Infrastructure Engineer

Logical; Melbourne; Hybrid; AUD 120,000 - 180,000; Full time

Benefits offered by this job

Hybrid work model

Job summary

Logical in Melbourne is seeking an Infrastructure Engineer to join a pioneering GPU infrastructure team building national AI workloads. You’ll operate at the physical layer, racking, cabling, deploying and maintaining GPU compute nodes and storage in a Melbourne data centre.

You’ll work hands-on with NVIDIA GPUs, high-density fiber, and lifecycle management, collaborating with Network and AI Ops engineers to bring nodes into production and scale to 24/7 operations.

Qualifications

• Hands-on hardware experience in a data centre or similar environment.
• Strong Linux admin skills and familiarity with IPMI/iDRAC/iLO.
• Understanding of storage (NVMe, SAN, NAS), networking, and data centre power/cooling.
• Experience with firmware management, diagnostics and vendor RMA processes.
• GPU/HPC experience with NVIDIA is highly valued.

Responsibilities

• Deploy, rack, cable and maintain GPU servers, compute nodes and storage across a Melbourne data centre facility.
• Support new environment build-outs, including high-density and fibre cabling and commissioning of large-scale NVIDIA GPU clusters.
• Handle hardware troubleshooting, firmware upgrades and lifecycle management.
• Deploy network and fabric hardware, including switches and fibre diagnostics.
• Work with Network and AI Ops engineers to bring compute nodes into production.
• Provide Level 2 support and help shape 24/7 operations, including runbooks and on-call processes.
• Manage hardware incidents and RMAs with tier-one vendors.
• Pick up infrastructure-as-code and automation skills as the team grows.

Skills

Hands-on hardware

Linux administration

Data centre operations

NVIDIA GPUs

Troubleshooting

Vendor RMAs

Job description

Are you a hands-on hardware specialist who loves being close to the metal? I’m partnering with an Australian sovereign AI cloud provider that’s building some of the country’s most advanced GPU infrastructure, and they’re looking for an Infrastructure Engineer to join their foundational team in Melbourne.

This is a rare chance to get in early with a fast-growing business backed by major industry partners, working on real GPU clusters, real AI factories and real customers. If you’ve come from a hyperscaler, large-scale data centre operator or enterprise compute environment and want to take the next step, this one’s worth a conversation.

The role

You’ll be at the physical layer of the build: racking, cabling, deploying and maintaining the GPU compute nodes, servers and storage that power national AI workloads. Day to day, you’ll:

• Deploy, rack, cable and maintain GPU servers, compute nodes and storage across a Melbourne data centre facility
• Support new environment build-outs, including high-density and fibre cabling and commissioning of large-scale NVIDIA GPU clusters
• Handle hardware troubleshooting, firmware upgrades and lifecycle management
• Deploy network and fabric hardware, including switches and fibre diagnostics
• Work with Network and AI Ops engineers to bring compute nodes into production
• Provide Level 2 support and help shape the move to 24/7 operations, including runbooks and on-call processes
• Manage hardware incidents and RMAs with tier-one vendors
• Pick up infrastructure-as-code and automation skills as the team grows

What you’ll bring

• Hands-on enterprise server experience in a data centre, ideally from a hyperscaler, major operator or large enterprise
• A methodical, first-principles approach to troubleshooting and strong documentation habits
• Working Linux admin skills and experience with IPMI, iDRAC or iLO
• A solid understanding of storage (NVMe, SAN, NAS), compute networking, and data centre power, cooling and cabling
• Experience with firmware management, diagnostics and vendor RMA processes
• Network/fabric deployment exposure is highly regarded, and GPU or HPC experience (especially NVIDIA) is a big plus

What’s in it for you

• Hybrid flexibility, splitting your time between the data centre and your preferred work location
• Hands-on exposure to cutting-edge GPU architectures and liquid-cooled infrastructure
• A collaborative, inclusive team where you’ll help shape how things are built and run from the ground up