AI Systems Infra Engineer - Multi-GPU HPC

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 to design and operate large GPU-accelerated compute clusters and optimize AI/ML workflows within a demanding data-center environment.

You will implement container orchestration with Kubernetes and Slurm, tune Linux systems, monitor NVIDIA GPUs, and build automated pipelines with Terraform and Ansible. A strong background in HPC, networking, and fast storage is essential.

Qualifications

• Bachelor's Degree in Computer Science, Information Technology, Computer Engineering, or equivalent practical experience.
• 3-6+ years hands-on experience in infrastructure engineering, HPC, DevOps, or cloud infrastructure.
• Deep expertise in Linux systems administration, kernel tuning, and shell scripting.
• Strong understanding of GPU hardware architectures, CUDA runtimes, PCIe/NVLink.
• Certifications (CKA/CKAD, NVIDIA, AWS/Azure/GCP) are a plus.

Responsibilities

• Architect, configure, and maintain high-density multi-GPU compute clusters (NVIDIA HGX/DGX).
• Implement and manage container orchestration platforms optimized for AI/ML distributed workloads.
• Monitor GPU health, telemetry, utilization, and thermals; minimize idle compute time.
• Design and optimize low-latency networks and storage for AI data pipelines.
• Automate deployment pipelines with Terraform/Ansible; maintain golden images.
• Lead incident response and RCA for mission-critical AI environments.

Skills

Linux administration

Kernel tuning

Shell scripting

GPU architectures

CUDA

PCIe/NVLink

Kubernetes

Slurm

Ray

RDMA

InfiniBand

PFC

Lustre

Ceph

GPFS

Terraform

Ansible

Kernel parameters

Education

Bachelor's degree in Computer Science, Information Technology, Computer Engineering, or equivalent practical experience

Tools

Kubernetes

Slurm

Ray

Terraform

Ansible

Helm

Pulumi

Job description

The Supreme HR Advisory Pte. Ltd. is seeking an AI Infrastructure Engineer to design and operate large GPU-accelerated compute clusters and optimize AI/ML workflows within a demanding data-center environment.

You will implement container orchestration with Kubernetes and Slurm, tune Linux systems, monitor NVIDIA GPUs, and build automated pipelines with Terraform and Ansible. A strong background in HPC, networking, and fast storage is essential.