Vacancy expired!
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.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 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.
