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.
Skills Required
- 3+ years building and maintaining complex testbenches using UVM/SystemVerilog
- Proven experience with constrained-random generation, functional coverage, and SVA
- Deep understanding of complex digital logic and debugging hardware/software interactions
- Proficiency in Python for automation frameworks, data analysis, and regression management
- Excellent verbal and written communication skills and cross-functional collaboration
- 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 (HBM)
- Experience with C/C++ for reference model development
- Hands-on experience with industry-standard interfaces such as PCIe Gen5/6, DDR5, or Ethernet
- Interest or experience leveraging Generative AI and LLMs to accelerate verification workflows
Waymo Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Waymo and has not been reviewed or approved by Waymo.
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Fair & Transparent Compensation — Pay is considered strong for full‑time technical roles, aligning with top‑tier AV/Big Tech benchmarks. Employer materials also emphasize competitive pay with eligibility for bonuses and equity as part of total rewards.
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Healthcare Strength — Coverage spans medical, dental, vision, mental‑health resources, onsite wellness centers, and counseling, with specialized programs such as menopause and transgender medical advocacy. Dependents are included, indicating depth across core health needs.
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Parental & Family Support — Offerings include fertility and family‑forming assistance, parental and baby‑bonding leave, caregiver and elder‑care support, and backup childcare. These programs are positioned to support families through multiple life stages.
Waymo Insights
What We Do
Waymo is an autonomous driving technology company with a mission to make it safe and easy for people and things to move around. With the Waymo Driver, we can improve the world’s mobility while saving thousands of lives. Waymo reaches out to candidates from official channels only (e.g. directly from @waymo.com email addresses, or through our recruiters or sourcers who are noted as such on LinkedIn). We do not contact candidates about career opportunities through instant messaging apps like Telegram, email addresses from domains other than waymo.com (such as Gmail addresses), direct messages on Twitter, Facebook, and Instagram, or text messages. Visit waymo.com to check out our official job listings.
