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Advantest Europe GmbH

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

München, Bayern, Germany

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hirly's read of this role

Role family
Sales
Seniority
Mid level
Country
DE
Work mode
On-site / unstated
First seen by hirly
26 Sept 2026

Derived automatically from the posting. Upload your resume above to see how the role scores against it.

the posting

  • 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
Original posting on Advantest Europe GmbH's site ↗

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