GPU Compute Infrastructure Engineer

INFERACT SINGAPORE PTE. LTD.; Singapore; On-site; SGD 167,000 - 335,000; Full time

Benefits offered by this job

Equity

Medical, dental, and vision coverage

Job summary

Inferact Singapore PTE. LTD. is seeking a hands-on cluster administration engineer to own and operate high-performance GPU compute infrastructure that powers vLLM development and testing.

You will ensure health, availability, and observability of clusters across providers, enabling engineers to build and iterate rapidly. Responsibilities include GPU health monitoring, incident response, and coordinating with leadership to standardize provisioning, operation, and scaling.

Qualifications

• Bachelor's degree or equivalent in computer science, engineering, systems administration, or similar.
• Hands-on experience administering large compute clusters, HPC environments, university or research clusters, supercomputing systems, or production GPU clusters.
• Strong Linux systems administration fundamentals across networking, processes, storage, package management, shell scripting, logs, access control, and system debugging.
• Experience operating GPU servers, including driver management, GPU health monitoring, node failures, memory errors, scheduler issues, and hardware diagnostics.

Responsibilities

• Own cluster health and GPU availability end-to-end.
• Monitor, alert, and diagnose issues across HPC and GPU clusters.
• Standardize provisioning, operation, and scaling across providers.
• Collaborate with engineering leadership to improve compute infrastructure.

Skills

Linux administration

Cluster management

Shell scripting

Python

GPU server management

Education

Bachelor's degree in CS/Engineering

Tools

SLURM

Kubernetes

Ansible

Terraform

Helm

Job description

Inferact Singapore PTE. LTD. is seeking a hands-on cluster administration engineer to own and operate high-performance GPU compute infrastructure that powers vLLM development and testing.

You will ensure health, availability, and observability of clusters across providers, enabling engineers to build and iterate rapidly. Responsibilities include GPU health monitoring, incident response, and coordinating with leadership to standardize provisioning, operation, and scaling.