Total 6 process engineer job vacancies in Manufacturing / Production category in Johor

Job Scope :

• Oversees the plant production operation and ensures that all work instructions and procedures are strictly followed.
• Collaborate with various party to organize, developing plans and effective scheduling of rules for optimum utilization of production capacity.
• Ensure execution of production progress are follow the production schedule within the time frame given.
• Liaising and coordinate between Admin Department, Logistic Department, Procurement Department, Sub-contractor and related person to ensure smooth of daily production.
• Collaborate and initiate to identify and diagnosing the root cause of product’s defect to improve production’s efficiency.
• Ensures the quality of the production of precast concrete components in accordance with latest approved shop drawings, work instructions, casting program & approved quality control methods.
• To perform of full inspection of daily pre-pour and post-pour inspections of precast components with consultant’s representative according to approved precast shop drawings.
• Assist in monitoring and controlling material usage and wastage are within tolerance.
• To assist Senior Production Engineer in managing a team of Production Supervisors, and workers in ensuring timely production and delivery of precast components. Disseminate through Production Executive if needed.
• Providing necessary production’s documentation to Admin.
• Maintain and implement quality control system in the factory and project sites by following the project quality manual and standard operating procedures set by the company.
• Liaising with Production Department’s member and sub-contractors for any non-conformance for pre-pour inspection, trains workers whenever necessary and as required.
• Any other tasks which may be assigned by the management from time to time.

Job Requirements:

• Candidate must possess at least a Bachelor's Degree, Post Graduate Diploma, Professional Degree, Engineering (Civil Engineering) or equivalent.
• 2-3 years of experiences in Precast Industry
• Knowledge of Autocad would be an advantage
• Good communicative skills, able to interact with people of all levels and teamwork
• Team player

Perks & Benefits

• Free snacks / Happy hours
• Company trips
• Medical insurance
• Personal development opportunities

• 監督工廠生產運營，確保所有工作指示和程序嚴格遵守。
• 與各方合作，組織、制定計劃和有效安排規則，以實現生產能力的最佳利用。
• 確保生產進度依照生產計畫在規定的時間內完成。
• 負責與行政部門、物流部門、採購部門、分包商及相關人員聯絡協調，以確保日常生產順利進行。
• 協作並主動識別和診斷產品缺陷的根本原因，以提高生產效率。
• 確保預製混凝土構件的生產品質符合最新核准的施工圖、工作指導書、澆築程序和核准的品質管制方法。
• 根據已批准的預製構件車間圖紙，與顧問代表一起對預製構件進行每日澆築前和澆築後檢查的全面檢查。
• 協助監控和控製材料使用和浪費情況，確保其在容許範圍內。
• 協助資深生產工程師管理生產主管和工人團隊，確保預製構件的及時生產和交付。如有需要，可透過生產主管傳達。
• 向管理部門提供必要的生產文件。
• 依照公司製定的專案品質手冊和標準作業程序，在工廠和專案現場維護和實施品質控制系統。
• 與生產部門成員和分包商聯絡，處理澆築前檢查中發現的任何不合格情況，並在必要時對工人進行培訓。
• 管理層不時指派的其他任何任務。

職位要求：

• 候選人必須至少擁有學士學位、研究生文憑、專業學位、工程（土木工程）或同等學歷。
• 2-3年預製件產業經驗
• 掌握AutoCAD軟體者優先考慮
• 良好的溝通能力，能與各階層人士互動，並具備團隊合作精神。
• 團隊合作者

福利待遇

• 免費小吃/歡樂時光
• 公司旅行
• 醫療保險
• 個人發展機會

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.

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

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.