Job Description

New College Grad Software Engineer, Software Engineering Development (Apps)

If you're looking for a role where your code doesn't just sit in a Git repothis is it. Our team builds internal tools that power the development of world-class hard disk drives. You won't be designing the hardware itselfbut 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.

What you'll do (and grow doing):

• 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 caseshelping select and implement base models and embedding strategies for real-world deployment.
• Design prompt and token-based GenAI solutions that support classification, pattern recognition, and trend visualization.
• Work hands-on with modern frameworks (PyTorch, TensorFlow), tools (Python, C/C++, Node.js, Kafka), and databases (MongoDB, MySQL, Elasticsearch).
• Join in on architecture discussions, code reviews, and collaborative problem solving.
• Create internal guides and documentation that make your tools accessible to other engineers.
• Work on-site in a close-knit, fast-paced, highly collaborative team that values ownership, curiosity, and continuous learning.

A recent MS or PhD grad in Computer Science, Computer Engineering, Data Science, or a related field. (Dec 2024 - Dec 2025 Graduates only)

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 required.

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.

Bonus if you've dabbled in: Kafka, Kubernetes, Jenkins, RESTful APIs, JavaScript, Node.js.

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