Samuel Dunham

Samuel Dunham is an experienced engineering professional specializing in hardware and software. Currently serving as an EDA Workflow Optimization Engineer at NVIDIA, they focus on metrics and optimization for EDA workflows, as well as microservices development. Previously, they worked at companies such as Intel Corporation and Cadence Design Systems, engaging in analog validation, SERDES system development, and DSP implementations. Samuel holds a Master’s Degree in Electrical Engineering from Southern Illinois University Edwardsville, where they also contributed as a VLSI Research Assistant.