Enterprise Platform Technical Marketing Engineer Intern - Summer 2027

Responsibilities

• 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

Requirements

• 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

Preferred

• 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

Benefits

• You will also be eligible for Intern   benefits . ​