Network Engineering Opportunities: GPU and AI Infrastructure

Our client is a rapid-growing AI cloud provider building large-scale GPU compute infrastructure in Australia. They’re expanding their network team and hiring for several roles, from mid-level to senior and lead.

If you’ve worked on the network that sits under GPU clusters, or you want to, keep reading.

What you’ll be working on

Designing, building and running high-performance, low-latency fabrics for large GPU clusters

Back-end compute fabrics (InfiniBand and/or RoCE) and the front-end, storage and management networks around them

Tuning RDMA performance for distributed AI training and inference

Overlay and data centre networking with VXLAN/EVPN and BGP

Troubleshooting hard problems at scale, including congestion, packet loss, latency and fabric health

Automating builds and day-to-day operations so things stay repeatable as the platform grows

What we’re looking for





Strong data centre networking experience in high-throughput environments

Hands-on experience with RDMA and RoCE / converged Ethernet, including lossless Ethernet

Solid VXLAN / EVPN and BGP experience in leaf-spine fabrics

Experience in or around GPU infrastructure such as HPC, AI/ML clusters, cloud providers or research computing highly advantageous

InfiniBand is a big bonus, but you don’t need it. Strong RoCE and Ethernet fabric people are just as welcome.

Nice to have: NVIDIA networking, Arista or Cisco Nexus, Linux, and automation with Python or Ansible

Why this one

Work on GPU infrastructure at scale

A growing business where your work will be seen

Several roles open, so there’s room to find the right level and focus for you

Hybrid work in Sydney or Melbourne, options for remote too

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📌 Senior Network Engineer (Sydney)
🏢 Nuage Technology Group
📍 Sydney