Senior Engineering Manager - AI/ML Engineering, Embodied AI Data Foundations

Overview

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 Foundation 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 elevate 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 lean 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 of 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 for production workflows.
• Experience 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.

Hybrid

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.

Compensation

The compensation information 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

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