Technical Product Management Intern, Enterprise Products - Summer 2026

Details

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.

Responsibilities

• 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.

Requirements

• 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

• 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 (automation, AI-driven insights, etc.).
• Portfolio with projects that leverage Gen AI to solve real world problems.
• Relevant contributions to OSS projects.

Compensation & Benefits

• Internship hourly rate: 20 USD - 71 USD.
• NVIDIA offers highly competitive salaries and a comprehensive benefits package. Intern benefits information: https://www.nvidia.com/en-us/benefits/interns/

Additional details

• Location: Santa Clara, California, United States (US, CA, Santa Clara).
• Application deadline: applications accepted at least until December 16, 2025.
• Time type: Full time internship.
• NVIDIA is an equal opportunity employer committed to fostering a diverse work environment.