Algorithms Manager

We are looking for an Algorithms Manager who will lead the design and implementation of the RadSee’s automotive imaging radar Algorithms stack.

What will you do?

  • Lead the team which defines and scales up RadSee’s radar high performance algorithms and make them meet the ADAS and Autonomous Vehicles standards and beyond
  • Drive and consistently improve RadSee’s radar performance
  • Identify key areas of Next Generation improvements, recommend research directions and system solutions
  • Design, develop and implement Radar data analysis methodology
  • Be a knowledge source for automotive radar KPI’s
  • Work closely with different stakeholders that include external customers and internal interfaces like SW, HW, and others

What are we looking for?

  • MSc/ PhD in Electrical Engineering, Computer Science or related fields
  • More than 5 years experience in Algo research and development
  • At least 5 years experience in leading an algorithm team
  • Proven experience in independent research work
  • Proven track record in delivery on schedule
  • Fast and self-learning, self-directed and motivated capabilities
  • Readiness to work in a challenging start-up environment
  • A team player

Preferred Qualifications

  • Familiarity with radar algorithms and system, especially in the automotive field
  • Hands-on experience implementing, validating, and testing complex algorithms

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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