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Image Processing Engineer

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Job Description - 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

1. 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.

2. 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.

3. 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.

4. 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.

5. 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

Education

  • Bachelor’s, Master’s, or Ph.D. in Remote Sensing, Electrical Engineering, Computer Science, Geoinformatics, Physics, or a related quantitative discipline.

Experience

  • 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.


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