New

Senior Manager, Embodied AI

2 Locationssenior
OtherManager
0 views0 saves0 applied

Quick Summary

Key Responsibilities

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.

Requirements Summary

BS, MS, or PhD in Robotics, Computer Science, Engineering, or a related technical field.

Technical Tools
OtherManager

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 read
✓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.
✓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.

Responsibilities

~1 min read
  • →

    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. 

  • →

    Drive the technical vision for aspects of Data Foundations at GM, working with senior leaders 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.  

  

Requirements

~1 min read
  • 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 Have

~1 min read
  • 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. 

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

Where is the job
—
Location terms not specified
Who can apply
Same as job location

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

freshnesssource trustcontent trustemployer trust
Newsletter

Stay ahead of the market

Get the latest job openings, salary trends, and hiring insights delivered to your inbox every week.

A
B
C
D
Join 12,000+ marketers

No spam. Unsubscribe at any time.

Senior Manager, Embodied AI