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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in network solutioning for GPU clouds and AI factories, with a strong focus on designing and implementing data center networking architectures, including InfiniBand and RoCEv2 Ethernet technologies. Proficient in Kubernetes networking and capable of producing reference architectures and proofs of concept.
Highest-signal resume keywords
Network EngineeringData Center Network DesignInfiniBand ExpertiseKubernetes NetworkingProgramming in Python or Go
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Network ArchitectureInfiniBandRoCEv2 EthernetKubernetesLinux NetworkingData Center NetworkingCloud NetworkingNCCLSR-IOVVM Networking
Soft Skills
Excellent CommunicationCustomer-Facing ExperiencePresentation SkillsAdaptability
Tools & Technologies
GitCITerraformAnsibleHelmBashPythonGo
Industry Keywords
HPCMulti-Cloud ConnectivityVPNIP AddressingDNS PlanningSpine-Leaf TopologiesClos TopologiesMulti-Tenancy
Tech Stack
Tools & technologiesAnsibleCloudDNSKubernetesLinuxPythonTerraformGo
About the role
Key responsibilities & impact- 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
- Produce published reference architectures, working code and proofs of concept on real hardware
- Define compute fabrics using InfiniBand and RoCEv2 Ethernet, including rail-optimised and fat-tree/Clos designs
- Define front-end, storage and management networks and connections 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 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 and standards, prototype alternatives and benchmark them
- Publish research notes, design proposals, papers, blog posts and talks
- Build and run customer and partner proofs of concept, and report results against success criteria
- Write automation and tooling with Python, Go, Bash, Ansible, Helm, Kubernetes manifests and Terraform
- Validate and benchmark fabrics and host configurations using NCCL tests, perftest and ib_write_bw
- Serve 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 back to Product and Engineering and help shape the k0rdent AI roadmap
- Present at industry events, webinars and partner summits; run technical workshops
- Write reference architectures, solution briefs, blog posts and internal enablement content
Requirements
What you’ll need- 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
- InfiniBand expertise, including subnet management, partitioning, adaptive routing and NCCL/RDMA traffic
- RoCEv2 Ethernet expertise, including PFC, ECN, DCQCN, QoS, MTU and buffer tuning
- Knowledge of 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 NICs, PCI passthrough, SR-IOV, IOMMU, NUMA affinity, iproute2, ethtool and devlink
- Kubernetes networking knowledge, including CNI plugins, Multus, secondary networks, SR-IOV and 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
- Ability to adapt communication to network engineers and customer executives
- Experience working in an international, distributed company across time zones and work cultures
Benefits
Comp & perks- Compensation and benefits are set according to the local market and employment arrangement
- Remote work arrangement
- Travel opportunities of up to 25% for customer engagements, partner meetings, lab work and industry events
- Work directly with leading GPU cloud operators, NeoClouds, sovereign clouds, and AI-first enterprises
- Collaborate with a world-class, distributed team
- Opportunity to shape the product narrative and influence go-to-market success