AI GPU Cluster Engineer

runsun cloud pte ltd; Singapore; On-site; SGD 100,000 - 160,000; Full time

Job summary

runsun cloud pte ltd seeks an experienced AI Hardware Engineer to design, deploy, validate, and troubleshoot AI training clusters, GPU servers, networking, and storage infrastructure in a Singapore data center. You will work on server hardware, GPU platforms, and high-speed networking to support large-scale AI/HPC environments.

The role involves on-site deployment, diagnostics, and automation, with on-call rotation and potential short business trips.

Qualifications

• Bachelor's degree or higher in Computer/Electrical/Telecommunications or related fields.
• Strong Linux administration and independent troubleshooting capability.
• Experience with AI/HPC clusters and GPU platforms is preferred.

Responsibilities

• Deploy, validate, and maintain AI GPU servers.
• Perform hardware diagnostics and component replacement.
• Analyze system logs, BMC logs, and hardware alerts.
• Manage server hardware lifecycle.
• Deploy and validate NVIDIA GPU platforms; troubleshoot GPU-related issues; perform benchmarking and stress tests.
• Configure high-speed networking and support storage for AI clusters.
• Develop automation scripts for health checks, deployment, and log collection.

Skills

Linux administration

Troubleshooting

Scripting

Education

Bachelor's degree or above in Computer/Electrical/Telecommunications or related fields

Tools

HGX/DGX platforms

BMC/IPMI

NVIDIA GPU platforms

CUDA/NCCL

Job description

runsun cloud pte ltd seeks an experienced AI Hardware Engineer to design, deploy, validate, and troubleshoot AI training clusters, GPU servers, networking, and storage infrastructure in a Singapore data center. You will work on server hardware, GPU platforms, and high-speed networking to support large-scale AI/HPC environments.

The role involves on-site deployment, diagnostics, and automation, with on-call rotation and potential short business trips.