20 beste Stellen als platform engineer in nürnberg, by – aktuell auf Personalsuche

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platform engineer jobs near nürnberg, by

AI Inference Platform Engineer (m/f/d)

Friedrich-Alexander-Universität Erlangen-Nürnberg -
Erlangen

Jetzt bewerben

Details zur Stelle

Vollzeit

Leistungen

Flexible Arbeitszeiten

Qualifikationen

CI/CD
Torch
Rechenzentrum
Doktorat
Kubernetes
Softwareverteilung
Load balancing
Git
Master
Docker
JavaScript
Redis
SQLite
Cyber Security
Künstliche Intelligenz
GitLab
Python
NGINX
Data Science

Vollständige Stellenbeschreibung

Your Workplace

The Erlangen Regional Computing Center (RRZE) is FAU’s internal IT service provider and provides the IT infrastructure and basic IT services. As part of the regional concept, it also supports other colleges and universities in the surrounding area.

The High Performance Computing (HPC@FAU) group works closely with the National Supercomputing Center (NHR@FAU) and the Leibniz Supercomputing Center in Garching near Munich.

Benefits: We Have a Lot To Offer
Regular promotion to the next level and increase in salary pursuant to the collective bargaining agreement for the public service of the German Länder (TV-L) or remuneration pursuant to the Bavarian Public Servants Remuneration Act (BayBesG) plus an additional annual bonus

30 days annual leave at five working days per week with additional free days on December 24 and 31

Occupational pension scheme and asset accumulation savings scheme
Excellent support during the academic qualification phase

Thorough onboarding process with a dedicated team

Subsidized food and drinks in our student restaurants

Place of work within comfortable walking distance of public transport

Family-friendly environment with childcare options, also during school holidays

Flexible working hours

A wide range of training courses and opportunities for professional development

Active health management
Your Tasks

Your Role and Responsibilities:
Designing, implementing and maintaining an AI inference platform based on predominantly open-source components including a web-based user interface and API, all within a friendly and open work environment in a highly motivated, international team

Conceptualizing and implementing infrastructure components to create a RAG-capable inference environment

Advising and supporting pilot project partners of select universities using this AI service infrastructure in data quality, data preparation and workflow design to contribute to the transfer of prototypes into production, relying on your friendly personality and communication skills

Designing and implementing tenant separation concepts for access, data and compute, integrating with federated single sign-on (SSO) institutional identity management systems

Implementing resource management mechanisms to ensure fair and efficient resource allocation and to allow for usage accounting and cost attribution
Your Profile

Required/Minimum Qualifications

PhD or Master’s degree in computer or data science, or other areas of scientific computing,

Other Requirements

Proficiency working in data center environments (incl. Linux, CLI, Git, Gitlab)

Extensive knowledge and experience in developing and maintaining platform environments in the context of AI inference workflows, that is utilizing e.g.

web server / load balancer (e.g. Nginx), data bases (e.g. MariaDB, SQLite, Redis)

containers/OS-level virtualization (e.g. Docker) and container orchestration (e.g. Kubernetes), as well as HPC-based scheduler (e.g. Slurm)

monitoring tools for metric collection (e.g. Prometheus) and visualization (e.g. Graphana)

Python and JavaScript programming languages for development of frontend components (e.g. Open WebUI)

model gateway (e.g. LiteLLM) and inference engines (e.g. vLLM, Triton, SGLang) as well as underlying GPU-based technologies (e.g. torch, ray)

Knowledge of various types of AI models (e.g. LLMs, vision-language models, …), model guardrails and retrieval-augmented generation (RAG)

Willingness to keep up with current developments and to learn new technologies in the field of AI

Knowledge and experience in software deployment and software lifecycle management (ideally based on principles of continuous integration/continuous deployment, CI/CD)

Basic knowledge and practical skills in software design and engineering

Basic knowledge and practical skills in IT and cyber security for software and software platform development

English and German presentation and writing skills

Apply now

Apply now

Application deadline: 07.06.2026

Job start date 01.08.2026
Application deadline 07.06.2026
Location Regionales Rechenzentrum Erlangen
Martensstraße 1
91058 Erlangen
Payment TV-L E 13
Working time Full time
Weekly working hours 40,1 hours/week
Limitation Temporary employment: until 31.07.2029
Contact Thomas Zeiser
Email: [email protected]
Phone: +49 9131 85-28737
The application process

Apply online

Automatic confirmation of receipt sent by e-mail

Place of employment views applications

Invitation to first interview

2

Optional invitation to second interview in person at FAU

Is there a match?

Employment documents prepared

Consultation with Staff Council

Commencement of employment – welcome to FAU

Notice

For all job postings, the following applies: Friedrich-Alexander-Universität promotes equal professional opportunities for women. Women are therefore expressly encouraged to apply.

Severely disabled persons as defined by the German Severely Disabled Persons Act will be given preferential consideration if they have the same professional qualifications and personal aptitude and if the advertised position is suitable for severely disabled persons. Details can be found in the respective job posting under “Remarks.”

At the applicant’s request, the Equal Opportunities Officer may be included in the job interview without any disadvantage to the applicant.

All advertised positions are generally suitable for part-time work unless stated otherwise in the job posting.

Release date: 19.05.2026,

Jetzt bewerben

Erweiterte Suche

platform engineer Jobs in nürnberg, by

AI Inference Platform Engineer (m/f/d)

DevOps Engineer (f/m/d) Data & Platform Operations

Cloud Engineer / Cloud Admin Betrieb Palo Alto Platform (all gender)

Cloud Engineer / Cloud Admin für Betrieb Palo Alto Prisma Access (Secure Private Apps Access) (m/w/d)

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Software Engineer

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DevOps Engineer (w/m/d) Data & Platform Operations

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Research Assistant (all genders) - Speech and Audio Applications

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IT-Specialist Workload-Automation (m/f/d)

Cloud DevOps Engineer (all genders)

Teamhead Global Tech Enterprise Connectivity

Architect IT Operations (all genders)

Data & Integration Engineer (m/w/d)

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