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
Skills Required
- Degree in Electrical, Mechanical, Aeronautical Engineering, or a related field
- Strong foundation in control theory
- Deep hands-on experience with motion planning and control algorithms for autonomous systems
- Experience with complex electromechanical drive systems and dynamic systems
- Strong programming skills in C++, Python, or MATLAB
- 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 Kalman or particle filters
What We Do
Imagry develops real-time, mapless autonomous-driving software for public transit, fleet vehicles, buses, shuttles, and passenger cars. Its vision-based AI uses deep learning, visual-spatial perception, and imitation-learning decision systems to support Level 3/4 autonomy without HD maps, LiDAR, or costly sensors. The hardware-agnostic platform integrates with existing vehicle systems and is designed to provide scalable, cost-effective autonomy for automakers and transit operators.
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