Senior AI Infra Engineer — GPUs, HPC & Kubernetes

THE SUPREME HR ADVISORY PTE. LTD.; Singapore; On-site; SGD 56,000 - 78,000; Full time

Job summary

THE SUPREME HR ADVISORY PTE. LTD. is hiring an AI Infrastructure Engineer in Singapore to architect and maintain high-density GPU compute clusters and optimize AI/ML workloads. The role covers cluster design, network and storage optimization, and automation via IaC tools.

You will collaborate with AI/ML teams to diagnose bottlenecks, manage GPU drivers and CUDA libraries, and ensure reliability in distributed training environments.

Qualifications

• Linux systems administration expertise with kernel tuning and scripting.
• Hands-on GPU hardware knowledge and CUDA runtimes.
• Experience with GPU orchestration and HPC schedulers (Kubernetes GPU operator, Slurm, Ray).
• Networking and storage for AI data pipelines; RDMA/InfiniBand knowledge is a plus.

Responsibilities

• Architect, configure, and maintain high-density multi-GPU compute clusters.
• Implement and manage container orchestration platforms optimized for AI/ML workloads.
• Monitor GPU health, telemetry, utilization, and thermals; minimize idle compute time.
• Design and optimize low-latency networks and scale storage for AI datasets.
• Build automated deployment pipelines using Terraform, Ansible, Helm, or Pulumi.
• Lead incident response and DR planning for AI environments.

Skills

Linux admin

Kernel tuning

Shell scripting

GPU architectures

Kubernetes

Slurm

Ray

Terraform

Ansible

PCIe/NVLink

Education

Bachelor’s Degree in CS/IT/Engineering

Tools

Kubernetes

Slurm

Ray

Terraform

Ansible

NVIDIA GPUs / HGX

Job description

THE SUPREME HR ADVISORY PTE. LTD. is hiring an AI Infrastructure Engineer in Singapore to architect and maintain high-density GPU compute clusters and optimize AI/ML workloads. The role covers cluster design, network and storage optimization, and automation via IaC tools.

You will collaborate with AI/ML teams to diagnose bottlenecks, manage GPU drivers and CUDA libraries, and ensure reliability in distributed training environments.