Job Description
Youl'll be designing, deploying, andoperatingthe switch fabrics and interconnects that power large-scale training and inference workloads.
n
16th September, ****
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About the Role
n One of our clients are building out their network backbone that connects and orchestrates thousands of GPUs at scale.
n You'llbe joining a team working withcutting-edgeNvidia hardware and high-performance networking technologies that few
localorganisationsoperateat
this scale.
n The role:
n
n
Design, build, andoperatehigh-performance network fabrics supporting large-scale GPU clusters
n
Deploy and tune switch fabrics for low-latency, high-throughput AI/ML workloads
n
Work closely with infrastructure and platform teams tooptimisenetwork performance for distributed training and inference
n
Troubleshoot and resolve complex network issues across HPC and GPU-dense environments
n
Plan capacity and topology for ongoing GPU infrastructure expansion
n
Partner with vendors (including Nvidia) on hardware qualification, firmware, and fabric design
n
Contribute to standards and best practices for network architecture as the environment scales
n
n
16th September, ****
n
About the Role
n One of our clients are building out their network backbone that connects and orchestrates thousands of GPUs at scale.
n You'llbe joining a team working withcutting-edgeNvidia hardware and high-performance networking technologies that few
localorganisationsoperateat
this scale.
n The role:
n
n
Design, build,



andoperatehigh-performance network fabrics supporting large-scale GPU clusters
n
Deploy and tune switch fabrics for low-latency, high-throughput AI/ML workloads
n
Work closely with infrastructure and platform teams tooptimisenetwork performance for distributed training and inference
n
Troubleshoot and resolve complex network issues across HPC and GPU-dense environments
n
Plan capacity and topology for ongoing GPU infrastructure expansion
n
Partner with vendors (including Nvidia) on hardware qualification, firmware, and fabric design
n
Contribute to standards and best practices for network architecture as the workplace scales
n
n
Experience needed:
n
n
Hands-on experience withhigh
performancecomputing
(HPC) networking environments
n
Strong understanding of GPU infrastructure and the networking demands of AI/ML workloads
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Experience with switch fabric design, deployment, and operations at scale
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Familiarity with Nvidia networking technologies (e.g.InfiniBand, Spectrum-
X,NVLink/NVSwitchecosystems)
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We'llalso consider candidates without direct HPC/AI experience if they bring:
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Large-scale network engineering experience from ahyperscaleror major cloud provider (e.g.AWS, Azure, Google Cloud) or equivalent big-tech environment
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Proven experience designing oroperatinglarge, complex switch fabrics in production — this background is scarce in the Australian market and highly valued
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A track recordof operating at scale (thousands of nodes/ports) rather than traditional enterprise networking
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📌 Network Engineer - Compute / Hpc (New South Wales)
🏢 Pathway Search
📍 New South Wales