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Senior Algorithm Developer

Tel Aviv · Full-time

About The Position

By powering next generation road safety, we’re achieving something remarkable.

Built on our proprietary chipset, Arbe ultra high-resolution 4D imaging radar is disrupting vehicle sensor technology to drive the autonomous revolution forward. Positioned as the ‘missing link’ sensor in autonomous driving, Arbe radar is redefining road safety today while making possible the autonomous vehicle revolution of tomorrow.

We’re looking for a talented Senior Algorithm Developer to join Arbe's Algorithms team. This individual will become one of our elite team of algo researchers and will have a tremendous contribution to Arbe’s success by creating the next generation radar and its deep learning algorithms.

Responsibilities

  • Create groundbreaking new processing algorithms for the next generation of the radar, using deep learning and other techniques
  • Simulate and test new algorithms
  • Research the latest publications in radar technology, signal processing, and deep learning
  • Tackle non-trivial data to identify problems and suggest solutions for the signal processing (RADAR) algorithms
  • Design experiments in the lab and in real world scenarios
  • Shadow the software development of the algorithms solutions
  • Collaborate with our Software, System, Integration and Hardware teams
  • Work with the development team to implement algorithms in a real-time environment

Requirements

  • M.Sc. or higher in Physics / Maths / Computer Science/ Electrical engineering
  • Substantial academic or work experience in signal processing- Fourier transforms and FFT-s, fixed-point arithmetic, S/N analysis, sampling, etc
  • Hands-on experience in Matlab or Python
  • A problem solver with strong analytical skills
  • A team player with the ability to work independently
  • Fast learner
  • Motivated and creative

Preferred Qualifications

  • Knowledge of radar systems
  • Familiarity with spatial-signal processing
  • Academic or work experience in creating innovative deep learning networks


Important

Applicants who’ve worked with deep learning networks for signal data are encouraged to apply - even without work experience outside of academia.

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