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Job description
In this role, you will contribute to research initiatives focused on generative and agentic AI systems, evaluating how these technologies can improve user experience and operational efficiency across Advantest platforms. You will work with structured workflows and multi-step AI systems to explore practical applications in engineering environments.
Experiment with LLM-based agent configurations on internal Advantest infrastructure, evaluate model performance, design and analyze agentic workflows, develop and iterate on multi-step AI pipelines for task execution and reasoning.
Strong programming skills in Python, basic understanding of machine learning or large language models, ability to work independently and communicate technical ideas clearly.
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Manufacturing • Tech, Software & IT Services
Advantest is a leading global provider of automatic test and measurement equipment, essential for the design and production of semiconductors. The company’s innovative systems and solutions support the development of cutting-edge technologies including 5G, IoT, AI, and high-performance computing. Advantest empowers semiconductor manufacturers to optimize yield, ensure quality, and accelerate time-to-market. Advantest’s portfolio includes automated test equipment (ATE) for wafer sort and final test, high-speed memory testing, yield analysis solutions, and advanced test interface technologies like probe cards. With a history of innovation dating back to 1954, Advantest continues to invest in R&D to address the evolving challenges of the semiconductor industry and enable the next generation of electronic devices.