Job description:
- Own overall product yield performance and key yield metrics
- Drive yield improvement, scrap reduction, and excursion management while leading root cause analysis and implement corrective actions
- Prepare engineering reports, qualification documents, and yield summaries
- Apply AI and data analytics to enhance yield prediction, detect process anomalies, and optimize manufacturing performance
- Analyse large datasets using JMP, Minitab, Python, SQL to apply statistical methods to predict issues and improve process margins
- Provide technical support and data for customer feedback and engineering reviews
- Collaborate and work closely with OSAT partners, Supplier Quality Engineering and Customer Quality Engineering
- Lead product qualification, reliability assessment, and risk mitigation
- Mentor junior engineers and support cross-functional technical discussions
Profile description:
- Bachelor's or master's in electrical/Electronics/Materials Engineering or related field
- 5+ years of experience in semiconductor product or yield engineering
- Strong skills in data analytics, SPC, DOE, and statistical tools (e.g., JMP, Minitab, Python, SQL Spotfire)
- Experience with high-volume manufacturing and NPI processes
- Strong problem-solving mindset with hands-on curiosity.
- Able to drive decisions in a fast-paced, multi-site environment.
- Excellent communication skills and ability to lead technical discussions.
[Confidential Information]
+65 () 62402395
