Green Card AI Intern Jobs
AI Intern roles at U.S. tech and research companies can qualify for EB-2 or EB-3 green card sponsorship through PERM labor certification when the position requires a bachelor's degree or higher in computer science, data science, or a related field. Finding employers who file for permanent sponsorship at the intern-to-full-time pipeline stage is the key challenge.
Find Green Card AI Intern JobsOverview
Showing 5 of 635+ AI Intern jobs
See all 635+ AI Intern Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new AI Intern 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 635+ Green Card AI Intern Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Green Card AI Intern Jobs.
Get Access To All JobsTips for Finding Green Card Sponsorship as an AI Intern
Align your degree to SOC codes
PERM filings tie the role to a Standard Occupational Classification code. For AI Intern positions, codes like 15-2051 (Data Scientists) or 15-1299 require a degree in a specific field, so your transcript and credential evaluations need to match the employer's PERM job description precisely.
Target companies with intern-to-full-time pipelines
Employers only sponsor green cards for permanent, full-time positions. Focus on companies that convert interns to full-time roles, then initiate PERM after you convert, since no employer will sponsor a temporary intern position directly.
Search PERM filings before applying
Use Migrate Mate to filter employers by their green card filing history. Hiring managers at companies with active EB-2 or EB-3 PERM filings already understand the process, reducing the friction of introducing sponsorship in your offer negotiation.
Request an EB-3 professional track early
If your degree is a U.S. bachelor's or foreign equivalent in a relevant STEM field, you may qualify for EB-3 professional classification at the post-conversion full-time stage. Clarify this with your employer's HR team before accepting an offer, not after.
Confirm the employer's E-Verify enrollment
USCIS requires employers to be enrolled in E-Verify to sponsor certain employment-based green card petitions. Ask recruiters directly before your final interview round, as small AI startups frequently skip E-Verify enrollment until it becomes a compliance requirement.
Understand PERM advertising timelines
DOL requires employers to complete a mandatory recruitment period before filing a PERM application, which typically runs 30 to 180 days depending on the employer's specific ad placements. Budget for this lag when planning your timeline from offer acceptance to I-140 filing.
Green Card AI Intern: Frequently Asked Questions
Can an employer sponsor a green card for an AI Intern position directly?
No. PERM labor certification requires the sponsored position to be a permanent, full-time role. Internships are temporary by definition, so direct sponsorship of an AI Intern title isn't possible. The common path is to complete the internship, convert to a full-time AI or data science role, and then have the employer initiate PERM for that permanent position.
How does EB-3 green card sponsorship differ from H-1B for AI roles?
H-1B visa is a temporary status subject to an annual lottery with a cap of 85,000 slots. EB-3 leads to permanent residency with no annual cap at the petition level for most nationalities. The trade-off is time: EB-3 involves PERM labor certification, I-140 approval, and priority date waiting periods that can stretch multi-year, whereas H-1B status can begin within months of selection.
Does a foreign computer science degree qualify for EB-2 or EB-3 sponsorship in AI roles?
A foreign bachelor's degree in computer science, data science, or a closely related STEM field generally qualifies for EB-3 professional classification after credential evaluation confirms U.S. equivalency. EB-2 requires an advanced degree or its equivalent, so a master's or Ph.D. strengthens eligibility. Check the O*NET occupation profile for the specific SOC code your employer uses in the PERM filing to confirm degree field alignment.
How do I find AI employers who sponsor green cards?
Most job postings don't advertise PERM sponsorship explicitly. Migrate Mate lets you search AI and data science roles filtered by employers with verified green card filing histories, so you can target companies that have already gone through the PERM process rather than guessing which employers will sponsor after you receive an offer.
What is the prevailing wage requirement for AI Intern roles transitioning to full-time sponsored positions?
DOL requires employers to pay the prevailing wage for the specific role and work location as determined through the OFLC Wage Search tool. For AI and data science roles, prevailing wages are benchmarked against SOC-code data from the Bureau of Labor Statistics. Your employer must certify this wage on the PERM application, and the sponsored salary must meet or exceed that threshold at the time of filing.