Network Engineer - Compute / HPC

Pathway Search; Sydney; On-site; AUD 120,000 - 190,000; Full time

Job summary

Pathway Search is seeking a senior network engineer to design, deploy, and operate high-performance network fabrics powering large-scale GPU clusters. You will tune switch fabrics for low-latency AI/ML workloads and collaborate with infrastructure teams to optimize distributed training and inference.

The role requires hands-on HPC networking experience, deep knowledge of GPU networking demands, and familiarity with Nvidia technologies. Strong production-scale background is highly valued.

Qualifications

• 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 from hyperscaler or major cloud providers.

Responsibilities

• 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.

Skills

HPC networking

GPU infrastructure

Switch fabric design

Nvidia networking tech

Large-scale network engineering

Production switch fabrics

Scale-out networking

Tools

InfiniBand

NVLink/NVSwitch

Spectrum-X

Job description

Youl'll be designing, deploying, andoperatingthe switch fabrics and interconnects that power large-scale training and inference workloads.

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'llbe joining a team working withcutting-edgeNvidia hardware and high-performance networking technologies that few localorganisationsoperateat this scale.
The role:

• Design, build, andoperatehigh-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 tooptimisenetwork 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

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'llbe joining a team working withcutting-edgeNvidia hardware and high-performance networking technologies that few localorganisationsoperateat this scale.
The role:

• Design, build, andoperatehigh-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 tooptimisenetwork 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 withhigh performancecomputing (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/NVSwitchecosystems)
• We'llalso consider candidates without direct HPC/AI experience if they bring:
• Large-scale network engineering experience from ahyperscaleror major cloud provider (e.g.AWS, Azure, Google Cloud) or equivalent big-tech environment
• Proven experience designing oroperatinglarge, complex switch fabrics in production — this background is scarce in the Australian market and highly valued
• A track recordof operating at scale (thousands of nodes/ports) rather than traditional enterprise networking