R&D Engineer - AI Integration (m/f/d)

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IoT, 5G and Artificial Intelligence. Unthinkable without us. More than half of all the microchips produced worldwide first pass through our hands. As the global market leader of automated test systems in the semiconductor industry we help the world to realize the digital transformation, enable our customers to shape the future and offer you the exciting jobs intended for pioneers.

Are you seeking answers and opportunities for your future? At our site in Munich you will find both as

R&D Engineer - AI Integration (m/f/d)

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
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
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)
Structured onboarding programs and mentoring, development discussions, technical and soft skill trainings, language courses and knowledge sessions
Ergonomic working environment, sports and fitness options and events (e.g. Global Challenge) as well as health days
Attractive company pension scheme, comprehensive insurance coverage and support in emergency situations

Take your next career step with us! Apply now, preferably via our online application tool.
If you have any questions, Alena Nicolai will be happy to answer them at

For further information visit: now
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