Green Card AI Research Scientist Jobs
AI Research Scientist roles at U.S. research labs, tech companies, and universities regularly qualify for EB-2 or EB-3 green card sponsorship through the PERM labor certification process. Your employer files on your behalf, and a doctoral or master's degree in machine learning, computer science, or a related field typically anchors the petition.
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Get Access To All JobsINTRODUCTION
NVIDIA has transformed its business into an accelerated computing platform company, that includes GPU, DPU and software for AI/ML, Deep learning, HPC, Analytics, Visual Simulation, and Professional Graphics solutions across multiple industries. Be an integral part of a small, forward-thinking team responsible for a significant and rapidly growing revenue contribution to CSP group, the fastest growing and dynamic segment at NVIDIA.
ROLE AND RESPONSIBILITIES
- Lead customer engagement and business development activity with a major CSP account.
- Lead Technical Engagement: Engage with senior technical leaders and research teams at AI model builders. Optimize their workflows by leveraging NVIDIA's complete stack for their end-to-end generative AI workflows. Serve as a primary technical point of contact.
- Develop excellent strategic relationships with customers' R&D teams to understand customers' software and accelerated computing needs.
- Partner and collaborate with technical teams on platform design (SW/HW). Work with CSP partner to build alliances and expand GPU platform opportunities.
- Drive Integration: Accelerate the technical integration of NVIDIA's core generative AI technologies. This includes NVIDIA GPU architectures, high-performance networking, CUDA-X libraries, NeMo frameworks, and inference libraries. Integrate these into the training and inference pipelines of a large model builder.
- Being the link between the product team and the customer (roadmap updates, tech communications…).
- Enable our key partners to drive NVIDIA platform solutions sales.
BASIC QUALIFICATIONS
- Bachelor’s degree or higher in related field (or equivalent experience).
- 8+ overall years of technical sales, business development or product management or developer relations.
- 4+ years of leadership experience.
- An understanding of the business issues of large CSP.
- Accelerated Computing/Networking/Data Center technology background.
- Experience selling solutions to senior executives at named accounts. A real passion for getting things done in a complex sales and technology environment.
- Ability to provide thought leadership, think strategically and effectively communicate vision (both written and verbal) and influence cross-functionally. Excellent communication skills.
PREFERRED QUALIFICATIONS
- Strong background in AI and frontier models. Experience selling with or to large CSP.
- Experience with deep learning, data science, and NVIDIA GPUs.
- An MBA or graduate degree.
- Successful management of technical products throughout their lifecycle. Track record of successfully growing revenue for new innovative technology-based solutions. Proven ability to build and lead in a matrix-managed team culture.
- Excellent communication skills and ability to persuade - using simple communications that convey sophisticated concepts in a compelling, concise, and creative way. Strong executive presence, polish, and political savvy.
Your cash compensation will be determined based on your location, experience and the pay of employees in similar positions with 85% paid through base salary and 15% variable compensation. The cash compensation range is 248,000 USD - 396,750 USD. You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until November 2, 2026. This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering an inclusive 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 has transformed its business into an accelerated computing platform company, that includes GPU, DPU and software for AI/ML, Deep learning, HPC, Analytics, Visual Simulation, and Professional Graphics solutions across multiple industries. Be an integral part of a small, forward-thinking team responsible for a significant and rapidly growing revenue contribution to CSP group, the fastest growing and dynamic segment at NVIDIA.
ROLE AND RESPONSIBILITIES
- Lead customer engagement and business development activity with a major CSP account.
- Lead Technical Engagement: Engage with senior technical leaders and research teams at AI model builders. Optimize their workflows by leveraging NVIDIA's complete stack for their end-to-end generative AI workflows. Serve as a primary technical point of contact.
- Develop excellent strategic relationships with customers' R&D teams to understand customers' software and accelerated computing needs.
- Partner and collaborate with technical teams on platform design (SW/HW). Work with CSP partner to build alliances and expand GPU platform opportunities.
- Drive Integration: Accelerate the technical integration of NVIDIA's core generative AI technologies. This includes NVIDIA GPU architectures, high-performance networking, CUDA-X libraries, NeMo frameworks, and inference libraries. Integrate these into the training and inference pipelines of a large model builder.
- Being the link between the product team and the customer (roadmap updates, tech communications…).
- Enable our key partners to drive NVIDIA platform solutions sales.
BASIC QUALIFICATIONS
- Bachelor’s degree or higher in related field (or equivalent experience).
- 8+ overall years of technical sales, business development or product management or developer relations.
- 4+ years of leadership experience.
- An understanding of the business issues of large CSP.
- Accelerated Computing/Networking/Data Center technology background.
