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Mirantis
Mirantis
501 – 1000 Zaposleni
Sponzor vizuma H1BLogistikaSvetovanjeZdravstveno varstvo
Mirantis razvija cloud-native infrastrukturo in programsko opremo za upravljanje vsebnikov za organizacije, ki gradijo, varujejo in upravljajo okolja Kubernetes v velikem obsegu. Njegov portfelj vključuje Mirantis Kubernetes Engine, Mirantis OpenStack for Kubernetes, Mirantis Container Cloud, Mirantis Container Runtime in Mirantis Secure Registry, ki podpirajo delovanje gruč in varnost dobavne verige programske opreme. Podjetje prispeva tudi k odprtokodnemu ekosistemu s projekti in orodji, kot je Lens Desktop, IDE za Kubernetes, ter zagotavlja tehnično podporo za podjetja. Mirantis sodeluje z organizacijami na področjih svetovanja, zdravstva, logistike, javnih storitev, finančnih storitev in tehnološko usmerjenih panog, ki uvajajo sodobno oblačno infrastrukturo.
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Delovna mesta v podjetju

Senior AI Infrastructure Networking Solutions Architect at Mirantis

Design GPU cloud networking for Mirantis and its k0rdent AI platform. Build reference architectures, automation, and customer proofs of concept for large-scale AI infrastructure.

DENemčijaNa daljavoPolni delovni časSeniorZahtevani Jezik: angleščinaInženir rešitev
AnsibleDNSGoKubernetesLinuxOblakPythonTerraform

Opis

  • Lead network solution design for 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 across containers, virtual machines, and bare-metal nodes.
  • Create published reference architectures, working code, and proofs of concept on physical hardware.
  • Define compute fabrics with InfiniBand and RoCEv2 Ethernet, including rail-optimized and fat-tree or Clos topologies.
  • Plan front-end, storage, and management networks, including connections to customer data centers, public clouds, and hybrid environments.
  • Design multi-tenant isolation using InfiniBand partitions, VRFs, EVPN-VXLAN, and Kubernetes network policies.
  • Document scaling limits and trade-offs in cost, performance, operability, and vendor dependence.
  • Specify Linux host networking for NICs, DPUs, and SuperNICs, covering PCI passthrough, SR-IOV, IOMMU, NUMA, and GPU-to-NIC affinity.
  • Design Kubernetes networking for AI workloads with CNIs, Multus, SR-IOV, RDMA plugins, NVIDIA Network Operator, and DRA.
  • Design KubeVirt networking for GPU and RDMA traffic.
  • Research new AI networking technologies and standards, then prototype and benchmark alternatives.
  • Publish research notes, design proposals, papers, blog posts, and talks.
  • Build and operate proofs of concept for customers and partners, reporting results against agreed success criteria.
  • Develop automation and tooling with Python, Go, Bash, Ansible, Helm, Kubernetes manifests, and Terraform.
  • Test and benchmark network fabrics and host configurations with NCCL tests, perftest, and ib_write_bw.
  • Act as the networking expert in customer discovery, design reviews, and architecture workshops.
  • Collaborate with hardware and networking partners on joint designs and validation.
  • Share research findings with Product and Engineering and help guide the k0rdent AI roadmap.
  • Speak at industry events, webinars, and partner summits, and lead technical workshops.
  • Create reference architectures, solution briefs, blog posts, and internal enablement materials.

Zahteve

  • Bachelor’s degree in computer science, electrical engineering, telecommunications, or a related discipline, or equivalent practical experience.
  • At least eight years of experience in network engineering or architecture.
  • At least three years working with data center, HPC, or cloud infrastructure networking.
  • Customer-facing background as a solutions architect, pre-sales engineer, consultant, or technical lead.
  • Expertise in data center network design, including spine-leaf and Clos topologies, rail-optimized GPU fabrics, oversubscription, and ECMP.
  • Strong InfiniBand knowledge, including subnet management, partitioning, adaptive routing, and NCCL/RDMA traffic.
  • Strong RoCEv2 Ethernet knowledge, including PFC, ECN, DCQCN, QoS, MTU, and buffer tuning.
  • Knowledge of BGP, EVPN-VXLAN, and VRFs for multi-tenant networking.
  • Experience with hybrid and multi-cloud connectivity, interconnects, VPNs, cloud networking, IP addressing, and DNS planning.
  • Linux networking expertise covering NICs, PCI passthrough, SR-IOV, IOMMU, NUMA affinity, iproute2, ethtool, and devlink.
  • Knowledge of Kubernetes networking, including CNI plugins, Multus, secondary networks, SR-IOV and RDMA device plugins, network policies, and service exposure.
  • Experience with KubeVirt and VM networking, passthrough, and SR-IOV.
  • Programming or scripting experience in at least one language; Python or Go is preferred.
  • Proficiency with Git, CI, and infrastructure as code.
  • Strong written and spoken English.
  • Confidence presenting to large audiences and leading hands-on workshops.
  • Ability to tailor communication to network engineers and customer executives.
  • Experience in an international, distributed company, working across time zones and cultures.

Ugodnosti

  • Compensation and benefits are determined by local market conditions and the employment arrangement.
  • Remote work.
  • Up to 25% travel for customer engagements, partner meetings, lab work, and industry events.
  • Work directly with leading GPU cloud operators, NeoClouds, sovereign clouds, and AI-focused enterprises.
  • Collaborate with a highly skilled distributed team.
  • Help shape the product narrative and influence go-to-market success.

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