R&D Engineer - Semiconductor Testing & AI Integration (m/f/d)
R&D Engineer - Semiconductor Testing & AI Integration (m/f/d)
R&D Engineer - Semiconductor Testing & AI Integration (m/f/d)
R&D Engineer - Semiconductor Testing & AI Integration (m/f/d)
Advantest Europe GmbH
Halbleiter, elektronische Bauteile
München
- Art der Beschäftigung: Teilzeit
- 74.500 € – 102.500 € (von XING geschätzt)
- Vor Ort
R&D Engineer - Semiconductor Testing & AI Integration (m/f/d)
Über diesen Job
Über uns:
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.
Aufgaben:
- As a Data Scientist (m/f/d), you will collaborate with senior team members to develop and deploy machine learning solutions, with a focus on Large Language Models (LLMs), for semiconductor testing and electrotechnical systems
- Assist in designing and implementing LLM-driven tools to automate data analysis, technical documentation processing, and defect prediction workflows for the 93K IC Test platform
- Work under guidance to preprocess datasets, fine-tune open-source LLMs (e.g., LLaMA, Mistral), and integrate retrieval-augmented generation (RAG) systems into testing pipelines
- Contribute to MLOps workflows for model training/evaluation using Python frameworks (PyTorch, Hugging Face) and cloud platforms (AWS/Azure)
- Participate in 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
Qualifikationen:
- University degree in Data Science, Computer Science, Electrical Engineering, or related field (Master's preferred, Bachelor's with 2+ years' experience accepted)
- 1-3 years of hands-on experience in machine learning, including coursework/practical work with NLP or LLMs
- Proficiency in Python for data analysis (Pandas, NumPy) and basic ML model development (scikit-learn, PyTorch)
- Familiarity with LLM concepts: transformer architectures, prompt engineering, or text generation techniques
- Foundational understanding of MLOps practices - version control (Git/DVC), containerization (Docker), and cloud deployment basics
- Basic Linux/Unix command-line skills and ability to work with Jupyter notebooks or VS Code
- Strong communication skills in English; ability to document technical work clearly
- This is a plus:
- Exposure to semiconductor testing data or industrial IoT datasets
- Experience with RAG systems or LLM fine-tuning workflows (LoRA, QLoRA)
- Basic knowledge of electronic measurement principles (oscilloscopes, parametric analyzers)
- Familiarity with Java for integration with existing test platform codebases
- Elementary German proficiency
Wir bieten:
- 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
Unser Kontakt:
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
+49 (0) 7031.204.8380
For further information visit: www.advantest-career.de
