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.

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

Your ResponsibilitiesRole 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 strategiesIntegrate AI components with existing systems, requiring experience in Java or C++ and familiarity with EclipseCurate and develop high-quality datasets, including synthetic data generation for robust training and evaluation of LLMsPreprocess datasets, fine-tune open-source LLMs (e.g., LLaMA, Mistral), and integrate RAG systems into semiconductor testing pipelinesRigorously evaluate LLM applications on correctness, latency, and hallucination metricsAssist in deploying LLM-based applications, analyze user feedback, and contribute to iterative improvementsWrite clean, maintainable, and testable code following software engineering best practicesCollaborate with cross-functional agile teams to translate customer requirements into prototype solutions, with opportunities to lead smaller sub-projectsAnalyze semiconductor testing data (parametric measurements, yield logs) using statistical methods and visualization toolsContribute 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 or C++ and familiarity with EclipseWork in Linux environments and handle command-line tools, scripting, and system operations

Your QualificationsUniversity degree in Data Science, Computer Science, Electrical Engineering, or a related field (Master's preferred, Bachelor's with 3+ years' experience accepted)Experience with Advantest V93000 test systems / SmarTest 8Experience in Eclipse Plugin development1-3 years of hands-on experience in machine learning, including coursework or practical work with NLP or LLMsProficiency in Python for data analysis (Pandas, NumPy) and ML model development (scikit-learn, PyTorch)Experience programming in Java or C++Strong understanding of Linux, including command-line usage, system navigation, and scriptingFamiliarity with LLM concepts: transformer architectures, prompt engineering, text generation techniquesFoundational knowledge of MLOps practices: version control (Git/DVC), containerization (Docker), and cloud deploymentExperience with Jupyter notebooks / VS CodeStrong communication skills in English; ability to document technical work clearlyExposure to semiconductor testing data or industrial IoT datasetsExperience with RAG systems, LLM fine-tuning workflows (LoRA, QLoRA)Familiarity with integrating AI components into existing test platform codebasesElementary German proficiency

Our offerFlexibilityBenefitsDevelopmentFitnessSecurityFlexible 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 absenceAttractive 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 sessionsErgonomic working environment, sports and fitness options and events (e.g. Global Challenge) as well as health daysAttractive 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

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