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Software Engineer; Apps

Job in San Jose, Santa Clara County, California, 95199, USA
Listing for: WD
Full Time position
Listed on 2026-10-13
Job specializations:
  • Software Development
    AI Engineer (Applied/Software), Backend Developer, Full Stack Developer
Salary/Wage Range or Industry Benchmark: 99000 - 131000 USD Yearly USD 99000.00 131000.00 YEAR
Job Description & How to Apply Below
Position: Software Engineer (Apps)
  • Job Type (exemption status):
    Exempt position - Please see related compensation & benefits details below
  • Salary Range: 98,.00
  • Business Function:
    Software Development
Company Description

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.

Job Description

Build the AI-powered tools thatWD's engineers actually use every day.

You'llown 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

Design, develop, test, and ship software tools — web, desktop, and CLI — in a large-scale enterprise engineering environment

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.

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 in order to employ you at any point in the future is required.

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 framework sand Harnesses

Prior exposure to engineering or manufacturing software environments

Experience with Agile/Scrum development practices

Familiarity with telemetry data monitoring or failure analysis tooling

Additional Information

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…

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