Software Engineer, GPU

<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>In this hybrid role, you will report to an Engineering Manager.</p> <p><strong>You will:</strong></p> <ul> <li>Develop high-performance GPU primitives and abstractions to enable Waymo to scale its accelerator codebase across diverse GPU backends</li> <li>Collaborate with Waymo's internal hardware team and external partners on SoC projects with a focus on the GPU portion</li> <li>Manage the bring-up, correctness, and performance of the Waymo onboard stack on new GPU platforms</li> <li>Contribute to testing infrastructure that enhances the CI/CD flow for GPUs, detects bugs early, and generates automated alerts to maintain the GPU stack's functionality and performance</li> <li>Create profiler and debugger tools for new GPU platforms</li> </ul> <p><strong>You have:</strong></p> <ul> <li>Proven expertise in C++ programming</li> <li>Bachelor degrees in EECS, coupled with a minimum of three years of industry experience</li> <li>Experience with full-system simulation frameworks (SystemC, Gem5 or similar)</li> <li>Solid understanding of GPU hardware architecture</li> <li>Proficiency in utilizing performance analysis tools and debuggers</li> <li>Enthusiasm for developing the complete GPU software stack, from the hardware level to real-world applications</li> </ul> <p><str