Image Processing Scientist

Work with the brightest minds, including ex-ISRO scientists and global space industry experts, at one of the select few companies in the country pioneering cutting edge EO payloads. Seeking an Image Processing Scientist to contribute to the development of high-performance image processing pipelines for satellite optical sensors, utilizing advanced algorithms to drive real-time analysis. About KaleidEOKaleidEO, a subsidiary of SatSure, is an upstream leader in Earth Observation, building a full-stack company from India. As an 'analytics-first' payload innovator, we specialize in building next-gen, high-resolution, multispectral payloads with edge computing and wide coverage capabilities. Rooted in SatSure's legacy of building applications across sectors like Utilities, Agriculture, Aviation, BFSI, and Climate Action, we also provide end-to-end EO solutions, from payload development and launch to mission operations and data analytics. At KaleidEO, we are shaping the future of Earth Observation and putting Indian space tech on the global map. If you thrive on challenges and are passionate about pushing the boundaries of image processing, this is your calling! To assist in developing and optimizing algorithms for key image processing stages, including radiometric and geometric correction, atmospheric correction, image enhancement, mosaicking, and orthorectification. To assist in designing and implementing efficient image processing pipelines for satellite optical sensor data. To 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). To assist in developing solutions for cloud-based processing to handle large-scale satellite data efficiently.. To ensure the pipeline is automated, efficient, and scalable to handle high-volume satellite data processing tasks. To work closely with data scientists, software engineers, and GIS specialists to integrate image processing pipelines into broader systems. To participate in quality assurance practices to ensure high-quality image products. To maintain thorough documentation of the pipeline architecture, algorithms, processes, and development timelines, and report progress to key stakeholders.

Bachelors or Master's degree in Remote Sensing, Geospatial Science, Physics, Electrical Engineering, Computer Science, or a related field.