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

The post Algorithms Engineer appeared first on RadSee.

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

The post Algorithms Manager appeared first on RadSee.

What will you do:

• Perform analysis, design, implementation and validation of innovative MIMO imaging radar algorithms for next generation ADAS and autonomous
• vehicles on our target platform
• Participate in SW architecture design and perform signal processing algorithm porting & optimization
• Address real-time constraints in a challenging memory/compute bound framework
• Be part of a goal-oriented workgroup and dynamic research & development environment
• Work in close collaboration with CTO and SW architecture team

What are we looking for?

• B.Sc/M.Sc. in Electrical/Computer Engineering, Computer Science, or equivalent
• Over 5 years of embedded algorithm development experience on a real-time DSP system
• Over 2 years of experience in C/C++ programming in real-time embedded platforms
• Ability to understand and implement complex algorithms efficiently
• Experience with implementing Radar or MIMO Signal Processing on dedicated DSPs, or proprietary accelerators
• Familiarity with SIMD architecture and math libraries
• Familiarity with Computer Vision and A/I – advantage
• Familiarity with robotics/autonomous SW stack – advantage
• Familiarity with Python – 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

The post Senior DSP Software Engineer appeared first on RadSee.

What will you do?

• Be part of full-cycle development of embedded SW for innovative automotive radars
• Take a lead role in embedded system SW design and implementation on the industry’s cutting-edge embedded SoC
• Integrate the team’s SW over the real-time embedded controller. Bring SW to validation readiness to the validation team. Bring SW to the test vehicles
• Specify and balance system-SW requirements to achieve the run time restrictions of the compute platform
• Work in collaboration with the CTO and Algorithms team

What are we looking for?

• Bachelor’s Degree in Electrical Engineering, Computer Science or Computer Engineering. M.Sc. – an advantage
• Over 7 years of experience in embedded systems programming
• Strong programming skills in C or C++ in embedded environment
• Strong debug capabilities
• Ability to design, implement and integrate code and algorithms into embedded controllers
• Team Player
• “Hands on“ Experience in Linux
• Experience in Automotive Software design – advantage
• Familiarity with robotics / autonomous SW stack – advantage
• Experience in Linux kernel programming – advantages
• Familiarity with AUTOSAR – advantage
• Familiarity with Signal Processing – 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.

The post Senior RT Embedded Engineer appeared first on RadSee.