Intern

About the Role

The Center for High Performance Computing (CHPC) at the University of Utah is seeking part-time student interns. This role offers hands-on experience in a professional technical environment, focusing on meaningful project work, defined learning objectives, and supervised access to CHPC systems. Interns will work with a team to use AI and Large Language Models (LLMs) to analyze web content, network content, and configuration content, providing feedback.

Key Responsibilities

• Go through provided tutorials and reading materials.
• 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, and perfSONAR.
• Learn how to utilize different Large Language Models.
• Learn to pull information from network equipment, computer equipment, power equipment, and infrastructure instrumentation.
• Learn to analyze computer networks for anomalies.
• Contribute to the creation of a digital twin.
• Document work, code, and aspects of a datacenter.

Requirements & Tech Stack

• Demonstrate basic programming skills and scripting skills.
• Ability to work tightly in a team environment.
• Ability to work alone and in a team.
• Ability to communicate well with others, both written and verbally.
• 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.
• Monitoring protocols to learn: SNMP, sFlow, NetFlow, IPFIX.
• Tools to use: traceroute, perfSONAR, pScheduler, mLabs NDT.
• Concepts to learn: containers and automated provisioning.
• Work with systems that comprise a typical datacenter.

Qualifications

• Currently enrolled undergraduate student.
• Minimum Qualifications (or equivalency of 1 year of higher education for 1 year of experience): Requires little to no related experience.

Preferences

• Familiarity with scripting, i.e. Bash, zsh, powershell.
• Familiarity with databases.
• Familiarity with git version control system.
• 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.