Tim Moon

Tim Moon is a Senior Performance Engineer at NVIDIA, where they optimize the performance of the MLPerf LLM benchmark and develop the Transformer Engine for FP8 training. Previously, they worked as a CUDA Software Intern at NVIDIA, contributing to spectral graph partitioning, and served as a Student Intern at Lawrence Livermore National Laboratory, focusing on deep learning toolkits for HPC systems. Tim earned a Master’s degree in Computational and Mathematical Engineering from Stanford University and a Bachelor of Science in Physics from Rice University. Earlier in their career, they developed a GPU-accelerated simulation for brain cancer therapy as an Undergraduate Research Assistant at Rice University.