AI Researcher Jobs in USA with Visa Sponsorship
AI Researcher roles are among the most actively sponsored positions in the U.S. right now. Most employers file H-1B visa petitions for this role, and many qualify for cap-exempt filing through universities and nonprofit research labs. A master's or PhD in computer science, machine learning, or a related field is standard. For detailed occupation requirements, see the O*NET profile.
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The Opportunity
For nearly a decade, Intel's Neuromorphic Computing Lab - together with a global ecosystem of 250+ research groups - has explored architectures, algorithms, and software inspired by the brain's extraordinary efficiency, scalability, and adaptability. Our Loihi series of research chips pioneered event-driven, sparse, and massively parallel neuro-inspired processing, fueling over 100 peer-reviewed publications that validate its promise. Now, we're entering an exciting new chapter: transforming these breakthroughs into real-world products that will power the coming era of physical AI systems - beyond the reach of GPUs and mainstream AI accelerators. If you are passionate about pushing the boundaries of computing, from transistor-level innovation to software abstractions, join us. Help define the next wave of AI technology that harnesses the proven advantages of Intel's neuromorphic computing technology with the versatility demanded by modern AI workloads.
Position Overview
Demonstrate the value of Intel's neuromorphic technologies by developing, implementing, and benchmarking algorithms for Intel's next-generation neuromorphic architecture to enable applications in edge computing, signal processing, and autonomous systems for the era of physical AI with groundbreaking performance and efficiency. This is a fixed-term opportunity lasting approximately 12 months, with the potential for extension subject to the approval of both parties.
Responsibilities
- Support the development and optimization of advanced AI algorithms and signal processing applications for edge platforms powered by Intel's next-generation neuromorphic architecture.
- Evaluate and benchmark signal processing algorithms on current and next-generation neuromorphic hardware.
- Validate Intel's neuromorphic SDK by running real-world signal processing workloads, gathering metrics, and proposing targeted software enhancements to the core development team.
- Present findings internally and to collaborators.
About The Organization
As part of Intel's CTO Office, you will join a vertically integrated incubation effort dedicated to bringing Intel's neuromorphic technology innovations to market. Our diverse team of engineers and researchers has pioneered sparse, event-based, neuromorphic architecture over multiple generations and is now focused on commercializing the technology in future Intel and partner products.
MINIMUM QUALIFICATIONS
- Enrolled in a PhD program in Computer Science, Computer Engineering, Electrical Engineering, Robotics, Physics, or a related field.
- 1+ years of experience writing clean, efficient and modular Python and C++ code.
- 1+ years of experience developing AI models for signal processing, perception, reasoning, and control.
- 1+ years of experience with software development best practices (OO design, testing, debugging, documentation, version control, code reviews).
- 1+ peer-reviewed publications.
PREFERRED QUALIFICATIONS
- Experience with edge AI HW accelerators or event-based sensors.
- Exposure to neuroscience and neurobiology-inspired algorithms.
- Experience in developing software for robotics or other real-time control systems.
- Experience with profiling and benchmarking algorithms and hardware architectures.
- Strong problem-solving and communication skills.
Job Type
Intel Contract Employee
Shift
Shift 1 (United States of America)
Primary Location:
US, California, Santa Clara
Additional Locations:
Business Group
The mission of the Corporate Technology Office (CTO) is to incubate and develop strategically important emerging technologies that will serve as building blocks for computing systems and platforms of the future. This is done in collaboration with the business units of Intel, with the goal of transferring these technologies to the business units for productization and revenue generation.
Posting Statement
All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance.
Position of Trust N/A
Benefits
We offer a total compensation package that ranks among the best in the industry. It consists of competitive pay, stock bonuses, and benefit programs which include health, retirement, and vacation. Find out more about the benefits of working at Intel.
Annual Salary Range for jobs which could be performed in the US: $52,000.00 - $200,000.00
The range displayed on this job posting reflects the minimum and maximum target compensation for the position across all US locations. 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 compensation range for your preferred location during the hiring process.
Work Model for this Role
This role will be eligible for our hybrid work model which allows employees to split their time between working on-site at their assigned Intel site and off-site.
