Vision Sensors/ Computer Vision Engineer

The computer vision / image processing engineer is responsible for developing and implementing algorithms and software tools to process and analyse images for various object detection applications from multiple real-time mission-critical image sources, such as electro-optical, thermal imaging sensors and other sensors.

The job scope includes:

• Research various imaging systems and validate them.
• Using optical metrology techniques, calculate and calibrate cameras for outdoor real-time mission-critical applications
• Designing and testing image processing systems and components, such as filters, edge detectors, feature extractors, classifiers, etc
• Optimising the performance and accuracy of image processing algorithms using techniques such as parallel computing, machine learning, deep learning, etc
• Collaborating with other data scientists, engineers, researchers, and clients to understand the requirements and specifications of image-processing projects
• Document and present the results and findings of image processing experiments and analyses

Requirements:

• A bachelor's degree or higher in computer science, physics, mathematics or a related field
• Experience in image processing and/or computer vision, preferably outdoor systems
• Deep understanding of the imaging systems' sensor characteristics, optical metrology techniques and image signal processing
• Hands-on experience in the image processing pipeline. (Zoom and focus, auto white balance, camera colour conversion, colour space and colour management, etc.)
• Expertise in identifying diverse colour issues within intricate ISP systems and in precision tuning of parameters to achieve optimal image quality
• Knowledge of mathematical modelling, statistical analysis and image processing techniques. (Kalman filtering etc.)
• Proficiency in Python, C++, MATLAB or other programming languages
• Familiarity with popular frameworks and libraries for image processing and machine learning, such as OpenCV, TensorFlow, PyTorch, scikit-image or PIL
• Ability to work independently and as part of a team
• Excellent communication and problem-solving skills