**About the Role** The **HPC Engineer - Storage** acts as the primary execution engine for the data persistence layer that feeds the AI Factory. While the Domain Architect designs the tiering strategy and namespace layout, you are the "Builder" responsible for mounting filesystems, tuning client-side I/O, and ensuring data reaches the GPUs at line rate. You are a "doer" who is as comfortable compiling a custom kernel module for a parallel filesystem as you are debugging a stale NFS handle. As a System Integrator, we design and deliver bespoke, high-scale AI factories. In this role, you will move beyond standard enterprise NAS management to execute the deployment of ultra-high-performance parallel file systems 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 "Storage" leg of the critical "Compute-Network-Storage" triad, ensuring that "I/O Wait" never becomes the bottleneck for training jobs. **Key Responsibilities** 1. **Storage Integration & Client Configuration** + **Client Provisioning:** Execute the deployment of high-performance storage clients (VAST, Weka, GPFS/Spectrum Scale, Lustre) on bare-metal DGX/HGX nodes using Ansible. + **Protocol Configuration:** Configure and tune **RDMA-based protocols** (NVMe-oF, NFS over RDMA, GPUDirect Storage) to bypass the CPU and deliver data directly to GPU memory. + **Kubernetes Integration:** Install and troubleshoot **CSI (Container Storage Interface)** drivers to ensure energetic provisioning of Persistent Volumes (PVs) for AI workloads running in K8s. + **Mount Management:** Manage complex mount maps and automounter configurations to ensure consistent namespace views across thousands of compute nodes. 1. **Validation & Performance Benchmarking** + **Throughput Testing:** Execute standard I/O benchmarks to validate that the storage subsystem meets the "Gold Standard" read/write targets (e.g., 400GB/s read throughput).



+ **Latency Tuning:** Tune client-side kernel parameters (read-ahead buffers, queue depths, sysctl settings) to minimize latency for small-file random I/O patterns common in checkpointing. + **Acceptance Reporting:** Generate "As-Built" storage validation reports, documenting effective throughput and IOPS for client sign-off. 1. **Operations & Support** + **Capacity & Quotas:** Implement project-level quotas and monitor usage trends to prevent "Disk Full" outages on critical scratch filesystems. + **Ticket Resolution:** Handle L2 support tickets for storage issues, such as "Stale file handles," "Slow dataset loading," or "CSI Driver crashes." + **Lifecycle Management:** Execute non-disruptive client-side driver upgrades and firmware patches during maintenance windows. **Essential Skills** **High-Performance Storage:** + **Parallel Filesystems:** Hands-on operational experience with at least one major AI storage platform: **VAST Data, Weka.io, DDN Lustre (Exascaler), or IBM GPFS (Spectrum Scale)** . + **Linux I/O Stack:** Deep understanding of the Linux VFS (Virtual File System), block devices, and how to debug I/O performance using tools like iostat, iotop, and strace. + **RDMA Storage:** Experience configuring **NVMe-over-Fabrics (NVMe-oF)** or NFS-over-RDMA, understanding the dependency on the underlying InfiniBand/RoCE network. **Automation & Containerisation:** + **Ansible Storage:** Proficiency in writing Ansible playbooks to automate the installation of storage clients and configuration of mount points. + **Kubernetes Storage:** Understanding of **StorageClasses** , **PVCs** , and how to debug **CSI Driver** pods (checking logs for mount failures).



+ **GPUDirect:** Conceptual understanding of **NVIDIA GPUDirect Storage (GDS)** and the ability to verify if GDS is active. **Desirable Experience** + **Vendor Specifics:** Deep certification or experience with **Pure Storage (FlashBlade)** or **NetApp ONTAP** AI configurations. + **Object Storage:** Experience interacting with S3-compatible object stores via CLI for model weight retrieval. + **Data Migration:** Experience using tools like fpsync or rclone to move petabyte-scale datasets between tiers. **Certifications** **Highly Desirable:** + **NVIDIA-Certified Associate:** AI Infrastructure and Operations (NCA-AIIO) + **Vendor Certifications:** + VAST Certified Administrator (VCP-AD1) + WEKA Technical Xpert Certification + **Red Hat Certified Specialist in Storage Administration** **Success Metrics (KPIs)** + **I/O Performance:** Achieving >95% of the theoretical line-rate throughput on **IOR/FIO** benchmarks for provisioned clients. + **Mount Stability:** Zero "Stale File Handles" or disconnected mounts across the cluster during the 72-hour burn-in period. + **Ticket Velocity:** Consistently meeting SLAs for storage-related support tickets. #LI-RB1 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 Opportunity 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 (Storage) (India)
🏢 World Wide Technology
📍 India