HPC Cluster Engineer / Linux Specialist

Role Overview

We are hiring a Linux infrastructure specialist to join a core High-Performance Computing (HPC) team. You will support and evolve simulation and R&D compute platforms used by internal Engineering teams.

This is a technically broad role where you’ll touch on Linux infrastructure, cluster orchestration, automation, monitoring, and some hands-on hardware support. You'll join a small, senior team with high autonomy and end-to-end responsibility over the HPC platform.

Key Responsibilities

• Administer and optimize Linux-based HPC clusters (Ubuntu, CentOS, RHEL-family)
• Manage workload scheduling with Slurm
• Support containerized workloads using Docker and Singularity
• Implement and manage infrastructure-as-code via Ansible and Terraform
• Support GPU-accelerated workloads (NVIDIA, CUDA)
• Monitor system health and performance using Grafana, Prometheus, and related tools
• Troubleshoot hardware and perform physical support tasks (rack/stack, diagnostics, cabling)
• Collaborate with internal researchers and engineers to support and improve workload performance
• Contribute to documentation and help mature internal platform standards and practices

- Operating Systems: Ubuntu, CentOS, RHEL derivatives (Rocky, Alma)

- Schedulers: Slurm (primary), OpenOnDemand (optional)

- Containers: Docker, Singularity

- Automation: Ansible, Terraform, Bash, Python

- Monitoring: Grafana, Prometheus, custom metrics

- HPC Filesystems: Lustre (required), GPFS, Ceph (optional)

- Hardware: Server maintenance, rack/stack, troubleshooting

- Collaboration: Git, Jira, CI/CD pipelines


Ideal Candidate Profile

• 5+ years of Linux system administration experience, including in performance-sensitive environments
• Experience supporting or operating HPC clusters (Slurm, Lustre)
• Scripting ability in Bash and Python
• Hands-on automation experience with Ansible and Terraform (or equivalents)
• Familiarity with containerization and job isolation (Docker/Singularity)
• Comfortable with infrastructure observability tools and performance tuning
• Proactive, autonomous, and able to collaborate across teams and functions
• Fluent in English (spoken and written)

Nice to Have

• Experience with Bright Cluster Manager or other cluster deployment tools
• Exposure to distributed file systems (e.g., Ceph)
• Familiarity with OpenOnDemand or other HPC frontend tools
• Understanding of GPU scheduling (CUDA/NVIDIA)
• Cloud exposure (AWS, Azure, or GCP)

While preferably we are looking for a Full-Time Employee (FTE), exceptions can be made for the right candidate if they would rather work as a freelancer (Contractor).

Here is a list of benefits:

- Meal vouchers

- Pension scheme (2%)
- Hospitalization Insurance
- Remote work allowance (60€/month)