Mobileye's EyeC Lidar 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, signal processing and computer vision Algorithms.

Our computer vision team is responsible for creating state-of-the-art perception algorithms based on our 4D pointcloud. This includes defining the data sets and scenarios for data collection, analyzing the collected data and modeling it, defining the algorithm and implementing it, while giving feedback to the Lidar's development team for constant improvement of the sensor itself.

What will your job look like?

• Develop perception solutions utilizing both classical and deep learning techniques, such as segmentation, motion estimation, ground separation, and hazard detection.
• Serve as the AI point of contact for the team.
• Define data collection scenarios tailored to our specific sensor.
• Analyze labeled datasets.
• Evaluate and optimize the performance, complexity, and runtime of your algorithms.
  
  

All you need is:

• MSc in a relevant field
• Minimum of 3 years of relevant experience, particularly with Python and PyTorch.
• Strong teamwork and mentoring abilities.
• Ability to thrive in a fast-paced environment, supporting field tests and other team activities.
• Proficient software skills.