IT employee for High Performance Computing and Artificial Intelligence in the joint project ''Lower Saxony Digital Science Support Space (DS3)'' (m/f/d)

In order to support the newly built joint project “Lower Saxony Digital Science Support Space (DS3)” within the framework of the university.digital Lower Saxony, we are looking for a dedicated employee with proven interest in the areas of high-performance computing (HPC), artificial intelligence (AI) and the operation of the necessary infrastructure and services. The aim of the cooperation project DS3 funded by the Land of Lower Saxony is the comprehensive expansion of research-related IT infrastructures and services at Lower Saxony universities. As one of the main sites, the LUIS will provide, operate and support the researchers in their use as part of the project. You work in a team of experienced employees both independently and jointly on the following tasks: Project management and local coordination of the DS3 joint venture at LUIS and cooperation with the participating partner institutions in Lower Saxony. Construction, configuration, administration and maintenance of the LUIS animal 3-HPC cluster and associated storage, GPU-accelerated hardware and monitoring systems. Technical support and advice from users and researchers in 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. Cooperation in building and establishing sustainable services in the field of research-related IT infrastructure for data-intensive HPC and AI applications within the DS3 network. Creation of documentation material for different target groups and the representation of the LUIS subproject in project-internal working groups.

A prerequisite for the recruitment is a completed academic degree, preferably in an MINT course (or a comparable qualification) with relevant professional experience in the HPC or AI environment. Experience in Linux-based use of cluster technologies such as workload management systems (e.g. Slurm) and distributed file systems (e.g. NFS, Lustre) for data-intensive applications is assumed. Knowledge in the area of object storage systems (e.g. Ceph, S3) is advantageous here. Good knowledge of the script languages Python and Bash for automation as well as familiarity with modern monitoring solutions for cluster systems (e.g. Prometheus and Grafana) and the willingness to create precise technical documentation are assumed. Knowledge in higher programming languages, ideally C++, C or Fortran, are desirable. You have knowledge of container technologies (e.g. Apptainer/Singularity) to provide portable AI and HPC applications. Ideally, you can also experience virtualization platforms (e.g. KVM, oVirt, OpenStack). Experience in handling configuration and management tools (e.g. Kickstart/PXE, EasyBuild, Pacemaker/Corosync, Puppet/Ansible) is expected. Practical experience with AI systems, the deployment of Large Language Models on GPU-accelerated hardware as well as knowledge in the Git version management are advantageous here. Regular training helps you develop your personal skills in a targeted manner. You are an open-minded person with good communicative skills, act in a solution-oriented and goal-oriented manner and bring a high self-organization, resilience and team capacity. Very good knowledge of English and good German in word and writing are required to provide optimal care for our international users. Leibniz Universität Hannover is committed to equal opportunities and diversity. The goal is to use the potential of all and to open opportunities. We therefore welcome applications from all interested parties, regardless of their gender, nationality, ethnicity, religion or belief, disability, age, sexual orientation and identity. We are aiming for a uniform distribution of employees and a reduction of the underrepresentation within the meaning of the Niedersächsisches Gleicherlaubnissgesetz (NGG). We are therefore pleased, if women apply for the above-mentioned job. People with a severe disability are preferred with the same qualification.

We rely on family-friendly and flexible working time models. Part-time, mobile work and home office are possible by agreement. We support the reconciliation of family and profession with offers of child care and holiday care as well as parent-child offices and advise individually on family and care tasks. As a data center of Leibniz Universität Hannover, we offer an interesting and varied workplace with a friendly and value-adding atmosphere. A good infrastructure as well as the mansion gardens in the immediate vicinity underline our attractive location in the city centre, as well as the good accessibility both by public transport and by car (free parking available). .