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Jobbeschreibung

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.

• Access to latest AI and high-performance computing hardware (GPUs, CPUs, AI accelerators)
• Contact with technology providers and developers (hardware/software)
• National and European collaboration partners and projects
• Friendly and open work environment in a highly motivated, international team
• Opportunities to develop your own ideas

• Proficiency working in Linux environments
• Advanced or at least basic knowledge in the majority of these areas:
  1. Administration/Management of High Performance Systems (for AI and Data Analytics) which includes amongst others
     • Accelerated Server Compute Nodes (e.g. GPUs)
     • Workload Management/Scheduling (e.g. Slurm)
     • Low latency fabrics (e.g. InfiniBand) and Ethernet
     • Fabric attached high-performance storage (e.g. GPFS, NFS, RDMA)
  2. Authentication/Authorization (e.g. LDAP, Shibboleth, Keycloak, etc.)
• Comfortable 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)
• Practical knowledge in architecting/designing, deploying and maintaining software and hardware systems based on components/technologies as listed above
• Friendly contact with colleagues/collaboration partners, and, where necessary, with users in higher level support
• Good German and/or English writing and presentation skills
• Master University degree in computer or other areas of scientific computing (e.g. physics, math), or at least Bachelor degree in a related field of computer science with 3 years of practical experience in system administration/engineering

Preferred Qualifications:

• Git, GitLab, CI/CD
• Machine Learning/AI: Application, frameworks, methods
• OS-level virtualization/containerization (e.g. Docker, Enroot, etc.)

Area

AI and Big Data, HPC

Working time

full time (40 hrs) / part-time possible

flexible working model with electronic time recording

Term of the contract

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

Further trainings

Individual support for in-service training and further education

Mobile work

up to 60% of work time, when applicable

Benefits

e.g. 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

What can you find with us?

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).

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