Alvin K. Wong

VP, Product Management at SiMa.ai

Alvin K. Wong has over 20 years of experience in the semiconductor, artificial intelligence, automotive, industrial IoT, and security industries. In 2021, they began working as the Vice President of Product Management at SiMa.ai, a machine learning company. From 2018 to 2021, they served as the President of WongThoughts, providing strategic insights and advice to C-Suite Executives. Alvin K. also held the role of Executive Vice President of Automotive and Chief Strategy Officer at Eyeris from 2018 to 2021. From 2016 to 2018, they were the Vice President of Automotive Innovation Center at Sony, where they founded the Automotive Innovation Center in Silicon Valley and established key automotive executive relations. From 2013 to 2016, they were the Senior Director of Marketing and Applications for Automotive and Scanning Division at ON Semiconductor. From 2011 to 2013, they were the Vice President of Marketing and Business Development at Spansion, where they developed a human machine interface strategy. From 2007 to 2011, they were the General Manager (Vice President and General Manager at Leadis Technologies) at IDT, where they built the Touch Business Unit and managed the successful sale to IDT. From 2004 to 2007, they were the Vice President of Marketing at Xceive Corporation, where they achieved >300% sales growth in FY06 and achieved 51% market share of the 6M units in the small form factor PC-TV TAM market segment. From 2001 to 2004, they were the Vice President of Marketing and Wireless at Infineon Technologies, where they held full P&L responsibility for managing the $100M Wireless Division of Infineon North America.

Alvin K. Wong has completed an Executive Management Program Graduate from Indiana University Graduate School of Business and a B.S.E.E. from San Jose State University's Department of Electrical Engineering.

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San Francisco, United States

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SiMa.ai

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SiMa.ai™ is the company enabling high performance machine learning to go green. Led by a team of industry experts, the company is committed to delivering the highest frames per second per watt solution in the market to its customers – accelerating the proliferation of high performance machine learning inference at very low power in embedded edge applications.


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51-200

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