HPC Engineer (Storage)

World Wide Technology; India; In loco; INR 2.000.000 - 4.000.000; Tempo pieno

Descrizione del lavoro

World Wide Technology, Inc. seeks an HPC Engineer - Storage to design and operate ultra-high-performance parallel storage for AI workflows. You will mount filesystems, optimize I/O, and ensure data streams reach GPUs at line rate within the AI Factory environment.

Responsibilities include deploying storage clients on DGX/HGX nodes with Ansible, configuring NVMe-oF/NFS-over-RDMA, integrating with Kubernetes CSI, and benchmarking to meet gold-standard throughput and latency targets.

Competenze

• Hands-on experience with at least one major AI storage platform (e.g., VAST, Weka, Lustre, GPFS).
• Deep understanding of the Linux I/O stack and debugging I/O performance with iostat, iotop, and strace.
• Experience configuring NVMe-oF or NFS-over-RDMA and awareness of InfiniBand/RoCE networks.

Mansioni

• Storage integration and client configuration.
• Deploy high-performance storage clients on bare-metal DGX/HGX nodes using Ansible.
• Configure and tune RDMA-based protocols to bypass the CPU and deliver data to GPU memory.
• Install and troubleshoot CSI drivers for dynamic provisioning of PVs in Kubernetes.
• Manage complex mount maps and automounter configurations across thousands of compute nodes.
• Execute throughput and latency benchmarks and report results.
• Perform driver upgrades during maintenance windows and handle storage-related tickets.
• Implement quotas and monitor usage to prevent disk-full outages.

Conoscenze

Parallel filesystems

Linux I/O stack

RDMA storage

Ansible storage

Kubernetes storage

GPUDirect Storage

Strumenti

VAST Data

Weka.io

DDN Lustre (Exascaler)

IBM GPFS (Spectrum Scale)

Ansible

CSI Drivers

Descrizione del lavoro

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

• 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 dynamic 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.


• 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.


• 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.

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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.