NVIDIA Green Card Visa Sponsorship Jobs USA
NVIDIA is one of the most active Green Card sponsors in the technology sector, consistently filing for engineers, researchers, and technical professionals across hardware, software, and AI disciplines. For skilled workers in high-demand fields, NVIDIA represents a strong and well-established path to permanent residence.
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Get Access To All JobsINTRODUCTION
NVIDIA is looking for a Senior AI Compute Engineer to join its Infrastructure Specialists team. Academic, commercial and government groups around the world are using NVIDIA products to revolutionize deep learning and data analytics, and to power data centers. Join the team building many of the largest and fastest AI Compute systems in the world! NVIDIA is looking for someone with the ability to work on a dynamic customer-focused team that requires excellent interpersonal skills. This role will be interacting with customers, partners and internal teams to analyze, define, and implement large-scale AI Compute projects. These efforts include a combination of networking, system design and automation and validation.
ROLE AND RESPONSIBILITIES
Primary responsibilities will include deploying, managing, and validating AI Compute/HPC infrastructure in Linux-based environments for new and existing customers.
Be the domain expert with customers during planning calls through implementation.
Handover-related documentation and perform knowledge transfers required to support customers as they begin rolling out some of the most sophisticated systems in the world!
Provide feedback to internal teams such as opening bugs, documenting workarounds, and suggesting improvements.
BASIC QUALIFICATIONS
8+ years providing in-depth support and deployment services; solving problems for hardware and software products.
Knowledge and experience with Linux system administration, process management, package management, task scheduling, kernel management, boot procedures/troubleshooting, performance reporting/optimization/logging, network-routing/advanced networking (tuning and monitoring).
Cluster management and provisioning technologies for bare-metal servers (bonus credit for BCM (Base Command Manager)).
Minimum of a four-year degree from an accredited university or college in Computer Science, Electrical or Computer Engineering or equivalent experience.
Scripting proficiency (Bash, Python, Ansible, etc.).
Excellent interpersonal skills and the ability to deliver resolutions for customer issues as they arise.
Strong organizational skills and ability to prioritize/multi-task easily with limited supervision.
Experience with schedulers such as SLURM, LSF, UGE, etc.
An ability to travel to customer sites within the United States up to 20% of the time.
Experience with benchmarking tools such as HPL, NCCL tests, MLPerf as well as Kubernetes experience.
PREFERRED QUALIFICATIONS
InfiniBand experience.
Experience with GPU (Graphics Processing Unit) focused hardware/software.
Experience with MPI (Message Passing Interface).
Storage technologies such as Lustre or GPFS.
* Familiarity with OEM GPU platforms.
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 148,000 USD - 235,750 USD for Level 4, and 184,000 USD - 287,500 USD for Level 5. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until April 17, 2026. This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering a diverse 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.
JR2015881
INTRODUCTION
NVIDIA is looking for a Senior AI Compute Engineer to join its Infrastructure Specialists team. Academic, commercial and government groups around the world are using NVIDIA products to revolutionize deep learning and data analytics, and to power data centers. Join the team building many of the largest and fastest AI Compute systems in the world! NVIDIA is looking for someone with the ability to work on a dynamic customer-focused team that requires excellent interpersonal skills. This role will be interacting with customers, partners and internal teams to analyze, define, and implement large-scale AI Compute projects. These efforts include a combination of networking, system design and automation and validation.
ROLE AND RESPONSIBILITIES
Primary responsibilities will include deploying, managing, and validating AI Compute/HPC infrastructure in Linux-based environments for new and existing customers.
Be the domain expert with customers during planning calls through implementation.
Handover-related documentation and perform knowledge transfers required to support customers as they begin rolling out some of the most sophisticated systems in the world!
Provide feedback to internal teams such as opening bugs, documenting workarounds, and suggesting improvements.
BASIC QUALIFICATIONS
8+ years providing in-depth support and deployment services; solving problems for hardware and software products.
Knowledge and experience with Linux system administration, process management, package management, task scheduling, kernel management, boot procedures/troubleshooting, performance reporting/optimization/logging, network-routing/advanced networking (tuning and monitoring).
Cluster management and provisioning technologies for bare-metal servers (bonus credit for BCM (Base Command Manager)).
Minimum of a four-year degree from an accredited university or college in Computer Science, Electrical or Computer Engineering or equivalent experience.
Scripting proficiency (Bash, Python, Ansible, etc.).
Excellent interpersonal skills and the ability to deliver resolutions for customer issues as they arise.
Strong organizational skills and ability to prioritize/multi-task easily with limited supervision.
Experience with schedulers such as SLURM, LSF, UGE, etc.
