members & group leaders to maintain & repair the presses as well as improve the equipment & processes with innovative ideas. In this role, you will work to optimize the safety & quality of maintaining our presses to maintain & improve performance and reliability of our equipment.
This role is planned to be predominately a day shift role, but in times of need for equipment repairs, training others or assisting with management of people on other shifts will be required at times. The position will require long hours mainly in the times of equipment failures to repair the equipment.
You will partner closely with plant trades people, plant leaders, headquarters press engineering group, suppliers, & controls engineers to problems solve, find improved solutions & implement read across solutions from other facilities. This role requires strong technical judgment, hands-on problem solving.
What You’ll Do:
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):
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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:
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.
The AV Logging and Data Recording team within GM’s Autonomous Vehicle Platform Core organization builds the embedded vehicle software that turns real-world driving into high-quality training data for autonomous driving.
Our systems collect the sensor, vehicle, and scenario data that AV teams use to improve perception, prediction, planning, and other artificial intelligence capabilities. We focus on capturing the right data from the fleet, preserving privacy, maintaining data quality, and reliably moving vehicle data into the AI development pipeline.
We build the software that helps autonomous vehicles learn from the real world.
As a Software Engineer on the AV Data Recording team, you will help build embedded vehicle software that enables fleet-scale data collection for artificial intelligence development. Your work will support how GM autonomous vehicles capture meaningful real-world driving data, validate its quality, enforce privacy requirements, and deliver it for model training, evaluation, debugging, and continuous improvement.
You will work on software running on automotive edge platforms and collaborate closely with artificial intelligence, backend, embedded platform, and system development engineering teams to turn real-world driving into high-quality data for autonomous driving development.
This is an early-career / new graduate role designed for candidates who have recently completed, or will complete, their Bachelor’s, Master’s, or PhD degree before joining GM. You will be paired with experienced engineers to ramp up on AV software, embedded systems, real-time operating systems, vehicle data pipelines, and the production engineering practices required to support autonomous driving at fleet scale.
As a General Assembly Manufacturing Engineering Execution Zone Engineer, you will lead the development, launch, and optimization of manufacturing processes within General Assembly and 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)
Your Skills & Abilities (Required Qualifications)
What Can Give You a Competitive Edge (Preferred Qualifications)
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]]>About GM Energy
GM Energy was launched in 2021 and is rapidly growing as GM expands beyond the vehicle to deliver an integrated energy ecosystem. GM Energy’s products and solutions include charging systems and energy storage systems and the software platforms needed to operate, optimize, and aggregate these assets on the grid.
GM Energy launched its retail product line in 2024 to provide integrated charging and energy solutions for residential customers. Our vision is to empower EV drivers with seamless charging and energy solutions that connect their journeys, homes, and communities. We are focused on increasing EV adoption, strengthening customer retention and loyalty, and creating new revenue streams, all in support of GM’s vision of zero crashes, zero emissions, and zero congestion.
Learn more at gmenergy.gm.com
The Role
The Software Product Manager, Residential Energy helps define and execute GM Energy’s software portfolio in partnership with Product, Engineering, and business stakeholders.
This role is focused on software solutions to scale GM Energy grid service capabilities including program enrollment, managed charging, interoperability, and the backend integrations required to support utility and grid service programs. The ideal candidate understands utility and DER standards such as IEEE 2030.5, OpenADR, and related protocol ecosystems, along with residential grid service models such as demand response, capacity, and ancillary services.
This person will work cross-functionally across business development, hardware, sales, CRM, go-to-market, engineering, and program management teams to translate external program requirements into scalable software solutions.
This position reports to the Group Product Manager, Home Energy and Utility Software.
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 $106,600-$163,400. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.
• Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.
Benefits:
• Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending 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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]]>The Role:
The Technical Assistance Center (TAC) exists to support dealers with diagnostic and repair guidance so we can achieve our goal of fixing it right the first time and delivering a positive customer experience. TAC also plays a critical role in ensuring that business intelligence generated through case activity is shared with Engineering and Quality, so product issues are identified, communicated, and addressed.
The TAC Escalation Team (E-Team) Consultant provides live and remote support to other TAC Consultants and GM dealer personnel to assist with vehicle diagnosis and takes direct ownership of complex or difficult cases. This role determines when to engage a Field Service Engineer (FSE) based on vehicle issues, predefined escalation criteria, and requests from field personnel. In addition, E-Team members are responsible for identifying, creating, and sharing product issues and resolutions, including service information feedback, preliminary service information, and case-closing resolutions.
This role partners closely with Brand Quality and Engineering to identify and resolve current and launch-related product issues. The E-Team Consultant also supports the organization in building a customer-centric operating model, developing presentations, and communicating effectively with key partners while maintaining efficiency in a fast-paced, rapidly changing environment.
What You'll Do
Your Skills & Abilities (Required Qualifications)
What Gives You a Competitive Edge (Preferred Qualifications)
Work Arrangement:
This role is categorized as onsite. This means the successful candidate is expected to report to our Detroit/Hamtramck plant location
Sponsorship:
GM DOES NOT PROVIDE IMMIGRATION-RELATED SPONSORSHIP FOR THIS ROLE. DO NOT APPLY FOR THIS ROLE IF YOU WILL NEED GM IMMIGRATION SPONSORSHIP (e.g., H-1B, TN, STEM OPT, etc.) NOW OR IN THE FUTURE.
The Role
As a Quality Engineering Launch Lead at General Motors, you will play a pivotal role in ensuring the successful launch of new vehicles by leading quality assurance activities and driving continuous improvement throughout the product lifecycle.
What You’ll Do
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
The Prismatics Execution Engineer will support the launch, retooling, and production execution of prismatic machining and assembly processes at Toledo Propulsion Systems. This role is responsible for transforming program requirements into safe, capable, production-ready equipment and processes for current and future propulsion programs, including AB1V Prismatics and GF8 Prismatics.
The engineer will work closely with Manufacturing Engineering, Product Engineering, Plant Operations, Quality, Safety, Controls, Maintenance, Construction, suppliers, and program leadership to deliver equipment installation, integration, qualification, production readiness, and PPAP activities in alignment with GM standards and expectations.
What You’ll Do
Support the installation, integration, commissioning, retooling, and optimization of prismatic machining equipment, tooling, automation, and process technologies.
Coordinate with equipment suppliers, contractors, plant personnel, and engineering teams to ensure installation and retooling activities are completed safely, on schedule, and according to approved requirements.
Support equipment acceptance, G-Risk and safety reviews, red-tag and yellow-tag activities, green-tag readiness, process qualification, and capability studies prior to production use.
Develop, maintain, and track execution deliverables, timing plans, installation status, open issues, risks, and recovery actions for assigned program scope.
Support equipment runoff, build events, trial runs, process capability studies, run-at-rate activities, launch readiness reviews, and production ramp-up.
Partner with Quality, Plant, and Process Engineering teams to identify prismatic process risks, resolve launch issues, and establish robust controls for first-time quality.
Prepare, coordinate, and complete PPAP documentation and related manufacturing deliverables in accordance with GM requirements.
