Senior Architect, Model Performance and Post-Training

About the job

NVIDIA is widely regarded as one of the technology industry’s most desirable employers. We lead the way in High-Performance Computing, Artificial Intelligence, and Visualization. Our core invention, the GPU, serves as the visual cortex of modern computers and powers our entire product suite. GPU deep learning ignited the modern AI era—the next great computing age—with the GPU acting as the brain for everything from robots and autonomous cars to conversational AI. Today, we are known globally as "the AI computing company." We are looking to grow our teams by bringing in the smartest people in the world. Join us at the forefront of technological advancement.

We are looking for a Senior Engineer to drive the performance modeling, evaluation, and post-training of large language models specialized in code generation, software engineering, and agentic coding tasks. In this role, you will work at the intersection of model training, inference optimization, and empirical analysis to improve coding model capabilities, efficiency, reliability, and real-world developer productivity. You will design experiments to understand model behavior, identify performance bottlenecks, and develop post-training strategies that translate into measurable improvements on coding benchmarks and real-world software engineering tasks. You will collaborate closely with research scientists, infrastructure engineers, and product teams to turn model insights into production-ready capabilities.