Daniel Gardner is a Senior Embedded Software Engineer with 11 years of experience designing and shipping firmware and connectivity solutions across consumer audio, robotics, and research-driven products. He combines deep embedded C expertise, embedded Linux and test automation with hands-on ML/AI and computer vision exposure from roles at Air Force Research Laboratory and Cambridge Consultants. Recently focused on connectivity and audio systems at iRobot and Sonos, he brings practical experience building bare-metal peripherals, custom I2C/SPI firmware flows, and automated firmware update/test frameworks. Comfortable moving between low-level device drivers and higher-level validation tooling, he’s known for bridging research prototypes into production-ready embedded systems. Based in Boston, he pairs academic grounding in computer engineering with a knack for explaining and testing “black box” models in constrained hardware environments.
11 years of coding experience
Bachelor of Science, Computer Engineering, Bachelor of Science, Computer Engineering at Northeastern University
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