Verify that prismatic machining processes meet applicable safety, quality, ergonomic, throughput, dimensional, equipment, and process-control expectations.
Lead structured problem-solving activities for equipment, process, and product issues using data-driven methods.
Review engineering changes and ensure implementation plans, timing, documentation, and shop-floor updates are completed effectively.
Communicate program status, technical concerns, countermeasures, and escalation needs to stakeholders and leadership.
Promote standardized work, lessons learned, equipment reuse, and continuous improvement across Toledo prismatic programs.
Required Qualifications
Bachelor’s degree in Mechanical Engineering, Mechatronics Engineering, Electrical Engineering, Manufacturing Engineering, or a related discipline; equivalent relevant experience may be considered.
Experience in manufacturing engineering, process engineering, equipment installation, launch execution, or a related technical field.
Demonstrated ability to work with cross-functional teams, equipment suppliers, contractors, and plant operations.
Working knowledge of manufacturing processes, industrial equipment, tooling, automation, machining, assembly, and production launch activities.
Understanding of quality systems, process validation, PPAP, control plans, PFMEA, standardized work, and structured problem solving.
Strong commitment to safe work practices and the ability to identify, communicate, and mitigate safety risks.
Strong organizational, communication, technical problem-solving, and project execution skills.
Ability to work on the plant floor and support activities across shifts, including occasional off-shift, weekend, or shutdown support as program timing requires.
Preferred Qualifications
Experience with prismatic machining, transmission or drive-unit manufacturing, complex mechanical processes, or high-volume automated production systems.
Experience supporting GM manufacturing systems, launch deliverables, equipment acceptance, G-Risk, red-tag, yellow-tag, green-tag, or PPAP processes.
Familiarity with manufacturing documentation, process flow diagrams, PFMEA, control plans, gages, CMMs, CNC equipment, automation, coolant systems, leak testing, traceability systems, and end-of-line testing.
Experience with supplier management, project timing, installation tracking, issue resolution, and escalation.
Knowledge of continuous improvement methods, capability analysis, DOE, Red X, or other data-driven problem-solving tools.
Experience supporting AB1V Prismatics, GF8 Prismatics, capacity increases, equipment retooling, equipment reuse, or similar propulsion manufacturing program launches.
Work Environment
This is an onsite engineering role at Toledo Propulsion Systems supporting prismatic machining and assembly execution. The position requires regular presence on the manufacturing floor and close collaboration with plant, supplier, construction, maintenance, quality, safety, controls, and process engineering teams. The engineer will support equipment installation, retooling, line integration, G-Risk reviews, qualification, capability validation, equipment runoff, build events, and launch activities for prismatic processes and equipment based on program requirements.
Success in This Role
Success will be demonstrated through safe and timely execution of prismatic equipment installation and retooling, effective completion of G-Risk and red-tag, yellow-tag, qualification, and green-tag readiness activities, achievement of process capability requirements, and completion of accurate PPAP deliverables. The engineer will help deliver stable, reliable prismatic machining and assembly processes that meet GM safety, quality, timing, throughput, equipment, and production-readiness expectations.
]]>This posting is not for an existing vacancy within the organization and is open to new applications. (New Head Count)
AI Disclosure:
As part of the application process, Artificial Intelligence will be used in the hiring process for this role.
Work Arrangement:
Hybrid: This role is categorized as hybrid. This means the successful candidate is expected to report to Markham Elevation Centre (MEC) or Oshawa Elevation Centre (OEC) three times per week at minimum, or other frequency dictated by the business.
About GM:
At General Motors we pride ourselves on designing, building and selling the world's best vehicles. We are seeking a new generation of visionaries to help launch bold engineering and business initiatives, and shape new directions for General Motors. As an intern or co-op student through our EXCEL (Exploring Careers through Experiential Learning) Program you will gain hands-on career specific experiences to maximize your real world potential.
Collaborating on innovation challenges, interacting with Industry leaders, attending cross-functional networking events and volunteering for community service activities.
The Role
The Data Engineering organization at General Motors is driving innovation by harnessing data to shape the future of mobility. We are seeking a highly motivated and detail-oriented Co-Op Engineer to join our team. In this role, you will contribute to the development of software pipelines that configure the behavior of vehicle data recording systems, including both the Control and Data planes. This position requires a solid foundation in software development principles and strong collaboration skills to work effectively across diverse engineering teams. The ideal candidate will have a strong background in software development, a passion for data-driven systems, and experience in managing and scaling data flows.
What You'll Do (Responsibilities)
Develop and maintain configuration files that define the operational state of the vehicle’s Control and Data planes.
Design, implement, and maintain software pipelines to verify the integrity of vehicle data and control plane parameters.
Build software tools to ingest, cross-check, manage changes, and release data recording configuration files.
Create workflows for automated verification of configuration parameters.
Maintain detailed records of configuration files, including parameter definitions, boundaries, optimal values, and system-level impacts.
Support CI/CD and DevOps initiatives for automated integration, testing, and release of vehicle data recording software parameters.
Analyze vehicle data logs to identify discrepancies and optimize system performance.
Contribute to the continuous improvement of vehicle data recording and analytics software.
Required Qualifications:
Currently pursuing a Bachelor’s degree in Computer Engineering or Computer Science, Software Engineering, Electrical engineering, Data Science, Data Engineering or equivalent
Eligible to work full time hours, 40 hours a week for a term of 8 or 12 months (consecutive semesters) starting January 2027
Proficiency in programming languages such as Python, Java, or C/C++.
Preferred Qualifications:
Strong understanding of software development principles and best practices.
Prior experience with Eco Car/ Auto drive or similar projects.
Experience with GitHub, GitHub Actions, and workflow automation.
Solid grasp of logging and data processing concepts.
Strong analytical and problem-solving skills with the ability to troubleshoot complex issues.
Excellent communication and collaboration skills, with a team-oriented mindset.
Experience with calibration/configuration tools and processes.
Familiarity with cloud platforms (AWS, GCP, Azure) and their logging services.
Contributions to data-intensive open-source projects.
Expertise in CI/CD pipelines and automation tools.
Knowledge of embedded software development and optimization.
NOTE- YOU MUST BE ENROLLED IN A CO-OP PROGRAM AND MEET THE PROGRAM’S ELIGIBILITY REQUIREMENTS. ALL STUDENTS MUST ALSO BE LEGALLY ENTITLED TO WORK IN CANADA.
The monthly salary range for this role is $4,264.00 to $4784.00. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.
Sponsorship : PLEASE ONLY APPLY IF YOU DO NOT NEED SPONSORSHIP TO WORK IN CANADA NOW OR IN THE FUTURE. WE ARE UNABLE TO CONSIDER CANDIDATES WHO REQUIRE SPONSORSHIP
THIS JOB IS NOT ELIGIBLE FOR RELOCATIONS BENEFITS. ANY RELOCATION COSTS WOULD BE THE RESPONSIBILITY OF THE SELECTED CANDIDATE.
