Laboratory Jobs at Google with Visa Sponsorship
Google's Laboratory roles sit at the intersection of research, hardware, and applied science, supporting teams across quantum computing, life sciences, and advanced materials. Google has a strong track record of sponsoring work visas for specialized technical functions, and Laboratory positions are well within that scope.
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Get Access To All JobsINTRODUCTION
As an organization, Google maintains a portfolio of research projects driven by fundamental research, new product innovation, product contribution and infrastructure goals, while providing individuals and teams the freedom to emphasize specific types of work. As a Research Scientist, you'll setup large-scale tests and deploy promising ideas quickly and broadly, managing deadlines and deliverables while applying the latest theories to develop new and improved products, processes, or technologies. From creating experiments and prototyping implementations to designing new architectures, our research scientists work on real-world problems that span the breadth of computer science, such as machine (and deep) learning, data mining, natural language processing, hardware and software performance analysis, improving compilers for mobile platforms, as well as core search and much more.
As a Research Scientist, you'll also actively contribute to the wider research community by sharing and publishing your findings, with ideas inspired by internal projects as well as from collaborations with research programs at partner universities and technical institutes all over the world.
In this role, you will focus on the modeling of inter-chip gate operations based on superconducting qubits, specifically centering on chip-to-chip connections using tunable couplers and superconducting waveguides. You will develop and analyze gate schemes suitable for multiplexing to reduce total line counts, which includes creating numerical models of physical processes that lead to gate errors. Your work will involve performing numerical simulations to compare with experimental results for gate optimization, while working in close collaboration with the hardware team to provide theoretical analysis and interpretation of experimental data.
The full potential of quantum computing will be unlocked with a large-scale computer capable of complex, error-corrected computations. Google Quantum AI's mission is to build this computer and unlock solutions to classically intractable problems. Our roadmap is focused on advancing the capabilities of quantum computing and enabling meaningful applications.
BASIC QUALIFICATIONS
- PhD degree in Physics or Electrical Engineering, or equivalent practical experience.
- Experience with coding in Python.
- One or more scientific publication submissions for conferences, journals, or public repositories related to quantum computing.
PREFERRED QUALIFICATIONS
- Experience with modeling of inter-chip gate operations.
- Experience with superconducting waveguide analysis.
- Experience with tunable couplers.
- Experience with parametric gates.
- Experience with transmon flux/charge noise analysis.
- Experience with Mathematica and C/C++.
COMPENSATION
The US base salary range for this full-time position is $147,000-$211,000 + 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
- Perform numerical simulations of inter-chip gate operations for superconducting transmon qubits and develop gate schemes suitable for multiplexing.
- Develop physics-based models for gate error mechanisms such as inter-chip cross-talk.
- Optimize system parameters through numerical simulations.
- Analyze experimental data.
- Propose and analyze new couplers for chip-to-chip connection with advanced performance.
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
As an organization, Google maintains a portfolio of research projects driven by fundamental research, new product innovation, product contribution and infrastructure goals, while providing individuals and teams the freedom to emphasize specific types of work. As a Research Scientist, you'll setup large-scale tests and deploy promising ideas quickly and broadly, managing deadlines and deliverables while applying the latest theories to develop new and improved products, processes, or technologies. From creating experiments and prototyping implementations to designing new architectures, our research scientists work on real-world problems that span the breadth of computer science, such as machine (and deep) learning, data mining, natural language processing, hardware and software performance analysis, improving compilers for mobile platforms, as well as core search and much more.
As a Research Scientist, you'll also actively contribute to the wider research community by sharing and publishing your findings, with ideas inspired by internal projects as well as from collaborations with research programs at partner universities and technical institutes all over the world.
In this role, you will focus on the modeling of inter-chip gate operations based on superconducting qubits, specifically centering on chip-to-chip connections using tunable couplers and superconducting waveguides. You will develop and analyze gate schemes suitable for multiplexing to reduce total line counts, which includes creating numerical models of physical processes that lead to gate errors. Your work will involve performing numerical simulations to compare with experimental results for gate optimization, while working in close collaboration with the hardware team to provide theoretical analysis and interpretation of experimental data.
The full potential of quantum computing will be unlocked with a large-scale computer capable of complex, error-corrected computations. Google Quantum AI's mission is to build this computer and unlock solutions to classically intractable problems. Our roadmap is focused on advancing the capabilities of quantum computing and enabling meaningful applications.
BASIC QUALIFICATIONS
- PhD degree in Physics or Electrical Engineering, or equivalent practical experience.
