The Domain Architect - AI Network acts as the primary technical authority for the physical and logical lifecycle of high-performance interconnect fabrics across diverse client environments, who bridges the gap between architectural design and hands‑on execution.

You are a /"doer/" who is as comfortable configuring Adaptive Routing on leaf and spine switches in the CLI as you are explaining that configuration to a C‑level client.

As a System Integrator, we do not simply manage a static cloud; we design and deliver bespoke, high-scale AI factories for the world's leading enterprises. In this role, you will define the /"Gold Standard/" for network infrastructure, moving beyond single-switch management to architect repeatable, scalable, and automated lossless fabrics.

You will serve as the technical lead for NVIDIA Cloud Provider (NCP) and private enterprise AI cloud deployments, owning the /"Network/" in the critical /"Compute‑Network‑Storage/" triad.

In this role, you will operate with a 60/40 split between delivering (60) complex AI infrastructure and providing Pre‑Sales (40) Subject Matter Expertise (SME). You will lead the physical provisioning of Infini Band and Spectrum‑X Ethernet fabrics for NVIDIA SuperPOD, NVIDIA BasePOD, and Cisco AI Factory environments, ensuring our clients receive /"Day 2/" ready AI factories, while assisting the sales team in defining the scope and cost of future deployments.

Key Responsibilities

1. Delivery & Implementation (60%)

High-Performance Fabric Design:
Architect and deploy Non-Blocking Fat-Tree (Clos) topologies using NVIDIA Quantum-2 (NDR) / Quantum-3 (XDR) Infini Band switches and Spectrum-4 Ethernet switches.
Implement Rail-Optimised network designs to ensure GPU-to-GPU traffic is perfectly aligned with compute node PCIe trees, minimising latency for NCCL collectives.
Configure Adaptive Routing, Congestion Control, and Quality of Service (QoS) to prevent /"Head-of-Line Blocking/" and ensure lossless data delivery.
In-Network Computing & Offload Strategy:
Infini Band (Switch-Based): Enable and tune SHARP (Scalable Hierarchical Aggregation and Reduction Protocol)



on Quantum switches to offload collective operations (All Reduce, Reduce Scatter) from the GPU to the switch silicon.
Ethernet (Endpoint-Based): Architect high-performance Ethernet AI fabrics utilising SmartNIC/DPU offloading (e.g., NVIDIA Blue Field-3) to accelerate collective operations and isolate management traffic from the data path.
Future Stacks: Evaluate and roadmap emerging Ultra Ethernet Consortium (UEC) standards and hardware capabilities to transition In-Network Collectives from proprietary Infini Band to open Ethernet standards.

Tune RoCEv2 and adaptive routing algorithms on Ethernet fabrics and SmartNICs to approximate Infini Band-like lossless behaviour.

Fabric Management & Telemetry: Deploy NVIDIA UFM (Unified Fabric Manager) to manage Infini Band subnets and NetQ for Ethernet telemetry.

Monitor fabric health to identify /"Slow Receivers/" and link degradation in real-time.
Implement PTP (Precision Time Protocol) for nanosecond-level clock synchronisation across the entire cluster.
Layer 1 Precision:
Oversee the physical cabling strategy, defining strict cable schedules (DAC vs. AOC vs. OSFP transceivers) to meet signal integrity requirements over specific distances.
Validate the /"Link Budget/" to ensure optical loss falls within acceptable limits for 400G/800G links.
Technical Scoping & Sizing:
Calculate the required Bisectional Bandwidth for client workloads (e.g., Training requires 1:1 non-blocking, Inference may tolerate 3:1 oversubscription).

Produce accurate Labour Estimates (LOE) for complex network integrations.

BoM Validation: Own the Network Bill of Materials (BoM), validating that every transceiver, cable, and switch is on the NVIDIA/OEM HCL.

Manage the complexities of breakout cables (e.g., 800G to 2x400G) and connector types (OSFP, QSFP112) to prevent on‑site installation failures.




Educate clients on the difference between standard Enterprise Ethernet (Lossy, TCP-based) and AI Fabric (Lossless, RDMA-based).
Design integration points between the high‑speed /"Backend/" AI fabric and the client's existing /"Frontend/" management network (BGP/EVPN handoffs).
Deep expertise in NVIDIA Quantum Infini Band switch architecture and management via MLNX-OS and UFM.
Mastery of Spectrum‑X Ethernet platforms running NVIDIA Cumulus Linux or SONiC (Software for Open Networking in the Cloud).
Proficiency in configuring RoCEv2 (RDMA over Converged Ethernet), including PFC (Priority Flow Control) and ECN (Explicit Congestion Notification).

Architectural understanding of NVIDIA Blue Field DPU and DOCA use cases for offloading network functions.

Network Automation (Net DevOps): Proficiency in Python and Ansible for switch configuration management.

Experience with Infrastructure as Code (IaC) principles to treat network config as software.

Fabric Telemetry: Hands‑on experience with UFM, Prometheus, and Grafana for visualising fabric congestion and /"tail latency./"
Multi‑Vendor Exposure: Experience with Arista (EOS) for high-performance AI Ethernet or Cisco (Nexus Dashboard) for AI infrastructure.
Routing Protocols: Solid understanding of BGP, EVPN, and VXLAN for multi‑tenant isolation.
Compute Integration: Understanding of how the network interacts with the host OS (IPoIB, Netlink) and optimisation of GPU Direct RDMA (GDR) and NCCL communication patterns.
Scale‑Across: Extending an Infini Band fabric across multiple data centrehalls (NVIDIA Metro-X).
Certifications:
NVIDIA-Certified Qualified: AI Networking (NCP-AIN)
NVIDIA-Certified Associate: AI Infrastructure and Operations (NCA-AIIO)
Fabric Performance: Achieving >95% effective bandwidth efficiency on NCCL-test benchmarks across the full cluster.
Deployment Accuracy: Zero /"Layer 1/" rework required due to incorrect transceiver/cable specification in the BoM.

Stability: Zero topology or design-induced link instability (e.g., cabling mismatches) in production.

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📌 AI Network Domain Architect (Sydney)
🏢 World Wide Technology
📍 Sydney