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).

What you'll be doing - 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, EasyBuild, 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 workplace modules - Manage configuration via Git, MS DevOps, and Ansible Playbooks - Manage RPM/DEB packages and troubleshoot ThinLinc - 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 Requirements - 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 toolchains — compilers (GNU, Intel), MPI implementations, EasyBuild, and Spack - Experience supporting researchers or end‑users with application builds and runtime issues - Working knowledge of configuration management tools (Git, Ansible, MS DevOps) - Comfortable working independently and producing clear technical documentation - Eligible to obtain and maintain a Secret‑level security clearance

📌 System Administrator (Canada)
🏢 MGIS
📍 Canada