Summer Intern, Applications Engineering at Western Digital Fremont, CA
Listed on 2026-05-31
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Software Development
Software Engineer, Machine Learning/ ML Engineer, Data Scientist
Company Description
At Western Digital, our vision is to power global innovation and push the boundaries of technology to make what you thought was once impossible, possible. At our core, Western Digital is a company of problem solvers—people achieve extraordinary things given the right technology. For decades, we have helped people put a man on the moon and capture the first‑ever picture of a black hole.
We offer an expansive portfolio of technologies, HDDs, and platforms for business, creative professionals, and consumers alike under our Western Digital®, WD®, , and San Disk® Professional brands.
Western Digital is seeking an intern to join the Advanced Process Control team in Fremont/San José, CA. As an Applications Engineering intern, you will help analyze and optimize production process recipes using AI‑driven techniques, specifically large language models (LLMs), to improve yield, reduce variability, and enhance process control systems. You will work closely with experienced engineers, gaining hands‑on experience and exposure to complex wafer manufacturing processes.
Essential Duties and Responsibilities- Develop and deploy 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 data, including input and output parameters.
- Leverage LLMs to enhance predictive models for process optimization, anomaly detection, and automated decision making in a wafer manufacturing fab.
- Integrate LLM‑based systems with the existing advanced process control framework, supporting real‑time decision making for recipe optimization.
- Present findings, reports, and recommendations on model performance and process improvements.
- Current students seeking a bachelor's degree in data science, applied mathematics, computer science, computer engineering, software engineering, or a related field with a graduation date between December 2025 and June 2026.
- Right to work in the U.S. without requiring Western Digital to sponsor an immigration case.
- Candidates who will not require relocation to Fremont or San José, CA will be preferred.
- Strong knowledge of large language models (LLMs), natural language processing (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 for applying AI to real‑world challenges in process optimization.
- Strong grasp of data structures and algorithms essential for solving complex problems and optimizing models.
- Proficiency in at least one programming language such as Python, Java, C#, or C++ with hands‑on experience using machine learning frameworks.
- Familiarity with AI model training, validation and performance metrics.
- Experience with data queries, data processing, and database management systems such as Oracle, MSSQL, and MySQL.
- 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 for collaborating with team members, stakeholders, and presenting technical results and concepts to diverse audiences.
Western Digital is committed to providing equal opportunities to all applicants and employees and will not discriminate against any applicant or employee based on race, color, ancestry, religion, sex, gender, age, national origin, sexual orientation, medical condition, marital status, disability, mental disability, or other legally protected characteristics. We also prohibit harassment of any individual on any of these characteristics. Our non‑discrimination policy applies to all aspects of employment.
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