Senior Solutions Architect – AI Infrastructure Networking

🔥 vor 5 Minuten

🇪🇺 Europa – Remote

⏰ Vollzeit

🟠 Senior

💻 Lösungsingenieur

👻 Geisterscore 21%

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 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

🎯 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, 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

🏖️ Vorteile

• 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