Computer Vision Engineer

Research, develop and test computer vision, computational photography and image processing algorithms (both conventional and learning-based), specifically in the field of multi-camera systems.

·Combine information from different cameras (stereo-based processing, registration, data fusion)

·Algorithmic design for a real-time embedded platform

·Own the full development cycle – from concept, through research, design, implementation and testing

Qualifications

·M.Sc./ Phd, in Electrical Engineering with high grades- a must.

·at least 3 years of experience in Image Processing, computer vision or computational photography algorithms development.

·C/C++/Python coding experience is mandatory.

·Deep neural networks hands-on experience- a must

·Knowledge in event cameras-an advantage

·Experience with one or more embedded platforms-advantage

·In depth understanding in imaging systems (CMOS sensors, optics) and image pipeline – an advantage.