Software Engineer, Simulation

Team: Simulation

Location: Santa Clara, CA

Commitment: Full-time

Workplace Type: hybrid

Responsibilities:

• 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.

Required Qualifications:

• 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

Desirable Qualifications:

2+ years of Industry experience in ML and C++ software

Familiarity with AV simulation environments and driving datasets