Senior HPC Systems Architect – Research Computing

The University of North Carolina; Charlotte (NC); On-site; USD 100,000 - 140,000; Full time

Job summary

The University of North Carolina Charlotte seeks a Senior HPC Systems Specialist to manage and advance our Research Computing HPC clusters and services. You will design, deploy, and maintain production HPC systems, working with researchers to optimize workflows and applications.

Reporting to the Director of University Research Computing, you may lead or supervise other staff, and you will help shape strategic directions for one of our core research computing groups.

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 of education and relevant work experience.
• Experience installing, maintaining, and optimizing HPC scientific applications, libraries, and toolchains ( MPI , OpenMP, CUDA , compilers, numerical libraries).
• Proficiency with HPC software management tools such as EasyBuild and Spack, and environment module systems such as Lmod.

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 members and contribute to strategic direction of University Research Computing.

Skills

HPC systems

MPI

OpenMP

CUDA

Compilers

Numerical libraries

EasyBuild

Spack

Lmod

Grafana

Prometheus

Slurm

Elastic Stack

Apptainer/Singularity

NVIDIA drivers

Container workflows

Education

Bachelor's degree

Tools

EasyBuild

Spack

Lmod

NVIDIA drivers

Apptainer/Singularity

Job description

The University of North Carolina Charlotte seeks a Senior HPC Systems Specialist to manage and advance our Research Computing HPC clusters and services. You will design, deploy, and maintain production HPC systems, working with researchers to optimize workflows and applications.

Reporting to the Director of University Research Computing, you may lead or supervise other staff, and you will help shape strategic directions for one of our core research computing groups.