Help & Supportcareers@gravityer.com
System Architect for Deep Learning and Computer Vision at Mobileye
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
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.