AI Engineer Jobs at NVIDIA with Visa Sponsorship
AI Engineer jobs at NVIDIA span research, infrastructure, and applied teams, covering model development, training optimization, and deployment at scale. The company has a consistent track record of sponsoring work visas for this function, making it a realistic target for international candidates with the right technical background.
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Get Access To All JobsINTRODUCTION
NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.
Join NVIDIA's custom RAM design team, where we are pushing the boundaries of memory technology to power the next generation of AI and accelerated computing. Our team operates at the intersection of innovative circuit design and scalable CAD infrastructure, tackling some of the most complex memory design challenges in the industry. We are looking for dedicated Software Engineers to work on developing and deploying AI agents that leverage machine learning models to solve complex problems in VLSI design. The ideal candidate will have a strong background in computer science, electrical engineering, or related field, with experience in machine learning, deep learning, and software development. The successful candidate will work closely with our team of experts in VLSI design, machine learning, and software engineering to create and integrate machine learning-based solutions that enhance the efficiency, productivity, and quality of our VLSI design flows.
ROLE AND RESPONSIBILITIES
What you'll be doing:
- Play a key role in design, development, and deployment of AI applications using LLMs, internal and external Agentic frameworks, and other related technologies.
- Drive impact by designing and building the needed infrastructure to deploy LLM-powered solutions for engineering assistants and multi-turn, multi-modal dialogue systems.
- Develop agentic AI solutions that help solve complex VLSI engineering problems, fine tune & integrate them with CAD flow systems.
- Make a difference by using AI technologies to help solve complex problems in chip design more efficiently.
- Build and maintain design databases and dashboards that may use agentic and deterministic retrieval mechanisms to fetch pertinent engineering data expediting circuit design closure.
- Collaborate with circuit design, layout, technology, and 3rd party EDA vendor teams distributed across geographies and time zones.
BASIC QUALIFICATIONS
What we need to see:
- Master's or PhD degree in Electrical Engineering, Computer Science/Engineering or equivalent experience.
- 5+ years of proven industry experience in a related field.
- Proficiency in rapid prototyping using Python with strong foundational knowledge of data structures, algorithms, and software engineering principles.
- Experience with fine-tuning large language models, building advanced multi-agent systems, RAG pipelines and vector databases.
- Strong analytical, communication, and interpersonal skills, with a proven ability to thrive in dynamic, product-focused, and distributed teams.
- A proactive approach to problem-solving and a willingness to acquire new skills and knowledge as needed to achieve results.
PREFERRED QUALIFICATIONS
Ways to stand out from the crowd:
- Experience with Large Language Models (LLMs) and their applications in software and AI development.
- Proficiency in standard methodologies for software development, including version control, testing, and CI/CD.
- Deeply interested in learning disparate concepts and putting them together in innovative new ways.
- Prior experience with circuit design, HW design is a plus.
COMPENSATION
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 136,000 USD - 218,500 USD for Level 3, and 168,000 USD - 264,500 USD for Level 4. You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until June 6, 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 been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.
Join NVIDIA's custom RAM design team, where we are pushing the boundaries of memory technology to power the next generation of AI and accelerated computing. Our team operates at the intersection of innovative circuit design and scalable CAD infrastructure, tackling some of the most complex memory design challenges in the industry. We are looking for dedicated Software Engineers to work on developing and deploying AI agents that leverage machine learning models to solve complex problems in VLSI design. The ideal candidate will have a strong background in computer science, electrical engineering, or related field, with experience in machine learning, deep learning, and software development. The successful candidate will work closely with our team of experts in VLSI design, machine learning, and software engineering to create and integrate machine learning-based solutions that enhance the efficiency, productivity, and quality of our VLSI design flows.
ROLE AND RESPONSIBILITIES
What you'll be doing:
- Play a key role in design, development, and deployment of AI applications using LLMs, internal and external Agentic frameworks, and other related technologies.
- Drive impact by designing and building the needed infrastructure to deploy LLM-powered solutions for engineering assistants and multi-turn, multi-modal dialogue systems.
- Develop agentic AI solutions that help solve complex VLSI engineering problems, fine tune & integrate them with CAD flow systems.
- Make a difference by using AI technologies to help solve complex problems in chip design more efficiently.
- Build and maintain design databases and dashboards that may use agentic and deterministic retrieval mechanisms to fetch pertinent engineering data expediting circuit design closure.
- Collaborate with circuit design, layout, technology, and 3rd party EDA vendor teams distributed across geographies and time zones.
BASIC QUALIFICATIONS
What we need to see:
- Master's or PhD degree in Electrical Engineering, Computer Science/Engineering or equivalent experience.
- 5+ years of proven industry experience in a related field.
- Proficiency in rapid prototyping using Python with strong foundational knowledge of data structures, algorithms, and software engineering principles.
