Storage Expert (m/f/d)

Salary: 55.000 - 75.000 € per year

Requirements:

Masters degree (or equivalent) in Computer Science, Electrical Engineering, Data Science, or a related field

Experience in HPC systems, storage infrastructure, and AI data engineering

Proven experience with high-performance storage technologies (e.g., Lustre, GPFS, Ceph, NFS, S3-compatible storage)

Strong knowledge of AI/ML data pipelines, including data ingestion, preprocessing, and model training workflows

Hands-on experience with containerization (Docker, Kubernetes) and orchestration tools in HPC/AI environments

Familiarity with cloud storage platforms

Experience in data lifecycle management, data versioning, and metadata management

Solid understanding of data security, privacy (GDPR), and compliance in AI applications

Excellent analytical and problem-solving skills

Excellent communication skills and ability to translate technical concepts for non-technical stakeholders

Very good German skills (C1)

Very good English skills (C1)

Willingness to travel on business

Desirable: Experience in research or innovation projects related to HPC, AI, or data infrastructure

Desirable: Knowledge of AI-driven storage optimization (e.g., predictive data placement, auto-tiering)

Desirable: Familiarity with open-source HPC/AI frameworks (e.g., Slurm, Singularity, MLflow, Kubeflow)

Desirable: Proficiency in scripting languages (Python, Bash) and system administration (Linux/UNIX)

Responsibilities:

Design, implement, and optimize high-performance storage solutions tailored for AI and HPC workloads

Conduct research on scalable, cost-effective storage architectures suitable for AI training and HPC simulations in resource-constrained environments

Develop and deploy data management strategies for large-scale AI datasets, including data lifecycle management, versioning, backup, and security (e.g., GDPR-compliant data handling)

Investigate and prototype AI-optimized storage systems leveraging technologies such as NVMe, SSD caching, and distributed storage (e.g., Ceph, MinIO, Lustre)

Support SMEs in evaluating and selecting appropriate HPC and AI storage solutions

Collaborate with data scientists and engineers to ensure storage systems meet the demands of AI model training, inference, and real-time processing

Develop best practice guidelines and toolkits for SMEs to manage AI/HPC data efficiently and securely

Provide technical advisory and training to SME teams on data storage, performance monitoring, and data governance

Monitor and benchmark storage performance, ensuring low latency, high throughput, and cost-efficiency for AI/HPC applications

Technologies:

AI

Bash

Cloud

Ceph

Docker

Support

Kubeflow

Kubernetes

Linux

Machine Learning

MLflow

Mobile

Model Training

NFS

Python

Security

Unix

Hardware

Network

More:

We are seeking a Storage Expert to join our interdisciplinary team of HPC experts in the Computing working group (AG C). This is a 39-hour-per-week position, suitable for part-time work, initially limited until 31 December 2029, with the prospect of long-term cooperation and the possibility of pursuing a doctorate. Remuneration follows the German public service collective agreement (federal government), with a possible grade of TVöD E 13 depending on qualifications. The Gesellschaft für wissenschaftliche Datenverarbeitung mbH Göttingen (GWDG) is the university computing center for the Georg-August-Universität Göttingen and an IT competence center for the Max Planck Society. We have provided high-performance HPC systems for over 40 years and operate the HLRN-IV system Emmy. As a national supercomputing center, we support researchers and students across scientific disciplines and participate in national and international research projects. The role is part of our AI Service Center for Sensitive and Critical Infrastructure (KISSKI), within the KISSKI-EvoKS subproject, and involves close collaboration with SME and startup customers, particularly those with demanding data-protection needs. We offer a stimulating research environment in Scientific Computing, with links to applied computer science, HPC, AI, and machine learning; flexible working hours and mobile working; a modern, diverse workplace; a committed team; opportunities for professional development; and public-sector social benefits. We welcome applications from all backgrounds and encourage applications from severely disabled people. The application deadline is 8 November 2026.

last updated 42 week of 2026