Total 8 process engineer job vacancies in Manufacturing / Production category in The Philippines

We are seeking a detail-oriented and analytical Product Engineer to join our team in George Town, Malaysia. As a Product Engineer, you will play a crucial role in HDD-Media-Head performance characterization.

• You would guide Media Mfg. Engineering team to optimize process to deliver best Media performance at HDD.
• Collaborate with cross-functional teams to optimize product specifications and requirements (PM, Development and Process Engineering teams)
• Optimize existing products for improved yield performance, cost-effectiveness, and manufacturability
• Support Media performance optimization from development to high volume production
• Stay updated on industry trends, new technologies, and manufacturing processes
• Ensure compliance with relevant industry standards and regulations
• Drive digitalization initiatives in manufacturing
• Implementing data-driven decision-making using advanced analytics.
• Utilize AI/ML models for predictive analysis of yield, reliability, and performance trends.

ESSENTIAL DUTIES AND RESPONSIBILITIES: 

• Identify, develop, and deploy AI use cases within AlMg Substrate manufacturing, targeting yield improvement, defect reduction, and equipment downtime minimization across Plate, Wash, and Polish processes.  
• Build predictive and prescriptive models using available internal AI tools on manufacturing process data extracted from MES, ERP, and IoT/sensor sources.  
• Apply statistical analysis techniques including SPC, DOE, Cpk analysis, hypothesis testing, and multivariate analysis to uncover KPIV-KPOV relationships in substrate manufacturing processes.  
• Develop and maintain end-to-end(Substrate-Media-HDD) analytics pipelines - from data extraction and preparation through model training, validation, and production deployment.  
• Create self-serve data dashboards and automated reports using Spotfire to support real-time Cpk, Yield, and SPC monitoring for the manufacturing line.  
• Support AI-driven root cause analysis for quality excursions, reducing manual investigation cycle time.  
• Provide engineering support for Substrate manufacturing process issues, applying data science tools to accelerate root cause identification and corrective action deployment.  
• Collaborate cross-functionally with Process, Quality, Test/FA, and Metrology teams to integrate analytics capabilities into existing engineering workflows.  
• Provide engineering support for Substrate manufacturing process issues, applying data science tools to accelerate root cause identification and corrective action deployment.  

This position is part of our Early Career program at WD. Our Early Career program is designed to support individuals beginning their professional career by providing the foundational training through a structured onboarding, mentorship, and development curriculum.

ESSENTIAL DUTIES AND RESPONSIBILITIES: 

• Design, develop, and maintain control systems and automation solutions for manufacturing processes. 
• Troubleshoot PLC, HMI, SCADA, sensors, drives, and instrumentation issues. 
• Optimize machine performance, reliability, and Overall Equipment Effectiveness (OEE). 
• Lead root cause analysis and implement corrective and preventive actions for equipment failures. 
• Support new equipment installation, commissioning, and validation activities. 
• Develop and update electrical drawings, control logic documentation, and standard operating procedures. 
• Coordinate with production, maintenance, quality, and engineering teams to ensure operational excellences. 

This position is part of our Early Career program at WD. Our Early Career program is designed to support individuals beginning their professional career by providing the foundational training through a structured onboarding, mentorship, and development curriculum.

BROAD FUNCTIONS :

· To plan, coordinate and follow-up sputter systems start-up / conversion activities and process

documentation.

· To audit sputter parameters and practice periodically, include online SPC and procedure

conformance.

· To lead sputter process related issues trouble shooting (common causes), work closely with shift

process team in sputter process sustaining, trouble shooting & improvement in order to achieve

sputter utilization (down time), yield & quality goal.

· To lead Sputter Process Improvement Projects (SU/STT/Cost/Quality/PPH & others), which

include new products/machines/process qualification.

· To lead, supervise and coach/train process tech, include engineering specialist and characterize

technicians.

RESPONSIBILITIES :

Regular

· Responsible for sputter process related issues trouble shooting (common causes), work closely

with Shift process team in sputter process sustaining, trouble shooting & improvement in order to

achieve sputter utilization (down time) & quality goal.

· Responsible to lead, supervise and coach/train process tech, include engineering specialist and

characterize technicians. Responsible to train and share PMR/DS sputter process and yield

improvement knowledge with the team.

· Responsible for sputter parameters monitoring, include online SPC monitoring and procedure

conformance.

· Responsible for sputter machine start-up include process characterize (new products & process

changes).

· Responsible for new products/machines/process qualification.

· Responsible for sputter process improvement projects (SU/STT/Cost/Quality/PPH & others).

Others include FMEA.

· Understand and accept responsibility for performing jobs safely

· Follow safety and health rules

· Responsible to assist in sputter yield related issues trouble shooting (common causes). Work

closely with Anelva yield team in sputter yield sustaining, trouble shooting & improvement in order

to achieve sputter yield goal. This includes 0725 Operation Yield Improvement.

· Other supervisor assigned task

Improve Media magnetic baseline: ACC% and to enable process stability and repeatability via recipe tuning and optimization. Responsible for new product qualifications.  

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

ESSENTIAL DUTIES AND RESPONSIBILITIES

• Product Engineering or Program Management
• Lead internal team for NPI and Sustaining Products qualification and continuous improvement activities to meet product requirements.
• Involve heavily in collaboration with other functions and departments to achieve goals.
• Data analysis skills for processes and products correlation.  

