CareerPlan
Göttingen, NIEDERSACHSENRemoteFull-time2026-10-09 → 2026-11-09

Core

Design, implement, and optimize high-performance storage solutions tailored for AI and HPC workloads, including data lifecycle management and security.

Role type

Senior IC storage infrastructure engineer (AI/HPC)

Builds

Scalable, cost-effective storage architectures and data management strategies for large-scale AI datasets and HPC simulations.

Domain

High-Performance Computing (HPC) and Artificial Intelligence (AI)

Deliverable

production ML models

Required skills

HPC storage infrastructure, AI/ML data pipelines, containerization (Docker, Kubernetes), distributed storage (Ceph, MinIO, Lustre), data lifecycle management, data security and compliance (GDPR), scripting (Python, Bash), Linux/UNIX system administration

Preferred skills

AI-driven storage optimization, open-source HPC/AI frameworks (Slurm, Singularity, MLflow, Kubeflow), cloud storage platforms

Technologies

NVMe, SSD caching, Ceph, MinIO, Lustre, Docker, Kubernetes, Python, Bash, Linux/UNIX

Responsibilities

Design and optimize high-performance storage for AI/HPC, develop data management strategies for large-scale datasets, prototype AI-optimized storage systems, support SMEs in evaluating storage solutions, collaborate with data scientists on storage demands, provide technical advisory and training, monitor and benchmark storage performance

Seniority

Senior, hands-on IC