XCELLINK PTE. LTD. Hiring! Full Time HPC Engineer in Central Region (Singapore), Earn up to SGD 6,000 - Ricebowl

We are partnering with a industry leader in Singapore to hire experienced HPC Engineers. This role offers the opportunity to support large-scale High Performance Computing (HPC) environments that enable advanced research, AI, data analytics, engineering simulations, and other compute-intensive workloads.

You will be responsible for the design, deployment, administration, and optimisation of HPC infrastructure, including compute clusters, GPU platforms, parallel storage systems, and high-speed networking technologies.

Key Responsibilities

• Deploy, configure, and support HPC cluster infrastructure
• Administer workload management platforms such as Slurm, PBS Pro, or LSF
• Manage GPU computing environments and accelerator platforms
• Support and optimise parallel file systems including Lustre, BeeGFS, or GPFS/Spectrum Scale
• Maintain high-speed interconnect technologies such as InfiniBand and Omni-Path
• Deploy and manage HPC software stacks, including MPI, compilers, scientific libraries, and container technologies
• Monitor cluster utilisation, performance, storage capacity, and overall system health
• Implement automation and configuration management solutions using tools such as Ansible
• Support researchers and technical users in workload optimisation and resource utilisation
• Maintain technical documentation, operational procedures, and capacity planning records

Requirements

HPC Engineer (L2)

• 2-5 years of experience in Linux infrastructure, systems administration, HPC, or related environments
• Experience supporting large-scale Linux platforms and enterprise infrastructure
• Familiarity with job schedulers, storage systems, and networking concepts
• Knowledge of scripting and automation tools

Senior HPC Engineer (L3)

• 5-10 years of experience in HPC or large-scale distributed computing environments
• Strong expertise in cluster administration, performance tuning, and capacity planning
• Experience managing GPU-based computing environments
• Hands-on knowledge of parallel file systems and high-performance networking technologies
• Proven track record supporting mission-critical infrastructure

Preferred Technical Skills

• Linux (Red Hat, Rocky Linux, CentOS)
• Slurm, PBS Pro, LSF
• NVIDIA GPU Platforms
• MPI (OpenMPI, Intel MPI)
• InfiniBand, Omni-Path
• GPFS/Spectrum Scale, Lustre, BeeGFS
• Lmod, Spack, Singularity, Apptainer
• Ansible and infrastructure automation
• Performance monitoring and optimisation tools