Job DescriptionAt 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.
About GMOur 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 OverviewFrom 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
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