Software Engineer, Inference, Machine Learning Infrastructure

Posted 5 Hours Ago
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Mountain View, CA
158K-200K Annually
Mid level
Automotive
The Role
The Software Engineer will develop large-scale and efficient inference solutions for autonomous driving technology, collaborating closely with Research and Production teams. Required qualifications include a strong foundation in machine learning, experience with ML frameworks, cloud platforms, and software development in C++ or Python.
Summary Generated by Built In

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 Waymo ML Infrastructure team works with Research and Production teams to develop ML models in Perception and Planning that are core to our autonomous driving software. We collaborate with our partners by offering the best solutions for the entire model development lifecycle. These solutions are developed in close collaboration with teams at Google. They are geared towards both scaling models and solving problems unique to ML for autonomous driving.

You will:

  • Report into our Head of ML Inference
  • Focus on developing large-scale and efficient inference solutions for Waymo

You have:

  • B.S. in Computer Science, Math, or equivalent real-world experience
  • 3+ years of experience with machine learning fundamentals and experience with popular ML frameworks such as JAX, PyTorch, or TensorFlow.
  • Experienced in software development projects using C++ or Python and deploying on cloud platforms, for example AWS, Azure, or GCP.
  • Experience with distributed systems and multi-threaded and stream-based programming models.

We prefer:

  • MS in Computer Science, Math or related field.
  • Practical familiarity using ML accelerator profiling tools to uncover performance bottlenecks.
  • 3+ years of experience building scalable inference platforms for real-time and batch processing.
  • Familiarity with ML distillation concepts and experience with distillation frameworks.

#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

$158,000$200,000 USD

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The Company
Mountain View, CA
2,359 Employees
On-site Workplace
Year Founded: 2009

What We Do

Waymo is an autonomous driving technology company with a mission to make it safe and easy for people and things to move around. With the Waymo Driver, we can improve the world’s mobility while saving thousands of lives.
Waymo reaches out to candidates from official channels only (e.g. directly from @waymo.com email addresses, or through our recruiters or sourcers who are noted as such on LinkedIn). We do not contact candidates about career opportunities through instant messaging apps like Telegram, email addresses from domains other than waymo.com (such as Gmail addresses), direct messages on Twitter, Facebook, and Instagram, or text messages. Visit waymo.com to check out our official job listings.

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