IC Product Engineer

JOB DESCRIPTION:

• Product Test Yield and Key Test Parameters Analysis in relationship & correlation to key contributors from upstream manufacturing process such as laminators in assembly or failure patterns of a wafer map.

• Drive New Product Introductions to meet schedule, commit to root cause analysis, problem solving and drive solutions to make sure of the OTD.

• Adequate data minding and analytics skills to deliver speedy detection, prevention and prediction measures.

• Collaborate with respective product owner PE to drive yield improvement opportunity based on data analysis or specific excursion with timely detection of abnormality or commonality studies.

• Quality Monitoring Data & Customer Complaint Analysis in relations to Test Information & Manufacturing Process Data

• Analyze real-time monitoring data abnormality (Maverick) detection & prevention measures effectiveness for applicable semiconductor manufacturing processes.

• Collaborate with Manufacturing Site to Drive Data-Driven Process Optimization for Yield and Quality Improvement

• Work closely with on-site Product, Test or Process engineers to analyze production data, identify trends, and optimize manufacturing processes.

• Failure Mode Analysis & Customer Risk/RMA Mitigation

• Collaborate with quality, process, product engineer on in-depth failure mode and effects analysis (FMEA) using historical and real-time data to predict and mitigate potential defects.

• Collaborate with manufacturing teams to implement corrective actions based on predictive insights.

ADDITIONAL RESPONSIBILITIES :

• Track wafer and package yield trends on a daily basis

• Leverage 2DID and Die Level Traceability to perform novel analyses and move yield/quality issues upstream to wafer level whenever possible

• Identify opportunities for cost reduction

• Generate analyses aimed at highlighting device sensitivities and interactions between design/fab/assy/test

• Monitor/Report on KPI's and facilitate data-driven decision making

• Bachelor’s or Master degree in Telecommuniations, Computer Science, Electrical Engineering, or a related field, with specialized knowledge in semiconductor manufacturing processes. Experience in predictive analytics for yield and quality in semiconductor fabs is highly desirable

• Proficiency in microwave transmission line and S-parameter theory.

• Proficiency in at least one of following programming languages such as Python, Javascript or C# would be a plus.

• At least 3 years of experience working in semiconductor manufacturing, particularly in roles focused on process monitoring, yield improvement, and quality control. Familiarity with Fab, Die probe, and Assembly processes is essential.

• Strong communication skills to effectively collaborate with process engineers, quality assurance teams, and other stakeholders. Ability to translate complex data insights into actionable strategies that improve product yield and quality.

• Both Chinese & English speaking ability is a plus