Computer Vision Algorithms Engineer - JB-568

Our mission is to help businesses grow by leveraging modern technology and creating a digital future for our customers.

Be part of our Penetration Testing Team, which has a footprint in the most innovative and challenging projects.

We are looking for a highly skilled Computer Vision Algorithms Engineer to join a research-driven team focused on advanced sensing technologies. for a fulltime position. You will work on cutting-edge problems involving multispectral imagery and soon other non-standard imaging modalities. The team includes strong researchers with physics and engineering backgrounds — we are looking for an experienced computer vision expert to complement and lead the algorithmic vision side.

Responsibilities

• Design, develop, and implement computer vision and image processing algorithms for advanced sensing systems
• Work with RGB and non-RGB data (multispectral, thermal, low-light, or similar modalities)
• Translate research ideas into robust, production-ready algorithms
• Collaborate closely with researchers, engineers, and system designers
• Explore novel approaches and contribute creatively to new solutions in a research-heavy environment
• Take ownership of complex algorithmic problems from concept to deployment

Requirements

• 5+ years of hands-on experience in computer vision or related algorithmic roles
• Strong proficiency in Python and common computer vision / scientific libraries (e.g., OpenCV, NumPy, SciPy, scikit-image, PyTorch / TensorFlow — depending on background)
• Solid understanding of computer vision fundamentals (geometry, filtering, feature extraction, learning-based methods, etc.)
• M.Sc. or higher in Computer Science, Electrical Engineering, Physics, or a closely related field
• Ability to work independently, think creatively, and solve open-ended research problems
• Strong communication skills and comfort working in a multidisciplinary team
• Availability and commitment to a full-time position

Advantage

• Experience with multispectral / hyperspectral / thermal imaging
• Background in research-oriented or exploratory R&D teams
• Familiarity with deploying algorithms into real systems (performance, robustness, edge cases)