Deep Learning Performance Architect - New College Grad 2027

About the job

NVIDIA is at the forefront of the generative AI revolution. We are looking for New College Graduates to join our GPU compute architecture and performance engineering team, dedicated to pre-silicon modeling, data-supported architecture exploration, and GPU microarchitecture improvement for LLM inference, agentic AI, and other generative AI workloads. As a Deep Learning Performance Architect, you will help improve the efficiency and scalability of large language models (LLMs), agentic AI systems, and other generative AI models on NVIDIA platforms. You will gain hands-on experience with pre-silicon performance modeling, correlation, bottleneck analysis, GPU architecture studies, and system-level analysis, while collaborating with engineers across kernel, hardware, and performance teams.

This role offers an opportunity to contribute to real-world studies that help shape the performance of next-generation LLMs, agentic AI systems, and other generative AI models in data center and edge environments. You will help develop the system-level modeling and correlation solutions needed for accurate projections and for guiding performance and efficiency improvements in the agentic era.