Server Engineer（AI Cluster/GPU）

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

Job summary

PaleBlueDot AI, Inc. in Singapore seeks an experienced HPC/AI systems architect to manage the full lifecycle of data center servers and HPC clusters. You will deploy GPUs/XPUs, optimize performance, and drive automation with Shell, Python, and Ansible, while documenting solutions and supporting customers.

Strong background in HPC architectures and parallel computing is required; English proficiency is essential and HPC certifications are preferred.

Qualifications

• Minimum 5 years of relevant experience in building and operating large HPC clusters.
• Proficiency in virtualization and containerization with HPC workloads.
• Professional working proficiency in English; HPC certifications preferred.

Responsibilities

• Manage the full lifecycle of data center servers and HPC clusters (design, deployment, tuning, validation).
• Lead deployment of heterogeneous resources (GPUs/XPUs) and monitor system performance and stability.
• Prepare technical docs, provide customer support, and drive automation scripts using Shell, Python and Ansible.

Skills

HPC architectures

GPU cluster design

Parallel computing (MPI/OpenMP)

Large-scale HPC experience

Tools

Shell

Python

Ansible

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.