Fall 2026 Intern - Failure Analysis Automation Engineering

Western Digital • San Jose, CA

7d

About The Position

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 intern to join our team and contribute to the development of failure analysis automation tools and defect detection systems. This role requires a strong foundation in machine learning, automation, and statistical process control. The ideal candidate should be proficient in ML algorithm and be pursuing a Bachelor's or Master's degree in Data Science, Computer Science, or a related field.

Requirements

• Currently pursuing a Bachelor's or Master's degree in Data Science, Computer Science, or a related field with a graduation date between December 2026 and June 2027.
• Strong proficiency in Python programming, with experience in libraries such as Scikit-learn, and TensorFlow/PyTorch for deep learning frameworks.
• Experience with data cleaning and pre-processing techniques, ML algorithms, and statistical modeling techniques.
• Strong understanding of Convolutional Neural Networks (CNNs) and clustering algorithm.
• Knowledge of statistical principles, control charting techniques, and data analysis methodologies.
• Knowledge of SQL, relational databases, cloud platforms and code version control.

Nice To Haves

• An understanding of or experience with Statistical Process Control (SPC) is preferred.

Responsibilities

• Design, develop, and deploy machine learning models and algorithms to automate real-world solutions.
• Preprocess and analyze large datasets to derive meaningful insights.
• Design, train, and optimize machine learning models and ensure scalability for production environments.
• Create clear documentation of workflows, models, and results.

Benefits

• paid vacation time
• paid sick leave
• medical/dental/vision insurance
• life, accident and disability insurance
• tax-advantaged flexible spending and health savings accounts
• employee assistance program
• other voluntary benefit programs such as supplemental life and AD&D, legal plan, pet insurance, critical illness, accident and hospital indemnity
• tuition reimbursement
• transit
• the Applause Program
• employee stock purchase plan
• the WD Savings 401(k) Plan

What This Job Offers

• Career Level: Intern