As a Software QA Engineer on our Product Software Quality Assurance team, you will be at the forefront of driving quality standards for mission-critical vehicle-to-cloud communication systems. In this role, you will work closely with cross-functional teams to design and implement comprehensive testing frameworks, define key quality metrics, and uphold the stringent standards required for safety-critical systems.

As a Software Development Engineer in Test on the Product Software Quality Assurance team, your role will focus on building scalable integration automation frameworks and enhancing existing frameworks for automated testing of mobile applications.

Develop 3D visualizations to fuse complex, dynamic data streams into accessible representations to a wide array of users. Maintain and extend multiple performant backend data pipelines and microservices.

Develop and execute a strategic vision for the ML Performance Optimization team to unlock ML innovation in autonomous driving and rider experience. Lead the design, implementation, and operation of cutting-edge ML Training and inference performance optimization techniques.

Evaluate new distributed system paradigms and technologies to meet Zoox’s ever-growing computational and storage needs. Strike a balance between incremental improvements to Zoox’s existing in-house HPC infrastructure and greenfield services and abstractions.