Job Description

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 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

About GM

Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.

Why Join Us

We believe we all must make a choice every day – individually and collectively – to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.

Benefits Overview

From day one, we're looking out for your well-being–at work and at home–so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources.

Non-Discrimination and Equal Employment Opportunities (U.S.)

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 strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.

All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws.

We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire.

Accommodations

General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, emailus or call us at 1-800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

Job Description

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

About GM

Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.

Why Join Us

We believe we all must make a choice every day – individually and collectively – to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.

Benefits Overview

From day one, we're looking out for your well-being–at work and at home–so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources.

Non-Discrimination and Equal Employment Opportunities (U.S.)

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 strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.

All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws.

We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire.

Accommodations

General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, emailus or call us at 1-800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

Job Description

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 Principal Engineer you will be a technical leader in the Local Planner Controller team within Embodied AI. We formulate and solve optimization problems online, considering kinematic feasibility, collision avoidance and ride comfort.

In this role, you will provide cross-functional technical leadership for vehicle dynamics, estimation and controls systems used in GMs Super Cruise system. You will define the long-term technical vision and multi-year roadmap for vehicle dynamics and controls software.

What you’ll be doing:

• Shape the technical vision by owning long-term roadmap designs for vehicle dynamics and controls software.
• Architect and implement system designs and interface contracts with perception, prediction and planning systems, ensuring deliverables meet performance targets and safety constraints.
• Lead technical reviews and drive software engineering best practices across the team and the larger organization.
• Contribute to Active Safety, Driver Assistance, and Super Cruise.
• Guide other developers through system design and implementation focusing on safety, comfort, and compute efficiency.
• Establish verification and validation strategies for the vehicle dynamics and controls software, including simulation and on-road testing validation gates.
• Own cross-organizational leadership across partner teams like Safety, Systems Engineering, and Product to generate requirements for onboard systems.
• Lead root-cause investigations for complex integration issues, using data-driven techniques and principled experimentation, proactively creating test plans for new features and defining useful metrics for analyzing performance
• Mentor Staff and Senior engineers across teams, raising the bar on technical judgment, design quality, and execution discipline without direct people management responsibilities.
• Improve and deliver reliable software through continuous integration, automated testing, and code reviews.
• Develop and oversee top-tier software engineers within a dynamic, fast-paced, and inclusive setting.
• Help define, build, and embody GM engineering culture and principles.

Qualifications:

• Ph.D., M.S. in controls, optimization, path planning, or related. B.S. with strong work experience in the field may be considered
• 8+ years of experience in motion planning or related field
• Deep understanding of optimal controls and trajectory optimization algorithms
• 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

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

About GM

Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.

Why Join Us

We believe we all must make a choice every day – individually and collectively – to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.

Benefits Overview

From day one, we're looking out for your well-being–at work and at home–so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources.

Non-Discrimination and Equal Employment Opportunities (U.S.)

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 strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.

All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws.

We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire.

Accommodations

General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, emailus or call us at 1-800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

Job Description

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:

We are seeking a highly experienced and technically adept Senior Engineering Manager - AI/ML Engineering to lead our Data Foundations teams within the Embodied AI organization. This is a people leadership role with technical depth. You will be instrumental in shaping the future of Autonomous Vehicle (AV) development by setting the vision for and leading a dedicated team that owns the data flywheel for continuously improving GM’s Foundation AV model performance.  You will manage senior AI/ML Engineers and Engineering Managers, set the technical vision of the Data Scaling teams, collaborate with and set direction for partner teams across the organization. You will set best practices for technical execution, grow technical leaders in the team and continue to build and uplevel a very high impact 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 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 an interdisciplinary team of AI/ML engineers, TLMs and EMs 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 and indirect reports.
• Drive the technical vision for Data Foundations at GM, working with senior leadership 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: 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.

Compensation: The compensation information is a good faith estimate only. It is based on 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

About GM

Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.

Why Join Us

We believe we all must make a choice every day – individually and collectively – to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.

Benefits Overview

From day one, we're looking out for your well-being–at work and at home–so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources.

Non-Discrimination and Equal Employment Opportunities (U.S.)

