Enforce manufacturing standards, SOP adherence, and operational discipline across all shifts.
Conduct daily Gemba walks to identify gaps, ensure compliance, and drive corrective actions.
Lead and facilitate Continuous Improvement (CIP) and Kaizen activities focused on waste elimination, OEE improvement, and throughput optimization. Operations Kaizen lead.
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Sustains and optimizes front-end test and inspection processes through advanced optical surface analysis, wafer geometry evaluation, profilometry, spectrophotometry, ellipsometry, PL measurement and defect characterization for Wafer Probing, Auto Vision Inspection (AVI) and ultrasound inspection.
Leads FMEA risk assessments to establish process controls, develops Engineering Control Plans, OCAPs and Work Instructions, and applies SPC methodologies to ensure process capability (Cp, Cpk).Collaborates with PI, FPD, and NPI engineers to understand product integration, establish Line of Defense (LoD), and ensure process stability within defined process windows.
Drives continuous improvement initiatives to enhance tool uptime and efficiency, reduce costs, and improve quality and yield.
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Provide line support for equipment setup, recovery and corrective maintenance to meet KPIs defined in respective functional area
Perform Preventive Maintenance (PM) and complete PM documentation as required (e-checklist & TECO)
Ensure the compliance to 5S, Cleanroom and Safety Protocol Support the Tools installation as being required Troubleshoot equipment failures, identify root cause and perform corrective action to bring equipment's up to support production/Plan and execute projects to improve Overall Equipment Efficiencies (Speed/Cost/Quality)
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Candidates should possess strong Quality Management and Quality Control skills to develop, implement, and maintain effective QHSE systems and procedures.
Candidates should possess Quality Auditing skills, including experience in conducting internal audits, inspections, and compliance checks.
Candidates should possess Analytical Skills to interpret data, identify trends, assess risks, and propose evidence-based improvements.
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Develop manufacturing process flows including planning, process development, validation strategies, product awareness, quality systems, and automation techniques.
Partner with R&D, Product Management, Operations, Engineering, and Project Management teams to define product success criteria and ensure successful product launches.
Lead new product and process transfers from engineering development through pilot production and high-volume manufacturing.
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Set up, operate, calibrate, and perform preventive maintenance on SMT line equipment.
Program, debug, and fine-tune SPI (Solder Paste Inspection) and AOI (Automated Optical Inspection) systems to ensure defect-free assembly and low false-call rates.
Perform SMT line setup, changeovers, feeder loading, and first-piece verification.
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Set up and validate new moulds, materials, and injection moulding processes, including IQ/OQ/PQ, process capability studies, and validation.
Accountable, lead and follow-up transfer of the mould inspection, mould transfer, ensuring the related information was provided and supporting the production team.
Coordinate maintenance of moulds; specify repair or alteration of moulds and automation while ensuring adequate documentation is maintained.
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Evaluates manufacturing processes by designing and conducting research programs; applying knowledge of product design, fabrication, assembly, tooling, and materials; conferring with equipment vendors; soliciting observations from operators.
Develops manufacturing processes by studying product requirements; researching, designing, modifying, and testing manufacturing methods and equipment; conferring with equipment vendors.
Improves manufacturing efficiency by analyzing and planning workflow, space requirements, and equipment layout.
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Advise process engineers and technicians, providing guidelines for optimal molding conditions.
Maintain knowledge of statistical process control (SPC) procedures to reduce scrap and produce quality parts. Establish and enhance SPC control and practices.
Coordinate and sample new tools and materials to determine the most appropriate methods for manufacturing company products. Document new tools and materials extensively. Review capability studies on new and existing tools and processes, recommending corrective actions for areas not meeting specifications.
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Lead and drive plant-wide continuous improvement initiatives to improve operational efficiency.
Collaborate with Operations teams to identify, analyze, and implement process improvements focused on productivity, waste reduction, and cost optimization.
Drive Lean deployment at the plant level, emphasizing programs such as Tiered Daily Management, 5S + Safety, SMED, and other continuous improvement initiatives.
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Implement the startup of new/existing projects/production jobs, optimizing cost, efficiency and quality.
Establish and ensure process control and maintains appropriate documentation.
Monitor the assembly/molding process running in production; troubleshoot problems associated with processes, and assist in resolving quality issues.
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To drive and to champion Statistical Process Control (SPC) implementation and sustainability with the process owners for all relevant processes in the Kulim facility.
To work closely with the Manufacturing/Process/Quality Engineers on effective root-cause analysis using the relevant statistical tools throughout the various streams of manufacturing (Outgoing, In-Process and Incoming)
High level of proficiency in executing statistical evaluations (DOE, Data Mining etc.)
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Analyze daily process yield reports that will include, but not limited to the following: operator errors, defective product, test equipment/test defects, RMA product defects, and spear corrective actions.
Increase production yields by understanding and reducing operator errors and driving manufacturing and test engineering defects back to the appropriate department.
Assist Test Engineer in developing preventative maintenance program and assure compliance to reduce downtime and increase process yields throughout the process.
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