Global GPU Compute Infrastructure Engineer

Private Advertiser; Kuala Lumpur; On-site; MYR 120,000 - 180,000; Full time

Job summary

Private Advertiser is seeking an experienced Infra Engineer to lead on-site deployment and daily operations of AI compute centres and GPU clusters. You will work with senior architects to implement solutions, configure networks and storage, and handle escalation on hardware/software issues during AI training workloads.

The role requires readiness for frequent international travel and strong Linux, networking, and data centre infrastructure skills to ensure stable operations across projects.

Qualifications

• Degree or diploma in Computer Science, Information Technology, Computer Networking, Telecommunications, Electronic Engineering, or a related field.
• Strong foundation in Linux system administration and network troubleshooting.
• Experience with NVIDIA GPU infrastructure is advantageous.

Responsibilities

• Install, commission, deploy, go-live and operate AI compute centres, GPU servers and supporting infra.
• Participate in large-scale GPU cluster deployment including network configuration and storage mounting.
• Resolve basic hardware and software issues during AI training workloads.
• Collaborate with senior architects on equipment selection and solution implementation.
• Establish and maintain cluster monitoring, alerting and procedures.
• Coordinate with domestic and international suppliers and data centre operators to ensure on-time delivery.

Skills

GPU cluster deployment

NVIDIA GPUs

Linux system administration

Networking (100G/200G/400G)

Docker and Kubernetes basics

Data centre infrastructure

Incident handling and troubleshooting

Education

Bachelor/Diploma in CS/IT/EE

Tools

Docker

Kubernetes

Job description

Private Advertiser is seeking an experienced Infra Engineer to lead on-site deployment and daily operations of AI compute centres and GPU clusters. You will work with senior architects to implement solutions, configure networks and storage, and handle escalation on hardware/software issues during AI training workloads.

The role requires readiness for frequent international travel and strong Linux, networking, and data centre infrastructure skills to ensure stable operations across projects.