Algorithms ManagerManagement

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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