Distinguished Engineer, Trajectory Generation

gmstcatharines.ca

Not specified (assumed hybrid or flexible based on industry trends).
Trajectory generation for embodied ai
Real-time planning under constraints
Integration with perception and control
The job posting is for a Distinguished Engineer specializing in Trajectory Generation at GM, focusing on the development of L3/L4-capable driverless technology. The ideal candidate will possess extensive experience in robotics and machine learning, leading the planning stack for autonomous vehicles while ensuring safety and performance

Job Summary

  • We are building a nationwide L3/L4-capable driverless product that is safe, comfortable, and robust across diverse U.S. highway conditions under strict real-time and onboard-compute constraints.
  • As Distinguished Robotics Engineer for Trajectory Generation, you will own the technical vision, architecture, and quality bars for the planning stack from sensors to trajectories including a modern ML planner with multi-stage training.
  • General Motors is committed to fostering an inclusive workplace that creates an environment in which employees can thrive and develop better products for customers.

Matching Summary

Match Score: 85

The job posting is for a Distinguished Engineer specializing in Trajectory Generation at GM, focusing on the development of L3/L4-capable driverless technology. The ideal candidate will possess extensive experience in robotics and machine learning, leading the planning stack for autonomous vehicles while ensuring safety and performance.

Skills & Requirements

Must-have

  • trajectory generation for embodied AI
  • real-time planning under constraints
  • integration with perception and control
  • large-scale imitation learning
  • uncertainty estimation and failure analysis
  • modern deep learning frameworks

Nice-to-have

  • foundation models integration
  • production-grade autonomous driving experience
  • cross-functional roadmap influence
  • generative model methods
  • reinforcement learning for policy optimization

Key Requirements

  • 10+ years experience in trajectory generation or robotics
  • MS or PhD in Machine Learning, Robotics, or related field
  • experience with fleet-scale data and large-scale experiments
  • strong communication skills with technical and non-technical stakeholders

Work Rights

Not specified

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