At Western Digital, our vision is to power global innovation and push the boundaries of technology to make what you thought was once impossible, possible.

At our core, Western Digital is a company of problem solvers. People achieve extraordinary things given the right technology. For decades, we’ve been doing just that—our technology helped people put a man on the moon and capture the first-ever picture of a black hole.

We offer an expansive portfolio of technologies, HDDs, and platforms for business, creative professionals, and consumers alike under our Western Digital®, WD®, and WD_BLACK™.

We are a key partner to some of the largest and highest-growth organizations in the world. From enabling systems to make cities safer and more connected, to powering the data centers behind many of the world’s biggest companies and hyperscale cloud providers, to meeting the massive and ever-growing data storage needs of the AI era, Western Digital is fueling a brighter, smarter future.

Today’s exceptional challenges require your unique skills. Together, we can build the future of data storage.

ESSENTIAL DUTIES AND RESPONSIBILITIES:

• 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.

REQUIRED:

• Currently pursuing or recently completed X 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
• Willingness to learn and assist with capital equipment justification, purchase requests, and order tracking
• Strong interest in applying AI, Industry 4.0, and digital technologies to improve manufacturing efficiency

PREFERRED:

• Internship, co‑op, or project experience in a manufacturing or production environment
• Exposure to line setup, line conversion, or production ramp‑up through internships or university projects
• Coursework or project experience in Lean Manufacturing, Six Sigma, or Continuous Improvement
• Experience using data analysis tools (Excel, dashboards, basic simulations) for capacity or productivity analysis
• Academic or project exposure to AI, data analytics, automation, smart manufacturing, or digital factory concepts
• Familiarity with manufacturing KPIs such as output, yield, OEE, or cycle time

SKILLS:

• Fundamental manufacturing engineering and process analysis skills
• Basic capacity planning and productivity improvement skills
• Data analysis and structured problem‑solving ability
• Ability to support OEE/TEEP improvement activities
• Strong learning agility and willingness to work hands‑on in a production environment
• Teamwork and collaboration with Manufacturing Engineering and Operations teams
• Clear communication and basic technical presentation skills
• Proficiency in Microsoft Excel and PowerPoint
• Curiosity and an innovative mindset toward AI, 4IR, and digital application development

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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].