Research And Development Jobs in USA with Visa Sponsorship
Research and Development roles are among the most consistently sponsored positions in the U.S., with employers regularly filing H-1B visa, O-1, and EB-1 petitions for scientists, engineers, and technical researchers. Strong degree alignment and specialized expertise are the two factors that drive approval rates in this field.
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Get Access To All JobsAt Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done.
We are looking for talented System Developers and Researchers to join the Snowflake AI Research team and contribute to LLM inference and training system development, optimizations, and agentic systems. Our mission is to build the most efficient and scalable generative AI systems.
Recent releases from our team include SwiftKV, an advanced inference optimization, and Arctic LLM, one of the largest open-source MoE foundation models. This is an exciting opportunity to collaborate with a world-class team, including founding members of DeepSpeed, vLLM, and TensorFlow. Together, we will push the boundaries of deep learning systems and drive cutting-edge innovations in AI.
Responsibilities:
- Analyze and optimize GPU kernel performance for training and inference of LLMs.
- Develop and implement strategies to enhance the efficiency and scalability of deep learning systems.
- Profile and benchmark deep learning systems using tools and techniques to identify bottlenecks.
- Design and implement optimizations to reduce latency and improve resource utilization for training and inference.
- Stay updated with the latest advancements in GPU kernel optimization, deep learning, and LLM system development.
- Contribute to the development of agentic frameworks and applications for LLM-driven workflows, enhancing automation, reasoning, and decision-making capabilities.
- Open-source and publish innovations, optimizations, and engineering practices in technical blogs, top-tier conferences and journals.
Requirements
- Bachelor’s degree in Computer Science, Electrical Engineering, or a related field. A Master’s degree or PhD is preferred.
- 5 years of experience in GPU kernel optimization, deep learning system optimization, or high-performance computing (HPC).
- Proficiency in deep learning frameworks such as PyTorch, TensorFlow, JAX.
- Strong understanding of GPU architectures and experience with CUDA or similar frameworks.
- Experience with frameworks like CUTLASS, Triton, cuDNN, etc.
- Experience with profiling tools (e.g., nvprof, Nsight) and performance analysis methodologies.
- Solid problem-solving skills and ability to debug complex performance issues.
- Excellent communication skills and ability to work effectively in a cross-functional team environment.
Join us in optimizing deep learning systems and pushing the boundaries of AI efficiency. Apply now to be part of our dynamic and pioneering team!
Every Snowflake employee is expected to follow the company’s confidentiality and security standards for handling sensitive data. Snowflake employees must abide by the company’s data security plan as an essential part of their duties. It is every employee's duty to keep customer information secure and confidential.
Snowflake is growing fast, and we’re scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake.
How do you want to make your impact?
For jobs located in the United States, please visit the job posting on the Snowflake Careers Site for salary and benefits information: careers.snowflake.com
The following represents the expected range of compensation for this role:
- The estimated base salary range for this role is $200,000 - $287,500.
- Additionally, this role is eligible to participate in Snowflake’s bonus and equity plan.
The successful candidate’s starting salary will be determined based on permissible, non-discriminatory factors such as skills, experience, and geographic location. This role is also eligible for a competitive benefits package that includes: medical, dental, vision, life, and disability insurance; 401(k) retirement plan; flexible spending & health savings account; at least 12 paid holidays; paid time off; parental leave; employee assistance program; and other company benefits.
To comply with pay transparency requirements and other statutes, you can notify us if you believe that a job posting is not compliant by completing this form.
At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done.
We are looking for talented System Developers and Researchers to join the Snowflake AI Research team and contribute to LLM inference and training system development, optimizations, and agentic systems. Our mission is to build the most efficient and scalable generative AI systems.
Recent releases from our team include SwiftKV, an advanced inference optimization, and Arctic LLM, one of the largest open-source MoE foundation models. This is an exciting opportunity to collaborate with a world-class team, including founding members of DeepSpeed, vLLM, and TensorFlow. Together, we will push the boundaries of deep learning systems and drive cutting-edge innovations in AI.
Responsibilities:
- Analyze and optimize GPU kernel performance for training and inference of LLMs.
- Develop and implement strategies to enhance the efficiency and scalability of deep learning systems.
- Profile and benchmark deep learning systems using tools and techniques to identify bottlenecks.
- Design and implement optimizations to reduce latency and improve resource utilization for training and inference.
- Stay updated with the latest advancements in GPU kernel optimization, deep learning, and LLM system development.
- Contribute to the development of agentic frameworks and applications for LLM-driven workflows, enhancing automation, reasoning, and decision-making capabilities.
- Open-source and publish innovations, optimizations, and engineering practices in technical blogs, top-tier conferences and journals.
Requirements
- Bachelor’s degree in Computer Science, Electrical Engineering, or a related field. A Master’s degree or PhD is preferred.
- 5 years of experience in GPU kernel optimization, deep learning system optimization, or high-performance computing (HPC).
- Proficiency in deep learning frameworks such as PyTorch, TensorFlow, JAX.
- Strong understanding of GPU architectures and experience with CUDA or similar frameworks.
