Manufacturing Engineer - Instrumentation and Control Engineering

WD is building the infrastructure behind the AI-driven data economy.

As AI scales, so does data. Every interaction, every model, every system generates data that must be stored, managed, and made accessible over time. That’s where we come in.

We combine deep engineering expertise with global-scale manufacturing to deliver the storage systems that make AI possible, powering hyperscale data centers, cloud platforms, and enterprise infrastructure worldwide.

This isn’t theoretical work. It’s real systems, at real scale, people solving some of the hardest challenges in technology today.

We’re looking for people who want to build, solve, and operate at that level.

Join us and let’s shape the future of data.

ESSENTIAL DUTIES AND RESPONSIBILITIES

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.

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.

Requirements

Master's Degree in Instrumentation & Control Engineering, Electrical Engineering, Mechatronics, or a closely related engineering discipline.; 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.

Nice to have

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).