The GPU Infrastructure & Networking Architect is responsible for the Low-Level Design (LLD) and Day-0 implementation of the physical GPU compute and DPU-centric networking fabric within the CloudXP Sovereign AI Cloud. This role owns the end-to-end design of the GB300 NVL72 bare-metal compute layer, NVIDIA BlueField-3 DPU deployment in DPF mode, Spectrum-X GPU TAN, Spectrum-3 ancillary fabric, and F5/Netris internet egress — translating the High-Level Design (HLD) into deployable, validated configurations aligned to the NVIDIA Reference Architecture.

Key Responsibilities

1.   Design Infrastructure LLD & Day-0 Configuration

•    Produce rack-level and node-level LLD for GB300 NVL72 bare-metal GPU nodes including cabling, power, and cooling topology

•    Design and document BF-3 DPU deployment in DPF mode across all node types (GB300 and ancillary); validate DOCA DPF Operator configuration and lifecycle

•    Define NVIDIA NICo zero-trust enrollment workflow for GB300 nodes; document pre-boot attestation sequences and BMC integration

•    Produce IP addressing schemes for GPU TAN (Spectrum-X), ancillary compute fabric (Spectrum-3), OOB management, and storage planes

•    Author Day-0 runbooks for Spectrum-X spine-leaf bring-up, rail-optimised RoCE configuration, and MTU/ECN tuning for GB300 workloads

2.   Design Networking & Egress Design

•    Design distributed BGP egress using FRR DaemonSet with /32 EIP injection; configure eBGP peering between AS 65100 (compute) and AS 65000 (Spectrum-3 SN4600C spine)

•    Own F5 AWAF hardware egress configuration as the sole internet exit path; define F5 BNK + DPF co-deployment on BF-3 for north-south traffic

•    Design OVN-Kubernetes overlay for ancillary nodes and DPF Host-Trusted mode integration; validate SF+VF coexistence on BF-3

•    Produce VXLAN segment maps, VRF isolation design, and HBN VRF scaling analysis for ZoneVPC DaemonSet model

•    Define RDMA/RoCE network policies and lossless fabric requirements for GB300 scale-out training workloads

•    Implement netris based cloud virtual functions and

3.   Design Storage Connectivity

•    Design VAST NFS mount architecture for GB300 nodes; validate data-path performance at scale and define NFS tuning parameters

•    Design NetApp ONTAP block storage connectivity for ancillary KubeVirt VMs; document iSCSI/NVMe-oF path configuration

•    Produce storage LLD covering StorageGRID object connectivity, zone affinity, and multi-tenancy namespace isolation

4.   Implement Validation & NVIDIA Alignment

•    Execute hardware bring-up validation against NVIDIA GB300 NVL72 Dual-Plane Networking Reference Architecture

•    Coordinate with NVIDIA field engineering on DTS Prometheus port accessibility in DPF mode and UFM 6.x metric naming compatibility

•    Produce test plans and acceptance criteria for network fabric, GPU TAN, and egress path; participate in NVIDIA NCP validation reviews

Required Skills & Experience

Must-Have

•    10+ years in data-centre infrastructure architecture with 3+ years on GPU/AI cluster deployments at scale (100+ nodes)

•    Hands-on experience with NVIDIA BlueField DPUs (BF-2 or BF-3); knowledge of DOCA SDK, DPF Operator, and OVN-K integration

•    Deep expertise in BGP (eBGP/iBGP), RoCE/RDMA networking, and lossless Ethernet fabric design (PFC, ECN, DCQCN)

•    Proficiency with NVIDIA Spectrum switches (UFM, SHARP, rail-optimised topology) or comparable InfiniBand/Ethernet AI fabrics

•    Experience with F5 BIG-IP (hardware AWAF / BIG-IP Next for Kubernetes); familiarity with BIG-IP as Kubernetes ingress/egress

•    Strong Linux networking background: VXLAN, VRF, VLAN, OVN/OVS, kernel datapath, SR-IOV, VF/SF configuration

•    Experience with Netris implementation and customization

•    Proficiency in Python and/or Go for automation scripts and infrastructure-as-code tooling; Ansible/Terraform for Day-0 provisioning

Nice-to-Have

•    Familiarity with NVIDIA NICo zero-trust bare-metal enrollment and attestation workflows

•    Experience with NetApp ONTAP and VAST Data NFS storage platforms in high-performance compute environments

•    Knowledge of NVIDIA UFM (Unified Fabric Manager) 6.x and Telemetry Streaming for GPU fabric observability

•    Prior engagement with NVIDIA Cloud Partner (NCP) programme or Sovereign AI Cloud deployments

•    Understanding of Kubernetes CNI plugins (OVN-Kubernetes, Cilium) and their interaction with DPU offload