Computer Vision/ Image Processing Engineer

N8XT AEROSPACE PTE. LTD.; Singapore; On-site; SGD 70,000 - 110,000; Full time

Job summary

N8XT AEROSPACE PTE. LTD. is seeking a Computer Vision / Image Processing Engineer to develop and implement algorithms for object detection from real-time mission-critical image sources, including electro-optical and thermal sensors.

You will research imaging systems, calibrate cameras using optical metrology, and design robust image processing pipelines. Proficiency in Python and C++ is essential, with experience in OpenCV and ML frameworks.

Qualifications

• Bachelor’s degree or higher in computer science, physics, mathematics or related field.
• Experience in image processing and/or computer vision, preferably outdoor systems.
• Deep understanding of imaging systems' sensor characteristics, optical metrology techniques and image signal processing.
• Hands-on experience in the image processing pipeline (color space, WB, calibration, etc.).
• Proficiency in Python, C++, MATLAB or other programming languages; familiarity with ML frameworks.

Responsibilities

• Research various imaging systems and validate them.
• Calculate and calibrate cameras for outdoor real-time mission-critical applications using optical metrology techniques.
• Design and test image processing systems and components (filters, edge detectors, feature extractors, classifiers).
• Optimize the performance and accuracy of image processing algorithms with parallel computing, ML/DL.
• Collaborate with data scientists, engineers, researchers, and clients to understand project requirements; document results.

Skills

Python

C++

MATLAB

OpenCV

TensorFlow

PyTorch

Image processing

Computer vision

Problem-solving

Team collaboration

Education

Bachelor's degree in CS/Physics/Math

Master's degree preferred

Tools

OpenCV

TensorFlow

PyTorch

scikit-image

PIL

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