SPC Expert III - (E3)

• Develop and implement advanced process control strategies to monitor and control critical parameters during semiconductor manufacturing processes.
• Collaborate with cross-functional teams, including process engineers, equipment engineers, and data scientists, to identify process improvement opportunities.
• Candidate will have a hands on knowledge of Statistical Process Control.
• Fundamentals of Process control in a factory setting, including concepts of spec management, control limit calculation and use of SPC WE rules.
• Understanding of SPC KPIs and quality control methods and standards.
• Understanding of SPC performance metrics and maturity concepts.
• Knowledge of context mapping for SPC is essential to helping customers understand best practices.
• Candidate will need to be hands on in configuring and setting up SPC systems with customers.
• The integration of SPC data to FDC (Fault Detection Classification) is also essential.
• Understanding front end semi and backend semi is a minimum requirement.
• Adjacent industries adopting SPC standards and practices.
• Candidate will help customers learn the systems and work to resolve new requirements that may arise.
• Candidate will have direct influence of the SPC system roadmap by working with the GPM (Global Product Manager)
• Capture new customer requirements
• Help Explore new methods of SPC when required including helping scope requirements to develop AI based SPC functions for customers
• Collaborate with equipment customers to understand and integrate new process capabilities into the advanced process control framework.
• Stay up-to-date with the latest advancements in advanced process control technologies and industry best practices.
• Provide technical support and training to manufacturing teams on advanced process control tools, methodologies, and techniques.
• Contribute to the development and implementation of data analytics methodologies to extract actionable insights from process data.

• Bachelor's degree in engineering discipline required, Masters preferred
• Solid understanding of semiconductor manufacturing processes, including lithography, etching, deposition, and metrology.
• Knowledge of advanced process control concepts, methodologies, and tools, such as Statistical Process Control (SPC), fault detection and classification (FDC), and run-to-run control (R2R).
• Proficiency in programming languages, such as Python, MATLAB, or R, for data analysis and modeling is preferred.
• Experience with advanced process control software platforms, such as Siemens Opcenter, Applied Materials SmartFactory, or KLA AIQus.
• Excellent analytical and problem-solving skills, with the ability to analyze complex data sets and identify methods of applying SPC.
• Strong communication and interpersonal skills to collaborate effectively with cross-functional teams and present findings to stakeholders.
• Ability to work in a fast-paced, dynamic environment and manage multiple projects simultaneously.
• Knowledge of semiconductor industry standards and regulations is desirable.
• Language skills: Mandarin and English are required.

Applied Materials