Green Card Software Engineer AI Jobs
Software Engineer AI roles at U.S. companies regularly qualify for EB-2 and EB-3 green card sponsorship through the PERM labor certification process. Employers file a PERM application with DOL before petitioning USCIS via I-140, starting your path to permanent residency. Finding employers with active sponsorship history is the first step toward securing your offer.
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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 in Software Engineer AI
Document your AI specialization before applying
Gather degree transcripts, publications, patents, and performance reviews that confirm your advanced specialization in machine learning, NLP, or related AI domains. PERM requires the employer to define a specific minimum qualification, and your credentials must map precisely to that job description.
Target employers with PERM filing history
Companies that have filed PERM applications for software engineering roles before already have internal HR processes and legal counsel in place. Searching DOL PERM disclosure data by job title and SOC code narrows your list to employers who sponsor, not just those who might.
Use Migrate Mate to filter by sponsorship status
Search Migrate Mate for Software Engineer AI roles filtered by green card sponsorship history. The platform surfaces employers with verified PERM and I-140 filing records, saving you from applying to companies that have never sponsored a permanent resident petition.
Verify the prevailing wage tier before negotiating
Your PERM-certified wage must meet or exceed the DOL prevailing wage for your job title, location, and experience level. Look up your role's wage level using the OFLC Wage Search before salary discussions so you understand the floor the employer is legally bound to meet.
Ask recruiters about the EB-2 versus EB-3 category early
Whether your employer files under EB-2 or EB-3 affects your priority date and wait time, especially for nationals from India and China. Raise this during the offer stage, not after I-140 is filed, since the minimum education requirement in the job description determines which category applies.
Confirm your I-485 concurrency window during negotiations
If your priority date is current when USCIS accepts your I-140, you may file for adjustment of status concurrently, shortening total processing time. Build this timeline check into your offer discussion so both you and the employer understand the projected path to your green card.
Green Card Software Engineer AI: Frequently Asked Questions
Does a Software Engineer AI role qualify for EB-2 or EB-3 green card sponsorship?
Most Software Engineer AI positions qualify for EB-2 sponsorship when the employer requires a master's degree or equivalent in computer science, machine learning, or a related field. If the minimum requirement is a bachelor's degree plus two years of experience, the role typically falls under EB-3. The job description language the employer uses in the PERM application determines the category, so it matters how the role is written, not just what you hold.
How does green card sponsorship differ from H-1B sponsorship for AI engineers?
H-1B visa sponsorship grants temporary status, requires renewal every three years, and is subject to an annual lottery for cap-subject roles. EB-2 and EB-3 green card sponsorship through PERM leads to permanent residency with no lottery and no annual cap at the EB-3 level for most countries. The tradeoff is timeline: PERM labor certification, I-140 approval, and adjustment of status together can take two to four years before you hold a green card, compared to H-1B approval in a few months.
How do I find Software Engineer AI employers who actually sponsor green cards?
The most reliable method is searching DOL PERM disclosure data filtered by job title and SOC code to identify companies with a track record of filing permanent labor certifications for software engineering roles. Migrate Mate aggregates this data and lets you filter Software Engineer AI listings by employers with verified PERM and I-140 filing history, so you can focus your applications on companies that have already committed to the process.
Can my employer start the PERM process while I am on H-1B or OPT?
Yes. Employers can initiate PERM labor certification regardless of your current visa status. Starting PERM early is strategically useful because the labor certification is employer-specific and job-specific, not status-dependent. Filing while you are on H-1B or OPT does not affect your current work authorization, and an approved I-140 can preserve your priority date even if you later change employers under AC21 portability rules.
What does the PERM process look like for an AI engineering role specifically?
The employer first obtains a prevailing wage determination from DOL using the OFLC Wage Search for your specific job title, level, and location. They then run a mandatory recruitment campaign, documenting that no qualified U.S. workers applied for the role as defined. The PERM application is submitted through the FLAG system, and DOL either certifies or audits it. Certification typically takes six to eighteen months, after which the employer files I-140 with USCIS to establish your immigrant visa priority date.