Dein persönlicher KI-Karriere-Agent
Research Software Engineer / Scientific Researcher(m/w/x)
Optimizing Earth System Model codes for heterogeneous HPC architectures. Master's and doctorate in STEM, with Fortran, C++, MPI, and OpenMP experience required. Flexitime and work-from-home options.
Anforderungen
- Master's degree and doctorate in atmospheric research, computer science, physics, engineering, or related field
- Strong knowledge of Fortran, C++, and Python
- Solid background in build engineering, Makefile development, compiler configurations, build optimization, and Linux-based HPC clusters
- Good software development practices, including Git, documentation, and CI/CD workflows
- Substantial experience with distributed- and shared-memory parallelization using MPI and OpenMP
- Additional background in developing for heterogeneous architectures (e.g., CUDA or ROCm) is advantageous
- Familiarity with modern deep learning frameworks (e.g., PyTorch or TensorFlow) is advantageous
- Familiarity with contemporary AI models, such as transformer-based models or convolutional neural networks, is advantageous
- Strong communication and presentation skills
- Ability and motivation to work effectively in a team
- Good written and spoken English skills
- German language skills are an advantage
Aufgaben
- Ensure sustainability of community ESM codes
- Enable adoption of modern HPC systems
- Improve high-performance computing of ESM codes
- Optimize ESM code performance
- Port ESM codes to heterogeneous HPC architectures
- Port ESM codes to GPU-accelerated systems
- Participate in model developments for Earth system simulation
- Support NHR ESM community software development
- Conduct user outreach for NHR ESM community
- Conduct research in atmospheric modeling
- Run ESM simulations
- Analyze ESM simulations
- Participate in scientific conferences
- Contribute to peer-reviewed publications
Ausbildung
- Master-Abschluss
Sprachen
- Englisch – verhandlungssicher
- Deutsch – Grundkenntnisse
Tools & Technologien
- Fortran
- C++
- Python
- Makefile
- Linux
- Git
- CI/CD
- MPI
- OpenMP
- CUDA
- ROCm
- PyTorch
- TensorFlow
Benefits
Weiterbildungsangebote
- Specific training
- Further qualification offers
Flexibles Arbeiten
- Flexitime
- Work from home
Gesundheits- & Fitnessangebote
- Sports and leisure offers
Kinderbetreuung
- Child and holiday care services
Öffi Tickets
- Job Ticket Baden-Württemberg contribution
Gratis oder Vergünstigte Mahlzeiten
- Canteen meals
Noch nicht perfekt?
- Laboratorium für Applikationen der Synchrotronstrahlung (LAS)Vollzeitmit HomeofficeBerufserfahrenEggenstein-Leopoldshafenab 62.000 - 71.300 / Jahr
- Institut für Nanotechnologie (INT)
Research Scientist LLM Agents and Semantic Data Processing in Materials Science(m/w/x)
Vollzeitmit HomeofficeKeine AngabeEggenstein-Leopoldshafen - Laboratorium für Applikationen der Synchrotronstrahlung (LAS)
Akademische Mitarbeiter:in - Informatik, Mathematik(m/w/x)
VollzeitBefristeter Vertragmit HomeofficeBerufserfahrenEggenstein-Leopoldshafenab 62.000 - 71.300 / Jahr - Institut für Nanotechnologie (INT)
Mitarbeiter:in in der Wissenschaft(m/w/x)
VollzeitBefristeter Vertragmit HomeofficeKeine AngabeEggenstein-Leopoldshafen - Fraunhofer-Gesellschaft
Teamleitung Scientific Computing & AI/HPC-Infrastruktur(m/w/x)
Vollzeit/TeilzeitBefristeter Vertragmit HomeofficeSeniorKarlsruhe
Research Software Engineer / Scientific Researcher(m/w/x)
Optimizing Earth System Model codes for heterogeneous HPC architectures. Master's and doctorate in STEM, with Fortran, C++, MPI, and OpenMP experience required. Flexitime and work-from-home options.
Anforderungen
- Master's degree and doctorate in atmospheric research, computer science, physics, engineering, or related field
- Strong knowledge of Fortran, C++, and Python
- Solid background in build engineering, Makefile development, compiler configurations, build optimization, and Linux-based HPC clusters
- Good software development practices, including Git, documentation, and CI/CD workflows
- Substantial experience with distributed- and shared-memory parallelization using MPI and OpenMP
- Additional background in developing for heterogeneous architectures (e.g., CUDA or ROCm) is advantageous
- Familiarity with modern deep learning frameworks (e.g., PyTorch or TensorFlow) is advantageous
- Familiarity with contemporary AI models, such as transformer-based models or convolutional neural networks, is advantageous
- Strong communication and presentation skills
- Ability and motivation to work effectively in a team
- Good written and spoken English skills
- German language skills are an advantage
Aufgaben
- Ensure sustainability of community ESM codes
- Enable adoption of modern HPC systems
- Improve high-performance computing of ESM codes
- Optimize ESM code performance
- Port ESM codes to heterogeneous HPC architectures
- Port ESM codes to GPU-accelerated systems
- Participate in model developments for Earth system simulation
- Support NHR ESM community software development
- Conduct user outreach for NHR ESM community
- Conduct research in atmospheric modeling
- Run ESM simulations
- Analyze ESM simulations
- Participate in scientific conferences
- Contribute to peer-reviewed publications
Ausbildung
- Master-Abschluss
Sprachen
- Englisch – verhandlungssicher
- Deutsch – Grundkenntnisse
Tools & Technologien
- Fortran
- C++
- Python
- Makefile
- Linux
- Git
- CI/CD
- MPI
- OpenMP
- CUDA
- ROCm
- PyTorch
- TensorFlow
Benefits
Weiterbildungsangebote
- Specific training
- Further qualification offers
Flexibles Arbeiten
- Flexitime
- Work from home
Gesundheits- & Fitnessangebote
- Sports and leisure offers
Kinderbetreuung
- Child and holiday care services
Öffi Tickets
- Job Ticket Baden-Württemberg contribution
Gratis oder Vergünstigte Mahlzeiten
- Canteen meals
Über das Unternehmen
Scientific Computing Center (SCC)
Branche
IT
Beschreibung
The company performs tasks related to research, teaching, and innovation and provides comprehensive services within KIT and to external parties.
Noch nicht perfekt?
- Laboratorium für Applikationen der Synchrotronstrahlung (LAS)
Academic Staff Member – Computer Science, Mathematics(m/w/x)
Vollzeitmit HomeofficeBerufserfahrenEggenstein-Leopoldshafenab 62.000 - 71.300 / Jahr - Institut für Nanotechnologie (INT)
Research Scientist LLM Agents and Semantic Data Processing in Materials Science(m/w/x)
Vollzeitmit HomeofficeKeine AngabeEggenstein-Leopoldshafen - Laboratorium für Applikationen der Synchrotronstrahlung (LAS)
Akademische Mitarbeiter:in - Informatik, Mathematik(m/w/x)
VollzeitBefristeter Vertragmit HomeofficeBerufserfahrenEggenstein-Leopoldshafenab 62.000 - 71.300 / Jahr - Institut für Nanotechnologie (INT)
Mitarbeiter:in in der Wissenschaft(m/w/x)
VollzeitBefristeter Vertragmit HomeofficeKeine AngabeEggenstein-Leopoldshafen - Fraunhofer-Gesellschaft
Teamleitung Scientific Computing & AI/HPC-Infrastruktur(m/w/x)
Vollzeit/TeilzeitBefristeter Vertragmit HomeofficeSeniorKarlsruhe