College Intern – Hardware Test Automation & AI Engineer

HP; Singapore; On-site; SGD 20,000 - 27,000; Full time

Job summary

HP is seeking a College Intern for the Hardware Test Automation & AI Engineer track in Singapore. You will join the LaserJet Hardware R&D Lab to gain hands-on experience in hardware testing, automation, analytics, and applying AI to test workflows.

You will develop automation tools, prototype AI-powered solutions, and help document dashboards and AI-enabled workflows for broader adoption. This role emphasizes collaboration across hardware, software, and data teams to improve product quality and

Qualifications

• Currently pursuing a Bachelor's degree in Computer Science, Data Science, AI, Computer/Electrical/Electronic Engineering, Mechatronics or related field.
• Available for a full-time internship of at least 6 months, starting around May 2027.
• Programming experience in Python, SQL, R, LabVIEW or similar.
• Exposure to test automation, data analytics, ML, 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.

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.

Skills

Python

SQL

R

LabVIEW

Education

Bachelors in CS/AI/Engineering

Tools

LabVIEW

Job description

College Intern – Hardware Test Automation & AI Engineer

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.

Qualifications and Experience

• 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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