IT Manager (Advance Engineering Control)

Job Summary:

We are seeking a highly skilled and motivated Advanced Engineering Control (AEC) Manager to lead and drive the development, deployment, and optimization of advanced control systems in a high-tech manufacturing environment. The ideal candidate will have deep expertise in Advanced Process Control (APC), Fault Detection and Classification (FDC), and Run-to-Run (R2R) Control, AI-Based or Algorithm-Based Equipment Tuning and will be responsible for managing a team of engineers to ensure process stability, yield improvement, and equipment performance enhancement.

Key Responsibilities:

• Lead the AEC team in the design, implementation, and maintenance of APC, FDC, and R2R control systems across manufacturing processes.
• Collaborate with process, equipment, and IT teams to integrate control solutions into production environments.
• Drive continuous improvement initiatives using data analytics, machine learning, and statistical process control.
• Develop and maintain control strategies to ensure process robustness and product quality.
• Oversee the development of fault detection models and classification algorithms to minimize downtime and improve equipment reliability.
• Ensure timely deployment and tuning of R2R controllers to maintain process targets and reduce variability.
• Monitor system performance and lead troubleshooting efforts for control-related issues.
• Provide technical leadership, mentorship, and training to team members.
• Stay current with industry trends and emerging technologies in advanced control systems.

Qualifications:

Education:

• Bachelor’s or master’s degree in electrical engineering, Chemical Engineering, Computer Science, or a related field.

Experience:

• Minimum 8 years of experience in semiconductor or high-tech manufacturing with a focus on APC, FDC, and R2R.
• Proven leadership experience in managing engineering teams and cross-functional projects.

Technical Skills:

• Strong knowledge of control theory, signal processing, and statistical modelling.
• Experience with APC platforms (e.g., KLA, Applied Materials, or in-house systems).
• Proficiency in programming/scripting languages such as Python, MATLAB, or C++.
• Familiarity with data analytics tools and manufacturing execution systems (MES).

Soft Skills:

• Excellent problem-solving, communication, and project management skills.
• Ability to work in a fast-paced, collaborative environment.