AI Data Engineer Jobs at NVIDIA with Visa Sponsorship
AI Data Engineer jobs at NVIDIA sit at the intersection of large-scale data infrastructure and applied machine learning, supporting teams building some of the most compute-intensive systems in the industry. NVIDIA has a consistent track record of sponsoring work visas for this function, covering H-1B visa, E-3 visa, and permanent residence pathways.
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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.
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Get Access To All JobsTips for Finding AI Data Engineer Jobs at NVIDIA
Align your portfolio with NVIDIA's data stack
NVIDIA's AI Data Engineer roles consistently prioritize hands-on experience with GPU-accelerated data pipelines, RAPIDS, and large-scale feature engineering. Build and document projects using these tools before applying so your work speaks directly to their technical bar.
Target teams that file E-3 petitions directly
NVIDIA processes E-3 petitions in-house rather than routing through a staffing firm, which matters for Australians. Your offer letter and Labor Condition Application come from NVIDIA itself, giving you a cleaner record for future renewals and green card sponsorship.
Flag your visa type early in recruiter conversations
NVIDIA recruiters handle high application volumes for AI Data Engineer roles. Disclosing your H-1B or E-3 requirement before the technical screen lets the recruiting coordinator loop in immigration counsel early and avoids delays after an offer is extended.
Understand how NVIDIA structures PERM for this role
EB-2 and EB-3 PERM filings for AI Data Engineers at NVIDIA typically require demonstrating that the role demands a specific technical degree, not just any bachelor's. Review how DOL defines minimum requirements for your job title before your offer negotiation.
Use Migrate Mate to surface open AI Data Engineer roles at NVIDIA
Roles at NVIDIA that carry active visa sponsorship don't always stay open long. Browse AI Data Engineer listings at NVIDIA on Migrate Mate, which filters specifically for sponsored positions so you're not wasting applications on roles that won't support your visa category.
Prepare your credential documentation before the offer stage
NVIDIA's immigration team will need certified transcripts and, for candidates with three-year degrees, a credential evaluation confirming U.S. equivalency. Commission that evaluation through a NACES-member service before you receive an offer so you're not holding up the I-129 filing.
Frequently Asked Questions
Does NVIDIA sponsor H-1B visas for AI Data Engineers?
Yes, NVIDIA sponsors H-1B visas for AI Data Engineer roles. NVIDIA participates in the annual H-1B cap lottery each spring, and candidates with a qualifying offer can be registered. If you're already in H-1B status with another employer, NVIDIA can also file an H-1B transfer, letting you start without waiting for a new cap cycle.
Which visa types does NVIDIA commonly use for AI Data Engineer roles?
NVIDIA sponsors H-1B and E-3 visas for AI Data Engineers at the nonimmigrant level, with E-3 available exclusively to Australian citizens. For permanent residence, NVIDIA files EB-2 and EB-3 petitions through the PERM labor certification process. The pathway offered generally depends on your nationality, current status, and how long you've been with the company.
What qualifications does NVIDIA expect for AI Data Engineer roles?
NVIDIA's AI Data Engineer roles typically require a bachelor's or master's degree in computer science, electrical engineering, or a closely related technical field. Practical experience with distributed data systems, ML pipelines, and GPU computing frameworks matters as much as credentials. Candidates who can demonstrate production-scale work, rather than academic projects only, tend to advance further in the technical interview process.
How do I apply for AI Data Engineer jobs at NVIDIA?
You can browse open AI Data Engineer positions at NVIDIA through Migrate Mate, which surfaces roles that include visa sponsorship. Once you identify a role, apply directly through NVIDIA's careers portal. Tailor your resume to reflect the specific data infrastructure and ML tooling called out in the job description, and be prepared for multiple technical rounds assessing systems design and applied machine learning.
How do I understand the timeline from offer to work authorization at NVIDIA?
For H-1B transfers or cap-exempt filings, USCIS standard processing runs three to six months, though NVIDIA commonly uses premium processing to compress that to 15 business days. E-3 applicants pursuing consular processing in Australia can often complete the visa interview within a few weeks of the Labor Condition Application being certified by DOL. Starting the immigration process immediately after signing your offer avoids unnecessary gaps in authorization.