Chien-Min Liao
Director, Engineering Management @Applied Materials
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WORK HISTORY
Director, Engineering Management @Applied Materials
San Francisco, CA, US
2025-Present Advanced Chamber Materials 20••••25 Common Engineering: Architectural Element Engineering, Design for Excellence20••••22 Component Engineering
EDUCATION
National Cheng Kung University
Bachelor of Science - BS
University of Maryland College Park
Ph.D
National Cheng Kung University
Master of Science - MS
SKILLS
ABOUT CHIEN-MIN LIAO
Results-driven technology executive with 20 years of experience in research, engineering, and program management, driving innovation from concept to high-volume manufacturing. Specialized in semiconductor process integration, new product introduction (NPI), and large-scale production across advanced nodes. Demonstrated success leading cross-functional programs, scaling manufacturing operations, and managing globally distributed teams, with over 8 years of direct people leadership. Recognized for expertise in process development, Design for Excellence (DFx), additive manufacturing, and advanced failure analysis. Holder of 14+ patents and author of 10+ technical papers, with a strong foundation in engineering, data analytics, and AI-driven process optimization. Ph.D. in Mechanical Engineering.Program, Product & People Leadership: • Full product lifecycle ownership, spanning test and process development (Agile, Scrum, OKRs, JIRA) • Strategic roadmap execution with proven expertise in capital planning, resource optimization, and risk management • Experienced in leading global engineering, customer, foundry, and supplier collaborationTechnical Expertise: • Semiconductor process integration: ALD, ALE, CVD, Lithography, BEOL/MEOL for FinFET and GAA nodes • Mechanical and system modeling (ANSYS, MATLAB), advanced process and test implementation • Materials and failure analysis (SEM, TEM, XPS), statistical and test analytics • Machine learning applications: CNN-based image modeling and predictive decision systemsAnalytics & Quality Excellence: • Advanced data analytics using JMP, Python, SQL for DOE-based optimization and signal processing • Quality and reliability engineering: SPC, APC, FMEA, and structured root cause analysis • Continuous improvement programs for yield enhancement, test automation, and scalable manufacturing
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