Job Title

Position Overview (Job Summary): The role is for anHPC Engineerresponsible fordesigning, deploying, managing, and optimizinganon-premises High Performance Computing (HPC)environment. The environment includesSLURM-managed CPU and GPU clusters . Strong emphasis onHPC architecture, Linux administration, job scheduling, and cluster operations . Experience withparallel/distributed storage (WekaFS, Scality)ispreferred but optional . Primary Skills: HPC Operations & Cluster Management (CPU & GPU) SLURM Workload Manager (Mandatory) Install/configure/manage SLURM across multiple clusters Partitions/queues, fairshare, job priority, scheduling policies Upgrades, migrations, automation via API/integrations Linux System Administration (RHEL focus) OS patching, hardening, tuning, package management Troubleshooting & Performance Optimization Cluster health, node/job failures, bottlenecks, utilization optimization Parallel Computing Knowledge MPI, OpenMP, distributed execution fundamentals Secondary Skills (Preferred / Optional): Storage / Parallel File SystemsWekaFS(preferred optional) Scality RING / ARTESCA(preferred optional) GPU Computing Exposure NVIDIA drivers, CUDA familiarity, GPU scheduling concepts Monitoring Tools Grafana, Prometheus Automation / Scripting Bash/Python for workflows, tooling, ops automation HPC Ecosystem Components InfiniBand/100G networking, monitoring tools, storage tiering concepts SLURM-based HPC clusters Linux (RHEL) administration Multi-node distributed systems (Optional) Storage platforms likeWekaFS / Scality Role and Responsibilities: A. Key Responsibilities 1) HPC Infrastructure & Operations Manage day-to-day operations ofon-prem CPU & GPU clusters Monitorhealth, performance, utilization ; ensureavailability & efficiency Implement best practices for: HPC operations user management resource administration Troubleshoot: networking issues node failures job failures performance bottlenecks User support: job submissions resource usage HPC workflows 2) SLURM Workload Manager (Mandatory) Configure/install/manage SLURM acrossmultiple clusters Manage: queues partitions node allocation policies fair share policies job prioritization Handle: SLURM upgrades migrations maintenance activities Work with SLURM APIs/integrations for: automation custom workflows Optimize scheduling formixed CPU/GPU workloads 3) Linux System Administration Administer: compute nodes head nodes admin servers Perform: OS updates package installs security patching system tuning Automate via: shell scripting (Bash/Python) 4) Parallel Computing & Cluster Architecture Understand and support workloads using: MPI OpenMP distributed execution Work with HPC building blocks: high-speed interconnects (InfiniBand/100G) storage tiers resource managers monitoring tools Diagnose and resolve: parallel workload performance issues B. Additional Responsibilities (Optional / Preferred Area) 5) Storage (Optional but Preferred) A. WEKA (WekaFS) Manage/tune parallel file system performance Troubleshoot WekaFS issues with minimal downtime Provide internal guidance and usage best practices Track ecosystem improvements & recommend enhancements B. Scality Maintain and troubleshoot: Scality RING ARTESCA environments Monitor/tune for high availability & reliability Create documentation (configuration + SOPs) Recommend performance improvements based on product enhancements