Jeremy Roberson
About Jeremy Roberson
Jeremy Roberson is a Technical Director and Software Architect specializing in AI and machine learning, with a strong background in signal processing for embedded systems. He has held various positions in notable companies and focuses on developing low power machine learning solutions for audio, speech, and vision systems.
Work at Flex Logix Technologies
Jeremy Roberson serves as the Technical Director and Software Architect for AI/ML at Flex Logix Technologies, Inc. since 2020. In this role, he specializes in developing machine learning solutions tailored for low power systems, which include client, Android, and IoT devices. His work focuses on enhancing the efficiency and effectiveness of AI applications while addressing the challenges of power consumption and system longevity.
Previous Experience in Aerospace and Technology
Prior to his current position, Jeremy Roberson held several significant roles in the technology sector. He worked at The Aerospace Corporation as a Senior Member of the Technical Staff from 2006 to 2011. He then transitioned to Synaptics, where he served as a Staff Systems Architect from 2011 to 2018. Earlier in his career, he was an Embedded Software and DSP Algorithms Engineer at Applied Signal Technology for a brief period in 2004, and he worked as a Platform Architect for AI/ML at Intel Corporation from 2018 to 2020.
Education and Expertise
Jeremy Roberson earned his Ph.D., Master's degree, and Bachelor's degree in Electrical Engineering from the University of California, Davis. His educational background provides a strong foundation for his expertise in signal processing for embedded systems and machine learning applications. His research and development efforts emphasize audio, speech, and vision systems, contributing to advancements in these fields.
Focus on Machine Learning and Power Efficiency
In his professional work, Jeremy Roberson emphasizes the development of machine learning solutions that achieve better accuracy while minimizing power consumption. He engages in state-of-the-art software research and development, focusing on creating efficient AI applications that reduce obsolescence. His approach aims to balance performance with energy efficiency, particularly in low power environments.