Research Computing Systems Engineer

The University of Vermont

Location: Burlington, Vermont

Type: Full Time

Education: Bachelor's Degree

Experience: 1 - 2 Years

As Research Computing Systems Engineer, provide support for the Vermont Advanced Computing Center’s (VACC) research computing systems and helps build and maintain state-of-the-art high- performance computing (HPC) solutions for University of Vermont researchers. Join a team of Research Computing professionals that support the hardware, large-scale storage systems, cluster software, and researcher software. The VACC has four research clusters, including multi-thousand core “big compute” resources and GPU-focused resources, and a massive in-memory database cluster.

Provide support to computing and storage hardware infrastructure, as well as research computing services such as Slurm, OpenOnDemand and related technologies. Directly support UVM’s goal of enhancing IT resources and infrastructure available to the UVM research community.

 

Work with department IT staff to install, maintain, and support research software and tools used by the UVM research community. In collaboration with Research Computing Facilitators, respond to a wide range of requests submitted by researchers, providing guidance in software installation and troubleshooting. Assess the needs of faculty and help adjust the compute resources to best meet faculty needs for research and academic purposes. Actively support academic use of VACC resources, working with faculty to expand HPC into the classroom. Support publicly accessible web applications that are tailored to research projects.

 

Scripting is an important skill for cluster administration and helping users take advantage of the VACC cluster. A change to any part of the VACC resources is likely to affect hundreds of users, working on millions of dollars of research, therefore systematic attention to detail, careful planning and judgement are critical.

 

This is an entry- to mid-level position.

Minimum Qualifications (or equivalent combination of education and experience)

Combination of education and/or applicable experience equivalent to a Bachelor’s degree in STEM related field.

Knowledge of Linux operating systems, network architecture and Linux shell scripting.

Excellent troubleshooting skills.

Excellent customer service ethic, effective communication skills and collaborative approach to teamwork.

Excited about learning, evaluating new technologies, and sharing this information with others.

Ability to work effectively on team and independent projects, with ability to self-direct and adjust to shifts in priorities.

Exposure to at least one systems programming language (C, C++, Python, Perl, Rust, etc…).

 

Desirable Qualifications

Prior experience with high performance computing systems and scientific software.

Experience with system and network debugging.

Configuration management experience.

An appreciation for infrastructure as code.

Experience with Apache, Nginx, or other web server software.

Familiarity with virtualization and/or container technologies (VMware, Proxmox, KVM, Podman, Singularity).

Exposure to HPC technologies, such as job schedulers like Slurm, package managers like Spack, CUDA, HIP.

Knowledge of scalable NoSQL database systems (sharded MongoDB, Redis, Cassandra).

Experience compiling, installing, and running open-source software.

Experience in debugging and tuning of software applications on HPC clusters.

Experience with common scientific libraries and applications.

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