Senior Engineer, 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.

ESSENTIAL DUTIES AND RESPONSIBILITIES:

• Support Manufacturing Engineering team inresolving production capacity‑related issues
• Assist inproductivity and DGR improvement activities through data analysis and process studies
• Supportcapacity line setup, line conversion, scheduling, and production ramp‑up activities
• Participate inday‑to‑day production capacity and output gap analysis and issue resolution
• SupportOEE / TEEP data collection, analysis, and improvement initiatives
• Assist in coordinatingmanufacturing cost improvement projects
• Supportcapital budget requests, purchase requisitions, and on‑time equipment ordering tracking
• Develop and improve team processes bycreating or supporting digital applications usingAI, 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:

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 or recently completed Master's degreeinManufacturing Engineering, Industrial Engineering, Mechanical Engineering, or equivalent experience
• Fundamental understanding ofmanufacturing processes, production flow, and capacity concepts gained through coursework or academic projects
• Basic knowledge ofproductivity improvement and industrial engineering principles (e.g., line balancing, cycle time, throughput)
• Introductory understanding ofOEE / equipment efficiency metrics
• Ability to supportproduction capacity and output gap analysis under guidance
• Basic awareness ofmanufacturing cost concepts and willingness to participate in cost improvement activities
• Willingness to learn and assist withcapital equipment justification, purchase requests, and order tracking
• Strong interest in applyingAI, Industry 4.0, and digital technologies to improve manufacturing efficiency

PREFERRED:

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

SKILLS:

• Fundamentalmanufacturing engineering and process analysis skills
• Basiccapacity planning and productivity improvement skills
• Data analysis and structuredproblem‑solving ability
• Ability to supportOEE/TEEP improvement activities
• Stronglearning agility and willingness to work hands‑on in a production environment
• Teamwork and collaboration withManufacturing Engineering and Operations teams
• Clear communication and basictechnical presentation skills
• Proficiency inMicrosoft Excel and PowerPoint
• Curiosity and an innovative mindset towardAI, 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 jobs.accommodations@wdc.com 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 emailcompliance@wdc.com.