Tech Stack

Description

You will develop onboard algorithms to update map content in response to changing scenes like construction zones, implement real-time compute solutions from sensor data, and collaborate with cross-functional teams to ensure seamless map integration. This role is critical for enabling self-driving vehicles to safely detect and respond to dynamic environmental changes.

Requirements

• Proficiency in C++ with focus on production software
• Proficiency in Python for algorithm development
• Strong 3D geometric reasoning skills
• Solid understanding of graph theory with practical algorithm applications
• Experience with Deep Learning and Bayesian Inference preferred

Responsibilities

• Develop onboard algorithms for updating map content in response to changing scenes
• Implement real-time compute solutions to update maps from sensor data
• Collaborate cross-functionally with Motion Planning, Localization, and Fleet Intelligence teams
• Contribute to safety cases around modern machine learning methods
• Utilize graph-centric and geometric algorithms for lane lines and drivable surfaces