NPI System Interaction Intern: AI, Automation & Dashboards

Hewlett Packard Enterprise

Singapore

On-site

SGD 13,000 - 20,000

Full time

14 days+

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Job summary

Hewlett Packard Enterprise in Singapore is offering a College Intern – NPI System Interaction Engineer role. You will identify opportunities to streamline engineering workflows, develop AI/automation scripts, dashboards, and data templates to boost productivity and reporting accuracy.

We seek students pursuing a Bachelor's or Master's in relevant engineering or CS fields who can commit to 5-6 months full-time starting January 2027, with interest in AI tools, data analytics, and cross-time-zone

Qualifications

Currently pursuing a Bachelor's or Master's degree in Electrical, Mechanical, Material, Software Engineering, Data Science, Computer Science, or a related major.
Able to commit for a 5-6 months full time internship, starting in January 2027.
Interest or experience in AI tools, automation, scripting, data analytics, dashboarding, or workflow digitization.
Knowledge or interest in inkjet print systems, printhead integration, reliability testing and statistics, and R&D product life cycle execution.
Ability to work well in a team and collaborate across different time zones.
Growth mindset, flexibility, and adaptability.

Responsibilities

Identify opportunities to improve engineering workflows by reducing manual effort, simplifying data consolidation, and improving process visibility.
Develop or support AI/automation solutions such as scripts, dashboards, workflow tools, or data templates to improve productivity, reporting accuracy, and decision-making.
Assist in product development processes by translating market needs into technical requirements and connecting workflow improvements to engineering execution needs.
Contribute to design, testing, and characterization of initial and over-life product performance at the system level, including automation of test data analysis and reporting.
Support issue resolution by assisting in lean problem-solving and using digital tools to improve tracking, follow-up, and knowledge reuse.
Collaborate with local and international teams, including engineering and manufacturing partners, to understand workflow needs and support smooth product launches.