Intern: Smart Factory Process & Digitalization

Hewlett Packard Enterprise

Singapore

On-site

SGD 8,900 - 18,000

Full time

4 days ago
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Job summary

Hewlett Packard Enterprise Singapore is offering a College Intern position in Process and Digitalization. You will work with the engineering team to develop smart factory solutions using AI, IIoT, and automation in our high-speed manufacturing environment.

Ideal candidates hold a Bachelor's or Master's in Mechanical, Manufacturing, Automation, Computer Engineering, Data Science/Analytics/AI, and can commit to 5–6 months full-time starting January 2027.

Qualifications

  • Pursuing or completed degree in a relevant field such as Mechanical, Manufacturing, Automation, Computer Engineering or Data Science/AI.
  • Available for a 5–6 month full-time internship starting Jan 2027.
  • Strong communication and teamwork; ability to communicate ideas clearly.

Responsibilities

  • Collaborate with engineering to develop smart factory solutions using AI/IIoT and automation.
  • Work with high-speed semiconductor packaging tools in a manufacturing setting.
  • Participate in concurrent projects on production, sustainability and new product introduction.

Skills

Power BI
Power Automate
Robotic Process Automation
Artificial Intelligence
Machine Learning
Data Analytics
Programming
Teamwork
Communication

Education

Bachelor's degree in Mechanical Engineering
Bachelor's degree in Manufacturing Engineering
Bachelor's degree in Automation Engineering
Bachelor's degree in Computer Engineering
Bachelor's degree in Data Science/Analytics/AI
Master's degree in Mechanical Engineering

Tools

Power BI
Power Automate
Robotic Process Automation (RPA)

Job description

Hewlett Packard Enterprise Singapore is offering a College Intern position in Process and Digitalization. You will work with the engineering team to develop smart factory solutions using AI, IIoT, and automation in our high-speed manufacturing environment.

Ideal candidates hold a Bachelor's or Master's in Mechanical, Manufacturing, Automation, Computer Engineering, Data Science/Analytics/AI, and can commit to 5–6 months full-time starting January 2027.

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