Slurm Administration & Systems Architecture

Overview

We are seeking a highly skilled HPC / AI / ML Cluster Engineer to support the design, deployment, and ongoing operations of large-scale HPC environments powered by Slurm. This role centers on cluster engineering, administration, and performance optimization, with emphasis on GPU-accelerated computing, advanced networking, and workload scheduling. In this role, you will work closely with our researchers, vendors, and partners to manage Slurm clusters that are used for AI / ML workloads.

Responsibilities

Cluster Engineering & Deployment

• Participate in the design and bring-up of bare metal HPC / AI / ML environments
• Architect compute node definitions (NUMA, GRES GPU topologies, CPU pinning) and Slurm partitioning strategies for diverse workloads.
• Integrate heterogeneous hardware platforms into cohesive scheduling environments.
• Develop provisioning and imaging workflows (Ansible, MAAS, cloud-init, CI / CD pipelines) for reproducible cluster build-out.
• Coordinate communications between vendors, researchers, and other partners during cluster bring-up and operation.

Slurm Management

System Administration & Monitoring

User & Stakeholder Support

Qualifications