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  4. Click Websites.
  5. On the left, click Content Blockers.
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  1. Go to Settings.
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Jobs or company...

Fab IT & Automation (IT&A) Engineer

$ 8,000 - $ 12,000 / month
Checking job availability...
Original
Simplified

Responsibilities:

• Implement and maintain fab-wide applications such as Manufacturing Execution Systems (MES), Advanced Process Control (APC), and Equipment Automation.

• Develop and maintain automation solutions for semiconductor manufacturing equipment (e.g., SECS/GEM, EDA, OPC, FDC).

• Develop real-time monitoring and anomaly detection systems using machine learning.

• Work with process and yield engineers to create predictive models for defect reduction and process optimization.

• Develop and deploy AI/ML models to optimize semiconductor manufacturing processes, reduce downtime, and improve yield.

• Implement AI-powered predictive maintenance for equipment health monitoring and failure prevention.

• Work with engineering and data science teams to integrate AI- driven analytics into factory systems.

• Enhance process automation with AI-based decision-making algorithms and real-time analytics.

• Implement and optimize data acquisition, analysis, and predictive maintenance tools for production systems.

• Work with equipment suppliers and internal teams to integrate new equipment into fab IT infrastructure.

• Ensure seamless connectivity between manufacturing tools and factory control systems.

• Qualifications & Skills: Education: Bachelor's or master’s degree in computer science, Artificial Intelligence, Data Science, Information Technology, Electrical Engineering, or a related field.

Experience:

• 5+ years in semiconductor manufacturing IT, automation, AI, or a similar role preferred.

Technical Skills:

• Knowledge of MES, SECS/GEM, EDA, APC, and factory automation systems.

• Knowledge in Digital twins, smart manufacturing, cyber-physical systems.

• Knowledge in Integration of AI-driven automation with robotic process automation (RPA).

• Experience in Industrial IoT (IoT) and real-time sensor data acquisition.

• Edge computing and real-time analytics for semiconductor fab operations

• Experience with AI/ML frameworks, Expertise in programming (Python, R, Java, SQL) for AI model development and data analytics.

• Familiarity with cloud computing (AWS, Azure, GCP) and edge computing for real-time AI applications.

• Understanding of network infrastructure, cybersecurity, and IT system administration.

EA Number: 11C4879

Responsibilities:

• Implement and maintain fab-wide applications such as Manufacturing Execution Systems (MES), Advanced Process Control (APC), and Equipment Automation.

• Develop and maintain automation solutions for semiconductor manufacturing equipment (e.g., SECS/GEM, EDA, OPC, FDC).

• Develop real-time monitoring and anomaly detection systems using machine learning.

• Work with process and yield engineers to create predictive models for defect reduction and process optimization.

• Develop and deploy AI/ML models to optimize semiconductor manufacturing processes, reduce downtime, and improve yield.

• Implement AI-powered predictive maintenance for equipment health monitoring and failure prevention.

• Work with engineering and data science teams to integrate AI- driven analytics into factory systems.

• Enhance process automation with AI-based decision-making algorithms and real-time analytics.

• Implement and optimize data acquisition, analysis, and predictive maintenance tools for production systems.

• Work with equipment suppliers and internal teams to integrate new equipment into fab IT infrastructure.

• Ensure seamless connectivity between manufacturing tools and factory control systems.

• Qualifications & Skills: Education: Bachelor's or master’s degree in computer science, Artificial Intelligence, Data Science, Information Technology, Electrical Engineering, or a related field.

Experience:

• 5+ years in semiconductor manufacturing IT, automation, AI, or a similar role preferred.

Technical Skills:

• Knowledge of MES, SECS/GEM, EDA, APC, and factory automation systems.

• Knowledge in Digital twins, smart manufacturing, cyber-physical systems.

• Knowledge in Integration of AI-driven automation with robotic process automation (RPA).

• Experience in Industrial IoT (IoT) and real-time sensor data acquisition.

• Edge computing and real-time analytics for semiconductor fab operations

• Experience with AI/ML frameworks, Expertise in programming (Python, R, Java, SQL) for AI model development and data analytics.

• Familiarity with cloud computing (AWS, Azure, GCP) and edge computing for real-time AI applications.

• Understanding of network infrastructure, cybersecurity, and IT system administration.

EA Number: 11C4879