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Mobileye Signal Processing Algorithms Team Leader 
Israel, Haifa District, Haifa 
19544210

25.06.2024
What will your job look like?
  • Lead and Mentor a team of highly skilled and success driven signal processing engineers
  • Represent algo perspective of system level discussions such as laser design, predistortion algorithms, non linear effects and link budget
  • Develop ASIC(HW) and FW(SW) based algorithms for sampling, pre-processing, calibration, and processing of multi-channel RF signals for LiDAR applications, as well as range and velocity estimators, and image processing of the 4D (Range/Directions/Velocity) representation of the LiDAR output
  • Conduct research w.r.t improvements and next generation Lidar concept
  • Deliver fixed point ASIC algorithm specifications to the VLSI team and DSP Algorithms specifications to the SW team
  • Develop comprehensive E2E simulation infrastructure for modeling and verification of algorithm pipes at system-level, and release algorithms
  • To perform sophisticated system optimization of the sensing KPI performance of the algorithmic chain under various tradeoffs, and sign of the algo-pipe performance
  • To analyze and optimize algorithms based on field-recorded data from our LiDAR
All you need is
  • BSc. degree in electrical engineering or related filed. MSc. is an advantage
  • Proven experience in algorithms development for ASIC / FPGA teams
  • At least 5 years of relevant work experience
  • Proficiency in Matlab is a must. Python and C/C++ - advantage
  • Good Understanding of multidisciplinary system modules - optics, mechanics, algorithms, and of system-level application.
  • Experience in DSP for RF/optic signals (communication, RADAR, sensors) – advantage
  • Experience in algo/system engineering development of electro-optic multi-disciplinary systems and/or of an imaging system of other modalities – advantage
  • Experience with image analysis/imaging sensors development and ML – advantage
  • Flexible and adaptable to work in a fast-paced work environment while supporting field tests and other team tasks