Imagry

4 Imagry Jobs Hiring Near You

Mid-Senior Algorithm Engineer | Motion Planning & Decision Making Imagry is looking for a talented Algorithm Engineer (Mid-Senior level) to join our team in San Jose, CA, US. imagry.7F.66C ...

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Senior Deep Learning Engineer, Computer Vision imagry.E4.E30@comeetapply.com Location: San Jose, CA , On Site We are looking for a capable and experienced Sr. Deep Learning Engineer to join our R&D ...

About the Role We are looking for a skilled and experienced C++ Engineer to design and build high-performance software on Linux. You will be a key contributor to an advanced multi-disciplinary system ...

Imagry Jobs Information

Infographic showing various job openings at Imagry in the United States as of May 2026, with employment types broken down into 100% Full Time. Highlights an 100% Physical job distribution.

Motion Planning Engineer

Imagry

San Jose, CA โ€ข On-site

Full-time

Posted 29 days ago


Job description


Mid-Senior Algorithm Engineer | Motion Planning & Decision Making

Imagry is looking for a talented Algorithm Engineer (Mid-Senior level) to join our team in San Jose, CA, US.


imagry.7F.66C@comeetapply.com


Responsibilities:

In this role, the focus is on developing cutting-edge motion planning and decision-making algorithms for autonomous vehicles.

This position offers a clear growth path toward team leadership.

Full-Time, On-Site in San Jose, CA, US.


Requirements:

Requirements:

  • Experience: At least 3 years of hands-on experience as an Algorithm Engineer
  • Education: M.Sc. (or equivalent) in Computer Science, Electrical Engineering, Physics, or a related quantitative field from a top-tier university
  • Outstanding B.Sc. graduates from leading universities are also encouraged to apply!
  • Technical Expertise: Proven experience in one or more of the following fields: Motion Planning, Decision Making, Optimization, Reinforcement Learning, Guidance, or LLM Fine-tuning
  • Coding Skills: Proficiency in both Python and C++ (at a code-review standard)
  • Bonus Points: Previous experience within a multi-disciplinary R&D team in robotics or autonomous systems