What you'll 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 tooling 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 from the crowd:

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 software development kits 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: a GitHub portfolio, hackathon builds, research prototypes, technical blogs, or demo videos

Enterprise Platform Technical Marketing Engineer Intern - Summer 2027