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:

• Support development of AI-enabled tools to improve efficiency of EC qualification planning, tracking, and reporting.
• Apply LLM APIs and automation techniques to assist in:
  • EC plan / qualification matrix generation
  • Engineering data consolidation and validation
  • Drive status monitoring and result updates
• Integrate AI capabilities into existing engineering workflows (e.g., Excel, scripts, dashboards) to reduce manual work.
• Develop scripts or tools to automate repetitive tasks such as:
  • Status tracking
  • Data aggregation
  • Routine checks and updates
• Apply AI tools to analyze engineering data and support decision making, including:
  • Identifying trends, anomalies, and risk signals
  • Highlighting key insights from qualification data
  • Supporting engineering teams with data-driven recommendations
• Work with engineering teams (Head/Media, HDD, component teams) to understand workflow and translate into automation solutions.
• Enhance engineering decision-making by combining structured data with AI-generated insights to improve visibility of qualification progress and risk.

REQUIRED:

• Currently pursuing Bachelor’s or Master’s degree in Computer Engineering, Computer Science, Data Science, or related field.
• Basic programming skills in Python or equivalent scripting language.
• Familiarity with data handling and processing (Excel, CSV, structured data).
• Basic understanding of AI tools (e.g., ChatGPT, Copilot, or similar).
• Strong logical thinking and problem-solving skills.
• Ability to work with real engineering data and learn quickly in a fast-paced environment.
• Good communication skills and ability to work effectively in cross-functional teams.

PREFERRED:

• Experience in automation development (Python, VBA, or scripting tools).
• Familiarity with API integration, especially AI / LLM APIs.
• Experience working with Excel-based workflows and data automation.
• Knowledge of data visualization tools (Power BI, Tableau, or similar).
• Basic understanding of engineering, manufacturing, or qualification processes.
• Experience or interest in using AI tools for data analysis, insight generation, or decision support.
• Demonstrated interest in improving workflow efficiency and reducing manual tasks.

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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].