Waymo is an autonomous driving technology company with the mission to be the 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 One, a fully autonomous ride-hailing service, and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over one million rider-only trips, enabled by its experience autonomously driving tens of millions of miles on public roads and tens of billions in simulation across 13+ 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 hybrid role, you will report to a Hardware Engineering Manager
You will:
- Create architectural models for exploration, development and verification of machine learning accelerators
- Analyze workloads, define and derive representative microbenchmarks for functional & performance goals
- Drive equivalence between actual hardware and simulator implementations, both for correctness and performance correlation
- Build scalable tools for modeling, performance analysis and optimization
- Interact with cross-functional engineering teams to identify opportunities and requirements
You have:
- BS degree in Computer Science or Computer Engineering or equivalent, or equivalent practical experience
- 3+ years on modeling complex, high performance architectures in the industry for functionality and/or performance
- Experience with cycle-level simulation frameworks (SystemC, Gem5 or similar)
- Strong C++ programming skills and familiarity with software development methodologies
- Solid foundation in computer architecture and principles of digital logic design
We prefer:
- 1+ years experience modeling machine learning architectures in C++ simulators
- Track record of building tools used by software and hardware teams for performance understanding and/or debug
- Experience writing and debugging microbenchmarks for performance correlation and correctness
- Excellent communication and problem solving skills
#LI-Hybrid
The expected base salary range for this full-time position across US locations 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. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process.
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.