Senior Solutions Architect – AI Infrastructure Networking

Mirantis

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

Posted 10/8/2026full-timeRemoteSeniorWebsite

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 data center networking, Kubernetes networking, and multi-cloud connectivity. Proficient in network automation and scripting, with a solid foundation in customer engagement and technical presentations.

Highest-signal resume keywords

Network EngineeringData Center Network DesignKubernetes NetworkingInfiniBand ExpertiseCustomer-Facing Experience

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Applicant Tracking System Keywords

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Hard Skills

Network SolutioningGPU Cluster Interconnect DesignInfiniBand Subnet ManagementLinux Host NetworkingKubernetes NetworkingPython ProgrammingGo ProgrammingNetwork AutomationNCCL TestingSDN

Soft Skills

Excellent CommunicationPresentation SkillsCustomer EngagementCollaborationWorkshop Facilitation

Tools & Technologies

KubernetesTerraformAnsibleGitCI/CD

Industry Keywords

HPCCloud InfrastructureMulti-Cloud ConnectivityGPU CloudNetwork Automation

Tech Stack

Tools & technologies

AnsibleCloudDNSKubernetesLinuxPythonTerraformGo

About the role

Key responsibilities & impact

Own network solutioning for k0rdent AI, Mirantis' 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 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 emerging AI networking technologies including Ultra Ethernet, SuperNIC/DPU offloads, scale-up/scale-across fabrics and DRA network drivers
Prototype and benchmark alternative designs in the lab
Publish research notes, design proposals, papers, blog posts and talks
Build and run customer and partner proofs of concept on Mirantis lab hardware and customer sites
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
Work with hardware and networking partners on joint designs and validations
Feed research results into Product and Engineering and help shape the k0rdent AI roadmap
Present at industry events, webinars and partner summits
Run technical workshops and create reference architecture documents, solution briefs, blog posts and internal enablement

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, including 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, 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, 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 and RDMA device plugins, network policy and service exposure
Knowledge of KubeVirt 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
Must be based in Europe
Additional listed qualifications include NVIDIA networking, GPU cloud/HPC, bare-metal provisioning, network automation, SDN, load balancing, storage networking, open-source contributions, standards participation and additional European languages

Benefits

Comp & perks

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