Software Engineer, Python, AI Engineer (Applied/Software)
Listed on 2026-08-18
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Software Development
Software Engineer, Python, AI Engineer (Applied/Software), DevOps
Details
Open Date 08/13/2026
Requisition Number PRN
45929B
Job Title Software Development Engineers
Working Title Software Engineer
Career Progression Track P00
Track Level P3 - Career, P2 - Developing, P1 - Entry Level Pro
FLSA Code Computer Employee
Patient Sensitive Job Code? No
Standard Hours per Week 40
Full Time or Part Time? Full Time
Shift Day
Work Schedule Summary
Monday – Friday, 8am-5pm
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 $39,815- $133,730
Close Date 09/13/2026
Priority Review Date (Note - Posting may close at any time)
Job Summary
About the Center for High Performance Computing ( CHPC )The Center for High Performance Computing ( CHPC ) at the University of Utah provides advanced computing and data systems and services that support cutting‑edge scholarship and innovation across all disciplines. The CHPC partners with faculty, researchers, and institutional stakeholders to design and operate, scalable and performant computing environments that enable data‑intensive and computationally complex research. In addition to supporting traditional high‑performance computing workloads, the CHPC plays a critical role in developing and maintaining computational environments for artificial intelligence (AI) and research with sensitive information that must meet federal and sponsor compliance requirements.
Through collaboration, technical expertise, and a commitment to service, the CHPC advances the University of Utah’s research mission by delivering reliable, trustworthy, and forward‑looking research computing infrastructure.
The Software Infrastructure team at CHPC seeks a software engineer with an emphasis on full‑stack web development in Django/Python, Go, SQL, Java script, HTML and CSS. Focus will be on developing and integrating enterprise web applications for CHPC staff and end‑user researchers, with opportunities to work and train in a variety of other software and technical domains (see below). This is a hybrid in‑office role, and some weekly in‑office presence at CHPC is required.
The Software Infrastructure team is responsible for a variety of software and data systems, from design and development to operations. You will work closely with other software engineers, sysadmins and research‑computing professionals. Relevant software domains include but are not limited to: enterprise web applications and databases, command‑line interfaces, version‑control and software collaboration systems (git), observability and analytics, modern Linux systems, cloud‑native software, high‑performance computing, and scientific and research computing (including ML/AI).
This is a primarily internal software‑facing team that typically does not interact directly with server hardware, nor directly with end‑user researchers, though opportunities may arise. In this frontend‑focused role, however, direct interactions with researchers are expected during the development of end‑user interfaces.
This position requires technical proficiency that overlaps significantly with the above technologies and domains, specifically Python and/or Go. Strong communication skills are required. The role is expected to conduct work assignments of increasing complexity, in a timely manner, under moderate supervision with latitude for independent judgment.
Learn more about the great benefits of working for University of Utah: benefits.utah.edu The department may choose to hire at any of the below job levels and associated pay rates based on their business need and budget.Responsibilities
Focus will be on developing and integrating enterprise web applications for CHPC staff and end‑user researchers.
General job duties involve the full software development lifecycle, including:
- collaboratively design and implement new high‑quality software based on requirements
- test, deploy and maintain software and data systems
- understand risks and trade‑offs of software‑architectural decisions
- analyze pertinent datasets
- document, consult and troubleshoot for users and collaborators
- responsibly leverage generative AI tools
- be…
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