Western Digitalposted 2 days ago
Full-time • Entry Level
San Jose, CA

About the position

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.

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-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.

Requirements

  • A recent MS or PhD grad in Computer Science, Computer Engineering, Data Science, or a related field. (Dec 2024 - May 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.

Nice-to-haves

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

Benefits

  • Paid vacation time
  • Paid sick leave
  • Medical/dental/vision insurance
  • Life, accident and disability insurance
  • Tax-advantaged flexible spending and health savings accounts
  • Employee assistance program
  • Other voluntary benefit programs such as supplemental life and AD&D, legal plan, pet insurance, critical illness, accident and hospital indemnity
  • Tuition reimbursement
  • Transit
  • The Applause Program
  • Employee stock purchase plan
  • Western Digital Savings 401(k) Plan
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