Software Engineering Intern, LLM NIM Engineering - Fall 2025

Details

Today, NVIDIA is tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, encouraging environment where everyone is inspired to do their best work. Come join the team and see how we can make a lasting impact on the world!

Beginning in 2024, NIMs (NVIDIA Inference Microservices) are NVIDIA's best-in-class mechanism for delivering fast, accurate, and scalable ML models to users. We take models that are optimized for NVIDIA hardware, embed them within a continuously-improving inference stack, and expose this as docker containers with a standardized API.

Responsibilities

• Build out the NVIDIA LLM software stack and pipeline that assembles NIMs for public users
• Learn how to optimize LLM models and ensure that they are fast and accurate, and improve the optimization tooling and technology
• Invent ways to use LLMs to improve the LLM software pipeline itself

Requirements

• Pursuing BS or MS in Computer Science, Computer Engineering, or equivalent program
• Experience with OSS ML inference stacks (e.g., Ollama, vllm, SGlang) and serialization formats (e.g., HuggingFace, GGUF)
• Strong Python coding skills
• Experience with containerization (e.g., developing and deploying applications with Docker)

Ways to Stand Out

• Coursework in AI/ML (LLMs, image generation, etc.)
• Experience with Docker and related containerization tech (e.g., Kubernetes)
• A passion for writing software (code on GitHub, writeups for class projects, etc.)

Benefits

• Internship hourly rates standard pay determined based on the position and location, year in school, degree, and experience
• Eligible for intern benefits detailed on NVIDIA's website

NVIDIA is widely considered to be one of the technology world’s most desirable employers with forward-thinking and hardworking people. Diversity and equal opportunity are highly valued and embraced.