Assaf Ben Yosef
About Assaf Ben Yosef
Assaf Ben Yosef is a perception engine developer with extensive experience in the technology sector, currently working at LeddarTech since 2020. He has held various technical roles at companies such as Intel Corporation, SQream, and IBM Global Services, specializing in sensor data fusion and AI integration.
Work at LeddarTech
Assaf Ben Yosef has been employed at LeddarTech since 2020 as a Perception Engine Developer. In this role, he specializes in developing perception engines that integrate sensor data fusion with artificial intelligence and machine vision technologies. His work focuses on enhancing the capabilities of perception systems, which are critical for applications in autonomous vehicles and advanced sensing technologies.
Previous Experience at Intel Corporation
Prior to joining LeddarTech, Assaf worked at Intel Corporation from 2015 to 2020 as a Computer Specialist. During his five years at Intel, he contributed to various projects that involved computer systems and technology solutions, further developing his technical skills and expertise in the field.
Career Background in Technical Development
Assaf's career includes diverse roles in technical development. He served as an All-around Technical Developer/Designer at SQream from 2011 to 2015, and as a Technology Consultant at Ellipsis Consulting Services from 2009 to 2011. His earlier experience includes positions at Magic Software Enterprises and IBM Global Services, where he held roles as a Developer and Leader, contributing to software development and project management.
Technical Skills and Specializations
Assaf Ben Yosef specializes in developing perception engines that utilize sensor data fusion, AI, and machine vision technologies. He is proficient in programming languages such as C/C++ and CUDA, which he employs to enhance real-time processing capabilities on both Linux and Windows platforms. His expertise includes transforming naive algorithms into high-performance real-time solutions, making significant contributions to the efficiency of perception systems.