Nijmegen/Bangkok
04-08-2022
22-12-2022
NXP Semiconductors N.V. (NASDAQ: NXPI) provides High Performance Mixed Signal and Standard Product solutions that leverage its leading RF, Analog, Power Management, Interface, Security and Digital Processing expertise. These innovations are used in a wide range of automotive, identification, wireless infrastructure, lighting, industrial, mobile, consumer and computing applications. A global semiconductor company with operations in more than 35 countries, over 45.000 employees and a revenue of over $10 billion.
• To drive or facilitate new product/package qualification.
• To ensure new product introduction is fully prepared for product manufacturability, enabling required QCD, including rapid time to market.
• To manage production ramp-up for a new product in an established source and is responsible to manage product transfers in an established source (FAB, Test, and Assembly).
• To provide yield monitoring and analysis in cooperation with Manufacturing, Wafer fab and Test Engineer, etc.
• To drive and facilitate product and yield improvements in term of cost (test parameter reduction and test stage elimination), quality, delivery and related technical issues.
• To drive and continuously improve product manufacturability, including time to yield, R&R improvement, hold lot prevention, product-process fit, test time reduction, etc.
• To apply technical knowledge for problem solving in developing or manufacturing environment.
• To provide systemic analysis, organization and review of various manufacturing and electrical data sources to establish solutions for product improvement.
• Bachelor's or Master’s degree in Electronic Engineering or Relate field.
• At least 5 years or more experience in Semiconductors industry required.
• Knowledge in wafer FAB processes, CMOS and Non-volatile process, Wafer / IC testing and IC assembly process, is required.
• Experience of cost down or yield improvement such as process improvement, PPM reduction such as quality screening or test coverage etc. are required.
• Excellent in statistic knowledge and data analysis with statistic tools (Data power, Exensio, JMP, etc.)
• Will and ability to move deeper into process technology to be better able to derive conclusions based on data Analysis.
• Capability for taking initiative and constructively challenging the status quo.
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