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Technical Marketing Intern Summer 2027

NVIDIASanta Clara, CAPosted 1 hour ago

Pay
$42k – $148k
per year
Type
Internship
Summer 2027
Where
Santa Clara, CA
Who
Bachelor's or Master's
Students
Apply by
Oct 17, 2026
Date from the posting

About the job

NVIDIA has spent more than 25 years transforming computer graphics, PC gaming, and accelerated computing. Today, the company is applying the potential of AI to define the next era of computing, one in which its GPUs act as the brains of computers, robots, and self-driving cars that can understand the world. Doing what has never been done before takes vision, innovation, and the world's best talent. As an NVIDIAN, you will work in a diverse, supportive environment where everyone is encouraged to do their best work.

About the Role

As an Enterprise Platform TME intern, you will help accelerate adoption of NVIDIA Enterprise solutions by building the workflows, demos, and technical content that show partners and customers what GPU-accelerated platforms can do. You will build AI and agentic AI workflows from end to end, then explain them clearly to engineering audiences and at public events. You will also create the technical marketing assets that bring them to life, including product and technology demonstrations, videos, playbooks, and targeted content.

A central part of the role is translating Enterprise Platform capabilities into real-world use cases across Manufacturing, AECO, and Media & Entertainment. You will work closely with key OEM partners and internal teams to define demos that showcase GPU-enabled enterprise platforms, produce the supporting technical collateral, and enable customers to develop AI locally on systems they already trust.

You will own a summer project: a "hero demo" showing an end-to-end GPU-accelerated workflow. You will pitch the demo concept yourself and drive the idea from the start. If the hero demo is completed early and to a high standard, a follow-on project may be assigned.

What You Will Be Doing

  • Building AI and agentic AI workflows end to end on NVIDIA platforms, including hardware bring-up and troubleshooting
  • Creating technical marketing assets such as product demonstrations, videos, playbooks, and one-pagers
  • Translating enterprise platform capabilities into real-world use cases across manufacturing, architecture and construction, and media and entertainment
  • Defining and testing demos alongside original equipment manufacturer (OEM) partners and internal teams, and organizing a shared demo library
  • Owning a summer "hero demo" project: an end-to-end GPU-accelerated workflow that you pitch and then build

What We Need to See

  • Pursuing a BS or MS in Computer Science, Computer Engineering, or a related technical field (graduating December 2027 or later)
  • Programming experience in Python
  • Working knowledge of Linux and Windows, including command-line tools and system configuration
  • Hands-on experience with an AI or machine learning framework such as PyTorch, TensorFlow, or Hugging Face
  • Experience documenting a technical workflow and presenting it to a technical audience

Ways to Stand Out

  • Experience with large language models, retrieval-augmented generation (RAG) pipelines, or agentic AI frameworks such as LangChain, LlamaIndex, or NVIDIA NIM
  • Familiarity with CUDA, GPU acceleration concepts, or NVIDIA developer SDKs such as TensorRT, RAPIDS, or Omniverse
  • Working knowledge of containers and environment management (Docker, Conda, WSL), Git, and C/C++ or shell scripting
  • Hands-on PC or workstation hardware experience, including component installation, system bring-up, driver troubleshooting, and benchmarking
  • Projects you can demo, such as a GitHub portfolio, hackathon builds, research prototypes, technical blogs, or demo videos

NVIDIA is widely regarded as one of the most desirable employers in the technology world, with some of the most forward-thinking and hardworking people anywhere. If you are creative and autonomous, we want to hear from you.

NVIDIA is committed to fostering an inclusive work environment and is an equal opportunity employer. The company values diversity among its current and future employees and does not discriminate in hiring or promotion on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status, or any other characteristic protected by law.

Skills mentioned

  • Python
  • PyTorch
  • TensorFlow
  • Linux
  • Docker
  • CUDA

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