AI Product Engineer Jobs at NVIDIA with Visa Sponsorship
AI Product Engineer roles at NVIDIA sit at the intersection of applied research and product development, requiring deep technical fluency in AI systems and the ability to ship at scale. NVIDIA has a consistent track record of sponsoring work visas for engineers in this function, including H-1B and E-3 pathways.
See All AI Product Engineer at NVIDIA JobsOverview
Showing 5 of 40+ AI Product Engineer Jobs at NVIDIA jobs


Have you applied for this role?


Have you applied for this role?


Have you applied for this role?


Have you applied for this role?


Have you applied for this role?
See all 40+ AI Product Engineer Jobs at NVIDIA
Sign up for free to unlock all listings, filter by visa type, and get alerts for new AI Product Engineer Jobs at NVIDIA.
Get Access To All Jobs
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.
We are looking for inquisitive and driven full-time software engineers with a strong interest in building high-quality, long-lasting systems. The VLSI Productivity and Infrastructure team supports hundreds of chip design engineers by building internal tools and platforms that supercharge their everyday work. From build automation to machine learning, databases to web applications, and on-prem compute to cloud workloads, this team handles it all.
ROLE AND RESPONSIBILITIES
What you'll be doing:
- Design and develop innovative AI-driven web products to solve big data challenges in chip design. Build high performance API's, data pipelines and backend services in a distributed systems environment.
- Own technical strategy for broad and complex challenges. Collaborate closely with product and engineering teams to translate high-level requirements into actionable deliverables. Handle multiple tasks and adapt to changing priorities.
- Be an engineering generalist. Discover and build skills needed at different times to solve the problems at hand.
BASIC QUALIFICATIONS
What we need to see:
- Bachelor’s degree in Computer Science, Engineering, or related field (or equivalent experience).
- 6+ years of professional experience in full-stack development.
- Strong fundamentals in data structures, algorithms and software design patterns.
- Experience building web apps with modern frameworks, tooling and design libraries (ReactJS preferred).
- Experience building scalable API’s and backend systems (NodeJS and/or Python preferred).
- Background with data storage solutions and query optimization approaches (e.g. MySQL, MongoDB, Elasticsearch, AWS S3, etc.).
PREFERRED QUALIFICATIONS
Ways to stand out from the crowd:
- A passion for well-written code, test-driven development and engineering best practices.
- Strong problem solving and interpersonal skills, self-motivated, and a team player.
- Strong ability to build functional and intuitive user experiences.
- A zeal to learn and perform beyond prior experience and expertise.
With competitive salaries and a generous benefits package, we are widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us and, due to unprecedented growth, our exclusive engineering teams are rapidly growing. If you're a creative and autonomous engineer with a real passion for technology, we want to hear from you.
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until April 4, 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.

