AI Infrastructure Engineer – Multi-GPU HPC & Kubernetes

The Supreme HR Advisory Pte. Ltd.; Singapore; On-site; SGD 56,000 - 78,000; Full time

Job summary

The Supremehr Advisory Pte Ltd is hiring an AI Infrastructure Engineer to design, deploy, and operate high-density GPU compute clusters for AI training and inference. You will optimize GPU data paths, monitor performance, and collaborate with AI/ML teams on distributed workloads.

You will implement container orchestration and HPC schedulers (Kubernetes, Slurm, Ray) with IaC practices, ensuring scalable, low-latency infrastructure and robust disaster recovery in a fast-paced environment.

Qualifications

• Bachelor's degree in Computer Science, IT, Computer Engineering or equivalent practical experience.
• 3–6+ years hands-on infra/HPC/DevOps or cloud infrastructure experience.
• Certifications such as CKA/CKAD or cloud architect certificates are a plus.

Responsibilities

• Architect, configure, and maintain high-density multi-GPU compute clusters (e.g. NVIDIA HGX/DGX).
• Implement and manage container orchestration platforms optimized for AI/ML workloads.
• Monitor GPU health, telemetry, utilization, and thermals; reduce idle compute time.
• Design and optimize low-latency networks and parallel storage for AI data pipelines.
• Build automated deployment pipelines using Terraform, Ansible, Helm, or Pulumi.
• Lead incident response, RCA, and disaster recovery for mission-critical AI environments.

Skills

Linux systems administration

Shell scripting

HPC/DevOps

Infrastructure monitoring

Education

Bachelor's degree in CS/IT/CE or equivalent

Tools

Kubernetes

Slurm

Ray

NVIDIA CUDA

RoCE/InfiniBand

Lustre/Ceph

Terraform

Ansible

Job description

The Supremehr Advisory Pte Ltd is hiring an AI Infrastructure Engineer to design, deploy, and operate high-density GPU compute clusters for AI training and inference. You will optimize GPU data paths, monitor performance, and collaborate with AI/ML teams on distributed workloads.

You will implement container orchestration and HPC schedulers (Kubernetes, Slurm, Ray) with IaC practices, ensuring scalable, low-latency infrastructure and robust disaster recovery in a fast-paced environment.