- Experience selling solutions to senior executives at named accounts. A real passion for getting things done in a complex sales and technology environment.
- Ability to provide thought leadership, think strategically and effectively communicate vision (both written and verbal) and influence cross-functionally. Excellent communication skills.
PREFERRED QUALIFICATIONS
- Strong background in AI and frontier models. Experience selling with or to large CSP.
- Experience with deep learning, data science, and NVIDIA GPUs.
- An MBA or graduate degree.
- Successful management of technical products throughout their lifecycle. Track record of successfully growing revenue for new innovative technology-based solutions. Proven ability to build and lead in a matrix-managed team culture.
- Excellent communication skills and ability to persuade - using simple communications that convey sophisticated concepts in a compelling, concise, and creative way. Strong executive presence, polish, and political savvy.
Your cash compensation will be determined based on your location, experience and the pay of employees in similar positions with 85% paid through base salary and 15% variable compensation. The cash compensation range is 248,000 USD - 396,750 USD. You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until November 2, 2026. This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering an inclusive 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.
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Get Access To All JobsTips for Finding Green Card Sponsorship as an AI Research Scientist
Align your credentials to EB-2 requirements
A U.S.-equivalent master's or doctoral degree in AI, machine learning, or computer science is the standard anchor for EB-2 petitions. If your foreign degree is a three-year program, obtain a credential evaluation before your employer begins the PERM process.
Target employers with active PERM filing history
Search the OFLC Foreign Labor Application Gateway disclosure data for AI Research Scientist or related SOC codes to find employers who have filed PERM cases recently. Published filings show actual job titles, worksites, and prevailing wage levels used.
Use Migrate Mate to find green card sponsoring roles
Filter by EB-2 or EB-3 sponsorship and AI Research Scientist titles on Migrate Mate to surface employers with verified green card filing history. This removes the guesswork of cold-applying to companies that have never sponsored a permanent resident.
Verify your prevailing wage before the offer stage
Your employer must pay at least the DOL prevailing wage for your location and experience level. Use the OFLC Wage Search to check the Level II or Level III wage for your target metro before negotiating, since PERM is rejected if the offered wage falls below it.
Clarify the PERM timeline during offer negotiations
PERM recruitment and DOL review currently take six to eighteen months before your employer can file the I-140 with USCIS. Ask at the offer stage whether the company runs PERM concurrently with onboarding or waits for a performance milestone.
Document research publications and patents early
USCIS officers scrutinize whether an AI Research Scientist role genuinely requires an advanced degree. Published papers, patents, and conference presentations in your application packet strengthen both the EB-2 job requirements argument and your own qualifying credentials.
Green Card AI Research Scientist: Frequently Asked Questions
Does an AI Research Scientist role qualify for EB-2 or EB-3 sponsorship?
Most AI Research Scientist positions qualify for EB-2 because employers routinely require a master's or doctoral degree in computer science, machine learning, or a related field as a minimum job requirement. If the employer's posted requirements specify only a bachelor's degree, the role defaults to EB-3. The distinction matters because EB-2 priority dates move faster for most countries outside of India and China.
How does PERM green card sponsorship differ from H-1B for this role?
An H-1B visa is a temporary nonimmigrant status with a six-year maximum and an annual lottery. PERM-based sponsorship leads to lawful permanent residency with no renewal cycle and no cap lottery at the EB-3 level for most countries. The trade-off is time: PERM labor certification, I-140 approval, and adjustment of status can take two to five years depending on your country of birth and USCIS workload.
What happens to my green card case if I change employers mid-process?
If you change employers before USCIS approves your I-140, your PERM filing is abandoned and your new employer must restart the process from scratch. After I-140 approval and once your priority date is current, portability rules under AC21 let you move to a same or similar role without losing your place in the queue, provided your adjustment of status application has been pending for at least 180 days.
Where can I find AI Research Scientist jobs that already offer green card sponsorship?
Migrate Mate filters job listings by EB-2 and EB-3 sponsorship history so you're only seeing employers who have filed PERM cases for this type of role. You can also cross-reference the DOL OFLC disclosure data directly by searching for AI Research Scientist SOC codes to confirm a company's recent labor certification activity before applying.
Can my employer sponsor me for a National Interest Waiver instead of going through PERM?
A National Interest Waiver, or NIW, lets qualified EB-2 candidates self-petition without employer sponsorship or PERM labor certification, but the burden is on you to demonstrate that your AI research work benefits the United States broadly. USCIS evaluates the importance of your research, your ability to advance it, and whether the national benefit outweighs the standard labor market test. It's a strong option for researchers with published work and institutional backing.