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 @ 5
GPU
Mathematics @ 3
- 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's Local AI and Data Center Product Management team defines and markets AI systems for enterprises and cloud service providers, supporting AI applications ranging from autonomous vehicles and healthcare to virtual reality and visual computing.
Responsibilities
- Research emerging markets and use cases for GPU deployments in specific industry verticals.
- Analyze market segmentation, sizing, solution stacks, key players, and ecosystems.
- Evaluate the system configurations customers deploy.
- Build market and solution pricing and value analyses.
Requirements
- Pursuing an MBA in a relevant field or equivalent program, graduating in winter or summer 2028.
- Coursework or project experience in market research, market sizing, or segmentation.
- Working knowledge of technology, such as a mathematics, science, or engineering background.
- Experience building quantitative models or pricing analyses.
Preferred Qualifications
- Interest in exciting products and emerging technology markets.
- Experience using mathematics or computer programs to solve complex market modeling problems.
- Coursework in pricing strategy and analysis.
- Experience building a PC or server and understanding its components.
- Comfortable working with large data sets and proficient with AI and agents.
Benefits
Interns are eligible for NVIDIA intern benefits.
NVIDIA is committed to fostering an inclusive work environment and is an equal opportunity employer. NVIDIA uses AI tools in its recruiting processes. Applications will be accepted at least until September 19, 2026.
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