Senior Autonomous Driving: Motion Planning & Control

Imagry | Autonomous Driving; San Jose (CA); On-site; USD 140,000 - 180,000; Full time

Job summary

Imagry | Autonomous Driving in San Jose, CA is seeking a Senior Motion Planning and Control Engineer to design and implement advanced motion planning, guidance, and control algorithms for our autonomous driving systems, with a strong emphasis on real‑time performance on embedded platforms.

You will analyze complex traffic scenarios, validate algorithms through system‑level tests, and push improvements in vehicle dynamics, sensor fusion, and localization.

Qualifications

• Degree in Electrical, Mechanical, or Aeronautical Engineering with strong control theory.
• Extensive experience with motion planning and control for autonomous systems.
• Proficient in C++, Python, or MATLAB.
• Experience with real-time embedded systems.

Responsibilities

• Develop and implement advanced algorithms for guidance and control in autonomous driving systems.
• Design, conduct, and analyze system-level tests and experiments to validate performance of control algorithms.
• Optimize control algorithms for real-time execution on embedded platforms and systems.
• Stay updated with the latest research and advancements in autonomous vehicle motion planning and control.
• Actively contribute to the team's technical discussions, code reviews, and brainstorming sessions.

Skills

Motion planning

Control algorithms

C++

Python

MATLAB

Education

Electrical Engineering

Mechanical Engineering

Aeronautical Engineering

Tools

Real-time systems

Sensor fusion

Localization algorithms

Kalman filters

Job description

Imagry | Autonomous Driving in San Jose, CA is seeking a Senior Motion Planning and Control Engineer to design and implement advanced motion planning, guidance, and control algorithms for our autonomous driving systems, with a strong emphasis on real‑time performance on embedded platforms.

You will analyze complex traffic scenarios, validate algorithms through system‑level tests, and push improvements in vehicle dynamics, sensor fusion, and localization.