QA Engineer Jobs at Google with Visa Sponsorship
QA Engineer roles at Google span test automation, reliability engineering, and large-scale infrastructure validation across products used by billions. Google has a strong track record of sponsoring work visas for engineering functions, and QA Engineers are well within the scope of roles the company regularly supports through the sponsorship process.
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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 QA Engineer Jobs at Google Jobs
Align your credentials to Google's QA expectations
Google's QA interviews test coding ability alongside testing methodology. Strengthen your portfolio with automation work in Python or Java, and document projects where you improved test coverage or caught regressions at scale before applying.
Target teams where QA hiring concentrates
Google hires QA Engineers most consistently for Search, Android, Cloud, and Ads infrastructure. Filtering your search by these product areas, rather than applying broadly, puts you in front of teams with active headcount and established sponsorship workflows.
Browse Google QA openings through Migrate Mate
Migrate Mate filters job listings specifically by visa sponsorship type, so you can find Google QA Engineer roles that are open to H-1B, H-1B1, or E-3 candidates without manually screening each posting.
Understand where the H-1B lottery affects your timeline
If you need an H-1B and are not already in status, USCIS runs the lottery in March for an October 1 start. Build this window into your job search timeline so an offer doesn't stall waiting for the next registration period.
Prepare for the LCA step before your start date
Before USCIS can adjudicate your H-1B petition, Google's legal team must file a Labor Condition Application with the DOL certifying your offered wage meets prevailing levels. Respond quickly to any documentation requests to avoid delays in that certification.
QA Engineer at Google jobs are hiring across the US. Find yours.
Find QA Engineer at Google JobsFrequently Asked Questions
Does Google sponsor H-1B visas for QA Engineers?
Yes, Google sponsors H-1B visas for QA Engineers. The role qualifies as a specialty occupation requiring a bachelor's degree or higher in computer science, software engineering, or a related technical field. Google's in-house immigration team manages the process, which includes filing the Labor Condition Application with the DOL before submitting the H-1B petition to USCIS.
Which visa types does Google commonly use for QA Engineer roles?
Google sponsors H-1B, H-1B1, and E-3 visas for QA Engineers. H-1B is the most common path for most nationalities and requires winning the annual USCIS lottery. H-1B1 is available to Chilean and Singaporean nationals and is not subject to the lottery. E-3 is exclusive to Australian citizens and also bypasses the lottery, with consular processing typically faster than H-1B.
How do I apply for QA Engineer jobs at Google?
Applications go through Google's careers portal at careers.google.com. Search for QA Engineer or Software Engineer in Test roles and filter by location. Google's hiring process for QA typically includes a recruiter screen, a technical phone interview focused on coding and test design, and a virtual onsite with multiple rounds covering automation, debugging, and system design. You can also find sponsorship-eligible openings through Migrate Mate.
What qualifications does Google expect for QA Engineer candidates?
Google looks for QA Engineers with strong programming skills, typically in Python or Java, alongside hands-on experience building or maintaining test automation frameworks. Familiarity with large-scale distributed systems is valued for infrastructure-facing roles. A bachelor's degree in computer science or a related field is generally required, both for the role itself and to satisfy the specialty occupation standard under H-1B regulations.
How do I plan my timeline if I need visa sponsorship for a Google QA role?
If you need an H-1B and are not already in a valid work status, plan around USCIS's annual lottery, which opens in March for an October 1 start date. Securing an offer by late winter gives Google's immigration team time to register you in the lottery. If you qualify for E-3 or H-1B1, those paths move faster since neither requires the lottery, and consular appointments in Australia can often be scheduled within a few weeks.
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