H-1B Visa Research And Development Jobs
Research and Development roles qualify as H-1B specialty occupations when they require at least a bachelor's degree in a directly related field like chemistry, engineering, or computer science. Many R&D employers are established H-1B sponsors, and cap-exempt research institutions can file year-round without entering the lottery.
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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 161+ 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 H-1B Visa Sponsorship in Research And Development
Align your degree to your R&D specialty
USCIS scrutinizes whether your degree field directly matches the research discipline. A chemistry degree supporting a biochemistry role is straightforward. A business degree for a materials research position will draw an RFE, so document the connection explicitly in your application.
Target cap-exempt research institutions first
Universities, nonprofit research organizations, and government research facilities can file H-1B petitions year-round outside the annual lottery. If you're early in your R&D career, these employers give you a path to status without waiting for the April registration window.
Search R&D employers by LCA filing history
Use Migrate Mate to filter R&D employers by verified DOL Labor Condition Application filings. This shows you which companies have actively sponsored H-1B workers in research roles, not just those with a general sponsorship policy listed on a careers page.
Request premium processing for research project deadlines
R&D project timelines rarely align with standard USCIS processing windows. Ask your employer to file with premium processing, which commits USCIS to a 15-business-day adjudication. This matters when a grant cycle or product launch depends on your start date.
Verify the prevailing wage level for your research role
R&D job titles span four DOL wage levels, and Level I research positions pay significantly less than Level III or IV. Use the OFLC Wage Search to look up the prevailing wage for your specific Standard Occupational Classification code before evaluating any offer.
Document IP and publication history before filing
USCIS officers assessing specialty occupation for R&D roles respond well to evidence of specialized expertise. Compile your patents, peer-reviewed publications, and conference presentations before your employer files the I-129, as these strengthen the specialty occupation argument in the petition.
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Find Research And Development JobsResearch And Development H-1B Visa: Frequently Asked Questions
Do R&D roles qualify as H-1B specialty occupations?
Yes, most R&D positions qualify because they require a bachelor's degree or higher in a specific technical field such as engineering, chemistry, biology, or computer science. USCIS evaluates whether the degree requirement is tied to the actual research duties, not just listed as a preference in the job posting. Roles where any general science degree satisfies the requirement carry more scrutiny.
Can I work at a university research lab on an H-1B?
Yes, and it's often easier than joining a commercial employer. Universities and affiliated nonprofit research institutions are cap-exempt, meaning they can file H-1B petitions at any time of year without entering the annual lottery. You'd still need to meet specialty occupation requirements, but you avoid the April registration window entirely, which is a practical advantage for research postdoc and lab positions.
How do I find R&D employers who actively sponsor H-1B visas?
Migrate Mate filters R&D job listings by employers with verified H-1B Labor Condition Application filing history through the DOL. This removes the guesswork of contacting companies that claim to sponsor but haven't filed recently. Pharmaceutical, defense, semiconductor, and biotech sectors consistently appear as active filers for research and development roles.
What happens to my H-1B if my R&D project ends early?
If your employer terminates your employment before your H-1B period expires, you have a 60-day grace period to find a new sponsor, change to another visa status, or depart the U.S. A new employer can file an H-1B transfer petition during this window. R&D contractors and grant-funded researchers face this risk more often, so it's worth confirming whether your role is tied to a specific project or is a permanent staff position.
Does my research experience outside the U.S. count toward H-1B eligibility?
Foreign research experience counts toward the specialty occupation analysis if it's in the same field as the U.S. role. USCIS accepts three years of specialized work experience as equivalent to one year of bachelor's-level education, so extensive lab or field research without a matching degree can still support a petition. Your employer's attorney will typically obtain a credentials evaluation from a recognized organization to document the equivalency.
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