AI-Driven Product Manager Intern - Gaming & GPU

NVIDIA Corporation; Santa Clara (CA); On-site; USD 52,000 - 129,000; Part time

Benefits offered by this job

Intern benefits

Job summary

NVIDIA Corporation is seeking a Product Manager intern for the GeForce/Spark team in Santa Clara, CA. The role focuses on bringing GPU-accelerated AI tech to popular applications and games, working with a team of PMs to shape roadmaps and go-to-market strategies.

Ideal candidates are MBA students graduating winter 2027 or summer 2028, with a background in PC hardware, graphics, or AI, and hands-on experience with AI assistants to accelerate daily tasks.

Qualifications

• MBA in product management or equivalent (graduating winter 2027 or summer 2028)
• Experience managing multiple projects to deadline
• Experience producing customer-facing materials such as product positioning, presentations, or sales collateral
• Working knowledge of PC hardware, graphics, or AI technologies
• Hands-on experience with AI assistants and agentic workflows to accelerate day-to-day work

Responsibilities

• Conduct market research and competitive analysis to understand use cases and workflows.
• Drive hardware and software product requirements and roadmap priorities for next-generation graphics cards, laptops, and software products.
• Develop product strategy, go-to-market plans, and subject matter expertise on GeForce product use cases.
• Create product positioning, presentations, and sales tools.
• Build partnerships, tools, and programs that support the gaming, creator, and PC application developer ecosystem.

Skills

Project management

Product strategy

Go-to-market planning

Customer-facing materials

AI/PC hardware knowledge

Data analysis

Education

MBA in product management (or equivalent)

Tools

Python

AI tools

Job description

NVIDIA Corporation is seeking a Product Manager intern for the GeForce/Spark team in Santa Clara, CA. The role focuses on bringing GPU-accelerated AI tech to popular applications and games, working with a team of PMs to shape roadmaps and go-to-market strategies.

Ideal candidates are MBA students graduating winter 2027 or summer 2028, with a background in PC hardware, graphics, or AI, and hands-on experience with AI assistants to accelerate daily tasks.