HPC & AI Platform Engineer – GPU Clusters

Era4

United Kingdom

Hybrid

GBP 95,000 - 130,000

Full time

14 days+

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Job summary

Era4 is seeking a Platform Engineer (HPC & AI) in the United Kingdom to shape a new Platform team. The role is customer facing, involves troubleshooting, and collaboration with vendor engineering teams to ensure seamless AI platform operations.

You will design, deploy, and manage large-scale HPC and GPU-accelerated clusters (NVIDIA). You will implement Slurm-based scheduling, optimize InfiniBand/Ethernet networks, and lead automation, monitoring, and incident response across multi-vendor stacks

Qualifications

Experience supporting AI/HPC infrastructure and platforms.
System administration experience with Linux (RHEL/CentOS, Ubuntu).
Proficiency with Ansible, Nvidia CUDA toolkits, Kubernetes; automation and security focus.

Responsibilities

Design, deploy, and manage large-scale HPC and GPU-accelerated clusters (NVIDIA).
Implement and administer HPC scheduling with GPU partitioning (e.g., Slurm).
Architect and optimise InfiniBand and Ethernet network topologies.
Ensure high availability and resilience with failover and maintenance planning.
Automate provisioning, configuration, monitoring, and workflows across multi-vendor stacks.
Monitor real-time performance and lead troubleshooting with vendor support.
Incident response: node/network/driver issues and escalation with vendors.
Security and access control: manage permissions, RBAC, data protection.