Senior Algorithm Engineer — Motion Planning for Autonomy

Imagry | Autonomous Driving; San Jose (CA); On-site; USD 120,000 - 190,000; Full time

Job summary

Imagry is seeking a Mid-Senior Algorithm Developer to join our San Jose team focused on motion planning and decision-making for autonomous vehicles. You will implement advanced algorithms and collaborate with multi-disciplinary teams to drive system performance.

The ideal candidate has 3+ years of hands-on algorithm engineering, a Master’s degree in a quantitative field, and strong skills in Python and C++. There is a clear path toward team leadership.

Qualifications

• At least 3 years of hands-on Algorithm Engineer experience.
• M.Sc. (or equivalent) in CS, EE, Physics or related field from a top-tier university.
• Outstanding B.Sc. graduates from leading universities encouraged to apply.
• Proven experience in motion planning, decision making, optimization, RL, guidance or LLM fine-tuning.
• Proficient in Python and C++ (code-review standard).
• Bonus: experience in a multi-disciplinary R&D team in robotics or autonomous systems.

Responsibilities

• Develop motion planning and decision-making algorithms for autonomous vehicles.
• Contribute to optimization and real-time decision making in integrated systems.
• Grow toward leadership responsibilities within a multidisciplinary team.

Skills

Motion Planning

Decision Making

Optimization

Reinforcement Learning

Guidance

LLM Fine-tuning

Python

C++

Education

M.Sc. in Computer Science / Electrical Engineering / Physics

Bachelor's degree in a related technical field

Job description

Imagry is seeking a Mid-Senior Algorithm Developer to join our San Jose team focused on motion planning and decision-making for autonomous vehicles. You will implement advanced algorithms and collaborate with multi-disciplinary teams to drive system performance.

The ideal candidate has 3+ years of hands-on algorithm engineering, a Master’s degree in a quantitative field, and strong skills in Python and C++. There is a clear path toward team leadership.