An ability to travel to customer sites within the United States up to 20% of the time.
Experience with benchmarking tools such as HPL, NCCL tests, MLPerf as well as Kubernetes experience.
PREFERRED QUALIFICATIONS
InfiniBand experience.
Experience with GPU (Graphics Processing Unit) focused hardware/software.
Experience with MPI (Message Passing Interface).
Storage technologies such as Lustre or GPFS.
* Familiarity with OEM GPU platforms.
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 148,000 USD - 235,750 USD for Level 4, and 184,000 USD - 287,500 USD for Level 5. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until April 17, 2026. This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering a diverse 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.
JR2015881
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Get Access To All JobsTips for Finding NVIDIA Green Card Jobs
Target roles in NVIDIA's core technical disciplines
NVIDIA sponsors Green Cards most consistently for roles in semiconductor engineering, AI research, software development, and hardware design. Focusing your application on these high-priority areas gives you the strongest chance of entering a Green Card-eligible position from day one.
Understand that Green Card sponsorship typically follows H-1B
At most technology companies including NVIDIA, Green Card sponsorship usually begins after you've been on H-1B visa status for some time. Expect the process to start once you've demonstrated strong performance and your manager initiates the PERM labor certification process.
Ask about sponsorship timelines during the offer stage
Green Card timelines vary significantly by your country of birth due to per-country backlogs. Raising this during the offer negotiation stage, not after you've joined, gives you clarity on what to expect and signals that you're thinking long-term about your career at NVIDIA.
Find verified NVIDIA Green Card roles before you apply
Not every open role at NVIDIA will lead to Green Card sponsorship. Migrate Mate surfaces verified sponsors so you can filter by real sponsorship history, helping you identify NVIDIA positions most likely to support the full immigration pathway you need.
Align your experience with NVIDIA's strategic growth areas
NVIDIA is investing heavily in AI, data center infrastructure, and autonomous systems. Candidates whose backgrounds directly support these priorities are more likely to be approved for Green Card sponsorship, as employers must demonstrate a genuine business need during PERM labor certification.
Build relationships with NVIDIA's recruiting and immigration teams
NVIDIA uses in-house immigration support for many of its sponsored employees. Connecting with technical recruiters who specialize in the roles you're targeting helps you understand how sponsorship is handled internally and whether the specific team has an active track record of Green Card filings.
NVIDIA Green Card Visa Sponsorship: Frequently Asked Questions
Does NVIDIA sponsor Green Card visas?
Yes, NVIDIA sponsors Green Card visas and is among the most active Green Card sponsors in the technology industry. Sponsorship is most common for technical and engineering roles, particularly in AI, semiconductor design, and software development. The process typically begins after a period of employment on an H-1B visa, initiated by the employee's manager and supported by NVIDIA's internal immigration team.
Which roles and departments at NVIDIA are most likely to receive Green Card sponsorship?
Green Card sponsorship at NVIDIA is most concentrated in technical disciplines including hardware engineering, deep learning research, GPU architecture, software engineering, and chip design. Research scientists and specialized engineers working on NVIDIA's core product lines tend to be strong candidates for sponsorship. Roles in corporate functions like finance or HR are less commonly sponsored for Green Card.
How do I start the Green Card process at NVIDIA?
The Green Card process at NVIDIA typically begins with your direct manager and HR business partner, who initiate a request to the immigration team once you've been in a qualifying role for a sufficient period. NVIDIA generally uses the PERM labor certification route, followed by an I-140 immigrant petition. Raising your long-term intentions early in your tenure helps ensure the process starts without unnecessary delay.
How long does the Green Card process take at NVIDIA?
The timeline depends heavily on your country of birth. For applicants born in countries without significant backlogs, the process from PERM filing to Green Card approval can take two to four years. For applicants born in India or China, per-country backlogs under the employment-based categories can extend the wait considerably longer. NVIDIA's immigration team can give you a more specific estimate based on your situation.
How do I find NVIDIA jobs that include Green Card sponsorship?
Not all NVIDIA job postings explicitly state Green Card sponsorship, which makes it difficult to identify eligible roles from job boards alone. Migrate Mate helps by surfacing roles from verified Green Card sponsors, so you can search NVIDIA openings filtered by real sponsorship history rather than relying on job descriptions that may not disclose immigration support.
What is the prevailing wage for Green Card sponsorship at NVIDIA?
Employers sponsoring a Green Card through the PERM labor certification process must pay at least the prevailing wage for the role. The Department of Labor determines this rate based on the specific job title, location, and experience level. The prevailing wage is locked in during the PERM filing and applies through the entire Green Card process. You can look up current rates using the DOL's OFLC Wage Search tool.