Hut 8
Technology
SeniorNetworkEngineer
Neural analysis suggests this role is
optimal for Senior candidates.
“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.
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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