The landscape of GPU-accelerated AI, deep learning, and machine learning is rapidly evolving. As AI transitions from pioneering research to mainstream applications, every global enterprise is keen on leveraging it. From improving operational efficiencies to crafting exceptional user experiences, AI is truly making the world better. At NVIDIA, we’re at the forefront of this change. We're seeking a self-driven Technical Product Manager Intern to join our Enterprise Product Group. You’ll be working on groundbreaking NVIDIA technologies that cater to enterprises from edge computing to data centers and the cloud. Partner with brilliant minds in engineering, operations, and marketing to lead products through their entire life cycle.
At NVIDIA, you will be part of a diverse, collaborative environment where everyone is inspired to do their best work. Join us and see how you can make a lasting impact on the world. NVIDIA’s Enterprise Product Group is a small, dynamic, and highly motivated team behind DGX systems and DGX SuperPOD—the platforms that established NVIDIA as the gold standard in AI development and deployment. By delivering turnkey, integrated solutions, the team helped transform NVIDIA from a GPU hardware vendor into a full-stack AI and data-center company. We are looking for a proven product leader with a strong track record of delivering enterprise platforms and the expertise to drive continued adoption of these solutions across global enterprises.
What you’ll be doing:
Assist in various product management tasks, including market research, customer needs analysis, and idea generation for new products and features.
Default to action, identify product gaps and begin writing code to fix them using AI.
Develop novel use cases of existing products to show the art of the possible with NVIDIA Gen AI software libraries.
Conduct competitive and market analysis across AI infrastructure software ecosystems.
Update documentation based on user feedback, feature updates, etc.
Collaborate cross-functionally with design, product, and marketing to build great UX and landing surfaces.
Supervise customer feedback and product performance metrics.
Develop and update the product roadmap and relevant documentation.
Drive OSS contributions and cultivate community engagement with our open infrastructure libraries.
What we need to see:
Pursuing a Bachelor’s or Master’s degree in Computer Science, Data Science, Information Science, Electrical Engineering, or a similar field.
Hands-on experience with Git, including basic command-line skills.
Strong interpersonal skills and the ability to work optimally in a collaborative environment
Completed at least one technical project (class, hackathon, or personal) involving AI, ML, data science, distributed systems, or backend infrastructure
Familiarity with cloud environments (AWS, GCP, or Azure), including deploying or maintaining small services or apps.
Proficiency in AI assisted code tooling like Cursor, Windsurf, Claude Code, etc.
Ways to stand out from the crowd:
Genuine excitement towards the software you will be building.
Experience building AI models or workflows in a technical setting or product management
Experience in demonstrating or critically thinking about how to integrate AI into work processes, decision-making, or problem-solving. This may include using AI-powered tools, automating workflows, analyzing AI-driven insights, or exploring AI’s potential impact on the function or industry
Portfolio with projects that leverage Gen AI to solve real world problems
Relevant contributions to OSS projects
Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/
Our internship hourly rates are a standard pay based on the position, your location, year in school, degree, and experience. The hourly rate for our interns is 20 USD - 71 USD.You will also be eligible for Intern benefits.
Applications for this job will be accepted at least until December 16, 2025. 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.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.
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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.”
