Intern - Manufacturing & Logistics Engineering
Confirmed on the employer's own hiring board on Nov 8, 2026. First seen by Alion on Nov 5, 2026. Western Digital scores B on the Alion truth index.
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.
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
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
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