- Experience with fine-tuning large language models, building advanced multi-agent systems, RAG pipelines and vector databases.
- Strong analytical, communication, and interpersonal skills, with a proven ability to thrive in dynamic, product-focused, and distributed teams.
- A proactive approach to problem-solving and a willingness to acquire new skills and knowledge as needed to achieve results.
PREFERRED QUALIFICATIONS
Ways to stand out from the crowd:
- Experience with Large Language Models (LLMs) and their applications in software and AI development.
- Proficiency in standard methodologies for software development, including version control, testing, and CI/CD.
- Deeply interested in learning disparate concepts and putting them together in innovative new ways.
- Prior experience with circuit design, HW design is a plus.
COMPENSATION
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 136,000 USD - 218,500 USD for Level 3, and 168,000 USD - 264,500 USD for Level 4. You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until June 6, 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 AI Engineer Jobs at NVIDIA
Sign up for free to unlock all listings, filter by visa type, and get alerts for new AI Engineer Jobs at NVIDIA.
Get Access To All JobsTips for Finding AI Engineer Jobs at NVIDIA
Align your portfolio to NVIDIA's AI stack
NVIDIA's AI Engineer roles emphasize CUDA, TensorRT, and large-scale model training on GPU clusters. Build and document projects that use these tools directly. A portfolio showing hands-on NVIDIA infrastructure work signals fit before your resume does.
Target roles that clear the specialty occupation bar
For H-1B eligibility, your role needs to require a specific bachelor's degree field. AI Engineer positions tied to machine learning research or inference optimization have a cleaner specialty occupation case than generalist software roles. Review the job description language before applying.
Get your credentials evaluated before NVIDIA's offer stage
NVIDIA's recruiting moves fast. If your degree is from a non-U.S. institution, have a NACES-accredited evaluator assess its equivalency to a U.S. bachelor's in computer science or a related field before you receive an offer, not after.
Ask about E-3 eligibility if you hold Australian citizenship
Australian citizens can use the E-3 visa for specialty occupation roles at NVIDIA. It has no lottery and allows two-year renewable terms. If your recruiter defaults to H-1B, flag your citizenship and ask whether the E-3 path is available for your role.
Use Migrate Mate to find open AI Engineer roles at NVIDIA
Identifying which of NVIDIA's current AI Engineer postings are open to sponsored candidates saves time during a time-sensitive search. Migrate Mate filters NVIDIA roles specifically by visa type so you can focus your applications on positions where sponsorship is confirmed.
Confirm LCA filing timing with your NVIDIA HR contact
NVIDIA's HR team files your Labor Condition Application with the DOL before USCIS receives the H-1B petition. If your start date is firm, verify that the LCA was submitted and certified at least a week before your I-129 is filed to avoid processing gaps.
Frequently Asked Questions
Does NVIDIA sponsor H-1B visas for AI Engineers?
Yes. NVIDIA sponsors H-1B visas for AI Engineer roles, and the company has a consistent pattern of doing so across research, applied, and infrastructure teams. Because H-1B is subject to an annual cap and lottery, timing matters. NVIDIA typically initiates sponsorship discussions during or after the offer stage, and your start date will depend on lottery selection and USCIS processing timelines.
How do I apply for AI Engineer jobs at NVIDIA?
Applications go through NVIDIA's careers portal at nvidia.com/en-us/about-nvidia/careers. Search by role title and filter for AI or machine learning positions. If you want to narrow results to roles with confirmed visa sponsorship, Migrate Mate aggregates NVIDIA's open AI Engineer positions by visa type, which saves time if you're on a deadline like OPT expiration or a 60-day grace period.
Which visa types does NVIDIA commonly use for AI Engineer roles?
NVIDIA sponsors H-1B and E-3 visas for nonimmigrant work authorization, and supports EB-2 and EB-3 Green Card pathways for longer-term permanent residence. E-3 visa is available exclusively to Australian citizens and skips the H-1B lottery entirely. The right visa depends on your nationality, your degree, and whether the role meets specialty occupation requirements under USCIS guidelines.
What qualifications does NVIDIA expect for AI Engineer roles?
Most AI Engineer postings at NVIDIA specify a bachelor's or master's degree in computer science, electrical engineering, or a closely related field. Hands-on experience with GPU-accelerated computing, deep learning frameworks like PyTorch, and model optimization tools such as TensorRT is expected. Research-oriented roles often require a publication record or demonstrated experience with large-scale model training at the infrastructure level.
How do I time my application if my work authorization is expiring soon?
If you're on OPT or in a 60-day grace period, apply early and flag your authorization timeline to your NVIDIA recruiter at the point of offer. H-1B cap filings open in March for October 1 starts, so if you miss that window, NVIDIA may be able to use cap-exempt options or bridge your status depending on your circumstances. E-3 applicants have more flexibility since there's no lottery and consular appointments can move faster.