Computer Vision Engineer

We are looking for an experienced Computer Vision Engineer will lead design and implementation of the perception software stack, a fundamental building block in RadSee’s next-generation high-resolution 4D imaging radar.

What will you do?

  • Lead algorithms research and development for the radar’s perception layer
  • Take part in algorithmic effort for image/video enhancement and analysis
  • Be a part of a goal-oriented work group and dynamic research & development environment
  • Work in close collaboration with CTO and Algorithms team

What are we looking for?

  • M.Sc./ Ph.D. in Electrical/Computer Engineering, Computer Science, Mathematics, or equivalent
  • Over 5 years of experience in Computer Vision or Image Processing algorithm development
  • Over 2 years of algorithm research in relevant field
  • Ability to understand system needs and formulate and implement complex algorithms efficiently
  • Hands-on experience with MATLAB, Python
  • Familiarity with Machine Learning, A/I – advantage
  • Familiarity with C/C++ – advantage

About RadSee

RadSee has developed the first 4D imaging radar to deliver outstanding performance at a low cost to the ADAS and autonomous vehicle markets. The radar – a combination of off-the-shelf components, patented technology, and unique system architecture – delivers industry-leading performance, the flexibility to fit into existing Tier 1 and OEM systems, and a cost structure that enables large-scale adoption into ADAS and autonomous driving systems. The RadSee engineering and leadership team has decades of automotive, electrical, and algorithmic experience, and more than 50 registered patents


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