Senior Solutions Architect – AI Infrastructure Networking

🔥 5 minutes ago

🇪🇺 Europe – Remote

⏰ Full Time

🟠 Senior

💻 Solutions Engineer

👻 Ghost score 21%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Mirantis

WebsiteLinkedInAll Job Openings

501 - 1000 employees

💼 Consulting

🏥 Healthcare

📦 Logistics

Consulting • Healthcare • Logistics

Mirantis is a company that specializes in container management and cloud infrastructure solutions. It offers a range of products, including Mirantis Kubernetes Engine (MKE), Mirantis OpenStack for Kubernetes (MOSK), and Mirantis Container Cloud (MCC), which provide enterprise-level Kubernetes and container management platforms. Mirantis also develops tools for secure software supply chains, such as the Mirantis Container Runtime (MCR) and Mirantis Secure Registry (MSR). As an advocate for open source technologies, Mirantis supports various projects and provides resources like Lens Desktop, a popular Kubernetes IDE, and technical support for enterprises adopting cloud-native technologies. Their solutions cater to sectors such as public services, financial services, and broader SaaS and technology services industries.

📋 Description

• 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

• 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

• 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