fractile - Product & Yield Engineer (Data-focused)

• Demonstrable experience within the semiconductor industry in Product Engineering, Test Engineering, Yield Engineering, Data Analytics or Quality Engineering, ideally spanning NPI through to high-volume production • Strong experience analysing semiconductor manufacturing and test data to identify trends, correlations, excursions, yield loss mechanisms and opportunities for improvement • Solid experience in as many of the following areas as possible: • Wafer fab: analysis of Process Integration, Yield Enhancement, D0 Control, defect reduction and process variation data • IC Assembly: Assembly Process or Package Design, 3D IC and wafer stacking, Assembly Quality Control, BOM optimisation and Yield Engineering • Fabless Semiconductor: IC Product Qualification, reliability and failure analysis, RMA investigation and production monitoring • Strong knowledge of WAT, WS/CP and FT datasets, including correlation across manufacturing and test stages • Excellent data mining, statistical analysis and root-cause investigation skills, with the ability to turn complex datasets into clear engineering conclusions • Experience identifying yield signatures, parameter distributions, outliers, spatial patterns, lot-to-lot variation and systematic versus random failure mechanisms • Extensive hands-on use of semiconductor industry data analysis tools and software such as yieldHUB, Spotfire, JMP or equivalent • Ability to create scripts, automated analyses, dashboards and repeatable analytical workflows for standard engineering investigations and reporting • Experience applying statistical methods to semiconductor manufacturing data, including SPC, Cp/Cpk, distributions, correlation analysis, hypothesis testing and trend analysis • Ability to combine data from multiple sources and manufacturing stages to investigate complex product and process issues • Familiarity with FMEA-derived semiconductor qualification plans and relevant standards such as JEDEC • Understanding of semiconductor failure analysis methods and the ability to use analytical data to guide selection of destructive and non-destructive investigation techniques • Strong ability to communicate analytical findings through concise visualisations, reports and technical presentations • Comfortable working independently on ambiguous technical problems and driving investigations from initial data exploration through to a supported conclusion • Good communication skills and a collaborative, team-player attitude • Self-starter, flexible and able to manage multiple analyses and investigations in parallel • Willing and able to travel worldwide when needed • Experience building automated semiconductor yield-monitoring, reporting or anomaly-detection workflows • Experience working with large semiconductor datasets using SQL, Python or similar data-analysis tools • Experience developing dashboards, standard analytical journals or reusable engineering analysis frameworks • Multi-cultural awareness, including experience working with Far East suppliers and manufacturing partners • A Bachelor's degree or above in Electronics, Microelectronics, Semiconductor Physics, Engineering or a similar discipline