AI Research Scientist Jobs in USA with Visa Sponsorship
AI Research Scientists rank among the most actively sponsored roles in the U.S. Most employers file H-1B visa petitions for this position, and O-1A visas are a strong alternative for candidates with publications, patents, or conference presentations. A relevant graduate degree is almost always required. 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.
See all 265+ AI Research Scientist Jobs
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Get Access To All JobsTips for Finding Visa Sponsorship as an AI Research Scientist
Target employers with H-1B cap-exempt status
Universities, nonprofit research labs, and federally funded R&D centers can sponsor H-1B visas outside the annual lottery. For AI researchers, institutions like MIT Lincoln Laboratory or national labs offer a direct path without cap risk.
Build a publication record before applying
Employers sponsoring H-1B or O-1A visas for AI Research Scientists expect peer-reviewed publications or conference papers. A strong research output at NeurIPS, ICML, or ICLR signals both technical credibility and visa eligibility simultaneously.
Consider the O-1A if your H-1B wasn't selected
The O-1A has no lottery and no annual cap. AI researchers with publications, citations, conference speaking credits, or awards may qualify. Immigration attorneys report strong O-1A approval rates for candidates with a solid academic or industry research record.
Clarify your degree field matches the role
H-1B approval requires a specialty occupation link between your degree and the position. A PhD in computer science, statistics, or electrical engineering typically satisfies this. Mismatches between degree field and job description are a common reason for RFEs.
Ask about premium processing upfront
Premium processing reduces USCIS adjudication to 15 business days. For AI Research Scientists negotiating start dates, confirming whether the employer will elect premium processing avoids delays that can push back your first day by months.
Document your research contributions precisely
Sponsors need to write a strong support letter explaining the specialized nature of your role. Give your employer detailed documentation of your projects, methodologies, and outcomes. Vague job descriptions increase the likelihood of a Request for Evidence.
Frequently Asked Questions
Do companies actually sponsor visas for AI Research Scientist roles?
Yes, and this is one of the most actively sponsored job titles in the U.S. Large tech companies, university labs, and government-affiliated research centers routinely file H-1B visa petitions for this role. DOL disclosure data consistently shows AI Research Scientist and related titles among the highest-volume H-1B filings each year. You can browse verified sponsoring employers on Migrate Mate.
What visa is most common for AI Research Scientists?
The H-1B is the most common visa for this role, typically requiring at least a master's degree in computer science, machine learning, statistics, or a closely related field. The O-1A is a strong alternative for candidates with a documented research record, including publications, citations, patents, or peer recognition. L-1B transfers are also used when researchers move from an overseas office to a U.S. entity.
Does a PhD improve my chances of getting sponsored?
It helps, but it isn't required. A PhD strengthens both the H-1B specialty occupation argument and the O-1A extraordinary ability case. However, many employers successfully sponsor candidates holding a master's degree with relevant research experience. The critical factor is that your degree field directly corresponds to the technical requirements of the specific AI research position.
What happens to my sponsorship if I switch research focus or team?
A significant change in job duties can require an amended H-1B petition. If your role shifts from, say, natural language processing research to computer vision in a way that changes the underlying job description, your employer should file an amendment before the change takes effect. Minor shifts within the same specialty typically don't require a new filing, but your employer's immigration counsel should make that determination.
How long does H-1B sponsorship take for this role?
Without premium processing, USCIS adjudication currently takes 3 to 6 months after the cap lottery in April, with an October 1 start date. With premium processing, adjudication is reduced to 15 business days from filing. For cap-exempt employers such as universities and nonprofit research organizations, H-1B petitions can be filed year-round and processed on the same premium processing timeline.
What is the prevailing wage requirement for sponsored AI Research Scientist 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.