YIELD ENHANCEMENT ENGINEER
Core
Analyze inline/param/probe/DOE data to identify yield detractors and drive continuous improvement in semiconductor manufacturing.
Role type
Yield Enhancement Engineer (Semiconductor Manufacturing)
Builds
Memory and storage solutions (DRAM, NAND, NOR) for data centers, AI, 5G, and mobile applications.
Domain
Semiconductor manufacturing / Memory technology
Deliverable
production ML models | product features | dashboards & analysis
Required skills
Semiconductor device physics, statistical tools, root-cause analysis (FMEA, 8D, SPC), data visualization (Tableau), scripting (Python, SQL), AI/LLM application for engineering workflows
Preferred skills
Automation, machine learning, AI-driven analysis, SPC/DOE/FDC/EDA, defect inspection, inline metrology, memory architecture (DRAM/NAND), technology transfer
Technologies
JMP, Python, SQL, Tableau, Power BI, Copilot, YMS Genie, Agentic AI, LLMs
Responsibilities
Analyze inline/param/probe/DOE data to identify yield detractors; Apply semiconductor device physics and statistical tools to troubleshoot yield issues; Collaborate with module engineering teams to diagnose process/tool-related yield variation; Perform root-cause analysis using FMEA, 8D, SPC; Publish Pareto analyses and maintain dashboards; Support new technology transfer and process baseline setup; Conduct material, process, and equipment evaluations; Leverage AI-enabled solutions to accelerate yield analysis and automate workflows; Develop Tableau dashboards for yield monitoring and trend detection
Seniority
Mid-level, hands-on IC
