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Salary
≈ $113k – $273k per year (Estimated)
Location
In office (San Jose)
Visa
Filed H-1B visas in the last two years
Employment
Full-Time

Confirmed on the employer's own hiring board on Oct 21, 2026. First seen by Alion on Jun 18, 2026.

Overview
Company
Impact
Profile match
Imagry builds mapless autonomous driving software that perceives and plans from camera input alone, without pre-built high-definition maps. Founded in 2015 in Haifa, it licenses its stack to carmakers and runs autonomous bus pilots in Israel and Europe. The vision-first approach is designed to work in cities where map coverage is unavailable or stale.

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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