Summer 2025 Intern

Job Description

Western Digital is seeking an intern to join the Advanced Process Control team in Fremont/San Jose, CA. As an Applications Engineering intern at Western Digital, you will help analyze and optimize production process recipes using AI-driven techniques, specifically LLMs, to improve yield, reduce variability and enhance process control systems. You will work closely with our team of experienced engineers, gain hands-on experience and exposure to complex wafer manufacturing processes.

ESSENTIAL DUTIES AND RESPONSIBILITIES 

• Developing and deploying LLM-based algorithms to analyze wafer process manufacturing recipes and identify key process parameters for Advanced Process Control and Anomaly Detection.
• Collaborate with process engineers and data scientists to extract insights from recipe contents and recipe data, including input and output parameters.
• Leverage LLMs to enhance predictive models for process optimization, anomaly detection and automated decision making in wafer manufacturing fab.
• Work on integrating LLM-based systems with existing Advanced Process Control framework, supporting real-time decision making for recipe optimization.
• Present findings, reports and recommendations on model performance and process improvements.

Qualifications

REQUIRED

• Current students seeking a bachelor’s degree in data science, applied mathematics, computer science, computer engineering, software engineering, or related field with a graduation date between December 2025 and June 2026.
• Right to work in the US without requiring Western Digital to commence or sponsor an immigration case to employ you at any point in the future required. (for example, H-1B or other employment- based immigration case)
• Candidates who will not require relocation to Fremont or San Jose, CA will be preferred.

TECHNICAL

• Strong knowledge of Large Language Models (LLM), NLP, and machine learning techniques with a focus on practical applications.
• Ability to approach problems logically and solve complex problems by uncovering actionable insights.
• Critical thinking and analytical skills with passion in applying AI to real-world challenges in process optimization.
• A strong grasp of data structures and algorithms is essential for solving complex problems and optimizing models.
• Well-versed with one or more languages like Python, Java, C#, C++ with hands-on experience using machine learning frameworks.
• Familiarity with AI model training, validation and performance metrics.
• Familiarity with data queries, data processing and database management systems like Oracle,
• MSSQL, MySQL.

SKILLS

• Experience working on group projects or in a team environment.
• Ability to collaborate with team members, listen to feedback, and contribute positively to
• discussions.
• Eagerness to learn new technologies and programming languages as per project requirements.
• Ability to adapt to different tasks and projects as the team’s needs evolve.
• Good communication skills are important for collaborating with team members, stakeholders, and
• presenting technical results and concepts to diverse audiences.