Technology Jobs in Colorado with E-3 Sponsorship
Colorado's technology sector spans Denver's growing startup ecosystem, Boulder's deep software and data science talent pool, and major employers like Google, Palantir, and Salesforce. Australian professionals pursuing E-3 sponsorship will find demand concentrated in software engineering, cloud infrastructure, and data roles, with established tech corridors in Denver and Boulder supporting active international hiring.
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INTRODUCTION
Applicants in the County of Los Angeles: Qualified applications with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.
Applicants in San Francisco: Qualified applications with arrest or conviction records will be considered for employment in accordance with the San Francisco Fair Chance Ordinance for Employers and the California Fair Chance Act.
The application window will be open until at least April 8, 2026. This opportunity will remain online based on business needs which may be before or after the specified date.
Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Goleta, CA, USA; San Francisco, CA, USA; Mountain View, CA, USA; Los Angeles, CA, USA; Boulder, CO, USA.
MINIMUM QUALIFICATIONS
- PhD degree in Physics or Engineering, other technical field, or equivalent practical experience.
- 3 years of experience conducting research in quantum information science or technology.
- Experience developing software for numerical simulation, modeling, or data analysis.
- One or more scientific publication submissions for conferences, journals, or public repositories (such as Physical Review, AAAS, Nature and npj, etc.).
PREFERRED QUALIFICATIONS
- Experience with modeling and simulation of atom array transport.
- Experience with optimal control theory.
- Understanding of theoretical atomic and optical physics.
- Familiarity with quantum information theory.
ABOUT THE JOB
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.
As a Research Scientist for Modeling and Simulation, you will be a pivotal contributor in analyzing and forecasting the potential capabilities of quantum computers. You will be responsible for the modeling and simulation of physics essential to the operation of neutral atom quantum processors. This includes investigating the transport of large neutral atom arrays while accounting for realistic environmental noise and the possible hardware limitations of both qubits and control systems. Furthermore, you will be responsible for developing software prototypes for the simulation and analysis of neutral atom operations and creating physically realistic noise models to support quantum error correction simulations. The full potential of quantum computing will be unlocked with a large-scale computer capable of 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.
The US base salary range for this full-time position is $174,000-$252,000 + 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
- Develop atom array error models for Quantum Error Correction (QEC) circuit simulations and resource estimation.
- Model and simulate atomic motion during atom array transports under potential noise and imperfections.
- Develop software for numerical simulation and analysis for atom array operations including gates and transport.
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
Applicants in the County of Los Angeles: Qualified applications with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.
Applicants in San Francisco: Qualified applications with arrest or conviction records will be considered for employment in accordance with the San Francisco Fair Chance Ordinance for Employers and the California Fair Chance Act.
The application window will be open until at least April 8, 2026. This opportunity will remain online based on business needs which may be before or after the specified date.
Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Goleta, CA, USA; San Francisco, CA, USA; Mountain View, CA, USA; Los Angeles, CA, USA; Boulder, CO, USA.
MINIMUM QUALIFICATIONS
- PhD degree in Physics or Engineering, other technical field, or equivalent practical experience.
- 3 years of experience conducting research in quantum information science or technology.
- Experience developing software for numerical simulation, modeling, or data analysis.
- One or more scientific publication submissions for conferences, journals, or public repositories (such as Physical Review, AAAS, Nature and npj, etc.).
PREFERRED QUALIFICATIONS
- Experience with modeling and simulation of atom array transport.
- Experience with optimal control theory.
- Understanding of theoretical atomic and optical physics.
- Familiarity with quantum information theory.
ABOUT THE JOB
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.
As a Research Scientist for Modeling and Simulation, you will be a pivotal contributor in analyzing and forecasting the potential capabilities of quantum computers. You will be responsible for the modeling and simulation of physics essential to the operation of neutral atom quantum processors. This includes investigating the transport of large neutral atom arrays while accounting for realistic environmental noise and the possible hardware limitations of both qubits and control systems. Furthermore, you will be responsible for developing software prototypes for the simulation and analysis of neutral atom operations and creating physically realistic noise models to support quantum error correction simulations. The full potential of quantum computing will be unlocked with a large-scale computer capable of 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.
The US base salary range for this full-time position is $174,000-$252,000 + 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
- Develop atom array error models for Quantum Error Correction (QEC) circuit simulations and resource estimation.
- Model and simulate atomic motion during atom array transports under potential noise and imperfections.
- Develop software for numerical simulation and analysis for atom array operations including gates and transport.
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.
Job Roles in Technology in Colorado
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Get Access To All JobsFrequently Asked Questions
Which technology companies sponsor E-3 visas in Colorado?
Several large technology employers with Colorado operations have histories of sponsoring work visas, including Google, Palantir Technologies, Salesforce, and Arrow Electronics, all headquartered or significantly staffed in the Denver-Boulder area. Midsize software companies and SaaS firms concentrated in Boulder and Denver's RiNo district also sponsor E-3 visas, particularly for engineering and product roles requiring specialized degrees.
Which cities in Colorado have the most technology E-3 sponsorship jobs?
Denver and Boulder account for the largest share of technology E-3 sponsorship opportunities in Colorado. Denver hosts major enterprise technology employers and a growing fintech and cybersecurity sector. Boulder has a dense concentration of software and data companies, particularly in SaaS and scientific computing. Colorado Springs has a smaller but active technology market, driven partly by defense and aerospace IT.
What types of technology roles typically qualify for E-3 sponsorship in Colorado?
Roles that typically qualify are those requiring at least a bachelor's degree in a specific technical field, such as software engineering, data science, cloud architecture, cybersecurity, machine learning, and DevOps. The position must constitute a specialty occupation under U.S. immigration guidelines. Generalist or broad management roles that accept any degree field are less likely to qualify, regardless of the industry.
How do I find technology E-3 sponsorship jobs in Colorado?
Migrate Mate is the most direct way to find technology E-3 sponsorship jobs in Colorado, as the platform filters specifically for employers willing to sponsor E-3 visas, saving you from manually screening hundreds of listings. You can filter by state and industry to surface Colorado technology roles, then assess which companies have active sponsorship patterns before applying.
Are there any Colorado-specific considerations for technology E-3 sponsorship?
Colorado's Equal Pay for Equal Work Act requires employers to include compensation ranges in job postings, which gives E-3 applicants useful data when assessing whether an offer meets the prevailing wage requirement tied to the Labor Condition Application. Additionally, Colorado's strong remote-work culture means some roles are listed as Colorado-based but involve distributed teams, so confirming the physical work location matters for your E-3 petition.
What is the prevailing wage for E-3 technology jobs in Colorado?
U.S. employers sponsoring a visa must pay at least the prevailing wage, which is what workers in the same role, area, and experience level typically earn. The Department of Labor sets this rate to make sure companies aren't hiring foreign workers simply because they'd accept lower pay than a U.S. worker. It varies by job title, location, and experience. You can look up current prevailing wage rates for any occupation and location using the OFLC Wage Search page.
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