Senior Manager, Embodied AI
Quick Summary
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.
BS, MS, or PhD in Robotics, Computer Science, Engineering, or a related technical field.
We are seeking an experienced and technically strong Senior Engineering Manager – AI/ML Engineering for the Data Foundations organization of Embodied AI. This role emphasizes day‑to‑day people management, technical guidance, and effective execution. You will contribute to the future of Autonomous Vehicle (AV) development by helping drive the vision and operational excellence of the data flywheel that continuously improves GM’s Foundation AV model performance.
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.
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.
What We Offer
~2 min readResponsibilities
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Manage a team of AI/ML engineers building and scaling the Data Flywheel at GM.
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Raise the engineering bar of the team: set best practices, give feedback, and provide mentorship to direct reports.
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Drive the technical vision for aspects of Data Foundations at GM, working with senior leaders and members of your team.
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Define the project roadmap, set development priorities, and align the team’s work with company objectives and product milestones.
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Collaborate cross-functionally with teams involved in AV model development and validation and ensure we meet organizational goals, product requirements and scaling needs.
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Promote a collaborative, inclusive, and high-performance team culture, and champion the GM engineering values and principles.
Requirements
~1 min readBS, 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.
Nice to Have
~1 min readA 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.
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.
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.
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, email us 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.
Location & Eligibility
Listing Details
- First seen
- September 29, 2026
- Last seen
- September 29, 2026
Posting Health
- Days active
- 0
- Repost count
- 0
- Trust Level
- 55%
- Scored at
- September 29, 2026
Signal breakdown
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