Job Responsibilities:
-Design and develop enterprise-grade AI application systems, driving the deep integration of AI into manufacturing
and business operations.
-Build systems—such as intelligent quality inspection, predictive maintenance, knowledge Q&A, and intelligent
production scheduling—leveraging Large Language Models (LLMs), machine learning, and computer vision technologies.
-Oversee AI model deployment, system performance optimization, and stability assurance; ensure system scalability
and sustainable operation; and resolve issues related to performance bottlenecks and model accuracy degradation.
-Develop enterprise-level AI capability platforms, including AI agent systems, RAG knowledge bases, and centralized
data and capability platforms.
-Perform model compression and performance optimization to meet specific performance and quantization requirements.
-Collaborate across teams to ensure the stable implementation of model optimization solutions within products.
-Engage with clients and product teams to identify new business use cases and value opportunities through
Proof-of-Concept (POC) projects and rapid experimentation.
-Produce technical documentation, experiment reports, and methodological summaries to support team decision-making
and knowledge accumulation.Qualifications
Requirements:
-Master’s degree or higher in Computer Science, Machine Learning, Electronic Information, Intelligent Manufacturing,
or related fields;
-2+ years of experience in AI development or related areas; experience implementing AI projects in the semiconductor
manufacturing industry is a plus;
-Proficiency in Python and familiarity with common machine learning libraries (e.g., NumPy, Pandas, scikit-learn, and at
least one of PyTorch or TensorFlow); strong coding and engineering mindset;
-Familiarity with application development using mainstream Large Language Models (e.g., OpenAI, Tongyi, GPT) and
prompt engineering;
-Familiarity with RAG architecture and vector databases (e.g., Milvus, FAISS, Weaviate);
-Familiarity with LLM application frameworks (e.g., LangChain, LlamaIndex, Dify) is a plus;
-Familiarity with cutting-edge technologies such as Transformers, LLMs, and vLLM;
-Backend development skills (e.g., FastAPI, Flask, Django) and API system design capabilities;
-Familiarity with Docker and Linux deployment environments; experience with local model deployment is a plus;
-Strong problem-definition skills and an exploratory mindset; ability to formulate hypotheses, design experiments,
and validate feasibility in scenarios with limited precedents;
-Excellent communication and cross-team collaboration skills; ability to drive projects forward in coordination with
frontend/backend teams, SRE, product managers, and QA;
-CET-6 or equivalent English proficiency (reading/writing); ability to read technical documentation in English and handle
basic communication;
-Interest in intelligent applications for semiconductor testing and a willingness to explore and implement new application
directions with the team.
Advantest (TSE: 6857) is the leading manufacturer of automatic test and measurement equipment used in the design and production of semiconductors for applications including 5G communications, the Internet of Things (IoT), autonomous vehicles, high performance computing (HPC) including artificial intelligence (AI) and machine learning, and more. Its leading-edge systems and products are integrated into the most advanced semiconductor production lines in the world. The company also conducts R&D to address emerging testing challenges and applications; develops advanced test-interface solutions for wafer sort and final test; produces scanning electron microscopes essential to photomask manufacturing; and offers system-level test solutions and other test-related accessories. Founded in Tokyo in 1954, Advantest is a global company with facilities around the world and an international commitment to sustainable practices and social responsibility.
More information is available at www.advantest.com.