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Boise, ID

Internship

Onsite

$23/hr - $35/hr

Intern

HP is a leading technology company committed to innovation and fostering a diverse workplace. The Artificial Intelligence Data Systems Intern will work with the Advanced Technical Support team to build tools and insights that enhance customer experience and support data-driven decision-making.

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Responsibilities

Design, build, and maintain one or more databases with the ability to integrate with existing internal tools
Develop scripts or applications to extract, analyze, and summarize data in meaningful, actionable ways
Integrate the use of Artificial Intelligence wherever applicable to maximize engineering efficiency
Collaborate directly with ATS engineers—both onsite and virtually—to understand customer issues, hardware teardown insights, and software workflows
Participate in discovery sessions, requirement gathering, and solution design with guidance from ATS and AMS Print program management
Document technical approaches, processes, and outcomes clearly
Support investigations into hardware or software behaviors to expand your understanding of the business

Qualification

Required

Junior or senior currently pursuing a bachelor's degree in computer science, Data Science, Software Engineering, Information Systems, Electrical Engineering, or another closely related technical field, preferably with a focus or coursework in Artificial Intelligence
U.S. citizen — no work authorization sponsorship is offered now or in the future
Local to Boise, Idaho — relocation is not provided
In‑person availability required for onsite collaboration with ATS engineers
Returning to school after the internship
Ability to work Monday–Friday during standard business hours
Ability to write code and develop basic data systems (e.g., Python, SQL, NoSQL, or similar)

Preferred

Data science knowledge (coursework or hands‑on experience preferred but not required)
Program management or project coordination experience (preferred but not required)
Familiarity with integrating databases with dashboards or analytical tools
Interest in understanding hardware teardown processes or software debug workflows
Strong communication skills and willingness to collaborate in a technical environment
Students attending an Idaho‑based university are preferred