Accommodation is available for applicants with disabilities. Should you be contacted by General Motors of Canada Company, please advise if you require accommodation.
For more information about GM Canada, visit our website at www.gm.ca/careers
General Motors of Canada values diversity and is an equal opportunity employer
At General Motors, the Vehicle Motion Controls and Estimation (VMCC) Platform Design team develops reusable vehicle-motion control and estimation solutions for future vehicle platforms. This role provides technical leadership in either the steering-controls domain or the suspension and vertical-motion-controls domain, depending on the position.
The steering focus includes electric power steering (EPS), steer-by-wire, and active rear steering. The suspension focus includes semi-active and active suspension and vertical vehicle motion. In either focus area, you will own the technical domain while helping develop a scalable VMCC platform that supports multiple vehicle configurations, actuator
technologies, operating modes, and driver modes.
This role is designed for an experienced automotive controls engineer from a leading OEM or Tier 1 supplier who can lead work from vehicle-dynamics analysis through control- architecture and algorithm design and into production software, calibration, and vehicle validation.
What You’ll do:
Your Skills & Abilities (Required Qualifications)
What Will Give You A Competitive Edge (Preferred Skills)
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
Sobre a posição:
Como Assistente Administrativo(a), você será responsável por prestar suporte às lideranças, assegurando a organização, eficiência e continuidade das rotinas corporativas. Gerenciará agendas, reuniões, viagens, eventos, documentos, informações e demandas, acompanhando prazos e pendências até sua conclusão. Também apoiará a gestão de recursos, despesas e controles administrativos, atuando como interface entre líderes, empregados e áreas parceiras, sempre com organização, discrição, proatividade e foco em resultados.
Suas principais responsabilidades:
O que buscamos em você:
Diferenciais que podem destacar seu perfil:
ATENÇÃO: Não esqueça de anexar currículo com e-mail ativo ou sua candidatura não será considerada.
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. .
]]>The Role:
General Motors is undergoing a major transformation with the shift towards a “zero crashes, zero emission, zero congestion” vision for the future and software-defined vehicles. As a part of this transformation, General Motors is investing significantly in Virtualization and Software-in-the-Loop (SIL) technologies to enable early software quality in the vehicle development process.
We are currently looking for experienced and motivated candidates for the role of Senior Software Engineer Virtualization and SIL Integration Engineer (SIE) to support development of virtual test environments as primary deliverables for the SIL Agile Release Train (ART). This role is part of a group responsible for creating virtual in-the-loop environments to enable development, verification and validation of embedded controllers and calibrations for various conventional and hybrid propulsion system configurations (conventional engines, transmissions, and hybrid electrification systems).
In this role, you will be responsible for delivering high-quality simulation environments at each software development cycle to meet the end-user testing requirements. This position requires an individual with a passion for modeling of embedded and physical systems with in-depth knowledge of systems integration and demonstrated capability for managing a wide variety of technical and customer needs.
What You'll Do (Responsibilities):
Create or utilize existing virtual controller models to integrate be used across different virtual simulations.
Lead the development and integration of SIL co-simulation components to satisfy the end-user testing requirements.
Create and maintain virtual controller models to be used across different simulation domains, including components such as RTOS, HWIO, serial data communication models, etc.
Develop subsystem and component models, such as sensors, actuators, and plant physical behavioral models.
Integrate both virtual controller and subsystem model into a dynamic virtual simulation and test environment.
Create and maintain detailed documents for each release. Provide technical support to end-users for released SIL co-simulations and assist with user testing and troubleshooting.
Work with software and calibration development engineers to understand new feature requirements and ensure proper implementation.
Ensure the co-simulation environments are delivered with high-quality and on-time delivery.
Support deployment of SIL co-simulations for both local release and automation testing on cloud infrastructure.
What You'll Need (Required Qualifications):
Bachelor’s degree in mechanical, electrical, computer science or related discipline.
5+ years of software engineering experience, with at least 3 year of integration experience.
3+ years of experience in virtualization and Software-in-the-Loop (SIL) simulation for propulsion systems.
CoSimulation (CoSim)
Experience with Level 3 ECU development
Proficient in controls software development practices using Embedded C and software build processes using GNU compiler toolchain, GDB debugger, Eclipse or VS Code.
Internal Combustion Engine or Plug in Hybrid Electric (ICE and/or PHEV) vehicle experience.
Proficient in automotive communication technologies such as CAN, LIN, SPI and automotive ethernet.
Familiarity with systems and automation languages such as Windows PowerShell, Linux bash scripting or Python.
Preferred Qualifications:
Master’s degree or Ph.D. in Mechanical, Electrical, Computer Science or related discipline.
2+ years of experience with modeling of electric or hybrid propulsion systems with a focus on torque controls domain, including associated mechatronic subsystems in simulation tools such as Matlab, Simulink, Simscape, GT-POWER, Amesim, CarSim, etc
Experience with Software Defined Vehicles (SDV)
Familiarity with AUTOSAR standards, software-defined vehicles and associated networking technologies along with measurement and calibration toolchains such as ETAS MDA and INCA.
Familiarity with development in both Windows and Linux Operating systems.
Familiarity with CI/CD technologies such as Jenkins, GitHub Actions, Artifactory, or related DevOps technologies.
Familiar with co-simulation standards such as FMI and SSP.
#LI-SW1
This job is not eligible for relocation benefits. Any relocation costs would be the responsibility of the selected candidate
Why Join Us
At GM, you’ll be at the forefront of shaping the future of connected, electric, and autonomous vehicles . You’ll work on cutting-edge antenna systems alongside some of the brightest minds in automotive and RF technology — with the resources to make an impact at scale. We offer competitive compensation, growth opportunities, and a culture that values innovation, inclusion, and forward thinking . This is a unique opportunity to lead, innovate, and help millions of customers around the world stay connected on the move .
Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.
Benefits : GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.
Diversity Information
General Motors is committed to being a workplace that is not only free of discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that workforce diversity creates an environment in which our employees can thrive and develop better products for our customers. We understand and embrace the variety through which people gain experiences whether through professional, personal, educational, or volunteer opportunities.
We encourage interested candidates to review the key responsibilities and qualifications and apply for any positions that match your skills and capabilities.
]]>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
As a Senior Global Sourcing Manager, you will be responsible for sourcing Technology purchases (Software, Software as a Service, Infrastructure) on a regional and global basis. You will be responsible for developing, negotiating and implementing sourcing strategies by working with key stakeholders on technology requirements, IT, security and legal, which then requires preparing and completing sourcing recommendations to various levels of management. In this role, you will be responsible for managing GM’s cloud service providers.
What You’ll Do
Your Skills & Abilities (Required Qualifications)
What Can Give You a Competitive Edge (Preferred Qualifications)
What You’ll do:
Your Skills & Abilities (Required Qualifications)
What Will Give You a Competitive Edge (Preferred Skills)
Compensation: The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position, as well as geography of the selected candidate.
• The salary range for this role is (159,400 - 245,000). The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.
• Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.
Benefits:
• Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.
