Software Engineering Intern

HPFort Collins, CO
Onsite

About The Position

HP, Inc. is seeking a Software Engineering Intern for a 12-week paid summer internship in Fort Collins, Colorado. This program is designed to enhance learning experiences, provide opportunities to make an impact, and foster networking. The internship involves applying classroom knowledge to real-world challenges, with a balance of networking, executive speakers, community involvement, significant projects, and social activities. HP is a global technology company with a diverse portfolio and a commitment to an inclusive workplace, aiming to engineer experiences that amaze. The Workforce Solutions (HPWS) unit focuses on using technology to improve employee experience, productivity, and global footprint. HPWS leverages HP's portfolio of PCs, printers, and collaboration gear, along with AI-enabled software and services, to solve customer problems. They offer software and services for IT decision-makers to manage device fleets, managed and professional services for enterprise technology monitoring, and customer support throughout the device lifecycle, from configuration to recycling.

Requirements

  • Currently enrolled in a four-year college and returning to school following the internship.
  • Current junior rising senior graduating in fall 2026- spring 2027.
  • Able to obtain work authorization in the United States in 2027, and not require sponsorship in the future.
  • Must be currently eligible to work in the US AND must not require work authorization sponsorship in the future.
  • HP, Inc. will not provide any assistance or sign documentation in support of immigration sponsorship including Curricular Practical Training (CPT) or Optional Practical Training (OPT).

Nice To Haves

  • Familiarity with AI-driven tools and Large Language Models (LLMs).
  • Understanding of Single Sign-On (SSO) concepts and large-scale or enterprise deployments.
  • Experience building or contributing to chatbots or conversational AI systems.
  • Hands-on experience or strong conceptual understanding of Retrieval-Augmented Generation (RAG).
  • Strong problem-solving skills with the ability to work independently.
  • A collaborative mindset: team player, self-motivated, and self-driven.
  • Preferred Majors: BE Computer Science or relevant Major.

Responsibilities

  • Design, develop, and maintain a multi-modal Retrieval-Augmented Generation (RAG) system to index and retrieve content from ADO Wiki, including both text and image-based resources.
  • Enable natural language querying capabilities to improve accessibility and efficiency of information retrieval across teams.
  • Optimize system performance to deliver accurate, reliable, and timely responses, reducing dependency on manual support and ad hoc communication channels.
  • Drive continuous improvement of internal knowledge management by enhancing the structure, usability, and adoption of ADO Wiki as a centralized source of truth.
  • Implement AI-driven solutions to automate code documentation, including analysis of codebases and generation of structured, high-quality technical documentation.
  • Develop and maintain documentation processes that clearly describe system architecture, core modules, and critical logic flows.
  • Integrate automated documentation tools into the development lifecycle to ensure alignment with ongoing code changes and updates.
  • Collaborate with engineering teams to improve code maintainability, readability, and overall documentation standards.
  • Support onboarding efforts by creating accessible, up-to-date technical documentation and knowledge resources.
  • Contribute to improving engineering efficiency by reducing time spent on knowledge discovery, legacy code analysis, and manual documentation tasks.

Benefits

  • Health insurance
  • Dental insurance
  • Vision insurance
  • Long term/short term disability insurance
  • Employee assistance program
  • Flexible spending account
  • Life insurance
  • Generous time off policies, including; 4-12 weeks fully paid parental leave based on tenure
  • 13 paid holidays
  • 15 days paid time off
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