Manufacturing Optimization Engineer (System Integration)

Purpose: Responsible for driving end-to-end digital / programmable, automation (logic & coding driven), and process optimization initiatives within the System Integration Department to enhance operational efficiency, accuracy, and workflow performance. The role focuses on transforming manual processes into intelligent digital / programmable system (software & logic based), building real-time visibility platforms, and standardizing processes to support productivity, quality, and equipment/tooling management across SID operations

Key Area of Responsibilities:

Analyze end-to-end manufacturing and testing processes to identify optimization opportunities in efficiency, quality, cost, and cycle time

Design, develop, and deploy digital manufacturing solutions, including workflow automation, data collection platforms, and KPI dashboards. with strong emphasis on programming, coding, and system logic

Lead process optimization initiatives such as Lean, Six Sigma, FPY improvement, bottleneck reduction, and capacity optimization

Develop and maintain internal manufacturing systems and applications (e.g., support request platforms, tooling management, certification systems)

Integrate manufacturing data with MES, SharePoint, Power Apps, Power Automate, and other enterprise systems

Standardize manufacturing and testing processes through SOPs, WI, templates, and digital forms. with strong emphasis on programming, coding, and system logic

Monitor production performance and quality trends using SPC, dashboards, and analytics tools

Support NPI and engineering change implementation by optimizing workflows and readiness

Collaborate with ME, PE, Test, Automation, IT, and Quality teams to implement cross-functional improvements

Provide technical support and root cause analysis for recurring production and test issues

Train engineers, technicians, and operators on new systems, tools, and optimized processes

Ensure digital and process solutions comply with safety, quality, and internal governance requirements. with strong emphasis on programming, coding, and system logic

Requirements

Bachelor's degree in Manufacturing Engineering, Industrial Engineering, Mechanical Engineering, Automation, Computer Science or related discipline

Minimum 3-5 years of experience in manufacturing engineering, process optimization, or digital manufacturing with strong emphasis on programming, coding, and system logic

Strong knowledge of manufacturing processes, testing operations, and system integration environments

Hands-on experience with Lean Manufacturing, Six Sigma, or continuous improvement methodologies

Proficiency in digital tools such as Microsoft Power Apps, Power Automate, SharePoint, Excel, Power BI, and MES systems. with strong emphasis on programming, coding, and system logic

Experience in data analysis, SPC, KPI tracking, and performance monitoring

Ability to design and maintain internal applications or low-code solutions for manufacturing operations

Strong problem-solving, analytical, and root cause analysis skills

Excellent communication and stakeholder management skills

Experience in semiconductor equipment or high-precision manufacturing is an advantage

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