Note: The job is a remote job and is open to candidates in USA. World Wide Technology is a global systems integrator that designs and delivers high-scale AI, digital, cybersecurity, cloud, and infrastructure solutions. The Domain Architect - AI Networking serves as the technical authority for high-performance interconnect fabrics, leading AI infrastructure delivery, automation, performance engineering, and client-facing pre-sales architecture for NVIDIA-based environments.
Responsibilities
- Architect and deploy non-blocking fat-tree (Clos) topologies using NVIDIA Quantum-2 (NDR) and Quantum-3 (XDR) InfiniBand switches, and NVIDIA Spectrum-4 Ethernet switches
- Implement rail-optimized network designs so GPU-to-GPU traffic aligns with compute-node PCIe topology, minimizing latency for NCCL collective operations
- Configure adaptive routing, congestion control, and quality of service (QoS) to prevent head-of-line blocking and guarantee lossless data delivery
- InfiniBand: enable and tune SHARP (Scalable Hierarchical Aggregation and Reduction Protocol) on Quantum switches to offload collective operations (AllReduce, ReduceScatter) from the GPU to the switch silicon
- Ethernet: architect high-performance Ethernet AI fabrics using SmartNIC/DPU offload (NVIDIA BlueField-3) to accelerate collective operations and isolate management traffic from the data path
- Evaluate and roadmap emerging Ultra Ethernet Consortium (UEC) standards as the practice transitions in-network collectives from proprietary InfiniBand toward open Ethernet
- Tune RoCEv2, PFC, and ECN on Ethernet fabrics and SmartNICs to approximate InfiniBand-class lossless behavior
- Deploy NVIDIA UFM (Unified Fabric Manager) to manage InfiniBand subnets and NetQ for Ethernet fabric telemetry; implement PTP for nanosecond-level clock synchronization across the cluster
- Use automation and AI-assisted tooling to generate switch configuration from the P2P cabling schedule, LLD, and PDG, then validate every topology in NVIDIA DSX Air before it ever touches hardware
- Monitor fabric health continuously to identify slow receivers and link degradation in real time, and maintain Python and Ansible-based infrastructure-as-code for ongoing configuration management
- Own the physical cabling strategy, defining cable schedules (DAC, AOC, or OSFP transceivers) that meet signal-integrity requirements over the required distances
- Validate the link budget to ensure optical loss stays within acceptable limits for 400G and 800G links
- Conduct acceptance and validation testing using NCCL tests to verify fabric performance against expected baselines
- Calculate the bisectional bandwidth required for a client's workload (for example, training typically requires 1:1 non-blocking; inference may tolerate 3:1 oversubscription), and produce accurate level-of-effort (LOE) estimates for statements of work
- Own the technical accuracy of the network bill of materials, validating that every switch, transceiver, and cable is on the NVIDIA or OEM hardware compatibility list (HCL)
- Manage the complexity of breakout cables (for example, 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) traffic
- Design the integration point between the high-speed “back-end” AI fabric and the client's existing “front-end” management network, including BGP/EVPN handoffs
Skills
- 10+ years in networking, HPC, or data center infrastructure engineering, including 7+ years in a customer-facing architecture role
- Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience
- Deep working knowledge of NVIDIA networking platforms, including Quantum InfiniBand switch architecture (MLNX-OS, UFM) and Spectrum-X Ethernet running NVIDIA Cumulus Linux or SONiC
- Proficiency in RoCEv2 (RDMA over Converged Ethernet), including PFC and ECN, and a working architectural understanding of NVIDIA BlueField DPU and DOCA offload use cases
- Automation and infrastructure-as-code experience, with proficiency in Python and Ansible for switch configuration management
- Demonstrated ability to translate technical architecture into commercial outcomes for senior stakeholders
- Industry background: experience within a systems integrator (SI) or managed service provider (MSP) environment
- Multi-vendor exposure: 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 optimization of GPUDirect RDMA (GDR) and NCCL communication patterns
- Scale-across: experience extending an InfiniBand fabric across multiple data center halls (NVIDIA MetroX)
- Certifications: NVIDIA-Certified Professional: AI Networking (NCP-AIN); NVIDIA-Certified Associate: AI Infrastructure and Operations (NCA-AIIO); Arista ACE (Cloud Engineer); Cisco CCNP/CCIE Data Center
Benefits
- Health (Medical & Prescription), Dental, and Vision Care
- Onsite Health Centers (MO & IL)
- Employee Assistance Program
- Wellness program
- Profit Sharing
- 401k Plan with Company Matching
- Life and Disability Insurance
- Flexible Spending Accounts
- Tuition Reimbursement
- PTO & Holidays
- Parental Leave
- Medical Leave
- Military Leave
- Bereavement
- Day of Caring
- Family Planning Benefits
- Nursing Mothers Benefits
- Voluntary Legal
- Voluntary Supplemental Accident/Illness/Hospital
- Voluntary ID Theft
- Pet Insurance
- Employee Discount Program
Company Overview
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