We are seeking a detail-oriented, analytical, and enthusiastic IT Intern for Wafer systems Automation Eco system to join our dynamic team in San Jose office, United States. This internship opportunity offers hands-on experience in supporting our efforts to transform Wafer Mfg. Automation Eco system from legacy to modern platforms and to automate IT processes and Mfg. Tools Automation Platform using the latest technologies including AI/ML tools & Agentic technologies. As a member of our IT team, you will collaborate with our managed service providers and internal stakeholders to identify automation opportunities, help design, develop and test IT solutions, and promote self-service capabilities to end users. This is a hands-on role ideal for someone eager to apply technical and communication skills to real-world challenges, drive innovation, and make a tangible impact within a global organization.

• Assist in identifying and analyzing our Mfg. IT application issues and help to fix or improve them.

• Collaborate with cross-functional teams to gather requirements for our ongoing Wafer Mfg. Automation Platform IT projects.

• Contribute to the design and implementation of automated solution using various tools and technologies.
• Support development and delivery of communications and training materials to engage end users and increase adoption of new self-service options.
• Support the team in monitoring and optimizing existing automated processes
• Work with IT teams and managed service providers to identify and document high-priority automation opportunities.

• Stay updated on emerging automation and AI/Agent driven workflows, best practices to inform our Wafer Automation platform transformation roadmap.

• Drive personal excellence - understanding self, professional presence & accountability, personal well-being, time management, change agility
• Invest in your career - learning mindset, performance goals and feedback, personal career development, seeking insights, expressing gratitude
• Communicate & collaborate - relationships & connectedness, team player, sharing your voice, global awareness, effective presentations

• Build an innovative mindset - business essentials, data acumen, digital mindset, creative thinking, problem solving

Qualifications

• Currently pursuing a bachelor's or a master's degree in Computer Science, Information Technology, or a related field
• Basic programming skills, with knowledge of languages such as .Net/C#, Java, Angular, React, Python or JavaScript
• Basic understanding of process automation, scripting, or workflow tools.
• Knowledge of IT infrastructure and cloud computing platforms
• Strong analytical, problem-solving skills
• Excellent attention to detail and organizational abilities
• Effective communication skills and ability to work in a team environment
• Eagerness to learn and adapt to new technologies (including emerging AI/ML tools) and methodologies quickly
• No prior work experience required; however, relevant academic projects or personal initiatives are a plus
• Excellent verbal, written and presentation communications skills, organizational capabilities, and collaborative and interpersonal skills
• Ability to multi-task and demonstrate excellent problem solving

Additional information

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 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.

WD 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 jobs.accommodations@wdc.com 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 9/25/2026, 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.

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.