Mobileye N.V. is engaged in the development of computer vision and machine learning-based sensing, mapping and driving policy technology for advanced driver assistance systems and autonomous driving technologies. The Company operates through two segments: Original Equipment Manufacturing, which supplies the software algorithms and EyeQ chip, and After Market, which sells a complete system, which includes its software algorithms and EyeQ chip, as well as the camera and other necessary components. Its software algorithms and EyeQ chips perform detailed interpretations of the visual field in order to anticipate possible collisions with other vehicles, pedestrians, cyclists, animals, debris and other obstacles. Its products are able to detect roadway markings; identify and read traffic signs, directional signs and traffic lights; create a Roadbook of localized drivable paths and visual landmarks using its road experience management technology, and provide mapping for autonomous driving.

Automotive

Mobileye

Amnon Shashua

Nir Bezalel

Moran Shemesh Rojansky

Liz Cohen-Yerushalmi

Nimrod Nehushtan

Yossi Hadad

Yoram Gdalyahu

Tsachi Namir

Tal Babaioff

Shai Shalev - Shwartz

Lior Sethon

Kobi Ohayon

Jack Weast

Johann Jungwirth

Diane Be'ery

Yosi Arbeli

Tomer Baba

Gaby Hayon

Shay Asoolin

Danielle Mann

Shotaro Kawahara

The Cloud and DevOps team at Mobileye focuses on developing and maintaining the cloud infrastructure and DevOps practices that support the company's advanced driver assistance systems and autonomous driving technologies. This includes automating deployment processes, managing cloud resources, optimizing cloud costs, ensuring security standards, and coordinating technical projects to streamline operations and enhance the reliability and scalability of Mobileye's software algorithms and EyeQ chip functionalities.

Cloud and DevOps

Leadership Team

Research and Development

Cloud and DevOps

About

Team members

Other teams at Mobileye

Leadership Team

Research and Development