Tech Stack
Tag name is followed by "@" symbol and proficiency level value.
About proficiency levels:
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
AI @ 2
Agentic AI @ 2
Communication @ 3
Deep Learning @ 3
GenAI
Generative AI @ 3
LLM
Machine Learning @ 3
Product Management @ 3
RAG @ 2
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Details
NVIDIA is hiring a Product Management MBA Intern for NVIDIA IT to build the next generation of Agentic AI products and platforms. These products will support NVIDIA's internal AI adoption, improve productivity, and accelerate business outcomes.
Responsibilities
- Collaborate with internal partners to understand and prioritize product requirements.
- Translate needs into a clear product vision, roadmap, and actionable user stories.
- Tackle sophisticated technical problems with creative solutions while managing competing trade-offs.
- Conduct user research, analyze problems, and present actionable insights to senior leadership.
- Develop compelling, data-based arguments to convince others and generate progress with meaningful results.
- Bring user-centric perspectives to product discussions.
- Establish and articulate design strategy and the end-to-end product experience.
Requirements
- Currently pursuing an MBA with relevant experience and graduating in December 2027 or May/June 2028.
- Bachelor's or master's degree in Computer Science or a related engineering field.
- Experience shipping customer-facing or employee-facing products by working with engineers, designers, and data scientists, resulting in significant business impact.
- Hands-on product management and related expertise involving artificial intelligence, machine learning, generative AI, traditional deep learning, and statistical machine learning.
- Outstanding communication and problem-solving skills.
Preferred Qualifications
- Engineering and design background with the ability to perform hands-on prototyping, create product design mockups, and vibe code.
- Ability to thrive in a fast-paced environment, work through ambiguity and multiple priorities, and set clear, actionable goals.
- Outstanding organizational skills, attention to detail when writing product specifications, and excellent writing skills for publishing case studies and papers.
- Hands-on expertise and understanding of NVIDIA software strategy and products.
- Familiarity with large language models, Retrieval-Augmented Generation (RAG), and Agentic AI.
Benefits
Interns are eligible for NVIDIA intern benefits.
Applications will be accepted at least until October 23, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes and is committed to fostering an inclusive work environment and maintaining equal employment opportunity.
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