Ambarella
Steven Hong is the VP and General Manager of Radar Technology at Ambarella. He joined Ambarella through its acquisition of Oculii, where he was the CEO and Co-Founder, growing the company to become the leading provider of AI software for radar perception. Prior to the acquisition, Oculii raised more than $80 million from top-tier VC investors and secured commercial partnerships with leading Tier-1, OEM, and AV companies globally.
Prior to founding Oculii, Hong was a partner at Kleiner Perkins where he invested in early stage (seed/series A) HardTech companies pioneering autonomous systems, AI and machine learning, space, IoT, 3D printing, robotics, and cloud infrastructure. Before KP, Hong co-founded Kumu Networks (Self Interference Cancellation for Full Duplex Wireless - $65M from NEA, Khosla Ventures, Third Point, Cisco, and Verizon) where he was responsible for product management, fundraising, IP strategy, business development, and marketing. He started his career as a management/strategy consultant at McKinsey and Uber, where he specialized in M&A diligence and expansion strategy.
Hong holds a PhD and an MS in Electrical Engineering from Stanford University, where he won several best paper awards for his research and graduated at age 23, completing both degrees in three years. Prior to Stanford, he earned a B.S. in Electrical Engineering from the University of Michigan.
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Ambarella
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Ambarella, Inc. is engaged in the development of high-definition (HD), ultra HD video compression, image processing and computer vision solutions. Its products are used in a variety of human and computer vision applications, including security camera, advanced driver assistance (ADAS), electronic mirror, drive recorder, driver/cabin monitoring, autonomous driving, and other robotic applications. Its low-power, high-resolution video compression, image processing, and neural network processors and software enables cameras to extract data from high-resolution video streams. It provides driver assistance systems, smart electronic mirrors, drive recorders and autonomous vehicles. Its CVflow architecture supports a variety of computer vision algorithms, including stereo obstacle detection and terrain mapping technology, and allows customers to differentiate their products by porting their own algorithms and neural networks to its CVflow-based chips.