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The Characterization and Test Engineer will play a key role in the Scottsdale Device Characterization Laboratory, supporting semiconductor technology development through wafer-level electrical characterization, reliability testing, and test automation. This position combines hands-on semiconductor testing with Python-based system control, large-scale data analysis, and the practical integration of artificial intelligence and machine learning into laboratory workflows.
The successful candidate will operate advanced semiconductor measurement systems and semi-automatic probe stations, develop automated test solutions, analyze complex data sets, and deliver accurate, timely, and traceable engineering results. The engineer will also help modernize laboratory operations by applying AI-assisted development, machine-learning methods, automated data-quality checks, anomaly detection, and intelligent report generation where these approaches provide measurable improvements in test efficiency and data quality.
This position is well suited for an engineer who enjoys working directly with semiconductor devices and laboratory equipment while also using software, data analytics, and emerging AI technologies to solve practical engineering problems. Candidates should be comfortable taking ownership of test systems, troubleshooting hardware and software, learning unfamiliar measurement techniques, and converting engineering requirements into reliable and scalable test workflows.