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The Staff Engineer in Process Development focuses on optimizing thin film processes and ensuring integration readiness, while mentoring junior engineers and driving continuous improvement through AI tools.

The MTS leads initiatives in NAND Advanced Thin Films, performs complex experiments, mentors engineers, and ensures continuous process improvement and technology transfer.

The Principal Engineer leads technical strategy and innovations in Cell Film process development for NAND devices, ensuring integration into manufacturing and resolving complex technical challenges.

Lead automation projects to improve labor efficiency across manufacturing processes: identify opportunities, design solutions with vendors, manage implementation to production release, define and run tests, analyze results, and collaborate with cross-functional teams to ensure ROI, safety, and ramp-up success.

Develop and maintain metrology measurement recipes and inspection strategies to detect defects and improve yield. Use advanced analytics and SPC to monitor tools, design experiments to find defect sources, collaborate with cross-functional teams and suppliers, and run projects to improve inline detection, efficiency, cost, and tool availability. Integrate AI-assisted tools and provide data-driven recommendations to support fab operations and continuous improvement.

Design and implement advanced process control, automation, and analytics solutions for semiconductor manufacturing. Collaborate with process teams, apply statistical analysis and machine learning to improve yields, maintain global control applications, and deliver training while promoting continuous improvement and responsible use of AI tools.

Plan, schedule, and implement new tool installations, relocations, and chamber retrofits. Develop and own equipment maintenance procedures and preventative schedules. Collaborate with process owners and vendors to improve equipment performance, uptime, and cost reduction, and report on improvements. Maintain QMS components and integrate AI-assisted tools to drive continuous improvement.

Design, develop, deploy, and maintain automation software for factory operations including autonomous material delivery, scheduling, and equipment automation. Collaborate with manufacturing and global automation teams, own end-to-end solution lifecycle, troubleshoot production systems, use data analysis and visualization, and integrate AI-assisted tools to drive continuous improvement and operational efficiency.

Lead development and optimization of photolithography processes for advanced nodes, define process and equipment roadmaps, integrate new technologies, drive technology transfer with global teams, implement advanced process control (DOE/statistics/simulation), perform material and reticle/OPC evaluations, optimize overlay, mentor engineers, and contribute IP and AI-enabled process improvements.

Own probe strategy and silicon learning at wafer test across pre-silicon staging, first-silicon bring-up, qualification, and HVM. Define probe coverage, limits, guard-bands, and probe test flows; drive yield, quality, and test-cost outcomes. Collaborate with Design, DFT, DV, Process Integration, Backend Test, and Reliability to enable manufacturable probe solutions and apply data/AI for test optimization.