Cloud Engineer (m/f/x, scientific employee)

The High-Performance Computing Centre Stuttgart (HLRS) was founded as Germany's first federal high-performance computing (HPC) centre. It operates one of the fastest supercomputers in the world. It offers various HPC solutions and services for universities, research institutions, and industry. Furthermore, HLRS is a worldwide leader in engineering and global system sciences. Staff scientists at HLRS investigate emerging technologies such as Artificial Intelligence (AI), Cloud Computing, and Quantum Computing (QC) towards realising hybrid workflows and lowering the hurdle for non-experts using HPC technologies. In this context, HLRS is significantly involved in international and national research projects across the abovementioned research areas.

Federation of High-Performance Computing (HPC)

InHPC-DE is a project aimed at further integrating the three German national HPC centres that comprise the Gauss Centre for Supercomputing (GCS). The project's overarching goal is to create user-centric services for supercomputing that enable consistent technical and organisational use of HPC and prepare the production systems for future usage. A key aspect of this project's predecessor was evaluating and adopting Gaia-X, a European initiative for a federated and secure data infrastructure, with HPC. As a result, dedicated Cloud infrastructures distributed across the three HPC centres were put into operation to explore the potential of Gaia-X in the context of high-performance computing. This includes developing new operating concepts for GCS systems and obtaining feedback from test users.

Integration of Cloud Technologies into HPC

A particular focus is on integrating cloud technologies into the HPC landscape to meet the growing demands of the AI community and other scientific disciplines. The increasing complexity of AI models, hybrid workflows, and new application areas such as quantum computing and edge computing requires a flexible and scalable infrastructure. By integrating cloud technologies into HPC, we want to:

• Increase flexibility and scalability: dynamically adapt resources to meet demands.
• Improve accessibility: offer HPC services to a wider range of users.
• Foster innovation: develop new operating models and services that are coming with the uptake of AI workloads on HPC systems.

In this context, we are looking for a

Cloud Engineer
(100 %, m/f/x, up to TV-L 13, scientific employee)
HLRS_16_2024

to work with us on these topics in the context of the project InHPC-DE.