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 strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.

All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws.

We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire.

Accommodations

General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, emailus or call us at 1-800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

Job Description

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 Technical Lead 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 define the technical vision and multi-quarter roadmap for vehicle dynamics and controls software, drive design quality from architecture through validation, and align multiple teams to ship reliable, scalable autonomy capabilities that meet company goals.

What you’ll be doing:

• Shape the technical vision by owning multi-quarter roadmap designs for vehicle dynamics and controls software.
• Architect and implement system designs and interface contracts with perception, prediction and planning systems, ensuring deliverables meet performance targets and safety constraints.
• Lead technical reviews and drive software engineering best practices across the team and the larger organization.
• Contribute to Active Safety, Driver Assistance, and Super Cruise development.
• Guide other developers through system design and implementation focusing on safety, comfort, and compute efficiency.
• Establish verification and validation strategies for the vehicle dynamics and controls software, including simulation and on-road testing validation gates.
• Partner with Safety, Systems Engineering, and Product to generate requirements for onboard systems.
• Lead root-cause investigations for complex integration issues, using data-driven techniques and principled experimentation, proactively creating test plans for new features and defining useful metrics for analyzing performance
• Mentor engineers across teams, raising the bar on technical judgment, design quality, and execution discipline without direct people management responsibilities.
• Improve and deliver reliable software through continuous integration, automated testing, and code reviews.
• Develop and oversee top-tier software engineers within a dynamic, fast-paced, and inclusive setting.
• Help define, build, and embody GM engineering culture and principles.

Qualifications:

• Ph.D., M.S. in controls, optimization, path planning, or related. B.S. with strong work experience in the field may be considered
• 5+ years of experience in motion planning or related field
• Deep understanding of optimal controls and trajectory optimization algorithms
• Good grasp of classical and modern feedback control theory and techniques
• Solid understanding of vehicle dynamics
• A demonstrated track record of building high quality autonomous software systems
• Deep expertise in Planning and Controls system design
• Experience with C++/Python in a large, distributed development environment
• Strong organizational and communication skills
• Passion for self-driving technology and its potential impact on the world

Bonus points!

• A background in robotics, ROS, or the AV/ADAS industry
• Experience in numerical optimization algorithms
• Experience designing software applications for safety critical systems
• Experience building and managing engineering teams

Compensation:

The compensation information is a good faith estimate only. It is based on 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 $198,900.00 to $304,800.00. 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.

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

About GM

Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.

Why Join Us

We believe we all must make a choice every day – individually and collectively – to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.

Benefits Overview

From day one, we're looking out for your well-being–at work and at home–so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources.

Non-Discrimination and Equal Employment Opportunities (U.S.)

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 strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.

All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws.

We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire.

Accommodations

General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, emailus or call us at 1-800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

Job Description

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

About GM

Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.

Why Join Us

We believe we all must make a choice every day – individually and collectively – to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.

Benefits Overview

From day one, we're looking out for your well-being–at work and at home–so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources.

Non-Discrimination and Equal Employment Opportunities (U.S.)

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 strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.

All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws.

We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire.

Accommodations

General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, emailus or call us at 1-800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

Job Description

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

• 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.

Compensation

• The salary range for this role is $185,100 and $284,100. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.

• Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.

Benefits

• GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending 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.”

Remote:This role is based remotely but if you live within a 50-mile radius of [Atlanta, Austin, Detroit, Warren, Milford, Sunnyvale or Mountain View], you are expected to report to that location three times per week.

GM-AV-1

GM does not provide immigration-related sponsorship for this role. Do not apply for this role if you will need GM immigration sponsorship now or in the future. This includes direct company sponsorship, entry of GM as the immigration employer of record on a government form, and any work authorization requiring a written submission or other immigration support from the company (e.g., H1-B, OPT, STEM OPT, CPT, TN, J-1, etc).
This role is based remotely, but if the selected candidate lives within a specific mile radius of a GM hub, they will be expected to report to the location three times a week {or other frequency dictated by your manager}.

About GM

Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.

Why Join Us

We believe we all must make a choice every day – individually and collectively – to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.

