As an R&D Engineer, you will work on cutting-edge AI and machine learning solutions, with a focus on Large Language Models (LLMs), to enhance semiconductor testing and electrotechnical systems. You will design, implement, and optimize end-to-end AI pipelines, integrating LLM-driven tools into testing workflows and contributing to the development of advanced semiconductor test automation.
Key Responsibilities:
Design, implement, test, and continuously optimize end-to-end RAG (retrieval-augmented generation) pipelines, including data parsing, ingestion, prompt engineering, and chunking strategies
Integrate AI components with existing systems, requiring experience in Java and familiarity with Eclipse
Curate and develop high-quality datasets, including synthetic data generation for robust training and evaluation of LLMs
Preprocess datasets, fine-tune open-source LLMs (e.g., LLaMA, Mistral), and integrate RAG systems into semiconductor testing pipelines
Rigorously evaluate LLM applications on correctness, latency, and hallucination metrics
Assist in deploying LLM-based applications, analyze user feedback, and contribute to iterative improvements
Write clean, maintainable, and
