Senior Manager, Embodied AI

Job Description

We areseekingan experienced and technically strong SeniorEngineering Manager AI/MLEngineeringforthe Data Foundations organization of Embodied AI. This role emphasizes daytodaypeoplemanagement 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 GMs Foundation AV model performance.

You will manage AI/ML Engineers support their career growth and guide the teams technical 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 highimpact highperformanceteam.

About the Team:

The Data Scaling group owns the Data Flywheel for AVFoundationmodel 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 forthe productsuccess. 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 thatattemptto 10x the data used its diversity and impact on the models with successive major releases. The team uses existingvery largedatasets 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 - acrossdifferent sources delivering the maximum value to the model through everyadditionalexample.

• Work withcutting-edgetechnology and a collaborative high-impact team of AI/ML engineers data scientists and engineers who are passionate aboutleveragingadvanced AI techniques to drive innovation for L2 L3 and L4 applications.

• Contribute to the safety reliability and scalability of next-generation autonomous vehicles.

What Youll Do:

• Manage a team of AI/ML engineersbuilding and scaling the Data Flywheel at GM.

• Raise the engineering bar of the team: set best practices give feedback and provide mentorship to directreports.

• Drive the technical vision foraspects ofData Foundations at GM working with seniorleadersand members of your team.

• Define theprojectroadmap set development priorities and align the teams work with companyobjectivesand product milestones.

• Collaborate cross-functionally with teams involved in AV model development and validation and ensure we meet organizational goals productrequirementsand scaling needs.

• Promotea 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 recorddelivering 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 sourcesinlarge models.

• Excellent communication collaboration and mentoring abilities with a passion for driving innovation in autonomous technology.

• Strong organizational communication andpeopleleadership skills.

Bonus Points

• 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 likeNumpy 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.

Remote/Hybrid: This role is categorized as fully remote or hybrid.

Compensation: The compensation information is a good faith estimate only. It is based on what a successful applicant might be paidin accordance withapplicable state laws. The compensation may not berepresentative for positionslocatedoutside of the California Bay Area.

• The salary range for this role is $296300-$453900. 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 options include medical dental vision Health Savings Account Flexible Spending Accounts retirement savings plan sickness and accident benefits life insurance paid vacation & holidays tuitionassistanceprograms employeeassistanceprogram GM vehicle discounts and more.

Company Vehicle: Upon successful completion of a motor vehicle report review you will be eligible toparticipatein a company vehicle evaluation program through which you will be assigned a General Motors vehicle to drive and evaluate. Note: program participantsare required topurchase/lease a qualifying GM vehicle every four years unless one of a limited number of exceptions applies.

Relocation: This job may be eligible for relocation benefits.

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About GM

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Benefits Overview

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