Intern - Manufacturing & Logistics Engineering

Location: Phra Nakhon Si Ayutthaya,, BangPa-in, th Employment Type: {'id': 'intern', 'label': 'Intern'}

Company Description

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 Description

POSITION SUMMARY

Support the Manufacturing Engineering team in studying, analyzing, and improving ISA tray transportation processes across the production line. The intern will contribute to developing standardized control procedures and proposing a real-time monitoring system to enhance traceability, efficiency, and process reliability.

ESSENTIAL DUTIES AND RESPONSIBILITIES

Study and map the current ISA tray transportation flow across manufacturing and production lines

Collect and analyze tray movement data to identify bottlenecks, inefficiencies, or risk points

Propose standardized transportation control procedures for ISA trays with documented SOPs

Design and propose a real-time ISA tray monitoring system (tracking logic, dashboard concept, or alert mechanism)

Collaborate with manufacturing, engineering, and operations teams to validate proposals

Present findings and recommendations to stakeholders at internship conclusion

Qualifications

Required

Currently pursuing a Bachelor's degree in Logistics, Supply Chain Management, Industrial Engineering, Manufacturing Engineering, or related field

Proficiency in MS Office (Excel, PowerPoint, Word)

Basic programming or data tool skills — e.g., Python, VBA, SQL, or Power BI

Strong communication, listening, and interpersonal skills

Ability to work on-site in a manufacturing environment

Preferred

Familiarity with material flow, warehouse management, or production logistics concepts

Exposure to process mapping tools (e.g., Visio, Lucidchart, or equivalent)

Basic understanding of IoT, RFID, or barcode-based tracking systems

Interest in HDD, flash, semiconductor, components, or nonvolatile memory industry

Knowledge of Lean Manufacturing or continuous improvement methodology

Additional Information

#LI-BI1

WD thrives on the power and potential of diversity. As a global company, we believe the most effective way to embrace the diversity of our customers and communities is to mirror it from within. We believe the fusion of various perspectives results in the best outcomes for our employees, our company, our customers, and the world around us. We are committed to an inclusive environment where every individual can thrive through a sense of belonging, respect and contribution.

WD is committed to offering opportunities to applicants with disabilities and ensuring all candidates can successfully navigate our careers website and our hiring process. Please contact us at [email protected] to advise us of your accommodation request. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

Notice To Candidates: Please be aware that WD and its subsidiaries will never request payment as a condition for applying for a position or receiving an offer of employment. Should you encounter any such requests, please report it immediately to WD Ethics Helpline or email [email protected].