AI Infrastructure Engineer - GPU HPC & Kubernetes Expert

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 seeking an experienced infrastructure engineer to design, deploy, and manage high-density GPU compute clusters for AI/ML workloads. You will optimize orchestration, tuning, and storage to ensure peak performance.

You will work with Kubernetes, Slurm, and Ray, implement IaC pipelines, monitor systems, and lead incident response for mission-critical environments. A strong Linux background and GPU/Networking expertise are essential.

Qualifications

• Linux system administration with kernel tuning and Bash/Python scripting.
• Deep understanding of GPU hardware architectures, CUDA runtimes, PCIe/NVLink.
• Hands-on experience with Kubernetes GPU operator and HPC schedulers (Slurm, Run:AI, Ray).
• Experience with RDMA (RoCE v2/InfiniBand), PFC, ECN configurations.
• Familiarity with high-IOPS, low-latency shared storage for AI datasets and checkpoints.
• Automation with Terraform and Ansible.
• Bachelor's Degree in CS/IT/CE or equivalent.
• 3–6+ years of infrastructure engineering, HPC, DevOps, or cloud infra.
• Certs like CKA/CKAD, NVIDIA/NVIDIA etc are a plus.

Responsibilities

• Architect, configure, and maintain GPU compute clusters for AI/ML workloads.
• Implement container orchestration platforms (Kubernetes, Slurm, Ray) optimized for distributed workloads.
• Monitor GPU health, telemetry, utilization, and thermals; minimize idle time.
• Design and optimize low-latency network fabrics and storage pipelines.
• Build and manage IaC pipelines using Terraform, Ansible, Helm, or Pulumi.
• Lead incident response, RCA, and disaster recovery for mission-critical AI environments.

Skills

Linux admin

Kernel tuning

Python

Shell scripting

GPU architecture

CUDA

RDMA

Networking

Education

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

Tools

Kubernetes

Slurm

Ray

Terraform

Ansible

NVIDIA HGX

Job description

The Supreme HR Advisory Pte. Ltd. is seeking an experienced infrastructure engineer to design, deploy, and manage high-density GPU compute clusters for AI/ML workloads. You will optimize orchestration, tuning, and storage to ensure peak performance.

You will work with Kubernetes, Slurm, and Ray, implement IaC pipelines, monitor systems, and lead incident response for mission-critical environments. A strong Linux background and GPU/Networking expertise are essential.