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Gesellschaft für wissenschaftliche Datenverarbeitung mbH, Göttingen
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Über Gesellschaft für wissenschaftliche Datenverarbeitung mbH, Göttingen
The GWDG is seeking one
AI Solutions Engineer (Customer Projects) (m/f/d)
to join an interdisciplinary team of HPC experts in the working group “Computing” (AG C) with a regular working week of 39 hours (100%).
The Gesellschaft für wissenschaftliche Datenverarbeitung mbH Göttingen (GWDG) is the university computing center for the Georg-August-Universität Göttingen and a computing and IT competence center for the Max Planck Society. The provision of high-performance HPC systems has been one of its tasks for over 40 years. In 2020, the University of Göttingen / GWDG was accepted as one of eight computing centers in the National High-Performance Computing (NHR) network. The GWDG operates the HLRN-IV system “Emmy”, one of the most powerful computers in the world.
As a national supercomputing center, the GWDG offers technical support to researchers and students from various science domains using sophisticated computer codes, including earth system science, life science, and engineering. We also participate in both national and international research projects. At the same time, we aim to improve our close collaboration with The German Aerospace Center (DLR), and specialized computing centers including the German Climate Computing Center (DKRZ) and the Institute for Advanced Simulation Jülich (IAS-JSC).
As part of our AI Service Center for Sensitive and Critical Infrastructure (KISSKI) we have created a number of AI-based services that offer high levels of security and privacy due to being processed on our own hardware. Moreover, as part of KISSKI and the EU AI Factory HammerHAI as well as due to our general efforts to increase the reach of our AI offerings, we collaborate with a number of customers including universities, public institutions and companies in order to explore the application of AI technologies to customer use cases.
The GWDG together with the Faculty of Mathematics and Computer Science and the Campus Institute Data Science (CIDAS) of the University of Göttingen provides a stimulating research environment in Scientific Computing, with an opportunity to conduct research in the intersection of applied computer science, High-Performance Computing, AI, and Machine Learning.
Aufgaben
- Responsibilities
- We have a wide range of potential responsibilities that we would like to discuss with you. Your responsibilities in our team could include, for example:
- Develop prototypes exploring how AI-based approaches can solve specific customer challenges (e.g., data analysis, automation)
- Collaborate directly with customers to gather requirements, clarify use cases, and iteratively refine prototypes based on feedback
- Integrate diverse technologies (databases, cloud services, ML frameworks) to build functional demos
- Design appropriate solutions to address customer use cases building upon our existing AI infrastructure
- Document prototypes for internal knowledge sharing and customer handover
Fähigkeiten
- Experience with Python
- Experience with application design and development
- Experience with Linux integration
- Excellent analytical skills
- Excellent problem-solving skills
- Ability to communicate technical concepts to non-technical customers
- Broad technical understanding to be able to judge what technologies to apply
- Fluent in written and spoken English
- Desirable
- Masters degree in Computer Science, Data Science, or a related technical field
- Experience with AI/ML product development
- Experience with customer-facing technical roles
- Experience with service-oriented user support
- Experience with DevOps practices including Git, Docker and CI/CD
- Exposure to HPC, scientific computing, or data-intensive domains
- Intermediate knowledge of German
Standort
Adresse
Göttingen, Deutschland