Signal Processing Algorithms Team Leader

Mobileye develops next-generation high-performance long-range LiDAR systems for autonomously driving vehicles. The project involves cutting-edge electro-optic modules for FMCW LIDAR, HW, VLSI, mechanics, SW, FW, and Signal Processing and Vision Algorithms.

We are looking for a Signal Processing Algorithms Team Leader. As a part of your work, you will lead the team of experienced algorithms engineers and researchers.

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
• 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
  
  

• 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