Careers

The High Performance Computing Center Stuttgart (HLRS) is the first national supercomputing center in Germany (since 1996). It operates one of the fastest supercomputers in the world and provides access to supercomputers for universities and research institutions as well as industrial partners. HLRS holds a worldwide leading position in the research areas of parallel computing, cloud computing and high-performance data analysis. HLRS is also significantly involved in international and national research projects.

HLRS offers a comprehensive range of training courses in the field of HPC, AI, and related technologies to scientists and experts from the university environment and research institutions but also from industry and small and medium-sized enterprises.

For our department "Training and Scalable Algorithms" (TASC) we are looking for a

Research Scientist / Training Expert (f/m/d) (100%, TV-L 13)
in the areas of Simulation/High Performance Computing/Artificial Intelligence
HLRS_02_2025

TASC is responsible for the development and organization of the HLRS training courses (https://www.hlrs.de/training), which are in high demand nationally and internationally. TASC runs and further develops existing courses, at the same time integrating new topics in HLRS’s training offer (e.g. artificial intelligence, hardware accelerators, quantum computing).

You will support our team in contributing to the project SiVeGCS: „Koordination und Sicherstellung der weiteren Verfügbarkeit der Supercomputing-Ressourcen des Gauss Centers for Supercomputing (GCS)” and at the same time shaping the HLRS’s training concept.

Your tasks:

• Autonomous research in the area of HPC and AI: Big data analytics, artificial intelligence, emerging computer architectures and domain-specific technologies.
• Analyzing and developing further the training curriculum of the Gauss Centre for Supercomputing (GCS, http://www.gauss-centre.eu) in cooperation with training experts at the federal high-performance computing centers in Garching near Munich (LRZ, https://www.lrz.de/) and Jülich (JSC, https://www.fz-juelich.de/de/ias/jsc).
• Development of new courses and modules that represent the current state of research.
• Teaching and support of participants in our courses.
• Creation, supervision and assessment of exercises and examinations.
• Strengthening the visibility of our course program (especially for industry).

Your qualifications:

• You have successfully completed a university degree in the area of engineering, natural sciences, mathematics, computer science, or a comparable qualification with a technical focus.
• You are experienced with AI workloads and have knowledge of AI frameworks and libraries (e.g. scikit-learn, TensorFlow, or PyTorch).
• You have good programming skills in at least one established high-level language (e.g. Python, C/C++, Fortran) and experience with parallel programming paradigms.
• You are familiar with Linux-based systems.
• Relevant experience in designing and conducting workshops or tutorials.
• Very good communication skills also towards large audiences. You enjoy interacting with people.
• You are able to work in a team; and at the same time, you can work independently and pragmatically.
• You are fluent in both German and English, written and spoken.

Ideally, your profile is supplemented by:

• Experience with software containers.
• Experience with batch and workload management systems, parallel file systems (e.g. Lustre), heterogeneous HPC clusters with GPUs, or FPGAs.
• Experience with content management systems such as Typo3.
• Experience with larger software packages such as the learning platform ILIAS.
• Experience with working in research projects (also EU-projects) and writing project proposals.

As a member of our team, you can expect:

• A professional working environment in a friendly, highly motivated and collaborative international team.
• Flexible working hours and 30 days paid leave per year (plus the public holidays in the state of BW, also 24. and 31.12.).
• The possibility of remote work (German: „ortsunabhängiges Arbeiten”) generally up to 60%. Workplace is the HLRS at the University of Stuttgart.
• Use of the wide range of training opportunities at HLRS, of personnel development (e.g. communication and teaching skills, languages, leadership) and of the sport facilities of the University of Stuttgart.
• The social benefits of the public service and an allowance for local public transport.

The position is temporary starting on a date to be agreed with the applicant, in accordance with the legal regulations. Employment in this position is limited to the duration of the SiVeGCS project, which is scheduled to run until 31.12.2032. Salary for this position is based on TV-L 13. When possible, HLRS is committed to supporting and retaining talented people even at the conclusion of projects. Before the project ends, HLRS will examine what possibilities might exist for extending your contract based on funding that is available at that time.

Are you interested?

Then we are looking forward to receiving your application! Your application should include a cover letter, your CV, your university degrees and relevant references.

Please send the application preferably by e-mail (as one PDF file) with the subject "HLRS_02_2025" to: bewerbungen(at)hlrs.de by February 2nd, 2025. For questions regarding the content of the job posting, please contact kurse(at)hlrs.de.

In an effort to strengthen the presence of female workers in the scientific areas, the University of Stuttgart invites women to apply for this job opening. Full-time positions may in general be turned into part-time positions. Disabled people will have priority as long as equally qualified. The recruitment process will be handled by the central administration of the University of Stuttgart. Information on the handling of applicant data in accordance with Art. 13 DS-GVO can be found at: http://www.uni-stuttgart.de/datenschutz/bewerbung/.