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 10/7/2026full-timeRemote • United States, IndiaSeniorWebsite

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, Kubernetes networking, and data center architectures. Proven ability to collaborate with cross-functional teams and present technical concepts effectively to diverse audiences.

Highest-signal resume keywords

Network SolutioningInfiniBand Subnet ManagementKubernetes NetworkingData Center Network DesignCustomer-Facing Experience

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 ArchitectureInfiniBandRoCEv2 EthernetLinux NetworkingKubernetesPythonGoNCCLRDMASDN Controllers

Soft Skills

Excellent CommunicationPresentation SkillsCollaboration

Tools & Technologies

GitCITerraformAnsibleHelm

Industry Keywords

GPU CloudHPCMulti-Cloud ConnectivityNetwork AutomationData Center Networking

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 interconnects for large GPU clusters, 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 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 with NICs, DPUs, SuperNICs, PCI passthrough, SR-IOV, IOMMU, NUMA and GPU-NIC affinity
Design Kubernetes and KubeVirt networking for AI workloads, including CNI, Multus, RDMA, SR-IOV and DRA
Research and evaluate emerging AI networking technologies and standards
Prototype and benchmark alternative designs in the lab and with customers
Publish internal research notes, design proposals, papers, blog posts and talks
Build customer and partner proofs of concept on Mirantis and 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
Serve as network subject matter expert in customer discovery, design reviews and architecture workshops
Collaborate with hardware, networking, Solutions Architecture, Partner Management and Engineering teams
Feed research results into Product and Engineering and help shape the k0rdent AI roadmap
Present at industry events, webinars and partner summits and run technical workshops
Produce 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
Data center network design expertise: spine-leaf and Clos topologies, rail-optimised GPU fabrics, oversubscription, ECMP, and scaling to thousands of nodes
InfiniBand subnet management, partitioning, adaptive routing, and NCCL/RDMA traffic knowledge
RoCEv2 Ethernet: PFC, ECN, DCQCN, QoS, MTU and buffer tuning
BGP, EVPN-VXLAN and VRFs for multi-tenancy
Hybrid and multi-cloud connectivity, interconnects, VPN, cloud networking, IP address and DNS planning
Linux networking, NIC drivers, PCI passthrough, SR-IOV, IOMMU, NUMA affinity, iproute2, ethtool and devlink
Kubernetes networking: CNI plugins, Multus, SR-IOV and RDMA device plugins, network policy and service exposure
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 at conferences and events and running hands-on workshops
Experience working in an international, distributed company across time zones and work cultures
Role is open to candidates based in Europe, the United States (East Coast preferred) or India
Able to work some meetings outside standard local hours
Nice-to-have experience includes NVIDIA networking, GPU cloud/HPC, bare-metal provisioning, network automation, SDN controllers, load balancing, NVMe-oF, Mirantis products, open-source contributions, standards participation, published research, and additional languages

Benefits

Comp & perks

Remote work arrangement
Travel up to 25% for customer engagements, partner meetings, lab work and industry events
Distributed, international team collaboration
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
Compensation and benefits set according to the local market and employment arrangement