Intern - Equipment Engineer

WD is building the infrastructure behind the AI-driven data economy.

As AI scales, so does data. Every interaction, every model, every system generates data that must be stored, managed, and made accessible over time. That’s where we come in.

We combine deep engineering expertise with global-scale manufacturing to deliver the storage systems that make AI possible, powering hyperscale data centers, cloud platforms, and enterprise infrastructure worldwide.

This isn’t theoretical work. It’s real systems, at real scale, people solving some of the hardest challenges in technology today.

We’re looking for people who want to build, solve, and operate at that level.

Join us and let’s shape the future of data.

Job Summary

This internship offers a hands-on opportunity to gain exposure to equipment engineering, automation systems, and Industry 4.0 initiatives within a high-tech manufacturing environment. The intern will work alongside experienced engineers to support equipment performance improvement through digitalization, online monitoring, smart device applications, and operational data analytics.

Responsibilities

Support equipment engineering activities including automation systems, data analytics, and Industry 4.0 initiatives within the manufacturing environment.; Contribute to internship projects focused on equipment performance improvement through digitalization, online monitoring systems, smart device applications, and operational data analysis.; Assist in developing dashboards and reports to visualize equipment performance data and support data-driven decision making.; Collaborate with cross-functional teams (Equipment, Process, IT) to identify improvement opportunities and support IoT / smart device deployment.; Participate in troubleshooting activities and document findings, standard operating procedures, and technical reports.

Requirements

Currently pursuing a Bachelor's degree in Engineering (final-year student), available for internship of at least 3 months starting October 2026.; Programming and data analytics (e.g., Python, SQL, or equivalent); Dashboard development (Power BI preferred); Basic knowledge of automation and control systems; Hands-on experience with IoT or smart device projects (academic or personal projects acceptable); Strong problem-solving, analytical thinking, and communication skills; Ability to work independently as well as collaboratively in a team environment; Proactive learning attitude and interest in manufacturing technology and Industry 4.0

Nice to have

Electrical & Electronic Engineering (EEE); Mechatronics Engineering; Automation / Instrumentation Engineering; Computer Engineering