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Software Engineer, Planner Infrastructure id-9835

Waymo is an autonomous driving technology company with the mission to be the most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver-The World's Most Experienced Driver™-to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo One, a fully autonomous ride-hailing service, and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over one million rider-only trips, enabled by its experience autonomously driving tens of millions of miles on public roads and tens of billions in simulation across 13+ U.S. states.

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. You will 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:

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  • Ensure that our software is designed for performance and reliability using principled APIs/frameworks and implemented using advanced technologies and engineering best practices.
  • 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.
  • 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 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)
  • 3+ years of experience writing efficient, high-performance C++ code
  • 3 years of industry experience designing and writing production code
  • 3+ years of experience leading technical contributions and excellent engineering execution.


We prefer:

  • 3+ years of experience designing, building, or maintaining FAANG-scale infra platforms.
  • 3+ years of experience building performant and easy to use scalable systems and tools.
  • 3+ years of experience in C++ and C++ specific low-level code optimizations
  • 3+ years of experience in robotics or self-driving cars.
  • 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

The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process.

Waymo employees are also eligible to participate in Waymo's discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements.

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