ESSENTIAL DUTIES AND RESPONSIBILITIES:

• To plan, coordinate and follow-up sputter systems start-up / conversion activities and process documentation.
• To audit sputter parameters and practice periodically, include online SPC and procedure conformance.
• To lead sputter process related issues trouble shooting (common causes), work closely with shift process team in sputter process sustaining, trouble shooting & improvement in order to achieve sputter utilization (down time), yield & quality goal.
• To lead Sputter Process Improvement Projects (SU/STT/Cost/Quality/PPH & others), which include new products/machines/process qualification.
• To lead, supervise and coach/train process tech, include engineering specialist and characterize technicians.
• Responsible for sputter process related issues trouble shooting (common causes), work closely with Shift process team in sputter process sustaining, trouble shooting & improvement in order to achieve sputter utilization (down time) & quality goal.
• Responsible to lead, supervise and coach/train process tech, include engineering specialist and characterize technicians. Responsible to train and share PMR/DS sputter process and yield improvement knowledge with the team.
• Responsible for sputter parameters monitoring, include online SPC monitoring and procedure conformance.
• Responsible for sputter machine start-up include process characterize (new products & process changes).
• Responsible for new products/machines/process qualification.
• Responsible for sputter process improvement projects (SU/STT/Cost/Quality/PPH & others).

Others include FMEA.

• Understand and accept responsibility for performing jobs safely
• Follow safety and health rules
• Responsible to assist in sputter yield related issues trouble shooting (common causes).
• Work closely with Anelva yield team in sputter yield sustaining, trouble shooting & improvement in order
• to achieve sputter yield goal. This includes 0725 Operation Yield Improvement.
• Other supervisor assigned task
• Improve Media magnetic baseline: ACC% and to enable process stability and repeatability via recipe tuning and optimization.
• Responsible for new product qualifications.  

Position Overview

We are seeking a strategic Operation/Production Material & Cost Engineer to lead comprehensive OSRM (Operating Supply & Raw Material) and spare parts management initiatives. This role combines financial acumen, operational excellence, and digital innovation to drive significant cost optimization while ensuring seamless production continuity. You will spearhead transformational projects that leverage AI and automation to enhance inventory efficiency, cost transparency, and decision-making across the organization.

Key Responsibilities

1. Strategic OSRM & Spare Parts Cost Management

• Own end-to-end OSRM and spare parts cost planning, monitoring, and control to achieve or exceed annual financial targets.
• Conduct comprehensive cost driver analysis and variance investigations; identify and execute high-impact cost reduction and optimization initiatives.
• Lead strategic OSRM cost improvement projects, including consumption reduction, supplier rationalization, and lifecycle cost optimization.

2. Demand, Supply & Inventory Planning

• Develop and manage integrated OSRM demand and supply plans aligned with production requirements and operational capacity.
• Oversee procurement and distribution of production cleanroom consumables and OSRM to ensure uninterrupted operational continuity.
• Manage company spare parts inventory strategically, including stock profiling, safety stock optimization, and inventory location management.
• Control inventory aging and excess materials to maximize working capital efficiency and operational agility.

3. Inventory Management Systems & Data Governance

• Ensure data integrity, accuracy, and reliability across the Spare Parts Inventory Management System (SPIMS).
• Develop and maintain comprehensive inventory monitoring dashboards, KPIs, and analytical reports tracking aging, usage patterns, and cost trends.
• Champion SPIMS long-term enhancement initiatives, including system optimization, data governance frameworks, and process automation.
• Oversee Store 5S implementation and safety compliance standards across all SPIMS operations.

4. Digital Transformation & AI-Enabled Innovation

• Drive AI-enabled and digital transformation initiatives across OSRM and SPIMS planning, inventory management, and cost control functions.
• Identify and implement advanced solutions including:
  • Predictive usage forecasting and demand sensing algorithms
  • Automated replenishment and inventory optimization systems
  • Real-time digital dashboards for OSRM cost and KPI monitoring
  • Advanced data analytics for non-moving inventory, aging material, and lifecycle cost analysis
• Collaborate with IT, Digital Transformation, and Engineering teams to design, deploy, and sustain automated workflows and AI-driven decision support tools.
• Continuously enhance planning accuracy, response time, and cost transparency through process automation and digitalization.

5. Operational Governance & Performance Management

• Conduct regular OSRM usage and KPI reviews, compile performance data, and monitor key operational metrics.
• Establish and maintain robust monitoring systems for critical OSRM used in production operations.
• Supervise technical teams and ensure effective execution of daily OSRM and SPIMS operations.
• Support production teams on used spare part scheduling, waste handling, and scrap disposal in compliance with SPIMS requirements.

6. Cross-Functional Leadership & Collaboration

• Partner strategically with Production, Warehouse, Inventory Control, and Procurement teams on OSRM initiatives including RTV management, on-hold materials, aging inventory, on-time issuance, staging area optimization, and chemical transfer scheduling.
• Collaborate closely with Process Engineering, NPI, and Procurement on new material introduction for mass production, usage algorithm verification, and implementation timelines.
• Lead non-moving parts disposition planning with Equipment teams using SPIMS data analytics.
• Support tooling and logistics improvement projects that enhance production operational efficiency.