Benefits Overview

From day one, we're looking out for your well-being–at work and at home–so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources.

Non-Discrimination and Equal Employment Opportunities (U.S.)

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 strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.

All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws.

We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire.

Accommodations

General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, emailus or call us at 1-800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

Job Description

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.

GM does not provide immigration-related sponsorship for this role. Do not apply for this role if you will need GM immigration sponsorship now or in the future. This includes direct company sponsorship, entry of GM as the immigration employer of record on a government form, and any work authorization requiring a written submission or other immigration support from the company (e.g., H1-B, OPT, STEM OPT, CPT, TN, J-1, etc).
This role is 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}.

About GM

Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.

Why Join Us

We believe we all must make a choice every day – individually and collectively – to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.

Benefits Overview

From day one, we're looking out for your well-being–at work and at home–so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources.

Non-Discrimination and Equal Employment Opportunities (U.S.)

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 strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.

All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws.

We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire.

Accommodations

General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, emailus or call us at 1-800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

Job Description

Staff ML Engineer, ML Compute Platform

About the Team:

The ML Compute Platform is part of the AI Compute Platform organization within Infrastructure Platforms. Our team owns the cloud-agnostic, reliable, and cost-efficient compute backend that powers GM AI. We’re proud to serve as the AI infrastructure platform for teams developing autonomous vehicles (L3/L4/L5), as well as other groups building AI-driven products for GM and its customers.

We enable rapid innovation and feature development by optimizing for high-priority, ML-centric use cases. Our platform supports the training and deployment of state-of-the-art (SOTA) machine learning models with a focus on performance, availability, concurrency, and scalability. We’re committed to maximizing GPU utilization across platforms while maintaining reliability and cost efficiency. 

About the Role:

We are looking for a Staff Software Engineer to join our team and help us scale our platform for performance, reliability, and usability. You’ll be responsible for building critical backend services, integrating with GPU hardware and orchestration systems, and driving improvements to both system architecture and user experience.

This is a hands-on engineering role that requires a strong background in distributed systems, infrastructure, and a product mindset with a keen eye for user experience.

What you’ll be doing:

• Design core platform backend software components

• Experience cloud platforms like GCP, Azure

• Thrive in a dynamic, multi-tasking environment with ever-evolving priorities. Interface with other teams to incorporate their innovations and vice versa

• Analyze and improve efficiency, scalability, and stability of various system resources

• Proactively identify, drive and design large initiatives across GM ML ecosystem

At a Minimum We'd Like You To Have

• 7+ years of industry experience

• Expertise in either Go, C++, Python or other relevant coding languages

• Strong background with kubernetes at scale

• Relevant experience building large-scale with distributed systems

• Experience leading and driving large scale initiatives

• Experience working with Google Cloud Platform, Microsoft Azure, or Amazon Web Services

It's Preferred If You Have

• Hands-on experience in ML platforms

• Experience with GPU/TPU optimizations

• Experience with training frameworks like PyTorch, TorchX

• Experience with Ray framework

• Leadership/active participation in the open source community

• Experience infrastructure applications or similar experience

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 expected base CA compensation for this role is: $198,900 - $304,800. 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: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending 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.

About GM

Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.

Why Join Us

We believe we all must make a choice every day – individually and collectively – to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.

Benefits Overview

From day one, we're looking out for your well-being–at work and at home–so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources.

Non-Discrimination and Equal Employment Opportunities (U.S.)

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 strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.

All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws.

We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire.

Accommodations

General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, emailus or call us at 1-800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

Job Description

The Ideal Candidate:

We are seeking a motivated and innovative ECU Hardware Safety Analysis Engineer to lead circuit-level safety analysis efforts and help define and enhance internal safety analysis methodologies for in-house designed ECUs.

In this role, you will perform detailed circuit-level electronics safety assessments that support the overall System Safety Case for ECUs within a Software Defined Vehicle (SDV) electrical architecture. Your contributions will play a critical role in advancing technologies aligned with General Motors’ Vision of Zero Crashes, Zero Emissions, and Zero Congestion.

