Research, develop and test computer vision, deep-learning, 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
A mixture of algorithmic work (research and design in Python and SW work (including SW architecture, implementation in C/C++, optimization)
M.Sc., in Electrical Engineering from certified university with high grades.
B.Sc. in Electrical Engineering or Computer Science from certified university with honors
at least 5+ years of experience in Image Processing, computer vision or computational photography algorithms development.
C/C++/Python coding experience is mandatory.
Experience with mobile architectures, such as TensorFlow-Lite or SNPE is a big advantage.
Fast learner, team player, reliable, motivated, hard worker, good organizational skills.
In depth understanding in imaging systems (CMOS sensors, optics) and image pipeline – advantage.
Tel: +972 3 641-9888
Fax: +972 3 641-1818
Image quality
Camera hardware
Computer Vision