Engineering Jobs at Google with Visa Sponsorship
Google hires Engineers across software, hardware, infrastructure, and AI disciplines, and the company has a well-established process for sponsoring work visas through its dedicated immigration legal team. If you're targeting an Engineering role here, sponsorship for qualified candidates is a standard part of the offer 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 a Silicon Validation Engineering Manager, you will lead the group focused on custom TPU silicon. You will set strategy and co-ordinate resources, planning, and execution for the team.
You will strategize, review, and execute test plans for silicon systems and subsystems. You will own silicon bringup, new product introduction (NPI), and sustaining efforts. You will serve as the central co-ordination point between your team and systems teams, including hardware, software, manufacturing, and supply chain. You will also manage relationships with vendors and contract manufacturers.
You will verify that silicon meets functional and performance requirements and own qualification, characterization, and deliverables for post-silicon, including interfaces, compute cores, power, and performance. You will debug issues, suggest fixes, and ensure silicon meets quality and reliability requirements throughout the entire product life-cycle (PLC).
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.
- 8 years of experience in silicon validation, with a focus on digital systems or accelerators which include high-speed interfaces.
- Experience as a manager or technical leadership for new product introduction in custom silicon.
- Experience with System Verilog, Firmware, C++, or Scripting.
PREFERRED QUALIFICATIONS
- Master's degree or PhD in Electrical Engineering, Computer Engineering or Computer Science, with an emphasis on computer architecture.
- Experience with the entire silicon development life-cycle related to Silicon Validation, architecture and design requirements, DFx features, tapeout, planning and readiness for post-silicon, and execution of post-silicon.
- Experience bringing silicon to high-volume manufacturing and sustaining programs.
- Experience in direct Silicon design or verification.
Responsibilities
- Lead the Silicon Validation team by planning, co-ordinating resources, and executing for custom silicon programs.
- Develop and implement silicon validation strategy, co-ordinating, developing, and reviewing test plans across silicon subsystems and systems including interfaces, compute, power, and performance.
- Execute custom silicon NPI, including silicon bringup, qualification, and sustaining quality and reliability.
- Collaborate with the broader silicon group on current and future post-silicon issues, recommending improvements to enhance power, performance, quality, and reliability.
- Serve as the primary point of silicon validation to internal and external partners for silicon and system delivery, functionality, and performance.
The US base salary range for this full-time position is $192,000-$278,000 + 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.
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 a Silicon Validation Engineering Manager, you will lead the group focused on custom TPU silicon. You will set strategy and co-ordinate resources, planning, and execution for the team.
You will strategize, review, and execute test plans for silicon systems and subsystems. You will own silicon bringup, new product introduction (NPI), and sustaining efforts. You will serve as the central co-ordination point between your team and systems teams, including hardware, software, manufacturing, and supply chain. You will also manage relationships with vendors and contract manufacturers.
You will verify that silicon meets functional and performance requirements and own qualification, characterization, and deliverables for post-silicon, including interfaces, compute cores, power, and performance. You will debug issues, suggest fixes, and ensure silicon meets quality and reliability requirements throughout the entire product life-cycle (PLC).
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.
- 8 years of experience in silicon validation, with a focus on digital systems or accelerators which include high-speed interfaces.
- Experience as a manager or technical leadership for new product introduction in custom silicon.
- Experience with System Verilog, Firmware, C++, or Scripting.
PREFERRED QUALIFICATIONS
- Master's degree or PhD in Electrical Engineering, Computer Engineering or Computer Science, with an emphasis on computer architecture.
- Experience with the entire silicon development life-cycle related to Silicon Validation, architecture and design requirements, DFx features, tapeout, planning and readiness for post-silicon, and execution of post-silicon.
- Experience bringing silicon to high-volume manufacturing and sustaining programs.
- Experience in direct Silicon design or verification.
Responsibilities
- Lead the Silicon Validation team by planning, co-ordinating resources, and executing for custom silicon programs.
- Develop and implement silicon validation strategy, co-ordinating, developing, and reviewing test plans across silicon subsystems and systems including interfaces, compute, power, and performance.
- Execute custom silicon NPI, including silicon bringup, qualification, and sustaining quality and reliability.
- Collaborate with the broader silicon group on current and future post-silicon issues, recommending improvements to enhance power, performance, quality, and reliability.
- Serve as the primary point of silicon validation to internal and external partners for silicon and system delivery, functionality, and performance.
The US base salary range for this full-time position is $192,000-$278,000 + 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.
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 Engineering Jobs at Google Jobs
Align your credentials to Google's engineering ladder
Google's Engineering roles map to a defined leveling system from L3 to L7 and above. Before applying, identify which level matches your experience so your resume speaks to the scope and impact expectations at that specific level.
Target teams known for visa-friendly hiring
Google's Search, Cloud, and AI divisions consistently file for H-1B, H-1B1, and E-3 visas. Search DOL Labor Condition Application disclosure data to see which Google offices and job titles have the strongest recent sponsorship history before you target specific teams.
Prepare your specialty occupation documentation early
USCIS requires your Engineering role to qualify as a specialty occupation. Gather your degree transcripts, any credential evaluations for non-U.S. degrees, and documentation linking your specific field of study to the Engineering job description before your offer stage.
Understand Google's H-1B lottery timing constraints
If you need a cap-subject H-1B, USCIS registration opens in March for an October 1 start date. A Google offer made after April with no existing work authorization means you'll wait up to 18 months before starting unless you qualify for a cap-exempt pathway.
Use Migrate Mate to find open Engineering roles at Google
Google posts Engineering positions across dozens of specializations simultaneously and hiring moves quickly. Use Migrate Mate to filter open Google Engineering jobs by visa type so you're applying only to roles where your specific sponsorship category is supported.
Engineering at Google jobs are hiring across the US. Find yours.
Find Engineering at Google JobsFrequently Asked Questions
Does Google sponsor H-1B visas for Engineers?
Yes, Google sponsors H-1B visas for Engineering roles and has done so consistently across its U.S. offices. Google's internal immigration team manages the process alongside outside counsel. If you're on OPT or need a cap-subject H-1B, Google will file your petition during the annual USCIS registration window in March for an October 1 start date.
Which visa types does Google sponsor for Engineering roles?
Google sponsors H-1B visas for most Engineering hires requiring work authorization. Australian citizens in qualifying Engineering roles can be sponsored for the E-3 visa, which has no lottery and can be filed year-round. Google also sponsors H-1B1 visas for citizens of Singapore and Chile. All three visa types require your Engineering role to meet USCIS specialty occupation standards.
What qualifications does Google expect for sponsored Engineering roles?
Most Engineering roles at Google require a bachelor's degree or higher in computer science, electrical engineering, or a directly related technical field. Senior and staff-level roles expect demonstrated impact at scale, often validated through Google's structured interview process covering algorithms, system design, and domain-specific knowledge. Your degree field must align with the role for USCIS specialty occupation approval.
How do I apply for Engineering jobs at Google?
Browse open Engineering positions filtered by visa sponsorship type on Migrate Mate to identify roles aligned with your work authorization needs. Apply through Google's careers portal with a resume that reflects Google's leveling expectations. Google's interview process for Engineering roles typically includes a recruiter screen, technical phone interviews, and an onsite or virtual loop before an offer is extended.
How do I time my Engineering job search at Google around visa deadlines?
If you need a cap-subject H-1B, USCIS registration closes in late March and approved petitions start October 1. Target a Google offer by February to give your immigration team enough time to prepare. If you're on OPT with a STEM extension, you have more flexibility, but you should still factor in USCIS H-1B processing timelines of three to six months without premium processing.
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