Software QA Engineer Jobs at Google with Visa Sponsorship
Google hires Software QA Engineers across its largest engineering hubs and has a consistent track record of sponsoring work visas for this function. If you're targeting a QA role at Google, the company's immigration infrastructure is well-established and sponsorship is a standard part of the hiring process for qualified candidates.
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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 Software QA Engineer Jobs at Google Jobs
Align your credentials to Google's QA bar
Google's QA Engineering roles expect fluency in test automation frameworks like Selenium or pytest, and strong coding ability in Python or Java. Credential gaps here are a common reason offers stall, so close them before you apply.
Target teams with active LCA filings
Google files Labor Condition Applications with the DOL before sponsoring any H-1B. Searching public OFLC disclosure data for your job title and Google's legal entity names helps you confirm which locations and business units are actively sponsoring this role.
Prepare for Google's technical screen early
Google's QA Engineering interviews include a coding round. Weak algorithmic performance can end your candidacy before visa sponsorship ever comes up, so treat the technical screen as a higher hurdle than the immigration conversation.
Clarify your visa type before the offer stage
Google sponsors H-1B, H-1B1, and E-3 visas for this role. If you're Australian or a Chilean or Singapore national, your visa category affects the filing timeline and whether you need to factor in the H-1B lottery. Raise this with the recruiter before written offer.
Understand H-1B lottery timing for your start date
If you need a cap-subject H-1B, USCIS registration opens in March for an October 1 start. Missing the registration window means waiting a full year, so work backward from your intended start date and confirm Google's internal deadlines with your recruiter.
Use Migrate Mate to find open roles
Identifying which Google QA Engineering openings are actively being filled matters as much as applying broadly. Use Migrate Mate to filter Software QA Engineer jobs at Google that are open to visa sponsorship and match your target location.
Software QA Engineer at Google jobs are hiring across the US. Find yours.
Find Software QA Engineer at Google JobsFrequently Asked Questions
Does Google sponsor H-1B visas for Software QA Engineers?
Yes, Google sponsors H-1B visas for Software QA Engineers as a standard part of its hiring process for international candidates. The company works with immigration counsel to handle the full filing process, including the Labor Condition Application with the DOL. If you're subject to the H-1B cap, your candidacy needs to align with the annual March registration window for an October 1 start date.
Which visa types does Google sponsor for Software QA Engineer roles?
Google sponsors H-1B, H-1B1, and E-3 visas for Software QA Engineer positions. H-1B is the most common path for candidates from countries without a bilateral agreement with the U.S. H-1B1 is available to nationals of Singapore and Chile, and E-3 is available to Australian citizens. Each visa type has different filing timelines and annual caps, so your nationality affects which path applies to you.
What qualifications does Google expect for Software QA Engineer roles?
Google typically expects a bachelor's degree or higher in Computer Science, Software Engineering, or a closely related field. Beyond the degree, practical fluency in test automation frameworks, proficiency in at least one programming language such as Python or Java, and demonstrated experience with large-scale systems are the qualifications that carry the most weight. Google's interview process includes a coding assessment, so strong algorithmic skills are required.
How do I apply for Software QA Engineer jobs at Google?
You can apply directly through Google's careers portal, or browse verified visa-sponsoring Software QA Engineer openings at Google through Migrate Mate. Before applying, confirm the role is based in a location where Google has active sponsorship filings. Tailoring your resume to reflect test automation experience and coding proficiency in Google's preferred languages improves your chances of clearing the initial screen.
How do I plan my timeline when pursuing a Google Software QA Engineer role with visa sponsorship?
The timeline depends on your visa type. E-3 and H-1B1 applicants can often start within weeks of an approved petition, since these are not cap-subject. Cap-subject H-1B candidates face a fixed annual cycle: USCIS registration in March, lottery selection by April, and an October 1 start date at the earliest. Build your job search and interview preparation around these USCIS deadlines to avoid a year-long delay.
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