#LI-JK3
]]>Hardware Engineers are a professional responsible for leading the development and design of electrical hardware. The role of the hardware engineer involves various key responsibilities: component requirements development, component design, component validation.
This Virtual DRE role offers the selected candidate the opportunity to be a part of a team releasing game-changing Electric Power (EP) technologies and controls strategies enabling cost effective and power efficient systems delivering improved Power capabilities and enhanced diagnostics to support GM’s Zero, Zero, Zero vision for the future. Must be very organized, have strong program management and problem solving skills
General Motors is accelerating the development of virtual simulation technologies for future GM vehicles, and we are looking for a highly innovative, data driven person who works well in a team setting, This person needs to be able to work with sufficient understanding of industry technology trends, solid technical knowledge, critical reasoning, simulation technical skills, and a structured approach to solving problems in both familiar and unfamiliar domains.
Selected candidate will focus on the design release of virtual and/or actual hardware providing an innovative diagnoseable power delivery system.
Key Responsibilities
Establish domain expertise to develop and maintain requirements, use cases, and virtual scenarios for Electric Power systems, incorporating lessons learned and ensuring robust virtual integration.
Establish and track quality, performance, and validation requirements across component, subsystem, and vehicle levels.
Define and execute traceable validation methodologies including analysis tests for integration, subsystem, and full vehicle use cases.
Design, implement, and approve simulation solutions (component and subsystem level) using tools such as 3D ANSYS, Sherlock, CFD, FEA, and 1D Saber, Simulink, matlab, pspice, or other pcb analysis system models.
Develop standardized methods and models to execute assigned analysis projects.
Establish, document, and maintain common CAE methods and requirements through continuous improvement and development of new analysis capabilities.
Perform correlation studies between simulation and physical test data; conduct root cause analysis utilizing simulation.
Execute simulation test cases, root cause, generate reports, and support cross-functional virtual validation, including packaging and performance analysis.
Develop standardized CAE methods and continuously improve modeling capabilities.
Proactively lead design optimization, benchmarking, trade studies, problem solving investigations, and innovation initiatives for improved performance, warranty reduction, launch excellence, and vehicle integration utilizing data driven methods.
Lead and support issue resolution including supplier, test, and warranty-related concerns.
Collaborate with test teams to replicate failures and develop virtual scenarios for design improvements.
Provide recommendations for product and process enhancements based on analysis insights.
Lead Product Development Team (PDT) activities for virtual model delivery aligned with program timing and quality targets and driving robust engineering solutions.
Manage virtual development projects, status project and validation progress, and present updates to leadership.
Ensure execution of quality deliverables including virtual test reports, timing plans, DFMEA, DRBFM, and supplier reviews.
Collaborate with global engineering teams, suppliers, and stakeholders across development and launch phases for successful simluations to drive design milestone readiness
Mentor team members and contribute to capability build-up within the Electric Power domain.
Support SMEs on the development of new Roadmap solutions
Travel as required
Your Skills & Abilities (Required Qualifications)
Degree majoring in computer science, chemistry, automation, electronics and electrical or mechanical engineering.
3+ years experience in automotive or computer aided engineering field
Proficient in using Matlab or C++/Python programming;
Experience in using simulation software such as CarSim and Prescan, Saber, Simulink, synopsys (ANSYS), Sherlock, CFD, FEA, SPICE, MathCAD, or experience in general simulation testing (MIL, SIL, HIL, VIL, etc.)
Experience with DNG, FMEAs and high quality requirement development
Good analytical ability where problems are unusual and complex.
Proactive study sense, Structural and forward thinking, team work spirit.
Good interpersonal skills to work effectively with others.
Excellent oral and written communication skills in English.
Have a serious and responsible work attitude.
What Will Give You A Competitive Edge (Preferred Qualifications)
Knowledge of Agile or SAFe
Simulation experience
Release experience
#LI-SW1
This job is not eligible for relocation benefits. Any relocation costs would be the responsibility of the selected candidate
Why Join Us
At GM, you’ll be at the forefront of shaping the future of connected, electric, and autonomous vehicles . You’ll work on cutting-edge antenna systems alongside some of the brightest minds in automotive and RF technology — with the resources to make an impact at scale. We offer competitive compensation, growth opportunities, and a culture that values innovation, inclusion, and forward thinking . This is a unique opportunity to lead, innovate, and help millions of customers around the world stay connected on the move .
Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.
Benefits : GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.
Diversity Information
General Motors is committed to being a workplace that is not only free of discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that workforce diversity creates an environment in which our employees can thrive and develop better products for our customers. We understand and embrace the variety through which people gain experiences whether through professional, personal, educational, or volunteer opportunities.
We encourage interested candidates to review the key responsibilities and qualifications and apply for any positions that match your skills and capabilities.
]]>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.
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)
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
]]>REQUIREMENTS: Bachelor's degree in Mechanical Engineering, Electrical Engineering, Electronics Engineering, Computer Science, or related field of study and Two (2) years of experience as a Process Controls Engineer, Automation Engineer, or related occupation. Two (2) years of experience with: Manufacturing processes, lean manufacturing, both high automation and manual processes; Robots, Press, and vision equipment, PLC, HMI integration and commissioning; Safety Validation of controls systems; Plant floor systems including Production Monitoring and Control, Andon Systems, Upload/Download and Compare, Throughput and Material Call; Error proofing SCADA systems; and Common Controls Hardware and Common Controls Software Standards.
#LI-DNI
]]>REQUIREMENTS: Master's degree in Electronic Engineering, Mechanical Engineering, Electrical Engineering, Computer Engineering, Computer Science, or related field of study and Four (4) years of experience as a Software Engineer, Programmer Analyst, Development Engineer, Release Engineer or related role. Three (3) years of experience with: Embedded systems, including their architecture and components in automotive applications including control systems, sensor integration, and real-time processing; Using diagnostic tools like Vector CANoe, CANalyzer, and VehicleSpy for signal monitoring, and fault isolation; Interpreting software logs and error codes to identify root causes in code and system behavior; Automotive communication protocols including CAN, LIN, FlexRay, and Ethernet to trace data flows and understand network behaviors; Interpreting test data, identify patterns in failures, and apply structured problem-solving approaches; Root cause analysis including 5 Whys and Fishbone Diagram, and failure mode analysis; Vehicle electrical systems and mechanical components for diagnosing mechatronic issues where hardware and software intersect; Systems engineering principles to see how
individual components, including hardware, software, and calibrations, interact within the larger vehicle system; Analyzing requirements to ensure each component and system function meets design intent and customer expectations; Calibration management, with ETAS INCA and Vector CANape, to modify and validate parameter settings in real time; Diagnosing hardware-related issues, from PCB-level component failure to wiring harness issues, grounding problems, and sensor malfunctions; Using multimeters, oscilloscopes, and other electrical diagnostic tools to validate hardware functionality; and ECU reprogramming tools and protocols including UDS to handle in-field updates and support assembly plant staff in flashing procedures. One (1) year of experience with: Lauterbach and GreenHills Multi for data capture, hardware and software debugging; Software development tools including Git, Gerrit, Jenkins, and IDEs including Eclipse; and Software flashing techniques, including Over-the-Air (OTA) updates, to support vehicle software updates and troubleshoot any issues that arise during flashing.
