Senior Engineer, Manufacturing Equipment 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:

• Lead the design, development, and deployment of all backend systems supporting HGA backend transformation initiatives, focusing on digitalization, AI integration, and automation.
• Develop and optimize image processing and machine vision algorithms using platforms such as VIDI, VPRO, COGNEX or equivalent tools to improve inspection accuracy, defect detection, and production efficiency.
• Integrate AI/ML solutions into manufacturing processes, including model development, training, validation, and continuous performance improvement.
• Design and maintain scalable backend architectures to support real-time data processing, system interoperability, and high-throughput manufacturing environments.
• Debug and troubleshoot hardware-software interfaces, including cameras, sensors, PLCs, and industrial communication protocols, ensuring stable and reliable system performance.
• Collaborate with cross-functional teams (process engineering, equipment engineering, IT, and operations) to implement end-to-end automation solutions.
• Utilize advanced data analytics techniques to analyze large datasets, identify trends, and support data-driven decision-making.
• Maintain comprehensive technical documentation for system architecture, algorithms, and integration processes.

REQUIRED:

• Bachelor’s degree or higher in Software Engineering, Computer Science/Engineering, or a related field
• 2+ Years experience in Software development or related field
• Knowledge on software development languages (Python/R coding, Java, C++, C#), database management (SQL, NoSQL), data analytics tools, Spotfire and data visualization platforms

PREFERRED:

• Eager on learning and self-development
• Experience in electronics or HDD industry
• Experienced in high-volume manufacturing

SKILLS:

• Project management abilities
• Problem-solving
• Cross-functional collaboration
• Excellent communication and interpersonal skills, with the ability to collaborate effectively across diverse teams

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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].