Intern - Manufacturing Engineer

Job description

The Engineering Intern will join Western Digital's Head Backend Business Unit for a structured 3-6 month internship program at the Philippines site (PHO). The internship is designed to provide hands-on exposure to precision manufacturing operations, specifically slider processing and HGA (Head Gimbal Assembly) assembly within the storage technology industry. Interns will be embedded in the Engineering organization and assigned a dedicated buddy/mentor. The internship is structured with clear deliverables, a mid-point check-in, and a final project presentation. High-performing interns will be considered for conversion to the ECT -- under the BEST Program. Key responsibilities include: • Supporting day-to-day engineering activities in assigned function area • Assisting in data collection, process monitoring, and documentation • Contributing to a defined internship project with measurable output • Attending structured learning sessions and technical orientations • Completing mid-point and end-of-internship assessments • Presenting internship project findings to team and mentor at program close REQUIRED: Currently enrolled in a Bachelor’s degree program in Mechanical Engineering, Electronics Engineering, Industrial Engineering, Materials Science, Physics, or a related field. Minimum 3rd-year standing; rising seniors are preferred. In good academic standing. Available for a 3–6-month full-time or part-time internship. The internship is intended for students whose academic program requires or allows an internship for academic credit. PREFERRED: Prior internship, laboratory, or hands-on experience in engineering or manufacturing. Exposure to quality tools, process documentation, or engineering drawings. Basic data analysis skills, including Excel and basic statistics. Strong academic performance in technical subjects. SKILLS Eagerness to learn and develop skills in a manufacturing environment. Strong analytical thinking and attention to detail. Good communication skills and ability to work effectively in a team. Proficiency in Microsoft Office, particularly Excel. Reliable, punctual, and committed to completing the internship duration. Strong written and verbal English communication skills. TARGET ONBOARDING DATES: Candidates should be available to start their internship on one of the following target dates: September 14–15, 2026 November 16, 2026 January 11–12, 2027 April 1, 2027 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.