Research Engineer Green Card Jobs
Research Engineer roles qualify for EB-2 and EB-3 green card sponsorship when the position requires at least a bachelor's degree in engineering, computer science, or a related technical field. Employers file a PERM labor certification with DOL before sponsoring your I-140 petition, putting you on a path to permanent residency rather than a temporary work authorization.
See All Research Engineer JobsOverview
Showing 5 of 1,938+ Research Engineer jobs


Have you applied for this role?


Have you applied for this role?


Have you applied for this role?


Have you applied for this role?


Have you applied for this role?
See all 1,938+ Research Engineer jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Research Engineer roles.
Get Access To All Jobs
INTRODUCTION
NVIDIA's AI Developer Tools organization is seeking a Senior Research Engineer to join our Research team, where we build the AI coding agents, models, datasets, and evaluations at the heart of NVIDIA's strategy to put AI-powered coding tools in the hands of every CUDA developer. The AI coding space is moving faster than any of us have seen — products rise and fall in months — and we work on it from the epicenter: the company whose hardware most of the AI industry runs on.
Our team is small, in-person, and high-velocity. We prototype and ship novel coding agents, fine-tune and evaluate code LLMs, publish benchmarks like ComputeEval, and contribute datasets that feed NVIDIA's Nemotron foundation models. We make NVIDIA's core developer tools — including Nsight Compute and Nsight Systems — first-class citizens for AI agents through MCP servers and Agent Skills. The space shifts every few weeks, and we move with it. In this role, you'll bring applied AI research depth to a team that values shipping as much as experimentation. You won't be filling a narrow gap — you'll pick up significant projects across our portfolio, help set direction on new ones, and partner closely with product teams turning our research into features used by NVIDIA developers and external customers. For experienced AI-for-code practitioners who want to do frontier applied work with the stability and resources of NVIDIA behind them, this is a rare seat.
ROLE AND RESPONSIBILITIES
What you'll be doing:
- Build and improve novel coding agents that help NVIDIA developers write, optimize, and maintain CUDA code — and that work alongside other AI agents in the developer's workflow
- Design and ship evaluations, including extensions of our public ComputeEval benchmark, that measure what really matters in AI-powered CUDA development
- Fine-tune and specialize code LLMs, and partner with the Nemotron team on the datasets and evaluations that feed NVIDIA's foundation models
- Develop Agent Skills, MCP servers, and other tool-use interfaces that make NVIDIA's developer tools (Nsight Compute, Nsight Systems, and more) first-class for AI agents
- Generate, curate, and validate synthetic training and evaluation data for CUDA programming
- Deliver "net new knowledge" to frontier LLMs through RAG and skill-based systems that keep models current with NVIDIA's fast-moving software stack
- Collaborate with partner product teams to turn research prototypes into shipping features used inside NVIDIA and by external customers
BASIC QUALIFICATIONS
What we need to see:
- B.S. in Computer Science or related technical field or equivalent experience (M.S. or Ph.D. a plus)
- 12+ years of industry experience in applied AI/ML, with meaningful recent work in the AI-for-code space — coding agents, code LLMs, AI developer tools, or adjacent systems
- Strong proficiency in Python and sound software engineering practices
- Hands-on experience fine-tuning or evaluating LLMs, with appropriate humility about the complexity of training and data work
- Fluency with the systems side of LLM-powered agents, including practical concerns like context management, prompt caching, tool-use design, MCP, and Agent Skills
- Experience designing or contributing to rigorous evaluations for code generation or agentic systems
- Track record of shipping — taking work past the prototype stage and into the hands of real users
- Comfortable in a small, collaborative, in-person team with fast direction changes and little process overhead
PREFERRED QUALIFICATIONS
Ways to stand out from the crowd:
- Public contributions in the AI-for-code space — open-source agents or tools, widely-used benchmarks, influential papers, or blog posts with demonstrated real-world impact
- Experience building coding agents or code LLMs that real users rely on every day
- Familiarity with CUDA or other GPU programming, and/or with NVIDIA profiling tools (Nsight Compute, Nsight Systems) and libraries (cuDNN, cuBLAS, Thrust, CUB)
- Experience with synthetic data generation and quality validation for code
- Track record of zero-to-one product work, or work inside a recently-rebooted org with a strong mandate and customer pull
With competitive salaries and benefits, NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're an applied AI researcher or engineer who wants to ship AI coding tools from the epicenter of the AI industry, and you thrive in a small, in-person team with a clear mandate, this is the role for you!
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 224,000 USD - 356,500 USD for Level 5, and 272,000 USD - 431,250 USD for Level 6.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until May 4, 2026.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

