System Administrator

MGIS is seeking a System Administrator, Level 2, to manage High Performance Computing (HPC) clusters and support the scientists who rely on them. This role blends HPC system administration with hands‑on user support — helping researchers install, run, and debug applications on HPC infrastructure so they can focus on their science instead of IT issues.

HPC environments in scope include clustered CPU/GPU systems with job schedulers and attached parallel storage (e.g., Lustre, GPFS).

• Maintain the HPC cluster — hardware, image management, local networking, scheduler, and backups
• Troubleshoot environment incidents to ensure a quick return to normal operations
• Meet with scientists to evaluate their HPC support requirements
• Develop task plans to meet researchers' needs, consulting the technical authority for approval
• Support application builds, installs, and runtime troubleshooting (GNU, Intel, Fortran, Nvidia)
• Support open‑source and commercial software, including Python/Anaconda installs, Bash scripting, build/make tools, Easy Build, Spack, and MPI implementations (MPICH, OpenMPI, IntelMPI, HPMPI)
• Assist with compilation and runtime of in‑house developed applications
• General systems management:
  Linux OS patching schedules and reliability
• Manage user accounts (creation, deletion) and environment modules
• Manage configuration via Git, MS Dev Ops, and Ansible Playbooks
• Manage RPM/DEB packages and troubleshoot Thin Linc
• Troubleshoot jobs on schedulers (PBS Pro/Torque, SLURM, SGE)
• Ensure reliable CUDA installs; troubleshoot GPU failures and CUDA software/driver issues
• Provide hardware support — memory upgrades, storage arrays, power/network cabling, ILO
• Document every process and task to support enterprise knowledge continuity
• Submit weekly progress reports to the Technical Authority

• Solid experience administering Linux-based HPC clusters (CPU/GPU nodes, schedulers, parallel storage)
• Hands‑on experience with job schedulers such as PBS Pro/Torque, SLURM, or SGE
• Experience troubleshooting CUDA installations, GPU failures, and driver issues
• Familiarity with scientific computing tool chains — compilers (GNU, Intel), MPI implementations, Easy Build, and Spack
• Experience supporting researchers or end‑users with application builds and runtime issues
• Working knowledge of configuration management tools (Git, Ansible, MS Dev Ops)
• Comfortable working independently and producing clear technical documentation
• Eligible to obtain and maintain a Secret‑level security clearance