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.
We are looking for inquisitive and driven full-time software engineers with a strong interest in building high-quality, long-lasting systems. The VLSI Productivity and Infrastructure team supports hundreds of chip design engineers by building internal tools and platforms that supercharge their everyday work. From build automation to machine learning, databases to web applications, and on-prem compute to cloud workloads, this team handles it all.
ROLE AND RESPONSIBILITIES
What you'll be doing:
- Design and develop innovative AI-driven web products to solve big data challenges in chip design. Build high performance API's, data pipelines and backend services in a distributed systems environment.
- Own technical strategy for broad and complex challenges. Collaborate closely with product and engineering teams to translate high-level requirements into actionable deliverables. Handle multiple tasks and adapt to changing priorities.
- Be an engineering generalist. Discover and build skills needed at different times to solve the problems at hand.
BASIC QUALIFICATIONS
What we need to see:
- Bachelor’s degree in Computer Science, Engineering, or related field (or equivalent experience).
- 6+ years of professional experience in full-stack development.
- Strong fundamentals in data structures, algorithms and software design patterns.
- Experience building web apps with modern frameworks, tooling and design libraries (ReactJS preferred).
- Experience building scalable API’s and backend systems (NodeJS and/or Python preferred).
- Background with data storage solutions and query optimization approaches (e.g. MySQL, MongoDB, Elasticsearch, AWS S3, etc.).
PREFERRED QUALIFICATIONS
Ways to stand out from the crowd:
- A passion for well-written code, test-driven development and engineering best practices.
- Strong problem solving and interpersonal skills, self-motivated, and a team player.
- Strong ability to build functional and intuitive user experiences.
- A zeal to learn and perform beyond prior experience and expertise.
With competitive salaries and a generous benefits package, we are widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us and, due to unprecedented growth, our exclusive engineering teams are rapidly growing. If you're a creative and autonomous engineer with a real passion for technology, we want to hear from you.
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until April 4, 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.
See all 40+ AI Product Engineer at NVIDIA jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new AI Product Engineer at NVIDIA roles.
Get Access To All JobsTips for Finding AI Product Engineer Jobs at NVIDIA Jobs
Frame Your Portfolio Around Deployed AI Systems
NVIDIA evaluates AI Product Engineers on shipped work, not research abstracts. Prepare a portfolio showing production-level AI systems you've built, with clear ownership over architecture decisions, model integration, and performance outcomes at scale.
Target NVIDIA's Platform and Developer Products Teams
NVIDIA's AI Product Engineer openings cluster around platforms like CUDA, TensorRT, and NIM. Aligning your application to these product lines signals product-domain fit, which hiring managers weigh heavily against general AI experience.
Verify E-3 Eligibility Before Accepting an Offer
If you're an Australian citizen, NVIDIA sponsors E-3 visas for this function. Confirm that your role will be classified as a specialty occupation before signing anything. Your degree field must directly align with the AI Product Engineer job description to satisfy DOL requirements.
Clarify Sponsorship Scope During Offer Negotiation
Ask NVIDIA's recruiter explicitly whether the offer includes both H-1B filing and Green Card sponsorship through EB-2 or EB-3 PERM. Large employers sometimes separate these commitments, and getting clarity upfront prevents delays after you've started.
Use Migrate Mate to Find Verified AI Product Engineer Openings at NVIDIA
Not every NVIDIA job listing signals genuine sponsorship availability. Use Migrate Mate to browse AI Product Engineer roles at NVIDIA that are verified for visa sponsorship, so you're applying where the pathway is confirmed rather than inferred.
AI Product Engineer at NVIDIA jobs are hiring across the US. Find yours.
Find AI Product Engineer at NVIDIA JobsFrequently Asked Questions
Does NVIDIA sponsor H-1B visas for AI Product Engineers?
Yes, NVIDIA sponsors H-1B visas for AI Product Engineer roles. NVIDIA has sponsored H-1B petitions for engineers in this function across multiple fiscal years, making it one of the more accessible paths for international candidates. Your role must qualify as a specialty occupation under USCIS standards, which for AI Product Engineers typically requires a bachelor's degree or higher in computer science, electrical engineering, or a closely related technical field.
How do I apply for AI Product Engineer jobs at NVIDIA?
Apply directly through NVIDIA's careers site or use Migrate Mate to browse verified AI Product Engineer openings with confirmed visa sponsorship. Tailor your resume to reflect production AI system experience, particularly with NVIDIA's product ecosystem. Expect a technical screen, a system design round focused on AI infrastructure, and a product-sense interview. Indicating visa sponsorship needs early in the recruiter screen avoids mismatched expectations later in the process.
Which visa types does NVIDIA commonly use for AI Product Engineers?
NVIDIA sponsors H-1B visas for most international AI Product Engineers and E-3 visas specifically for Australian citizens. For longer-term permanent residency, NVIDIA also sponsors EB-2 and EB-3 Green Cards through the PERM labor certification process. The right pathway depends on your nationality, degree field, and where you are in your career. Australian applicants should evaluate the E-3 first given its simpler process and no lottery requirement.
What qualifications does NVIDIA expect for AI Product Engineer roles?
NVIDIA's AI Product Engineer roles typically require a bachelor's or master's degree in computer science, machine learning, or a related engineering discipline, along with hands-on experience building and deploying AI models in production environments. Familiarity with NVIDIA's software stack, including CUDA, TensorRT, or Triton, is a strong differentiator. Candidates who can bridge the gap between model research and scalable product integration are prioritized over those with purely academic AI backgrounds.
How do I plan my visa timeline when joining NVIDIA as an AI Product Engineer?
If you're transitioning from OPT, your start date needs to align with USCIS H-1B cap filing, which opens April 1 for an October 1 start. NVIDIA's legal team handles the I-129 filing, but you're responsible for coordinating your OPT expiration and STEM OPT extension if needed. E-3 applicants have more flexibility since there's no lottery, but still need a certified Labor Condition Application from DOL before attending a consular interview.
See which AI Product Engineer at NVIDIA employers are hiring and sponsoring visas right now.
Search AI Product Engineer at NVIDIA Jobs