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>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.</p> <p><em>This role follows a hybrid work schedule</em><em> and you will report to a Software Engineering Manager.</em></p> <p><em>This position will require the ability to work some hours that align with the team in the Pacific Time zone on an as needed basis.</em></p> <p><strong>You will:</strong></p> <ul> <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 with ML inference or linear algebra computation</li> <li>C++ programming skills</li> </ul> <p><strong>We prefer:</strong></p> <ul> <li>Python programming experience</li> <li>Experience with compilers for neural networks</li> <li>Knowledge of computer architectures used for neural network inference, and neural network performance characteristics</li> <li>Knowledge of the principles behind popular machine learning and neural network algorithms and applications</li> </ul> <p>&nbsp;</p><div class="content-pay-transparency"><div class="pay-input"><div class="description"><p><span style="font-weight: 400;">The expected base salary range for this full-time position 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.&nbsp; 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. </span></p></div><div class="title">Salary Range</div><div class="pay-range"><span>₹6,100,000</span><span class="divider">&mdash;</span><span>₹7,250,000 INR</span></div></div></div>