Principal ML Tech Lead Manager - Embodied AI Onboard Autonomy

What You'll Do

• 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.
• Arcitect 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, onboard systems.
• Define roadmaps and priorities aligned with product milestones and safety goals.
• Drive solutions from research prototypes through production deployment.

  Your Skills & Abilities

  • MS or PhD in Computer Science, Robotics, Machine Learning, or related field.
  • Experience leading technical teams delivering production ML systems.
  • Deep expertise in one or more areas: robotics planning and control, imitation learning or reinforcement learning, generative models, 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.

  Preferred Qualifications

  • 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.

    Remote/Hybrid

    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.

    Compensation

    The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of the California Bay Area. The salary range for this role is $296,300.00 to $423,900.00. 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

    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.

    Relocation

    This job may be eligible for relocation benefits.

    Company Vehicle

    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. Note: program participants are required to purchase/lease a qualifying GM vehicle every four years unless one of a limited number of exceptions applies.

    Note

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    Why Join Us

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    Benefits Overview

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