INTRODUCTION
NVIDIA's AI Developer Tools organization is seeking a Senior Research Engineer to join our Research team, where we build the AI coding agents, models, datasets, and evaluations at the heart of NVIDIA's strategy to put AI-powered coding tools in the hands of every CUDA developer. The AI coding space is moving faster than any of us have seen — products rise and fall in months — and we work on it from the epicenter: the company whose hardware most of the AI industry runs on.
Our team is small, in-person, and high-velocity. We prototype and ship novel coding agents, fine-tune and evaluate code LLMs, publish benchmarks like ComputeEval, and contribute datasets that feed NVIDIA's Nemotron foundation models. We make NVIDIA's core developer tools — including Nsight Compute and Nsight Systems — first-class citizens for AI agents through MCP servers and Agent Skills. The space shifts every few weeks, and we move with it. In this role, you'll bring applied AI research depth to a team that values shipping as much as experimentation. You won't be filling a narrow gap — you'll pick up significant projects across our portfolio, help set direction on new ones, and partner closely with product teams turning our research into features used by NVIDIA developers and external customers. For experienced AI-for-code practitioners who want to do frontier applied work with the stability and resources of NVIDIA behind them, this is a rare seat.
ROLE AND RESPONSIBILITIES
What you'll be doing:
- Build and improve novel coding agents that help NVIDIA developers write, optimize, and maintain CUDA code — and that work alongside other AI agents in the developer's workflow
- Design and ship evaluations, including extensions of our public ComputeEval benchmark, that measure what really matters in AI-powered CUDA development
- Fine-tune and specialize code LLMs, and partner with the Nemotron team on the datasets and evaluations that feed NVIDIA's foundation models
- Develop Agent Skills, MCP servers, and other tool-use interfaces that make NVIDIA's developer tools (Nsight Compute, Nsight Systems, and more) first-class for AI agents
- Generate, curate, and validate synthetic training and evaluation data for CUDA programming
- Deliver "net new knowledge" to frontier LLMs through RAG and skill-based systems that keep models current with NVIDIA's fast-moving software stack
- Collaborate with partner product teams to turn research prototypes into shipping features used inside NVIDIA and by external customers
BASIC QUALIFICATIONS
What we need to see:
- B.S. in Computer Science or related technical field or equivalent experience (M.S. or Ph.D. a plus)
- 12+ years of industry experience in applied AI/ML, with meaningful recent work in the AI-for-code space — coding agents, code LLMs, AI developer tools, or adjacent systems
- Strong proficiency in Python and sound software engineering practices
- Hands-on experience fine-tuning or evaluating LLMs, with appropriate humility about the complexity of training and data work
- Fluency with the systems side of LLM-powered agents, including practical concerns like context management, prompt caching, tool-use design, MCP, and Agent Skills
- Experience designing or contributing to rigorous evaluations for code generation or agentic systems
- Track record of shipping — taking work past the prototype stage and into the hands of real users
- Comfortable in a small, collaborative, in-person team with fast direction changes and little process overhead
PREFERRED QUALIFICATIONS
Ways to stand out from the crowd:
- Public contributions in the AI-for-code space — open-source agents or tools, widely-used benchmarks, influential papers, or blog posts with demonstrated real-world impact
- Experience building coding agents or code LLMs that real users rely on every day
- Familiarity with CUDA or other GPU programming, and/or with NVIDIA profiling tools (Nsight Compute, Nsight Systems) and libraries (cuDNN, cuBLAS, Thrust, CUB)
- Experience with synthetic data generation and quality validation for code
- Track record of zero-to-one product work, or work inside a recently-rebooted org with a strong mandate and customer pull
With competitive salaries and benefits, NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're an applied AI researcher or engineer who wants to ship AI coding tools from the epicenter of the AI industry, and you thrive in a small, in-person team with a clear mandate, this is the role for you!
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 224,000 USD - 356,500 USD for Level 5, and 272,000 USD - 431,250 USD for Level 6.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until May 4, 2026.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
See all 1,938+ Research Engineer jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Research Engineer roles.
Get Access To All JobsTips for Finding Green Card Sponsorship as a Research Engineer
Frame your credentials for PERM qualification
