Senior Solutions Architect – AI Infrastructure Networking

This is a fully remote position, open to applicants in India.

📋 Description

• Take charge of network solutions for k0rdent AI, Mirantis' platform dedicated to constructing and managing GPU clouds and AI factories.

• Create interconnects for expansive GPU clusters, ensuring tenant isolation and enabling workload network access from containers, virtual machines, and bare-metal nodes.

• Develop and publish network reference architectures and solution designs ranging from single-rack setups to multi-thousand-GPU clusters.

• Specify InfiniBand and RoCEv2 Ethernet compute fabrics, focusing on rail-optimized and fat-tree/Clos designs, oversubscription, and failure domains.

• Define front-end, storage, and management networks, ensuring their connectivity to customer data centers, public clouds, and hybrid environments.

• Outline multi-tenant isolation strategies utilizing InfiniBand PKeys, VRFs, EVPN-VXLAN, and Kubernetes network policies.

• Document scalability limits and trade-offs concerning cost, performance, operability, and vendor lock-in.

• Establish Linux host networking for NICs, DPUs, and SuperNICs, covering aspects like PCI passthrough, SR-IOV, IOMMU, NUMA, and GPU-NIC affinity.

• Design Kubernetes networking for AI workloads utilizing CNIs, Multus, SR-IOV, RDMA plugins, NVIDIA Network Operator, and DRA.

• Create KubeVirt networking for GPU and RDMA traffic.

• Investigate and assess upcoming AI networking technologies and standards.

• Prototype and evaluate alternative designs in the lab, comparing them against current practices.

• Publish research notes, design proposals, academic papers, blog articles, and presentations.

• Develop and execute proofs of concept with customers, partners, and on lab/customer hardware.

• Write automation scripts and tools using Python, Go, Bash, Ansible, Helm, Kubernetes manifests, and Terraform.

• Validate and benchmark fabrics and host configurations through NCCL tests, perftest, and ib_write_bw.

• Serve as the network subject matter expert in customer discovery, design reviews, and architecture workshops.

• Collaborate with hardware/networking partners and cross-functional teams across Solutions Architecture, Partner Management, Product, and Engineering.

• Present at industry events, webinars, and partner summits.

• Conduct hands-on technical workshops and produce reference architectures, solution briefs, blog posts, and enablement content.

⛳️ Requirements

• Bachelor's degree in Computer Science, Electrical Engineering, Telecommunications, or a related field, or equivalent practical experience.

• Over 8 years of experience in network engineering or network architecture.

• At least 3 years of experience in data center, HPC, or cloud infrastructure networking.

• Customer-facing experience in roles such as solutions architect, pre-sales engineer, consultant, or technical lead.

• Proficiency in data center network design, including spine-leaf and Clos topologies, rail-optimized GPU fabrics, oversubscription, and ECMP.

• Expertise in InfiniBand subnet management, partitioning, adaptive routing, and NCCL/RDMA traffic.

• In-depth knowledge of RoCEv2, including PFC, ECN, DCQCN, QoS, MTU, and buffer tuning.

• Familiarity with BGP, EVPN-VXLAN, VRFs, hybrid and multi-cloud connectivity, VPNs, IP address, and DNS planning.

• Understanding of Linux networking, PCI passthrough, SR-IOV, IOMMU, NUMA affinity, iproute2, ethtool, and devlink.

• Knowledge of Kubernetes networking, CNI plugins, Multus, SR-IOV, RDMA device plugins, network policy, and service exposure.

• Awareness of KubeVirt and VM networking, including passthrough and SR-IOV.

• Proficiency in programming or scripting in at least one language; Python or Go is preferred.

• Comfortable working with Git, CI, and infrastructure-as-code.

• Excellent written and verbal communication skills in English.

• Confident in presenting to large audiences and facilitating hands-on workshops.

• Experience working in an international, distributed company across different time zones and cultures.

• Willingness to attend some meetings outside of standard local hours.

• Ability to travel up to 25% for work-related commitments.

• Additional desirable experience includes NVIDIA networking, GPU cloud/neocloud/HPC deployments, bare-metal provisioning, network automation, SDN, GSLB, NVMe-oF, familiarity with Mirantis products, open-source contributions, standards participation, and proficiency in additional languages.

🏝️ Benefits

• Travel opportunities of up to 25% for customer engagements, partner meetings, lab work, and industry events.

• Competitive compensation and benefits aligned with the local market and employment arrangement.

• Collaborate with a distributed team that values openness and technical excellence.

• Opportunity to influence the product narrative and contribute to go-to-market success.