**About the Role** The **HPC Engineer - Network** acts as the primary execution engine for the connectivity that binds the AI Factory together. While the Domain Architect designs the topology and the Senior Engineer directs the squad, you are the "Builder" responsible for configuring, stabilising, and tuning the high-speed interconnects. You are a "doer" who is as comfortable debugging a flapping InfiniBand link via CLI as you are pushing a configuration update to fifty switches using Ansible. As a System Integrator, we design and deliver bespoke, high-scale AI factories. In this role, you will move beyond standard enterprise networking (campus/wifi) to execute the deployment of lossless, high-bandwidth fabrics for **NVIDIA SuperPOD, NVIDIA BasePOD, and Cisco AI Factory** environments. In this role, you will operate with a **100% focus on Delivery** , executing the Low-Level Designs (LLD) assigned by your Squad Lead. You will own the "Network" in the critical "Compute-Network-Storage" triad, ensuring that the GPU compute nodes can communicate at line rate without congestion. **Key Responsibilities** 1. **Fabric Configuration & Provisioning** + **Switch Configuration:** Execute the configuration of high-performance switches (NVIDIA Quantum InfiniBand, NVIDIA Spectrum-X Ethernet, Cisco Nexus) using defined templates and automation. + **NetDevOps Execution:** Run and maintain **Ansible playbooks** to push configurations, update firmware (Cumulus/NX-OS), and enforce compliance across the fabric. + **Subnet Management:** Configure and tune NVIDIA Unified Fabric Manager (UFM) to ensure optimal routing and fault tolerance. + **Host Networking:** Assist the Compute team in configuring host-side adapters (ConnectX SuperNICs, BlueField DPUs) to ensure correct IP addressing, MTU, and driver parameters. 1. **Validation & Performance Tuning** + **Link Validation:** Verify physical connectivity and link health using tools like ibstat, ibdiagnet, and ethtool to identify faulty cables or transceivers immediately after installation by Field Engineers. + **Performance Testing:** Execute network-specific benchmarks (e.g., ib_write_bw, ib_send_bw, NCCL-tests)



to validate that the fabric is delivering full bi-sectional bandwidth and low latency. + **Congestion Control:** Implement and tune Quality of Service (QoS) settings, including Priority Flow Control (PFC), Explicit Congestion Notification (ECN), and Data Center Quantized Congestion Notification (DCQCN) to prevent packet loss and optimize throughput in RoCEv2 environments. 1. **Operations & Support** + **Fabric Telemetry:** Configure monitoring agents (e.g., Prometheus node exporters, UFM Telemetry) to visualize traffic flows and detect "tail latency" issues. + **Ticket Resolution:** Handle L2 support tickets for network issues, such as "Node isolation," "Slow All-Reduce operations," or "Fabric flapping." + **Lifecycle Management:** Execute firmware upgrades on switches and DPUs during maintenance windows, ensuring strict compatibility with the **NVIDIA OFED** **Essential Skills** **High-Performance Networking:** + **InfiniBand Mastery:** Deep operational knowledge of NVIDIA Quantum InfiniBand switches, cable types (NDR/HDR), and troubleshooting commands. + **AI Ethernet (RoCEv2):** Solid understanding of RDMA over Converged Ethernet (RoCEv2), including the configuration of PFC and ECN on switches (Spectrum/Arista/Cisco/Juniper). + **Fabric Management:** Experience with **NVIDIA UFM (Unified Fabric Manager)** for managing large-scale fabrics. **Automation & Tools:** + **NetDevOps:** Proficiency in **Ansible** for network automation (e.g., ansible-networking collections). + **Linux Networking:** Comfortable navigating Linux CLI to troubleshoot host-side networking (ip link, tcpdump, sysctl tuning). + **Protocol Knowledge:** Practical implementation skills in BGP, EVPN, and VXLAN for multi-tenant AI clouds.



**Desirable Experience** + **Cisco AI Integration:** Experience with Cisco Nexus Dashboard or Cisco 8000 series in an AI context. + **DPU Configuration:** Experience configuring **NVIDIA BlueField DPUs** and working with the DOCA framework. + **Optical Networking:** Ability to interpret transceiver signal levels (DOM/DDM) to diagnose Layer 1 optical faults. + **AI Fabric Orchestration:** Experience deploying and managing AI clusters using Netris or Cisco Nexus Hyperfabric AI to automate fabric provisioning and operations. **Certifications** **Highly Desirable:** + **NVIDIA-Certified Professional:** AI Networking (NCP-AIN) + **NVIDIA-Certified Associate:** AI Infrastructure and Operations (NCA-AIIO) + **Cisco Certified Network Professional (CCNP)** Data Center **Success Metrics (KPIs)** + **Fabric Efficiency:** Achieving >95% effective bandwidth efficiency on **NCCL-test** benchmarks across the provisioned cluster. + **Layer 1 Accuracy:** Zero "ghost links" or unstable connections handed over to the Compute team (all bad cables identified during the burn-in phase). + **Ticket Velocity:** Consistently meeting SLAs for network-related support tickets. WWT will consider for employment, without regard to disability, a disabled applicant who satisfies the requisite skill, experience, education, and other job-related requirements of the job and is capable of performing the essential requirements of the job with or without reasonable accommodation. World Wide Technology is an Equal Prospect Employer. Employment decisions are made without regard to race, color, religion, sex (including pregnancy), sexual orientation, gender identity, national origin, age, disability, veteran status, genetic information, or other characteristics protected by law. We are committed to working with and providing reasonable accommodations to individuals with disabilities. If you have a disability and you believe you need a reasonable accommodation in order to search for a job opening or to submit an online application, please call 1-(phone hidden) and ask for Human Resources.

📌 HPC Engineer (Network) (India)
🏢 World Wide Technology
📍 India