Researcher (Applied AI and Machine Learning)

Cohu, Inc. is building an AI group within Semiconductor Testing to solve and deploy solutions to hard, real-world problems that we encounter. This role will take on problems that do not have clean answers yet, build tooling to measure whether your solutions work, and help field and applications engineers reduce their workflow from weeks to hours. This newly created position in the AI Group is for a research role solving ambiguous, realworld AI problems for semi-conductor test-AI. This position will own end-to-end research and delivery on ambiguous, real-world AI problems in semiconductor test: turn messy inputs vague or customer-specific test terminology, undocumented protocols, thousands of pages of unstructured technical documentation into models, retrieval systems, and evaluation methods that hold up under real use. With no playbook to follow, in this role as much time will be spent defining the problem and its success criteria, as solving it. Examples of this kind of work include mapping inconsistent, customer-specific test names and undocumented protocols into a structured internal test library; converting undocumented manual test procedures into automated test programs; and building a RAGbased retrieval engine that gives engineers cited, source-linked answers from expansive tester documentation instead of making them dig for it themselves.

Essential Duties and Responsibilities:

 Collaborate with the engineering team and domain experts to evaluate and scope ambiguous…