PERM requires the job to genuinely need your specific degree field, not just any bachelor's degree. Document your research specialization clearly so your credentials align tightly with the employer's minimum requirements listed on the ETA Form 9089.
Target labs with established immigration infrastructure
National labs, R&D-heavy tech firms, and university-affiliated research centers file PERM petitions far more frequently than early-stage startups. Prioritize employers who have sponsored foreign Research Engineers before, since a first-time sponsor adds months of internal legal setup.
Search sponsoring employers using Migrate Mate
Use Migrate Mate to filter Research Engineer roles by employers with active green card filing history, so you're not applying to positions where sponsorship is theoretical rather than established practice.
Verify the prevailing wage before accepting an offer
Your offer must meet DOL's prevailing wage for your specific SOC code and work location. Use the OFLC Wage Search to check Level I through Level IV wages for Research Engineer roles before signing, since PERM approval depends on the employer paying at or above that threshold.
Ask employers about concurrent I-140 and I-485 filing
If your priority date is current, your employer can file the I-140 immigrant petition and your I-485 adjustment of status simultaneously, cutting months off your wait. Confirm whether your prospective employer's immigration counsel is set up to handle concurrent filing from day one.
Preserve your O*NET profile as a qualification anchor
USCIS evaluates whether your role meets specialty occupation standards, and Research Engineer maps to specific O*NET codes that document the required degree fields. Keep a copy of the O*NET profile for your specific role to support any Request for Evidence response during I-140 adjudication.
Research Engineer jobs are hiring across the US. Find yours.
Find Research Engineer JobsResearch Engineer Green Card Sponsorship: Frequently Asked Questions
Does a Research Engineer role typically qualify for EB-2 or EB-3 sponsorship?
Most Research Engineer positions qualify for EB-2 when the employer requires a master's degree or equivalent, or when you have a bachelor's degree plus at least five years of progressively responsible experience in a specialized research area. Roles requiring only a bachelor's degree typically fall under EB-3. The employer's stated minimum requirements on the PERM labor certification determine which category applies, so the job description wording matters significantly.
How does the green card process differ from H-1B sponsorship for Research Engineers?
The H-1B is a temporary three-year work visa, subject to annual lottery selection and renewal limits. Employment-based green card sponsorship through PERM is a permanent immigration process with no lottery and no annual cap at the EB-3 level for most countries. The tradeoff is time: PERM requires a DOL-supervised recruitment process that typically adds six to twelve months before USCIS even receives the I-140 petition, whereas H-1B processing can be completed in weeks with premium processing.
What is the PERM recruitment process, and how does it affect Research Engineers specifically?
Before filing PERM, your employer must conduct a supervised recruitment campaign and document that no minimally qualified U.S. workers are available for the role. For Research Engineer positions, this typically includes journal advertisements, campus postings, and internal job listings. The employer must prove the role's requirements are genuinely tied to business necessity, and any overly specific or unusual requirements can trigger DOL audit. Your qualifications should align exactly with the stated minimums to avoid complications.
How do I find Research Engineer jobs where employers are genuinely willing to sponsor a green card?
Sponsorship willingness varies widely even among large employers with immigration programs. Use Migrate Mate to search Research Engineer openings filtered by employers with verified green card filing histories, so you're targeting positions where PERM sponsorship is an established process rather than a case-by-case negotiation. Approaching an employer who has sponsored similar roles before reduces your risk of a delayed or withdrawn sponsorship offer.
Can I switch Research Engineer jobs after my employer files the PERM petition?
Changing employers after PERM is filed but before the I-140 is approved typically means starting the entire PERM process over with the new employer. Once your I-140 is approved and you've held that priority date for at least 180 days, federal law may allow you to port to a new employer in the same or a similar occupational classification without losing your place in the green card queue. Confirm with your immigration attorney before accepting any new offer.
See which Research Engineer employers are hiring and sponsoring visas right now.
Search Research Engineer Jobs