System Architect for Deep Learning and Computer Vision at Mobileye
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System architecture and algorithm development for advanced computer vision and deep learning applications. • Research and architecture development of advanced computer vision solutions for the automotive area. • product requirement definitions, working with costumers and business unit. • traditional and deep learning based computer vision workloads analysis and mapping. • Derive architectural enhancements in order to meet performance and efficiency targets. • Hardware accelerators development, architecture and behavioral model coding. • Algorithm optimization and adjustment for embedded systems. • Development of performance optimizations for real-time applications.
Technion - Israel Institute of Technology
Bachelor of Science (BSc), Electrical and Electronics Engineering
January 1, 2005 – January 1, 2009
Technion - Israel Institute of Technology
Bachelor of Science (BSc), Physics
January 1, 2005 – January 1, 2009
Mobileye - Intel
System Architect for Deep Learning and Computer Vision
January 1, 2016 – Present
Intel Corporation
Signal Integrity Engineer
September 1, 2009 – January 1, 2015
Cultural Fit Analysis
The candidate's experience is heavily focused on hardware and low-level system design (Signal Integrity, System Architect for Deep Learning/Computer Vision). While there's a strong technical foundation, the direct alignment with a 'Data Analyst' role is not immediately apparent. The projects field is empty, limiting the ability to assess diversity of experience or specific data analysis skills. The candidate's background suggests a strong analytical mind, but the specific application to data analysis is not demonstrated.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The psychometric test score is 0, providing no insights.