Senior Solutions Architect – AI Infrastructure Networking

Mirantis

. Own the network solutioning of k0rdent AI, Mirantis's platform for building and operating GPU clouds and AI factories .

Posted 10/8/2026full-timeRemote • United StatesSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and implementing complex network solutions for GPU clouds and AI factories, with a strong focus on InfiniBand, RoCEv2, and Kubernetes networking. Proven ability to engage with customers, present technical concepts, and lead workshops while leveraging extensive experience in data center and cloud infrastructure networking.

Highest-signal resume keywords

Network SolutioningInfiniBand Subnet ManagementKubernetes NetworkingData Center Network DesignCustomer-Facing Experience

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Hard Skills

Network ArchitectureGPU Cluster InterconnectsLinux NetworkingProgramming in PythonKubernetes CNI PluginsNCCL/RDMA Traffic ManagementBGP and EVPN-VXLANMulti-Cloud ConnectivitySpine-Leaf TopologiesNetwork Automation

Soft Skills

Excellent CommunicationPresentation SkillsCollaborationCustomer EngagementWorkshop Facilitation

Tools & Technologies

GitTerraformAnsibleHelmCI/CD Tools

Industry Keywords

HPC NetworkingCloud InfrastructureAI WorkloadsMulti-TenancyNetwork Policy

Tech Stack

Tools & technologies

AnsibleCloudDNSKubernetesLinuxPythonTerraformGo

About the role

Key responsibilities & impact

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
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 connectivity 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 and expose NICs, DPUs and SuperNICs to workloads
Design Kubernetes networking for AI workloads, including CNIs, Multus, SR-IOV, RDMA device plugins, NVIDIA Network Operator and DRA
Design KubeVirt networking for virtual machines, including passthrough and SR-IOV for GPU and RDMA traffic
Research and evaluate emerging AI networking technologies and standards
Prototype alternative designs in the lab and measure them against current practice
Publish internal research notes, design proposals and selected external papers, blog posts or talks
Build and run proofs of concept with customers, partners and on Mirantis or customer hardware
Write automation and tooling using Python, Go, Bash, Ansible, Helm, Kubernetes manifests and Terraform
Validate and benchmark fabrics and host configurations using tools such as NCCL tests, perftest and ib_write_bw
Act as the 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 hands-on technical workshops and write reference architectures, solution briefs, blog posts and enablement content

Requirements

What you’ll need

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 on Ethernet, including PFC, ECN, DCQCN, QoS, MTU and buffer tuning
Expertise in 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 NIC drivers, PCI passthrough, SR-IOV, IOMMU, NUMA affinity, iproute2, ethtool and devlink
Kubernetes networking experience with CNI plugins, Multus, SR-IOV, 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
Able to work across time zones and different work cultures
Remote candidates must be based in the United States East Coast
Ability to work some meetings outside standard local hours
Nice-to-have experience with NVIDIA networking, GPU cloud/neocloud/HPC operators, bare-metal provisioning, network automation, SDN controllers, global load balancing, NVMe-oF, Mirantis products, open-source contributions, industry standards, published research, patents or white papers, and additional languages

Benefits

Comp & perks

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