Lead Satellite Imagery Processing Engineer for Earth Observation
2 weeks ago
We are seeking a highly skilled Principal Satellite Image Processing Engineer to spearhead the development of a high-performance image processing pipeline for satellite optical sensors.
About KaleidEOKaleidEO is investing to launch its fleet of earth observation satellites. We want to make insights from earth observation data accessible to all. The synergy of KaleidEO and SatSure aims to bring a new dimension to the earth observation industry by being the only full-stack company from India, to have satellites in space to deliver insights on the ground.
Key Responsibilities- Pipeline Architecture & Development: Lead the design, development, and implementation of an efficient, scalable image processing pipeline for satellite optical sensor data, from raw data ingestion to analysis-ready outputs.
- Algorithm Design: Develop and optimize algorithms for key image processing stages, including radiometric and geometric correction, atmospheric correction, image enhancement, mosaicking, and orthorectification.
- Data Preprocessing: Oversee the development of robust preprocessing techniques to handle satellite imagery (noise reduction, calibration, sensor alignment, etc.) for optimal analysis accuracy.
- Advanced Image Analysis: Apply cutting-edge techniques such as deep learning, object detection, and spectral analysis to extract meaningful insights from optical imagery (e.g., DEM/DSM, change detection).
- Integration with Cloud and On-Premise/On-Edge Systems: Develop and implement solutions for cloud-based processing (e.g., AWS, Google Cloud) or hybrid environments to handle large-scale satellite data efficiently.
- Advanced degree: Master's or Ph.D. in Remote Sensing, Geospatial Science, Electrical Engineering, Computer Science, or a related field.
- Experience: 8+ years of experience in satellite image processing, remote sensing, or related fields, focusing on optical sensor data.
- Skills: Experience designing and optimizing image processing pipelines for satellite imagery, particularly optical sensors; proficiency in image processing and computer vision algorithms; expertise in programming skills like Python, C++, or MATLAB, with experience using image processing libraries; in-depth understanding of satellite optical sensors and the processing challenges associated with their data.
$120,000 - $180,000 per year
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