[Remote] Domain Architect - AI Networking (Nvidia ecosystem)

Note: The job is a remote job and is open to candidates in USA. World Wide Technology (WWT) is hiring a Domain Architect - AI Networking for its AI Factory practice. The role leads the design, deployment, and lifecycle management of high-performance AI network fabrics, while providing pre-sales expertise, technical scoping, and client consulting.

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

Company H1B Sponsorship