AI Systems Engineer: GPU & HPC Clusters

runsun cloud pte ltd; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

RUNSUN CLOUD PTE LTD is seeking an experienced AI System Engineer to design, deploy, operate, and optimize AI training clusters, GPU computing platforms, and supporting infrastructure in Singapore. The role emphasizes Linux expertise, GPU environments, containers, and HPC architectures.

Responsibilities include deploying AI training clusters, managing NVIDIA GPUs, CUDA drivers, and Fabric Manager, plus Kubernetes orchestration, automation, and platform development.

Qualifications

• Bachelor's degree or above in Computer Engineering, Electrical Engineering, Telecommunications, or related fields.
• 3+ years of Linux administration experience; strong knowledge of Ubuntu, Rocky Linux, and RHEL; troubleshooting skills.
• Familiarity with CUDA, NCCL, NV Link, NV Switch, GPU Direct RDMA; understanding of distributed AI training architectures.
• Experience with NVIDIA GPU products H100, H200, B200, B300 and related tools (Fabric Manager, drivers).
• Hands-on Kubernetes, Docker, Helm; GPU scheduling and container runtimes; scripting in Shell and Python.

Responsibilities

• Deploy and operate AI training and HPC clusters.
• Install, configure, and optimize operating systems on GPU servers.
• Manage cluster resources and capacity.
• Perform system upgrades, patch management, and change implementation.
• Develop and maintain standardized operational procedures.
• Manage large-scale Linux environments and perform system performance tuning.
• Analyze system logs and kernel issues; troubleshoot stability problems.
• Manage user access and security policies.
• Manage NVIDIA GPU platforms; deploy CUDA, drivers, and Fabric Manager; troubleshoot GPU issues.
• Build and maintain Kubernetes clusters; support AI workload scheduling; ensure high availability.
• Monitor infrastructure health and performance; automate operations; improve efficiency.

Skills

Linux systems

GPU computing

Kubernetes

NVIDIA GPUs

CUDA/NVLink

Shell/Python

Docker

Networking

Storage

Automation tooling

Education

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

Tools

Kubernetes

Docker

Helm

NVIDIA CUDA drivers

NVIDIA Base Command Manager

Job description

RUNSUN CLOUD PTE LTD is seeking an experienced AI System Engineer to design, deploy, operate, and optimize AI training clusters, GPU computing platforms, and supporting infrastructure in Singapore. The role emphasizes Linux expertise, GPU environments, containers, and HPC architectures.

Responsibilities include deploying AI training clusters, managing NVIDIA GPUs, CUDA drivers, and Fabric Manager, plus Kubernetes orchestration, automation, and platform development.