Fault Detection & Classification Data Science Engineer

What you'll do

• Lead the development, testing, and deployment of AI and data-driven solutions for early detection of process anomalies.
• Own and oversee the full lifecycle of the Fault Detection and Classification system's implementation and maintenance.
• Manage the integration of FDC systems with other factory processes and infrastructure.
• Analyze data trends to identify areas for improvement and implement necessary system updates.
• Develop and deploy new machine learning models and methods for fault detection and classification.
• Drive continuous improvement of the FDC system through data-driven decision making.
• Create FDC methods and systems that meet the specific business needs of tier-1 foundries.

What we're looking for

• Bachelor's degree or higher in Data Science, Machine Learning, Computer Science, Engineering, or a related field.
• 7+ years of experience in data science, machine learning, or a relevant field.
• Experience in the semiconductor industry (preferred).
• 5+ years of FDC experience (preferred).
• Ability to develop and deploy AI and data-driven solutions for fault detection and analysis.
• Ability to manage system evolution and integration with other factory systems and processes.
• Applicants must be authorized to access information subject to U.S. export control laws or eligible for government authorization.