System Engineer(HPC)

Tap Growth ai; Singapore; On-site; SGD 80,000 - 120,000; Full time

Job summary

Tap Growth ai in Singapore is seeking a System Engineer (HPC) to administer and operate large Linux-based HPC clusters, storage, and networking. You will support researchers and enterprise workloads, ensuring high performance and reliability.

The role involves managing HPC schedulers, file systems, and data lake solutions, with on-call rotations as required and collaboration with AI/DL teams.

Qualifications

• Experience operating large-scale Linux HPC clusters.
• Knowledge of HPC storage and high-speed networking.
• Familiarity with HPC job schedulers (Slurm, PBS Pro, LSF).
• Able to support research scientists and enterprise workloads.

Responsibilities

• Administer, operate, and maintain Linux-based HPC clusters including storage and networking.
• Manage HPC schedulers and parallel file systems.
• Support data lake solutions and storage management.
• Perform monitoring, patching, upgrades, and capacity planning.
• Troubleshoot hardware, software, OS, and network issues in HPC environments.
• Participate in on-call or escalation rotations as required.
• Collaborate with software engineers on AI/DL applications and assist users.

Skills

Linux HPC

Analytical skills

Troubleshooting

Communication skills

Team player

Explain complex topics

Education

ITIL Foundation or equivalent

RHCSA or equivalent

Tools

Slurm

PBS Pro

LSF

Lustre

GPFS / Spectrum Scale

BeeGFS

Data Lake (VAST)

DMF

Job description

We're Hiring: System Engineer (HPC)!

Location: Singapore, Singapore

Work Mode: Work from Office

Role: System Engineer (HPC)

JD

Certification Required

• ITIL Foundation or equivalent or higher
• Red Hat Certified System Administrator (RHCSA) or equivalent or higher

Role Purpose

Client is seeking an experienced HPC Systems Engineer (or Senior HPC Systems Engineer, depending on experience) to support and operate large-scale Linux-based high-performance computing (HPC), storage, and networking environments. This role supports research scientists, academic users, and enterprise workloads, ensuring reliable, secure, and high-performance HPC operations.

HPC Systems Operations

• Administer, operate, and maintain Linux-based HPC clusters, including compute, storage, and high-speed networking.

Manage and Support

• HPC job schedulers (e.g. Slurm, PBS Pro, LSF)
• Parallel file systems (Lustre, GPFS / Spectrum Scale, BeeGFS)
• Data Lake solutions (e.g. VAST)
• Hierarchical Storage Management (HSM) (e.g. Data Management Framework – DMF)
• Cluster management and provisioning tools
• Perform system monitoring, patching, upgrades, and capacity planning.
• Troubleshoot and resolve hardware, software, OS, and network issues across HPC environments.
• Participate in on-call or escalation support rotations as required.
• Work with software engineers to support AI/DL applications and with desktop engineers to assist users as needed.
• Provide advice and guidance to researchers on HPC application development, debugging, optimization, and parallelization.
• Deliver HPC user training sessions and contribute to documentation and best-practice guides.

Key Performance Indicators

• Meet all SLA requirements for incident and service request handling.
• Comply with all policy and contract requirements.

Attributes

• Strong analytical and troubleshooting skills
• Highly motivated and self-driven
• Collaborative team player
• Excellent written and verbal communication skills
• Ability to explain complex technical topics to non-technical usersCommitment to continuous learning and knowledge sharing