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.

Waymo's Compute Team is tasked with a critical and exciting mission: We deliver the compute platform responsible for running the fully autonomous vehicle's software stack. To achieve our mission, we architect and create high-performance custom silicon; we develop system-level compute architectures that push the boundaries of performance, power, and latency; and we collaborate closely with many other teammates to ensure we design and optimize hardware and software for maximum performance. We are a multidisciplinary team seeking curious and talented teammates to work on one of the world's highest performance automotive compute platforms.

In this role you'll:

• Build infrastructure and tooling to monitor and diagnose ML model compatibility and performance issues during other ML software development
• Partner and empower ML engineers  to optimize the performance of their model on through set of tooling and capabilities needed for rapid iteration 
• Build and sustain a database of ML model performance and other metrics. Ensure a user experience for internal customers, helping them easily query data, debug, bisect, and track releases.

At a minimum, we'd like you to have:

• Bachelors in Computer Science or Electrical Engineering or equivalent work experience
• 3+ years of experience in software development and with data structures/algorithms
• 1+ year of experience in data visualization tools

It's preferred if you have:

• Experience in relational and non-relational databases, normalization, data governance, data quality
• Experience developing accessible technologies.
• Experience building infrastructure for models, diagnosis failures and tooling