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

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.

ESSENTIAL DUTIES AND RESPONSIBILITIES

The Technical PhD Intern will support machining and lapping process development for next-generation wafer technologies.

Responsibilities

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.

Requirements

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; 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

Nice to have

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.