Engineer, Tooling Development Engineering

Job description

Develop high efficiency, high quality, precision, low cost HDA/HSA Assembly Tooling, manual/automated that meet staging and new product design requirement, Tooling KPIs and schedules while providing Manufacturing Operations flexibility. ESSENTIAL DUTIES AND RESPONSIBILITIES: Develop, Design, and Deploy automated or manual Tooling to assemble HDA/HSA prior to transfer to HVM engineering (from clean room to backend). Coordinator for vendor outsourced projects. Tooling coordinator and schedule owner for NPL lines & tooling development projects. Support APM in program scoping (tooling impact, cost & schedule). Support DFM studies, QFD, TCTF, FEA, DOE, engineering analysis (tolerance studies, GR&R, FEA, simulations, engineering calculations, etc.) Prepare WEDR reviews – TDRD-FMEA, concept review, final design. Prepare & maintain tool documentations – Design review, technical drawings & schematics, BOM, spare parts, setup, preventive maintenance. Support databases - eTRF, ePDM, AME design rules, tooling conversion costs. Capital preparation: NPL and prototype development budget estimates, calculate ROI, justify to CRB, support MPS replication planning. Support HVM 1st line replication planning and execution. Manage tool logistics/ shipments, and related resources. Manage R&D & NPL budget & procurement (budget forecast, spending control & monitoring, PR justifications, vendor selection & asset transfers). Provide 1st level support to NPL & HVM technicians (training & supervision) for lab prototype setup and production tool related issues. SMEs (subject matter experts) in HDA/ HSA assembly technologies - vision systems, screw driving, pick & place, AGV (auto gage verification), screw autofeed, auto dycem, measurement devices, control systems, and qualified SEMI S2 internal auditors. Sustaining support – prototype designs & evaluations for continuous KPI improvements. Provide guidance to local vendors to improve services and capabilities to meet factory demands Perform other duties as assigned. REQUIRED Master Degree / Bachelor’s Degree in Mechanical or Mechatronics Engineering or equivalent. More than 2 years of experience SKILLS: Well ability to using Solid works software to design tooling and fixture for product qualification/prototype/automation system. Thoroughly understand GDT concept, and application, and be able to train others to appropriate use for tooling fixture design. Good knowledge in Technical/analytical/Mechanical analysis. Good command in spoken and written. Problem solving skill Able to track data, analyze and solve the problems on HSA/HDA tooling fixture & Equipment to perform corrective actions to meet customers’ requirements accordingly. #LI-EL1 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 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 . 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.