UU Student - Computer at University of Utah in Salt Lake City, Utah

Job Description:

Details

Open Date 04/29/2025

Requisition Number PRN15843N

Job Title UU Student - Computer

Working Title UU Student - Computer

Job Grade SJ

FLSA Code Nonexempt

Patient Sensitive Job Code? No

Type Non Benefited Staff / Student

Temporary? No

Standard Hours per Week 19.20

Full Time or Part Time? Part Time

Shift Day

Work Schedule Summary

M-F 8 am to 5 pm

Is this a work study job? No

VP Area Academic Affairs

Department 00640 - CHPC Ctr for High Perform Computing

Location Campus

City Salt Lake City, UT

Type of Recruitment External Posting

Pay Rate Range 15.00

Close Date 07/28/2025

Priority Review Date (Note - Posting may close at any time)

Job Summary

As a part-time member of CHPC’s software infrastructure team, you will be involved in the entire software development lifecycle, including design, implementation, and maintenance/troubleshooting. The primary focus is on enterprise software systems internal to CHPC , which includes enterprise data management. Analytics and performance monitoring are also frequently addressed.

Responsibilities

• Software development and operational support, primarily with Python, Go.

• You will be part of a small software team and part of the larger CHPC staff, which includes systems and datacenter professionals, and a cadre of scientific computing facilitators.

• You will work closely with CHPC staff to develop and maintain internal software tools for supporting CHPC operations.

• You may also work directly with CHPC users to support their research computing and data needs.

Minimum Qualifications

Preferences

Must be a University of Utah student.

• Proficient with at least one scripting language (e.g. Python, Javascript, Bash)

• Familiarity with system programming languages (e.g. C, C++, Go, Java)

• Comfortable with software development collaboration tools, such as Git.

• Familiarity with Linux and terminal shell environments.

• Familiarity with data analysis technologies, such as SQL , and common data formats ( CSV , JSON ).

• Experience with scientific computing is a plus.

• Experience with scientific research workflows is a plus.

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