(NEW GRAD ONLY) Engineer, Manufacturing Engineering at Western Digital

Si Maha Phot, , Thailand -

Full Time

Start Date

Immediate

Expiry Date

10 Jun, 26

Salary

0.0

Posted On

12 Mar, 26

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Manufacturing Engineering, Data Analysis, Process Studies, Capacity Line Setup, Production Ramp-Up, Output Gap Analysis, OEE Analysis, Cost Improvement, Capital Budget Requests, Digital Applications, Industry 4.0, AI, Lean Manufacturing, Six Sigma, Data Analytics, Problem-Solving

Industry

Computer Hardware Manufacturing

Description

Company DescriptionAt 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.Job DescriptionESSENTIAL DUTIES AND RESPONSIBILITIES:Support Manufacturing Engineering team in resolving production capacity‑related issuesAssist in productivity and DGR improvement activities through data analysis and process studiesSupport capacity line setup, line conversion, scheduling, and production ramp‑up activitiesParticipate in day‑to‑day production capacity and output gap analysis and issue resolutionSupport OEE / TEEP data collection, analysis, and improvement initiativesAssist in coordinating manufacturing cost improvement projectsSupport capital budget requests, purchase requisitions, and on‑time equipment ordering trackingDevelop and improve team processes by creating or supporting digital applications using AI, Industry 4.0 (4IR), and other digital technologies to improve efficiencyThis 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.QualificationsREQUIRED:Currently pursuing or recently completed X degree in Manufacturing Engineering, Industrial Engineering, Mechanical Engineering, or equivalent experienceFundamental understanding of manufacturing processes, production flow, and capacity concepts gained through coursework or academic projectsBasic knowledge of productivity improvement and industrial engineering principles (e.g., line balancing, cycle time, throughput)Introductory understanding of OEE / equipment efficiency metricsAbility to support production capacity and output gap analysis under guidanceBasic awareness of manufacturing cost concepts and willingness to participate in cost improvement activitiesWillingness to learn and assist with capital equipment justification, purchase requests, and order trackingStrong interest in applying AI, Industry 4.0, and digital technologies to improve manufacturing efficiencyPREFERRED:Internship, co‑op, or project experience in a manufacturing or production environmentExposure to line setup, line conversion, or production ramp‑up through internships or university projectsCoursework or project experience in Lean Manufacturing, Six Sigma, or Continuous ImprovementExperience using data analysis tools (Excel, dashboards, basic simulations) for capacity or productivity analysisAcademic or project exposure to AI, data analytics, automation, smart manufacturing, or digital factory conceptsFamiliarity with manufacturing KPIs such as output, yield, OEE, or cycle timeSKILLS:Fundamental manufacturing engineering and process analysis skillsBasic capacity planning and productivity improvement skillsData analysis and structured problem‑solving abilityAbility to support OEE/TEEP improvement activitiesStrong learning agility and willingness to work hands‑on in a production environmentTeamwork and collaboration with Manufacturing Engineering and Operations teamsClear communication and basic technical presentation skillsProficiency in Microsoft Excel and PowerPointCuriosity and an innovative mindset toward AI, 4IR, and digital application developmentAdditional Information#LI-SB1 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]. Job Type (exemption status): Non-Exempt position - Please see related compensation & benefits details below Business Function: Manufacturing Engineering Work Location: Prachin Buri--LOC_HGST_2THBS

Responsibilities

The role involves supporting the Manufacturing Engineering team by resolving production capacity issues, assisting with productivity and DGR improvement activities through data analysis, and participating in capacity line setup and production ramp-up coordination. Additionally, the engineer will help develop and improve team processes using digital technologies like AI and Industry 4.0.