Enterprise Platform Technical Marketing Engineer Intern

What you'll do

• Build end-to-end AI and agentic AI workflows on NVIDIA platforms including hardware bring-up and troubleshooting.
• Create technical marketing assets such as product demonstrations, videos, playbooks, and one-pagers.
• Translate enterprise platform capabilities into real-world use cases for Manufacturing, AECO, and Media & Entertainment.
• Define and test demos with OEM partners and internal teams to organize a shared demo library.
• Own and execute a "hero demo" project showcasing an end-to-end GPU-accelerated workflow.
• Present technical workflows and product demonstrations to engineering audiences and at public events.

What we're looking for

• 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.
• Experience with large language models, RAG pipelines, or agentic AI frameworks such as LangChain, LlamaIndex, or NVIDIA NIM (preferred).
• Familiarity with CUDA, GPU acceleration concepts, or NVIDIA SDKs such as TensorRT, RAPIDS, or Omniverse (preferred).
• Working knowledge of containers (Docker, Conda, WSL), Git, C/C++, shell scripting, and hardware troubleshooting (preferred).