Lead and manage a team of engineers to develop and validate realistic vehicle and pedestrian traffic simulations for autonomous driving software.

The role involves developing advanced 3D graphics algorithms for sensor simulation, enhancing realism through GenAI/ML techniques while collaborating with various teams for improved data fidelity.

As a Motion Planning Engineer, you will integrate human guidance into autonomous vehicle systems, develop motion planning algorithms, and optimize performance-critical code in C++ while collaborating across teams.

Lead the ML Performance Optimization initiatives, designing and implementing ML training frameworks while mentoring engineers and collaborating across teams.

As a Senior Firmware Engineer, you will develop embedded software, including drivers and middleware, troubleshoot hardware issues, and work closely with cross-discipline teams to ensure high safety standards for autonomous vehicles.

You will enhance Zoox's HPC infrastructure, optimize storage technologies, explore distributed systems, and create APIs and tools for developers.

Lead the development of simulation frameworks and tools for autonomous driving, ensuring safety and performance through robust architecture and realistic traffic modeling.

The Technical Sourcer will build and manage a talent pipeline for engineering roles, evaluate candidates, and develop sourcing strategies.

The Motion Planning Engineer will develop C++ code for autonomous vehicles, integrate remote human guidance, and design new tools for urban navigation.