Senior - Principal Engineer, Semiconductor Data Analytics

Join a global automotive technology company developing next-generation semiconductor solutions. You will be in charge of developing advanced semiconductor data analytics capabilities to understand silicon performance, yield, and product readiness for mass production.Senior/ Principal Engineer, Semiconductor Data AnalyticsJob Description·       Semiconductor Data Analytics – Develop advanced data analytics methods to understand chip performance, identify trends, investigate failures, and generate insights that support IC design and product improvements.·       Yield & Quality Improvement – Analyse semiconductor manufacturing and test data to understand yield losses, detect abnormal results, identify potential defects, and improve product quality andreliability.·       Data Screening & Performance Analysis – Develop statistical analysis and screening methods to identify outliers, detect manufacturing issues early, and reduce defective chips reaching customers. Experience with PAT, SBL, and clustering analysis is an advantage.·       Analytics Platforms & Data Infrastructure – Develop and manage data analytics platforms, databases, dashboards, and automated reporting solutions to help engineering teams access and analyze semiconductor data efficiently.·       Industrialization & Digitalisation – Work with Design, Product Engineering, Test Engineering, and manufacturing partners to turn data insights into actionable improvements, supporting new product qualification, production ramp-up, and mass production.Job Requirements       1.      Degree or postgraduate qualification in Electrical/Electronics Engineering, Computer Science, Data Science, Statistics, or a related field, with at least 5 years of relevant experience for Senior Engineer or 8 years for Principal Engineer. Prior working experience in the semiconductor industry is essential.2.      Semiconductor Data Analytics– Hands-on experience analyzing IC design, silicon performance, semiconductor test, yield, reliability, or manufacturing data to support product understanding and engineering decisions.3.      Data Analytics Tools &Programming– Proficiency in tools such as Python, SQL, JMP, Power BI, Tableau, or Excel/VBA. Experience with Databricks or other semiconductor analytics platforms is an advantage.4.      Statistical Analysis &Quality Screening– Knowledge of statistical analysis, SPC, outlier detection, PAT, SBL, or clustering techniques. Familiarity with semiconductor test data formats such as STDF/ATDF and ATE test operations is beneficial.5.      Problem-Solving &Collaboration– Strong analytical and troubleshooting skills, with the ability to translate complex data into practical engineering insights. Able to work independently and collaborate with cross-functional teams to improve chip performance, yield and readiness for mass production.Interested applicants, kindly send in a copy of your updated resume in WORD document to [email protected] stating your current and expected remuneration together with notice period required to current employer. You can also contact Vincent Low for a confidential discussion at 6749 4236.