Teams at Zoox

Develop and maintain test infrastructure for autonomous vehicle manufacturing, including test frameworks, server infrastructure, applications, dashboards, databases, APIs, containerization, CI/CD pipelines, and tester orchestration. The role supports factory testing across manufacturing sites and collaborates with hardware, software, and manufacturing teams. Responsibilities include monitoring infrastructure health, managing cloud and on-premise deployments, and building tools and common libraries for test engineers.

Perform safety analysis and define requirements for autonomous vehicle motion planning and control systems. Build fault-injection simulations, support AI driving safety verification, define vehicle dynamics model requirements, and collaborate with software, hardware, verification, and validation teams on SIL, HIL, and on-vehicle testing. Use AI and LLM tools to automate analysis and improve safety engineering workflows.

Design and optimize real-time C++ software for autonomous vehicle ride states, passenger interactions, vehicle controls, and in-vehicle experiences. Build resilient embedded Linux systems with safety, failsafe, performance, and reliability requirements. Analyze telemetry, integrate vehicle systems, and collaborate with cloud, product, UX, technical program management, and QA teams. Lead engineers in delivering user-focused features across vehicle and cloud platforms.