Green Card AI Research Engineer Jobs
AI Research Engineer roles qualify for EB-2 green card sponsorship when they require an advanced degree in machine learning, computer science, or a related field. Employers file PERM labor certification with DOL before sponsoring your I-140 petition, creating a path to permanent residency rather than a temporary work authorization.
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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 Engineer
Document your research contributions before applying
PERM requires your employer to define the job's minimum requirements around your actual qualifications. Gather publications, patents, conference presentations, and GitHub repositories now, since EB-2 petitions live or die on credential specificity.
Target employers with active PERM filing history
AI research roles at national labs, established tech companies, and R&D-focused enterprises file PERM far more consistently than early-stage startups. Use the OFLC Wage Search to verify whether a prospective employer has sponsored similar roles before.
Understand how your O*NET classification affects your petition
AI Research Engineer maps to specific O*NET codes that DOL uses to benchmark prevailing wages and define the labor market test. Confirm your job duties match the O*NET profile before your employer submits the PERM application to avoid an audit.
Use Migrate Mate to filter jobs by green card sponsorship
Searching broadly wastes time on employers who sponsor H-1B visa but won't commit to PERM. Migrate Mate lets you filter AI Research Engineer roles specifically by employment-based green card sponsorship so every application targets a viable path to permanent residency.
Ask about EB-2 versus EB-3 routing during salary negotiations
Employers sometimes default to EB-3 to simplify the labor market test, but EB-2 can offer faster priority dates for certain nationalities. Raise this with your hiring contact before an offer is finalized, not after PERM is already filed.
File I-485 concurrently if your priority date is current
Once your employer files the I-140, USCIS allows concurrent adjustment of status if your country's priority date is immediately available. For nationals of countries without significant EB-2 backlogs, this collapses the timeline considerably compared to waiting sequentially.
Green Card AI Research Engineer: Frequently Asked Questions
Does an AI Research Engineer role qualify for EB-2 or EB-3 sponsorship?
AI Research Engineer positions typically qualify for EB-2 sponsorship because they normally require a master's degree or Ph.D. in machine learning, computer science, or a related discipline. If the employer defines the role as requiring only a bachelor's degree, it may fall under EB-3. The classification depends on the specific job requirements your employer documents in the PERM application, not just your personal credentials.
How does PERM green card sponsorship differ from H-1B for this role?
H-1B grants temporary work authorization for up to six years and is subject to an annual lottery. PERM-based green card sponsorship leads to permanent residency with no cap lottery at the EB-3 level for most nationalities. The trade-off is timeline: PERM labor certification, I-140 approval, and adjustment of status can take two to four years or longer depending on your country of birth, versus an H-1B that can start within months.
What does the PERM labor market test mean for AI Research Engineer openings?
DOL requires your employer to advertise the AI Research Engineer role to U.S. workers before sponsoring a foreign national through PERM. The job posting must reflect the actual minimum requirements of the position. Overstating qualifications to match only your credentials is a common audit trigger. Your employer must retain recruitment records for five years after filing.
How can I find AI Research Engineer jobs that offer green card sponsorship?
Most general job searches don't distinguish between employers willing to file PERM and those who only offer H-1B transfers. Migrate Mate filters AI Research Engineer roles by employment-based green card sponsorship, so you're only seeing positions where the employer has a documented history of supporting permanent residency. That saves significant time compared to asking about sponsorship company by company.
Can I switch employers after my green card sponsorship has started?
Under AC21 portability rules, you can change employers after your I-140 is approved and your I-485 has been pending for at least 180 days, as long as the new role is in the same or a similar occupational classification. For AI Research Engineer positions, a move to a closely related research or engineering role at a new employer generally qualifies, but USCIS evaluates the facts of each case individually.