Senior Engineer, Manufacturing Engineering (Master’s New Graduate | 0-2 Years Experience)

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.

Senior Engineer, Manufacturing Engineering  is responsible for equipment troubleshooting, installation, qualification, modification, automation, and continuous improvement to ensure stable, reliable, and efficient equipment performance. Mechanical, electrical, software, AI, and automation solutions are designed and integrated to enhance process equipment capability and automation tooling performance. Maintenance procedures, technical documentation, safety standards, and technician training are developed, while equipment projects, equipment characterization, and manufacturing capability development are supported.

ESSENTIAL DUTIES AND RESPONSIBILITIES:

• Equipment Installation & Commissioning – Experience in managing installation, calibration, and commissioning of precision equipment or automation solutions. 

• Troubleshooting & Root Cause Analysis – systematic problem-solving for equipment failures and process deviations 

• CAD/Technical Drawing Interpretation – reading schematics, equipment blueprints, and process documentation 

• Process Engineering – ability to optimize (manufacturing) processes, identify bottlenecks, and improve yield/throughput and quality 

• Mechanical Assembly & Maintenance – mechanical aptitude for equipment modifications and improvements 

REQUIRED:

• Master’s degree in Mechanical engineering, Electrical Engineering, Mechatronics Engineering, Materials Engineering, Automation Engineering, or a related engineering field.
• Fresh graduates with relevant engineering qualifications are encouraged to apply.

PREFERRED:

• AI/ML Literacy – data-driven, with foundational knowledge of machine learning applications in handling large size of data for predictive maintenance, defect detection, and process optimization  

• Project Management : Ability to track and manage multiple projects, commissioning and improvement action plan 

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 at [email protected] to 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 to WD Ethics Helpline or email [email protected].