Ambarella
Joey Li has a diverse work experience in software development and engineering roles. Joey started their career as a Software Engineer at Intervideo Inc, where they developed PC-based video editing tools. Later, they joined Broadcom Inc as a Software Engineering Manager, working on multimedia algorithm development and integration of various applications. Joey then moved to Magiccom Inc as a Senior Manager, contributing to the software development of platforms for feature phone market. After that, they worked at AugustaTek, Inc as a Senior Director, focusing on software development for smart phone business. Currently, Joey is employed at Ambarella Inc as a Principal Engineer, where they are involved in software development for IP-security/sports/wearable cameras, architecture and implementation of computer vision frameworks, and inter-communication between different operating systems. Prior to their work experience, Joey also worked at the University of South California as a Post Doc, conducting research on 3D compression technology and MPEG4 compression algorithm improvement. Overall, Joey Li has a strong background in software development, algorithm implementation, and system integration in the technology industry.
Joey Li completed a Bachelor's degree in Physics from the University of Science and Technology of China from 1989 to 1993. Subsequently, they pursued a Ph.D in Electrical Engineering at the University of Southern California from 1993 to 1998.
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.