Senior ML Compiler Engineer, Compute

<div class="content-intro"><p>Waymo is an autonomous driving technology company with the mission to be the world's 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’s fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states.</p></div><p data-pm-slice="1 1 []">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.</p> <p><em>This role follows a hybrid work schedule</em><em> and you will report to a Software Engineering Manager.</em></p> <p><strong>You will:</strong></p> <ul> <li>Leverage agentic AI to accelerate analysis, planning and implementation of production software improvements</li> <li>Analyze the performance characteristics of code generated by our production grade compiler, and design and implement optimizations to improve that performance</li> <li>Design and implement compiler support for novel features of our high-performance architecture</li> <li>Work with hardware architects to understand and influence the development of our unique neural network inference platform through hardware/software codesign</li> <li>Work with model developers to tune their neural networks for better inference efficiency and accuracy</li> </ul> <p><strong>You have:</strong></p> <ul> <li>BS degree in Computer Science/Electrical Engineering or equivalent experience and 5+ years of industry experience OR</li> <li>MS degree in Computer Science/Electrical Engineering and 3+ years of industry experience</li> <li>PhD degree in Computer Science/Electrical Engineering and 1+ years of industry experience</li> <li>3+ years experience working on compilers for parallel architectures</li> <li>1+ years experience working