Quality Assurance Engineer Jobs at Google with Visa Sponsorship
Google hires Quality Assurance Engineers to own testing infrastructure, reliability, and release standards across products used by billions of people. The company has a well-established sponsorship process for this function, supporting candidates across multiple visa categories through its in-house immigration team.
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In this role, you’ll work to shape the future of AI/ML hardware acceleration. You will have an opportunity to drive cutting-edge TPU (Tensor Processing Unit) technology that powers Google's most demanding AI/ML applications. You’ll be part of a team that pushes boundaries, developing custom silicon solutions that power the future of Google's TPU. You'll contribute to the innovation behind products loved by millions worldwide, and leverage your design and verification expertise to verify complex digital designs, with a specific focus on TPU architecture and its integration within AI/ML-driven systems.
As an ASIC Formal Verification Engineer, you will contribute formal verification expertise to verify the digital designs, with a specific focus on TPU architecture and its integration within AI/ML-driven systems. You will be part of a team developing ASICs used to accelerate computation in data centers. You will have responsibilities in areas such as project definition, formal verification, and silicon bringup. You will participate in the architecture, documentation, and verification of the next generation of data center accelerators.
The AI and Infrastructure team is redefining what’s possible. We empower Google customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our customers include Googlers, Google Cloud customers, and billions of Google users worldwide.
We're the driving force behind Google's groundbreaking innovations, empowering the development of our cutting-edge AI models, delivering unparalleled computing power to global services, and providing the essential platforms that enable developers to build the future. From software to hardware our teams are shaping the future of world-leading hyperscale computing, with key teams working on the development of our TPUs, Vertex AI for Google Cloud, Google Global Networking, Data Center operations, systems research, and much more.
BASIC QUALIFICATIONS
- Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, or a related field, or equivalent practical experience.
- 4 years of experience with formal and design verification.
- Experience with SystemVerilog or Verilog.
- Experience working with one or more formal verification tools (e.g., Jasper, VC Formal, Questa Formal, 360-DV).
PREFERRED QUALIFICATIONS
- Master's degree or PhD in Electrical Engineering, Computer Engineering or Computer Science.
- 6 years of experience with industry standard tools, languages and methodologies relevant to the development of silicon-based Integrated Circuits (ICs) and chips.
- Experience with scripting languages.
- Excellent communication and collaboration skills.
COMPENSATION
The US base salary range for this full-time position is $138,000-$198,000 + 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.
Responsibilities
- Plan the formal verification strategy, create the properties and constraints for the digital design blocks.
- Utilize formal property verification tools combined with formal verification closure techniques to verify properties.
- Resolve difficult to verify properties.
- Contribute improvements to methodologies to enhance formal verification results.
- Architect and implement reusable formal verification components.
Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.
INTRODUCTION
In this role, you’ll work to shape the future of AI/ML hardware acceleration. You will have an opportunity to drive cutting-edge TPU (Tensor Processing Unit) technology that powers Google's most demanding AI/ML applications. You’ll be part of a team that pushes boundaries, developing custom silicon solutions that power the future of Google's TPU. You'll contribute to the innovation behind products loved by millions worldwide, and leverage your design and verification expertise to verify complex digital designs, with a specific focus on TPU architecture and its integration within AI/ML-driven systems.
As an ASIC Formal Verification Engineer, you will contribute formal verification expertise to verify the digital designs, with a specific focus on TPU architecture and its integration within AI/ML-driven systems. You will be part of a team developing ASICs used to accelerate computation in data centers. You will have responsibilities in areas such as project definition, formal verification, and silicon bringup. You will participate in the architecture, documentation, and verification of the next generation of data center accelerators.
The AI and Infrastructure team is redefining what’s possible. We empower Google customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our customers include Googlers, Google Cloud customers, and billions of Google users worldwide.
We're the driving force behind Google's groundbreaking innovations, empowering the development of our cutting-edge AI models, delivering unparalleled computing power to global services, and providing the essential platforms that enable developers to build the future. From software to hardware our teams are shaping the future of world-leading hyperscale computing, with key teams working on the development of our TPUs, Vertex AI for Google Cloud, Google Global Networking, Data Center operations, systems research, and much more.
BASIC QUALIFICATIONS
- Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, or a related field, or equivalent practical experience.
- 4 years of experience with formal and design verification.
- Experience with SystemVerilog or Verilog.
- Experience working with one or more formal verification tools (e.g., Jasper, VC Formal, Questa Formal, 360-DV).
PREFERRED QUALIFICATIONS
- Master's degree or PhD in Electrical Engineering, Computer Engineering or Computer Science.
