Server Engineer（AI Cluster）

PaleBlueDot AI; Singapore; On-site; SGD 120,000 - 170,000; Full time

Job summary

PaleBlueDot AI seeks a seasoned HPC/AI systems engineer to own the full lifecycle of data center servers, from design to validation and ongoing maintenance of HPC/AI clusters.

You will deploy heterogeneous resources (GPUs, XPUs), optimize performance, and lead virtualization/ containerization efforts while building automation with Shell, Python, and Ansible; strong documentation and customer support skills are essential.

Qualifications

• 5+ years of experience building large HPC clusters with thousands of GPUs.
• Strong expertise in GPU architecture and parallel computing (MPI, OpenMP).
• Proficiency in virtualization and containerization; benchmarking and HPC FS (Lustre/GPFS).
• HPC certifications are preferred and English proficiency is required.

Responsibilities

• Manage the full lifecycle of data center servers, including design, deployment, performance tuning and validation for HPC/AI clusters.
• Lead deployment of heterogeneous computing resources (GPUs, XPUs) and optimize system performance and stability.
• Prepare technical documentation, provide customer support, and drive automation with Shell, Python and Ansible.

Skills

HPC clusters

GPU architecture

MPI

OpenMP

Shell scripting

Python

Ansible

virtualization

containerization

NCCL benchmarking

Lustre/GPFS

Tools

MPI

OpenMP

NCCL

Lustre

GPFS

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.