Western Digital
Data Storage
SoftwareEngineer(Apps)
Neural analysis suggests this role is
optimal for entry candidates.
“Software Engineer (Apps) at Western Digital. Skills: Machine Learning, GenAI, LLMs, Software tools development, Data analysis, Data visualization. Build and maintain custom internal software tools used to process, analyze, and visualize HDD development and production data.. Develop ETL systems, web-based dashboards, ML models, and analytics pipelines that help product engineers innovate.”
What You'll Achieve.
Make what you thought was once impossible, possible.; Help engineers make smarter, faster, data-driven decisions that shape the future of storage technology.
Industry & Context.
Problem solvers; Solving real problems, not theoretical ones; Turning massive amounts of machine-generated data into insights
Work on-site in San Jose, CA
What They're Looking For.
Must Have
Currently enrolled or recently graduated with an MS or PhD grad in Computer Science, Computer Engineering, Data Science, or a related field., Right to work in the US without requiring Western Digital to commence or sponsor an immigration case in order to employ you at any point in the future., Experience with Python (Jupyter), C/C++, and at least one ML or AI framework (e. g. , PyTorch, TensorFlow)., Completed coursework or hands-on projects involving GenAI, LLMs, or machine learning., Comfort working with both relational and non-relational databases.
Nice to Have
Kafka, Kubernetes, Jenkins, RESTful APIs, JavaScript, Node. js
What You'll Do.
Build and maintain custom internal software tools used to process
and visualize HDD development and production data.
and analytics pipelines that help product engineers innovate.
Contribute to GenAI/LLM use cases—helping select and implement base models and embedding strategies for real-world deployment.
Design prompt and token-based GenAI solutions that support classification
and trend visualization.
Work hands-on with modern frameworks (PyTorch
and databases (MongoDB
Join in on architecture discussions
and collaborative problem solving.
Create internal guides and documentation that make your tools accessible to other engineers.
How You'll Work.
Team & Collaboration
Work on-site in a close-knit, fast-paced, highly collaborative team; Join in on architecture discussions, code reviews, and collaborative problem solving.
Full Job Description
At WD, 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, WD is a company of problem solvers. People achieve extraordinary things given the right technology. For decades, we’ve been doing just that—our technology 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 WD_BLACK™. We are a key partner to some of the largest and highest-growth organizations in the world. From enabling systems to make cities safer and more connected, to powering the data centers behind many of the world’s biggest companies and hyperscale cloud providers, to meeting the massive and ever-growing data storage needs of the AI era, WD is fueling a brighter, smarter future. Today’s exceptional challenges require your unique skills. Together, we can build the future of data storage. If you’re looking for a role where your code doesn’t just sit in a Git repo—this is it. Our team builds internal tools that power the development of world-class hard disk drives. You won’t be designing the hardware itself—but you will be designing the software tools that help engineers make smarter, faster, data-driven decisions that shape the future of storage technology. You’ll be solving real problems, not theoretical ones, by turning massive amounts of machine-generated data into insights using Machine Learning, GenAI, LLMs, and more. Essential Duties & Responsibilities: * Build and maintain custom internal software tools used to process, analyze, and visualize HDD development and production data. * Develop ETL systems, web-based dashboards, ML models, and analytics pipelines that help product engineers innovate. * Contribute to GenAI/LLM use cases—helping select and implement base models and embedding strategies for real-w
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