Research Scientist Jobs at Google with Visa Sponsorship
Google hires Research Scientists to work on foundational and applied problems across AI, machine learning, systems, and human-computer interaction. The company has a strong track record of sponsoring work visas for this function, supporting candidates through H-1B, H-1B1, and E-3 pathways depending on your nationality.
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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.

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 Research Scientist Jobs at Google Jobs
Align your publications to Google's research priorities
Google's Research Scientist roles require a demonstrated publication record. Before applying, map your papers to active Google Research areas like large language models, quantum computing, or responsible AI to show direct relevance during screening.
Target teams that post PhD-required listings
Google distinguishes Research Scientists from Software Engineers by requiring a PhD in a relevant field. Focus your search on listings that explicitly state doctoral requirements. These roles have a stronger precedent for specialty occupation classification under H-1B petitions.
Find Google's open Research Scientist roles on Migrate Mate
Use Migrate Mate to filter Google's open Research Scientist positions by visa type. This saves time identifying which roles are actively being filled by international candidates and which sponsorship categories apply to your nationality.
Clarify your visa category before accepting an offer
If you're an Australian citizen, Google can file an E-3 petition year-round without lottery risk. Canadians may qualify for H-1B1. Confirm your eligibility category with Google's immigration team before signing, since each pathway has different processing timelines.
Request premium processing if your start date is fixed
USCIS offers premium processing for H-1B petitions, which guarantees a 15 business day adjudication window. For Research Scientist roles with defined project start dates or lab onboarding schedules, ask Google's legal team whether premium processing is included.
Prepare your degree equivalency documentation early
Google's immigration filings for Research Scientists often rely on your degree credentials to establish specialty occupation status. If your doctorate is from a non-U.S. institution, obtain a credential evaluation from a NACES-approved evaluator before your offer letter stage.
Research Scientist at Google jobs are hiring across the US. Find yours.
Find Research Scientist at Google JobsFrequently Asked Questions
Does Google sponsor H-1B visas for Research Scientists?
Yes, Google sponsors H-1B visas for Research Scientists. The role qualifies as a specialty occupation given the doctoral-level requirements in fields like computer science, machine learning, or statistics. Google's immigration team handles the filing, including the Labor Condition Application submitted to the DOL and the I-129 petition filed with USCIS.
Which visa types does Google use to sponsor Research Scientists?
Google sponsors Research Scientists through H-1B, H-1B1, and E-3 visas depending on your nationality. H-1B is the standard pathway for most international candidates and requires lottery selection. Australian citizens qualify for the E-3, which has no lottery and can be filed any time of year. Singaporean and Chilean nationals may qualify for H-1B1.
What qualifications does Google expect for Research Scientist roles?
Google requires a PhD in computer science, machine learning, statistics, or a closely related field for Research Scientist positions. Beyond the degree, you're expected to have a peer-reviewed publication record and hands-on experience with research in areas like deep learning, natural language processing, or systems design. Industry research experience alongside your academic background strengthens your application.
How do I apply for Research Scientist jobs at Google?
You can browse open Research Scientist roles at Google through Migrate Mate, which filters listings by visa sponsorship type so you can identify roles relevant to your situation. Applications go through Google's careers portal and typically involve a resume screen, technical phone interviews, and an on-site or virtual research presentation before an offer is extended.
How do I plan my timeline if I need H-1B sponsorship at Google?
H-1B registration opens in March each year, and USCIS conducts the lottery shortly after. If selected, Google can file your petition starting April 1 for an October 1 start date. That means you should have an offer finalized by late February. If you're on OPT, your 60-day grace period and STEM extension eligibility affect how long you can stay authorized between roles.
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