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 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.
This role follows a hybrid work schedule and you will report to a Software Engineering Manager.
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.
You will:
- Design and develop scalable software frameworks for automated post-silicon testing of custom system-on-chips (SoC) and ML/AI accelerators
- Translate hardware databook instructions (register maps, timing diagrams) into robust C++ code for hardware/software interaction
- Build and maintain sophisticated automation scripts using Python and Bash to manage complex test sequences
- Debug software-to-hardware communication issues, work