Intern - AI Information Technology (Studying Master's and Bachelor Degree)

ESSENTIAL DUTIES AND RESPONSIBILITIES: Analysis, conceptualization, and design of AI driven systems targeting manufacturing processes and application error logs. Write the calculations and base codes based on the design and data validations Prepare documentations and progress reporting and/or dashboards, technical summaries and presentations of finding Provide regular update to the hiring manager on activities or deliverables. Assist in the analysis of engineering and manufacturing data to identify improvement opportunities Support process monitoring and optimization Work with engineers on tests and technical evaluations Participate in problem-solving and root cause analysis activities Collaborate with cross-functional teams on assigned projects This position is part of our Early Career program at WD. Our Early Career program is designed to support individuals beginning their professional career by providing the foundational training through a structured onboarding, mentorship, and development curriculum. REQUIRED: Currently pursuing a Master's Degree or A Bachelor's Degree in AI and Automation, Computer Engineering, Computer Science, or equivalent Demonstrable proficiency in utilizing Microsoft Visual Studio C#/C++ and other languages such as Python or Java. Understanding of software development lifecycle (SDLC) and version control systems (e.g., Git). Ability to work with large datasets and technical information - Detail-oriented with a structured and organized approach to tasks Able to work both independently and collaboratively in a team environment. PREFERRED: Basic knowledge of statistical process control, manufacturing processes, and the use of AI in manufacturing. Experience with web technologies (HTML, CSS, JavaScript) or API development. A comprehensive understanding of industry-standard best practices in business analysis and related fields is highly desirable. Hands-on experience with real engineering and data analysis projects. SKILLS: Strong analytical thinking, attention to detail, and ability to work collaboratively in a team environment. Exceptional ability to produce clear, concise, and professional documentation, including requirements documents, design specifications, test plans, and end-user manuals. Strong communication skills in English, with the capacity to effectively present requirements, designs, test plans, and project status updates to both peers and management. Strong in Full Stack development, React, Tensorflow, Machine Learning, C++/C#, Python or R, Agentic AI, MQ technologies, MSSQL / PLSQL, PostgreSQL. Familiarity with Artificial Intelligence concepts and emerging technologies is considered a significant asset for this role. Strong analytical and problem-solving skills Strong written and verbal communication skills in English #LI-SB1 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 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. 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 . 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.