Senior Solutions Architect – AI Infrastructure Networking

• Own network solutioning for k0rdent AI, Mirantis' platform for building and operating GPU clouds and AI factories
• Design interconnects for large GPU clusters, tenant isolation and workload network access from containers, virtual machines and bare-metal nodes
• Design and publish network reference architectures and solution designs from single-rack to multi-thousand-GPU clusters
• Define InfiniBand and RoCEv2 Ethernet compute fabrics, including rail-optimised and fat-tree/Clos designs, oversubscription and failure domains
• Define front-end, storage and management networks and their connectivity to customer data centers, public clouds and hybrid environments
• Specify multi-tenant isolation using InfiniBand PKeys, VRFs, EVPN-VXLAN and Kubernetes network policy
• Document scale limits and trade-offs involving cost, performance, operability and vendor lock-in
• Define Linux host networking for NICs, DPUs and SuperNICs, including PCI passthrough, SR-IOV, IOMMU, NUMA and GPU-NIC affinity
• Design Kubernetes networking for AI workloads using CNIs, Multus, SR-IOV, RDMA plugins, NVIDIA Network Operator and DRA
• Design KubeVirt networking for GPU and RDMA traffic
• Research and evaluate emerging AI networking technologies and standards
• Prototype and benchmark alternative designs in the lab and compare them with current practice
• Publish research notes, design proposals, papers, blog posts and talks
• Build and run proofs of concept with customers, partners and on lab/customer hardware
• Write automation and tooling using Python, Go, Bash, Ansible, Helm, Kubernetes manifests and Terraform
• Validate and benchmark fabrics and host configurations using NCCL tests, perftest and ib_write_bw
• Act as network subject matter expert in customer discovery, design reviews and architecture workshops
• Collaborate with hardware/networking partners and cross-functional Solutions Architecture, Partner Management, Product and Engineering teams
• Present at industry events, webinars and partner summits
• Run hands-on technical workshops and write reference architectures, solution briefs, blog posts and enablement content

• Bachelor's degree in Computer Science, Electrical Engineering, Telecommunications or a related field, or equivalent practical experience
• 8+ years in network engineering or network architecture
• At least 3 years in data center, HPC or cloud infrastructure networking
• Customer-facing experience as a solutions architect, pre-sales engineer, consultant or technical lead
• Expertise in data center network design, including spine-leaf and Clos topologies, rail-optimised GPU fabrics, oversubscription and ECMP
• Expertise in InfiniBand subnet management, partitioning, adaptive routing and NCCL/RDMA traffic
• Expertise in RoCEv2, including PFC, ECN, DCQCN, QoS, MTU and buffer tuning
• Knowledge of BGP, EVPN-VXLAN, VRFs, hybrid and multi-cloud connectivity, VPNs, IP address and DNS planning
• Knowledge of Linux networking, PCI passthrough, SR-IOV, IOMMU, NUMA affinity, iproute2, ethtool and devlink
• Knowledge of Kubernetes networking, CNI plugins, Multus, SR-IOV, RDMA device plugins, network policy and service exposure
• Knowledge of KubeVirt and VM networking, passthrough and SR-IOV
• Programming or scripting in at least one language; Python or Go preferred
• Comfortable using Git, CI and infrastructure-as-code
• Excellent written and spoken English
• Comfortable presenting to large audiences and running hands-on workshops
• Experience working in an international, distributed company across time zones and work cultures
• Willingness to work some meetings outside standard local hours
• Up to 25% travel
• Nice-to-have experience includes NVIDIA networking, GPU cloud/neocloud/HPC deployments, bare-metal provisioning, network automation, SDN, GSLB, NVMe-oF, Mirantis products, open-source contributions, standards participation and additional languages

• Travel of up to 25% for customer engagements, partner meetings, lab work and industry events
• Compensation and benefits set according to the local market and employment arrangement
• Work with a distributed team committed to openness and technical excellence
• Opportunity to shape the product narrative and influence go-to-market success