- 6 years of experience with industry standard tools, languages and methodologies relevant to the development of silicon-based Integrated Circuits (ICs) and chips.
- Experience with scripting languages.
- Excellent communication and collaboration skills.
COMPENSATION
The US base salary range for this full-time position is $138,000-$198,000 + 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.
Responsibilities
- Plan the formal verification strategy, create the properties and constraints for the digital design blocks.
- Utilize formal property verification tools combined with formal verification closure techniques to verify properties.
- Resolve difficult to verify properties.
- Contribute improvements to methodologies to enhance formal verification results.
- Architect and implement reusable formal verification components.
Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.
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Get Access To All JobsTips for Finding Quality Assurance Engineer Jobs at Google Jobs
Tailor your resume to Google's QA signals
Google's QA roles emphasize automation over manual testing. Frame your experience around tools like Selenium, pytest, or custom test frameworks, and quantify defect reduction or coverage improvements. Generic QA resumes get filtered before they reach a hiring manager.
Target roles explicitly listing visa sponsorship
Not every open QA requisition at Google is cleared for sponsorship at the time of posting. Filter job listings by sponsorship eligibility before applying, so you're not deep into a loop only to find the role can't support your visa situation.
Prepare your degree equivalency documentation early
Google's immigration team uses the three-to-one rule for H-1B specialty occupation filings: three years of relevant experience substitutes for one year of formal education. If your degree is from outside the U.S., have a credential evaluation from a NACES-recognized agency ready before an offer is extended.
Understand how Google handles E-3 filings
Google sponsors the E-3 for Australian citizens in QA roles, and unlike H-1B, there's no lottery. If you're Australian and already stateside on another visa, ask your recruiter whether a change of status is feasible or whether consular processing is the faster path.
Use Migrate Mate to find Google QA roles open to sponsorship
Sorting through Google's careers page doesn't surface sponsorship status. Use Migrate Mate to filter Quality Assurance Engineer openings at Google by the visa type you need, so every application you submit is already confirmed sponsorship-eligible.
Confirm LCA timing before accepting a verbal offer
Your employer must file a certified Labor Condition Application with the DOL before USCIS can process your H-1B petition. Ask Google's immigration team for the expected LCA certification timeline so you can accurately plan your start date and avoid a gap in work authorization.
Quality Assurance Engineer at Google jobs are hiring across the US. Find yours.
Find Quality Assurance Engineer at Google JobsFrequently Asked Questions
Does Google sponsor H-1B visas for Quality Assurance Engineers?
Yes, Google sponsors H-1B visas for Quality Assurance Engineers. QA roles typically qualify as specialty occupations under USCIS criteria because they require at least a bachelor's degree in computer science, engineering, or a related field. Google has an established in-house immigration team that manages the H-1B petition process, including the Labor Condition Application filing with the DOL.
Which visa types does Google commonly sponsor for Quality Assurance Engineers?
Google sponsors the H-1B for most international QA candidates, the H-1B1 for Chilean and Singaporean nationals, and the E-3 exclusively for Australian citizens. Each has different filing processes and timelines. The H-1B is subject to an annual cap and lottery, while the H-1B1 and E-3 are cap-exempt and can be filed year-round at a U.S. consulate or through a change of status.
How do I apply for Quality Assurance Engineer jobs at Google?
You can apply through Google's careers portal at careers.google.com, or use Migrate Mate to filter specifically for Quality Assurance Engineer roles at Google that are open to visa sponsorship. Google's QA interview process typically includes a recruiter screen, a technical phone interview covering test design and automation, and several rounds focused on coding, system design for testability, and behavioral competencies.
What qualifications does Google expect for Quality Assurance Engineers who need visa sponsorship?
Google's QA Engineer roles generally require a bachelor's degree in computer science, software engineering, or a closely related field, which also satisfies the specialty occupation requirement for H-1B sponsorship. Practically, Google prioritizes hands-on experience with test automation frameworks, CI/CD pipelines, and large-scale distributed systems. Candidates with experience in test infrastructure or reliability engineering are particularly competitive for mid-to-senior level positions.
How do I plan my timeline if Google extends a QA offer requiring H-1B sponsorship?
If you're starting the H-1B process from scratch, the regular cap filing window opens in April for an October 1 start date. If you're already on H-1B with another employer, Google can file an H-1B transfer and you can begin work as soon as USCIS receives the petition. For the E-3 or H-1B1, consular processing typically takes two to eight weeks depending on appointment availability at your nearest U.S. embassy or consulate.
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