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
Builds
Memory and storage solutions (DRAM, NAND, NOR)
Domain
Semiconductor manufacturing / Yield Engineering
Deliverable
production ML models
Required skills
Semiconductor device physics, Statistical analysis, Root-cause analysis (FMEA, 8D, SPC), Data visualization (Tableau), Python/SQL scripting, AI/LLM application for engineering workflows
Preferred skills
Automation, Machine learning, Memory architecture (DRAM/NAND), Technology transfer, Project management
Technologies
JMP, Tableau, Python, SQL, 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; 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 and AI-Assisted solutions to accelerate yield analysis and automate workflows; Develop and maintain Tableau dashboards for yield monitoring.
Seniority
Mid-level, hands-on IC