Remote Sensing Engineer

About EDGX

Increase your chances of an interview by reading the following overview of this role before making an application.

EDGX is a fast-growing Belgian spacetech company defining the compute layer of the space economy. That future starts with edge computers onboard spacecraft and scales to data centre nodes in space. We're making the building blocks for compute services in space.

We started just three years ago, and we're moving fast. EDGX is backed by imec.istart, the imec.istart Future Fund, and the Flanders Future Tech Fund through a €2.3M seed round, plus several ongoing ESA contracts. Our first two satellite demonstration missions launched in March 2026 on a SpaceX Falcon 9, with more sure to come. If you want to help define the future of the space industry, you'll feel right at home at EDGX.

The Role

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.

Key Responsibilities

• 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.

What you're bringing

Must haves

• 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.

What's in it for you

Joining EDGX means becoming part of an exciting journey to revolutionise the space industry. Here's what you can expect:

Unique Opportunity

• Direct Impact: Your work will directly shape the AI models and applications running on spacecraft in orbit, turning raw compute into mission-ready intelligence from day one.
• Professional Growth: Benefit from mentorship and the opportunity to grow your role as the company scales.
• Shaping the Industry: Work at the forefront of a new generation of space companies. We're redefining how the industry operates and setting the standard for the rest.

International Reach

• International Exposure: Collaborate with international partners, agencies, and clients as EDGX's technology reaches missions around the globe.
• Startup Culture: Join a fast-growing spacetech startup with a young, driven team and a dynamic, hands-on culture.

Compensation & Perks

• Compensation & Benefits: Receive a competitive salary package with extra-legal benefits, including a company car or mobility budget.
• Team Life: Take part in monthly Wacky Fridays with team events, dinners, and team-building activities.
• Work-life balance:We value your time outside the office, including one work-from-home day a week.
• Travel opportunities: Occasional travel to client sites, mission control centres, and industry events across Europe and beyond. xqknzec

Remote working/work at home options are available for this role.