Matthew Brown is a Computer Vision Engineering Manager in Seattle with 8 years of experience building production-grade vision systems for robotics, manufacturing automation, and simulation. He progressed through technical leadership at Audere, moving from Senior CV Engineer to Engineering Manager while owning end-to-end model development and deployment. Prior roles at Bright Machines and Microsoft highlight his expertise in camera-agnostic calibration, part detection and pose estimation for pick-and-place, and sim-to-real toolchains using AirSim, Unreal, and Unity. His background blends mechanical engineering rigor (dual BS/MS from Drexel) with hands-on software practice in Python, C++, and ML for perception and structural analysis. Known for taking prototypes through continuous deployment, he often bridges research and product by shipping robust calibration and procedural generation tools. Outside product work he brings unexpected depth from aerospace and lab automation co-op projects, giving him a systems-level view of sensing, tooling, and manufacturing constraints.
8 years of coding experience
6 years of employment as a software developer
Dual Bachelor and Master of Sciences Mechanical Engineering, Dual Bachelor and Master of Sciences Mechanical Engineering at Drexel University
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Matthew Brown - Computer Vision Engineering Manager at Audere