Satellite Payload Processing Engineer

Open Cosmos

Satellite Payload Processing Engineer at Open Cosmos transforming satellite data into actionable insights. Collaborate on product specification, image processing, and contributing to multi-sensor operations.

Posted 7/24/2026full-timeHarwell • 🇬🇧 United KingdomMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

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 PrinciplesOptical Earth Observation Image ProcessingPython ProgrammingGeospatial Processing LibrariesCalibration and Validation (Cal/Val)

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

Image Processing AlgorithmsData Processing PipelinesGeoreferencingOrthorectificationCloud DetectionClassificationAutomated Data Processing SystemsPayload CharacterisationData UsabilityPerformance Evaluation

Soft Skills

CollaborationTechnical CommunicationProblem Solving

Tools & Technologies

GDALRasterioNumpyXarrayWorkflow Orchestration Platforms

Industry Keywords

Earth ObservationSatellite Payload ProcessingGeospatial Data StructuresCoordinate SystemsData Quality

Tech Stack

Tools & technologies

CloudNumpyPythonRemote Sensing

About the role

Key responsibilities & impact

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

What you’ll need

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

Benefits

Comp & perks

Work at the cutting edge of space technology with customers around the globe
A mission-driven company making space accessible to help solve real-world challenges
A diverse, ambitious, and supportive team
Equal opportunity employer