Job Responsibilities:
- Design and develop enterprise-level AI application systems to drive the deep integration of artificial intelligence into manufacturing and business scenarios.
- Build systems such as intelligent quality inspection, predictive maintenance, knowledge Q&A, and intelligent production scheduling based on large language models (LLMs), machine learning, and computer vision technologies.
- Oversee AI model deployment, system performance optimization, and stability assurance to ensure system scalability and sustainable operation, with the ability to resolve performance bottlenecks and accuracy degradation issues.
- Build enterprise-level AI capability platforms, such as Agent systems, RAG knowledge bases, data hubs, and capability hubs.
- Perform model compression and performance optimization to meet model performance and quantification requirements.
- Collaborate across teams to ensure the stable implementation of model optimization solutions in products.
- Participate in discussions with clients and product teams to identify new business use cases and value opportunities through POCs and rapid experiments.
- Author technical documentation, experiment reports, and method summaries to support team decision-making and knowledge accumulation.
Job Requirements:
- Master’s degree or higher in Computer Science, Machine Learning, Electronic Information, Intelligent Manufacturing, or a related field;
- 2+ years of AI development or related experience; candidates with experience implementing AI projects in the semiconductor manufacturing industry will be given priority
- Proficient in Python; familiarity with at least one common machine learning library (e.g., NumPy, Pandas, scikit-learn, PyTorch, or TensorFlow); strong coding and engineering skills
- Familiarity with mainstream large-model application development (e.g., OpenAI, Tongyi, GPT) and prompt engineering;
- Familiarity with RAG architecture and vector databases (e.g., Milvus, FAISS, Weaviate);
- Preference given to candidates familiar with large-model application development frameworks such as LangChain, LlamaIndex, or Dify;
- Familiarity with cutting-edge technologies such as Transformers, LLMs, and v-LLMs
- Proficiency in backend development (FastAPI, Flask, Django, etc.) and API system design
- Familiarity with Docker and Linux deployment environments; experience with local model deployment is a plus
- Strong problem-definition skills and an exploratory mindset, capable of formulating hypotheses, designing experiments, and validating feasibility in scenarios with limited precedents;
- Strong communication and cross-team collaboration skills, capable of working with front-end, back-end, SRE, product, and testing teams to drive projects forward
- CET-6 or equivalent English reading and writing proficiency, capable of reading English technical documentation and participating in basic communication
- Interest in intelligent scenarios for semiconductor testing, and a willingness to explore and implement new application directions with the team
Skills Required
- Master's degree or higher in Computer Science, Machine Learning, Electronic Information, Intelligent Manufacturing, or related field
- 2+ years of AI development or related experience
- Experience implementing AI projects in semiconductor manufacturing (preferred)
- Proficient in Python with strong coding and engineering skills
- Familiarity with common ML libraries (NumPy, Pandas, scikit-learn, PyTorch, TensorFlow)
- Familiarity with mainstream large-model application development (OpenAI, Tongyi, GPT) and prompt engineering
- Familiarity with RAG architecture and vector databases (Milvus, FAISS, Weaviate)
- Familiarity with large-model application frameworks (LangChain, LlamaIndex, Dify)
- Familiarity with Transformers and v-LLMs
- Proficiency in backend development (FastAPI, Flask, Django) and API system design
- Familiarity with Docker and Linux deployment environments
- Experience with local model deployment (a plus)
- Strong problem-definition, experimental design, and validation skills
- Strong communication and cross-team collaboration skills
- CET-6 or equivalent English reading and writing proficiency
- Interest in intelligent scenarios for semiconductor testing and willingness to explore new applications
What We Do
For over a half-century, Advantest has been designing innovative electronic measuring equipment and semiconductor test systems essential to the development and manufacture of advanced computer and telecommunications products. On April 1, 2012, Advantest completed its integration of Verigy Ltd. Additional Information about Advantest can be found at www.advantest.com.
