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
Qualifications :
You may be a great fit if you are currently pursuing or recently completed a Masters degree in Computer Science or a closely related field and have experience with some of the following skills or areas. You do not need to meet every qualification to apply.
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
Additional Information :
Western Digital 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 persons gender identity gender expression and gender-related appearance and behavior whether or not stereotypically associated with the persons 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.
Western Digital 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.
Western Digital 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 to advise us of your accommodation 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.
Based on our experience we anticipate that the application deadline will be 04/20/2026 although we reserve the right to close the application process sooner if we hire an applicant for this position before the application deadline. If we are not able to hire someone from this role before the application deadline we will update this posting with a new anticipated application deadline.
Compensation & Benefits Details
You will be eligible to be considered for bonuses under either WDs Short Term Incentive Plan (STI Plan) or the Sales Incentive Plan (SIP) which provides incentive awards based on Company and individual performance depending on your role and your performance. You may be eligible to participate in our annual Long-Term Incentive (LTI) program which consists of restricted stock units (RSUs) or cash equivalents pursuant to the terms of the LTI plan. Please note that not all roles are eligible to participate in the LTI program and not all roles are eligible for equity under the LTI plan. RSU awards are also available to eligible new hires subject to WDS Standard Terms and Conditions for Restricted Stock Unit Awards.
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 .
Remote Work :
No
Employment Type :
Full-time
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