Senior Solutions Architect – AI Infrastructure Networking

🔥 6 minutes ago

🌐 United States, India – Remote

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⏰ Full Time

🟠 Senior

💻 Solutions Engineer

🦅 H1B Visa Sponsor

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👻 Ghost score 21%

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Logo of Mirantis

Mirantis

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 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

• 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

• 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

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