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Senior Solutions Architect – AI Infrastructure Networking

🕒 Outubro 9

🍂 Massachusetts – Remoto

infoinfo

⏰ Tempo Integral

🟠 Sênior

💻 Engenheiro de Soluções

🗣️🇺🇸🇬🇧 Inglês obrigatório

De onde vem esta vaga

Publicada na página de carreiras da Mirantis, não em um site de vagas

Vista pela primeira vez pelo Remote Rocketship Outubro 9

Ainda aberta no site da Mirantis. Verificada 4 minutos atrás.

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Mirantis

501 - 1000 funcionários

💼 Consultoria

🏥 Saúde

📦 Logística

Consulting • Healthcare • Logistics

A Mirantis é uma empresa especializada em soluções de gerenciamento de contêineres e infraestrutura em nuvem. Ela oferece uma variedade de produtos, incluindo o Mirantis Kubernetes Engine (MKE), o Mirantis OpenStack para Kubernetes (MOSK) e o Mirantis Container Cloud (MCC), que fornecem plataformas de gerenciamento de Kubernetes e contêineres em nível empresarial. A Mirantis também desenvolve ferramentas para cadeias seguras de fornecimento de software, como o Mirantis Container Runtime (MCR) e o Mirantis Secure Registry (MSR). Como defensora das tecnologias de código aberto, a Mirantis apoia vários projetos e fornece recursos como o Lens Desktop, um popular IDE para Kubernetes, além de suporte técnico para empresas que adotam tecnologias nativas em nuvem. Suas soluções atendem a setores como serviços públicos, serviços financeiros e indústrias mais amplas de SaaS e serviços de tecnologia.

Descrição

• 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

🎯 Requisitos

• 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

🏖️ Benefícios

• 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

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