> Markdown version of [/jobs/ext/2337713-remote-sensing-engineer](https://www.wearedevelopers.com/jobs/ext/2337713-remote-sensing-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Remote Sensing Engineer - **Company:** EDGX - **Location:** Gent, Belgium - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Continuous Integration, Data Reduction, Machine Learning, NetCDF, Operational Data Store, Open Source Technology, Low Latency, Geospatial Data Abstraction Library (GDAL) - **Published:** August 23, 2026 - **Apply:** https://www.adzuna.be/details/5853398600 ## About the Role * Real remote-sensing depth, with some years of hands-on work in optical, SAR and/or hyperspectral imagery: sensor characteristics and artefacts, processing levels from L0 through L1 to L2, and the geometric, radiometric and atmospheric corrections. * Proven experience building EO preprocessing pipelines with the tools of the trade: rasterio and GDAL, TorchGeo or equivalent, xarray, SNAP or ISCE for SAR, and fluency in the formats the domain runs on, GeoTIFF and COG, Zarr, NetCDF and HDF5, STAC catalogues. You have processed real operational data, not only prepared benchmark tiles. * The ability to write clearly, concisely and scientifically. We expect publications and open-source releases to come out of this work. * A genuine interest in space and in the field of Machine Learning / AI. Nice to haves * Hands-on experience applying machine learning to Earth observation data, and any exposure to edge AI. * Experience with other sensing modalities, in particular RF and spectrum monitoring, or with event-based and non-imaging sensors. * Disciplined MLOps practice: experiment tracking (for example ClearML), CI/CD, versioned datasets and benchmarks. * A track record of publications or open-source releases, and familiarity with the geospatial research frontier. * Familiarity with ESA programmes, mission phases and how onboard payload software gets qualified for flight. ## Description The remote sensing engineer is part of the application team within engineering. You build and deploy end-to-end remote sensing applications for EDGX's compute payloads. Starting from raw sensor data, you build (pre)processing pipeline and integrate applications on the edge. You work next to our artificial intelligence engineers, and drive requirements back to the engineering team. With the rest of the application team, you demonstrate our capabilities in orbit, laying out the foundation for future customer solutions., * Build the end-to-end applications together with our artificial intelligence engineers: from raw downlink-free sensor data through inference to a compact insight, demonstrated on EDGX flight hardware in orbit rather than in cloud environments. * Design, build and own the onboard (pre)processing pipelines that make true edge inference possible: calibration, radiometric and geometric correction, coregistration, cloud and quality masking, tiling and data reduction, engineered for operational data and constraints rather than clean demonstrators. * Own the data foundation the AI team trains and tests against: source, curate and version EO datasets and evaluation benchmarks across optical, SAR and hyperspectral data, and design the labelling and quality processes that make every result reproducible. * Hold every application to objective numbers, accuracy, detection time, resolution, latency, memory and watts, with benchmarks, ablations and failure-mode analysis that partners and customers can trust, so the operating envelope is known before it flies. * Prepare your work for release and publication: reproducible development, training and evaluation, licensing hygiene, and concise documentation and demo results that feed the next round of proposals, mission concepts and KPIs. ## Related Videos - [Hacking AI at the Edge of the Indian Ocean](https://www.wearedevelopers.com/videos/100177-hacking-ai-at-the-edge-of-the-indian-ocean) - [A Hitchhiker's Guide to Resource Efficient Software](https://www.wearedevelopers.com/videos/1414-a-hitchhiker-s-guide-to-resource-efficient-software) - [Swapping Low Latency Data Storage Under High Load](https://www.wearedevelopers.com/videos/746-swapping-low-latency-data-storage-under-high-load) - [Robots are coming into the wild! 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