Defining EO product specifications in collaboration with customers, sales teams and mission engineers, ensuring products meet user needs and mission objectives Translating customer data requirements into clear technical processing specifications for EO missions and data products Contributing to payload definition and selection for next-generation EO missions, ensuring downstream data usability and performance Designing and developing image processing pipelines, from raw data ingestion through to delivery of calibrated, orthorectified and analysis-ready products Implementing and maintaining image processing algorithms, including band-to-band registration, georeferencing and orthorectification, radiometric and atmospheric correction, cloud detection and masking, classification and derived products Integrating processing workflows into scalable, automated data processing systems and orchestration platforms Acting as a technical interface between data processing, sales and system engineering teams, supporting feasibility assessments, proposals and effort estimation Continuously improving processing chains by evaluating new tools, algorithms and techniques to enhance quality, performance and efficiency Supporting multi-payload and multi-sensor operations, adapting pipelines for diverse satellite platforms and data sources Contributing to payload characterisation, calibration and validation (Cal/Val) activities to ensure data accuracy and product quality Requirements Strong grounding in remote sensing principles and optical Earth Observation (EO) image processing Understanding of satellite payload processing concepts and algorithmic approaches Proficiency in Python and familiarity with geospatial processing libraries (e.g. GDAL, rasterio, numpy, Xarray) Knowledge of geospatial data structures, formats, coordinate systems and projections Understanding of data processing pipelines, automation concepts and workflow orchestration approaches Awareness of calibration and validation (Cal/Val) principles for EO data quality Core Competencies Demonstrates expertise in remote sensing principles and optical Earth Observation (EO) image processing, with a strong focus on developing and implementing image processing pipelines and algorithms. Proficient in Python and familiar with geospatial processing libraries, ensuring high-quality data products through effective calibration and validation practices. Highest-signal resume keywords Remote Sensing Principles Optical Earth Observation Image Processing Python Programming Geospatial Processing Libraries Calibration and Validation (Cal/Val) ATS Optimization Keywords Hard Skills Image Processing Algorithms Data Processing Pipelines Georeferencing Orthorectification Cloud Detection Classification Automated Data Processing Systems Payload Characterisation Data Usability Performance Evaluation Soft Skills Collaboration Technical Communication Problem Solving Industry Keywords Earth Observation Satellite Payload Processing Geospatial Data Structures Coordinate Systems Data Quality Tools
Satellite Payload Processing Engineer employer: Open Cosmos
Open Cosmos is an exceptional employer for those passionate about space technology, offering a dynamic and inclusive work environment where innovation thrives. With a commitment to employee growth and development, team members are encouraged to collaborate across disciplines while tackling real-world challenges through cutting-edge satellite communications solutions. Join a diverse and ambitious team dedicated to making space accessible, all while enjoying the benefits of a supportive culture that values respect and belonging.
