Image Processing Engineer

Role Overview We are seeking a highly motivated Image Processing Engineer to design, develop, and optimize image processing algorithms for satellite remote sensing data . This role emphasizes sensor-aware image processing , image quality assessment , and geometric fidelity across Synthetic Aperture Radar (SAR) and optical (MSI) imagery. The ideal candidate possesses a strong foundation in classical and modern image processing techniques , a solid understanding of sensor physics and system performance metrics (e.g., MTF, SNR) , and the ability to translate theoretical models into robust, production-grade algorithms . Key Responsibilities Remote Sensing Image Processing Quality Analysis Design and implement image processing algorithms for SAR and optical satellite imagery . Analyze and optimize image quality metrics including Signal-to-Noise Ratio (SNR) , Modulation Transfer Function (MTF) , radiometric resolution, contrast, and spatial resolution. Identify, evaluate, and mitigate sensor- and platform-induced artifacts , including noise, blur, aliasing, speckle, and distortions. Perform image enhancement, denoising, filtering , and resolution-preserving transformations tailored for remote sensing data characteristics. Geometric Processing Coregistration Develop and refine pipelines for geometric correction, georeferencing, orthorectification , and multi-sensor coregistration . Address geometric distortions caused by sensor models , platform motion, terrain relief, and imaging geometry. Collaborate with Calibration and Validation (Cal/Val) teams to evaluate geometric accuracy and ensure image quality consistency across datasets. Sensor Characterization Performance Understanding Apply sensor models and system-level concepts to image formation and processing workflows. Analyze the effects of MTF , SNR , sampling theory, and noise models on downstream products such as image fusion and analytics. Support payload and mission teams with image-based performance assessment and technical feedback. Algorithm Development Deployment Develop clean, efficient, and scalable image processing code for cloud-based environments. Optimize algorithms for large-scale geospatial datasets and high-throughput processing systems. Design and execute validation experiments to quantify image quality, geometric accuracy, and algorithm robustness. Documentation Collaboration Maintain comprehensive technical documentation detailing algorithms, assumptions, validation results, and known limitations. Stay current with advances in remote sensing image processing , sensor technologies, and computer vision methods. Work closely with Data Fusion Scientists, Remote Sensing Analysts, and Software Engineers to integrate algorithms into production workflows. Requirements Bachelor, Master, or Ph.D. in Remote Sensing , Electrical Engineering , Computer Science , Geoinformatics , Physics , or a related quantitative discipline. Minimum 2+ years of professional experience in satellite image processing, remote sensing, or sensor data analysis. Image Processing Fundamentals Strong understanding of filtering , sampling , interpolation , denoising , and enhancement techniques . Familiarity with image quality metrics such as MTF, SNR, radiometric resolution, and spatial resolution. Remote Sensing Expertise Hands-on experience with SAR and/or optical satellite data . Understanding of speckle , noise models, and radiometric and geometric corrections . Coding Skills Proficiency in Python , with experience using: NumPy, SciPy, Pandas GDAL / Rasterio scikit-image, OpenCV Experience with scalable or parallel processing is a strong advantage. Geometric Awareness Familiarity with sensor models (RPCs or rigorous physical models) and georeferencing techniques . Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.