NVIDIA is a world leader in computer graphics, artificial intelligence, and accelerated computing. For over 25 years, NVIDIA has been at the forefront of research and engineering around the greatest advances in technology. Our history of innovation drives us to solve the world's hardest problems.

Teams at NVIDIA are dedicated to building the next generation of agentic AI systems—autonomous, reasoning‑driven agents capable of planning, collaborating, and executing complex tasks across diverse environments. The team drives innovation at the intersection of large language models, multi‑agent coordination, autonomous decision‑making and real‑time reasoning for GPU‑accelerated systems.

What you’ll be doing:

Develop Autonomous AI agents contributing to next-generation GPU System SW stack and tools
Developing AI agents adopting LLMs, multimodal models, and autonomous agent frameworks, ensuring robust and production-ready deployments.
Collaborate cross‑functionally with product, engineering, and research teams to ensure customer success and influence NVIDIA’s agentic AI roadmap.
Build architectures, best practices, and solution patterns for deploying AI agents at scale across NVIDIA and deliver best in class solution to the customers.

What we need to see:

Bachelor’s or Master’s degree in Computer Science, or related fields.
Strong programming skills in Python, C++, CUDA, and experience with deep learning frameworks (PyTorch and TensorFlow).
Knowledge on next generation of agentic AI systems—autonomous, reasoning‑driven agents capable of planning, collaborating, and executing complex tasks across diverse environments.
Hands on experience with any agentic frameworks (e.g., LangChain, LangGraph, CrewAI, OpenAI APIs).
Strong understanding of tool-use frameworks, database, retrieval systems, memory systems, and orchestration engines.
Background in AI safety, control systems, evaluation frameworks, or agent alignment.

Ways to stand out from the crowd:

Demonstrated experience building or deploying agentic AI systems, LLM‑based agents, workflow orchestration, or multi‑agent frameworks in real‑world environments.
Prior contributions to open‑source AI ecosystems, including agent frameworks, LLM integrations, inference optimization, or GPU‑accelerated ML libraries.

NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and creative people in the world working here! If you are driven by impact, passionate about enterprise AI, and inspired to shape the agentic AI at scale we want to hear from you. Apply today!