Senior Solutions Architect, AI Infrastructure Networking

About the role

Own the network design for a platform that builds and runs GPU clouds and AI factories, from hardware up to workloads. The work blends research, published reference architectures and hands-on proofs of concept with customers and partners.

What you will do

• Design and publish network reference architectures for GPU clusters ranging from one rack to thousands of GPUs
• Define compute fabrics on InfiniBand and RoCEv2 Ethernet, including rail-optimised and Clos topologies
• Specify front-end, storage and management networks and their links to customer data centers and public clouds
• Design multi-tenant isolation using InfiniBand partitions, VRFs, EVPN-VXLAN and Kubernetes network policy
• Build Kubernetes networking for AI workloads with Multus, SR-IOV and RDMA plugins and dynamic resource allocation

What they look for

• Deep networking expertise applied to large GPU and AI infrastructure
• Experience designing data center fabrics on InfiniBand and Ethernet
• Knowledge of Kubernetes networking, SR-IOV and RDMA device plugins
• Ability to explain complex designs to engineers, executives and conference audiences
• Willingness to research emerging technologies and challenge established practice with evidence