Green Card Artificial Intelligence Scientist Jobs
Artificial Intelligence Scientist roles qualify for EB-2 green card sponsorship when the position requires an advanced degree in computer science, machine learning, or a related field. Employers file PERM labor certification with DOL before sponsoring permanent residency, and research-focused AI roles often support EB-2 National Interest Waiver eligibility without a specific job offer.
Find Green Card Artificial Intelligence Scientist JobsOverview
Showing 5 of 1,371+ Artificial Intelligence Scientist jobs
See all 1,371+ Artificial Intelligence Scientist Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Artificial Intelligence Scientist roles.
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.
See all 1,371+ Green Card Artificial Intelligence Scientist Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Green Card Artificial Intelligence Scientist Jobs.
Get Access To All JobsTips for Finding Green Card Sponsorship as an Artificial Intelligence Scientist
Document your AI research output early
PERM audits frequently target AI Scientist roles because DOL scrutinizes whether the position genuinely requires an advanced degree. Compile peer-reviewed publications, patent filings, and conference presentations before applications begin so your employer's PERM filing reflects verifiable specialty occupation evidence.
Target employers with PERM filing history
Not every company sponsoring H-1B visa workers will sponsor PERM green cards. Focus on employers that have filed PERM applications for AI research roles specifically, as these companies already have immigration counsel and an established process for employment-based sponsorship.
Use Migrate Mate to filter sponsoring employers
Searching for AI Scientist roles with confirmed green card sponsorship history cuts weeks off your research. Migrate Mate surfaces employers with active EB-2 and EB-3 filing histories so you're targeting companies already committed to permanent sponsorship, not just work visa transfers.
Understand the prevailing wage before negotiating
Your employer must pay at least the DOL prevailing wage for your AI Scientist role and location. Look up your specific SOC code using the OFLC Wage Search before salary discussions so you know the floor, since PERM approval depends on the offered wage meeting that threshold.
Ask employers about concurrent I-140 filing
Once your employer submits a PERM application, ask whether they'll file your I-140 petition concurrently with adjustment of status if your priority date is current. For nationals from countries without significant EB-2 backlogs, concurrent filing can compress the overall green card timeline substantially.
Explore EB-2 National Interest Waiver for AI research
AI Scientist roles with national security, healthcare AI, or public-interest research applications may qualify for a National Interest Waiver, letting you self-petition without employer sponsorship. USCIS evaluates substantial merit and national importance, so documented societal impact strengthens an NIW case considerably.
Green Card Artificial Intelligence Scientist: Frequently Asked Questions
Does an Artificial Intelligence Scientist role qualify for EB-2 or EB-3 green card sponsorship?
Most AI Scientist positions qualify under EB-2 because the role typically requires a master's degree or PhD in computer science, machine learning, or a related field. EB-3 applies when the employer classifies the role as a skilled worker position requiring a bachelor's degree. The PERM filing category depends on the minimum education the employer lists in the job description, not your actual credentials.
How does PERM green card sponsorship differ from H-1B sponsorship for AI Scientist roles?
H-1B is a temporary nonimmigrant status lasting up to six years, with an annual cap and lottery for most applicants. PERM-based EB-2 or EB-3 sponsorship leads to lawful permanent residency with no annual cap at the EB-3 level for most countries outside India and China. The PERM process takes longer, typically one to three years from labor certification through green card approval, but the outcome is permanent rather than a renewable temporary status.
What does the PERM labor certification process look like for an AI Scientist position?
Your employer files an Application for Permanent Employment Certification with DOL, demonstrating that no qualified U.S. worker is available for the role at the prevailing wage. For AI Scientist positions, DOL often audits PERM applications because the job market is competitive. Employers must conduct a documented recruitment campaign before filing. The process typically takes six to eighteen months before the I-140 petition stage begins.
Can I find AI Scientist jobs where employers are already committed to green card sponsorship?
Yes. Employers who have filed PERM applications for AI research roles previously are more likely to sponsor again because they have established immigration processes. Migrate Mate filters job listings by employers with green card sponsorship history, so you can focus on companies that have completed EB-2 or EB-3 filings rather than spending time approaching employers unfamiliar with the PERM process.
Is a National Interest Waiver a realistic path for AI Scientists who want to self-petition?
It can be, particularly for researchers working on AI applications in healthcare, national security, climate modeling, or critical infrastructure. USCIS evaluates whether your work has substantial merit and national importance and whether you are well-positioned to advance it. A strong publication record, citations, and documented real-world impact support an NIW petition. Unlike PERM, the NIW requires no employer sponsorship and no prevailing wage requirement.