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 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
Strong English communication skills (written and verbal)

#LI-Hybrid

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 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.

Salary Range

$2,600,000—$3,150,000 TWD

ML Accelerator Modeling Engineer (TW)

About this role

Benefits

About Waymo