Senior Engineer, Manufacturing 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.

The key responsibilities include ensuring yield and quality meet Media Operation goals, monitoring indicators for abnormalities, troubleshooting issues, and coordinating evaluations with minimal supervision. The role also involves managing new product ramping during NPI transfers, identifying potential issues related to yield and quality, collaborating with other teams to address interaction defects, offering guidance to new engineers, and driving specific projects aimed at improving yield, quality, and utilization.

Responsibilities

Maintain yield and quality that align with the Media Operation goal and target.; Monitor the yield and quality indicators to make sure there are no abnormalities, and do troubleshooting for any issues related to yield and quality with the help to statistics and engineering analysis inclusive of AI assistants.; Coordinate any evaluation related to yield and quality with minimum supervision.; Accountable for new product ramping during NPI transfer.; Identify potential yield and quality issues for the new product and work closely with related parties to solve the issues at the beginning stage.; Work closely with other areas to solve any interaction defect issues.; Drive or handle specific projects for yield/quality or utilization improvement.

Requirements

Master’s/Bachelor's Degree in Sciences or related field; 3-5 years of relevant working experience; Statistical Process Control (SPC); Process capability analysis (Cp/Cpk); DOE (Design of Experiments); FMEA; 8D Problem Solving; Six Sigma methodologies; Lean Manufacturing; Strong analytical and problem-solving skills, with the ability to tackle complex technical challenges; Excellent communication and collaboration skills, with the ability to work effectively in cross-functional teams

Nice to have

Strong analytical thinking; Problem-solving and decision-making; Leadership and coaching; Project management; Data-driven mindset; Communication and stakeholder management; Continuous improvement orientation