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

Apply

Upload your resume (PDF format)