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Computer Vision & Image Processing Engineer at Smart-shooter

Zvulun Regional Council, Haifa District, Israel -

Full Time

Start Date

Immediate

Expiry Date

29 Aug, 26

Salary

0.0

Posted On

31 May, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Computer Vision, Image Processing, Deep Learning, C, C++, Python, Matlab, Pattern Recognition, Algorithm Design, Embedded Systems, Real-Time Systems, Production Code

Industry

Defense and Space Manufacturing

Description

In this role, you will design, develop, and implement cutting-edge image processing and computer vision algorithms. You will work on complex, real-world visual tasks, taking algorithms from theoretical concepts to production-grade deployment on cutting-edge systems. About Smart Shooter Smart Shooter is a world-class designer, developer, and manufacturer of innovative Fire Control Systems that significantly increase the accuracy and lethality of small arms. With a rich record in designing unique solutions for the warfighter, Smart-Shooter’s technology enhances mission effectiveness through the ability to accurately engage and eliminate ground, aerial, static or moving targets during day and night operations. Key Responsibilities Research, design, and develop innovative computer vision and image processing algorithms. Implement and train Deep Learning models tailored for challenging visual tasks. Optimize algorithms and write scalable, clean, and efficient production code. Collaborate closely with hardware, software, and systems engineering teams to deliver end-to-end solutions. Requirements Requirements Education & Experience: M.Sc. or Ph.D. in Computer Science, Electrical Engineering, or a related field—with a distinct specialization in Computer Vision or Pattern Recognition. At least 3 years of proven industry experience developing algorithms in the fields of Image Processing and Computer Vision. Technical Skills: In-depth knowledge and hands-on experience in classic Image Processing & Computer Vision methods. Strong familiarity with Deep Learning frameworks and solutions for complex visual tasks. Extensive, hands-on experience in C and C++ programming for large-scale applications. Advantages (Nice to Have) Experience implementing and deploying algorithms on low-power, Real-Time (RT) Embedded systems. Practical knowledge and programming experience in Python. Practical knowledge and experience in Matlab.

Responsibilities

Design, develop, and implement advanced computer vision and image processing algorithms for fire control systems. This includes training deep learning models and optimizing production-grade code for deployment on cutting-edge systems.