Software Engineer, ML Accelerator Modeling (TW)

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. 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. 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 onsite role, you will report to a Hardware Engineering Manager You will: Prototype the hardware: Design and implement high-performance, high-fidelity C++ software models that serve as the blueprint for next-generation machine learning accelerators. Empower engineering velocity: Develop scalable software infrastructure and tools that enable the entire team to analyze performance data and rapidly optimize future hardware designs. Push the limits of silicon: Define and write rigorous software benchmarks to expose architectural bottlenecks, ensuring our hardware meets aggressive functional and performance goals. Verify correctness: Write critical validation code to guarantee that our software simulators serve as a "source of truth," accurately reflecting the behavior of complex hardware. Bridge the Hardware/Software gap: Collaborate closely with cross-functional engineering teams to drive requirements and gain deep expertise in the intricacies of ML accelerator architecture. You have: BS degree in Computer Science or Computer Engineering or equivalent, or equivalent practical experience 2+ years of industry experience building performance-critical applications in C++ Strong programming fundamentals - data structures, algorithms and problem solving ability Basic understanding of how programs execute on hardware and how to optimize performance We prefer: Demonstrated ability to dive into new problem domains and apply your programming skills to solve them. Familiarity with fundamentals of computer architecture Experience with low-level systems programming, embedded systems, or performance optimization Prior experience in hardware or ML is a plus, but not required 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. Waymo employee ... (truncated, view full listing at source)