Research And Development Green Card Jobs
Research and development roles in the U.S. routinely qualify for EB-2 and EB-3 green card sponsorship through PERM labor certification, with employers filing I-140 petitions on your behalf. R&D positions in life sciences, engineering, and materials science frequently meet specialty occupation standards, making direct employment-based sponsorship a realistic path to permanent residency.
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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 136+ 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 Green Card Sponsorship in Research And Development
Document your research output before applying
Compile publications, patents, grants, and conference presentations into a single credentials file. PERM requires your employer to demonstrate your qualifications meet the minimum job requirements, and a well-organized record speeds up that verification step.
Identify employers with active PERM filings
Search DOL disclosure data for R&D-specific PERM filings by job title and SOC code. Employers who have filed recently are familiar with the certification timeline and less likely to abandon sponsorship mid-process due to internal process uncertainty.
Clarify EB-2 versus EB-3 eligibility early
R&D roles requiring a master's degree or equivalent typically qualify under EB-2, which skips the PERM step if you pursue a National Interest Waiver. Roles requiring only a bachelor's degree fall under EB-3, where PERM labor certification is mandatory regardless of your credentials.
Search R&D sponsoring employers through Migrate Mate
Filter for R&D roles where employers have green card filing history using Migrate Mate. Targeting companies with a documented sponsorship track record reduces the risk of starting a multi-year PERM process with an employer who hasn't done it before.
Verify the prevailing wage before negotiating offers
Your employer must pay at least the DOL prevailing wage for your occupation and location throughout the PERM process. Use OFLC Wage Search to look up the Level I through IV wage for your R&D job title and worksite before you discuss compensation.
Confirm the employer will cover PERM recruitment costs
PERM requires the employer to conduct and document a formal recruitment process before USCIS will approve the I-140. Confirm during the offer stage that your employer will absorb attorney and filing fees, since USCIS rules prohibit passing those costs to you.
Research And Development jobs are hiring across the US. Find yours.
Find Research And Development JobsResearch And Development Green Card Sponsorship: Frequently Asked Questions
Do R&D jobs commonly qualify for EB-2 green card sponsorship?
Yes. Research and development roles in fields like biotechnology, engineering, chemistry, and materials science routinely qualify under EB-2 because they require a master's degree or its equivalent. If your role involves original research of national importance, your employer may also pursue an EB-2 National Interest Waiver, which bypasses PERM labor certification entirely and can significantly shorten the path to permanent residency.
How does green card sponsorship differ from H-1B sponsorship for R&D professionals?
Green card sponsorship through PERM, I-140, and adjustment of status leads to permanent residency, not a temporary status subject to renewal. Unlike the H-1B, there is no annual lottery for EB-3 sponsorship, and the process is not capped at six years. The tradeoff is timeline: PERM labor certification alone takes six to twelve months, and priority date backlogs vary significantly by country of birth.
What does the PERM labor certification process involve for R&D roles?
PERM requires your employer to demonstrate that no qualified U.S. workers are available for the position. DOL mandates specific recruitment steps, including job postings, newspaper advertisements, and internal notices. For R&D roles, the job description must accurately reflect the actual duties and minimum qualifications, since overstating requirements to match your credentials is a common audit trigger that can invalidate the application.
How can I find R&D employers who are open to green card sponsorship?
The most efficient method is filtering for employers with a documented history of PERM and I-140 filings in your specific R&D discipline. Migrate Mate surfaces R&D jobs where employers have active green card sponsorship history, so you can focus your search on companies already familiar with the process rather than trying to convince an employer to start from scratch.
Can I switch R&D employers after my I-140 is approved?
Yes, under AC21 portability rules, you can change employers after your I-140 has been approved and your adjustment of status application has been pending for at least 180 days, as long as the new role is in the same or a similar occupational classification. R&D roles within the same scientific or engineering discipline generally satisfy this requirement, but you should confirm with USCIS documentation before making a move.
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