Yield Development Engineering Manager-Strategic ProgramsINTEL • Phoenix, Arizona, United States
Yield Development Engineering Manager-Strategic Programs
INTEL
- Phoenix, Arizona, United States
- Phoenix, Arizona, United States
À propos
As a key member of the technology and manufacturing leadership team, you will define long-term strategy, influence roadmaps across process integration and metrology, and drive execution of complex, high-impact programs that position the organization for future technology nodes and advanced packaging innovations. Strategic Leadership and Transformation: Define and execute a multi-year strategy for Yield and Defect Engineering, integrating AI/ML, automation, and digital transformation into core workflows. Lead enterprise-level programs to transition from reactive analysis to predictive and prescriptive yield management systems. Serve as a thought leader in AI adoption for semiconductor manufacturing, identifying high-value use cases and scaling solutions across sites.
AI-Driven Productivity and Decision Intelligence: Champion the deployment of AI/Agentic AI solutions to enhance defect detection, classification, excursion prevention, and root cause analysis. Drive integration of data platforms, digital twins, and advanced analytics into yield and defect systems. Partner with data science, IT, and automation teams to embed real-time decision intelligence into fab operations.
Operational Excellence and Yield Performance: Oversee yield performance across development and high-volume manufacturing, ensuring alignment to aggressive yield, quality, and delivery targets. Lead development of scalable defect management systems that enable early detection, excursion containment, and predictive risk mitigation. Drive large-scale, cross-site programs requiring alignment across process integration, manufacturing, equipment, and corporate strategy teams. Influence senior stakeholders and executives to align investments, priorities, and organizational focus.
Develop next-generation leaders with capabilities spanning engineering depth, data science, and AI fluency. Champion a shift from individual based to scalable, system-driven excellence. Bachelor's degree in Engineering, Physics, Materials Science, Data Science, or related field (advanced degree preferred). • 12+ years of experience in semiconductor manufacturing with deep expertise in yield engineering, defect metrology, or process integration. • Strong domain expertise in defect metrology tools, inspection systems, and yield analysis methodologies. • Experience integrating data analytics, machine learning, or AI solutions into engineering workflows. • Advanced degree (MS/PhD) in a relevant technical or data-centric discipline. • Experience leading AI/ML transformation initiatives in semiconductor or adjacent high-tech industries. • Familiarity with digital manufacturing ecosystems (data platforms, MES integration, advanced analytics tools). • Track record of defining and scaling enterprise-level engineering systems or platforms. • Strong business acumen with ability to connect technical outcomes to cost, cycle time, and revenue impact. • Experience in advanced packaging technologies (e.g., Requirements listed would be obtained through a combination of industry relevant job experience, internship experiences and or schoolwork/classes/research. All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance. It consists of competitive pay, stock, bonuses, as well as, benefit programs which include health, retirement, and vacation. This role will be eligible for our hybrid work model which allows employees to split their time between working on-site at their assigned Intel site and off-site. * Should you accept this position, you must consent to and pass an extended Background Investigation, which includes (subject to country law), extended education, SEC sanctions, and additional criminal and civil checks.
Compétences linguistiques
- English
Avis aux utilisateurs
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