Requirements
- 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.
Work Arrangement
On-site
Team
Team size: close-knit. Structure: fast-paced, highly collaborative
Additional Information
- 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.
