Senior Solutions Architect – AI Infrastructure Networking

Mirantis

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

Posted 10/9/2026full-timeRemote • Massachusetts • United StatesSeniorWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in designing and implementing network solutions for GPU clouds and AI factories, with a strong focus on InfiniBand and RoCEv2 Ethernet technologies. Proficient in Kubernetes networking, data center architecture, and customer engagement in technical workshops and presentations.

Highest-signal resume keywords

InfiniBand ExpertiseRoCEv2 Ethernet KnowledgeKubernetes NetworkingData Center Network DesignProgramming in Python or Go

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

Network Architecture DesignGPU Cluster InterconnectsMulti-Tenant IsolationLinux Host NetworkingKubeVirt NetworkingData Center NetworkingNCCL TestingAutomation with AnsibleInfrastructure as CodeNetwork Policy Implementation

Soft Skills

Excellent CommunicationCustomer-Facing ExperiencePresentation SkillsCollaborationTechnical Workshop Facilitation

Tools & Technologies

KubernetesGitTerraformBashHelmNVIDIA Network OperatorRDMA Device PluginsIproute2EthtoolDevlink

Industry Keywords

HPC NetworkingCloud InfrastructureAI WorkloadsNetwork AutomationSDNMulti-Cloud ConnectivityVPNDNS PlanningGPU Cloud DeploymentsOpen-Source Contributions

Tech Stack

Tools & technologies

AnsibleCloudDNSKubernetesLinuxPythonTerraformGo

About the role

Key responsibilities & impact

Own network solutioning for 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, front-end, storage and management networks
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, SuperNICs, PCI passthrough, SR-IOV, IOMMU, NUMA and GPU-NIC affinity
Design Kubernetes networking for AI workloads using CNIs, Multus, SR-IOV, RDMA device plugins, NVIDIA Network Operator and DRA
Design KubeVirt networking for GPU and RDMA traffic
Research emerging AI networking technologies and standards, prototype alternative designs and benchmark them
Publish research notes, design proposals, papers, blog posts and talks
Build and run proofs of concept with customers, partners and on Mirantis hardware or 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
Collaborate with hardware and networking partners and feed research into Product, Engineering and the k0rdent AI roadmap
Present at industry events, webinars and partner summits and run technical workshops
Write reference architectures, solution briefs, blog posts and internal 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
Experience with data center network design, including spine-leaf and Clos topologies, rail-optimised GPU fabrics, oversubscription and ECMP
Expertise in InfiniBand, including subnet management, partitioning, adaptive routing and NCCL/RDMA traffic
Expertise in RoCEv2 Ethernet, including PFC, ECN, DCQCN, QoS, MTU and buffer tuning
Knowledge of BGP, EVPN-VXLAN, VRFs, hybrid and multi-cloud connectivity, VPN, IP address 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, SR-IOV and RDMA device plugins, network policy and service exposure
Experience with 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
Nice-to-have experience includes NVIDIA networking, GPU cloud/HPC deployments, bare-metal provisioning, network automation, SDN, switch operating systems, GSLB, Gateway API, NVMe-oF, GPUDirect Storage, Mirantis products, open-source contributions, industry standards, research, patents, white papers and additional languages

Benefits

Comp & perks

Remote work arrangement
Up to 25% travel for customer engagements, partner meetings, lab work and industry events
Distributed, international team collaboration
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