Job Description
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 focus on developing large-scale and efficient inference solutions for Waymo. This is crucial to the development of Waymo Foundation Models for driving including evaluation, auto-labeling and distillation.
We are looking for an individual contributor (IC) who enjoys the following responsibilities, and has the required qualifications listed below:
At a Minimum, We’d Like You To 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.
It’s Preferred That You Also Have - 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.
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
Job Tags
Full time, Remote job,