AI Training Cluster Hardware Engineer

RUNSUN SERVICE PTE. LTD.; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

RUNSUN SERVICE PTE. LTD. seeks an experienced AI Hardware Engineer to support design, deployment, validation, and troubleshooting of AI training clusters, GPU servers, networking, and storage infrastructure.

The ideal candidate will possess strong expertise in server hardware, GPU platforms, high-speed networking, and data center infrastructure to support large-scale AI/HPC environments. The role requires hands-on Linux, scripting, and on-site operational capabilities, with readiness for on-call

Qualifications

• Bachelor's degree or above in Computer Engineering, Electrical Engineering, Telecommunications, or related fields.
• Strong knowledge of x86 server architecture.
• Experience with NVIDIA GPU products (H100, H200, B200, B300).
• Familiar with CUDA, NCCL, NVLink, NVSwitch and GPU Direct RDMA.
• Strong Linux administration skills (Ubuntu, Rocky Linux) and scripting (Shell, Python).

Responsibilities

• Deploy, validate, and maintain AI GPU servers.
• Analyze system logs, BMC logs, and hardware alerts.
• Participate in AI/HPC cluster deployment and validation.
• Configure and maintain high-speed networking and distributed storage.
• Develop automation scripts for hardware health checks and deployment.
• Participate in on-call rotation and occasional business trips.

Skills

Linux administration

Python scripting

Shell/Bash scripting

x86 server architecture

NVIDIA GPU platforms

NVIDIA Grace CPU

Networking (TCP/IP, InfiniBand, RoCE)

BMC/IPMI management

On-call readiness

Education

Bachelor's degree in Computer Engineering, Electrical Engineering, Telecommunications, or related fields

Tools

HGX

DGX

GB200 NVL72

GB300 NVL72

CUDA

NCCL

GPU Direct RDMA

Job description

RUNSUN SERVICE PTE. LTD. seeks an experienced AI Hardware Engineer to support design, deployment, validation, and troubleshooting of AI training clusters, GPU servers, networking, and storage infrastructure.

The ideal candidate will possess strong expertise in server hardware, GPU platforms, high-speed networking, and data center infrastructure to support large-scale AI/HPC environments. The role requires hands-on Linux, scripting, and on-site operational capabilities, with readiness for on-call