R&D Engineer – AI Integration (m/f/d)

As an R&D Engineer for AI Integration at Advantest in Munich, you will design, implement, test, and continuously optimize end-to-end RAG (retrieval-augmented generation) pipelines, including data parsing, ingestion, prompt engineering, and chunking strategies. You will integrate LLMs with Advantest's existing systems and test workflows, integrate RAG systems into semiconductor testing pipelines, and apply AI to semiconductor testing data analysis to enhance Advantest's test systems.

Responsibilities

• Design, implement, test, and continuously optimize end-to-end RAG pipelines (data parsing, ingestion, prompt engineering, chunking strategies)
• Integrate AI/LLM components with existing systems and semiconductor testing workflows
• Curate and develop high-quality datasets, including synthetic data generation
• Fine-tune open-source LLMs (e.g. LLaMA, Mistral) using techniques such as LoRA and QLoRA
• Build and maintain MLOps workflows
• Apply AI to semiconductor testing data analysis to enhance Advantest's test systems (V93000 / SmarTest 8)

Requirements

• 2-4 years of hands-on experience in machine learning, including coursework or practical work with NLP or LLMs
• University degree (Master's preferred; Bachelor's with 5+ years of experience also accepted)
• Python (Pandas, NumPy, PyTorch), Java, C++
• Linux / bash scripting
• Git / DVC, Docker
• Cloud platforms (AWS / Azure)
• Jupyter notebooks, VS Code, Eclipse plugin development
• Familiarity with transformer architectures, RAG, and LLM fine-tuning (LoRA, QLoRA)
• Experience with Advantest V93000 test systems is a plus

Location: Munich, Germany (onsite). Full-time.

Contact: Alena Nicolai | alena.nicolai@advantest.com | +49 (0) 7031.2048.380