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In this role, you will manage the Tier-3 HPC infrastructure, assist researchers with AI tools, administer cluster systems, and develop sustainable IT services for data-intensive applications.
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Your role in the team
- To support the newly established collaborative project “Lower Saxony Digital Science Support Space (DS³)” as part of Hochschule.digital Niedersachsen, we are looking for two dedicated employees with a proven interest in high-performance computing (HPC), artificial intelligence (AI), and the operation of the infrastructure and services required for these areas.
- The aim of the DS³ collaborative project, funded by the State of Lower Saxony, is to expand research-oriented IT infrastructures and services across universities in Lower Saxony. As one of the project’s key sites, LUIS will provide and operate a Tier 3 HPC infrastructure and support researchers in using it.
- You will work both independently and collaboratively in a team of experienced employees, focusing primarily on the following tasks:
- Project management and local coordination of the DS³ collaborative project at the LUIS site, as well as collaboration with the participating partner institutions in Lower Saxony.
- Setup, configuration, administration, and maintenance of LUIS’s Tier 3 HPC cluster, as well as its associated storage, GPU-accelerated hardware, and monitoring systems.
- Technical support and consulting for users and researchers on the efficient use of HPC resources, the deployment of AI tools and Large Language Models (LLMs), performance engineering, and the scaling of HPC computing processes and machine learning workloads.
- Contribute to the development and establishment of sustainable services for research-oriented IT infrastructure supporting data-intensive HPC and AI applications within the DS³ network.
- Creation of documentation materials for various target audiences and representation of the LUIS subproject in internal project working groups.
Our expectations of you
Education
- A completed university degree in a scientific discipline, preferably in a STEM field (or an equivalent qualification), together with relevant professional experience in HPC or AI, is a prerequisite for employment.
Qualifications
- A good knowledge of the scripting languages Python and Bash for automation, familiarity with modern monitoring solutions for cluster systems (e.g., Prometheus and Grafana), and a willingness to create precise technical documentation are required. Knowledge of higher-level programming languages, ideally C++, C, or Fortran, is desirable.
- Regular training helps you develop your personal skills in a targeted way.
- You are an open-minded person with strong communication skills, a solution- and goal-oriented approach, and a high degree of self-organization, resilience, and teamwork. Excellent written and spoken English and good German skills are required to provide the best possible support to our international users.
Experience
- Experience with Linux-based deployment of cluster technologies such as workload management systems (e.g., Slurm) and distributed file systems (e.g., NFS, Lustre) for data-intensive applications is required. Knowledge of object storage systems (e.g., Ceph, S3) is an advantage.
- You have knowledge of container technologies (e.g., Apptainer/Singularity) for deploying portable AI and HPC applications. Ideally, you also have experience with virtualization platforms (e.g., KVM, oVirt, OpenStack).
- Experience with configuration and management tools (e.g. Kickstart/PXE, EasyBuild, Pacemaker/Corosync, Puppet/Ansible) is expected. Practical experience with AI systems, deploying large language models on GPU-accelerated hardware, and knowledge of Git version control are an advantage.
What we offer
- We offer family-friendly and flexible working arrangements. Part-time work, remote work, and working from home are possible by agreement.
- We support work-life balance with emergency childcare and holiday childcare services, parent-child offices, and individual advice on family and caregiving responsibilities.
- As the data center of Leibniz University Hannover, we offer an interesting and varied workplace in a friendly and appreciative atmosphere.
- Excellent infrastructure and the Herrenhausen Gardens in the immediate vicinity enhance the appeal of our location near the city center, as does its easy accessibility by both public transport and car (free parking available).
Benefits
Work-Life-Integration
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About your employer
The "Höhere Gewerbeschule zu Hannover" was founded in 1831 with just 64 students by Karl Karmarsch and is today, thanks to more than 25,000 students interested in the natural and engineering sciences, the humanities and social sciences as well as law and economics, one of the recognized university.
- 1831
- Established Company
- Onsite, Hybrid
- Education System
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