Job Description

Responsibilities:

• Develop, implement, optimize, and sustain AOI processes, inspection recipes, algorithms, lighting, optics, focus, image acquisition, defect classification, and acceptance criteria for assigned products.
• Improve AOI detection capability, inspection accuracy, repeatability, false-call rate, escape rate, throughput, and equipment utilization while meeting product quality requirements.
• Establish and maintain AOI golden samples, defect libraries, recipe controls, inspection standards, correlation methods, and change control requirements.
• Conduct AOI recipe qualification, measurement correlation, capability studies, DOE, and validation for new products, process changes, equipment upgrades, and production transfers.
• Troubleshoot AOI equipment, software, image quality, recipe, alignment, handling, and inspection issues in collaboration with equipment, maintenance, quality, and supplier teams.
• Analyse AOI and defect data, identify trends and recurring issues, and work with relevant process owners to reduce defects, improve yield, and prevent quality escapes.
• Understand the complete manufacturing process flow, key process parameters, product specifications, critical-to-quality characteristics, inspection gates, and process interactions for the assigned product.
• Act as the Product Integration Engineer for the assigned product in addition to the AOI process engineering responsibility; this is an integrated responsibility within the Manufacturing Engineer role rather than a separate standalone position.
• When a product issue or yield excursion occurs, perform the initial technical assessment using process history, inspection results, defect patterns, equipment data, and product traceability to identify the likely source or process area.
• Coordinate the relevant process Manufacturing Engineer, Quality, Production, Equipment, R&D, and other functions for detailed root cause analysis, containment, corrective action, and effectiveness verification.
• Lead or support cross-process troubleshooting for issues that involve multiple manufacturing steps or cannot be attributed immediately to a single process.
• Monitor product-level yield, defect Pareto, process interactions, recurring failure modes, and overall manufacturing performance; initiate and track improvement actions.
• Support new product introduction, engineering builds, process qualification, product transfer, change management, ramp-up, and release to mass production.
• Implement SPC, control plans, FMEA, capability analysis, RCA, and CAPA for AOI and product-level process control and risk management.
• Document SOPs, work instructions, AOI recipes, inspection criteria, troubleshooting guides, process flow information, lessons learned, and best practices.
• Train production operators, technicians, and relevant engineers on AOI operation, defect classification, escalation criteria, product flow, and troubleshooting requirements.
• Ensure compliance with EHS requirements, cleanroom protocols, ESD control, machine safety, data integrity, and applicable quality management system requirements.

Requirements:

• Bachelor's degree or above in Electrical Engineering, Electronics, Mechatronics, Mechanical Engineering, Materials Science, Manufacturing Engineering, Optics, or related fields.
• Minimum of 3 years hands-on experience with AOI or machine vision systems, including recipe setup, lighting, optics, image acquisition, defect detection, classification, and inspection optimization.
• Strong understanding of defect mechanisms, inspection correlation, false calls, escapes, golden samples, defect libraries, and inspection capability validation.
• Ability to understand complete product manufacturing flows, process interactions, critical process parameters, specifications, quality gates, and product traceability.
• 4Ability to conduct initial product issue analysis, narrow down the likely process area, and coordinate responsible process engineers for detailed investigation.
• Ability to interpret drawings, specifications, inspection images, process data, yield trends, equipment logs, and failure analysis results.
• Familiarity with DOE, SPC, FMEA, control plans, capability analysis, 8D, RCA, and CAPA.
• Strong analytical problem-solving, documentation discipline, project coordination, and cross-functional communication skills.
• 8Able to work independently and collaboratively across Production, Quality, Equipment, R&D, and multiple process engineering functions.
• Familiarity with cleanroom practices, ESD control, component handling, contamination control, and quality management system requirements.

GMP Technologies (S) Pte Ltd | EA License: 11C3793 | EA Personnel: Novita Widjaja | Registration No: R22105960

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