We are looking for a Senior DSP Software Engineer who will lead design and implementation of our innovative signal processing algorithms on the industry cutting-edge target platform, consisting of embedded cores, DSPs, and dedicated accelerators.
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