Design Verification Engineering

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. 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.

This role follows a hybrid work schedule and you will report to a Silicon Engineering Lead

Partner with design and architecture teams to translate hardware specifications into comprehensive, scalable verification plans

Drive the development of testbenches, reference models, and stimulus to validate mission-critical functionality and performance

Define and analyze coverage metrics (functional and code) to ensure design readiness and closure

3+ years of experience building and maintaining complex testbenches using UVM/SystemVerilog

Deep understanding of complex digital logic and the ability to debug intricate hardware/software interactions

Proficiency in Python for developing scalable automation frameworks, data analysis tools, and regression management suites

Familiarity with power-aware verification (UPF), formal verification, or hardware-software co-validation

Domain expertise in ML accelerators, high-speed interconnects (NoCs), or high-bandwidth memory

Experience with C/C++ for reference model development and enhancement

Interest or experience in leveraging Generative AI and LLMs to accelerate verification workflows, such as automated testbench generation, documentation, or failure log analysis

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.