Intern - Manufacturing 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.

Responsibilities

Support equipment improvement initiatives by analyzing equipment performance, identifying improvement opportunities, and proposing solutions to enhance equipment reliability, efficiency, and productivity.; Collect and analyze equipment data to identify issues and support data-driven improvement activities.; Collaborate with Manufacturing Engineering and cross-functional teams to support continuous improvement projects.

Requirements

Currently pursuing a Bachelor's Degree in Electrical, Mechanical, Mechatronics, Manufacturing Engineering, or a related technical field.; Solid understanding of mechanical, electrical, electronic systems, and manufacturing equipment principles.; Strong analytical, problem-solving, and project management skills.

Nice to have

Knowledge of PLC, programming, and automation systems, combined with exposure to digitalization and Industry 4.0 practices such as IoT-based equipment monitoring, data analytics, or dashboard development is an advantage.