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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.
Job Responsibility:
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:
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:
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