Senior Engineer Manufacturing Engineering (Optics) - Master’s Degree in Engineering | 0–2 Years of Experience

Company Description

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.

Job Description

JOB SUMMARY

Senior Engineer Manufacturing Engineering  is responsible for process development, optimization, qualification, and continuous improvement of substrate manufacturing processes to ensure stable, reliable, and high-quality output. Chemical, mechanical, and optical process parameters are monitored, analysed and optimized to achieve consistent substrate quality and performance. Process documentation, safety standards, and technician training are developed, while process projects, substrate characterization, and manufacturing capability development are supported.

ESSENTIAL DUTIES AND RESPONSIBILITIES:

• Optical Precision Tool Experience –experience in handling optical-based precision manufacturing tools and equipment (laser systems, alignment systems, measurement tools) 

• Glass Processing & Material Science – experience in glass/ceramic properties, handling, and quality parameters specific to optical/substrate glass 

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

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

Qualifications

REQUIRED:

• Master’s degree in Mechanical engineering, Electrical Engineering, Mechatronics Engineering, Materials Engineering, Automation Engineering, Biomedical Engineering ,Aerospace Engineering or a related engineering field.
• Fresh Master’s graduates in relevant engineering disciplines 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 

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 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].