Job description

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. This role follows a hybrid work schedule and you will report to a Silicon Engineering Lead You will: 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 Architect and enhance verification environments, contributing to shared tools and reusable methodologies across the organization Evaluate, integrate, and verify third-party Verification IP (VIP) to accelerate the development cycle Define and analyze coverage metrics (functional and code) to ensure design readiness and closure Advocate and establish verification best-practices You have: 3+ years of experience building and maintaining complex testbenches using UVM/SystemVerilog Proven track record with constrained-random generation, functional coverage, and SVA (SystemVerilog Assertions) 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 Excellent verbal and written communication skills, ability to collaborate with cross-functional teams Strong analytical skills in root-causing failures across RTL, testbench, and environment layers We prefer: Experience spanning initial specification through post-silicon bring-up and validation 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 Hands-on experience with industry-standard interfaces such as PCIe Gen 5/6, DDR5, or Ethernet 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. Salary Range $175,000 — $215,000 USD

Requirements

Must-haves

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
Architect and enhance verification environments, contributing to shared tools and reusable methodologies across the organization
Evaluate, integrate, and verify third-party Verification IP (VIP) to accelerate the development cycle
Define and analyze coverage metrics (functional and code) to ensure design readiness and closure
Advocate and establish verification best-practices
3+ years of experience building and maintaining complex testbenches using UVM/SystemVerilog
Proven track record with constrained-random generation, functional coverage, and SVA (SystemVerilog Assertions)
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
Excellent verbal and written communication skills, ability to collaborate with cross-functional teams
Strong analytical skills in root-causing failures across RTL, testbench, and environment layers
Experience spanning initial specification through post-silicon bring-up and validation
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
Hands-on experience with industry-standard interfaces such as PCIe Gen 5/6, DDR5, or Ethernet
Interest or experience in leveraging Generative AI and LLMs to accelerate verification workflows, such as automated testbench generation, documentation, or failure log analysis

Nice-to-haves

None flagged.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

pythonmlai

Platform: greenhouse
Effort: quick