Systems Engineer Jobs at NVIDIA with Visa Sponsorship
Systems Engineer jobs at NVIDIA sit at the intersection of hardware architecture, software integration, and large-scale infrastructure deployment. NVIDIA has a consistent track record of sponsoring international engineers across H-1B visa, E-3 visa, and employment-based Green Card pathways, making it a realistic target for qualified candidates who need work authorization.
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Get Access To All JobsNVIDIA’s development of the GPU in 1999 revolutionized the PC gaming industry, reshaped contemporary computer graphics, and transformed parallel computing. In recent years, GPU deep learning has propelled modern AI, ushering in a new era of computing where GPU systems serve as the core intelligence for computers, robots, and autonomous vehicles, enabling them to perceive and interpret the world around them. NVIDIA Research is at the forefront of developing cutting edge hardware, software, and algorithmic technologies for next generation GPU systems. We are eager to expand our teams with the most brilliant minds globally.
What you'll be doing:
- Conduct cutting edge research on algorithms, hardware, and system software extending the state of the art in deep learning, humanoid robotics, database analytics, general computing, and other technology areas surrounding NVIDIA's business.
- Invent new techniques, technologies, methodologies, processes, and devices that can enable new products or types of products. Deliverable results include prototypes, patents, leading to products and publications.
- Develop new methods and processes for research and scientific evaluation of research techniques and artifacts including agentic driven techniques, simulation, modeling, and benchmarking.
- Produce technology vision and the basis for products 5-10 years out. Focus should not be on products currently shipping or in development, except as to how they can be extended and improved.
What we need to see:
- Pursuing PhD Degree in relevant discipline(s) (CS, CE, EE, Physics, Math)
- At least one year of university or industrial research experience in computer architecture or computer systems, including operating systems, distributed systems, compilers, or AI/ML systems.
- Strong programming ability: C, C++ and Python preferred.
- Eagerness to learn and use AI tools for software development and system design.
- Experience designing and evaluating research ideas through prototyping, simulation, modeling, or experimentation.
- Strong programming skills and the ability to communicate research ideas, methods, and results clearly.
Ways to stand out from the crowd:
- Chip/system level arch: agentic techniques for computer architecture; specialized accelerators for deep-learning and humanoid robotics
- Systems for AI/ML: systems infrastructure for LLM training, inference, and agents/tools; state management in agentic systems; systems for humanoid robotics
- AI/systems co-design
- Experience contributing to research targeting leading architecture and systems conferences, such as ISCA, ASPLOS, MICRO, HPCA, SOSP, MLSys, NSDI, or OSDI.
- Publications are a plus but are not required. We welcome candidates with research in progress, including manuscripts in preparation or submissions under review.
NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-looking and hardworking people in the world working for us. If you're creative and autonomous, we want to hear from you!
Our internship hourly rates are a standard pay based on the position, your location, year in school, degree, and experience. The hourly rate for our interns is 38 USD - 94 USD.
You will also be eligible for Intern benefits.
Applications for this job will be accepted at least until September 21, 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.
NVIDIA’s development of the GPU in 1999 revolutionized the PC gaming industry, reshaped contemporary computer graphics, and transformed parallel computing. In recent years, GPU deep learning has propelled modern AI, ushering in a new era of computing where GPU systems serve as the core intelligence for computers, robots, and autonomous vehicles, enabling them to perceive and interpret the world around them. NVIDIA Research is at the forefront of developing cutting edge hardware, software, and algorithmic technologies for next generation GPU systems. We are eager to expand our teams with the most brilliant minds globally.
What you'll be doing:
- Conduct cutting edge research on algorithms, hardware, and system software extending the state of the art in deep learning, humanoid robotics, database analytics, general computing, and other technology areas surrounding NVIDIA's business.
- Invent new techniques, technologies, methodologies, processes, and devices that can enable new products or types of products. Deliverable results include prototypes, patents, leading to products and publications.
- Develop new methods and processes for research and scientific evaluation of research techniques and artifacts including agentic driven techniques, simulation, modeling, and benchmarking.
- Produce technology vision and the basis for products 5-10 years out. Focus should not be on products currently shipping or in development, except as to how they can be extended and improved.
What we need to see:
- Pursuing PhD Degree in relevant discipline(s) (CS, CE, EE, Physics, Math)
- At least one year of university or industrial research experience in computer architecture or computer systems, including operating systems, distributed systems, compilers, or AI/ML systems.
- Strong programming ability: C, C++ and Python preferred.
- Eagerness to learn and use AI tools for software development and system design.
- Experience designing and evaluating research ideas through prototyping, simulation, modeling, or experimentation.
- Strong programming skills and the ability to communicate research ideas, methods, and results clearly.
