AI Tooling Full-Stack Engineer

Western Digital Corp.; San Jose (CA); On-site; USD 140,000 - 190,000; Full time

Job summary

Western Digital Corp. in California is seeking a software engineer to build AI-powered tools used by WD engineers, owning full-stack features end-to-end—from UI to AI/ML components—and shaping how next-gen storage devices are designed, tested, and manufactured.

You will design AI pipelines, integrate LLMs, develop full-stack components, monitor telemetry, and collaborate with HDD R&D. A BS in CS, Python, REST, SQL, and AI/ML knowledge are required.

Qualifications

• Currently pursuing a BS degree in Computer Science or a related field.
• Right to work in the US without sponsorship is required.
• Proficiency in Python for full-stack development.
• Experience with REST API design and development.
• Familiarity with SQL/MySQL and data pipeline development.
• Understanding of AI/ML concepts — LLMs, embeddings, or RAG architectures.
• Experience with version control and CI/CD workflows (Git/Bitbucket).
• Ability to work across the full stack: UI, API layer, database, and AI/ML components.

Responsibilities

• Design, develop, test, and ship software tools — web, desktop, and CLI — in a large-scale enterprise engineering environment.
• Own features from requirements → code → deployment.
• Evaluate and integrate LLMs and embedding models into existing applications.
• Build and expand automation and telemetry monitoring platforms.
• Write clean, well-tested, maintainable Python code aligned to team standards.
• Collaborate with HDD R&D and product engineering stakeholders to scope and ship solutions that reduce manual effort.
• Stay current on open-source AI tooling and emerging frameworks.

Skills

Python

REST API

SQL/MySQL

Full-stack

CI/CD

Git/Bitbucket

UI/Frontend

AI/ML concepts

Education

BS in Computer Science or related field

Tools

Git

Bitbucket

JIRA

Job description

Western Digital Corp. in California is seeking a software engineer to build AI-powered tools used by WD engineers, owning full-stack features end-to-end—from UI to AI/ML components—and shaping how next-gen storage devices are designed, tested, and manufactured.

You will design AI pipelines, integrate LLMs, develop full-stack components, monitor telemetry, and collaborate with HDD R&D. A BS in CS, Python, REST, SQL, and AI/ML knowledge are required.