Package Design and Development Quality Assurance Engineer - Data Analytics
Core
Develop automation, data analysis, and AI/ML solutions to assess and mitigate risks in new package technologies, improve efficiency, and support quality problem-solving.
Role type
Senior IC data analytics and ML engineer (semiconductor packaging)
Builds
Automated data pipelines, reporting tools, data visualizations, and ML models for quality risk assessment
Domain
Semiconductor manufacturing / Data Analytics / Machine Learning
Deliverable
production ML models | dashboards & analysis | infrastructure
Required skills
Statistical modeling, machine learning algorithms, Python, SQL, object-oriented programming, full-stack web development, cloud computing, distributed systems
Preferred skills
Mentoring, technical publishing, project management, change management
Technologies
Python, Java, C++, React, Angular, AWS
Responsibilities
Set up databases and develop data ingestion pipelines; analyze manufacturing and reliability data to support root cause findings; implement automated data analysis and reporting tools; collaborate with engineering teams to map package DDQA processes; train internal customers on reports and tools; present data analyses to various groups
Seniority
Senior, hands-on IC