Senior RT Embedded Engineer

We are looking for a Senior RT Embedded Engineer to join our design and development team, responsible for the full-cycle development of an innovative 4D imaging radar for the automotive sector. You will take a lead role in design and implementation of real-time software for a multi-core automotive SoC platform, consisting of embedded cores, DSPs and dedicated accelerators.

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 working on a real-time SW or FW project from inception to production across multiple disciplines
  • Over 5 years of SW & algorithm development experience in embedded systems
  • Strong programming skills in embedded C or C++
  • Ability to design, implement and integrate code and algorithms into embedded controllers
  • Experience with RTOS and/or Linux
  • Experience in Automotive Software design – advantage
  • Familiarity with robotics / autonomous SW stack – advantage
  • 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


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