{"id":2329914,"url":"https://alion.io/job/western-digital-senior-engineer-manufacturing-engineering-9","title":"Senior Engineer, Manufacturing Engineering","company":{"id":8924,"name":"Western Digital","domain":"wdc.com","url":"https://alion.io/company/wdc","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"SmartRecruiters","truth_index":{"grade":"B","score":75,"open_postings":10,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":37,"computed_at":"2026-10-15T05:46:00Z"}},"role":"Industrial Engineering","role_family":"Industrial Engineering","seniority":"senior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Prachin Buri, Thailand"],"countries":["TH"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":16000,"max_usd":36000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":7404},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Microsoft Excel","optional":false}],"status":"live","first_seen_at":"2026-09-28T06:19:21Z","employer_posted_date":"2026-09-28","last_verified_at":"2026-10-15T09:57:22Z","board_verified":true,"closed_at":null,"days_open":17,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":17},"description":"WD is building the infrastructure behind the AI-driven data economy.\nAs 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.\nWe 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.\nThis isn’t theoretical work. It’s real systems, at real scale, people solving some of the hardest challenges in technology today.\nWe’re looking for people who want to build, solve, and operate at that level.\nJoin us and let’s shape the future of data.\n ESSENTIAL DUTIES AND RESPONSIBILITIES:\nSupport Manufacturing Engineering team in resolving production capacity-related issues\nAssist in productivity and DGR improvement activities through data analysis and process studies\nSupport capacity line setup, line conversion, scheduling, and production ramp-up activities\nParticipate in day-to-day production capacity and output gap analysis and issue resolution\nSupport OEE / TEEP data collection, analysis, and improvement initiatives\nAssist in coordinating manufacturing cost improvement projects\nSupport capital budget requests, purchase requisitions, and on-time equipment ordering tracking\nDevelop and improve team processes by creating or supporting digital applications using AI, Industry 4.0 (4IR), and other digital technologies to improve efficiency\nThis 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.\n REQUIRED:\nWe warmly welcome fresh graduates of a Master's degree, and Early Career Talent with 0-2 years of experience are encouraged to apply.\nCurrently pursuing or recently completed Master's degree in Manufacturing Engineering, Industrial Engineering, Mechanical Engineering, or equivalent experience\nFundamental understanding of manufacturing processes, production flow, and capacity concepts gained through coursework or academic projects\nBasic knowledge of productivity improvement and industrial engineering principles (e.g., line balancing, cycle time, throughput)\nIntroductory understanding of OEE / equipment efficiency metrics\nAbility to support production capacity and output gap analysis under guidance\nBasic awareness of manufacturing cost concepts and willingness to participate in cost improvement activities\nWillingness to learn and assist with capital equipment justification, purchase requests, and order tracking\nStrong interest in applying AI, Industry 4.0, and digital technologies to improve manufacturing efficiency\nPREFERRED:\nInternship, co-op, or project experience in a manufacturing or production environment\nExposure to line setup, line conversion, or production ramp-up through internships or university projects\nCoursework or project experience in Lean Manufacturing, Six Sigma, or Continuous Improvement\nExperience using data analysis tools (Excel, dashboards, basic simulations) for capacity or productivity analysis\nAcademic or project exposure to AI, data analytics, automation, smart manufacturing, or digital factory concepts\nFamiliarity with manufacturing KPIs such as output, yield, OEE, or cycle time\nSKILLS:\nFundamental manufacturing engineering and process analysis skills\nBasic capacity planning and productivity improvement skills\nData analysis and structured problem-solving ability\nAbility to support OEE/TEEP improvement activities\nStrong learning agility and willingness to work hands-on in a production environment\nTeamwork and collaboration with Manufacturing Engineering and Operations teams\nClear communication and basic technical presentation skills\nProficiency in Microsoft Excel and PowerPoint\nCuriosity and an innovative mindset toward AI, 4IR, and digital application development\n #LI-SB1\nWD 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.\nWD 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  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.\nNotice 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. 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