Systems Engineer/Administrator (m/f/d) for AI Service Infrastructure

Leibniz-Rechenzentrum der Bayer. Akad. d. Wissenschaften; Garching bei München; Hybrid; EUR 75.000 - 105.000; Vollzeit

Benefits dieser Stelle

Up to 60% remote work

Free parking

Pension plan (VBL)

State-of-the-art equipment

Sports facility discounts

Zusammenfassung

Leibniz-Rechenzentrum der Bayer. Akad. d. Wissenschaften sucht einen Systems Engineer/Administrator (m/f/d) für AI-Service-Infrastruktur.

Sie planen, implementieren und betreiben eine wachsende AI-Service-Infrastruktur für Forscher und akademische Nutzer in einem freundlichen Umfeld. Sie arbeiten an HPC-Clustern, führen automatisierung und Monitoring durch und arbeiten eng mit Partnern zusammen. Sie verfügen über einen Master in Informatik oder vergleichbare Qualifikation und besitzen fundierte

Qualifikationen

• Master’s degree in computer science or related field, or equivalent experience.
• Extensive experience in system administration/engineering in research or enterprise environments.
• Proficiency with Linux, Git, Gitlab, and HPC cluster management.

Aufgaben

• Plan, deploy, and operate AI service infrastructure for researchers.
• Run day-to-day operations of high-performance cluster systems for AI and data analytics.
• Collaborate with hardware/software providers and national/European partners.
• Contribute to certified, transparent processes and best practices.

Kenntnisse

Linux

Git

Gitlab

Kubernetes

Slurm

Ansible

Bash

Python

CI/CD

Networking

InfiniBand

Ausbildung

Master’s degree in computer science or related field

Bachelor’s degree with 3+ years of experience

Tools

Kubernetes

Slurm Workload Manager

GPFS/NFS

LDAP/Shibboleth

Ansible

Gitlab

InfiniBand Networking

Jobbeschreibung

Looking for an employer you can count on? Join us!

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.

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)
• 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.

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-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.

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