R&D Engineer – AI Integration (m/f/d)

advantestcareers; München; Vor Ort; EUR 70.000 - 110.000; Vollzeit

Zusammenfassung

advantestcareers in München seeks an R&D Engineer to advance AI and ML for semiconductor testing, focusing on Large Language Models (LLMs) and end-to-end AI pipelines.

You will design, implement, test, and optimize RAG workflows, integrate AI components with Java/C++ and Eclipse, and collaborate with agile teams to translate customer requirements into prototypes.

Qualifikationen

• University degree in Data Science, CS, EE or related field (Master’s preferred).
• Experience with Advantest V93000 test systems / SmarTest 8.
• Experience in Eclipse Plugin development.
• 2-4 years of hands-on ML, including NLP/LLMs.
• Proficiency in Python for data analysis and ML development.
• Experience programming in Java and C++.
• Strong Linux knowledge and scripting.
• Familiarity with LLM concepts and prompt engineering.
• MLOps basics: Git/DVC, Docker, and cloud deployment.
• Experience with notebooks (Jupyter) and VS Code.
• Good English communication; documentation skills.
• Exposure to semiconductor testing data or industrial IoT datasets.
• Experience with RAG systems and LLM fine-tuning (LoRA, QLoRA).
• Familiarity with integrating AI into existing test platform codebases.
• Elementary German proficiency.

Aufgaben

• Design and optimize end-to-end RAG pipelines for semiconductor testing workflows.
• Integrate AI components with Java/C++ and Eclipse-based systems.
• Curate datasets and generate synthetic data for robust training.
• Preprocess data, fine-tune open-source LLMs (e.g., LLaMA, Mistral).
• Evaluate LLM applications for correctness, latency, and hallucinations.
• Assist in deploying LLM-based applications and gather user feedback.
• Write clean, maintainable code following best practices.
• Collaborate with agile teams and potentially lead sub-projects.
• Analyze semiconductor testing data using statistical methods and visualization.
• Contribute to MLOps for model training, evaluation, deployment (PyTorch, Hugging Face) and cloud platforms (AWS/Azure).
• Work in Linux environments with command-line tools and scripting.

Kenntnisse

Python

PyTorch

NLP/LLMs

Java

C++

Linux

Eclipse

Data analysis

MLOps

Cloud

Ausbildung

Master’s degree in Data Science, Computer Science, Electrical Engineering, or related field

Bachelor’s degree with 5+ years experience

Tools

Eclipse

Docker

Git

DVC

VS Code

Jupyter

Jobbeschreibung

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

• 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