Process Engineer (Semiconductor Equipment / Skills In Data Analysis & Equipment Design)

Responsibilities Design and implement machine processes to improve machine efficiency, reliability, and product quality. Conduct process corner studies to optimize key parameters and ensure machines operate within definedspecifications. Analyze machine performance data to identify trends, improve accuracy, and resolve process-related issues. Develop and validate process control strategies to maintain consistent equipment performance and meet customer specifications. Lead equipment qualification activities (FAT / SAT). Define and document machine technical requirements, including detailed specifications, SOPs, and risk assessments (PFMEA). Perform root cause analysis on equipment and process issues, implementing corrective and preventive actions using methodologies such as 8D and DMAIC. Collaborate with design engineering teams to ensure manufacturability and maintainability of new equipment. Support new product development by scaling prototypes for production readiness. Train manufacturing and customer service personnel on process standards, troubleshooting, and best practices. Evaluate new customer materials and components for compatibility with existing equipment and processes. Provide technical support for customer escalations, including in-house and on-site troubleshooting. Ensure machine compliance with regulatory requirements such as JDEC/EIA standards throughout productdevelopment and implementation. Apply statistical process control (SPC) and Six Sigma methodologies to reduce variation and improve machine process capability. Drive continuous improvement projects to enhance equipment performance and reduce operational costs. Qualifications Bachelor’s degree in engineering or related discipline. Over 3 years of experience in process or application engineering within semiconductor equipment manufacturing/OEM environment. Strong data analysis skills and using tools such as MS Excel, JMP, or Minitab and methodologies (SPC, Six Sigma, Lean) is required. Strong …