Algorithm Developer

About QTREX QTREX Quantum Ltd. (Nasdaq: QTEX) is a growing deep-tech company developing advanced connectivity and electronics manufacturing solutions for next-generation hardware markets.

Building on our proprietary Additively Manufactured Electronics (AME) technology, we develop materials, manufacturing processes, and production platforms for high-performance interconnects, electronic substrates, and densely packed three-dimensional structures.

Our solutions serve demanding applications including quantum computing, defense, aerospace, space, and other mission-critical systems.

Position Overview The Algorithm Developer will join QTREX's R&D team and develop algorithms for our advanced manufacturing platforms.

The role combines computer vision, image processing, machine learning, deep learning, computational geometry, and optimization to solve real-world engineering and manufacturing challenges.

This is a hands-on position covering the full development cycle from algorithm design and experimentation to implementation, validation, optimization, and integration into production systems.

Responsibilities

• Design and implement algorithms for advanced manufacturing systems.
• Develop solutions involving computer vision, image processing, machine/deep learning, geometry, data analysis, and optimization.
• Implement and Validate production-quality algorithms in Python and C++.
• Optimize algorithms for accuracy, robustness, and computational performance.
• Integrate algorithms into existing software and hardware systems.
• Collaborate with multidisciplinary Software, Physics, Electronics, Mechanical, and System Engineering teams.

Requirements:

• B.Sc. or M.Sc. in Computer Science, Mathematics, Physics, Electrical Engineering, or a related technical discipline.
• 5+ years of professional algorithm development experience.
• Strong programming skills in Python and/or C++.
• Strong mathematical, analytical, and problem-solving abilities.
• Hands-on experience with machine learning and deep learning, including model training and evaluation on frameworks such as PyTorch, TensorFlow, or equivalent..
• Experience with computer vision and image processing, OpenCV, NumPy, SciPy, and similar libraries.
• Practical experience using AI tools for software and algorithm development.

Advantage

• Experience with computational geometry, 2D/3D data, CAD, meshes, or point clouds.