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Engineer, Manufacturing Engineering

Engineer, Manufacturing Engineering

Western Digital
Fresher
Not Disclosed
Early Applicant
  • Posted 14 days ago
  • Be among the first 10 applicants

Job Description

Job Description

ESSENTIAL DUTIES AND RESPONSIBILITIES:

  • Design, develop, andmaintaincontrol systems and automation solutions for manufacturing processes.
  • Troubleshoot PLC, HMI, SCADA, sensors, drives, and instrumentation issues.
  • Optimizemachine 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 communicationand 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.
  • Basicproficiencyin data analysis tools (Python, MATLAB, or equivalent) is preferred.
  • Understanding of statistical process control (SPC) and Six Sigma methodologies is an advantage.

Additional Information

WD thrives on the power and potential of diversity. As a global company, we believe the most effective way to embrace the diversity of our customers and communities is to mirror it from within. We believe the fusion of various perspectives results in the best outcomes for our employees, our company, our customers, and the world around us. We are committed to an inclusive environment where every individual can thrive through a sense of belonging, respect and contribution.

WD is committed to offering opportunities to applicants with disabilities and ensuring all candidates can successfully navigate our careers website and our hiring process. Please contact us atto advise us of your accommodation request. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

Notice To Candidates: Please be aware that WD and its subsidiaries will never request payment as a condition for applying for a position or receiving an offer of employment. Should you encounter any such requests, please report it immediately toor email .

More Info

Job Type:
Function:
Employment Type:

Key Skills

Calibration standards

Control logic documentation

Metrology practices

Data acquisition systems

Six Sigma methodologies

Electrical drawings

About Company

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.

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