• Design, develop, and validate satellite payload data processing algorithms and applications.
• Collaborate with remote sensing experts, scientists and engineers to translate mission requirements into robust software solutions.
• Contribute to the full processing chain from raw satellite data to higher-level Earth Observation products.
• Ensure software quality through testing, documentation and version control best practices.
• Support the integration of applications into operational processing environments.
• Stay up to date with emerging technologies, programming methods and trends in the space industry.

Do you have experience in XML?, Do you have a Master's degree?, Welcome to Space: We are looking for a Scientific Software Developer with a background in Remote Sensing and Earth Observation or similar fields!

Candidates should possess an in-depth understanding of the physics relevant to Earth Observation missions, ideally supported by practical experience. A strong affinity for software development is essential. The successful candidate will work as part of a team of remote sensing specialists to design and implement satellite payload data processing applications for major institutional Earth Observation programs as well as commercial "NewSpace" ventures.

This full-time and permanent position with an immediate starting date is based at our headquarters in Darmstadt. Working language is English., * Master's degree in Physics, Engineering, Computer Science, Remote Sensing, or another relevant discipline.

• A PhD in a relevant discipline would be advantageous.

Essential Skills

• Strong background in scientific software development, remote sensing and algorithm design.
• In-depth understanding of the physics relevant to Earth Observation missions (e.g., radiometry, spectroscopy, radar, atmospheric physics).
• Practical experience with satellite data exploitation or remote sensing algorithm development.
• Proficiency in Python, ideally including Jupyter notebooks, version control (Git) and collaborative workflows.
• Familiarity with scientific computing libraries and data processing frameworks (e.g., NumPy, xarray, GDAL, rasterio).
• Ability to work effectively within an interdisciplinary team and communicate complex technical topics clearly.
• Familiarity with Linux environments and shell scripting.
• Organised and methodical working style, with strengths in analysis, synthesis, and presentation.
• Proficiency in English (spoken and written).

Desirable Skills

• Hands-on experience with containerization technologies (Docker, Kubernetes).
• Experience with cloud-based computing and parallelization.
• Familiarity with common data formats (e.g., XML, netCDF, HDF, COG, Zarr).
• A curious and proactive attitude towards problem solving and exploring new technologies.
• Previous experience working in the space industry.