Senior Engineer, Manufacturing Equipment Engineering

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.

Responsibilities

Performs manufacturing quality monitoring, improvement, problem solving related work to support HDD Product Cleanliness quality; Performs technical support in term of cleaner maintenance with improvement productivity, quality, cost and sustainability.; Develops Mfg tool and equipment jig fixtures to improve product quality and cost.; Supervises engineers and technicians in responsibility to accomplish job in most effective way.; Coordinates with other sections including oversea organization concerning technical issues related to operation support.; Gives advise for team performance improvement per section goal setting with proper training and supervision.; Releases, adds and changes process procedure / work instruction.; Support product and technology transfers between sites.; Support short-term, mid-term and long-term project Taskforce; Cleaner Digital transform Smart Maintenance; Cleaner utilization DGR Improvement; Cleaning SME Technology development Next Gen Cleaner

Requirements

Bachelor’s degree or higher in Mechanical, Mechatronics, Electrical, Software, Robotics, Electronics, Telecommunications, or Computer Engineering; 2–5 years of experience in tool/machine design, automation systems, software development, or PLC programming; Strong proficiency in English communication and presentation; Positive attitude with strong analytical and problem-solving skills; Solid foundation in Artificial Intelligence (AI), data analytics, automation systems, and data mining techniques; Familiarity with Digital Twin concepts for equipment, process modeling, or manufacturing systems; Strong understanding of process and tool design principles , including equipment release timing and manufacturing readiness; Ability to coordinate with cross-functional teams and drive clear communication during tool/machine implementation; Proven capability to create data-driven solutions to improve quality, cost, scrap rate, yield, and productivity; Ability to apply machine learning, Digital Twin simulation, and data analytics to automation and manufacturing challenges; Experience using data mining and visualization tools (e.g., Power BI, Python, SQL, Kibana, JMP, Minitab) is an advantage; Strong active listening and technical questioning skills to identify true problem statements; Ability to make logical, fact-based decisions with consideration to both short-term and long-term business impact; Demonstrated ability to achieve results through collaboration, influence, and coordination across teams

Nice to have

Experience with C/C++, Python, or related automation programming languages; Experience developing or deploying Digital Twin applications for predictive maintenance, process optimization, or virtual commissioning; Practical experience in data mining, feature engineering, and statistical analysis for manufacturing data; Advanced proficiency in SolidWorks and ANSYS , including GD&T and tolerance analysis