Intern – Computer Vision, Gen-AI and Software Development

Western Digital’s Big Data Technology & Industrial IoT group in Singapore is looking for motivated Masters-level interns to join our R&D and manufacturing analytics team. The internship focuses on applying Computer Vision, Generative AI (Gen-AI), and full-stack software engineering to real-world problems across HDD manufacturing, automation, and digital twin applications.

Key Responsibilities

• Develop and deploy Computer Vision models for defect detection, process optimization, and visual analytics.
• Work on Generative AI applications such as intelligent document retrieval, code generation, and process simulation.
• Build and integrate end-to-end AI pipelines involving data collection, model training, inference, and visualization.
• Collaborate with software engineers to create full-stack applications (backend APIs, front-end dashboards, and edge deployment).
• Contribute to ongoing initiatives on Digital Twin and Orchestrated AI frameworks across WD factories.
• Document development processes and present results to global teams.

Preferred Technical Skills

• Proficiency in Python, C++ or JavaScript (React, Node.js).
• Experience with AI/ML frameworks such as PyTorch or TensorFlow.
• Knowledge of Computer Vision (OpenCV, YOLO, Detectron2, segmentation networks, etc.).
• Experience with Generative AI (LLMs, LangChain, RAG, vector databases).
• Familiarity with containerization (Docker), APIs (FastAPI/Flask), and cloud platforms (AWS/GCP/Azure).
• Good understanding of software version control (Git) and CI/CD practices.

Qualifications

• Currently enrolled in a Master’s program in Computer Science, Electrical/Computer Engineering, or related fields.
• Strong foundation in software engineering, data structures, and applied machine learning.
• Prior research or project experience in Computer Vision or AI is preferred.
• Excellent analytical, problem-solving, and communication skills.

#LI-AS

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.

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