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!
What you'll be doing:
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.
What we need to see:
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.
Ways to stand out from the crowd:
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.
You will also be eligible for equity and benefits.
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.Skills Required
- Bachelor's degree in Engineering, Computer Science, or similar field or equivalent experience
- 12+ years of hands-on software development experience
- Advanced knowledge of Python
- Competence building front-end applications using TypeScript/JavaScript
- Over 3 years authoring cookbooks, Jupyter notebooks, technical documentation, and contributing to open-source
- Over 3 years product management experience delivering AI software as on-prem or cloud service
- Demonstrated experience shipping LLM-backed features: prompting, tool/function calling, structured outputs, retrieval, agent loops, and evaluation
- Proficiency with coding, visualization, project tracking, and frontend tools (examples listed: Python, C++, Tableau, JIRA, JavaScript, React)
- Strong technical writing skills to simplify complex technical concepts
- Experience drafting SRDs or PRDs and strong AI product insight
- Solid grasp of the AI development lifecycle
- Self-directed, data-driven decision making and creative problem-solving
- Public artifacts (notebooks, open-source contributions, blog posts, talks)
- Experience in developer relations, developer experience, solutions engineering, or forward-deployed engineering
- Hands-on experience with fine-tuning, distillation, or serving/inference optimization
- Experience speaking publicly at workshops, conferences, or livestreams
NVIDIA Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NVIDIA and has not been reviewed or approved by NVIDIA.
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Equity Value & Accessibility — Equity awards and a discounted ESPP are highlighted as core parts of total compensation, enabling employees to share in the company’s success. Stock-based compensation and the two-year lookback ESPP are consistently described as especially valuable.
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Healthcare Strength — Health coverage is portrayed as robust, with comprehensive medical, dental, and vision options alongside mental health support and on-site care resources. Employer HSA contributions and wellness perks reinforce the depth of the offering.
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Retirement Support — Retirement programs are depicted as strong, featuring a meaningful 401(k) match with Roth options and support for Mega Backdoor Roth contributions. These elements position long-term savings as a notable advantage of the total rewards package.
NVIDIA Insights
What We Do
NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”
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