FDC Data Science Engineer - AI-Driven Fault Detection Lead

Samsung Electronics; Austin (TX); On-site; USD 106,000 - 175,000; Full time

Benefits offered by this job

Medical insurance

Dental insurance

Vision insurance

Life insurance

401(k) matching

Onsite café/workout facilities

Job summary

Samsung Austin Semiconductor is seeking a Data Scientist Engineer to lead the development and deployment of the Fault Detection and Classification (FDC) system in our advanced semiconductor fab. You will apply data science, machine learning, and anomaly detection techniques to drive system evolution and improve equipment monitoring.

You will own the FDC lifecycle, collaborate with cross-functional teams, and ensure tight integration with factory systems.

Qualifications

• Bachelor’s degree or higher in Data Science, ML, CS, Engineering or related field.
• 7+ years of experience in data science, ML, or a related field, preferably in semiconductors.
• 5+ years of experience in Fault Detection & Classification (FDC) systems.

Responsibilities

• Lead the development, testing, and deployment of AI and data-driven solutions for the FDC system, focusing on early detection and analysis of process/equipment anomalies.
• Own and oversee the development, implementation, and maintenance of the FDC system.
• Manage the system’s evolution and integration with other factory systems and processes.
• Coordinate with cross-functional teams to optimize the FDC system for overall factory performance.
• Drive continuous improvement of the FDC system through data-driven decision making.
• Analyze data and trends to identify areas for improvement and implement system updates.
• Collaborate with data scientists and engineers to develop and deploy new models and methods for fault detection and classification.
• Develop and implement FDC methods and systems that meet the business needs of tier-1 foundries.

Skills

Data science

Machine learning

FDC experience

Semiconductor industry experience

Education

Bachelor’s degree or higher in Data Science, Machine Learning, Computer Science, Engineering

Job description

Samsung Austin Semiconductor is seeking a Data Scientist Engineer to lead the development and deployment of the Fault Detection and Classification (FDC) system in our advanced semiconductor fab. You will apply data science, machine learning, and anomaly detection techniques to drive system evolution and improve equipment monitoring.

You will own the FDC lifecycle, collaborate with cross-functional teams, and ensure tight integration with factory systems.