AI Product Engineer Jobs at NVIDIA with Visa Sponsorship
AI Product Engineer jobs 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 visa and E-3 visa pathways.
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Get Access To All JobsINTRODUCTION
NVIDIA is seeking a dedicated Senior AI Product Engineer to join our ambitious AI for Media team in Santa Clara. As a core member of our AI division, you will lead innovation by turning advanced AI capabilities into real products. This role offers an outstanding chance to develop the future of AI while collaborating with highly skilled professionals. If you are passionate about advancing AI technology and have a proven history of delivering high-quality solutions, this role is ideal for you!
ROLE AND RESPONSIBILITIES:
- Build reference pipeline implementations that leverage AI for Media NIMs and SDKs, with robust error handling, controls, and observability.
- Create cookbooks and notebooks showcasing AI model capabilities across a range of use cases, and develop Python SDK bindings to improve functionality and accessibility.
- Assess and report on the AI4Media first-run experience, identify and resolve rough edges before customer impact, and use telemetry to understand developer engagement and refine strategies.
- Conduct benchmarking through standardized tests and leaderboard tracking to maintain competitive positioning.
- Support external developers by prioritizing GitHub issues, answering technical questions in community channels, and informing the product roadmap.
- Communicate AI software technical details to Product and help define product and software requirements documents (PRDs and SRDs).
- Participate in key lighthouse-partner engagements to ensure successful software integration.
- Lead engineering projects focused on benchmarking, data flywheels, and GitHub improvements.
BASIC QUALIFICATIONS:
- Bachelor’s degree in Engineering, Computer Science, or similar field or equivalent experience
- 12+ years of hands-on experience in software development, with advanced knowledge of Python and the competence to construct front-end applications employing TypeScript/JavaScript.
- Over 3 years of background in authoring cookbooks, Jupyter notebooks, technical documentation, and making contributions to open-source initiatives.
- Over 3 years in product management pertaining to the delivery of AI software as an on-prem or cloud service.
- Demonstrated experience in shipping LLM-backed features, including prompting, tool/function calling, structured outputs, retrieval, agent loops, and evaluation work.
- Proficiency in coding software, visualization tools, project tracking tools, and frontend software such as Python, C++, Tableau, JIRA, JavaScript, and React.
- Strong technical writing skills with the capability to simplify complex technical concepts into developer-friendly content.
- Solid AI product insight and background in drafting SRDs or PRDs.
- Solid grasp of the AI development lifecycle.
- Self-directed with a proven ability to make data-driven decisions and showcase creative problem-solving skills.
PREFERRED QUALIFICATIONS:
- Public artifacts showcasing your contributions to open-source projects, notebooks, blog posts, or talks.
- Experience in developer relations, developer experience, solutions engineering, or forward-deployed engineering.
- Hands-on experience with fine-tuning, distillation, or serving/inference optimization.
- Demonstrated experience speaking publicly at workshops, conferences, or livestreams.
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 200,000 USD - 322,000 USD. You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until August 16, 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 is seeking a dedicated Senior AI Product Engineer to join our ambitious AI for Media team in Santa Clara. As a core member of our AI division, you will lead innovation by turning advanced AI capabilities into real products. This role offers an outstanding chance to develop the future of AI while collaborating with highly skilled professionals. If you are passionate about advancing AI technology and have a proven history of delivering high-quality solutions, this role is ideal for you!
ROLE AND RESPONSIBILITIES:
- Build reference pipeline implementations that leverage AI for Media NIMs and SDKs, with robust error handling, controls, and observability.
- Create cookbooks and notebooks showcasing AI model capabilities across a range of use cases, and develop Python SDK bindings to improve functionality and accessibility.
- Assess and report on the AI4Media first-run experience, identify and resolve rough edges before customer impact, and use telemetry to understand developer engagement and refine strategies.
- Conduct benchmarking through standardized tests and leaderboard tracking to maintain competitive positioning.
- Support external developers by prioritizing GitHub issues, answering technical questions in community channels, and informing the product roadmap.
- Communicate AI software technical details to Product and help define product and software requirements documents (PRDs and SRDs).
- Participate in key lighthouse-partner engagements to ensure successful software integration.
- Lead engineering projects focused on benchmarking, data flywheels, and GitHub improvements.
BASIC QUALIFICATIONS:
- Bachelor’s degree in Engineering, Computer Science, or similar field or equivalent experience
- 12+ years of hands-on experience in software development, with advanced knowledge of Python and the competence to construct front-end applications employing TypeScript/JavaScript.
- Over 3 years of background in authoring cookbooks, Jupyter notebooks, technical documentation, and making contributions to open-source initiatives.
- Over 3 years in product management pertaining to the delivery of AI software as an on-prem or cloud service.
- Demonstrated experience in shipping LLM-backed features, including prompting, tool/function calling, structured outputs, retrieval, agent loops, and evaluation work.
- Proficiency in coding software, visualization tools, project tracking tools, and frontend software such as Python, C++, Tableau, JIRA, JavaScript, and React.
- Strong technical writing skills with the capability to simplify complex technical concepts into developer-friendly content.
- Solid AI product insight and background in drafting SRDs or PRDs.
- Solid grasp of the AI development lifecycle.
- Self-directed with a proven ability to make data-driven decisions and showcase creative problem-solving skills.
PREFERRED QUALIFICATIONS:
- Public artifacts showcasing your contributions to open-source projects, notebooks, blog posts, or talks.
- Experience in developer relations, developer experience, solutions engineering, or forward-deployed engineering.
- Hands-on experience with fine-tuning, distillation, or serving/inference optimization.
- Demonstrated experience speaking publicly at workshops, conferences, or livestreams.
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 200,000 USD - 322,000 USD. You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until August 16, 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 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 JobsTips for Finding AI Product Engineer Jobs at NVIDIA
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.
Time H-1B Applications Around NVIDIA's Hiring Cycles
NVIDIA ramps AI Product Engineer hiring in Q4 and Q1. If you're on OPT, coordinate your offer timing so USCIS receives your H-1B petition before the April 1 cap-subject filing window. Missing it means waiting 12 months for the next lottery cycle.
Frequently 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.