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# Scientific Software Engineer

- **Company:** Göttingen Gmbh
- **Location:** Germany
- **Contract:** Permanent contract
- **Skills:** C (Programming Language), Python (Programming Language), Software Engineering, Gitlab, Real Time Data, Operational Systems, Data Pipelines, Docker
- **Published:** November 12, 2026
- **Apply:** https://www.arbeitsagentur.de/jobsuche/jobdetail/10000-1208614327-S

## About the Role

This position, within the Planetary Atmospheres research group and specifically within the Submillimetre Wave Instrument (SWI) project, offers a unique opportunity to contribute to both the technical and scientific challenges of space research on a cutting-edge planetary mission. We are looking for a candidate with a proactive and solution-oriented mindset who is willing to learn and apply new concepts and techniques.

We are seeking a highly motivated Scientific Software Engineer (f/m/d) to join our team, focusing on the development and integration of physics models into the SWI ground segment and science operations framework. These include hardware simulator as well as expected science data modeling. This role sits at the intersection of software engineering, data science, and instrument operations, offering a unique opportunity to shape how science data is processed, calibrated, and interpreted in real mission contexts., A PhD, MSc (or soon to be completed PhD) in Physics, Astronomy, Planetary Science, Applied Mathematics, or a related field, including science software engineering

 - A solid Python programming skills, C language, Docker and Gitlab familiarity
 - Proactive mindset, strong problem-solving skills, and the ability to work in a collaborative, interdisciplinary environment
 - Good command of spoken and written English

## Description

Maintain, enhance, and build upon existing SWI science operations tools and ground segment data pipeline (mostly Python)

 - Integrate these models into science operations workflows, enabling predictive simulations for observation planning and calibration
 - Contribute to the development of automated science operations systems, including scheduling, anomaly detection, and real-time data assessment
 - Collaborate closely with the SWI science team, mission operations, and software engineers to ensure seamless integration of models into the ground segment