ML Compiler Engineer, Compute

Waymo • Mountain View, CA

146d • $170,000 - $216,000 • Hybrid

About The Position

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 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 with many other teammates to ensure we design and improve hardware and software for maximum performance. We are a diverse team looking for curious and talented teammates to work on one of the world's highest performance automotive compute platforms.

Requirements

• BS degree in Computer Science/Electrical Engineering or equivalent practical experience and 3+ years of industry experience OR
• MS degree in Computer Science/Electrical Engineering and 1+ years of industry experience OR
• PhD Degree in Computer Science/Electrical Engineering or equivalent years of experience
• 1+ years of industry and/or academic experience with compilers and parallel computing
• 1+ years of industry and/or academic experience working with ML inference or linear algebra computations
• C++ programming skills

Nice To Haves

• Python programming experience
• Experience with compilers for neural networks
• Knowledge of computer architectures used for neural network inference, and neural network performance characteristics
• Knowledge of the principles behind popular machine learning and neural network algorithms and applications

Responsibilities

• Maximize performance of our neural networks by enhancing and extending our production grade compiler
• Work with hardware architects and model developers to develop understanding of our unique neural network inference platform and neural networks
• Implement compiler support for novel features of our high-performance architecture

Benefits

• Discretionary annual bonus program
• Equity incentive plan
• Generous Company benefits program

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Industry: Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services
• Education Level: Master's degree
• Number of Employees: 1,001-5,000 employees