Storage Expert (m/f/d)

Responsibilities

We have a wide range of potential responsibilities that we would like to discuss with you. Your responsibilities in our team could include, for example:

• 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 security
• 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

• Master’s 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
• Knowledge of AI-driven storage optimization (e.g., predictive data placement, auto-tiering)
• Familiarity with open-source HPC/AI frameworks (e.g., Slurm, Singularity, MLflow, Kubeflow)
• Proficiency in scripting languages (Python, Bash) and system administration (Linux/UNIX)

Our offer

Job posting no. 20261009 Remuneration is in accordance with the collective agreement for the German public service (federal government); depending on qualifications, the position will be grade TVöD E 13. The position is suitable for part-time work and initially limited till 31rd December 2029. The GWDG strives for long-term cooperation. If interested, there is the possibility of a doctorate.

• Flexible working hours and opportunity for mobile working
• A modern, diverse, and exceptional work environment with close proximity to academia and research at the intersection of several innovative technology sectors
• An interesting, versatile job in a large, internationally operating IT competence center
• Collaboration in a competent and committed team
• Qualification and further development of your skills
• Social benefits of the public sector

The GWDG strives for gender equity and diversity and therefore welcomes applications from any background. The GWDG strives to employ more severely disabled people. Applications from severely disabled persons are expressly encouraged.