College Intern – Hardware Test Automation & AI Engineer
About the role
What a College Intern – Hardware Test Automation & AI Engineer does at HP
- You will join our LaserJet Hardware R&D Lab and gain practical experience in LaserJet hardware testing, test automation, engineering data analytics and the application of generative AI and AI agents to R&D test workflows.
- Support hardware qualification and validation activities within LaserJet Hardware R&D Lab.
- Develop automation tools and scripts to improve test execution, data collection, analysis and reporting.
- Explore and prototypes AI-powered solutions and agents for test planning, data analysis, troubleshooting and engineering productivity.
- Analyze and visualizes engineering test data to identify trends, anomalies, and improvement opportunities.
- Collaborate with hardware and test engineers to understand validation workflows and implement practical automation solutions.
- Document and validates tools, dashboards, and AI-enabled solutions for broader team adoption.
- Contribute to improving product quality, test efficiency, and digital innovation through automation and AI technologies.
Responsibilities
- Test Automation: Develop scripts or tools to improve hardware test execution, data collection, analysis and reporting.
- AI Agent Exploration: Explore and prototype AI tools and agents for test planning, data analysis, summarization, troubleshooting and dashboard development.
- Data Analytics: Analyze and visualize test data to identify trends, anomalies and improvement opportunities.
- Collaboration: Work with Hardware R&D and test engineers to develop, validate, and document automation and AI solutions.
Individuals who do well in this role at HP, usually possess
- Currently pursuing a Bachelor's degree in Computer Science, Data Science, Artificial Intelligence, Computer/Electrical/Electronic Engineering, Mechatronics, Mechanical Engineering or a related field.
- Available for a full-time internship of at least 6 months, starting around May 2027.
- Programming experience in languages such as Python, SQL, R, LabVIEW or similar.
- Exposure to test automation, data analytics, machine learning, generative AI, or AI agent development through coursework or projects.
- Strong analytical and problem-solving skills with an interest in applying software and AI to real-world engineering challenges.
- Ability to interpret data, identify insights, and communicate findings effectively.
- Demonstrates learning agility, collaboration, digital fluency, and a passion for innovation.
- Comfortable working in a multidisciplinary environment involving hardware, software, data, and AI technologies.
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