Western Digital
From Western Digital's careers page
Status: listed on the employer's own careers page when we last checked (daily). Confirm on their site before applying.
We’re looking for people who want to build, solve, and operate at that level.
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.
We are looking for a motivated and detail-oriented engineer to join our team within the HAMR (Heat-Assisted Magnetic Recording) development organization. This role sits at the intersection of data analysis, cross-functional collaboration, and advanced characterization engineering for next-generation hard disk drive (HDD) recording heads.
The ideal candidate functions as a data-driven characterization engineer — someone who can analyze complex test data, identify behavioral patterns, compare results across evaluation and control groups, and translate findings into actionable insights for design and process teams.
Perform day-to-day data analysis on recording head component test results (PTM, QST, CDET, HQST, and related parametrics), comparing evaluation groups against control groups to identify behavioral patterns and anomalies Vs the design’s expectation
Serve as focal for DOE outgoing shipment reporting across component-level tests (PTM, QST, CDET, HQST, Spin Stand, REC, MLT, IDEC, MI), Identify and flag prone-to-fail samples those tested under typical and/or aggressive conditions to prevent early failures when built into HDDs
Develop and maintain data stitching/normalization workflows that bring test results onto a common baseline, enabling fair comparison across different test conditions and design variants
Evaluate the feasibility of using characterization parametric for early-stage projections and conduct regular test result summary to monitor component health trends
Provide proactive risk identification to enable informed go/no-go decisions before samples leave the site
Support root cause determination for component-level anomalies (e.g., ADC-related issues) and conduct critical ad-hoc analyses for time-sensitive decision-making on a weekly basis
Automate recurring analysis and reporting pipelines; adopt AI/ML tools to improve efficiency in pattern recognition and repetitive analysis tasks
Interface with Great Oak front-end engineers, front-end characterization engineers, wafer design teams, and wafer process teams — translating component data into insights these teams can act on
Proactively share technical knowledge within the team and across functions — serve as a resource on HAMR head technology, test methodology, and data interpretation
This position is part of our Early Career program at WD. Our Early Career program is designed to support individuals beginning their professional career by providing the foundational training through a structured onboarding, mentorship, and development curriculum.
Required Qualifications
Currently pursuing or recently completed a PhD’s degree in Electrical Engineering, Materials Science, Physics, Mechatronics, or a related field
Solid understanding of HDD component testing (heads, sliders, recording performance)
Proficiency in data analysis using JMP, Minitab, Excel, or equivalent tools
Ability to work with large datasets, identify trends, and present findings clearly to both technical and non-technical audiences
Strong communication (both Thai and English) and collaboration skills for cross-functional work across time zones
A team-player talent, have an enough flexibility and able to handle themselves under pressured conditions.
Data Analysis & Statistics
JMP, Minitab, Excel
DOE & RCA
HDD Head Characterization
Recording Performance Analysis
Data Normalization & Trend Analysis
Failure Analysis & Risk Assessment
Data Visualization & Reporting
Automation & AI/ML Tools
Python, SQL, or R
Power BI or Tableau
Pattern Recognition & Anomaly Detection
Critical Thinking & Problem Solving
Data-Driven Decision Making
#LI-BI1
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 jobs.accommodations@wdc.com 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 compliance@wdc.com.
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