- Experience with frameworks like CUTLASS, Triton, cuDNN, etc.
- Experience with profiling tools (e.g., nvprof, Nsight) and performance analysis methodologies.
- Solid problem-solving skills and ability to debug complex performance issues.
- Excellent communication skills and ability to work effectively in a cross-functional team environment.
Join us in optimizing deep learning systems and pushing the boundaries of AI efficiency. Apply now to be part of our dynamic and pioneering team!
Every Snowflake employee is expected to follow the company’s confidentiality and security standards for handling sensitive data. Snowflake employees must abide by the company’s data security plan as an essential part of their duties. It is every employee's duty to keep customer information secure and confidential.
Snowflake is growing fast, and we’re scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake.
How do you want to make your impact?
For jobs located in the United States, please visit the job posting on the Snowflake Careers Site for salary and benefits information: careers.snowflake.com
The following represents the expected range of compensation for this role:
- The estimated base salary range for this role is $200,000 - $287,500.
- Additionally, this role is eligible to participate in Snowflake’s bonus and equity plan.
The successful candidate’s starting salary will be determined based on permissible, non-discriminatory factors such as skills, experience, and geographic location. This role is also eligible for a competitive benefits package that includes: medical, dental, vision, life, and disability insurance; 401(k) retirement plan; flexible spending & health savings account; at least 12 paid holidays; paid time off; parental leave; employee assistance program; and other company benefits.
To comply with pay transparency requirements and other statutes, you can notify us if you believe that a job posting is not compliant by completing this form.
See all 196+ Research And Development jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Research And Development roles.
Get Access To All JobsTips for Finding Research And Development Jobs
Lead with your degree field, not just your title
H-1B approval for R&D roles hinges on degree-to-job alignment. A materials science degree supporting a materials research role is a stronger petition than a general engineering degree. Make the connection explicit in every application you submit.
Target employers with a track record of R&D sponsorship
Pharmaceutical companies, national laboratories, semiconductor firms, and university research centers file the most R&D petitions annually. Focusing your search on these employer categories significantly improves your odds of finding genuine sponsorship willingness.
Publications and patents carry real weight
USCIS evaluates specialty occupation through the lens of complexity. Peer-reviewed publications, patents, or conference presentations signal that your work operates at a level requiring the advanced degree the H-1B demands. Include these in your resume and cover letter.
Consider O-1A if your record is strong
R&D professionals with significant published research, awards, or demonstrated industry impact may qualify for the O-1A extraordinary ability visa. It has no annual cap, no lottery, and can be filed year-round, making it a reliable alternative to H-1B.
Understand the difference between research and development roles
Pure research positions at universities or national labs often qualify as cap-exempt, meaning employers can file H-1B petitions outside the annual lottery. Confirm whether your prospective employer qualifies before assuming you must enter the cap season.
Use Migrate Mate to find sponsors who have filed before
Migrate Mate surfaces R&D job listings from employers with verified sponsorship histories. Applying to companies that have already navigated the process reduces friction and signals the employer understands the commitment involved in sponsoring technical researchers.
Research And Development jobs are hiring across the US. Find yours.
Find Research And Development JobsFrequently Asked Questions
What visa is most commonly used to sponsor Research and Development professionals?
The H-1B is the most common path, but R&D roles are also well-represented in O-1A petitions for researchers with strong publication records, and EB-1A or EB-2 NIW green card filings for those with demonstrated national importance. Employers at universities and federally funded research centers may qualify as cap-exempt, allowing H-1B filings outside the annual lottery entirely.
Does my degree field need to match the specific R&D role I'm applying for?
Yes, and this is one of the most common reasons R&D H-1B petitions face scrutiny. USCIS requires a direct relationship between the degree field and the position's duties. A biochemistry researcher with a biochemistry degree is straightforward. A broad engineering degree supporting a highly specialized research role may require additional documentation, such as expert opinion letters explaining the connection.
Are R&D jobs more likely to get H-1B approval than other roles?
Research and development positions generally have strong approval rates because the specialty occupation requirement is easier to satisfy. The roles typically require specific advanced degrees, involve complex methodologies, and command compensation consistent with degreed professionals. USCIS data consistently shows science and engineering occupations among the highest-volume and highest-approval H-1B categories.
Can I get sponsored for an R&D role without a PhD?
Yes. Most R&D sponsorship happens at the master's or bachelor's level, particularly in industry settings. A bachelor's degree in a directly related field is the minimum for H-1B eligibility. That said, PhD holders tend to face fewer questions about specialty occupation, and some research-focused roles, particularly at national labs or pharmaceutical companies, do expect advanced degrees.
Where can I find R&D jobs that offer visa sponsorship?
Migrate Mate is the best starting point if you need sponsorship. It filters specifically for employers willing to sponsor, so you're not wasting time on listings that exclude international candidates. R&D roles in biotech, semiconductors, defense contractors, and university research programs appear regularly, and many of those employers have established processes for filing H-1B and O-1 petitions.
What is the prevailing wage requirement for sponsored Research And Development 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.
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