Hut 8

Technology

SeniorNetworkEngineer

$135–185k ~AI est. Miami, Florida, United States
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Senior candidates.

The Brief

“Senior Network Engineer at Hut 8. Skills: AI infrastructure networks, GPU compute clusters, High-Speed Ethernet, InfiniBand, EVPN/VXLAN. Design AI/HPC network architecture. Maintain AI/HPC network architecture”

Industry & Context.

Technology
Problems you'll solve

Troubleshooting; Analytical skills

What They're Looking For.

Must Have

5+ years enterprise networking, 2+ years AI/HPC/GPU cluster, BGP experience, EVPN/VXLAN experience, VLAN experience, MLAG experience, High-Speed Ethernet experience, InfiniBand experience, Cumulus experience, NVIDIA UFM experience, Linux administration skills, Troubleshoot GPU cluster issues, Enterprise firewalls experience, Network segmentation experience, AI workload traffic patterns knowledge, Storage networking knowledge

Nice to Have

WEKA experience, RoCEv2 experience, NCCL experience, Kubernetes experience, Slurm experience, CUDA environments experience, Supermicro Datacenter Building Block Solutions experience, Liquid-cooled GPU infrastructure familiarity, AI inference environments experience, AI training environments experience, Python scripting experience, Bash scripting experience, Ansible scripting experience, API integrations scripting experience

What You'll Do.

Design AI/HPC network architecture

Maintain AI/HPC network architecture

Design High-Speed Ethernet fabrics

Design InfiniBand fabrics

Deploy EVPN/VXLAN architectures

Manage EVPN/VXLAN architectures

Configure BGP routing

Configure high-availability networking

Design resilient AI infrastructure

Support multi-tenant environments

Support large-scale GPU workloads

Optimize east-west traffic flows

Support NVIDIA GPU cluster networking

Support GPUDirect RDMA

Manage InfiniBand subnets

Troubleshoot cluster communication issues

Execute NCCL performance testing

Validate NCCL performance testing

Deploy storage platforms

Support storage platforms

Configure storage VLANs

Configure passthrough networking

Configure bonded interfaces

Optimize storage throughput

Optimize low-latency communication

Configure enterprise firewalls

Maintain enterprise firewalls

Configure traffic shaping

Configure security segmentation

Implement secure multi-tenant access controls

Assist controlled AI integration

Develop infrastructure automation

Automate network provisioning

Automate firewall policy deployment

Automate VLAN assignments

Automate server imaging

Support API-driven infrastructure management

Support orchestration

Assist AI data center deployment

Assist AI data center operations

Support Tier III resiliency planning

Coordinate with facilities

Coordinate with power

Coordinate with mechanical

Coordinate with ISP providers

How You'll Work.

Team & Collaboration

Cross-functional teams; Infrastructure teams; Facilities teams; Engineering teams

Full Job Description

ABOUT HUT 8 Imagine the ultimate destination for those who want to work at the cutting edge of technology, energy, and infrastructure. Hut 8 is on a mission to build and operate some of the world’s largest data centers for next-generation computing workloads, including AI, Colocation, Cloud, and Bitcoin Mining. We are proud to offer interesting and challenging opportunities for individuals who want to build teams, solve problems, and make an impact from day one. If you’re an ambitious individual looking for a career that is as rewarding as it is challenging, you’ve come to the right place. ABOUT THE ROLE The Senior Network Engineer is responsible for the design, deployment, maintenance, optimization, and troubleshooting of high-performance AI infrastructure networks supporting GPU compute clusters, storage fabrics, and large-scale AI workloads. This role focuses on High-Speed Ethernet, InfiniBand, EVPN/VXLAN fabrics, BGP routing, GPU cluster networking, storage integration, and secure multi-tenant AI environments. The ideal candidate will possess deep experience with hyperscale or HPC networking, AI cluster deployments, data center operations, and advanced troubleshooting across compute, storage, and network fabrics. Key Responsibilities AI & HPC Network Architecture Design and maintain High-Speed Ethernet and InfiniBand fabrics for GPU clusters. Deploy and manage EVPN/VXLAN spine-leaf architectures. Configure and maintain BGP routing, VRFs, VLANs, MLAG, and high-availability networking. Design resilient AI infrastructure supporting multi-tenant environments and large-scale GPU workloads. Optimize east-west traffic flows for AI training and inference workloads. GPU Cluster Infrastructure Support NVIDIA GPU cluster networking including: NCCL optimization GPUDirect RDMA RoCEv2 InfiniBand subnet management Troubleshoot cluster communication issues including: Link flapping Congestion Latency Throughput bottlenecks Execute and validate NCCL performance testing. Storage &

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