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

General Motors•Sunnyvale, CA

1d•Hybrid

About The Position

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 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 internal and retail fleets but also synthetic sim-based datasets. Why Join Us? Scale up AV foundation model pre-training and fine-tuning with data to its maximum capacity – into billions+ of examples - across different sources, delivering the maximum value to the model through every additional example. Work with cutting-edge technology and a collaborative, high-impact team of AI/ML engineers, data scientists and engineers who are passionate about leveraging advanced AI techniques to drive innovation for L2, L3 and L4 applications. Contribute to the safety, reliability, and scalability of next-generation autonomous vehicles.

Requirements

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.

Nice To Haves

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.

Responsibilities

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.

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.
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.

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