Role Title: Senior HPC EngineerReports To: Domain Architect - AI ComputeLocation: Remote, India (Must align with Client Time Zone)Employment Type: Full-TimeAbout The RoleThe 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 ResponsibilitiesHands-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.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.,Technical CompetenciesEssential SkillsHPC & 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 ExperienceNetwork 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)Deployment Velocity: Reduction in /"Time-to-Hello-World/" (time from power-on to running the first successful GPU job) for new clusters.Code Quality: >95% of Pull Requests pass automated linting and require fewer than 2 review cycles before merge.Stability: Zero /"Configuration Drift/" incidents in production (e.g., manual changes breaking the cluster) due to strict IaC enforcement.
Job Title
Senior HPC Engineer