Design scalable ML workflows for generating AV scenarios - ranging from traffic simulations to synthetic scenario creation from a natural language specification.

Contribute to tooling for migrating scenario creation using the traditional approach to AI-based scenario understanding and validation

Own the development and upkeep of the simulation framework, driving its reliability and performance to unblock all technical stakeholders.

Collaborate directly with internal customers and partner teams to provide solutions for their test creation workflows.

Have an opportunity to tackle simulation and autonomy evaluation challenges across various areas of the autonomy system, including motion planning, mapping, Controls.

Create and extend software for behavior, pathfinding, road networks, spatial queries, collision detection, vehicle control, vehicle dynamics, etc.

MS or higher degree in Computer Science, Machine Learning, or related field

Good development skills in modern C++ and Python

Proficiency in ML libraries and experience in transformer and diffusion architectures

Basic understanding of generative models