About the Role

One of our clients are building out their network backbone that connects and orchestrates thousands of GPUs at scale.

You'll be joining a team working with cutting-edge Nvidia hardware and high-performance networking technologies that few local organisations operate at this scale.

The role:
Design, build, and operate high-performance network fabrics supporting large-scale GPU clusters
Deploy and tune switch fabrics for low-latency, high-throughput AI/ML workloads
Work closely with infrastructure and platform teams to optimise network performance for distributed training and inference
Troubleshoot and resolve complex network issues across HPC and GPU-dense environments
Plan capacity and topology for ongoing GPU infrastructure expansion
Partner with vendors (including Nvidia) on hardware qualification, firmware, and fabric design
Contribute to standards and best practices for network architecture as the workplace scales

Experience needed:




Hands-on experience with high performance computing (HPC) networking environments
Solid understanding of GPU infrastructure and the networking demands of AI/ML workloads
Experience with switch fabric design, deployment, and operations at scale
Familiarity with Nvidia networking technologies (e.g. InfiniBand, Spectrum-X, NVLink/NVSwitch ecosystems)
We'll also consider candidates without direct HPC/AI experience if they bring:
Large-scale network engineering experience from a hyperscaler or major cloud provider (e.g. AWS, Azure, Google Cloud) or equivalent big-tech setting
Proven experience designing or operating large, complex switch fabrics in production — this background is scarce in the Australian market and highly valued
A track record of operating at scale (thousands of nodes/ports) rather than traditional enterprise networking

📌 Network Engineer Compute / Hpc Sydney (Australia)
🏢 Pathway Search
📍 Australia