Product Quality Assurance & Quality Engineering (PQA / PQE)
Core
Drive product and in-line process quality for Back End manufacturing by establishing effective quality processes and data-driven methodologies to identify, analyze, and mitigate quality risks across assembly, test, and probe operations.
Role type
Product Quality Assurance & Quality Engineering (PQA/PQE)
Builds
Best-in-class product quality for memory and storage solutions
Domain
Semiconductor manufacturing (memory and storage)
Required skills
Structured problem solving, data analysis, root cause analysis, 8D methodologies, CAPA implementation, quality risk assessment, statistical analysis, workflow automation, AI-assisted engineering tools, data mining, quality metrics development
Preferred skills
Semiconductor industry experience, English and Mandarin proficiency, JMP, Power BI, SQL, Python, machine learning, Generative AI, digital manufacturing solutions
Technologies
JMP, Power BI, SQL, Python, AI-assisted engineering tools, workflow automation, Generative AI
Responsibilities
Drive product and process quality improvement through structured problem solving and continuous improvement initiatives; Leverage AI and advanced analytics to identify systemic failure modes and drive preventive actions; 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 AI tools to improve quality effectiveness; Support product qualification activities and customer audits.
