Ambarella
Jerome Gigot began their work experience in 2000 at FVC.com, a startup focused on MPEG2 over ATM systems, where they worked as a Software Engineer handling UI work and network integration. In 2001, they moved on to C-cube as a Software Engineer. Then, in 2002, they joined LSI logic as a Senior Software Engineer, developing software for a DVD recorder chipset. In 2005, Gigot became a Product Marketing Manager at Mobilygen, a Video SoC startup, where they managed customer engagements and product definition across various industries. Jerome then worked at Maxim Integrated Products as a Sr Business Manager from 2008 to 2012, where they managed the SkypeTV, security, and consumer product lines and collaborated with Tier-1 TV companies globally. Currently, they work at Ambarella since 2012 as a Senior Director of Marketing, leading marketing and business planning for various product lines such as professional surveillance, home security, IoT, robotics, and AI, managing over $200M of business and preparing for the next wave of computer vision and artificial intelligence.
Jerome Gigot attended Telecom Bretagne from 1998 to 2001, where they earned a MSEE-BSEE degree in Telecommunications. Jerome also attended IMT Atlantique during the same period and obtained a Master's degree. The field of study for the Master's degree is unspecified.
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.