Staff Robotics Engineer, Planning and Controls

General Motors (GM)

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Hybrid

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Work type
Hybrid
Location
Sunnyvale, CAAustin, TXMountain View, CAWarren, MI
Employment
Full-time
Posted
61 days ago
Freshness
Confirmed live today

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About General Motors (GM)

General Motors (GM) is a leading American multinational automotive corporation founded in 1908 and headquartered in Detroit, Michigan.

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TL;DR · Staff Robotics Engineer, Planning and Controls

JOB TITLE: Staff Robotics Engineer - Planning and Controls As a Technical Lead within the Local Planner Controller team in Embodied AI, you will provide cross-functional leadership for vehicle dynamics, estimation, and controls systems used in the Super Cruise system. You will own the multi-quarter roadmap, architect system designs, and define interface contracts with perception, prediction, and planning systems. Your daily work involves formulating and solving online optimization problems to ensure kinematic feasibility, collision avoidance, and ride comfort. You will utilize C++, Python, and numerical optimization algorithms to build reliable autonomous software. Key responsibilities include leading technical reviews, establishing verification strategies for simulation and on-road testing, and performing root-cause investigations for complex integration issues. You will mentor engineers on safety-critical system design, trajectory optimization, and classical or modern feedback control theory.

What you'll do

  • Own the multi-quarter roadmap and technical vision for vehicle dynamics and controls software.
  • Architect system designs and interface contracts with perception, prediction, and planning systems.
  • Lead technical reviews and enforce software engineering best practices across the organization.
  • Establish verification and validation strategies including simulation and on-road testing gates.
  • Lead root-cause investigations for complex integration issues using data-driven techniques.
  • Mentor engineers on system design, safety, comfort, and compute efficiency.
  • Improve software reliability through continuous integration, automated testing, and code reviews.

What we're looking for

  • Ph.D. or M.S. in controls, optimization, path planning, or a related field.
  • B.S. with strong work experience in the field may be considered.
  • 5+ years of experience in motion planning or a related field.
  • Deep understanding of optimal controls, trajectory optimization algorithms, and vehicle dynamics.
  • Good grasp of classical and modern feedback control theory and techniques.
  • Demonstrated track record of building high-quality autonomous software systems.
  • Experience with C++/Python in a large, distributed development environment.
  • Background in robotics, ROS, or the AV/ADAS industry (preferred).

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