Bright Machines
Eyal Shahrabani's work experience includes various roles at different companies.
From 2020 to the present, they have been working at Bright Machines as a Global Senior Software Manager.
From 2017 to 2020, they were a Board Member at Trilogical Technologies Ltd.
From 2014 to 2020, they served as the Hardware & Software R&D Group Manager at Ziv Av Technologies, managing a group of over 10 engineers and coordinating with internal company units for innovative projects.
From 1999 to 2014, they worked at Ziv-Av Engineering in various roles such as Hardware & Software Team Leader, Software Developer, Projects Manager, and Mechanical Engineer. In these roles, they built technology teams, developed embedded systems, managed projects, and contributed to the design of mechanical systems.
Eyal Shahrabani obtained a B.Sc in Software Engineering from Afeka Tel Aviv Academic College of Engineering from the years 2005 to 2009. Prior to that, they earned a Practical Mechanical Engineer (P.ME) degree in Mechanics from Singalovski College of Practical Engineering between 1994 and 1996. In addition, Eyal Shahrabani has a certification in Machine Learning from Stanford University, which they received from Coursera in September 2019.
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Bright Machines
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Headquartered in San Francisco, Bright Machines is an industry leading technology company that offers an innovative approach to intelligent, software-defined manufacturing. It leverages computer vision, machine learning, 3D simulation, and adaptive robotics to fundamentally change the flexibility, scalability, and economics of production. With more than 500 employees worldwide, Bright Machines operates R&D centers in the U.S. and Israel, with additional field operations in the U.S., Mexico, China, and Poland. In 2019 Bright Machines was named a “Technology Pioneer” by the World Economic Forum and one of “America’s Most Promising Artificial Intelligence Companies” by Forbes.