HPC Systems & Scheduler Administrator

• Manage OS-level configuration, patching, and hardening of HPC compute nodes, login nodes, and head nodes.
• Ensure stability and security compliance in coordination with company’s cybersecurity policies.
• Serve as the primary subject matter expert for the Slurm workload manager.
• Manage partition configurations, node scheduling policies, fairshare/priority weighting, reservation management, and Quality of Service (QoS) tiers.
• Manage environment module frameworks, compiler toolchains, MPI libraries, and application runtime environments.
• Administer and maintain Linux Virtual Desktop environment.
• Deploy and maintain comprehensive system monitoring for compute, scheduler, and Linux VDI environments.
• Design and tune scheduling configurations to maximize throughput and minimize queue latency.
• Profile and tune system-level performance bottlenecks including network fabric, I/O subsystems, and memory bandwidth.
• Support Linux-side user provisioning, group management, SSH key governance, and sudo/privilege management.

Schedule Development, Systems Administration/Management, Software Patches, Operating Systems, Internet Security, Security Compliance, Maintain Compliance, Weighting, Configuration Management, QoS (Quality of Service), * Advanced Linux administration skills (RHEL/CentOS/Rocky Linux ecosystem preferred).

• Deep expertise with Slurm Workload Manager (configuration, troubleshooting, performance tuning).
• Experience administering Linux virtual desktops or thin-client environments.
• Experience managing environment modules, compiler toolchains, and MPI runtimes (OpenMPI, Client MPI, etc.).
• Experience with HPC networking concepts (latency optimization, MPI tuning, high interconnects).
• HPC Linux systems administration experience in a production environment.
• Proficiency with system monitoring and observability tooling.

Preferred Skills:

• AWS cloud HPC experience (AWS ParallelCluster, EC2 HPC instances, EFA networking).
• Experience contributing to or supporting a CI/CD pipeline for HPC configurations.
• Familiarity with GPU compute environments (CUDA runtime, GPU partitioning in Slurm).
• Knowledge of cybersecurity hardening standards for Linux HPC.
• Scripting proficiency in Python, Bash, or Ansible for automation.