Intern - Manufacturing Engineer

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. We are seeking a motivated and enthusiastic Engineering Intern to join our Polish Engineering team. This internship offers a unique opportunity to gain hands-on experience in data analytics, data science, industrial automation processes, and contribute to cutting-edge projects. ESSENTIAL DUTIES AND RESPONSIBILITIES: Assist in developing and implementing automation solutions for manufacturing processes Collaborate on the programming and testing of automated systems Support data collection and analysis for process improvement initiatives Participate in the troubleshooting process issues Contribute to the documentation of automated processes and procedures Support the team in research on emerging automation or data science technologies 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 foundational training through a structured onboarding, mentorship, and development curriculum. REQUIRED: Currently pursuing a Bachelor's degree in Data Science, AI, Statistics, Business Analytics, Computer Science, Software Eng, Information Systems Strong interest in industrial automation and control systems Basic understanding of programming languages (e.g., Python, SQL, Power BI/Tableau, basic ML (trend, anomaly), APIs, dashboards, low-code automation tools PREFERRED: Familiarity with data analysis tools and techniques Understanding of basic electrical and mechanical principles Experience with robotics or motion control systems SKILLS Python, SQL, Power BI/Tableau, basic ML (trend, anomaly), APIs, dashboards, low-code automation tools Excellent problem-solving skills and attention to detail Strong communication and teamwork abilities Eagerness to learn and apply new technologies LEARNING OPPORTUNITIES Gain practical experience in industrial automation Develop skills in programming and system integration Learn about Industry 4.0 concepts and applications Understand manufacturing processes and optimization techniques Enhance problem-solving and analytical skills Improve technical documentation and communication abilities 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. 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 compliance@wdc.com .