Job Summary
The Center for High Performance Computing (CHPC) is seeking to fill part-time positions that support CHPC’s mission to enable research and innovation through advanced computing infrastructure, technical services, and user support at the University of Utah. Program participants will receive hands-on experience in a professional technical environment. Positions are structured to provide meaningful project work, defined learning or professional development objectives, and supervised access to CHPC systems appropriate to the role.
The Center for High Performance Computing is looking for a student intern to work with a team of students and full-time employees to use AI and Large Language Models to look at web content, network content, and configuration content in order to provide feedback.
The student will be learning about monitoring protocols such as SNMP, sFlow, NetFlow, IPFIX. The student will also use tools such as traceroute, perfSONAR, pScheduler, and mLabs NDT. The student will utilize this knowledge to develop instrumentation and visualization of different systems that comprise a typical datacenter. The student will also learn about containers and automated provisioning.
The student will need to demonstrate basic programming skills and scripting skills. The student should be able to work tightly in a team environment.
The student will be working in a team environment with individual responsibilities. The student must be able to both work alone and work in a team. The student must be able to communicate well with others, both written and verbally. Part of the responsibilities will be to document work, document code, and document aspects of a datacenter.
Responsibilities
- Go through a series of tutorials and reading which we will provide
- Participate in CHPC training courses
- learn to install applications in containers
- learn how to create basic web bots and other agents
- Work with tools such as Grafana, Performance Co-Pilot, influxdb, Prometheus, Victoria Metrics, perfSONAR
- Learn how to utilize different large language models
- Learn to pull information from network equipment, computer equipment, power equipment, infrastructure instrumentation
- Learn to analyze computer networks for anomalies
- Contribute to the creation digital twin
Minimum Qualifications
EQUIVALENCY STATEMENT: 1 year of higher education can be substituted for 1 year of directly related work experience (Example: bachelor’s degree = 4 years of directly related work experience).
Program Assistant, I: Requires little to no related experience.
- aggressive learning attitude and willingness to jump in and try things
- ability to learn by reading, using search engines, and other sources
- ability to run with a topic with full self motivation
Preferences
- currently enrolled undergraduate student
- familiarity with scripting, i.e. Bash, zsh, powershell
- familiarity with databases
- familiarity with git version control system
- familiarity with databases
- familiarity with containers, i.e. Docker, LXD, Rocket, LXC, Charliecloud, etc.
- familiarity with automation tools such as Ansible, Puppet, Chef,
- familiarity with GitHub, GitOps, CI/CD pipelines
- familiarity with YAML for configuration
- familiarity with different LLM engines and models
- basic working knowledge of a command line interface, preferably Linux
- some demonstrated experience with programming or scripting languages, e.g. C, Python, Go, PERL, Java, C++, etc.
- demonstrated technical writing skills for documentation, including diagramming
Additional Information
The University is a participating employer with Utah Retirement Systems (“URS”). Eligible new hires with prior URS service, may elect to enroll in URS if they make the election before they become eligible for retirement (usually the first day of work). Contact Human Resources at (801) 581-7447 for information. Individuals who previously retired and are receiving monthly retirement benefits from URS are subject to URS’ post-retirement rules and restrictions. Please contact Utah Retirement Systems at (801) 366-7770 or (800) 695-4877 or University Human Resource Management at (801) 581-7447 if you have questions regarding the post-retirement rules.
This position may require the successful completion of a criminal background check and/or drug screen.
The University of Utah values candidates who have experience working in settings with students and possess a strong commitment to improving access to higher education.
Veterans’ preference is extended to qualified applicants, upon request and consistent with University policy and Utah state law. Upon request, reasonable accommodations in the application process will be provided to individuals with disabilities.
Consistent with state and federal law, the University of Utah does not discriminate based upon race, ethnicity, color, religion, national origin, age, disability, sex, sexual orientation, gender, gender identity, gender expression, pregnancy, pregnancy-related conditions, genetic information, or protected veteran’s status. The University does not discriminate on the basis of sex in the education program or activity that it operates, as required by Title IX and 34 CFR part 106. The requirement not to discriminate in education programs or activities extends to admission and employment. Inquiries about the application of Title IX and its regulations may be referred to the Title IX Coordinator, to the Department of Education, Office for Civil Rights, or both.
To request a reasonable accommodation for a disability or if you or someone you know has experienced discrimination or sexual misconduct including sexual harassment, you may contact the Director/Title IX Coordinator in the Office of Equal Opportunity and Title IX (OEO). More information, including the Director/Title IX Coordinator’s office address, electronic mail address, and telephone number can be located at the: University of Utah Non‑Discrimination page.
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