Principal Ml Tech Lead Manager - Embodied Ai Onboard Autonomy

General Motors

Austin, Texas, United States
Base: $296,300.00 to $423,900.00; bonus: incentive...
Hybrid
Deep expertise in robotics planning and control
Experience leading production ml systems
Strong software engineering skills in python or c++
This role involves defining the technical vision and architecture for trajectory generation systems used in autonomous driving

Job Summary

  • This role involves defining the technical vision and architecture for trajectory generation systems used in autonomous driving.
  • The successful candidate will lead a high-performing team of engineers building ML-driven trajectory generation systems from research to production deployment.
  • General Motors offers a variety of health and wellbeing benefit programs including medical, dental, vision, and retirement savings plans.

Matching Summary

This role involves defining the technical vision and architecture for trajectory generation systems used in autonomous driving.

Salary

Base: $296,300.00 to $423,900.00; Bonus: Incentive pay program based on company and individual performance; Benefits: Medical, dental, vision, HSA, FSA, retirement plan, life insurance, tuition assistance, vehicle discounts

Skills & Requirements

Must-have

  • Deep expertise in robotics planning and control
  • Experience leading production ML systems
  • Strong software engineering skills in Python or C++
  • Architect scalable training pipelines
  • Deploy ML models into safety-critical environments

Nice-to-have

  • Background in imitation learning or reinforcement learning
  • Experience with generative models
  • Foster culture of innovation and ownership
  • Mentor senior engineers and technical leaders
  • Collaborate across cross-functional teams

Key Requirements

  • MS or PhD in Computer Science, Robotics, or Machine Learning
  • Experience deploying ML models into real-world environments
  • Demonstrated ability to drive large technical initiatives

Work Rights

Not specified

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