Senior Solutions Architect – AI Infrastructure Networking

🕒 vor 12 Tagen

🇺🇸 Vereinigte Staaten – Remote

⏰ Vollzeit

🟠 Senior

💻 Lösungsingenieur

🦅 H1B-Visum-Sponsor

Dieses Unternehmen hat in der Vergangenheit H1B-Visa gesponsert.

👻 Geisterscore 22%

Was es bedeutet: wie wahrscheinlich diese Stelle offen bleibt, ohne dass aktiv eingestellt wird.So liest du es: 60 % oder höher heißt, wir halten das für einen Geisterjob. Niedrigere Werte sind weniger bedenklich.Wie wir werten: Dauer offen, Neuveröffentlichungen, offene Stellen vs Teamgröße, wie schnell Stellen geschlossen werden, und ob ein Gehalt angegeben ist.Hinweis: eine Schätzung aus öffentlichen Daten, kein Urteil über das Unternehmen. Echte Stellen können hoch punkten, nutze es also als Hinweis, nicht als Fakt.

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Mirantis

WebsiteLinkedInAlle Stellen

501 - 1000 Mitarbeiter

💼 Beratung

🏥 Gesundheitswesen

📦 Logistik

Consulting • Healthcare • Logistics

Mirantis ist ein Unternehmen, das sich auf Container-Management und Cloud-Infrastrukturlösungen spezialisiert hat. Das Portfolio umfasst unter anderem Mirantis Kubernetes Engine (MKE), Mirantis OpenStack for Kubernetes (MOSK) und Mirantis Container Cloud (MCC) – Plattformen für Kubernetes und Container-Management auf Enterprise-Niveau. Darüber hinaus entwickelt Mirantis Werkzeuge für sichere Software-Lieferketten, etwa die Mirantis Container Runtime (MCR) und die Mirantis Secure Registry (MSR). Als Verfechter von Open-Source-Technologien unterstützt Mirantis verschiedene Projekte und stellt Ressourcen wie Lens Desktop, eine beliebte Kubernetes-IDE, sowie technischen Support für Unternehmen bereit, die Cloud-native Technologien einführen. Die Lösungen von Mirantis richten sich an Bereiche wie den öffentlichen Sektor, Finanzdienstleistungen sowie SaaS- und Technologiedienstleistungen.

Beschreibung

• Own the network solutioning of 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, 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 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 and expose NICs, DPUs and SuperNICs to workloads • Design Kubernetes networking for AI workloads, including CNIs, Multus, SR-IOV, RDMA device plugins, NVIDIA Network Operator and DRA • Design KubeVirt networking for virtual machines, including passthrough and SR-IOV for GPU and RDMA traffic • Research and evaluate emerging AI networking technologies and standards • Prototype alternative designs in the lab and measure them against current practice • Publish internal research notes, design proposals and selected external papers, blog posts or talks • Build and run proofs of concept with customers, partners and on Mirantis or 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 • Act as the 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 back to Product and Engineering and help shape the k0rdent AI roadmap • Present at industry events, webinars and partner summits • Run hands-on technical workshops and write reference architectures, solution briefs, blog posts and enablement content

🎯 Anforderungen

• 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 • Expertise in data center network design, including 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 on Ethernet, including PFC, ECN, DCQCN, QoS, MTU and buffer tuning • Expertise in BGP, EVPN-VXLAN and VRFs for multi-tenancy • Experience with hybrid and multi-cloud connectivity, interconnects, VPN, cloud networking, IP addressing and DNS planning • Linux networking knowledge, including NIC drivers, PCI passthrough, SR-IOV, IOMMU, NUMA affinity, iproute2, ethtool and devlink • Kubernetes networking experience with CNI plugins, Multus, SR-IOV, RDMA device plugins, network policy and service exposure • Experience with KubeVirt and 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 • Able to work across time zones and different work cultures • Remote candidates must be based in the United States East Coast • Ability to work some meetings outside standard local hours • Nice-to-have experience with NVIDIA networking, GPU cloud/neocloud/HPC operators, bare-metal provisioning, network automation, SDN controllers, global load balancing, NVMe-oF, Mirantis products, open-source contributions, industry standards, published research, patents or white papers, and additional languages

🏖️ Vorteile

• Remote work arrangement • Travel of up to 25% for customer engagements, partner meetings, lab work and industry events • Collaborate with a world-class, distributed team • 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