Senior Engineer, Manufacturing Engineering – Process Control at Western Digital

Pasir Gudang, Johor, Malaysia -

Full Time

Start Date

Immediate

Expiry Date

13 Aug, 26

Salary

0.0

Posted On

15 May, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Electroplating, Process Control, Data Analytics, Machine Learning, Statistical Process Control, FMEA, DOE, 6 Sigma, Python, R, JMP, Minitab, Power BI, Tableau, Project Management, Cleanroom Operations

Industry

Computer Hardware Manufacturing

Description

Company Description At Western Digital, our vision is to power global innovation and push the boundaries of technology to make what you thought was once impossible, possible. At our core, Western Digital is a company of problem solvers. People achieve extraordinary things given the right technology. For decades, we’ve been doing just that. Our technology helped people put a man on the moon. We are a key partner to some of the largest and highest growth organizations in the world. From energizing the most competitive gaming platforms, to enabling systems to make cities safer and cars smarter and more connected, to powering the data centers behind many of the world’s biggest companies and public cloud, Western Digital is fueling a brighter, smarter future. Binge-watch any shows, use social media or shop online lately? You’ll find Western Digital supporting the storage infrastructure behind many of these platforms. And, that flash memory card that captures and preserves your most precious moments? That’s us, too. We offer an expansive portfolio of technologies, storage devices and platforms for business and consumers alike. Our data-centric solutions are comprised of the Western Digital®, G-Technology™, SanDisk® and WD® brands. Today’s exceptional challenges require your unique skills. It’s You & Western Digital. Together, we’re the next BIG thing in data. Job Description This is an individual contribution role as a Plating Process Control Engineer in manufacturing engineering operations responsible for monitoring and controlling plating processes to ensure quality and yield targets while implementing process improvements and optimization initiatives. The role encompasses managing plating bath chemistry and refresh schedules, troubleshooting process deviations, conducting statistical analysis to support process changes, and ensuring compliance with contamination control procedures. The engineer is also expected to leverage data analytics and machine learning techniques to establish linkages between Key Process Input Variables (KPIVs) and Key Process Output Variables (KPOVs), enabling predictive process control and data-driven decision making. Key technical competencies include understanding electroplating principles and chemistry, knowledge of semiconductor manufacturing processes, experience with process control systems and data analysis, and familiarity with cleanroom operations and safety protocols. The engineer also participates in FMEA activities, risk assessments, and supports change control processes such as PCN and TECN to maintain operational excellence in plating operations. ESSENTIAL DUTIES AND RESPONSIBILITIES: Focal person for plating facilities related issues, ie plating DI water trend monitoring, LPC and contamination Focal person of plating chemical planning and inventory Focal person for plating pretreatment, strip line, filter change and descaling. Monitor and control plating processes to ensure quality and yield targets Implement process improvements and optimization initiatives Troubleshoot process deviations and implement corrective actions, which include thickness control, anodic protection Troubleshoot line to line variation and implement corrective actions Ensure compliance with contamination control procedures Participating in FMEA activities and risk assessments Monitor and improve plating OEE performance Implement process optimizations to reduce speed losses and improve efficiency Track and analyze OEE metrics to identify improvement opportunities Support implementation of process parameter revisions to enhance OEE Identify, define, and document KPIVs and KPOVs for plating processes and establish data-driven linkages between them Develop and maintain process monitoring dashboards using data analytics tools to visualize KPIV-KPOV relationships Apply machine learning models (e.g., regression, classification, anomaly detection) to predict process outcomes and enable proactive process control Collaborate with data engineers or IT teams to integrate manufacturing data from equipment and sensors into analytics platforms Utilize statistical process control (SPC) and advanced analytics to detect processes that drift and trigger timely corrective actions Qualifications REQUIRED: Must have a minimum of a Degree in Chemical Engineering or any engineering background PREFERRED: Fresh graduate or 1 - 3 years of experience in manufacturing/ production environment. Able to work in cleanroom environment. Must be able to use computer for communication (email / Microsoft Office applications & etc). Able to communicate in English. Exposure to data analytics tools such as Python, R, JMP, Minitab, Power BI, or Tableau Basic understanding of machine learning concepts and their application in manufacturing process control Experience or academic exposure to KPIV/KPOV identification and correlation analysis SKILLS Excellent Project Management skills; a strong communicator at all levels from Management to technical teams 'on the floor'. Self-motivated and goal oriented and will have the ability to work equally well in a team environment as well as individually. Very independently and less supervision required. Problem solution tools (6 Sigma, DOE, FMEA, 8D). Data Analytics: Ability to collect, clean, and analyze large process datasets to derive actionable insights KPIV/KPOV Analysis: Proficiency in identifying critical input and output variables and establishing statistical correlations Machine Learning: Familiarity with supervised/unsupervised learning models for predictive process control and anomaly detection Data Visualization: Ability to build dashboards and reports to communicate process trends to engineering and management teams Statistical Tools: Proficiency in SPC, regression analysis, multivariate analysis, and Design of Experiments (DOE) Additional Information Western Digital is committed to providing equal opportunities to all applicants and employees and will not discriminate based on their race, color, ancestry, religion (including religious dress and grooming standards), sex (including pregnancy, childbirth or related medical conditions, breastfeeding or related medical conditions), gender (including a person’s gender identity, gender expression, and gender-related appearance and behavior, whether or not stereotypically associated with the person’s assigned sex at birth), age, national origin, sexual orientation, medical condition, marital status (including domestic partnership status), physical disability, mental disability, medical condition, genetic information, protected medical and family care leave, Civil Air Patrol status, military and veteran status, or other legally protected characteristics. We also prohibit harassment of any individual on any of the characteristics listed above. Our non-discrimination policy applies to all aspects of employment. We comply with the laws and regulations set forth in the Equal Employment Opportunity is the Law poster. Western Digital 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. Western Digital 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. 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]. Job Type (exemption status): Exempt position - Please see related compensation & benefits details below Business Function: Manufacturing Engineering Work Location: Pasir Gudang WD Media Office--LOC_WDT_MY0101

Responsibilities

Responsible for monitoring and controlling plating processes to ensure quality and yield targets while implementing optimization initiatives. The role leverages data analytics and machine learning to establish linkages between process input and output variables for predictive control.