Map-making process—a key technology in our autonomous driving and advanced driver-assistance systems.

This process involves running advanced algorithmic code in a massively parallel way, and managing a complex system that requires both technical depth and strategic thinking.

Autonomous Vehicles require High-Definition Maps that specify lanes, traffic signs, crosswalks, and much more.

This is what we build in the REM group. We rely on crowd-sourced data, where mini maps are built during drive time and uploaded to our cloud. These mini maps are then merged into comprehensive regional maps. These large-scale maps provide detailed road-related information and insights into common driver behavior, enabling autonomous vehicles to drive more like humans.

More details about our map technology can be found at https://www.mobileye.com/technology/rem.

What will your job look like:

• Our Harvester group leads the first stage of the map creation process – building the mini-maps. The Algo team is responsible for analyzing, modeling, and improving the signals used to create them, and for researching new sources of information.
• The algorithmic development is done in Python, and tasks often require solid foundations in mathematics and geometry.
• We work with image-based data and focus on extracting and representing spatial information accurately and efficiently.
• We put the data on map based on GPS and mitigate many inaccuracies of the signal.
• An understanding of how to visualize and represent 2D and 3D geometric data is essential.
  
  

• B.Sc. in Computer Science, Mathematics, Engineering, or a related field. M.Sc. is an advantage.
• 4+ years of experience in algorithm development.
• Hands-on experience with Python or another mainstream language.
• Strong background in linear algebra, coordinate systems, and 2D/3D geometry.
• Familiarity with data visualization.
• Background in computer vision – an advantage.