2020-04-03 Waymo
Software Engineer, ML Performance, Compute
Mountain View, California, United States

Waymo is the self-driving technology company with a mission to make it safe and easy for people and things to move around. Building on software and sensor technology developed at Google, Waymo is now launching the world’s first fully self-driving transportation service that will take members of the public from A to B at the touch of a button.

Hardware Engineering is a diverse, innovative, and collaborative group of electrical, mechanical, reliability, software and vehicle engineers. We design, build, and perfect the products which are the eyes and ears of Waymo's self-driving systems, and integrate those products into vehicle platforms. We're seeking curious and talented teammates to keep us moving in the right direction.

In this role, you'll:

  • Work with software teams on improving the latency and throughput of machine learning and deep-net workloads on onboard hardware
  • Model, benchmark, and optimize neural network performance on specialized inference hardware. Overcome hardware utilization bottlenecks through software/hardware codesign
  • Guide the development of future hardware solutions tailored to meet the needs of Waymo’s unique machine learning requirements

At a minimum we’d like you to have:

  • BS degree in Computer Science/Electrical Engineering or equivalent practical experience
  • 3+ years of industry experience optimizing neural network performance on specialized hardware
  • Knowledge of computer architecture, compilers, and neural network performance characteristics
  • Experience optimizing and analyzing linear algebra routines used in deep learning or otherwise
At Waymo, we don’t just accept difference - we celebrate it, we support it, and we thrive on it for the benefit of our employees, our products and our community. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know.
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