- Job posting details (such as work model, location or time type) are subject to change.
ADDITIONAL INFORMATION:
Intel is committed to Responsible Business Alliance (RBA) compliance and ethical hiring practices. We do not charge any fees during our hiring process. Candidates should never be required to pay recruitment fees, medical examination fees, or any other charges as a condition of employment. If you are asked to pay any fees during our hiring process, please report this immediately to your recruiter.
Job Details
The Opportunity
For nearly a decade, Intel's Neuromorphic Computing Lab - together with a global ecosystem of 250+ research groups - has explored architectures, algorithms, and software inspired by the brain's extraordinary efficiency, scalability, and adaptability. Our Loihi series of research chips pioneered event-driven, sparse, and massively parallel neuro-inspired processing, fueling over 100 peer-reviewed publications that validate its promise. Now, we're entering an exciting new chapter: transforming these breakthroughs into real-world products that will power the coming era of physical AI systems - beyond the reach of GPUs and mainstream AI accelerators. If you are passionate about pushing the boundaries of computing, from transistor-level innovation to software abstractions, join us. Help define the next wave of AI technology that harnesses the proven advantages of Intel's neuromorphic computing technology with the versatility demanded by modern AI workloads.
Position Overview
Demonstrate the value of Intel's neuromorphic technologies by developing, implementing, and benchmarking algorithms for Intel's next-generation neuromorphic architecture to enable applications in edge computing, signal processing, and autonomous systems for the era of physical AI with groundbreaking performance and efficiency. This is a fixed-term opportunity lasting approximately 12 months, with the potential for extension subject to the approval of both parties.
Responsibilities
- Support the development and optimization of advanced AI algorithms and signal processing applications for edge platforms powered by Intel's next-generation neuromorphic architecture.
- Evaluate and benchmark signal processing algorithms on current and next-generation neuromorphic hardware.
- Validate Intel's neuromorphic SDK by running real-world signal processing workloads, gathering metrics, and proposing targeted software enhancements to the core development team.
- Present findings internally and to collaborators.
About The Organization
As part of Intel's CTO Office, you will join a vertically integrated incubation effort dedicated to bringing Intel's neuromorphic technology innovations to market. Our diverse team of engineers and researchers has pioneered sparse, event-based, neuromorphic architecture over multiple generations and is now focused on commercializing the technology in future Intel and partner products.
MINIMUM QUALIFICATIONS
- Enrolled in a PhD program in Computer Science, Computer Engineering, Electrical Engineering, Robotics, Physics, or a related field.
- 1+ years of experience writing clean, efficient and modular Python and C++ code.
- 1+ years of experience developing AI models for signal processing, perception, reasoning, and control.
- 1+ years of experience with software development best practices (OO design, testing, debugging, documentation, version control, code reviews).
- 1+ peer-reviewed publications.
PREFERRED QUALIFICATIONS
- Experience with edge AI HW accelerators or event-based sensors.
- Exposure to neuroscience and neurobiology-inspired algorithms.
- Experience in developing software for robotics or other real-time control systems.
- Experience with profiling and benchmarking algorithms and hardware architectures.
- Strong problem-solving and communication skills.
Job Type
Intel Contract Employee
Shift
Shift 1 (United States of America)
Primary Location:
US, California, Santa Clara
Additional Locations:
Business Group
The mission of the Corporate Technology Office (CTO) is to incubate and develop strategically important emerging technologies that will serve as building blocks for computing systems and platforms of the future. This is done in collaboration with the business units of Intel, with the goal of transferring these technologies to the business units for productization and revenue generation.
Posting Statement
All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance.
Position of Trust N/A
Benefits
We offer a total compensation package that ranks among the best in the industry. It consists of competitive pay, stock bonuses, and benefit programs which include health, retirement, and vacation. Find out more about the benefits of working at Intel.
Annual Salary Range for jobs which could be performed in the US: $52,000.00 - $200,000.00
The range displayed on this job posting reflects the minimum and maximum target compensation for the position across all US locations. 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 compensation range for your preferred location during the hiring process.
