Process Control Engineer (Semiconductor / SQL)

Your tasks

• Identify and implement opportunities to improve wafering performance, productivity, and cost using data analytics, automation, and AI/ML.
• Develop data-collection and Run-to-Run (R2R)control workflows through EES to improve process control and reliability.
• Translate manufacturing and engineering requirements into scalable solutions using Python, SQL, containerized services, and internal development tools.
• Develop, deploy, and maintain AI/ML models for manufacturing applications.
• Apply DevOps and CI/CD practices to ensure reliable, maintainable production software.
• Develop and maintain manufacturing workflows and dashboards to support operational visibility and data-driven decisions.
• Collaborate with Process Engineering, IT, and global teams to deliver scalable, cross-site solutions.
• Maintain technical documentation and provide regular activity reports.

Requirements

• Degree in Engineering, Software or related field
• Strong Python programming skills and working knowledge of SQL databases.
• Understanding of manufacturing, engineering, or process control concepts.
• Knowledge of DevOps practices, Git, CI/CD, automated testing, and production software is an advantage.
• Strong analytical and problem-solving skills with the ability to turn manufacturing data into actionable insights.

Other

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