Server Engineer（AI Cluster/GPU）

PaleBlueDot AI; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

PaleBlueDot AI in Singapore is seeking an experienced HPC/AI cluster engineer to manage the full lifecycle of data center servers and lead deployment of GPU-accelerated resources. You will optimize performance, ensure stability, and maintain operations for large-scale HPC environments.

The role requires hands-on expertise with MPI/OpenMP, virtualization, benchmarking, and HPC file systems such as Lustre/GPFS, plus strong English communication. Singapore-based on-site position.

Qualifications

• 5+ years of experience building large-scale HPC clusters.
• Hands-on GPUs and thousands of GPUs; GPU hardware architecture experience.
• Proficient in parallel computing technologies MPI and OpenMP.
• Strong virtualization and containerization knowledge; HPC benchmarking experience (HPL/NCCL).
• Familiar with high-performance file systems such as Lustre/GPFS.
• HPC certifications are preferred.
• Professional working proficiency in English.

Responsibilities

• Manage the full lifecycle of data center servers, including design, deployment, performance tuning, and validation of HPC/AI clusters.
• Lead deployment of heterogeneous computing resources (GPUs/XPUs); optimize system performance and stability; monitor and maintain server operations.
• Prepare technical documentation, provide customer support, and develop automation scripts using Shell, Python, and Ansible.

Skills

GPU architecture

Parallel computing

MPI

OpenMP

HPC clusters

Automation scripting

Education

Bachelor's degree in a related field

Tools

Shell

Python

Ansible

Job description

• Manage the full lifecycle of data center servers, including design, deployment, performance tuning, and validation, as well as the implementation, operation, and maintenance of HPC/AI clusters.
• Lead the deployment of heterogeneous computing resources such as GPUs and XPUs, optimize system performance and stability, and monitor and maintain server operations.
• Prepare technical documentation, provide customer support, and drive the development of automation scripts using Shell, Python, and Ansible.

Key Requirements

• At least 5 years of relevant experience, with hands‑on expertise in building large‑scale HPC clusters with thousands of GPUs, GPU hardware architecture, and parallel computing technologies such as MPI and OpenMP.
• Strong proficiency in virtualization and containerization technologies, with experience in HPL and NCCL benchmarking and high‑performance file systems such as Lustre and GPFS.
• HPC‑related certifications are preferred.
• Professional working proficiency in English.