Intern - Maintenance Engineer (Studying Bachelor or Master's Degree)

The Engineering Intern (Master's Level) will join Western Digital's Head Backend Business Unit for a structured 3-6 month internship at the Thailand site (THO). This role is designed for graduate students who bring advanced engineering knowledge and research experience, and who are expected to contribute at a higher technical level than undergraduate interns. Interns will be embedded in the THO Engineering organization, assigned a senior engineer mentor, and expected to lead a defined technical project with measurable outcomes. High-performing interns will be considered for conversion to the ECT - under the BEST Program. ESSENTIAL DUTIES AND RESPONSIBILITIES: • Conducting a defined engineering or process improvement project with clear scope and deliverables • Applying graduate-level technical knowledge to real manufacturing challenges in slider/HGA operations • Performing data analysis, technical documentation, and experiment design under mentor guidance • Presenting findings to engineering team at mid-point and program close • Contributing technical insights that can be carried forward post-internship • Participating in structured learning sessions, assessments, and IDP-lite conversations REQUIRED: Currently pursuing in Master's degree program in Mechanical Engineering, Electronics Engineering, Manufacturing Engineering, Materials Science , or related field Completed Bachelor's degree in engineering or technical discipline Strong academic record with active thesis or research project Available for 3-6 months structured internship PREFERRED: Thesis or research project related to manufacturing, materials, process optimization, or precision engineering Experience with experimental design, statistical analysis, or process simulation Exposure to L ean, Six Sigma, or quality engineering methodologies Prior industry internship or research collaboration with a manufacturing firm SKILLS: Advanced technical problem-solving and research skills Data analysis proficiency (Minitab, Python, MATLAB, or equivalent) Strong written and verbal English communication Ability to independently manage a project workstream Collaborative and professional conduct in a manufacturing environment 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 the foundational training through a structured onboarding, mentorship, and development curriculum. #LI-BI1 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.