Controls Engineer

Job Description

We are seeking a skilled Controls Engineer to support advanced robotics and automation projects in a semiconductor fabrication (FAB) environment. This role focuses on designing, programming, and maintaining robotic systems that enhance wafer handling, material transport, and process automation. The ideal candidate will have a strong background in industrial controls and robotics integration within high-tech manufacturing environments.

Key Responsibilities:

Design and implement control systems for robotic and automated equipment in semiconductor FABs.

Program and troubleshoot PLCs, HMIs, and motion controllers for robotic systems.

Integrate robotic arms, vision systems, and automation components into cleanroom workflows.

Collaborate with cross-functional teams to support system commissioning, validation, and optimization.

Develop and maintain technical documentation including control schematics, ladder logic, and system operation manuals.

Conduct root cause analysis and implement corrective actions for control system issues.

Interface with vendors and OEMs to specify and procure automation components.

Provide training and support to operations and maintenance teams.

Qualifications:

Bachelor’s or Master’s degree in Controls Systems, Electrical Engineering, Mechatronics, Robotics, or related field.

Experience in controls engineering, preferably in semiconductor or high-tech manufacturing.

Proficiency in PLC programming (e.g., Siemens, Allen-Bradley, Mitsubishi).

Familiarity with industrial communication protocols (EtherCAT, EtherNet/IP, SECS/GEM).

Strong understanding of robot kinematics, motion control, and machine safety standards.

Experience working in cleanroom environments and with FAB automation systems (e.g., AMHS, FOUP handling).

Preferred Skills:

Experience with Omron robotics platforms, including Sysmac Studio, NJ/NX series PLCs, and SCARA/Delta/6 axis robots.

Familiarity with Omron FH vision systems and AI-based robotic guidance.

Knowledge of SCADA systems, MES integration, and data acquisition.

Exposure to Industry 4.0 technologies and digital twin modeling.