Engineer, Manufacturing Engineering

Job Description The Early Career Talent (ECT) -- Engineering will join Western Digital's Head Backend Business Unit under the BEST Program, a structured 24-month development journey covering Foundation Training (Months 1-12) and Applied Projects (Months 13-18) before permanent deployment in Months 19-24.  The ECT will support slider processing and HGA (Head Gimbal Assembly) manufacturing operations, working alongside senior engineers on process improvement, quality assurance, yield analysis, and manufacturing efficiency initiatives.  This role is based in the Philippines (PHO) and reports to the assigned Program Owner under the Head Backend Operations organization. The ECT will be assigned a dedicated senior engineer mentor throughout the program.  Key responsibilities include: Participating in structured technical training modules covering WD manufacturing systems, safety, quality standards, and engineering fundamentals Supporting small-scope improvement projects in Phase 2 under mentor guidance Documenting observations, completing standard work instructions, and contributing to yield and efficiency data collection Engaging in regular check-ins, milestone assessments, and Individual Development Plan (IDP) reviews Demonstrating continuous learning and commitment to the 24-month program through to permanent absorption 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 foundational training through a structured onboarding, mentorship, and development curriculum. Qualifications REQUIRED:  Bachelor's degree in Mechanical Engineering, Electronics Engineering, Materials Science, Physics, or a related field  Fresh graduate or a maximum of 1 year of work experience  Basic understanding of manufacturing processes or engineering principles  Willingness to commit to the full 24-month BEST Program structure  PREFERRED: Academic exposure to data analysis, statistics, or process engineering • Internship or project experience in a manufacturing or engineering environment  Familiarity with quality tools (SPC, FMEA, 8D) or Lean/Six Sigma concepts  Exposure to the HDD, semiconductor, or precision manufacturing industry  SKILLS:  Analytical and problem-solving mindset  Strong attention to detail and quality orientation  Good communication and interpersonal skills  Proficiency in MS Office (Excel, PowerPoint)  Ability to work in a structured, fast-paced manufacturing environment  Openness to feedback and continuous development Strong written and verbal English communication skills Important Reminders: We provide free medical examination. We do not collect any original requirements. We do not collect any fees at any stage of the hiring process. Additional Information 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 email compliance@wdc.com. Company Description 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.