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. Own the site-level RDA strategy and annual roadmap aligned to NAND TD technology nodes.
. Lead analysis of experimental and production flows to detect, classify, and trend systematic and random defects.
. Establish, track, and report program health metrics (baseline health, detection rates, false positives, MTTR).
. Direct fast containment for defect excursions: trigger tool quarantines, define hold criteria, and lead 8D corrective actions.
. Architect inspection recipes and sampling strategies optimize sensitivity, throughput, and cost of ownership.
. Partner with Process Integration, Yield, and Data Science to correlate inspection signals to device performance and yield.
. Influence supplier roadmaps evaluate, qualify, and release next‑gen optical/e-beam inspection capabilities.
. Standardize and disseminate Best Known Methods (BKM) across global TD and manufacturing sites.
. Mentor, coach, and upskill engineers develop succession plans and technical ladders within the RDA domain.
. Champion safety and continuous improvement (CIP) drive kaizen/lean initiatives that improve cycle time and learning velocity.
. Serve as the technical lead for RDA methodologies and execution within NAND TD.
. Perform root cause analysis using statistical, image-based, and data-driven techniques.
. Develop, own, and communicate inspection and defect detection technology roadmaps.
. Define program health metrics and drive continuous improvement initiatives (CIP).
. Lead tool anomaly investigations, quarantine decisions, and corrective action planning.
. Collaborate globally to align Best Known Methods (BKM) across sites.
. Technology Development (TD) Process and Integration teams
. Yield Analysis and Data Science organizations
. Global Manufacturing and Operations
. Inspection/metrology equipment suppliers
. Program and engineering leadership across regions
. Bachelor's degree with 7+ years relevant semiconductor experience, or Master's/PhD with 5+ years.
. Minimum 1 year of hands-on RDA experience in semiconductor manufacturing or equipment engineering.
. Demonstrated expertise in defect inspection, process monitoring, and yield learning.
. Realtime Defect Analysis (RDA) systems and workflows.
. Optical and e-beam inspection technologies.
. Statistical data analysis, correlation development, and large dataset interpretation.
. Semiconductor process integration and technology development.
. Root cause analysis and systematic problem solving (e.g., 8D, DMAIC).
. Recognized technical authority with the ability to influence without direct authority.
. Strong mentoring and coaching mindset with proven talent development outcomes.
. Clear, concise communication skills across technical and executive audiences.
. Ownership-driven, execution-focused comfortable operating in ambiguity.
. Reduced defect-related yield loss and faster learning cycles.
. On-time qualification and adoption of next-generation inspection capabilities.
. Uplift in organizational RDA skill depth and succession pipeline.
. Alignment of inspection strategy and capability to future NAND nodes.
Job ID: 148082897
Skills:
Machine Learning, KLA, Data Analysis, Statistical Modeling, optical and electron beam inspection methods, e-beam technologies, AMAT
Skills:
Root Cause Analysis, Large dataset interpretation, Statistical data analysis correlation development, Semiconductor process integration and technology development, Optical and e-beam inspection technologies

Skills:
Promotion of Innovation, Data Analysis, Cross-Functional Collaboration, DRAM architecture, scripting tools such as Python or JMP, Reliability Test Flow Development, DPM reduction, Risk Management, Reliability Test Plan and Execution, Project Management, Root Cause and Resolution of Qual and RMA Device Issues, Statistics, CMOS technology, Process Conversions and HVM, Mentorship and Development of Others, Technical Decision Making
Skills:
process qualification , module development , semiconductor tooling, semiconductor process integration, integration debugging, device characterization
Skills:
Bom, materials characterization, mechanical assessment, Product Development, Continuous Improvement, cross functional integration, Control Plans, prototype build, engineering documentation, Root Cause Analysis, defect catalog
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