Software Engineer (Apps)

About the Role

WD is building the infrastructure behind the AI-driven data economy, delivering storage systems that power hyperscale data centers, cloud platforms, and enterprise infrastructure. This role involves building AI-powered tools for WD engineers, owning full-stack features from UI to database to AI/ML components, and directly shaping the design, testing, and manufacturing of next-gen storage devices. This is part of WD's early career development program, ideal for individuals at the early stages of their professional careers.

What You'll Build

• AI features and automation workflows embedded in production engineering apps
• RAG-based pipelines and LLM integrations across tools like ADAM, WDFA, LIMS, and DRVM
• New tooling for monitoring HDD product telemetry data in real time
• Reusable AI/ML patterns deployable across the full DRI Tools portfolio
• Full-stack components spanning UI, REST APIs, backend services, and data layers

Tech Stack

• Language: Python
• AI/ML: LLMs, RAG Pipeline, Llama.cpp, Hugging Face, text embeddings, AI Harness (e.g., Claude Code)
• Front End: Web Apps: React, Tailwind CC, Vite
• APIs: REST API design & development
• Data: SQL/MySQL, data pipelines, file I/O, text parsing
• Devops: Git/Bitbucket, CI/CD, JIRA, Agile/Scrum
• Platforms: Linux, Mac, Windows

Key Responsibilities

• Design, develop, test, and ship software tools — web, desktop, and CLI — in a large-scale enterprise engineering environment
• Own features from requirements to code to 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 directly 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

Qualifications

Required

• Currently pursuing a BS degree in Computer Science or a related field.
• Right to work in the US without requiring WD to commence or sponsor an immigration case.
• Proficiency in Python (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

Nice to have

• Hands-on experience with AI frameworks and Harnesses
• Prior exposure to engineering or manufacturing software environments
• Experience with Agile/Scrum development practices
• Familiarity with telemetry data monitoring or failure analysis tooling