CO-143 Algo and Control Engineer

Imagry

  • San Jose, CA
  • 30+ days ago

    Highlights

    As a Senior Motion Planning & Control Engineer, you'll architect the algorithms that determine how our vehicles perceive, reason about, and navigate the real world — directly shaping the safety and intelligence of our autonomous systems. Build, run, and analyze system-level tests to validate algorithm performance across complex, real-world scenarios.

    Numbers & Facts

    LocationSan Jose, CA

    Description


    Senior Motion Planning & Control Engineer Imagry · San Jose, CA · On-Site

    Join Imagry at the forefront of autonomous driving. As a Senior Motion Planning & Control Engineer, you'll architect the algorithms that determine how our vehicles perceive, reason about, and navigate the real world — directly shaping the safety and intelligence of our autonomous systems.

    What You'll Do

    • Design and implement advanced guidance and control algorithms for autonomous driving systems
    • Build, run, and analyze system-level tests to validate algorithm performance across complex, real-world scenarios
    • Optimize control algorithms for real-time execution on embedded platforms
    • Translate intricate traffic situations into safe, efficient vehicle behavior
    • Keep pace with the latest research in autonomous vehicle motion planning and control
    • Collaborate actively through technical discussions, code reviews, and team brainstorming

    Requirements

    • A degree in Electrical, Mechanical, Aeronautical Engineering, or a related field, with a strong foundation in control theory
    • Deep, hands-on experience with motion planning and control algorithms for autonomous systems
    • Proficiency with complex electromechanical drive systems, dynamic systems, and control theory
    • Strong programming skills in C++, Python, or MATLAB

    Bonus Points

    • Mathematical fluency in probabilistic reasoning, optimization, and linear algebra
    • Understanding of vehicle dynamics and experience with inertial navigation systems
    • Familiarity with real-time systems and optimization techniques
    • Knowledge of sensor fusion and localization algorithms
    • Experience with state estimation and filtering methods such as Kalman or particle filters


    Requirements:


     

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