Software Engineering Intern, Product & Developer Productivity; Summer

Who We Are

HP IQ is HP’s new AI innovation lab. Combining startup agility with HP’s global scale, we’re building intelligent technologies that redefine how the world works, creates, and collaborates.

We’re assembling a diverse, world-class team—engineers, designers, researchers, and product minds—focused on creating an intelligent ecosystem across HP’s portfolio. Together, we’re developing intuitive, adaptive solutions that spark creativity, boost productivity, and make collaboration seamless.

We create breakthrough solutions that make complex tasks feel effortless, teamwork more natural, and ideas more impactful—always with a human-centric mindset.

By embedding AI advancements into every HP product and service, we’re expanding what’s possible for individuals, organisations, and the future of work.

Join us as we reinvent work, so people everywhere can do their best work.

HP IQ's Product Integrity & Developer Productivity team is responsible for building next-generation tools and systems that improve developer productivity and product quality  are specifically investing in agentic systems that automate complex workflows, from intelligent JIRA triage and root-cause analysis to test planning and quality automation. In this internship role, you will work directly with our hiring manager and team to design, build, and deploy agents that utilize pre-trained machine learning models to solve real problems for developers and quality engineers.

This is an exceptional opportunity to be part of a team navigating the fundamental shift toward agentic development and to contribute meaningfully to tools that thousands of developers will rely on.

As an intern on our team, you'll contribute to real-world engineering projects that explore how AI can improve the way software is built, tested, and maintained. Depending on business priorities and your team's needs, you may have the opportunity to:

• Design, build, and iterate on AI-powered tools and workflows that improve engineering productivity.
• Develop intelligent systems that help automate software development, testing, debugging, or quality assurance processes.
• Prototype and evaluate new approaches for applying large language models (LLMs) and agentic AI to solve complex engineering challenges.
• Collaborate with software engineers, machine learning engineers, product managers, designers, and other cross-functional partners to deliver impactful solutions.
• Participate in technical design discussions, code reviews, and collaborative problem-solving sessions.
• Analyze technical challenges, propose innovative solutions, and contribute fresh ideas that improve products, tools, and engineering workflows.
• Build, test, and iterate on production-quality software while learning modern engineering best practices.
• Present your work, share technical learnings, and contribute to a collaborative engineering culture.

• Currently pursuing or recently completed a bachelor's or graduate degree in Computer Science, Engineering, or a related field.
• Solid understanding of coding fundamentals and comfort with at least one programming language; you should be able to learn new languages and frameworks as needed.
• Familiarity with agentic systems, AI tools (such as Claude Code or OpenAI), or model utilization in applications; deep machine learning expertise is not required as we focus on using pre-trained models, not building them.
• Ability to break down complex problems into manageable steps and solve them independently while knowing when to ask for help.
• Willingness to question established processes and propose alternative approaches; comfort in an environment that values fresh thinking and continuous improvement.
• Strong communication skills;…