The position
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.
Join the staff of EyeC Lidar Sensing group, in charge, among others, of end to end FMCW LiDAR algorithm activities.
What will your job look like?
Be a part of the mentoring 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
Conduct research activities in the domain of FMCW lidar signal processing
Monitor algorithmic aspects of 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
Monitor comprehensive E2E simulation infrastructure for modeling and verification of algorithm pipes at system-level, and release algorithms
Perform sophisticated system optimization of the sensing KPI performance of the algorithmic chain under various tradeoffs, and sign of the algo-pipe performance
Analyze and optimize algorithms based on field-recorded data from our LiDAR
All you need is:
MSc. degree in Electrical Engineering or related field.
At least 7 years of experience in the field
Proven experience in algorithms development for ASIC / FPGA teams, ASIC is an advantage
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.
