Senior HPC Engineer at World Wide Technology Healthcare Solutions

, , India -

Full Time

Start Date

Immediate

Expiry Date

19 May, 26

Salary

0.0

Posted On

18 Feb, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

HPC, AI Infrastructure, NVIDIA BCM, Slurm, DGX/HGX, RHEL, Ansible, Python, Git, Docker, Kubernetes, InfiniBand/RoCEv2, Lustre, Infrastructure-as-Code, Technical Leadership, Performance Tuning

Industry

IT Services and IT Consulting

Description

Technical Competencies Essential Skills * HPC & AI Infrastructure: * Expert-level knowledge of NVIDIA Base Command Manager (BCM) or Metal-as-a-Service (MaaS) provisioning tools. * Deep understanding of Slurm configuration (cgroups, plugin development, accounting). * Proficiency with NVIDIA DGX/HGX hardware architecture and the associated software stack (Drivers, CUDA, DCGM). * Linux & Automation (DevOps for Hardware): * Mastery of Red Hat Enterprise Linux (RHEL) / Ubuntu internals (Systemd, Kernel Tuning, Hugepages). * Advanced proficiency in Ansible (writing custom modules/roles) and Python (automating admin tasks). * Experience with Git workflows (Branching, PRs, CI/CD). * Containerisation: * Hands-on experience with Docker, Singularity/Apptainer, and Kubernetes (specifically NVIDIA GPU Operator and NVIDIA Network Operator). Desirable Experience * Network Awareness: Ability to troubleshoot basic InfiniBand/RoCEv2 issues (ibstat, perf query) to distinguish between a "Node Issue" and a "Network Issue." * Storage Integration: Experience mounting high-performance parallel file systems (VAST/Lustre/WEKA/GPFS) and tuning client-side performance. * Certifications: * NVIDIA Certified Associate - AI in the Data Center. * Red Hat Certified Engineer (RHCE). * CKA (Certified Kubernetes Administrator). Success Metrics (KPIs) 1. Deployment Velocity: Reduction in "Time-to-Hello-World" (time from power-on to running the first successful GPU job) for new clusters. 2. Code Quality: >95% of Pull Requests pass automated linting and require fewer than 2 review cycles before merge. 3. Stability: Zero "Configuration Drift" incidents in production (e.g., manual changes breaking the cluster) due to strict IaC enforcement. Qualifications Role Title: Senior HPC Engineer Reports To: Domain Architect - AI Compute Location: India (Must align with Client Time Zone) Employment Type: Full-Time About the Role The Senior HPC Engineer is the "Foreman" of the “AI Factory”. While the Domain Architect defines the architectural vision, you are responsible for the hands-on build and deployment. You act as the Technical Squad Lead for our offshore engineering teams, bridging the gap between the onshore architectural vision and the hands-on execution. As a System Integrator, we thrive on velocity and precision. You will not just "maintain" clusters; you will lead the automated deployment of NVIDIA SuperPOD and BasePOD infrastructure for global enterprise clients. You are the "Lieutenant" to the Domain Architect, translating High-Level Designs (HLDs) into executable Ansible playbooks and ensuring your squad of HPC Engineers delivers defect-free infrastructure. In this role, you are 100% Delivery-Focused, split between Technical Leadership (40%) and Hands-on Engineering (60%). You are the escalation point for complex kernel panics, the guardian of our Infrastructure-as-Code (IaC) repository, and the mentor who unblocks junior engineers when a Slurm job fails to schedule. CRITICAL REQUIREMENT: This role typically operates on Shift Hours to align with the onshore client's time zone (e.g., early shifts for Australian clients, or split shifts for European clients). Key Responsibilities 1. Hands-on Engineering & Automation (60%) * Cluster Provisioning Factory: * Lead the deployment of NVIDIA Base Command Manager (BCM) (formerly Bright Cluster Manager) to provision bare-metal DGX/HGX nodes at scale. * Develop and maintain the Ansible / Terraform library used to configure OS settings, user authentication (LDAP/AD), and storage mounts across hundreds of nodes. * Execute HPL (High-Performance Linpack) and NCCL-tests to validate cluster performance, tuning BIOS and OS parameters to hit "Gold Standard" benchmarks. * Scheduler & Workload Orchestration: * Configure complex Slurm Workload Manager policies, including Fair Share, Preemption, and GPU Partitioning (MIG). * Integrate Kubernetes-based orchestrators (e.g., NVIDIA Base Command, Run:AI, or Red Hat OpenShift) with the underlying HPC hardware. * Deep-Dive Troubleshooting: * Debug "Silent Data Corruption" and "Xid Errors" on GPUs, analysing nvidia-smi logs and kernel message buffers (dmesg). * Diagnose fabric-related performance drops (e.g., Identifying a specific flapping link causing global slowdowns) in collaboration with the Network Squad. 1. Squad Leadership & Quality Assurance (40%) * Technical Direction (The "Foreman"): * Translate the Low-Level Design (LLD) provided by the Domain Architect into granular Jira tasks for your squad of HPC Engineers. * Conduct daily stand-ups to unblock engineers, clarifying requirements and making technical decisions on the fly (e.g., "Use Ansible roles, not shell scripts for this"). * Code Quality & Governance: * Act as the Primary Gatekeeper for the code repository. Perform mandatory Code Reviews on all Pull Requests (PRs) to ensure idempotency and error handling. * Enforce "Config-as-Code" discipline, ensuring no manual changes are made to production clusters without a committed playbook. * Mentorship: * Guide mid-level and junior engineers on best practices for Linux Systems Administration and HPC environments.

Responsibilities

The engineer will lead the hands-on build and automated deployment of NVIDIA SuperPOD and BasePOD infrastructure, acting as the Technical Squad Lead for offshore teams executing architectural visions. This involves 60% hands-on engineering, including cluster provisioning and deep-dive troubleshooting, and 40% technical leadership, code review, and mentorship.