Product Management Space Compute MBA Intern
NVIDIA
This job at a glance
- Who can apply
- 25–27 years of experience · MBA / PGDM
- Must know
- Product managementSpringFinancial modeling
- Work
- On-site in Santa Clara · internship
- Pay
- Not stated by the employer.
- Skill demand
- Product management64%Spring1%Financial modeling1%of 99 similar entry-level jobs posted in the US this week
- Listed
- Nov 10, 2026 · still open
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About the Role
NVIDIA is on a mission to make space-based data center class compute competitive and accessible. Join us as an MBA Intern to support product management development and strategy for space-based compute platforms. This internship offers the opportunity to bring high-performance AI compute into orbit, delivering better real-time insights with reduced downlink costs and latency.
Key Responsibilities
- Researching market demand and customer use cases for space-based compute, including onboard satellite processing, AI inference in orbit, and Earth-observation data processing.
- Assessing competitors and potential partners across aerospace, cloud infrastructure, and government and commercial compute markets.
- Building market-sizing models and arguments that quantify the opportunity.
- Developing recommendations on product priorities, partnerships, and go-to-market strategy.
- Partnering with product, engineering, finance, and business development teams to turn technical and market inputs into clear decisions.
Requirements & Tech Stack
- Pursuing an MBA (graduating in spring/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.
Qualifications
- Pursuing an MBA at a leading institution.
- Strong analytical, electronics engineering or systems engineering, and communication skills.
- Experience in aerospace, datacenter, AI, or semiconductors is preferred.
- Interested in aerospace, satellites, or space infrastructure.
- Experience in cloud infrastructure, AI, semiconductors, or telecom.
- Familiarity with government or commercial compute infrastructure programs.
- Passionate about translating technical detail into clear business recommendations for non-technical audiences.