Problem Solving – leading area Quality Improvement Team (QIT) in resolving customer returns or internal quality events through comprehensive 8D methodology and data-driven root cause analysis tools (eg. 3x5 Whys, Fault Tree Analysis, Is/ Is-Not…)
Containment & Disposition – responsible on quality event containment scoping, risk assessment, material disposition (including coordinate Material Review Board (MRB)) and production recovery.
Quality Core Tools – Extensive knowledge and experience in APQP, PPAP, FMEA, CP, MSA & SPC
Statistical Outlier Control – establish, maintain and optimize robust outlier detection mechanisms driving LRR and Signal-to-Noise improvements; Advanced Six Sigma analytical tools such as ANOVA, Design of Experiments (DOE) to resolve complex/ multi-variable quality issues.
Support new product introduction (NPI) qualification by ensuring quality requirements are incorporated from beginning.
Minimum requirements
Bachelor’s degree in Electrical/ Electronic Engineering, Mechanical Engineering, Material Science, Computer Science, Data Science or related technical discipline.
Minimum of 5 years hands-on quality and reliability engineering experience in Semiconductor Assembly & Test Manufacturing environment with strong analytical and problem-solving skills and ability to work effectively in fast-paced and rapidly changing environments
Deep practical working knowledge of IATF16949 and VDA 6.3 audit framework
Solid process knowledge of critical semiconductor process (Wafer Dicing, Die Attach, Wire Bond, Mold or Trim & Form) and associated Control Plan & Process FMEA.
Strong influencing skill in building Zero Defect quality performance
Uncompromising commitment to quality, ability in making hard decisions, challenge risk-based thinking and decision in stopping manufacturing lines when quality boundaries are at risk
Strong executive communication skills both verbal and writing with proven experience presenting technical 8D reports and risk assessments to automotive customers and company leadership.
Preferred Qualifications
Familiar with MBayse, Spotfire, 8D, Root cause analysis techniques
Experience with standard Quality Systems such as QTS, SFC, QC Story, Alerts
Certified Six Sigma Green Belt or Black Belt and advanced proficiency in statistical software such as JMP
Hands-on experience on AI/ Automation in converting labor-intensive tasks such as manual data analysis, trend monitoring or task tracking
Knowledge and experience in new package/ technology introduction and review process and change control management