Senior HPC Systems Engineer - Research Computing Lead

University of North Carolina at Charlotte; Charlotte (NC); On-site; USD 120,000 - 160,000; Full time

Job summary

University of North Carolina at Charlotte seeks a Senior HPC Systems Specialist to join the University Research Computing team. The role reports to the Director and ensures reliable operation of HPC facilities, delivering systems management, upgrades, and user support.

The position may lead or supervise staff, contribute to strategic direction, and collaborate with researchers to optimize workflows and performance in high-performance computing environments.

Qualifications

• Bachelor's degree and 4+ years of progressively responsible experience designing, provisioning, administering, and supporting production HPC systems and clusters; or an equivalent combination.
• Experience with HPC software management tools such as EasyBuild and Spack, and environment module systems such as Lmod.
• Experience supporting researchers in higher education or research environments by troubleshooting job failures, optimizing workflows, debugging application issues, and providing technical guidance.

Responsibilities

• Support the ongoing operation of the Research Computing facilities, including systems management and maintenance.
• Develop and deploy upgraded capability, and interact with and support users.
• Direct the technical work of other staff and contribute to shaping the strategic direction of University Research Computing.

Skills

HPC leadership

Team supervision

Education

Bachelor's degree + 4+ years HPC

Tools

MPI

OpenMP

CUDA

compilers

numerical libraries

EasyBuild

Spack

Lmod

Grafana

Prometheus

Slurm

NVIDIA drivers

Apptainer/Singularity

Job description

University of North Carolina at Charlotte seeks a Senior HPC Systems Specialist to join the University Research Computing team. The role reports to the Director and ensures reliable operation of HPC facilities, delivering systems management, upgrades, and user support.

The position may lead or supervise staff, contribute to strategic direction, and collaborate with researchers to optimize workflows and performance in high-performance computing environments.