Enterprise Platform Technical Marketing Engineer Intern - Summer 2027
Core
Build end-to-end AI and agentic AI workflows on NVIDIA platforms to create technical marketing assets, demos, and playbooks for enterprise customers.
Role type
Technical Marketing Engineer Intern
Builds
GPU-accelerated workflows, product demonstrations, videos, playbooks, and technical collateral for Manufacturing, AECO, and Media & Entertainment.
Domain
Enterprise AI / GPU Computing
Deliverable
production ML models
Required skills
Python programming, Linux/Windows command-line tooling, AI/ML frameworks (PyTorch, TensorFlow, Hugging Face), technical documentation, system configuration
Preferred skills
Large language models, RAG pipelines, agentic AI frameworks (LangChain, LlamaIndex, NVIDIA NIM), CUDA, GPU acceleration concepts, NVIDIA SDKs (TensorRT, RAPIDS, Omniverse), containers (Docker, Conda, WSL), C/C++, shell scripting, PC/workstation hardware bring-up and troubleshooting
Technologies
NVIDIA platforms, PyTorch, TensorFlow, Hugging Face, LangChain, LlamaIndex, NVIDIA NIM, CUDA, TensorRT, RAPIDS, Omniverse, Docker, Conda, WSL, Git, C/C++
Responsibilities
Build AI and agentic AI workflows end to end 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; Define and test demos alongside OEM partners; Own a summer 'hero demo' project pitching and building an end-to-end GPU-accelerated workflow
Seniority
Intern
