Intern, Manufacturing Engineering

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

Machine trouble shoot and maintenance.; Coordinate and oversee the day-to-day activities and workflow of Equipment Technicians, ensuring alignment with operational priorities.; Perform data-driven analysis to maximize equipment availability for manufacturing processes, identifying and implementing improvements that enhance production equipment efficiency, and minimize unscheduled downtimes.; Documents (FMEA/Training material /SOP) generation ,update and maintenance.; Line abnormal, quality issue, yield loss investigation and in time action taken.; Lead continue improvements projects on machine performance improvement , cost reduction, process, yield, quality, capacity and productivity improvements.; Work with Process , R&D on new material and package development for machine related items.; Machine/tooling buy-off and standardization.; Follow up customer audit and action implement.; 8D prepare and presentation for quality issues related to Equipment; Support other function teams for key projects.; Basic understanding of PLC/Python/Power BI/C++ programing language.

Requirements

Bachelor or above in engineering or mechanical/electrical engineering.; Fresh graduates are encourage to apply.; Machine / Mechanical knowledge in design and optimization.; Technical Skills; Equipment Installation, set up and qualification.; Preventive Maintenance and Predictive Maintenance,; PLC fundamantals; Servo Motors, sensor, actuators, and motion control; Robotic and automation system; Reading and understand equipment schematic diagram; Understand Machine safety standard,etc; Manufacturing & Process Knowledge; Lean Manufacturing,; Overall Equipment Effectiveness OEE,; Yield Improvement,; Cost Reduction Initiatives,; production support and line balancing, etc; Project management; Project Planing; Timeline Management; Data and Digital Skills (; AI assisted troubleshooting,; Predictive Maintenance; loT and Industrial 4.0 concepts; Data Visualization and Dashboard creation etc..; Ability to work effectively with multi-functional team member, with good communication skills.

Nice to have

Expertized in data analysis, and problem solving; Familiar with MS365, and Understanding of PLC/Python/PowerBI/C++ programming language.