- Experience with coding in Python.
- One or more scientific publication submissions for conferences, journals, or public repositories related to quantum computing.
PREFERRED QUALIFICATIONS
- Experience with modeling of inter-chip gate operations.
- Experience with superconducting waveguide analysis.
- Experience with tunable couplers.
- Experience with parametric gates.
- Experience with transmon flux/charge noise analysis.
- Experience with Mathematica and C/C++.
COMPENSATION
The US base salary range for this full-time position is $147,000-$211,000 + 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
- Perform numerical simulations of inter-chip gate operations for superconducting transmon qubits and develop gate schemes suitable for multiplexing.
- Develop physics-based models for gate error mechanisms such as inter-chip cross-talk.
- Optimize system parameters through numerical simulations.
- Analyze experimental data.
- Propose and analyze new couplers for chip-to-chip connection with advanced performance.
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 Laboratory Jobs at Google Jobs
Align Your Credentials to Google's Research Areas
Google hires Laboratory specialists for projects spanning quantum hardware, biosystems, and materials science. Frame your CV around the specific research domain you're targeting, not generic lab skills, so your application maps cleanly to an open team.
Target Roles That Explicitly List Visa Sponsorship
Google posts Laboratory openings across multiple research divisions. Filter for roles that confirm sponsorship availability upfront, and use Migrate Mate to browse verified Laboratory positions at Google filtered by visa type, including H-1B and E-3.
Get Your Credentials Evaluated Before Applying
If your degree is from outside the U.S., obtain a NACES-approved credential evaluation before interviews begin. Google's recruiting process moves quickly, and having documentation ready prevents delays when your employer files the H-1B petition with USCIS.
Understand the H-1B Cap and Google's Filing Window
USCIS opens H-1B registration each March for an October 1 start date. If you receive an offer after the registration window closes, negotiate a conditional start date tied to the next cap cycle so the offer remains viable.
Clarify Sponsorship Scope During the Offer Stage
Before signing, confirm whether Google will cover premium processing through USCIS, which reduces adjudication to around 15 business days. For Laboratory roles with defined project timelines, premium processing protects your start date if standard processing runs long.
Use E-3 Status If You Hold Australian Citizenship
Google sponsors E-3 visas, which are available exclusively to Australian citizens and carry a separate annual allocation that has never been exhausted. The E-3 process skips the lottery entirely, giving you a more predictable path into a Google Laboratory role.
Laboratory at Google jobs are hiring across the US. Find yours.
Find Laboratory at Google JobsFrequently Asked Questions
Does Google sponsor H-1B visas for Laboratorys?
Yes, Google sponsors H-1B visas for Laboratory roles. These positions typically qualify as specialty occupations under USCIS criteria because they require at least a bachelor's degree in a directly related scientific field such as chemistry, biology, materials science, or engineering. Google's legal and HR teams manage the petition process once an offer is extended.
How do I apply for Laboratory jobs at Google?
You can search Google's careers portal directly, filtering by job function and location. For a faster view of which Laboratory openings confirm visa sponsorship, browse Migrate Mate, where Google's sponsored roles are listed and filterable by visa type. Prepare a research-focused resume that highlights specific instrumentation expertise, publications, and domain alignment with Google's active research programs before applying.
Which visa types does Google commonly use for Laboratory roles?
Google sponsors H-1B visas for most Laboratory hires, along with H-1B1 visas for nationals of Singapore and Chile, and E-3 visas for Australian citizens. All three classifications require the role to qualify as a specialty occupation. The E-3 and H-1B1 categories bypass the H-1B lottery, which can meaningfully shorten the time from offer to authorized start date.
What qualifications does Google expect for sponsored Laboratory positions?
Google's Laboratory roles generally require a bachelor's degree at minimum, with many research-oriented positions expecting a master's or PhD in a relevant scientific discipline. Hands-on experience with specialized instrumentation, familiarity with safety protocols, and a record of contributing to research projects or publications strengthens your profile. Roles tied to Google's hardware or quantum research teams often require specific domain depth beyond generalist lab experience.
How do I get a visa sponsorship timeline right when joining Google as a Laboratory professional?
For H-1B roles, USCIS registration opens in March and the earliest authorized start date is October 1 of the same year. If you're on OPT or another status with an expiring authorization, confirm the exact end date before accepting an offer and discuss whether Google will file for premium processing. H-1B1 and E-3 petitions are not subject to the annual lottery and can be filed closer to your intended start date, giving more scheduling flexibility.
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