AI HPC Systems Engineer — GPU Clusters & Kubernetes

OneAsia Network Limited; Hong Kong; On-site; HKD 600,000 - 900,000; Full time

Job summary

OneAsia Network Limited is seeking an AI System Analyst to bridge IT infrastructure, systems engineering, and AI Operations for deploying HPC-based AI workloads. The role focuses on GPU clusters, model runtimes, and production deployment pipelines to keep LLM services running reliably.

You will work with clients to deploy and scale AI workloads on Slurm and Kubernetes, troubleshoot containerized microservices, and optimize performance.

Qualifications

• Bachelor’s degree or higher in CS/IT or related field.
• 2–5 years in Linux systems administration, DevOps, HPC engineering, or cloud infrastructure operations.
• Hands-on Kubernetes infrastructure experience including container deployment and automation.
• Deep learning frameworks, GPU optimization, and Slurm knowledge.

Responsibilities

• Support clients in deploying and scaling AI workloads on HPC clusters using Slurm and Kubernetes.
• Configure, troubleshoot, and optimize containerized AI microservices (Docker, Kubernetes, vLLM).
• Assist with fine-tuning, training, and serving open-weight and enterprise models.

Skills

Kubernetes

Docker

Slurm

GPU optimization

Python

Linux systems

DevOps

Container orchestration

NVIDIA Container Toolkit

Cloud infrastructure

Education

Bachelor’s degree or higher in CS/IT

Tools

Kubernetes

Docker

Helm

NVIDIA Container Toolkit

Job description

OneAsia Network Limited is seeking an AI System Analyst to bridge IT infrastructure, systems engineering, and AI Operations for deploying HPC-based AI workloads. The role focuses on GPU clusters, model runtimes, and production deployment pipelines to keep LLM services running reliably.

You will work with clients to deploy and scale AI workloads on Slurm and Kubernetes, troubleshoot containerized microservices, and optimize performance.