Senior HPC Systems Engineer - Research Computing

University of Vermont

Burlington (VT)

Hybrid

USD 80,000 - 116,000

Full time

2 days ago
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Job summary

University of Vermont in Burlington, VT seeks a Research Computing Systems Engineer to support VACC HPC hardware, storage, and software.Сandidates will administer Linux systems, optimize clusters, and assist researchers with Slurm-based workflows. The role involves collaboration with faculty to adapt resources for education and research, including Open OnDemand and Jupyter support.

A hybrid campus/telework arrangement is available.

Qualifications

  • Bachelor’s degree in STEM related field.
  • 5 years of Linux Systems Administrator/Engineer experience.
  • Strong Linux knowledge, network architecture, and shell scripting.
  • Excellent debugging and troubleshooting skills.
  • Customer-focused with good communication and teamwork.
  • Able to learn new technologies and evaluate adoption suitability.
  • Configuration management and infrastructure as code experience.
  • Proficiency in at least one systems programming language (C/C++, Python, etc.).

Responsibilities

  • Provide expert support for HPC hardware and software at VACC.
  • Install, maintain, and support research software and tools.
  • Respond to researchers with guidance on software installation and troubleshooting.
  • Help adjust compute resources to meet faculty needs and expand HPC into the classroom.

Skills

Linux administration
Shell scripting
System debugging
Troubleshooting
Customer service
Communication
Configuration management
Infrastructure as code
C/C++
Python
Teamwork

Education

Bachelor's degree in STEM

Tools

Slurm
Lmod
Spack
CUDA
Ansible
VMware
Proxmox
KVM
Podman
Apptainer
MongoDB
InfiniBand
MPI
Open OnDemand
Jupyter
GPFS

Job description

University of Vermont in Burlington, VT seeks a Research Computing Systems Engineer to support VACC HPC hardware, storage, and software.Сandidates will administer Linux systems, optimize clusters, and assist researchers with Slurm-based workflows. The role involves collaboration with faculty to adapt resources for education and research, including Open OnDemand and Jupyter support.

A hybrid campus/telework arrangement is available.

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