Senior Solutions Architect – AI Infrastructure Networking

• Own the network solutioning of k0rdent AI, Mirantis's platform for building and operating GPU clouds and AI factories
• Design large GPU cluster interconnects, tenant isolation and workload connectivity from containers, virtual machines and bare-metal nodes
• Produce published reference architectures, working code and proofs of concept on real hardware
• Define compute fabrics using InfiniBand and RoCEv2 Ethernet, including rail-optimised and fat-tree/Clos designs
• Define front-end, storage and management networks and connections to customer data centers, public clouds and hybrid environments
• Specify multi-tenant isolation using InfiniBand partitions, 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 emerging AI networking technologies and standards, prototype alternatives and benchmark them
• Publish research notes, design proposals, papers, blog posts and talks
• Build and run customer and partner proofs of concept, and report results against success criteria
• Write automation and tooling with Python, Go, Bash, Ansible, Helm, Kubernetes manifests and Terraform
• Validate and benchmark fabrics and host configurations using NCCL tests, perftest and ib_write_bw
• Serve as network subject matter expert in customer discovery, design reviews and architecture workshops
• Work with hardware and networking partners on joint designs and validations
• Feed research results back to Product and Engineering and help shape the k0rdent AI roadmap
• Present at industry events, webinars and partner summits; run technical workshops
• Write reference architectures, solution briefs, blog posts and internal 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
• InfiniBand expertise, including subnet management, partitioning, adaptive routing and NCCL/RDMA traffic
• RoCEv2 Ethernet expertise, including PFC, ECN, DCQCN, QoS, MTU and buffer tuning
• Knowledge of BGP, EVPN-VXLAN and VRFs for multi-tenancy
• Experience with hybrid and multi-cloud connectivity, interconnects, VPN, cloud networking, IP addressing and DNS planning
• Linux networking knowledge, including NICs, PCI passthrough, SR-IOV, IOMMU, NUMA affinity, iproute2, ethtool and devlink
• Kubernetes networking knowledge, including CNI plugins, Multus, secondary networks, SR-IOV and RDMA device plugins, network policy and service exposure
• Experience with 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
• Ability to adapt communication to network engineers and customer executives
• Experience working in an international, distributed company across time zones and work cultures

• Compensation and benefits are set according to the local market and employment arrangement
• Remote work arrangement
• Travel opportunities of up to 25% for customer engagements, partner meetings, lab work and industry events
• Work directly with leading GPU cloud operators, NeoClouds, sovereign clouds, and AI-first enterprises
• Collaborate with a world-class, distributed team
• Opportunity to shape the product narrative and influence go-to-market success