Software Engineering Intern, GenAI - Fall 2025

NVIDIA's invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI - the next era of computing - with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, we are increasingly known as "the AI computing company." We're looking to grow our company and form teams with the more inquisitive people in the world. As generative AI continues to grow, LLM agents are being leveraged to handle increasingly complex tasks requiring planning, reasoning and memory. We're searching for outstanding interns to bring their development and data science expertise to help build our genAI suite of SDKs that enable the LLM agent ecosystem. What you'll be doing: Implementing new features of our genAI SDKs that enable LLM agents to expand to new, more demanding use cases and deployment configurations. Crafting proof-of-concept workflows rooted in first principles that apply modern data science techniques to genAI use cases. Assisting in hardening of existing workflows to incorporating tracing, metrics, and benchmarking. Working with data scientists and ML/DL engineers to move from proof-of-concept analysis and modeling to production-ready pipelines and deployments. What we need to see: Pursuing a BS, MS, or PhD in computer science, data science, computer engineering, or other closely related field Python development experience and Python data science experience Ability to quickly shift to innovative approaches, techniques, and implementations Deep desire to solve complex engineering challenges with efficiency as a priority Ability to work as part of a distributed engineering team

NVIDIA erfindet den Grafikprozessor und fördert Fortschritte in den Bereichen KI, HPC, Gaming, kreatives Design, autonome Fahrzeuge und Robotik.