#LI-DNI
]]>REQUIREMENTS: Bachelor’s degree in Electrical Engineering, Mechanical Engineering, Industrial and System Engineering, Computer Engineering, Computer Science, or related field of study. Five (5) years of experience as a Validation Engineer, Junior Data Analyst, Engineering Technician, or a related occupation. Three (3) years of experience with: Database management including optimizing SQL queries in relational databases and big data platforms including Hive. Two (2) years of experience with: Exercising 8D and 5 Why’s problem solving technique to identify root cause and propose expected improvements from failure fixes; Project management; Automotive electrical systems and vehicle programming; Operational process requirement including Back Office processes for connected vehicle services; and Software Release tools including Engineering Change Management (ECM), Soft Part Release (SPR), Problem Resolution and Tracking system (PRTS), GlobalSIM (GSIM), Remote Reflash Test Tool (R2T2). Global Softpart Authoring System (GSPAS), Vehicle Control Application Management, and Vehicle Spy and CANalyzer. One (1) year of experience with: OTA update management.
#LI-DNI
]]>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
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 technically strong and highly motivated Technical Specialist to lead the development and integration of embedded software for On-Board Charging Module (OBCM) systems. This role will provide overall technical direction for OBCM software and controls, from concept and requirements through implementation, validation, and production release.
The ideal candidate combines strong embedded C/C++ software experience with deep knowledge of automotive power electronics, especially AC/DC and DC/DC conversion. The role requires close collaboration with Software Architects, Solution System Lead Engineers, Hardware-in-the-Loop (HWIO) teams, hardware engineers, systems and safety teams, validation, calibration, and external technology partners.
What You’ll Do:
Lead the technical development of OBCM embedded software and control integration across the product lifecycle.
Define and evolve software, controls, interfaces, verification methods, and production acceptance criteria for OBCM functions.
Develop and guide control strategies for AC/DC power-factor correction, DC/DC conversion, voltage and current regulation, power-flow management, and bidirectional operation.
Provide technical direction for control-loop design, state machines, PWM and modulation, sampling, protection, diagnostics, fault handling, and real-time behavior.
Review software architecture, C/C++ implementation, algorithms, and technical deliverables to ensure safe, maintainable, testable, and production-ready solutions.
Collaborate with Software Architects, SSLEs, HWIO, hardware, systems, safety, validation, calibration, and supplier teams to resolve integration issues across software, controls, power electronics, and vehicle interfaces.
Integrate OBCM software with battery-management, high-voltage, charging, thermal-management, and supervisory-control systems.
Lead root-cause analysis and resolution of complex issues identified in simulation, software integration, hardware testing, and vehicle testing.
Establish and lead verification and validation activities across SIL, HIL, bench, dyno, and vehicle environments, including automated testing and calibration support.
Maintain requirements traceability from system and software requirements through implementation and test evidence.
Ensure compliance with functional-safety, diagnostic, cybersecurity, regulatory, quality, and applicable coding-standard expectations.
Support technical planning, backlog refinement, estimation, risk management, and resolution of critical product issues.
Mentor engineers and provide technical guidance that improves software quality, development efficiency, and reuse across applications.
Evaluate emerging OBCM and power-conversion technologies and lead advanced engineering activities that produce production-ready solutions.
Your Skills & Abilities (Required Qualifications):
Bachelor’s degree in Electrical Engineering, Computer Engineering, Software Engineering, Controls, Automotive Engineering, or a related discipline.
5+ years of experience in OBC, OBCM, automotive power conversion, embedded controls software, or closely related technology.
Demonstrated experience taking embedded software or controls from requirements through implementation, validation, and production release.
Strong hands-on experience with embedded C/C++ and real-time software development.
Working knowledge of AC/DC conversion, PFC, DC/DC conversion, voltage and current regulation, PWM, sampling, protection, and control-loop stability.
Ability to analyze software and controls behavior across the controller, subsystem, and vehicle levels.
Experience with software and system requirements, interface definition, verification methods, and requirements-to-test traceability.
Strong system-level troubleshooting skills across software, controls, hardware, power stages, and vehicle interfaces.
Excellent technical communication, collaboration, and problem-solving skills.
Ability to work independently, lead through influence, and make sound technical decisions in a complex, cross-functional environment.
What Will Give You a Competitive Edge (Preferred Qualifications):
Master’s degree in Electrical Engineering, Computer Engineering, Software Engineering, Controls, Automotive Engineering, or a related discipline.
8+ years of experience in OBC, OBCM, automotive power conversion, embedded controls software, or closely related technology.
Direct experience launching a production automotive OBC or OBCM.
Experience with bidirectional charging, V2G/V2H, EV charging interfaces, or charging communication standards.
Experience with SiC-based high-voltage power electronics.
Knowledge of functional safety, diagnostics, fault management, high-voltage safety, and automotive cybersecurity.
Experience with SIL, HIL, automated validation, calibration, dyno, and vehicle-level testing.
Experience with control modeling, simulation, or rapid-control-prototyping tools.
Familiarity with automotive communication and configuration technologies such as CAN, LIN, Ethernet, and ARXML.
Experience with requirements and engineering tools such as DOORS/DNG, Git, Jira, and continuous-integration environments.
Advanced degree in Electrical Engineering, Power Electronics, Controls, Computer Engineering, or a related field.
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
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
]]>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.
What You’ll Do (Responsibilities)
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.
There are multiple hiring managers looking to fill positions in the following areas:
What You’ll Do (Responsibilities)
Your Skills & Abilities (Required Qualifications)
What Will Give You a Competitive Edge (Preferred Qualifications)
#LI-KM2
]]>Your Skills & Abilities (Required Qualifications)
What Will Give You a Competitive Edge (Preferred Qualifications)
We are seeking an experienced Senior Software Engineer ( .NET ) to join our team. In this role, you will lead the design, development, testing, and maintenance of high-performance, scalable, and secure software systems. The ideal candidate will also have hands-on experience with AI agentic workflows, LLM-based automation, retrieval-augmented generation, and intelligent workflow orchestration . You will collaborate with cross-functional teams to deliver innovative solutions that support Human Resources, Communications, and Physical Security IT business applications.
