Principal ML Tech Lead Manager - Embodied AI Onboard Autonomy

Principal Technical Lead Manager (TLM) to lead the Trajectory Generation team within the Embodied AI organization, combining deep technical leadership in machine learning and robotics with people leadership and organizational impact.

As the leader of this team, you will shape the algorithms and ML systems that translate sensor inputs into safe, smooth, and human-like driving behavior across diverse real‑world scenarios. You will lead a high‑performing team of engineers building ML‑driven trajectory generation systems, and drive the roadmap that takes these models from research to production deployment on vehicles.

• Define and drive the technical vision and architecture for trajectory generation systems used in autonomous driving.
• Lead the development of ML‑based trajectory generation models capable of handling complex and dynamic driving environments.
• Architect scalable training pipelines using large‑scale driving datasets and simulation environments.
• Guide the integration of trajectory generation models into real‑time onboard systems with strict latency and safety requirements.
• Influence the design of next‑generation embodied AI architectures for driving.
• Mentor senior engineers and help develop the next generation of technical leaders.
• Raise the bar for engineering excellence, modeling rigor, and production‑quality systems.
• Foster a culture of innovation, ownership, and collaborative problem solving.
• Lead complex technical initiatives spanning multiple teams across the autonomous driving stack.
• Collaborate closely with teams working on data, perception, simulation, safety validation, and onboard systems.
• Define roadmaps and priorities aligned with product milestones and safety goals.
• Drive solutions from research prototypes through production deployment.

• MS or PhD in Computer Science, Robotics, Machine Learning, or related field.
• Experience leading technical teams delivering production ML systems.
• Deep expertise in robotics planning and control, imitation learning or reinforcement learning, generative models, or large‑scale machine learning systems.
• Strong software engineering skills (Python, C++, or similar).
• Experience deploying ML models into real‑world or safety‑critical environments.
• Demonstrated ability to define architecture and drive large technical initiatives across teams.

• Experience with autonomous driving, robotics, or embodied AI systems.
• Background in trajectory planning, motion planning, or behavior modeling.
• Experience with large‑scale training infrastructure and distributed ML pipelines.
• Experience with simulation‑based training or evaluation of driving policies.

This role is based remotely but if you live within a 50‑mile radius of Austin, Detroit, Warren, Milford, or Mountain View, you are expected to report to that location three times per week, at minimum.

• The salary range for this role is $ to $. 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.

GM offers a variety of health and wellbeing benefit programs, including medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation and holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.

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