ESSENTIAL

DUTIES AND 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

REQUIRED:

• 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

PREFERRED:

• 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

SKILLS:

• 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

LI-SW1

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 [email protected] 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 [email protected].