Ways to stand out from the crowd:
- Chip/system level arch: agentic techniques for computer architecture; specialized accelerators for deep-learning and humanoid robotics
- Systems for AI/ML: systems infrastructure for LLM training, inference, and agents/tools; state management in agentic systems; systems for humanoid robotics
- AI/systems co-design
- Experience contributing to research targeting leading architecture and systems conferences, such as ISCA, ASPLOS, MICRO, HPCA, SOSP, MLSys, NSDI, or OSDI.
- Publications are a plus but are not required. We welcome candidates with research in progress, including manuscripts in preparation or submissions under review.
NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-looking and hardworking people in the world working for us. If you're creative and autonomous, we want to hear from you!
Our internship hourly rates are a standard pay based on the position, your location, year in school, degree, and experience. The hourly rate for our interns is 38 USD - 94 USD.
You will also be eligible for Intern benefits.
Applications for this job will be accepted at least until September 21, 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 85+ Systems Engineer Jobs at NVIDIA
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Systems Engineer Jobs at NVIDIA.
Get Access To All JobsTips for Finding Systems Engineer Jobs at NVIDIA
Tailor your resume to NVIDIA's technical stack
NVIDIA's Systems Engineer postings consistently emphasize GPU architecture, CUDA, high-speed networking, and data center infrastructure. Align your resume to those specific technologies before applying. Generic systems engineering CVs rarely clear NVIDIA's initial screening.
Target teams with active LCA filings
Search DOL's OFLC disclosure database for NVIDIA's certified Labor Condition Applications under the Systems Engineer job title. Teams with recent LCA activity have cleared internal approvals to sponsor, making them far more receptive to candidates who need visa support.
Raise sponsorship early in recruiter conversations
NVIDIA's recruiting process moves quickly from phone screen to technical rounds. Confirm the role is open to sponsored candidates before investing in case study prep or take-home assessments. This avoids late-stage surprises after weeks of interviews.
Understand how NVIDIA structures H-1B cap timing
If you're outside cap-exempt status, USCIS's April 1 filing window and October 1 start date govern when you can begin work. Align your offer negotiation with NVIDIA's HR team around that cycle so your expected start date is realistic for both sides.
Build credentials that demonstrate specialty occupation standing
USCIS evaluates whether a Systems Engineer role genuinely requires a specialized degree. Certifications in NVIDIA-relevant domains like data center networking, GPU computing, or systems architecture strengthen the specialty occupation argument in your I-129 petition.
Use Migrate Mate to filter verified NVIDIA openings
Not all NVIDIA Systems Engineer postings explicitly state visa sponsorship availability. Use Migrate Mate to filter for roles at NVIDIA that are confirmed open to sponsored candidates, so you're applying where your visa situation won't disqualify you late in the process.
Frequently Asked Questions
Does NVIDIA sponsor H-1B visas for Systems Engineers?
Yes. NVIDIA sponsors H-1B visas for Systems Engineer roles and has done so consistently across its hardware, networking, and data center infrastructure teams. The process follows the standard H-1B cap lottery cycle unless you qualify for a cap-exempt pathway. NVIDIA's legal and HR teams handle the I-129 filing, but confirming sponsorship availability upfront with your recruiter is essential since not every open role is approved for sponsorship.
How do I apply for Systems Engineer jobs at NVIDIA?
Apply directly through NVIDIA's careers portal, where Systems Engineer roles are listed by business unit, including data center, networking, and embedded systems teams. Tailor your application to the specific technical requirements in the job description rather than submitting a generic resume. If you need visa sponsorship, confirm that with the recruiter at the first screening call before progressing through NVIDIA's multi-stage technical interview process.
Which visa types does NVIDIA use to sponsor Systems Engineers?
NVIDIA sponsors Systems Engineers on H-1B visas, E-3 visas for Australian citizens, and employment-based Green Cards through the EB-2 and EB-3 categories. The right pathway depends on your nationality, your current immigration status, and how long you've been in the U.S. NVIDIA's immigration counsel typically advises on which petition type fits your situation after you receive an offer.
What qualifications does NVIDIA expect for sponsored Systems Engineer roles?
Most Systems Engineer roles at NVIDIA require a bachelor's degree or higher in electrical engineering, computer engineering, or computer science, with hands-on experience in areas like GPU systems, high-speed interconnects, or data center infrastructure. This matters beyond just hiring: USCIS requires the role to qualify as a specialty occupation for H-1B purposes, so NVIDIA's job descriptions are typically written to reflect that degree-specific requirement clearly.
How do I find Systems Engineer roles at NVIDIA that are open to visa sponsorship?
Not every Systems Engineer posting at NVIDIA explicitly flags visa sponsorship eligibility, which makes filtering time-consuming. Migrate Mate aggregates Systems Engineer openings at NVIDIA and surfaces roles where sponsorship has been confirmed, so you can focus your applications where your immigration status won't be a barrier. This is particularly useful if you're on OPT or in a grace period where timing is critical.