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Entry LevelFull-timePythonC++Node.jsMySQLMongoDBElasticsearchMachine LearningTensorFlowPyTorchGit
Salary Range
$51,000 - $69,000 /year
This salary is estimated based on similar roles. The actual salary may vary.
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-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.
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.
