Intern - Technologist, Hardware Development Engineering (Studying Ph.D Degree)

ESSENTIAL DUTIES AND RESPONSIBILITIES: The Technical PhD Intern will support machining and lapping process development for next-generation wafer technologies. The role offers hands-on experience applying modeling, simulation, data analytics, AI/ML, software, and hardware development to improve process capability, quality, and manufacturing performance. Support machining and lapping process development projects. Develop and apply modeling and simulation methods to understand process behavior. Analyze process and equipment data using statistical and AI/ML techniques. Assist in developing software tools, algorithms, and engineering analytics solutions. Support experimental design, process characterization, and root cause investigations. Collaborate with process, equipment, software, and data engineering teams. Document and present technical findings and recommendations. REQUIRED: Currently pursuing a PhD degree in Mechanical Engineering, Materials Science, Electrical Engineering, Computer Engineering, Physics, Data Science , or equivalent experience Internship period must be at least 4 months; can be on-site at Bangpa-in, Ayutthaya PREFERRED: Research experience in machining, lapping, precision engineering, manufacturing processes, or advanced materials . Knowledge of Design of Experiments (DOE), statistical analysis, and process optimization. Familiarity with sensor systems, automation, or hardware development. SKILLS: Experience in modeling, simulation, data analysis, or computational research. Experience with AI/ML, data analytics, or predictive modeling Programming experience in Python, MATLAB, C/C++, or similar. Strong analytical, problem-solving, teamwork, and communication skills. Strong with Root Cause Analysis and Technical Communication Strong written and verbal English communication #LI-SB1 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.