The ideal candidate brings hands-on experience conducting DFMEA at both the ECU and circuit levels, along with a strong technical foundation in hardware safety analysis. You are a proactive leader who drives innovation, fosters collaboration, and communicates complex technical concepts clearly across cross-functional teams. Success in this role requires strong business acumen, the ability to navigate ambiguity, and a strategic mindset to address system-level challenges. A passion for continuous learning and a commitment to challenging conventional approaches are essential.

The Role:

Safety is truly in your hands, as your passion for safe mobility will be key in ensuring the functional safety of our inhouse developed ECUs for our latest vehicle architecture.  In this role you are expected to have a high level of technical proficiency to perform various ECU, sub-component and circuit level safety analysis tasks that supports various SDV ECUs, and provide mentoring to more junior engineers.  This team will function in the capacity of performing the required safety analysis within an ECU design responsible organization where work products will be delivered to the System Functional Safety organization to meet the overall system safety case and safety goals of the ECU.  This team will interface across various GM engineering disciplines as well as external engineering entities to obtain needed information for the required safety analysis work.

What You’ll Do:

• Perform ECU circuit level safety analysis, hazard identification and risk mitigations using qualitative and quantitative methods on a multitude of ECUs.
• Support ECU Safety strategy development and deploy safety strategies that balance overall System Safety with feature availability & performance.
• Perform detailed ECU circuit level safety analysis using various software analysis & documentation tools in the following areas:
• DFMEA (Design Failure Mode Effects Analysis)
• FIT (Failures In Time)
• FMEDA (Failure Modes, Effects and Diagnostic Analysis)
• FTA (Fault Tree Analysis)
• Drive ECU, sub-component and/or circuit level design modifications determined necessary from the safety analysis work performed.
• Support development of new and/or revise existing technical safety related requirements for ECU CTRS (Component Technical Requirements Specification).
• Actively lead, participate and contribute in System Safety GSSLT (Global Subsystem Leadership Team), ECU HW Change Control Board and ECU safety analysis Peer Review forums.
• Stay abreast of new technologies and safety analysis techniques.
• Domestic and/or international travel as required (minimal, 10% max).

Your Skills & Abilities (Required Qualifications):

• 7+ years engineering experience in product development with safety critical systems, ECUs or electronic circuit safety analysis.
• Master of Science degree in Mechanical Engineering, Electrical Engineering, Aerospace Engineering, Physics, Computer Science, or another related Engineering degree.
• Electronic Circuit and/or Software design, analysis, development, validation experience.
• Deep knowledge of safety critical embedded controls with at least one automotive subsystem or experience with a complex safety system in other industries.
• Good knowledge of Semiconductor physics, structures, fundamentals, models and failure mechanisms.
• Demonstrated leadership and project management of complex technical projects.
• Ability to provide technical leadership and mentorship to diverse global teams.
• ISO 26262 Certified Safety Expert

What Will Give You A Competitive Edge (Preferred Qualifications):

• 10+ years engineering experience in product development with safety critical systems, ECUs or electronic circuit safety analysis.
• In-depth familiarity with other functional safety standards such as IEC 61508, IEC 62304, or DO-178C.
• Familiarity with safety analysis tools, techniques and standards:
• Mentor or Cadence tool suite used in electronics design
• Medini or Plato-e1ns or other analysis/documentation tool for DFMEA
• Medini, Isograph, Fault Tree + or other analysis tool for FMEDA / FTA
• Siemens SN29500, IEC 62380 or other reliability standards for FIT rate analysis
• Emerging safety standards such as ISO 21448 and UL 4600
• Knowledge of electronics sub-component mechanical design integration within ECUs as it relates to circuit implementation reliability and failure mechanisms.
• Familiarity with common safety mechanisms implemented in Automotive ECU's
• Machine learning, simulation methods and data acquisition.

LI-JK3

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}.

About GM

Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.

Why Join Us

We believe we all must make a choice every day – individually and collectively – to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.

Benefits Overview

From day one, we're looking out for your well-being–at work and at home–so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources.

Non-Discrimination and Equal Employment Opportunities (U.S.)

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 strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.

All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws.

We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire.

Accommodations

General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, emailus or call us at 1-800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.