What You'll Do:
Lead the design, development, and maintenance of full stack solutions using .NET technologies
Translate business requirements into effective, scalable, and reliable technical solutions
Build AI-powered agents that retrieve context, reason across multiple data sources, recommend actions, and support human-in-the-loop automation
Participate in sprint planning, refine stories, and provide accurate estimations for development timeline
Deliver clean, maintainable code aligned with best practices and modern design patterns
Develop and execute unit test cases with high code coverage
Mentor and coach Junior engineers, conduct code and design reviews
Troubleshoot complex issues, perform root cause analysis, and implement long-term fixes
Support CI/CD workflows and ensure continuous improvement in build and release process
Model and foster GM’s core values and behaviors
What You'll Need:
8+ years of professional experience in software development with a focus on .NET Core
Minimum 3+ years of experience in leading the software engineering team
Knowledge of HR/Workday business processes
Proven expertise in deploying modern design patterns and building scalable, reusable code
Experience building AI/LLM-based applications, preferably with agentic workflows
Strong understanding of RAG architecture, embeddings , vector search , prompt design, context retrieval and LLM evaluation
Experience with Model Context Protocol ( MCP ) for integrating AI agents with tools, data sources, and enterprise systems
Experience with queuing and background jobs orchestration with .Net hosted services
Experience with Azure Infrastructure to deploy, configure and troubleshooting ( IaC pipelines, Site Reliability Engineering, DevOps )
Ability to develop and deploy microservices on AKS
Strong proficiency in Angular for front-end development
Experience in building and scaling backend services across hybrid environments (on prem and cloud)
Ability to configure docker files for containerization.
Maintain ETL pipelines using Azure Synapse to ingest and deliver data to downstream systems.
Hands-on experience with RESTful API design and integration services that connect enterprise systems like Workday, Microsoft identity services (Azure AD/ Entra ID, Microsoft Graph )
Experience with relational databases such as PostgreSQL and SQL Server, including stored procedures
Proficiency in version control systems (Git) and maintain CI/CD pipelines using GitHub actions
Experience with Agile methodologies and tools such as Jira and Confluence
Excellent problem-solving skills, with an ability to work on complex distributed systems
Preferred Skills:
Experience with AI agent frameworks such as LangChain, LangGraph, Semantic Kernel, CrewAI, AutoGen, or similar Orchestration frameworks
Familiarity with AI governance, model risk, hallucination mitigation, guardrails, evaluation metrics, and human approval workflows
Experience with containerization and orchestration tools (Docker, Kubernetes)
3+ years with Azure Kubernetes Service (AKS) application development
Knowledge of .NET framework upgrades and modernization strategies
Experience with GitHub actions and CI/CD automation
Strong background in Monitoring and Observability practices
Experience in Azure Databricks, Data Mesh architecture
This job may be eligible for relocation benefits.
GM DOES NOT PROVIDE IMMIGRATION-RELATED SPONSORSHIP FOR THIS ROLE. DO NOT APPLY FOR THIS ROLE IF YOU WILL NEED GM IMMIGRATION SPONSORSHIP (e.g., H-1B, TN, STEM OPT, etc.) NOW OR IN THE FUTURE.
]]>The 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.
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
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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.
]]>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.
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 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.
This role is categorized as hybrid. This means the successful candidate is expected to report to Warren, MI three times per week, at minimum.
Estimating approximately 30% travel annually.
The Role:
This role serves as the primary liaison between GM and multiple suppliers to ensure alignment, execution discipline, and steadfast progress across supplier-managed Value-Added Assembly (VAA) projects supporting GMNA. The position is responsible for coordinating supplier activities, removing roadblocks, supporting contract and execution alignment, and ensuring project goals, timing, and objectives are clearly communicated across suppliers, integrators, cross-functional teams, and leadership.
Key responsibilities include verifying supplier project planning, integration, validation, implementation readiness, and productionization to support successful launch execution and continuous improvement. The role provides technical direction and oversight for outside vendor sources, supports supplier buyoffs and APQP acceptance testing, verifies Supplier Continuous Process Improvement Team initiatives, supports Quality Readiness Reviews, and provides leadership updates on supplier launch readiness status, open issues, and escalation needs.
The position also supports supplier cost savings and cost avoidance by analyzing engineering budget trade-offs, evaluating manual versus SMART automation opportunities, incorporating lessons learned into standards and workflows, and providing input for supplier “what-if” studies. This role helps mitigate supplier downtime that could impact assembly operations by driving timely closure of Problem Resolution Tracking System items, validating post-SORP readiness, supporting supplier change requests and decision notices, and ensuring issues are rapidly escalated and resolved to protect production continuity.
GM Behaviors:
Commitment to Customers
Innovate and Embrace Change
Lead as One Team
What You’ll Do (Responsibilities):
Support pull ahead Supplier managed VAA modules including verifying planning, integration, validation, and productionizing responsibilities maximizing efficiency to reduce piece price.
Lead resolution and negotiation strategies between GM and multiple integrators.
Verify Supplier Continuous Process Improvement Team initiatives and implementation status and readiness.
Analyze Supplier Engineering Budget trade offs (manual vs SMART automation).
Support Quality Readiness Reviews.
Provide Leadership updates for Supplier Launch Readiness Status.
Continuous improvement Leadership via Problem Resolution Tracking System remediation.
Supports supplier change requests/decision notices.
Verify Supplier Post SORP down time with Problem Resolution Tracking System items closed on time, and validation on time.
Roadblock remover for multiple supplier projects.
Provide input for Supplier “What if” Studies.
High level of problem solving and issue resolution aptitude.
Technical capability with knowledge of automated processes.
Providing technical direction to and oversight of outside vendor sources (Supplier buyoffs, APQP acceptance testing).
Effectively communicate all pertinent information regarding goals, project timelines, or objectives to concurrently to multiple and leadership.
Review initiatives and open issues, rapid escalation of issues and/or roadblocks.
Incorporate lessons learned and cost savings initiatives into standards, workflows to support future Supplier projects and read across to external teams.
Performance management responsibilities for contract engineers.
Liaison for contract/execution alignment between multiple Suppliers.
Lead resolution and negotiation strategies between GM and multiple integrators.
Verify Supplier Continuous Process Improvement Team initiatives and implementation status and readiness.
Analyze Supplier Engineering Budget trade offs (manual vs SMART automation).
Support Quality Readiness Reviews.
Provide Leadership updates for Supplier Launch Readiness Status.
Continuous improvement Leadership via Problem Resolution Tracking System remediation.
Supports supplier change requests/decision notices.
Verify Supplier Post SORP down time with Problem Resolution Tracking System items closed on time, and validation on time.
Roadblock remover for multiple supplier projects.
Provide input for Supplier “What if” Studies.
Performs other related duties as assigned.
Your Skills & Abilities (Required Qualifications):
7+ years of experience in Manufacturing Operations.
Bachelor’s degree in engineering or a related technical field, or equivalent professional experience.
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.
Previous experience as Project Lead, with the ability to coordinate resources, provide leadership updates, create, and manage critical timelines. report status, and support rapid escalation were required.
Ability to efficiently manage multiple issues in a fast-paced work environment.
Strong technical capability working with industrial electrical systems regulations, design and maintenance, automation, and controls systems.
Strong knowledge of Automotive Assembly application and operations.
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.
Travel for Supplier support and verification as required.
What Can Give You a Competitive Advantage (Preferred Qualifications)
Thorough knowledge of Manufacturing Processes and Equipment and how it relates to VAA Modules.
Strong passion for customer relations, effective communication and interpersonal savvy
The Mechatronic Software Platform (MSP) organization enables GM’s Software Defined Vehicle by making sure controllers, benches, and development vehicles are correctly instrumented and ready for calibration and software work.
