Fall 2026 Intern - Failure Analysis Automation Engineering

Fall 2026 Intern - Failure Analysis Automation Engineering Intern Job Type (exemption status): Non-Exempt position - Please see related compensation & benefits details below Salary Range: 26.25-35.00 Business Function: Engineering Support Work Location: San Jose Great Oaks Headquarters--LOC_WDT_USCA23 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.

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. ESSENTIAL DUTIES AND 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.

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

WD is committed to providing equal opportunities to all applicants and employees and will not discriminate against any applicant or employee based on their race, color, ancestry, religion (including religious dress and grooming standards), sex (including pregnancy, childbirth or related medical conditions, breastfeeding or related medical conditions), gender (including a person’s gender identity, gender expression, and gender-related appearance and behavior, whether or not stereotypically associated with the person’s assigned sex at birth), age, national origin, sexual orientation, medical condition, marital status (including domestic partnership status), physical disability, mental disability, medical condition, genetic information, protected medical and family care leave, Civil Air Patrol status, military and veteran status, or other legally protected characteristics. We also prohibit harassment of any individual on any of the characteristics listed above. Our non-discrimination policy applies to all aspects of employment. We comply with the laws and regulations set forth in the " Know Your Rights: Workplace Discrimination is Illegal ” poster. Our pay transparency policy is available HERE . WD thrives on the power and potential of diversity. As a global company, we believe the