Engineer, Manufacturing Engineering
Listed on Western Digital’s official careers site. Posted October 14, 2026. Check that it is still open and apply there.
Apply on Western Digital’s careers site →Job description
ESSENTIAL DUTIES
AND RESPONSIBILITIES: Design, develop, and maintain control systems and automation solutions for manufacturing processes. Troubleshoot PLC, HMI, SCADA, sensors, drives, and instrumentation issues. Optimize machine performance, reliability, and Overall Equipment Effectiveness (OEE). Lead root cause analysis and implement corrective and preventive actions for equipment failures. Support new equipment installation, commissioning, and validation activities.
Develop and update electrical drawings, control logic documentation, and standard operating procedures. Coordinate with production, maintenance, quality, and engineering teams to ensure operational excellences. This position is part of our Early Career program at WD. Our Early Career program is designed to support individuals beginning their professional career by providing the foundational training through a structured onboarding, mentorship, and development curriculum.
Qualifications
Qualifications
REQUIRED: Master's Degree in Instrumentation & Control Engineering, Electrical Engineering, Mechatronics, or a closely related engineering discipline.
PREFERRED
Knowledge of industrial networks, instrumentation, and electrical systems. Strong analytical and problem-solving skills. Good communication and teamwork abilities. Experience with PLC programming and troubleshooting (e.g., Siemens, Rockwell Automation, Mitsubishi, Omron).
SKILLS
Strong foundational knowledge in instrumentation principles, control theory, and process automation. Familiarity with PLC programming (e.g., Siemens, Allen-Bradley), SCADA systems, and DCS architecture. Understanding of sensor technologies (pressure, temperature, flow, displacement, vision systems). Exposure to data acquisition systems and signal conditioning. Knowledge of calibration standards and metrology practices is an added advantage.
Basic proficiency in data analysis tools (Python, MATLAB, or equivalent) is preferred. Understanding of statistical process control (SPC) and Six Sigma methodologies is an advantage.
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