Student Assistant II - High Performance Computing

Position Type:

Visa Sponsored Job:

Relocation Assistance Eligible:

Hiring Range:

*Final salary and rates are based on education, experience, and skills relevant to the role.

Application Closes at 12:00am MST on:

• Test and verify platform workflows, new functionality, and supporting documentation before release. Review documentation as an end-user to confirm it is accurate, complete, and easy to understand, and provide written feedback and recommendations for improvement. Validates that documented procedures produce the expected results on the Kubernetes-based CIRRUS environment.
• Develops and maintains reusable, repeatable workflows that validate new workloads onboarded to the platform. Modifies and runs existing workflows, scripts, and manifests, and proposes improvements to the validation process. Documents these workflows so other team members and platform users can reuse them.
• Authors, edits, and improves CIRRUS documentation, including user-facing guides and onboarding material, for an audience of scientific and HPC-background users. Writes clear technical documentation and may help produce technical reports, walkthroughs, or presentations on platform functionality.
• Develops knowledge of the CIRRUS platform and atmospheric and Earth system science workloads. Gains experience with platform operations under the supervision of senior staff. Additional tasks may be assigned from time to time.

• Must be enrolled (and intend to enroll in the next regular session) for credit in an accredited secondary or post-secondary school, college or university, or in a trade school that has received a Certificate or Approval from the Colorado State Board for Community Colleges and Occupational Education.

• Basic familiarity with Linux and containers (e.g., Docker or Podman), gained through coursework, personal projects, or prior work.
• Ability to work with a team and convey technical concepts to engineers and platform users.
• Good oral and written communication skills, with an aptitude for clear technical writing and documentation.
• Ability to follow moderately complex procedures/practices.

• Experience with at least one scripting language such as Python or Bash.
• Interest in Kubernetes
• Familiarity with Git and version control.
• Familiarity with scientific or high-performance computing environments.

For full consideration, all application materials must be submitted by 12am (MST) at the start of the application deadline. These should highlight how your skills and experiences align with the responsibilities of this position. We recognize that no candidate will meet 100% of the listed qualifications. If you believe your background has prepared you for success in this role, we encourage you to apply.

Supplemental questionnaires are often requested in lieu of a cover letter, where you address critical skills needed for the position. Your answers will be read and weighed equally to your resume and should provide specific, detailed, and informative responses based on your direct and previous work experiences.

Background checks and/or federal screenings are conducted for candidates selected for hire.

UCAR is an Equal Opportunity Employer and welcomes applications from all individuals. We do not discriminate on the basis of race, age, sex, gender identity, disability, veteran status, or any other characteristic protected by law. Applicants are not required to provide age-related information (like date of birth or graduation dates) in initial submissions.

For sponsored positions: UCAR can sponsor individuals for H-1B status only if they are already in the U.S. in H-1B status or another visa status that allows them to change to H-1B status within the U.S. UCAR is unable to sponsor new H-1B visas for individuals who are outside the U.S. and need to obtain H-1B status through Consular Processing.

While UCAR does not prohibit the use of AI tools in job applications, we strongly recommend that applicants submit primarily original work.

All roles require compliance with U.S. export control regulations and work location requirements. All hybrid staff are expected to work on-site approximately 3 days per week.