Summer 2026 Intern - Data & AI Engineering (Head Development)

Western Digital•San Jose, CA

1d•Onsite

About The Position

We are seeking a highly motivated Data & AI Engineering Intern to join our Head Development (HD) organization. This role focuses on building next-generation AI/ML capabilities that accelerate design learning, reduce technical risk, and extract insights from complex, multi-modal engineering data. You will work at the intersection of: Machine learning (image analytics, anomaly detection, classification) Engineering data systems (parametrics, test data, process metadata) AI agents and decision-support tools This is a hands-on role where you will design and implement intelligent systems that connect image-based defect signals with electrical and design data to generate actionable engineering insights.

Requirements

Strong Python programming skills, with experience building data-driven tools, models, or applications
Understanding of machine learning fundamentals, such as classification, clustering, model training, and evaluation
Experience working with data analysis or data pipelines using tools such as Pandas, NumPy, Dataiku, or similar technologies
Familiarity with software engineering best practices, including writing maintainable code, debugging, and version control
Experience or coursework related to computer vision, such as convolutional neural networks (CNNs) or image embeddings
Exposure to anomaly detection, unsupervised learning, or classification models, including defect detection or quality analysis
Experience working with multiple data sources or multi-modal datasets
Experience building AI agents or applications using large language models (LLMs)
Understanding of experimental design, model evaluation, or statistical analysis
Interest in working with manufacturing, semiconductor, or hardware-related datasets
Curiosity and strong problem-solving skills, especially in research-oriented environments where experimentation and iteration are part of the process

Responsibilities

Develop and deploy ML-driven pipelines that integrate: Image-based defect detection/classification outputs
Electrical test and parametric data
Design and process metadata
Build intelligent agents or analytical tools that:
Identify relationships between defects and performance
Detect emerging failure modes using multi-modal data
Generate hypotheses to accelerate root cause analysis
Design data models and workflows to support scalable analytics across experiments and design iterations
Collaborate with engineers and data scientists to translate domain problems into ML/AI solutions
Present findings, insights, and prototypes to technical stakeholders

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