Control Engineer

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

Senior Motion Planning and Control Engineer,

San Jose, CA, On-Site.

[e-mail]

you will be pivotal in designing, developing, and implementing state-of-the-art motion planning, guidance, and control algorithms for our autonomous driving systems. You will analyze intricate traffic scenarios and construct algorithms to ensure safe, efficient vehicle behavior.

Your work will directly impact our autonomous vehicles' safety, efficiency, and performance.

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 the 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.

Qualifications:

• A degree in Electrical, Mechanical, Aeronautical Engineering or a related field with a strong emphasis on control theory.
• Extensive experience with motion planning, and control algorithms for Autonomous Systems.
• Proficient with complex electromechanical drive systems, dynamic systems, and control theory.
• Hands-on experience with programming languages such as C++, Python, or MATLAB.

Preferred Qualifications:

• Strong mathematical skills, with an emphasis on probabilistic reasoning, optimization techniques, and linear algebra.
• Solid understanding of vehicle dynamics and experience with inertial navigation systems.
• Experience with real-time systems and optimization techniques.
• Knowledge of sensor fusion, and localization algorithms.
• Experience with state estimation and filtering techniques (e.g., Kalman filters, particle filters).