Software Engineer (Apps)

WD is building the infrastructure behind the AI-driven data economy. As AI scales, so does data. Every interaction, every model, every system generates data that must be stored, managed, and made accessible over time. That’s where we come in. We combine deep engineering expertise with global-scale manufacturing to deliver the storage systems that make AI possible, powering hyperscale data centers, cloud platforms, and enterprise infrastructure worldwide. This isn’t theoretical work. It’s real systems, at real scale, people solving some of the hardest challenges in technology today. We’re looking for people who want to build, solve, and operate at that level. Join us and let’s shape the future of data. Build the AI-powered tools that WD's engineers actually use every day. You'll own full-stack features end-to-end — from UI to database to AI/ML components — and your work will directly shape how next-gen storage devices are designed, tested, and manufactured. 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 (eg 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 Essential Duties & 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 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  This role is part of WD's early career development program. WD's early career development program is ideal for individuals at the early stages of their professional career.  Participants receive foundational training through structured onboarding, mentorship, and a curated development curriculum. The responsibilities of this role are typically aligned with candidates who have approximately 0–2+ years of relevant professional experience, though candidates of all experience levels are encouraged to apply. 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 in order to employ you at any point in the future is required. 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  WD is committed to providing equal opportunities to all applicants and employees and will not discriminate against any applicant or employee based on their race, color, ancestry, religion (including religious dress and grooming standards), sex (including pregnancy, childbirth or related medical conditions, breastfeeding or related medical conditions), gender (including a person’s gender identity, gender expression, and gender-related appearance and behavior, whether or not stereotypically associated with the person’s assigned sex at birth), age, national origin, sexual orientation, medical condition, marital status (including domestic partnership status), physical disability, mental disability, medical condition, genetic information, protected medical and family care leave, Civil Air Patrol status, military and veteran status, or other legally protected characteristics. We also prohibit harassment of any individual on any of the characteristics listed above. Our non-discrimination policy applies to all aspects of employment. We comply with the laws and regulations set forth in the " Know Your Rights: Workplace Discrimination is Illegal ” poster. Our pay transparency policy is available here . WD thrives on the power and potential of diversity. As a global company, we believe the most effective way to embrace the diversity of our customers and communities is to mirror it from within. We believe the fusion of various perspectives results in the best outcomes for our employees, our company, our customers, and the world around us. We are committed to an inclusive environment where every individual can thrive through a sense of belonging, respect and contribution. WD is committed to offering opportunities to applicants with disab