AI-Powered QA Intern: Build Smart Developer Tools

Hewlett Packard Co.; San Francisco (CA); On-site; USD 55,000 - 69,000; Full time

Benefits offered by this job

Health insurance

Dental insurance

Vision insurance

Disability insurance

Employee assistance program

Flexible spending account

Life insurance

Paid parental leave

Paid holidays

Paid vacation

Job summary

Hewlett Packard Co. in San Francisco invites an Software Quality Assurance Intern to contribute to AI-powered tooling that enhances developer productivity and product quality at scale. You will work with engineers, ML specialists, and product teams to design and deploy agentic AI solutions.

The internship emphasizes real-world projects, collaboration, and learning modern engineering practices while exploring AI’s role in software testing and quality assurance.

Qualifications

• Pursuing or recently completed a bachelor’s or graduate degree in Computer Science, Engineering, or a related field.
• Solid understanding of coding fundamentals and ability to learn new languages/frameworks as needed.
• Familiarity with agentic AI tools or model utilization in applications; deep ML is not required.

Responsibilities

• Design, build, and iterate on AI-powered tools and workflows that improve engineering productivity.
• Develop intelligent systems to automate software development, testing, debugging, or QA processes.
• Prototype and evaluate approaches for applying LLMs and agentic AI to engineering challenges.
• Collaborate with engineers, ML engineers, product managers, and designers to deliver solutions.

Skills

Programming fundamentals

AI tools familiarity

Cross-functional teamwork

Communication skills

Learning agility

Education

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

Tools

JIRA

CI/CD

Job description

Hewlett Packard Co. in San Francisco invites an Software Quality Assurance Intern to contribute to AI-powered tooling that enhances developer productivity and product quality at scale. You will work with engineers, ML specialists, and product teams to design and deploy agentic AI solutions.

The internship emphasizes real-world projects, collaboration, and learning modern engineering practices while exploring AI’s role in software testing and quality assurance.