Technical Product Marketing MBA Intern, AI Infrastructure

Nvidia

Confirmed live yesterday High trust

Quick summary

Work type: On-site
Location: Santa Clara, CA
Employment: Full-time
Posted: 4 days ago
Freshness: Confirmed live yesterday
Nearby: 99+ roles within 25 mi

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Similar $173k

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About Nvidia

Nvidia is a leading designer of graphics processing units (GPUs) and system-on-chip units, powering gaming, professional visualization, data centers, and artificial intelligence workloads. Industry: Semiconductors & AI Computing

Nvidia currently has 1814 open roles on FindRole.

Listed pay typically runs $184,000–$287,500 across 1204 roles with salary data.

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TL;DR · Technical Product Marketing MBA Intern, AI Infrastructure

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JOB TITLE: Technical Product Marketing MBA Intern, AI Infrastructure - Summer 2027 The Technical Product Marketing MBA Intern, AI Infrastructure - Summer 2027 joins the AI Infrastructure product marketing team to bridge the gap between accelerated computing technologies and customer business value. This role involves researching customer needs, market trends, and competitive offerings across AI training, inference, and accelerated computing. You will develop messaging and positioning that connect technical capabilities to priorities like performance, energy efficiency, and total cost of ownership. Daily tasks include building marketing content such as customer stories, solution briefs, and sales enablement materials while interpreting performance data to create evidence-based value propositions. Required skills include knowledge of AI, cloud or data center computing, and experience producing customer-facing content. You must be able to analyze data to support recommendations and utilize AI assistants and agentic workflows.

Skills

AI Data Center Computing Accelerated Computing Generative AI AI Training Inference AI Agents Agentic Workflows Product Marketing Technical Consulting

What you'll do

Research customer needs, market trends, and competitive offerings across AI infrastructure and accelerated computing.
Develop messaging and positioning that connect technical capabilities to customer priorities like performance and cost of ownership.
Create marketing content including customer stories, presentations, solution briefs, and sales enablement materials.
Interpret performance data with technical teams to create evidence-based value propositions for business audiences.
Translate accelerated computing technologies into clear messaging and compelling content for customers.
Deliver an internship project with clear objectives and present recommendations to product, engineering, and sales teams.

What we're looking for

Pursuing an MBA or a related field, or possessing equivalent experience, with an expected graduation in winter 2027 or summer 2028.
BS or MS in engineering, computer science, or a related technical field, or equivalent experience.
Working knowledge of AI and cloud or data center computing, including AI training and inference.
Experience producing customer-facing content such as product collateral, web copy, or briefs.
Experience analyzing data to support recommendations.
Hands-on experience with AI assistants and agentic workflows to accelerate day-to-day work.
Background in product marketing, product management, engineering, technical consulting, or enterprise technology (preferred).
Experience with generative AI, AI agents, inference, accelerated computing, or cloud infrastructure (preferred).

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