Intern - DOE Characterization Engineering

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

ESSENTIAL DUTIES AND RESPONSIBILITIES:

Data Analysis & Engineering

• Perform engineering data analysis to identify trends, anomalies, and process insights from large-scale manufacturing or product datasets
• Apply statistical methods (including DOE principles) to support process characterization and optimization
• Translate data findings into actionable engineering recommendations

Data Mining & Automation

• Develop scripts and tools to automate repetitive data collection, processing, and reporting workflows
• Mine structured and unstructured datasets to uncover patterns relevant to product quality and process performance
• Build and maintain dashboards for real-time process monitoring and KPI tracking

Project Execution

• Execute assigned engineering projects end-to-end: scoping, data collection, analysis, and reporting
• Collaborate cross-functionally with Process, Quality, and Product Engineering teams
• Present findings and progress updates to engineering stakeholders in a clear and concise manner

Qualifications

REQUIRED:

• Currently pursuing a Master's degree in:
• Electronics and communication engineering.
• Data Science
• Computer Science
• Computer Engineering
• Information Technology
• Basic understanding of statistical concepts (e.g., regression, hypothesis testing, ANOVA)
• Hands-on experience with data analysis or programming projects (academic or personal)

PREFERRED:

• Good English proficiency (written and verbal) for cross-functional and global team communication
• Programming skills:
• Python – data manipulation, automation, visualization (pandas, numpy, matplotlib, seaborn)
• Power BI – dashboard creation and data storytelling
• Familiarity with SQL or data query languages
• Exposure to DOE, Six Sigma, or Lean methodologies is a plus
• Experience with JMP or Minitab for statistical analysis is advantageous

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
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
.

Business Function: Engineering Support
Work Location: BangPa-In Building 1--LOC_WDT_TH1411