NVIDIA
Enterprise Platform Technical Marketing Engineer Intern - Summer 2027
US, CA, Santa Clara · Internship · Posted Oct 13, 2026
- Education
- Pursuing a BS or MS in Computer Science, Computer Engineering, or a related technical field; graduating December 2027 or later.
About the job
Build end-to-end AI and GPU-accelerated demos and workflows, then create technical marketing content and present them to customers, partners, and engineering audiences.
What you'll do
- Build and troubleshoot AI and agentic AI workflows on NVIDIA platforms, including hardware bring-up.
- Create demonstrations, videos, playbooks, and other technical marketing assets for enterprise use cases.
- Pitch and own a summer project showcasing an end-to-end GPU-accelerated workflow.
What they ask 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 tools and system configuration.
- Hands-on experience with an AI or machine learning framework, plus experience documenting workflows and presenting to technical audiences.
Nice to have
- Experience with LLMs, RAG pipelines, or agentic AI frameworks such as LangChain, LlamaIndex, or NVIDIA NIM.
- Familiarity with CUDA, GPU acceleration, NVIDIA SDKs, containers, Git, C/C++ or shell scripting, or PC/workstation hardware.
Pay
20 USD - 71 USD hourly rate; base pay
Tools
Python, Linux, Windows, PyTorch, TensorFlow, Hugging Face, CUDA, Docker
AI focus
Build and demonstrate end-to-end AI and agentic AI workflows on NVIDIA platforms, including enterprise use cases.
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