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Algorithms Engineer
We are looking for an Algorithms Engineer who will handle the design and implementation of the RadSee’s automotive imaging radar Algorithms stack.
What will you do?
Be part of the team that defines and scales up RadSee’s radar high performance algorithms and make them meet the ADAS and Autonomous Vehicles standards and beyond
Consistently improve RadSee’s radar performance
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
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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