Systems Engineer/Administrator (m/f/d) for AI Service Infrastructure
Looking for an employer you can count on? Join us!
We are looking to expand our team and are hiring:
Systems Engineer/Administrator (m/f/d) for AI Service Infrastructure
Your Role and Responsibilities:
- Planning, deploying and operating an ever-growing AI service infrastructure for researchers and academic users as a member of a dedicated team within a friendly and open work environment
- Running the day-to-day operations of high-performance cluster systems focused on AI and Data Analytics applications & workflows, following best-practices of system administration, automation and monitoring
- Interacting with technology providers and developers (hardware/software) as well as national and European collaboration partners and projects
- You actively contribute to the development and implementation of certified and transparent processes.
Your Qualifications:
Required/Minimum Qualifications
- Master’s degree in computer science or other areas of scientific computing (e.g. physics, math), or Bachelor’s degree with multiple years (>3) of practical experience in system administration/engineering in research or enterprise environments
Other Requirements
- Proficiency working in data center environments (incl. Linux, Git, Gitlab)
- Advanced knowledge and experience in the administration/management of high-performance cluster systems for AI and Data Analytics, covering the majority of the following areas:
- Compute resources, including
- Accelerated server compute nodes (incl. GPUs)
- Job scheduling and resource management (with Slurm Workload Manager)
- Container orchestration (with Kubernetes)
- Low latency fabrics (incl. InfiniBand), Ethernet and additional networking technologies (DNS, Firewall, etc.)
- Fabric attached high-performance storage (e.g. GPFS, NFS, RDMA)
- Authentication/Authorization (incl. LDAP, Shibboleth)
- Compute resources, including
- Practical knowledge in architecting/designing, deploying and maintaining hardware and software systems based on components/technologies as listed above
- Experience using automated tools for deployment and configuration management (i.e. infrastructure as code, e.g. Ansible), but not afraid to script on CLI, either (e.g. Bash, Python, Perl)
- Knowledge and experience in software deployment and software lifecycle management (ideally based on principles of continuous integration/continuous deployment, CI/CD)
- Willingness to keep up with current developments and to learn new technologies in the field of AI
- Friendly contact with colleagues/collaboration partners, and, where necessary, with users in higher level support
- Excellent English and preferably German writing and presentation skills
- You like to share your experience and review existing processes to identify opportunities for improvement within the team.
Of course, we provide comprehensive onboarding for career starters and professionals returning to the workforce.
Additional or Preferred Qualifications:
- Knowledge of machine learning/AI applications, frameworks and methods
- Experience with IT security management within an ISO 27001-compliant framework, including process definition, risk management, release and deployment management, and patching
Conditions:
Working time
full time (40 hrs) / part-time possible flexible working model with electronic time recording
Contract duration
24 months, a further employment is intended
Remuneration
up to E 13, see Entgelttabelle TV-L
Annual leave / compensatory time off
30 days
(24.12. + 31.12. additionally day off)
Overtime is compensated by additional time off
Benefits
Up to 60% mobile work for suitable tasks, mostly two-person offices, bus and subway (U6) on the doorstep, free parking, pension plan of the Versorgungsanstalt des Bundes und der Länder (VBL), state-of-the-art work equipment, Cooperation Agreement with Sports Facility Providers for Discounted Membership
What you can expect at LRZ:
Are you looking for a multifaceted and intellectually stimulating position in a dynamic, cooperative and innovative work environment? Then LRZ is the place to be for you! Here at LRZ a collegial, appreciative work environment meets an international crowd of experts who work together to advance IT services for ground-breaking research. We offer flexible work schemes for an optimal work-life balance. Our staff values their creative leeway. As an institute of the Bavarian Academy of Science and Humanities we offer all the benefits of public service. And of course, no wishes remain unfulfilled at the LRZ in terms of technical equipment. We share experiences, constantly review and improve our processes, and are proud that our service-quality and data-security are regularly certified and rated highly.
We actively promote diversity and welcome applications from talented individuals, regardless of cultural background, nationality, ethnicity, gender and sexual identity, physical abilities, religion and age. We give priority to applications from people with disabilities who are equally qualified (SGB IX).
The LRZ in a nutshell:
Since 1962, Bavarian universities and research institutions have relied on the IT expertise of the Leibniz Supercomputing Centre of the Bavarian Academy of Sciences and Humanities. When it comes to the digital transformation of science, we are traditionally ahead of the game.
We are looking forward to receiving your complete application documents (including cover letter, CV and certificates) in a PDF file (other file types are not accepted) by latest 10.09.2026.
Subject: AI Systems Engineer/Administrator (2026/41)
Apply here: Personio
Are you unsure whether the job suits you or you suit us? Or do you still have questions about this position? Our colleagues will be happy to answer all your questions.
This job does not fit? Then take a look at https://www.lrz.de/en/careers/current-vacancies or send us an unsolicited application!
Here you will find information about the collection of personal data during the application process.