Technologist, Product Design Engineering

Responsible for manufacturing data analytics for HDD products and critical components. This role applies data-driven methodologies to continuously enhance product quality, yield, reliability and manufacturing efficiency.

Responsibilities

• Analyze manufacturing data generated throughout HDD and key components production to identify opportunities for improving yield, cost, quality, and reliability.
• Perform root cause analysis on yield, performance or quality issues; collaborate cross-functionally with design, process & manufacturing teams to implement effective engineering & operational solutions.
• Provide characterization and analytical support for design and process change qualifications; proactively identify potential issues, risks, concerns prior to volume production ramp-up.
• Contribute to the development of standardized manufacturing data analytics methodologies and workflows, enabling scalable and organization-wide adoption of data-driven practices.

 

• Master’s degree or above in Mechanical Engineering, Electrical Engineering, Materials Science, Physics, Automation, or related disciplines (exceptional candidates with a Bachelor’s degree and strong project experience will also be considered).
• Abundants of experience in HDD or semiconductor industry. Solid understanding of magnetic recording principles, head/media design & related manufacturing processes is highly preferred.
• Proficient in data analysis tools & methodologies, hands-on experience with JMP, SAS, Python, and Spotfire is a plus.
• Strong communication and teamwork skills, with English proficiency sufficient for professional working environments.

Preferred

• Experience with hard disk drive integration, head device process, head media characterization

Skills

• strong understanding of magnetic recording physics, magnetic reader/writer/NFT fundamentals, and media technology
• Experience with head/media manufacturing processes (wafer, slider, HGA, media)
• Proficiency in data analysis tools (e.g., JMP, Python) and statistical methods
• Demonstrated ability to lead cross‑functional engineering efforts
• Strong communication, documentation, and configuration‑management skills
• Experience in HDD development, NPI, or component engineering preferred

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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.

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