Advantest – We enable tomorrowʻs technology.

• Market leader
• Hightech-High-tech semiconductors
• International impact

Your Responsibilities

Role Overview:

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 testable code following software engineering best practices
• Collaborate with cross-functional agile teams to translate customer requirements into prototype solutions, with opportunities to lead smaller sub-projects
• Analyze semiconductor testing data (parametric measurements, yield logs) using statistical methods and visualization tools
• Contribute to MLOps workflows for model training, evaluation, and deployment using Python frameworks (PyTorch, Hugging Face) and cloud platforms (AWS/Azure)
• Integrate AI components with existing systems, requiring experience in Java, C++ and familiarity with Eclipse
• Work in Linux environments and handle command-line tools, scripting, and system operations

Your Qualifications

• University degree in Data Science, Computer Science, Electrical Engineering, or a related field (Master’s preferred, Bachelor’s with 5+ years’ experience accepted)
• Experience with Advantest V93000 test systems / SmarTest 8
• Experience in Eclipse Plugin development
• 2-4 years of hands-on experience in machine learning, including coursework or practical work with NLP or LLMs
• Proficiency in Python for data analysis (Pandas, NumPy) and ML model development (scikit-learn, PyTorch)
• Experience programming in Java and C++
• Strong understanding of Linux, including command-line usage, system navigation, and scripting
• Familiarity with LLM concepts: transformer architectures, prompt engineering, text generation techniques
• Foundational knowledge of MLOps practices: version control (Git/DVC), containerization (Docker), and cloud deployment
• Experience with Jupyter notebooks / VS Code
• Strong communication skills in English; ability to document technical work clearly
• Exposure to semiconductor testing data or industrial IoT datasets
• Experience with RAG systems, LLM fine-tuning workflows (LoRA, QLoRA)
• Familiarity with integrating AI components into existing test platform codebases
• Elementary German proficiency

Our offer

• Flexibility
• Benefits
• Development
• Fitness
• Security

Flexibility: Flexible and trust-based working hours, 30 vacation days + option for additional vacation days, mobile working, individual part-time models and programs for extended periods of absence

Benefits: Attractive salary, share in Advantest´s success through our exceptionally appealing bonus program as well as numerous subsidies, discounts and offerings (e.g. bike leasing)

Development: Structured onboarding programs and mentoring, development discussions, technical and soft skill trainings, language courses and knowledge sessions

Fitness: Ergonomic working environment, sports and fitness options and events (e.g. Global Challenge) as well as health days

Security: Attractive company pension scheme, comprehensive insurance coverage and support in emergency situations

Insights into our work environment

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Take your next career step with us! Apply now, preferably via our online application tool.

For further information visit: www.advantest-career.de