The instrumentation team operates across many microcontroller families, ECUs, and electrical architectures. We sit at the intersection of ECU hardware, infrastructure software, calibration, and integration, working with SWILs, calibrators, hardware teams, and tool suppliers to ensure measurement, calibration, and trace/debug tooling work reliably on SDV platforms.
The Role:
We are looking for a hands-on Instrumentation Integration Engineer to own SDV instrumentation integration for infrastructure software. This role is part of the Infrastructure Calibration & Release team. This is a doing role, focused on real benches and hardware across multiple microcontrollers and ECU variants. You will ensure controllers are properly instrumented, tools are configured correctly, and issues are found and fixed quickly so development, integration, and calibration can proceed without delay.
Who Thrives Here:
What You’ll Do (Responsibilities):
Your Skills & Abilities (Required Qualifications):
What Will Give You a Competitive Edge (Preferred Qualifications):
#LI-DH2
]]>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
What You’ll Do
Strategic Legal-to-Business Advisory
Compliance Oversight & Governance
Risk Identification & Mitigation
Negotiation Support & Conflict Resolution
Contract Lifecycle Management & Monitoring
Training, Coaching & Stakeholder Enablement
Strategic Agreement & Approval Support
Your Skills & Abilities (Required Qualifications)
What Will Give You a Competitive Edge (Preferred Qualifications)
Work Arrangement: This role is categorized as hybrid on NIGHT SHIFT 8pm to 5am PH time, with flexibility to adjust shifts when required. This means the successful candidate is expected to report to the office three times per week (or other frequency) as dictated by the business or when there are meaningful engagements such as trainings, townhalls and executive visit
The Role
The Fulfillment Center (FC) Business Services Senior Analyst supports the team in establishing GM’s fulfillment center network for scalable operations. The role involves implementing and validating business and system processes, as well as continuously evaluating redundant efforts to streamline operations.
The Senior Analyst manages all data-related activities, including reporting, data analysis, and ensuring the accuracy of incoming data. Prioritize activities across multiple competing interests and serve as the subject matter expert on GM policies, processes, and procedures.
What You'll Do
Your Skills & Abilities (Required Qualifications)
What Will Give You A Competitive Edge (Preferred Qualifications)
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
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 Senior Design Release Engineer (DRE) leads the design, engineering, and release of closure systems across vehicle programs. This role requires strong technical judgment, cross‑functional leadership, and the ability to deliver an integrated, balanced subsystem from early development through launch.
What You’ll Do (Responsibilities)
Subsystem Leadership & Cross‑Functional Collaboration
Technical Ownership
Product Development Team Leadership
Dimensional Strategy & Issue Resolution
Your Skills and Abilities (Required Qualifications)
What Will Give You a Competitive Edge (Preferred Qualifications)
#LI-KM2
]]>We are looking for a talented and motivated candidate to join our team in our journey of defining and executing the backbone of our company's future—the next generation Vehicle Electrical and Software Architecture.
The Mechatronics Infrastructure organization is looking for a Senior Systems Engineer who will work on development and validation of the in-vehicle Ethernet network. The role will focus in particular on systems engineering areas that are in the midst of transformation, with key examples being design automation tools and machine-readable network configuration artifacts, expanding our network verification bench.
The role will also include the advancement of our networking solutions and protocols required for our next-generation architectures, as well as close collaboration with stakeholders across the hardware and software organizations.
What You'll Do (Responsibilities):
Your Skills & Abilities (Required Qualifications):
People Skills:
What Will Give You A Competitive Edge (Preferred Qualifications):
#LI-DH2
]]>General Motors is seeking a Facilities Electrical Engineer to help operate, improve, and expand the electrical infrastructure that enables safe, reliable vehicle manufacturing. This plant-facing role partners with Facilities, Maintenance, Manufacturing Engineering, Safety, contractors, utilities, and plant leadership to maintain electrical systems, deliver facility projects, and strengthen electrical safety performance.
The successful candidate will combine sound electrical-engineering judgment with practical field execution. They will work across active manufacturing environments, respond to urgent plant needs, and lead work that protects people, supports production, and improves long-term facility reliability.
The ADAS Virtualization Deployment team is part of the ADAS DRIVE organization which is responsible for the design, requirements, integration, validation, and execution of ADAS products. Joining our organization will provide you with the opportunity to work on cutting-edge technologies, contribute to innovation, and collaborate with a diverse team of experts. As a Software Test Engineer – Virtualization in the ADAS Virtualization Deployment team, you will focus on capability development and readiness of Software‑in‑the‑Loop (SIL) test environments to support ADAS feature testing / validation. You will work with simulation tools and multiple teams (Simulation Tools and Infrastructure, ADAS capability and execution teams) to help build required capability in SIL environment, create initial scenarios / scripts and execute initial testing, improve SIL based test environments that enable early testing / validation and reduce dependence on physical benches and vehicles.
What You'll Do (Responsibilities):
Support the capability development, program specific configuration, test results / issues debugging and initial test execution of assigned ADAS feature on SIL environment
Support creation of scenarios and test execution to evaluate the readiness and capability of virtual environment for testing / validation
Evaluate any new requests for adding or updating ADAS software, vECUs, models and programs into SIL package configuration
Compile and provide requirements to Simulation Tools and Infrastructure teams to update / add capability to their SIL environments for required testing
Support automation of test cases following established test procedures in X-Ray / CGs
Work with feature owners, systems engineers, and calibration engineers to reproduce issues in SIL and support triage of test results
Support process automation for test result data analysis
Contribute to documentation and standard work for SIL usage, including how‑to guides, user training as required
Identify and communicate opportunities to improve testing efficiency, coverage and automation in SIL environment
Share status, risks, and learnings with team members and leads and participate in regular reviews and stand‑ups
Provide technical mentorship to less experienced engineers on SIL usage, test execution and automation
Drive continuous improvement and innovation in ADAS virtualization capabilities and contribute via sharing lessons learned, escalating risks and informing stakeholders of status, timing, risks, and technical issues / roadblocks
Additional Job Description:
Your Skills & Abilities (Required Qualifications):
Bachelor of Science degree in Engineering, Computer Science, Physics, Math, or related technical field
5+ years of overall engineering experience related to software testing, simulation of embedded systems or control systems
Fundamental understanding of active safety / ADAS concepts, vehicle dynamics, or automated driving technology
Basic experience with programming or scripting (e.g., Python, MATLAB, C/C++)
Strong ability to work with computer-based simulation tools to run tests and analyze data
High level of oral and written communication skills and the ability to clearly document work
Demonstrated ability to learn new tools and processes quickly, handle multiple tasks / projects and follow through on deliverables / commitments
What Can Give You a Competitive Edge (Preferred Qualifications):
Master’s degree or additional coursework in Embedded controls, ADAS, Autonomous systems or related areas
7+ years of overall engineering experience related to software testing, simulation of embedded systems or control systems, test automation, validation
Exposure to SIL environments, vehicle simulation tools, or virtual ECU testing
Familiarity with co-simulation methods such as FMI or Protobuf
Experience in modeling within physics-based simulation environments, preferably in the automotive domain
Experience with test automation and CI/CD tools (e.g., Git, Jenkins, or similar) for automated testing
Familiarity with CAN, LIN, or Ethernet communication and basic understanding of vehicle diagnostics
Experience with MATLAB/Simulink and Python for data analysis, tool development, or test automation.
