Waymo Logo

Waymo

Senior Formal Verification Engineer

Reposted 15 Days Ago
Be an Early Applicant
In-Office
Mountain View, CA, USA
204K-259K Annually
Senior level
In-Office
Mountain View, CA, USA
204K-259K Annually
Senior level
Define and drive formal verification strategies, architect FV environments, provide technical leadership, and enhance reporting for complex silicon designs.
The summary above was generated by AI

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:

  • Define and drive formal strategy for first-pass silicon success. Own the formal verification sign-off approach across complex IP and SoC designs, utilizing advanced formal techniques (e.g., Bounded Model Checking, Datapath Validation, Connectivity, Sequential LEC, etc.)
  • Architect robust and scalable FV environments. Develop and deploy reusable formal testbenches, methodology flows, and high-coverage SVA assertion suites for systemic deployment across multiple design blocks and projects
  • Technical leadership & mentorship. Serve as the team's formal Subject Matter Expert, training and guiding logic designers and verification engineers to effectively incorporate formal methods into their workflows
  • Strategic planning and test plan execution. Collaborate with Architecture and Design teams to translate complex system and IP specifications into comprehensive formal verification test plans
  • Drive FV Infrastructure & Reporting. Maintain and enhance continuous integration, regression flows, and dashboarding to provide clear, actionable formal verification status and sign-off metrics to leadership
  • Advanced bug-hunting and debugging. Apply state-of-the-art formal techniques (e.g., assume-guarantee, abstractions, reductions) to tackle and efficiently decompose the most challenging, intractable verification problems

You have:

  • BS/MS/PhD in CS/EE or related field, combined with 5+ years of hands-on formal verification experience on shipping silicon products
  • Deep, expert-level proficiency with at least one major commercial formal verification platform (e.g., Cadence JasperGold, Synopsys VC Formal, Mentor Questa Formal)
  • High level language proficiency in C++ and/or Python
  • Ability to model complex designs in SystemVerilog and advanced SystemVerilog Assertions, including writing complex cut-points and environment models for effective formal proof convergence
  • Proven track record in applying advanced formal debug techniques for problem decomposition (e.g., clock domain crossings, abstractions, assume-guarantee reasoning)
  • Excellent verbal and written communication skills with the ability to influence cross-functional teams (Design, Architecture, Software) and drive technical alignment

We prefer:

  • Informed of latest developments in formal verification research and industry practice, identify opportunities for Waymo's silicon development process
  • Experience in formally proving correctness of arithmetic units such as floating point adders and multipliers
  • Knowledge/experience working with NOCs and networking topologies, protocols (Eg. AXI/AMBA)
  • Understand basic principles of cache coherency
  • Experience with high-performance designs

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
$204,000$259,000 USD
HQ

Waymo Mountain View, California, USA Office

1600 Amphitheatre Pkwy, Mountain View, CA, United States, 94043

Waymo San Francisco, California, USA Office

San Francisco, United States

Similar Jobs

10 Days Ago
In-Office
Santa Clara, CA, USA
136K-265K Annually
Senior level
136K-265K Annually
Senior level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
Verify GPU micro-architecture using formal verification tools. Define verification scope, write and implement testplans, create assumptions/assertions/cover properties, develop abstraction models, drive formal tool performance, debug RTL, build flows and scripts, and communicate coverage and results to architects, designers, and verification teams.
Top Skills: Cpu ArchitecturesFormal Verification MethodologiesFormal Verification ToolsGpu ArchitecturesPerlPythonRtlSystemverilogTclVerilog
10 Days Ago
In-Office
Santa Clara, CA, USA
136K-265K Annually
Senior level
136K-265K Annually
Senior level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
Verify GPU micro-architecture using formal verification tools: define scope, write and implement formal testplans (assumptions, assertions, covers), develop abstractions to obtain proofs, drive tool performance, debug RTL, create scripts/flows, and communicate coverage to partners.
Top Skills: Cpu ArchitectureFormal Verification ToolsGpu ArchitecturePerlPythonRtlSystemverilogTclVerilog
18 Days Ago
In-Office
Santa Clara, CA, USA
184K-288K Annually
Senior level
184K-288K Annually
Senior level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
Develop and deliver verification tools for GPU kernels, integrating AI into workflows and participating in architectural discussions.
Top Skills: C/C++CmakeCudaGitMakeOpenclRust

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account