Summer 2025 Intern – Applications Engineering
| Company | Western Digital |
|---|---|
| Location | Fremont, CA, USA |
| Salary | $Not Provided – $Not Provided |
| Type | Internship |
| Degrees | Bachelor’s |
| Experience Level | Internship |
Requirements
- 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.
- 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.
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.
Preferred Qualifications
-
No preferred qualifications provided.
Benefits
-
No information provided on Benefits.