Identify, analyse, and resolve manufacturing process and quality-related issues through data-driven approaches.
Develop, implement, and maintain Fault Detection (FD), Predictive Analytics, and Run-to-Run (R2R) control models to improve process stability, yield, and equipment performance.
Lead and participate in continuous improvement initiatives focused on yield enhancement, cycle time reduction, productivity improvement, and manufacturing cost optimisation.
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Lead Outgoing Quality Assurance (OQA) and Ongoing Reliability Test (ORT) monitoring, proactively identifying quality trends and resolving anomalies to ensure high product reliability.
Conduct in-depth failure analysis, root cause investigation, and corrective action implementation to improve overall product quality.
Define, enhance, and maintain SSD product quality test flows, ensuring they align with industry best practices and company standards.
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Represent product quality as the Sustaining Program Manager in core teams, ensuring alignment with quality and reliability goals throughout the product lifecycle.
Accountable for product quality and reliability when product transitions into sustaining phase. Drive activities to ensure that product quality & reliability expectations are met.
Lead the resolution of quality-related issues during both New Product Introduction (NPI) and Sustaining phases.
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Support to integrate classical machine learning with Generative AI to support process applications such as anomaly detection, predictive maintenance, yield optimization and etc.
Assist in building and development of NLP (Natural Language Processing) pipelines from SMT/ Mechanical Assembly process engineering critical KPOV data manipulation (eg. SMT machine performance report, Mechanical assembly measurement output)
Handling unstructured engineering data such as equipment logs, FA reports, and production records, suitable for NLP-based automation (classification, summarization, insights extraction).
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Lead and drive product development initiatives from pre-silicon design through first silicon and full qualification, ensuring alignment with technology and product roadmaps.
Develop and implement comprehensive test strategies, test flows, and screening methodologies that optimize product quality and reliability metrics for wafer testing.
Conduct in-depth electrical and functional failure analysis during new product development and qualification phases, identifying root causes and defining corrective action plans.
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Become a contributing member in the failure analysis of our Sandisk products to increase customer satisfaction.
Perform failure analysis on Sandisk products while interacting with many engineering groups such as NAND, firmware, systems, ASIC, etc.
Evaluate the electrical and mechanical characteristics of systems, integrated circuits, components, and sub-components to determine the cause of failure including the verification of analog and digital performance.
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Represent product quality as the Sustaining Program Manager in core teams, ensuring alignment with quality and reliability goals throughout the product lifecycle.
Accountable for product quality and reliability when product transitions into sustaining phase. Drive activities to ensure that product quality & reliability expectations are met.
Lead the resolution of quality-related issues during both New Product Introduction (NPI) and Sustaining phases.
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Responsible for the Underfill (UF) process for flip-chip die-level assembly.
Support Assembly Process Engineering in delivering process and equipment solutions that meet quality, development, and operational requirements.
Maintain assembly yield and assembly test yield related to the Underfill process in line with department targets and KPIs, including lot bracketing and disposition.
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Shift support for continuous production line and ensure equipment in good performance to meet the goals on Equipment uptime, yield, and cost, utilization and cycle time.
Support the production Report the online machine status and issue to EE Leader and Engineer.
Drive NAND development from pre-silicon (circuit simulation for stress/screen test method), 1st silicon to qualification from DPPM (Defective part per million) perspective.
Own and achieve DPPM (Defective part per million) targets on SD NAND Technology in line with technology & product roadmaps.
Develop and define test strategy and test flow for SD NAND Technology on DOEs from dedicated Memory Health R&D line.
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Design, develop, and maintain scalable software platforms supporting factory automation, analytics, and AI applications.
Build and optimize data pipelines, APIs, and backend services for structured and unstructured manufacturing data.
Contribute to the integration of AI capabilities into operational platforms, including machine learning, generative AI, intelligent agents, and workflow automation.
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Lam Research Malaysia in Batu Kawan, Penang, is seeking a Supplier QA Engineer to ensure supplier processes and products meet quality standards. You will design and maintain QA programs, inspect production and finished goods at supplier sites, and analyze data to drive improvements.
The role focuses on vacuum technology, DFx feedback, and collaboration with OEM suppliers and Lam teams to resolve issues swiftly and improve reliability.
Responsible for sustaining, preventive maintenance (PM), setup, qualification, and conversion activities for Die Prep equipment to ensure optimum machine performance and production efficiency.
Perform hands-on troubleshooting and provide systematic root cause analysis for equipment-related issues using structured problem-solving methodologies.
Lead complex equipment troubleshooting activities and drive corrective and preventive actions through tools such as 5 Why Analysis, Fishbone Diagram, and Failure Analysis techniques.
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Support to integrate classical machine learning with Generative AI to support process applications such as anomaly detection, predictive maintenance, yield optimization and etc.
Assist in building and development of NLP (Natural Language Processing) pipelines from SMT/ Mechanical Assembly process engineering critical KPOV data manipulation (eg. SMT machine performance report, Mechanical assembly measurement output)
Handling unstructured engineering data such as equipment logs, FA reports, and production records, suitable for NLP-based automation (classification, summarization, insights extraction).
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Maintain, improve, and develop QA/QC program as defined in the Company’s Quality Policy standard and control plan.
Developing and implementing quality control systems, policies, procedures, specifications, forms, checklists, reports, etc., for services, incoming material, and factory assembly, testing and shipping.
Lead on Quality incident 8D. Investigate quality problems by reviewing quality trends, tracking the root cause(s) of the problem(s), coordinating corrective actions, and implanting appropriate adjustments. Resolve inquires to satisfaction in a professional, timely manner, responding verbally and/or in writing.
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Serve as the primary administrator and operational owner of the organization’s Active Directory and Microsoft Entra ID directory services.
Manage user accounts, security and distribution groups, Group Policy (GPO), and organizational units across the Active Directory environment.
Design, implement, and maintain hybrid identity using Azure AD Connect - synchronization between on-premises AD and Entra ID, seamless single sign-on, and password hash sync / pass-through authentication.
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