Intern - AI Engineer

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:

• 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.

Qualifications

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.