Work Model for this Role
This role will be eligible for our hybrid work model which allows employees to split their time between working on-site at their assigned Intel site and off-site.
- Job posting details (such as work model, location or time type) are subject to change.
ADDITIONAL INFORMATION:
Intel is committed to Responsible Business Alliance (RBA) compliance and ethical hiring practices. We do not charge any fees during our hiring process. Candidates should never be required to pay recruitment fees, medical examination fees, or any other charges as a condition of employment. If you are asked to pay any fees during our hiring process, please report this immediately to your recruiter.
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Get Access To All JobsTips for Finding AI Researcher Jobs
Target cap-exempt employers first
Universities, nonprofit research institutes, and government-affiliated labs can sponsor H-1B visas outside the annual lottery. For AI Researchers, this dramatically increases your odds of getting sponsored without waiting for a cap-subject slot.
Lead with publications and benchmarks
Employers evaluating AI Researchers want evidence of impact. Citing published papers, open-source contributions, or model performance benchmarks gives hiring managers and immigration attorneys concrete proof your role meets specialty occupation standards.
A PhD opens O-1A doors
AI Researchers with peer-reviewed publications, conference presentations, or awards may qualify for the O-1A extraordinary ability visa. It has no lottery, no annual cap, and is increasingly common for senior researchers at frontier AI labs.
Clarify your research scope early in interviews
Employers sometimes conflate AI Researchers with ML Engineers or Data Scientists, which affects how they structure sponsorship. Be specific about whether your role is research-focused to ensure the petition is filed under the right classification.
Degree field alignment matters for H-1B approval
USCIS requires your degree to directly relate to the research specialization. A PhD in physics applying to a natural language processing role may face scrutiny. Framing your coursework and thesis in terms of the job's technical requirements strengthens the petition.
EB-1A and NIW are realistic long-term paths
AI Researchers are well-positioned for EB-1A extraordinary ability or EB-2 National Interest Waiver green cards. Published research, citation counts, and national security or scientific impact arguments carry significant weight with USCIS adjudicators for both categories.
Frequently Asked Questions
Do AI Researcher roles typically qualify as H-1B specialty occupations?
Yes. AI Researcher positions almost universally qualify as specialty occupations because they require at minimum a bachelor's degree, and in practice a master's or PhD, in computer science, machine learning, statistics, or a closely related field. USCIS has a strong approval record for this role when the job description is research-specific and the degree field aligns with the work.
Can I get sponsored as an AI Researcher without going through the H-1B lottery?
Yes, through two main paths. First, cap-exempt employers, including universities, nonprofit research labs, and certain government-affiliated institutions, can file H-1B visa petitions year-round outside the lottery. Second, AI Researchers with strong publication records may qualify for the O-1A visa, which has no lottery or annual cap. Browse current openings on Migrate Mate to filter for employers with a track record of cap-exempt or O-1A sponsorship.
Does my degree need to be in AI or machine learning specifically?
Not necessarily, but it needs to be directly relevant to the research role. Computer science, statistics, mathematics, cognitive science, and electrical engineering are all accepted. Where applicants run into trouble is when the degree is in an unrelated field and the connection to AI research isn't clearly documented. USCIS looks at coursework, thesis topics, and specializations, not just the degree title.
What visa options are available for senior AI Researchers beyond the H-1B?
Senior AI Researchers have several strong options. The O-1A visa suits those with published papers, speaking invitations, awards, or high citation counts. The EB-1A immigrant visa (extraordinary ability) and EB-2 National Interest Waiver both work well for researchers whose work has demonstrated scientific or national significance. Both green card categories allow self-petition without an employer sponsor, which is a meaningful advantage.
How do employers typically assess whether to sponsor an AI Researcher?
Most employers look at three things: research output (publications, conference presentations, open-source contributions), technical specialization (the more narrowly defined, the easier the H-1B justification), and long-term retention potential. Frontier AI companies and academic institutions are generally more experienced with sponsorship and more willing to absorb the cost. Startups may require more upfront conversation about the process.
What is the prevailing wage requirement for sponsored AI Researcher jobs?
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.