ASIC Quality Data Analyst
Austin, Texas
Hybrid, on-site work schedule
Ericsson Silicon is expanding its custom ASIC capabilities for 5G Advanced and 6G. The Central Engineering ASIC Quality team supports product quality and reliability throughout the ASIC lifecycle. The analysis starts with factory failures and field returns and follows the evidence wherever it leads, including wafer fabrication, assembly, and test. Semiconductor expreience is required for this opening.
We are looking for an ASIC Quality Data Analyst with strong AI and analytical capabilities to analyze factory and field failures, identify recurring failure signatures, and support root-cause investigations. The role brings together production test, manufacturing, repair, and field-return data to reduce the time needed to diagnose failures and establish root causes. The findings will also support test development and screening improvements that reduce defective parts per million (DPPM) and improve the quality of our products in the field.
What you will do:
You will own the analytical work supporting factory and field failure investigations, including data correlation, analytical tools, automated workflows, and reporting. You will work with internal factories, field organizations, Product Engineering, Test Engineering, Quality, and other engineering teams to develop evidence and evaluate failure hypotheses. Engineering and Quality owners remain responsible for confirming root causes, making containment decisions, and implementing corrective actions. You will also engage semiconductor fabs and external manufacturing partners as needed to trace failures across the supply chain and support corrective actions.
Analyze factory production, test, repair, and field-return data to identify failure trends, recurring signatures, quality escapes, and emerging product risks.
Work directly with internal factories and field organizations to collect and correlate failure evidence, prioritize analytical work with investigation owners, and support containment, root-cause analysis, and corrective actions.
Collaborate with Product Engineering, Test Engineering, ASIC Design, Reliability, Quality, Manufacturing, Validation, and System Debug teams to investigate factory and field issues and validate technical findings.
Develop and maintain tools, scripts, and analytical models that correlate factory and field data, identify recurring failure signatures, and prioritize hypotheses for engineering investigation.
Build and maintain automated data pipelines linking factory test, manufacturing hist