Intern - AI Engineer (Studying Bachelor Degree)

Company Description

At WD, our vision is to power global innovation and push the boundaries of technology to make what you thought was once impossible, possible.

At our core, WD is a company of problem solvers. People achieve extraordinary things given the right technology. For decades, we’ve been doing just that—our technology helped people put a man on the moon and capture the first-ever picture of a black hole.

We offer an expansive portfolio of technologies, HDDs, and platforms for business, creative professionals, and consumers alike under our Western Digital®, WD®, and WD_BLACK™.

We are a key partner to some of the largest and highest-growth organizations in the world. From enabling systems to make cities safer and more connected, to powering the data centers behind many of the world’s biggest companies and hyperscale cloud providers, to meeting the massive and ever-growing data storage needs of the AI era, WD is fueling a brighter, smarter future.

Today’s exceptional challenges require your unique skills. Together, we can build the future of data storage.

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.

Additional Information

#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.