Slurm Jobs in Germany

In this role, you are responsible for managing the IT infrastructure, including server administration, network security, and data management. You configure Microsoft 365, maintain VPNs, and support research through robust IT operations.

In this role, you will provide 1st/2nd level support in Linux and participate in the planning and management of the HPC computing infrastructure, including CPUs, GPUs, and storage, along with CUDA and Slurm.

In this role, you manage the administration and optimization of HPC/AI cluster computing systems, perform software installations, and provide support and training for users while documenting best practices.

In this role, you will manage the daily administration of the HPC infrastructure, optimize resources, and automate workflows to ensure high availability and performance for simulation projects.

In this role, you will develop automated simulation pipelines and optimize application performance on our HPC infrastructure to enhance the efficiency of simulation teams.

In this role, you design and implement compute orchestration for a GPU-native cloud platform supporting AI workloads while maintaining existing systems and driving the design of new architectures.

In this role, you will develop an AI inference platform, implement infrastructure components, and support universities in data management and workflow design to transition prototypes into production.

In this role, you will develop administration tools, manage the HPC cluster, support scientific projects, and design resource billing to ensure optimal performance and availability.

In this role, you will manage the central HPC cluster based on Ceph, Kubernetes, and OpenStack, develop administration tools, and assist scientific projects in Data Science, HPC, and AI.

In this role, you are responsible for developing and optimizing AWS HyperPod clusters for GPU workloads. You create self-service tools, implement cluster stability strategies, and ensure efficient resource utilization.

In this role, you will develop robust Python tools and packages, manage cloud resources, optimize infrastructure for deep learning experiments, and lead projects for automating processes.

In this role, you will develop infrastructure-as-code environments, optimize ML models for distributed training, and manage GPU clusters in the cloud using modern tools and frameworks.