Research Jobs at Google with Visa Sponsorship
Google hires Research professionals across areas like machine learning, systems research, and applied science, and actively sponsors work visas for qualified candidates in this function. If you're targeting a Research role here, you're pursuing one of the most active visa-sponsoring employers in the technology sector.
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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 Research Jobs at Google Jobs
Frame your research output for industry impact
Google's Research hiring committees look for published work that connects to real-world applications, not just academic novelty. Organize your CV around systems built, benchmarks advanced, or products influenced by your research to signal direct relevance.
Target teams aligned with your publication record
Google Research and DeepMind operate as distinct hiring tracks with different focus areas. Identify which team has published in your domain and apply directly to open roles under that group rather than casting a wide net.
Account for H-1B lottery timing in your job search
If you need H-1B sponsorship, USCIS runs the lottery in March for an October 1 start date. If you miss a cycle, ask whether Google can support you under cap-exempt status through an affiliated research institution while you wait.
Verify your work authorization gap before resigning
Transitioning between employers on an H-1B gives you a 60-day grace period under USCIS rules. Confirm Google's transfer timeline with their immigration team before you give notice so your status stays continuous throughout the process.
Browse open Research roles at Google on Migrate Mate
Filtering by visa type and role function saves significant time when you're targeting sponsoring employers. Migrate Mate lets you search Research positions at Google specifically by the visa categories they support, so you can prioritize applications that match your situation.
Research at Google jobs are hiring across the US. Find yours.
Find Research at Google JobsFrequently Asked Questions
Does Google sponsor H-1B visas for Research roles?
Yes, Google sponsors H-1B visas for Research positions and has a well-established immigration program to support the process. Because H-1B is subject to the annual USCIS lottery, timing matters. Google typically initiates filings in line with the March registration window for an October 1 start, so aligning your offer timeline to that cycle is practical if you need this visa category.
How do I apply for Research jobs at Google?
Applications go through Google's careers site, where Research roles are listed under functions like Research Scientist, Research Engineer, or Applied Scientist. Tailoring your application to the specific team's published work strengthens your candidacy. You can also browse open Research positions at Google filtered by visa sponsorship on Migrate Mate, which surfaces roles matched to your authorization needs.
Which visa types does Google sponsor for Research positions?
Google sponsors H-1B, H-1B1, and E-3 visas for Research roles. H-1B is available to most nationalities but requires winning the annual lottery. H-1B1 is available to Chilean and Singaporean nationals and is not lottery-based. E-3 is exclusive to Australian citizens and also bypasses the lottery, making it one of the more efficient paths for eligible candidates.
What qualifications does Google expect for Research roles?
Most Research positions at Google require a PhD in a relevant field such as computer science, machine learning, statistics, or a related discipline, along with a publication record in peer-reviewed venues. Some Research Engineer roles accept a master's degree paired with strong engineering experience. Demonstrating that your research connects to Google's active areas, like large language models, systems efficiency, or perception research, significantly strengthens your application.
How do I understand the visa filing timeline after accepting a Research offer at Google?
After an offer is accepted, Google's immigration team typically engages an external law firm to manage the petition. For H-1B transfers or E-3 and H-1B1 filings, there is no lottery and processing can move faster. USCIS premium processing is available for expedited adjudication if your start date is time-sensitive. Expect several weeks between offer acceptance and petition filing as the employer prepares documentation and the Department of Labor certifies the Labor Condition Application.
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