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 @ 3
Communication @ 6
- 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 working to make space-based, data-center-class compute competitive and accessible. This internship supports product management development and strategy for space-based compute platforms, including onboard satellite processing, AI inference in orbit, Earth-observation data processing, and government or commercial compute infrastructure.
The intern will research customer use cases, assess competitors and potential partners, build market-sizing and business-case models, and develop recommendations on product priorities, partnerships, and go-to-market strategy. The role involves working with product, engineering, finance, and business development teams to translate technical and market inputs into clear, actionable product decisions.
Responsibilities
- Research market demand and customer use cases for space-based compute, including onboard satellite processing, AI inference in orbit, and Earth-observation data processing.
- Assess competitors and potential partners across aerospace, cloud infrastructure, and government and commercial compute markets.
- Build market-sizing models and arguments that quantify the opportunity.
- Develop recommendations on product priorities, partnerships, and go-to-market strategy.
- Partner with product, engineering, finance, and business development teams to turn technical and market inputs into clear decisions.
Requirements
- Pursuing an MBA, with graduation expected in spring or summer 2028.
- Coursework or project experience in financial modeling and market sizing.
- Experience researching a market or competitive landscape and turning findings into a written recommendation.
- Experience presenting analysis to decision-makers.
- Strong analytical, electronics engineering or systems engineering, and communication skills.
Preferred Qualifications
- Interest in aerospace, satellites, or space infrastructure.
- Experience in cloud infrastructure, AI, semiconductors, or telecommunications.
- Familiarity with government or commercial compute infrastructure programs.
- Ability to translate technical details into clear business recommendations for non-technical audiences.
Benefits
- Intern benefits are provided.
- NVIDIA is committed to fostering an inclusive work environment and is an equal opportunity employer.
Applications will be accepted at least until November 13, 2026. NVIDIA uses AI tools in its recruiting processes.