Architect Jobs at Google with Visa Sponsorship
Architect roles at Google sit at the intersection of large-scale infrastructure design and cutting-edge product development. Google has a well-established sponsorship track record for technical roles in this function, supporting candidates through H-1B, H-1B1, and E-3 pathways across its U.S. engineering offices.
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Get Access To All JobsINTRODUCTION
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 Power and Performance Architect, you will be a technical lead responsible for defining and driving the power architecture roadmap for Google’s next-generation TPU SOCs. You will focus on bridging the gap between high-level architectural concepts and silicon execution, ensuring that sophisticated power management features are successfully implemented to meet demands.
BASIC QUALIFICATIONS:
- Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, or a related field, or equivalent practical experience.
- 15 years of experience in the design or definition of computer chips (such as SOC, CPU, GPU, or hardware accelerators).
- Experience with performance analysis or performance modeling.
- Experience with power analysis, power modeling, or power delivery systems.
PREFERRED QUALIFICATIONS:
- Master's degree or PhD in Electrical Engineering, Computer Engineering or Computer Science, with an emphasis on computer architecture.
- Experience taking silicon power features from architecture definition through to tape-out and post-silicon validation.
- Experience with machine learning (ML) accelerator architecture and workload characterization for power optimization.
- Experience implementing DVFS or AVS, multi-voltage domain designs, and cross-layer power policies.
- Knowledge of system software components (Linux kernel, drivers) and their impact on runtime power/thermal behavior.
Responsibilities
- Lead the definition of power architecture for the next generation of TPU SOCs, optimizing for performance-per-watt across machine learning (ML) workloads.
- Bridge the architecture-to-execution gap by partnering with SOC implementation, IP providers, and hardware and software validation teams.
- Drive the design and integration of power management features, including dynamic voltage and frequency scaling (DVFS), power gating, and thermal mitigation strategies.
- Collaborate with the software community and data center teams to provide technology roadmaps that align silicon capabilities with system-level power constraints.
- Provide technical leadership and mentorship across multidisciplinary teams to anticipate future data center architectures and define SOC requirements.
COMPENSATION
- The US base salary range for this full-time position is $240,000-$334,000 + 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 Power and Performance Architect, you will be a technical lead responsible for defining and driving the power architecture roadmap for Google’s next-generation TPU SOCs. You will focus on bridging the gap between high-level architectural concepts and silicon execution, ensuring that sophisticated power management features are successfully implemented to meet demands.
BASIC QUALIFICATIONS:
- Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, or a related field, or equivalent practical experience.
- 15 years of experience in the design or definition of computer chips (such as SOC, CPU, GPU, or hardware accelerators).
- Experience with performance analysis or performance modeling.
- Experience with power analysis, power modeling, or power delivery systems.
PREFERRED QUALIFICATIONS:
- Master's degree or PhD in Electrical Engineering, Computer Engineering or Computer Science, with an emphasis on computer architecture.
- Experience taking silicon power features from architecture definition through to tape-out and post-silicon validation.
- Experience with machine learning (ML) accelerator architecture and workload characterization for power optimization.
- Experience implementing DVFS or AVS, multi-voltage domain designs, and cross-layer power policies.
- Knowledge of system software components (Linux kernel, drivers) and their impact on runtime power/thermal behavior.
Responsibilities
- Lead the definition of power architecture for the next generation of TPU SOCs, optimizing for performance-per-watt across machine learning (ML) workloads.
- Bridge the architecture-to-execution gap by partnering with SOC implementation, IP providers, and hardware and software validation teams.
- Drive the design and integration of power management features, including dynamic voltage and frequency scaling (DVFS), power gating, and thermal mitigation strategies.
- Collaborate with the software community and data center teams to provide technology roadmaps that align silicon capabilities with system-level power constraints.
- Provide technical leadership and mentorship across multidisciplinary teams to anticipate future data center architectures and define SOC requirements.
COMPENSATION
- The US base salary range for this full-time position is $240,000-$334,000 + 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 Architect Jobs at Google Jobs
Frame Your Portfolio Around Scale
Google's Architect interviews emphasize systems design at massive scale. Prepare case studies showing distributed systems, cloud infrastructure, or API architecture you've owned end-to-end. Generic portfolio work won't differentiate you in a candidate pool heavy with senior engineers.
Target Teams With Active LCA Filings
Not every Google team sponsors at the same pace. Search DOL's OFLC disclosure data for recent LCA filings under job titles like 'Software Architect' or 'Solutions Architect' to identify which Google locations and cost centers are actively hiring sponsored roles.
Distinguish Your Visa Type Early
Google sponsors H-1B, H-1B1, and E-3 visas for this function. If you're Australian or a Chilean or Singapore national, flag your visa category to your recruiter upfront. H-1B1 and E-3 skip the lottery entirely, which can accelerate Google's internal approval timelines.
Secure Your LCA Before Offer Finalization
Google's legal team files the Labor Condition Application with DOL before submitting your H-1B petition to USCIS. Confirm with your recruiter that LCA certification is scoped into the offer timeline. Delays here can push your start date by several weeks.
Use Migrate Mate to Find Open Architect Roles
Architect positions at Google with confirmed sponsorship aren't always easy to surface through general job boards. Use Migrate Mate to filter specifically for visa-sponsored Architect openings at Google and apply directly, without sorting through roles that don't support your status.
Align Your Degree Field to the Role Specification
USCIS requires that your degree field correspond directly to the Architect position, not just any technical degree. Google's job descriptions typically specify Computer Science, Computer Engineering, or a closely related field. A mismatch between your transcript and the job spec is a common petition risk.
Architect at Google jobs are hiring across the US. Find yours.
Find Architect at Google JobsFrequently Asked Questions
Does Google sponsor H-1B visas for Architects?
Yes, Google sponsors H-1B visas for Architect roles. Because H-1B is subject to an annual lottery with an 85,000-cap, Google typically submits registrations in March for an October 1 start date. If you hold E-3 or H-1B1 eligibility, those pathways bypass the lottery entirely and are also supported for this function.
Which visa types does Google commonly use for Architect roles?
Google sponsors H-1B, H-1B1, and E-3 visas for Architect positions. H-1B covers most nationalities but requires surviving the annual lottery. H-1B1 is available to Chilean and Singapore nationals; E-3 is available to Australian nationals. Both H-1B1 and E-3 have dedicated annual allocations that have historically gone unfilled, making them faster and more predictable options.
How do I apply for Architect jobs at Google?
Applications go through Google's careers portal, where Architect roles are listed under engineering and infrastructure functions. Tailoring your resume to reflect large-scale systems design, technical leadership, and specific Google technologies like GCP increases your chances of passing the initial screen. You can also browse Architect openings at Google with confirmed visa sponsorship directly through Migrate Mate.
What qualifications does Google expect for Architect roles?
Google's Architect positions generally require a bachelor's or master's degree in Computer Science, Computer Engineering, or a related technical field. Beyond credentials, Google looks for demonstrated experience designing distributed systems, leading architecture reviews, and driving technical decisions across cross-functional teams. Senior-level roles typically expect a decade or more of progressive engineering experience.
How do I plan my timeline for a sponsored Architect role at Google?
For H-1B, Google must register you in March for an October 1 start, meaning sponsorship conversations need to begin well before that window. E-3 and H-1B1 petitions can be filed year-round without a lottery, shortening the lead time significantly. Factor in DOL LCA certification, which typically takes seven to ten business days, before USCIS can receive your petition.
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