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Computer Vision & Image Processing Engineer

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Onsite

Computer Vision & Image Processing Engineer

SMARTSHOOTER

Computer Vision & Image Processing Engineer

Skills

Deep LearningPythonMATLAB

5 months ago

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Important information


Contract type:

Other

Work mode:

Onsite

Published on:

7 August 2026

What they need


Smart Shooter is seeking a highly skilled Computer Vision & Image Processing Engineer to join our innovative team in developing cutting-edge technology solutions.

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.

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