Job
- Level
- Experienced
- Job Field
- IT, System, DevOps
- Employment Type
- Full Time
- Contract Type
- Temporary employment
- Location
- Hanover
- Working Model
- Hybrid, Onsite
Job Summary
In this role, you will manage a Tier-3 HPC infrastructure, support researchers in using AI tools, and develop efficient software solutions for data-intensive applications.
Job Technologies
Your role in the team
- To support the newly established collaborative project "Lower Saxony Digital Science Support Space (DS³)" within the framework of Hochschule.digital Niedersachsen, we are seeking a dedicated employee with proven interest in the fields of High-Performance Computing (HPC), Artificial Intelligence (AI), and the operation of the infrastructure and services required for these areas.
- The goal of the cooperation project DS³, funded by the state of Lower Saxony, is the comprehensive expansion of research-oriented IT infrastructures and services at universities in Lower Saxony. As one of the key locations, LUIS will provide, operate, and support researchers in the use of a Tier-3 HPC infrastructure as part of the project.
- You work in a team of experienced employees, primarily working independently as well as collaboratively on the following tasks:
- Project management and local coordination of the joint project DS³ at the LUIS site, as well as collaboration with the involved partner institutions in Lower Saxony.
- Setup, configuration, administration, and maintenance of the Tier-3 HPC cluster at LUIS, as well as the associated storage, GPU-accelerated hardware, and monitoring systems.
- Technical support and consulting for users and researchers in the efficient use of HPC resources, deployment of AI tools and Large Language Models (LLMs), performance engineering, as well as scaling HPC computing processes and machine learning workloads.
- Participation in the development and establishment of sustainable services in the field of research-oriented IT infrastructure for data-intensive HPC and AI applications within the DS³ network.
- Creation of documentation material for various target groups as well as representing the LUIS subproject in internal project working groups.
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Our expectations of you
Education
- The prerequisite for employment is a completed university degree, preferably in a STEM field (or an equivalent qualification), with relevant professional experience in the HPC or AI environment.
Qualifications
- Knowledge of object storage systems (e.g., Ceph, S3) is an advantage.
- Good knowledge of scripting languages Python and Bash for automation, familiarity with modern monitoring solutions for cluster systems (e.g., Prometheus and Grafana), and willingness to create precise technical documentation are required.
- Knowledge of higher programming languages, ideally C++, C, or Fortran, is preferred in this context.
- You have knowledge of container technologies (e.g., Apptainer/Singularity) for deploying portable AI and HPC applications.
- Regular training sessions help you to specifically develop your personal skills.
- You are an open-minded person with good communication skills, who acts solution-oriented and goal-oriented, and possesses a high level of self-organization, resilience, and team spirit.
- Very good English and good German skills in spoken and written form are required to optimally support our international users.
Experience
- Experience in 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.
- 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 version control with Git are advantageous.
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What we offer
- The position is limited until June 30, 2030.
- We rely on family-friendly and flexible working time models.
- Part-time, mobile working, and home office are possible by arrangement.
- We support the reconciliation of family and work through services such as emergency childcare and holiday care, as well as parent-child offices, and provide individual advice on family and caregiving responsibilities.
- As the data center of Leibniz University Hannover, we offer an interesting and diverse workplace with a friendly and appreciative atmosphere.
- A good infrastructure as well as the Herrenhäuser Gardens in the immediate vicinity highlight our attractive location in the city center, as does the good accessibility by public transport and by car (free parking available).
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Benefits
Work-Life-Integration
Topics You Will Work On
Job Locations
About Your Employer
Leibniz Universität Hannover
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.
Description
- Founding Year
- 1831
- Company Type
- Established Company
- Working Model
- Hybrid, Onsite
- Industry
- Education System
IT staff for high-performance computing and artificial intelligence
- Location
- Hanover
- Working Model
- Hybrid, Onsite
- Diversity
- Open for all genders
