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. Backed by Sequoia.
About the role
This position is part of our Early Career program at WD. Our Early Career program is designed to support individuals beginning their professional career by providing the foundational training through a structured onboarding, mentorship, and development curriculum.
What they're looking for
- Currently pursuing or recently completed Master's degree in Manufacturing Engineering, Industrial Engineering, Mechanical Engineering , or equivalent experience
- Fundamental understanding of manufacturing processes, production flow, and capacity concepts gained through coursework or academic projects
- Basic knowledge of productivity improvement and industrial engineering principles (e.g., line balancing, cycle time, throughput)
- Introductory understanding of OEE / equipment efficiency metrics
- Ability to support production capacity and output gap analysis under guidance
- Basic awareness of manufacturing cost concepts and willingness to participate in cost improvement activities
More about this role
- Support Manufacturing Engineering team in resolving production capacity‑related issues
- Assist in productivity and DGR improvement activities through data analysis and process studies
- Support capacity line setup, line conversion, scheduling, and production ramp‑up activities
- Participate in day‑to‑day production capacity and output gap analysis and issue resolution
- Support OEE / TEEP data collection, analysis, and improvement initiatives
- Assist in coordinating manufacturing cost improvement projects
- Support capital budget requests, purchase requisitions, and on‑time equipment ordering tracking
- Develop and improve team processes by creating or supporting digital applications using AI, Industry 4.0 (4IR), and other digital technologies to improve efficiency
This position is part of our Early Career program at WD. Our Early Career program is designed to support individuals beginning their professional career by providing the foundational training through a structured onboarding, mentorship, and development curriculum.
We warmly welcome fresh graduates of a Master's degree, and Early Career Talent with 0–2 years of experience are encouraged to apply.
- Currently pursuing...
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