Western Digital Summer 2026 Intern - Data & AI Engineering (Head Development) \\\| SmartRecruiters Google Chrome Microsoft Edge Apple Safari Mozilla Firefox . Summer 2026 Intern - Data & AI Engineering (Head Development) Full-time Job Type (exemption status): Non-Exempt position - Please see related compensation & benefits details below Business Function: Engineering Support Work Location: San Jose Great Oaks Headquarters--LOC\\_WDT\\_USCA23 Company Description At Western Digital, our vision is to power global innovation and push the boundaries of technology to make what you thought was once impossible, possible. At our core, Western Digital is a company of problem solvers. People achieve extraordinary things given the right technology. For decades, weve been doing just thatour technology helped people put a man on the moon and capture the first-ever picture of a black hole. We offer an expansive portfolio of technologies, HDDs, and platforms for business, creative professionals, and consumers alike under our Western Digital®, WD®, and WD\\_BLACK. We are a key partner to some of the largest and highest-growth organizations in the world. From enabling systems to make cities safer and more connected, to powering the data centers behind many of the worlds biggest companies and hyperscale cloud providers, to meeting the massive and ever-growing data storage needs of the AI era, Western Digital is fueling a brighter, smarter future. Todays exceptional challenges require your unique skills. Together, we can build the future of data storage. Job Description 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 request. In 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 An employees pay position within the salary range may be based on several factors including but not limited to (1) relevant education; qualifications; certifications; and experience; (2) skills, ability, knowledge of the job; (3) performance, contribution and results; (4) geographic location; (5) shift; (6) internal and external equity; and (7) business and organizational needs. The salary range is what we believe to be the range of possible compensation for this role at the time of this posting.  We may ultimately pay more or less than the posted range and this range is only applicable for jobs to be performed in California, Colorado, New York or remote jobs that can be performed in California, Colorado and New York.  This range may be modified in the future. If your position is non-exempt, you are eligible for overtime pay pursuant to company policy and applicable laws.  You may also be eligible for shift differential pay, depending on the shift to which you are assigned. 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 WD'S Standard Terms and Conditions for Restricted Stock Unit Awards. We offer a comprehensive package of benefits including 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; and the WD Savings 401(k) Plan. Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company's sole discretion unless and until paid and may be modified at the Companys sole discretion, consistent with the law. 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 . 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Candidates should be pursuing or have recently completed a Masters degree in Computer Science or a related field. Experience with Python programming for data-driven tools, models, or applications is expected. A strong understanding of machine learning fundamentals, including classification, clustering, model training, and evaluation, is necessary. Familiarity with data analysis or data pipelines using tools like Pandas, NumPy, or Dataiku is required. Experience or coursework in computer vision, such as CNNs or image embeddings, is beneficial. Exposure to anomaly detection, unsupervised learning, or classification models is also noted.