GPU HPC Infra Engineer for AI Clusters

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 AI Infrastructure Engineer in Singapore to architect and maintain high-density GPU compute clusters, optimize distributed AI workloads, and drive automation across deployment pipelines.

You will pair with AI/ML teams to monitor performance, scale storage, and ensure low-latency networking for distributed training. Minimum 3–6+ years in infra engineering, HPC, or DevOps is expected, with strong Linux, GPU, and Kubernetes expertise.

Qualifications

• Linux systems administration, kernel tuning, and shell scripting (Bash/Python).
• GPU hardware architectures, CUDA runtimes, and PCIe/NVLink knowledge.
• Kubernetes GPU operator and HPC schedulers (Slurm, Run:AI, Ray).
• High-speed networking: RDMA, RoCE v2, InfiniBand; storage for AI data.
• IaC: Terraform and configuration management with Ansible.
• Bachelor’s degree in CS/IT/Engineering or equivalent.
• 3–6+ years of hands‑on infra engineering, HPC, DevOps, or cloud infra.
• Certifications such as CKA/CKAD, NVIDIA certs, AWS/Azure/GCP are a plus.

Responsibilities

• Compute & Cluster Management: Architect, configure, and maintain high-density multi-GPU compute clusters (NVIDIA HGX/DGX).
• Container orchestration: Implement and manage Kubernetes, Slurm, or Ray optimized for AI/ML workloads.
• Monitor GPU health, telemetry, utilization, and thermals; minimize idle compute time and prevent bottlenecks.
• High-Performance Networking & Storage: Design and optimize low-latency fabrics and scalable storage (Lustre, Ceph, MinIO).
• Automation & IaC: Build and manage deployment pipelines using Terraform, Ansible, Helm, or Pulumi; maintain golden images and kernel tuning.
• Operations, Observability & Performance: Set up monitoring dashboards (Prometheus, Grafana, DCGM); diagnose bottlenecks; lead RCA and DR activities.

Skills

Linux systems administration

Kernel tuning

Shell scripting (Bash/Python)

GPU compute understanding

Distributed computing concepts

Observability

Incident response

NVIDIA GPU internals

Education

Bachelor’s Degree in Computer Science, Information Technology, Computer Engineering, or equivalent

Tools

Kubernetes

Slurm

Ray

Terraform

Ansible

Helm

Pulumi

Prometheus

Grafana

NVIDIA SMI/DCGM

Job description

The Supreme HR Advisory Pte. Ltd. is seeking an AI Infrastructure Engineer in Singapore to architect and maintain high-density GPU compute clusters, optimize distributed AI workloads, and drive automation across deployment pipelines.

You will pair with AI/ML teams to monitor performance, scale storage, and ensure low-latency networking for distributed training. Minimum 3–6+ years in infra engineering, HPC, or DevOps is expected, with strong Linux, GPU, and Kubernetes expertise.