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Formal Verification Engineer, Silicon

Google

Company : Google

Location : Mountain View, CA, 94043

Posted Date : 1 November 2025

Job Details

Formal Verification Engineer, Silicon

Be part of a team that pushes boundaries, developing custom silicon solutions that power the future of Google's direct-to-consumer products. You'll contribute to the innovation behind products loved by millions worldwide. Your expertise will shape the next generation of hardware experiences, delivering unparalleled performance, efficiency, and integration.

The Platforms and Devices team encompasses Google's various computing software platforms across environments (desktop, mobile, applications), as well as our first party devices and services that combine the best of Google AI, software, and hardware. Teams across this area research, design, and develop new technologies to make our user's interaction with computing faster and more seamless, building innovative experiences for our users around the world.

The US base salary range for this full-time position is $156,000-$229,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.

Develop formal verification test plans, models, and properties to verify digital hardware designs. Utilize formal model checking tools and advanced techniques to achieve comprehensive proof convergence and sign-off. Architect and implement reusable formal verification components and environments. Collaborate with design and architecture teams to analyze specifications and resolve bugs. Drive improvements to formal verification methodologies and flows to enhance quality and efficiency.

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