HPC & AI Platform Engineer (GPU/Networking)

Carbon3ai Limited.; United Kingdom; Hybrid; GBP 90,000 - 120,000; Full time

Job summary

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

You will design, deploy and manage large-scale GPU-accelerated clusters using NVIDIA GPUs, Slurm, InfiniBand and high-availability practices, while automating provisioning, monitoring, and security.

Qualifications

• Experience supporting AI/HPC infrastructure and platforms such as HPE PCAI or similar.
• System administration with RHEL/CentOS, Ubuntu and kernel tuning.

Responsibilities

• Designing, deploying, and managing large-scale HPC and GPU-accelerated clusters, including NVIDIA compute environments.
• Implementing and administering Slurm and related resource-management workflows.
• Architecting and optimising InfiniBand and Ethernet topologies.
• Ensuring high availability with failover strategies and proactive maintenance.
• Automating provisioning, configuration, monitoring, and operational workflows across multi-vendor stacks.
• Monitoring real-time performance and leading troubleshooting with vendor support.

Skills

HPC infrastructure

NVIDIA GPUs

Slurm

Kernel tuning

Ansible

Kubernetes

CUDA toolkit

InfiniBand networking

RBAC security

Grafana/Kibana

Customer-facing

Vendor coordination

Tools

NVIDIA CUDA toolkit

Kubernetes

Ansible

Job description

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

You will design, deploy and manage large-scale GPU-accelerated clusters using NVIDIA GPUs, Slurm, InfiniBand and high-availability practices, while automating provisioning, monitoring, and security.