Nathan Hackett
About Nathan Hackett
Nathan Hackett serves as the General Manager of Advanced Computing at Silergy Corp, where he has worked since 2018. He has extensive experience in semiconductor design and machine learning, with a background that includes roles at Texas Instruments and Maxim Integrated.
Work at Silergy
Nathan Hackett has been with Silergy Corp since 2016, initially serving as Director of IC Design before advancing to the role of General Manager for Advanced Computing in 2018. In these positions, he has contributed to the development and management of innovative semiconductor solutions. His leadership in Irvine, California, has been instrumental in driving projects that leverage his expertise in neural networks and machine learning, particularly in the context of advanced computing applications.
Education and Expertise
Nathan Hackett earned a Bachelor of Engineering (BE) degree from the University of California, Los Angeles (UCLA), where he studied Engineering from 1988 to 1994. His academic background laid the foundation for his professional expertise in neural networks, machine learning, and application-specific integrated circuits (ASIC). These skills are particularly relevant to his work in the semiconductor industry, where he focuses on product development and circuit design.
Background
Before joining Silergy Corp, Nathan Hackett held various engineering roles that contributed to his extensive experience in the semiconductor field. He worked at Texas Instruments as a Staff Engineer from 1997 to 2000 and later served as Manager of IC Design at Maxim Integrated from 2010 to 2016. His diverse background in circuit design and engineering management has equipped him with a comprehensive understanding of the industry's technical and operational challenges.
Achievements
Throughout his career, Nathan Hackett has demonstrated significant contributions to the semiconductor industry, particularly in the areas of IC design and advanced computing. His roles at Silergy Corp and previous companies have involved overseeing the development of cutting-edge technologies that integrate machine learning and neural networks into semiconductor applications. His professional trajectory reflects a commitment to innovation and excellence in engineering.