About the Role
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.
Key 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
Example Project Areas
Multi-modal defect → performance attribution models
Failure mode discovery using unsupervised learning
Design feature sensitivity analysis for defect susceptibility
AI-assisted experiment learning and DOE optimization
Knowledge capture and query systems for engineering insights
Western Digital
https://careers.smartrecruiters.com/westerndigital