AI Cluster Hardware Engineer - Commissioning & On-Site Ops

Firmus Technologies Pty Ltd.; City of Launceston; On-site; AUD 120,000 - 160,000; Full time

Job summary

Firmus Technologies seeks a Hardware Engineer to help deploy, test, and operate large AI clusters (thousands of GPUs) in demanding data center environments. The role covers hardware installation, remediation, network cabling, and system validation, with close collaboration with vendors and operations teams.

The candidate will work hands-on across compute, network, and storage components, and must be able to travel domestically and internationally as needed, with a focus on reliability and safety.

Qualifications

• Minimum 3 years in a similar hardware role, hands-on IT equipment maintenance and repair.
• Familiarity with Linux and command-line troubleshooting.
• Able to work independently and as part of a team.
• Willingness to travel domestically and internationally for deployments.
• Must have an unrestricted driver’s license.

Responsibilities

• Support deployment, commissioning, and remediation of AI clusters with thousands of GPUs, high‑speed networks, and storage.
• Assist site teams during commissioning, testing, and equipment setup.
• Perform hardware installation, repair, and remediation in data centers.
• Handle network cabling and integration tasks.
• Diagnose server, GPU, storage, and networking issues; collect logs for analysis.
• Execute hardware validation and acceptance tests; verify firmware and configurations.
• Maintain documentation and service records; communicate with project teams.

Skills

3+ years experience

Linux familiarity

Team player

Driver's license

Flexible hours

Job description

Firmus Technologies seeks a Hardware Engineer to help deploy, test, and operate large AI clusters (thousands of GPUs) in demanding data center environments. The role covers hardware installation, remediation, network cabling, and system validation, with close collaboration with vendors and operations teams.

The candidate will work hands-on across compute, network, and storage components, and must be able to travel domestically and internationally as needed, with a focus on reliability and safety.