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Software Development Engineers

Job in Salt Lake City, Salt Lake County, Utah, 84193, USA
Listing for: University of Utah
Full Time position
Listed on 2026-10-17
Job specializations:
  • Software Development
    AI Engineer (Applied/Software), Software Engineer, Machine Learning/ ML Engineer, Cloud Engineer - Software
Salary/Wage Range or Industry Benchmark: 55000 - 81000 USD Yearly USD 55000.00 81000.00 YEAR
Job Description & How to Apply Below

Pay Rate Range Software Dev Eng I- $50,000 to $75,000 Software Dev Eng II- $60,000 to $87,000

Close Date

Close Date 11/05/2026

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

Job Summary

The SCI Institute

The SCI Institute is a world-class research institute located within the new Warnock Engineering Building on the University of Utah campus. We are a highly dynamic, driven group of over 170 faculty, staff, and students. The overarching goals of the SCI Institute’s scientific computing research are to create new techniques, tools, and systems, by which scientists may solve problems affecting various aspects of human life.

We believe that to advance the state-of-the-art and create meaningful computational solutions for such complex systems, one needs to advance research in a number of areas within scientific computing, including: visualization, simulation, and modeling. The SCI Institute presents a highly challenging, collaborative work environment that can be deeply rewarding for the right individual. Further information is available at http://www.sci.utah.edu/ .

We are seeking multiple Software Development Engineers with experience and interest in state-of-the‑art AI technologies, data science, and research software engineering. These positions offer the opportunity to work in a world‑renowned research institute alongside faculty, software engineers, PhD students, and Post Docs on the development of cutting‑edge AI‑ready/agentic infrastructure and data systems.

The Software Development Engineer I/II designs, develops, tests, deploys, and maintains software applications, platforms, and services that support advanced research, artificial intelligence, cloud computing, and data infrastructure initiatives. This position contributes to the development of scalable, secure, and reliable software solutions that enable AI‑driven innovation, data integration, scientific workflows, and emerging technology adoption. Working as part of a multidisciplinary team, the Software Development Engineer participates in all phases of the software development lifecycle, including requirements gathering, system design, development, testing, deployment, documentation, and ongoing support.

The position collaborates with researchers, scientists, technical staff, government partners, and industry collaborators to develop software solutions that support initiatives, including the NSF
-funded SAFE
-AI (Sandbox for Accelerated Feedback and Experimentation for AI Innovation), and National Data Platform ( NDP ). This will include development and support of secure AI experimentation environments, cloud‑native applications, federated data platforms, high‑performance computing integrations, and AI‑enabled research ecosystems.

A Software Development Engineer I works under general supervision while building foundational software engineering skills and contributing to project deliverables. A Software Development Engineer II demonstrates increased technical proficiency, contributes to system architecture and design decisions, and independently leads components of software development projects.

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 Software Design and Development
  • Design, develop, test, deploy, and maintain software applications, services, APIs, databases, and cloud‑based systems.
  • Participate in the full software development lifecycle, including requirements analysis, technical design, implementation, testing, deployment, and maintenance.
  • Develop scalable and reliable solutions that support AI, machine learning, data science,…
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