Senior Software Engineer, Infrastructure

3 weeks ago


Mountain View, Arkansas, United States Waymo Full time

Waymo is a leader in autonomous driving technology, with a mission to be the most trusted driver. Our team has been working on building the Waymo Driver, the world's most experienced driver, to improve access to mobility and save thousands of lives lost to traffic crashes. The Waymo Driver powers Waymo One, a fully autonomous ride-hailing service, and can be applied to various vehicle platforms and product use cases. With over one million rider-only trips provided, the Waymo Driver has autonomously driven tens of millions of miles on public roads and tens of billions of miles in simulation across 13+ U.S. states.

The Planner Infrastructure team at Waymo builds software that runs on the self-driving car, as well as tools and benchmarking for ensuring our system's reliability. We are looking for infrastructure engineers to lead and help us take our system to the next level, ensuring 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.

Key Responsibilities:

  • Ensure 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 there are no reliability problems in our software that runs on the road.
  • Ensure 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.

Requirements:

  • 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.

Preferred Qualifications:

  • 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.


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