AI Infrastructure Technical Expert — Data Center (GPU / HPC)

Company description

The source describes an AI technology company building GPU infrastructure for finance, healthcare and research. Its claims about products and customers are reproduced from the published ad and have not been independently verified.

Role overview

Take technical ownership of GPU data center operations in Indonesia, maintain AI training/inference workloads and act as the local infrastructure specialist while working with global engineering and algorithm teams.

Key responsibilities

Maintain and optimize AI platform servers and GPU clusters.

Protect availability and stability; identify and reduce operational risks.

Respond to incidents and investigate complex data center hardware and system failures.

Coordinate with vendors, facilities and infrastructure partners.

Set operating procedures and plan capacity with global teams.

The source contains the phrase ‘properly poisoned’ in a performance sentence; it appears to be a typo and is flagged for owner correction rather than silently rewritten.

Requirements

Eight to fifteen years in data center operations, HPC, GPU compute or related fields.

Deep hands-on knowledge of NVIDIA GPU clusters and large-scale HPC; production AI workload support.

Troubleshooting across hardware and systems; high-density server rack experience.

Fluent written and spoken English; willingness to relocate and work long-term in Indonesia; availability for critical 24/7 incident response.

Why this role

The source describes a first on-site infrastructure expert role, high visibility, modern GPU technology, international collaboration and relocation support; compensation/equity wording remains as published and unverified. The original advertisement also mentions relocation assistance.