HPC Engineer

About the Job:
The company is a technology service provider and a leading outsourced partner specializing in delivering professional and managed solutions across EMEA. We are seeking an experienced Senior Infrastructure HPC Engineer who has a proven track record in designing, deploying, configuring, and operating components of a large-scale high-performance computing environment.

Key Responsibilities:

• Design, deploy, and maintain HPC clusters end-to-end, including compute nodes, storage tiers, high-speed networking (InfiniBand / RoCE), and management fabric.
• Provision and administer NVIDIA Base Command Manager (BCM) for bare-metal cluster imaging, OS lifecycle, and GPU fleet health monitoring.
• Deploy and manage the full NVIDIA AI Enterprise Suite, including installation, licensing, updates, and integration with MLOps pipelines (NeMo, Triton, RAPIDS).
• Operate NVIDIA GPU Operator and Network Operator on Kubernetes for automating driver and CUDA lifecycle, DCGM exporter, and MIG configuration.
• Configure and serve NVIDIA NIM inference endpoints and implement NVIDIA Blueprint reference architectures for production AI workloads.
• Install, administer, and tune Slurm for various parameters such as partitions, QOS, fair-share policies, node accounting, and MPI integration.
• Bootstrap and operate Kubernetes clusters with kubeadm, ensuring control plane HA, etcd backup, and zero-downtime upgrades.
• Administer RHEL / Canonical Ubuntu across all cluster nodes.
• Build and maintain CI/CD pipelines (GitLab CI / GitHub Actions) for infrastructure provisioning and HPC software delivery.
• Profile and tune GPU and CPU workload performance while resolving bottlenecks across hardware, drivers, MPI fabric, and application layers.
• Implement cluster monitoring using Prometheus, Grafana, and DCGM, defining alerting and capacity planning thresholds.
• Enforce security best practices including node hardening, kernel patching, RBAC, and compliance audits across the HPC environment.