The Planner Infrastructure team at Waymo builds software that runs on the self-driving car, in addition to tools and benchmarking for ensuring that our system is reliable. We are looking for infrastructure engineers to lead and help us take our system to the next level. This will ensure the self-driving car can operate in environments like freeways and crowded city streets.

In this hybrid role, you will report to a Technical Lead Manager on our Planner Infrastructure team.

You will:

• Ensure that our software is architected for reliability and implemented using advanced technologies and engineering best practices.
• Conduct software testing and validation, including the use of simulation and static analyzers to ensure that there are no reliability problems in our software that runs on the road.
• Ensure that our system can produce safe driving plans in an allotted timing and compute budget (potentially for hundreds of people and cars around the self-driving car).
• Be able to react and change direction at super-human latencies when there are new hazards detected by our perception system.
• Ensure our machine learning models are performing well on GPU/TPU and other hardware accelerators.

You have:

• BS in Computer Science, Electrical Engineering, Robotics, Physics, Math, or related field (or equivalent experience)
• 5+ years of industry experience designing and writing production code
• 5+ years of experience in C++, Java, Rust, or other modern languages.
• 5+ years of experience leading technical contributions and excellent engineering execution.

We prefer:

• Experience designing, building, or maintaining FAANG-scale infra platforms.
• Experience building performant and easy to use scalable systems and tools.
• Experience with ML model inference performance and frameworks like CUDA and JAX.
• Experience designing or writing software for high-reliability systems, performance optimization, or productionizing deep learning models on GPU for low inference latency.

#LI-Hybrid