Software Engineering Intern, Product & Developer Productivity - HP IQ

HP

San Francisco (CA)

On-site

USD 55,000 - 69,000

Full time

4 days ago
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Benefits offered by this job

Health insurance
Dental insurance
Vision insurance
Long term/short term disability
Employee assistance program
Flexible spending account
Life insurance
Generous time off, parental leave

Job summary

HP IQ's Product Integrity & Developer Productivity team is offering a Software Engineering Intern role to design, build, and deploy AI-powered agents that boost developer productivity and improve software quality at scale. You will work with a hiring manager and cross-functional teammates to explore agentic workflows, run reviews, and deliver production-ready tools used by thousands of developers.

This internship provides hands-on experience with real-world ML models, modern development

Qualifications

  • Pursuing or recently completed a degree in Computer Science, Engineering, or related field.
  • Strong coding fundamentals and ability to learn new languages.
  • Familiarity with AI tools or agentic systems is a plus.
  • Ability to break down complex problems independently.
  • Excellent communication and teamwork.

Responsibilities

  • Design, build, and iterate on AI-powered tools to boost developer productivity.
  • Collaborate with engineers and product partners on production-ready features.
  • Prototype and evaluate LLM approaches for agentic AI.
  • Participate in design reviews and code reviews.
  • Present work and share learnings with the team.
  • Ensure production-quality software while learning best practices.

Skills

Coding fundamentals
Problem solving
Communication
Independent work
Curiosity

Education

Bachelor's or graduate degree in CS/Engineering or related field

Tools

JIRA
CI/CD
Testing frameworks

Job description

Software Engineering Intern, Product & Developer Productivity - HP IQ

HP IQ's Product Integrity & Developer Productivity team is responsible for building next-generation tools and systems that improve developer productivity and product quality at scale. We 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.

What You Might Do

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.
Essential Qualifications
  • 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; ability to explain your reasoning clearly and articulate the logic behind your technical choices.
  • Familiarity with software development workflows, quality assurance, testing practices, or developer tooling (helpful but not required).
Preferred Skills
  • Experience building or working with automation tools or systems that improve workflow efficiency.
  • Exposure to or familiarity with JIRA, continuous integration/continuous deployment (CI/CD) systems, or testing frameworks.
  • Experience working in cross-functional teams or in environments where you collaborated with people from different technical backgrounds.
  • Understanding or coursework in machine learning, AI, or agent systems.
  • Example projects demonstrating agentic thinking, such as personal projects using AI tools to automate tasks.

Hourly Pay Range: $40.00–$50.00 per hour. Actual compensation will be determined based on factors such as skills, qualifications, and experience.

2027 Internship Program Dates: May/June–August/September 2027. Final dates will be based on student schedules.

Compensation & Benefits (Full-Time Employees)

The salary range for this role is listed above. Final salary offered is based upon multiple factors including individual job-related qualifications, education, experience, knowledge and skills.

  • 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 tenure11 paid holidays
  • Additional flexible paid vacation and sick leave (US benefits overview)

Job - Administration Schedule - Full time Shift - No shift premium (United States of America) Travel - Relocation - Equal Opportunity Employer (EEO).

Equal Opportunity Employer (EEO) - HP, Inc. provides equal employment opportunity to all employees and prospective employees, without regard to race, color, religion, sex, national origin, ancestry, citizenship, sexual orientation, age, disability, or status as a protected veteran, marital status, familial status, physical or mental disability, medical condition, pregnancy, genetic predisposition or carrier status, uniformed service status, political affiliation or any other characteristic protected by applicable national, federal, state, and local law(s). Please be assured that you will not be subject to any adverse treatment if you choose to disclose the information requested. This information is provided voluntarily. The information obtained will be kept in strict confidence. For more information, review HP’s EEO Policy or read about your rights as an applicant under the law here: “Know Your Rights: Workplace Discrimination is Illegal".

You want to reshape the way the world works. So do we. You’re looking for more than just a job; you’re looking to make a difference. That means creating something new. Something that matters. Something that changes how the world works for the better. A career at HP can help you build the tomorrow you want. Let’s grow together.

Privacy, Terms of Use, and Accessibility Our founders believed that business exists when people work together to ‘accomplish something collectively which they could not accomplish separately.’ We uphold a zero-tolerance policy towards discrimination and treat everyone with respect. By maintaining these principles, we empower the HP team to contribute to our collective success and the future of work. Learn more about HP personal data practices at Privacy Statement, Personal Data Rights Notice (where applicable), Accessibility at HP, and Terms. You can be yourself at HP. Learn more

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