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Scientific Software & Research Platform Engineer (m/w/x)
Designing, executing, and validating experiments with multi-sensor data for diagnostic modeling. Quantitative modeling and independent research experience required. Outstanding career prospects, company pension scheme.
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Anforderungen
- Background in physics, applied mathematics, or quantitative/scientific field
- Strong track record of independent research
- Quantitative modeling experience
- Hands-on scientific investigation
- Experimental design experience
- Analysis of complex real-world instrument/experimental data
- Experience developing research software
- Translating scientific insights into diagnostic, predictive, or decision-support tools
- Comfortable working directly with physical instruments
- Deploying and validating software in controlled lab/production environments
- Scientific Software Engineering
- Clean APIs development
- Modular design principles
- Testing practices
- Reproducible research workflows
- Data analysis and visualization
- SQL/NoSQL and file-based data systems
- Diagnostic modeling
- Experiment tracking
- Model/version management
- Strong Linux/Bash skills
- CI/CD experience
- Containerization experience
- Server/cluster execution experience
- Familiarity with C++/Rust is a plus
- Ability to install, configure, troubleshoot, and validate research software
- Translate manual processes into documented workflows
- Translate manual processes into increasingly automated workflows
- Full professional English proficiency
Aufgaben
- Design, execute, and validate experiments using instrument, multi-sensor, and multi-modal data.
- Develop and evaluate algorithms for diagnostic and failure-mode modeling.
- Turn exploratory analyses and prototypes into reusable research tools and reproducible experiment frameworks.
- Manage data versioning, metadata, experiment tracking, and scalable execution from laptops to clusters.
- Build safe programmatic interfaces to instrument control software, firmware, and test stands, including autonomous agentic workflows.
- Package, install, and validate new iterations in lab and production environments.
- Collaborate with researchers, Production Engineering, IT/Operations, and Support for reliable and traceable deployment.
Berufserfahrung
Ausbildung
Sprachen
Tools & Technologien
Benefits
- Outstanding career and development prospects
- Company pension scheme
- Exciting company culture
Von Nejo automatisch aufbereitet
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