Senior Software Engineer, Infrastructure

Posted:
7/1/2024, 12:34:38 PM

Location(s):
Mountain View, California, United States ⋅ California, United States

Experience Level(s):
Senior

Field(s):
DevOps & Infrastructure ⋅ Software Engineering

Workplace Type:
Remote

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 & benchmarking for ensuring that our system is performant and 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 role you'll:

  • Report into our Planner Infrastructure TLM
  • 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.

At a minimum we'd like you to have:

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

It's preferred if you have:

  • Experience designing, building, or maintaining FAANG-scale infra platforms.
  • Experience building performant and easy to use scalable systems and tools.
  • Expertise in C++ and C++ specific low-level code optimizations
  • 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. 

Salary Range
$192,000$243,000 USD

Waymo

Website: http://www.waymo.com/

Headquarter Location: Mountain View, California, United States

Employee Count: 1001-5000

Year Founded: 2009

IPO Status: Private

Last Funding Type: Private Equity

Industries: Automotive ⋅ Sensor ⋅ Software ⋅ Transportation