_{16th September, 2026}

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 environment scales 

Experience needed: 

• Hands-on experience with high performance computing (HPC) networking environments 
• Strong 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 environment 
• 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 

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