Product Management Intern
Posted on 11/26/2025

NVIDIA
Compensation Overview
$20 - $71/hr
Santa Clara, CA, USA
In Person
NVIDIA is the defining technology company of the Artificial Intelligence era. Our legacy of innovation is powered by extraordinary technology—and extraordinary people. Achieving what has never been done before demands vision, innovation, and the world’s best talent! We are seeking a deeply technical Product Management Intern to shape the enterprise software stack for next-generation AI factories, built on NVIDIA’s industry-leading GPUs and purpose-designed CPUs. This includes bare-metal orchestration, Kubernetes-native services, and full-stack AI platform capabilities to power the enterprise AI factory.
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.
Conduct competitive and market analysis across AI infrastructure software ecosystems.
Build presentations and documentation to bolster product launches and other initiatives.
Collaborate with engineering teams to ensure our products are tailored to customer needs.
Be an integral part of product launches, including support and deliverables and testing and evaluating the performance of products.
Supervise customer feedback and product performance metrics.
Develop and update the product roadmap and relevant documentation.
What we need to see:
Currently pursuing a Bachelor’s or Master’s degree in Computer Science, Data Science, Information Science, Electrical Engineering, or a similar field.
Familiarity with concepts of Machine Learning, data science or AI frameworks (e.g. TensorFlow/Keras, PyTorch, Pandas), and ML tools.
Hands-on experience with Git, including basic command-line skills.
Strong interpersonal skills and the ability to work optimally in a collaborative environment
Experience conducting structured research, such as competitive analysis, market research, or user-needs discovery in a class, club, or project context
Completed at least one technical project (class, hackathon, or personal) involving AI, ML, data science, distributed systems, or backend infrastructure
Ways to stand out from the crowd:
Experience building AI models or workflows in a technical setting or product management
Experience in leveraging 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.
Engineering and design background and prior internship experience with the ability to do hands on prototyping, create product design mock-ups, and ability to vibe code
Demonstrated ability to drive product strategy and make balanced trade-off decisions across desirability, viability, and technical feasibility
You will also be eligible for Internbenefits.
Applications for this job will be accepted at least until November 29, 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.Internships by Season
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