Network Engineer - Compute / HPC

Salary: No

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