Product Quality Assurance & Quality Engineering (PQA / PQE)
Core
Drive product and in-line process quality for Back End manufacturing by establishing data-driven methodologies to identify, analyze, and mitigate quality risks across assembly, test, and probe operations.
Role type
Senior IC Product Quality Assurance & Quality Engineering (PQA/PQE)
Builds
High Volume Manufacturing (HVM) and New Product Introduction (NPI) memory and storage products
Domain
Semiconductor manufacturing (memory and storage solutions)
Deliverable
production ML models
Required skills
Structured problem solving, Data analysis, AI and advanced analytics, Root cause analysis, 8D methodologies, Statistical analysis, Quality metrics development, Risk assessment, CAPA implementation, Data mining
Preferred skills
Semiconductor industry experience, English and Mandarin proficiency, JMP, Power BI, SQL, Python, AI-assisted engineering tools, Machine learning, Generative AI, Digital manufacturing solutions
Technologies
JMP, Power BI, SQL, Python, AI-assisted engineering tools, Machine learning, Generative AI
Responsibilities
Drive product and process quality improvement through structured problem solving and continuous improvement initiatives; Leverage AI and analytics to identify systemic failure modes and automate lesson-learned fan-out; Transform deviations and MRB learnings into scalable risk prevention mechanisms; Collaborate with cross-functional teams to resolve quality issues; Develop and communicate quality metrics and dashboards; Lead quality risk assessments and root cause investigations; Manage quality-deviated products and lead MRB activities; Implement 8D methodologies and quality management processes; Utilize data mining and workflow automation to improve quality effectiveness; Support product qualification activities and customer audits.