Experience with ADAS features and ADAS components (radar, camera, lidar, sensors) simulation
You will guide your product development team through the full Vehicle Development Process, from defining requirements to designing and releasing a complex brake subsystem into production. Responsibilities include utilizing engineering tools and processes to develop robust, manufacturable components and systems, while driving milestone achievement through disciplined and proactive program management.
You’ll coach and lead suppliers to ensure flawless execution of deliverables, and apply a high level of independent judgment, creativity, and initiative to solve complex challenges and continuously improve product quality and performance.
What You'll Do (Responsibilities):
Lead the Product Development Team (PDT) for brake system components and subsystems.
Manage the design, release, and integration of brake components into GM systems with precision and timeliness.
Oversee pre-production builds, ensuring properties are shipped test-ready and aligned with program milestones.
Drive completion of Design Validation using analytical tools such as FEA, modal analysis, and virtual builds.
Identify root causes of design issues and implement effective solutions.
Define and develop technical specifications including CTS, SSTS, SOR, and ICD documents.
Refine design criteria and typical sections using math data to support robust engineering decisions.
Conduct trade off studies and recommend program direction based on cost, mass, and timing.
Lead and support technical reviews with suppliers and internal teams.
Coordinate cross-functional activities with purchasing, manufacturing, and supplier quality teams.
Monitor warranty data and address emerging product issues.
Translate lessons learned into best practices and contribute to continuous improvement.
Stay current with emerging technologies and identify opportunities for innovation.
Communicate effectively with internal and external stakeholders to ensure alignment and transparency.
Your Skills & Abilities (Required Qualifications):
Bachelor’s degree in engineering.
Strong grasp of engineering theory, design principles, and system integration.
Excellent oral and written communication skills.
Proven ability to work independently and collaboratively.
High analytical aptitude for solving complex, non-routine problems.
Strong interpersonal skills for effective team and supplier engagement.
Familiarity with manufacturing processes and engineering operations.
Familiarity in CAD and CAE tools.
Understanding of Specification and Release systems.
DFSS (Design for Six Sigma) Certification.
Valid driver’s license and ability to operate a motor vehicle daily.
What Will Give You a Competitive Edge (Preferred Experience):
Prior experience in brake system design and release.
This role within the Global Propulsion Engineering division offers the opportunity to work in a highly collaborative team focused on virtual process development and execution. Propulsion related thermal and multiphase flow simulations are the primary focus. 3D Computational Fluid Dynamics (CFD) models are used to directly impact design and eliminate hardware testing. Simulations are focused on electric motors, drive units, battery cells, engine, and transmission related components.
What You’ll Do
Your Skills & Abilities (Required Qualifications)
What Will Give You a Competitive Edge (Preferred Qualifications)
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.
]]>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.
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:
The Paint Process Engineer position is a fast-paced manufacturing engineering position in which you will work with paint robots, circulation systems, air handlers and ovens. The Arlington Paint Process Engineer is responsible for auditing and validating all processes required for painting GM’s full-sized SUVs.
Process Engineers’ day-to-day activities include working with technicians troubleshooting processing concerns, analyzing quality trends, modifying painting and baking recipes, programming robots and many other rewarding engineering changes. The Process Engineer is also responsible for supervising a small group of process technicians.
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.
]]>GM’s global manufacturing engineering team is transforming manufacturing facilities through the adoption of advanced technologies and improved processes. The Assistant Total Manufacturing Integration Engineer will provide technical leadership for complex manufacturing problems, including troubleshooting, equipment installation and qualification, manufacturing-process issue closure, training, and work assignment.
The role will manage a team of approximately 4–6 process engineers responsible for manufacturing processes, equipment and tooling alternatives, sequence and flow of operations, and effective utilization of personnel, materials, machines, and facilities. Work will be performed in a centralized manufacturing engineering environment requiring creativity, initiative, independent judgment, and cross-functional coordination.
Manage the day-to-day activities of a team of 4–6 process engineers, including setting objectives, managing results, and evaluating and coaching individual performance.
Meet program timing requirements and PTC milestones.
Meet program cost targets and maintain cost accuracy.
Lead the development and implementation of program-specific manufacturing processes.
Support the Launch Wall process through the Manufacturing Validation Build Plan and PPAP.
Interface with plant personnel, Central Manufacturing Engineering personnel, and Product Engineering teams on new programs and projects.
Analyze first-time-quality data and optimize processes using statistical tools such as Red X and Design of Experiments.
Develop process documentation for new products and processes, including Process Flow Diagrams, Process Control Plans, and Process Failure Mode and Effects Analyses.
Oversee and help coordinate PPAP and GP-12 activities.
Provide technical direction to less-experienced process engineers.
Support Business Plan Deployment initiatives and coordinate engineering activities to achieve business-plan objectives.
Provide technical direction to and oversight of outside vendor sources.
Support continuous-improvement projects at plant sites to improve Safety, People, Quality, Reliability, and Cost performance.
Travel to GM plants to provide launch support and meet other business needs; expected travel is approximately 25–30% within the United States and Mexico.
Bachelor’s degree or equivalent experience.
Ten or more years of manufacturing engineering experience.
Demonstrated understanding of plant-floor operations and design for manufacturability.
Ability to travel.
Demonstrated ability to lead, coach, and develop direct reports.
Two or more years of supervisory experience preferred.
In-depth experience with transmission systems highly preferred.
GM does not provide immigration-related sponsorship for this role. Do not apply if you will need GM immigration sponsorship now or in the future, including direct company sponsorship, entry of GM as the immigration employer of record on a government form, or work authorization requiring written submission or other immigration support from the company.
]]>Responsible for supporting activities that may include:
- SORs and project management for tools, stations or specific technologies.
Typically part of a larger effort or project
- Manufacturing process definition
- Sequence of operations
- Human factors consideration
- Efficient material flow
- Design, construction, integration, plant installation, successful launch and continuous improvement of equipment and tools required in plants for the production of high quality parts
- Providing technical direction to and oversight of outside vendor sources
-Work may involve development and testing of advanced process technology.
Work Schedule: 100% on-site position. Candidates must be available to work rotating shifts under a 5x2 schedule with 10-hour shifts based on operational and production requirements.
In case you need any reasonable adjustment to continue with your process, let your recruiter know.
Remember to attach your CV when applying to this vacancy.
General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We respect and value what each individual contribution to our team, including their origin, education, sex, race, ethnic group, sexual orientation, gender expression and / or identity, religious context, age, generation, and disability. We believe that our ability to meet the needs and expectations of an increasingly diverse and global customer base is closely linked to the diversity and inclusion that we experience within General Motors.
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