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n8xt aerospace pte. ltd.

Singapore / Global

Vision Sensors/ Computer Vision Engineer

Job Description

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

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