Test Data Analysis Technology Development Engineer
Core
Developing AI and machine learning techniques to automate and enhance mass production testing and failure analysis for automotive semiconductors.
Role type
Senior IC data analysis and AI engineer (automotive semiconductor testing)
Builds
Automated testing control systems, failure prediction models, and adaptive testing technologies for next-gen architectures (Chiplet/MDP)
Domain
Automotive semiconductor manufacturing and quality assurance
Deliverable
production ML models | product features
Required skills
Data analysis, statistical analysis, machine learning, Python, Linux, semiconductor testing fundamentals
Preferred skills
Semiconductor test engineering experience, systematizing technical knowledge, cross-functional communication, Chiplet/MDP knowledge, Java, SQL, Docker, Git, Jupyter Notebook, FastAPI
Responsibilities
Research and develop AI/ML models for failure prediction and anomaly detection; Develop adaptive testing and test feedback/forward technologies; Establish testing data analysis methods for next-generation products (Chiplet/MDP)
Seniority
Senior, hands-on IC
