Marcus A. Lee

Role
Process Engineer at Intel
Location
Chandler, AZ, US
LinkedIn followers
500 followers

About Marcus A. Lee

As a Process Engineer in Photolithography at Intel Corporation, I specialize in…

Experience

  1. Process Engineer

    Intel

    Sep 2019 — Present

    Achieved and sustained best-in-class process segment metrics across four leading-edge technology factories.• Collaborated cross-functionally to implement process changes, resulting in significant cumulative per-wafer yield improvements.• Proficiently managed multivariate process components to enhance wafer outcomes through model-based problem-solving.• Championed a positive and safe work environment, supporting team members\' success through recognition and ergonomic encouragement.• Realized substantial cost savings of over $1.25 million by saving 300 hours per week through automation and efficiency projects.• Initiated a factory-recognized project that continues to save our department 50 hours per week.• Pioneered automation projects adopted company-wide, enhancing productivity across multiple factories and countries.• Currently oversee 50+ critical scripts relied upon daily by engineers and managers for in-line issue mitigation, proactive containment, and quality and output optimization.• Led monthly prioritization meetings, consistently exceeding time-saving goals by an average of 30% each quarter, outperforming all other departments.• Conducted weekly progress briefings for 60+ stakeholders, recognizing key achievements and contributors.• Mentored fellow process engineers in diverse systems, including SQL, Python, Sharepoint, and proprietary tools.• Efficiently managed a diverse team of 5 engineers, successfully qualifying 15 new tools and converting 3 legacy tools ahead of schedule and within budget, satisfying manufacturing demands for the leading technology node.• Developed and managed custom processing and measurement recipes with round-the-clock project management and troubleshooting.• Developed a novel process for qualifying new tools and documenting results more efficiently (5 hours saved per run) through automation and standardization while also improving the overall quality of the process.

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