2019-10-10 Waymo
Software Engineer, Machine Learning Infrastructure
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.

Software Engineering builds the brains of Waymo's fully self-driving vehicles. Our software allows our vehicles to perceive the world around them, make the right decision for every situation, and deliver people safely to their destinations. We think deeply and solve complex technical challenges in areas like robotics, perception, decision-making and deep learning, while collaborating with hardware and systems engineers. If you’re a software engineer or researcher who’s curious and passionate about Level 4 autonomous driving, we'd like to meet you.

The Machine Learning Infrastructure team builds the industrial scale machine learning platform and tools used by our ML practitioners.

We are looking for talented engineers for our Machine Learning Infrastructure/Onboard group. In this group you will work on one of the following:

  • Fast execution of neural nets on specialized hardware used in the car and at scale for simulation in data centers.
  • Training and validation of neural nets for low precision arithmetics inference.*
  • Optimization of everything "around the nets" to speed up onboard systems.

*(We know that few people have expertise on neural net execution or on how to train neural nets for low precision, but our senior engineers will be very happy to share their expertise and grow more junior engineers into full fledged experts.)

We need you to have:

  • A BS or MS in Computer Science, similar technical field of study, or equivalent practical experience.
  • Passion in making things run fast.
  • Experience programming in Python or C++.
  • Elementary Tensorflow knowledge: E.g. what is a TF graph, what is a Convolution.

Bonus qualifications depending on actual role:

  • Previous work on neural net or scientific computation optimization.
  • Graph rewrite algorithms or compiler background.
  • CUDA programming or ASIC (application-specific integrated circuit) programming.
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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