[석/박사 신입&경력] Etch Process Engineer for KTC R&D Center

Conduct process engineering research, development, and evaluation in support of Lam's cutting-edge semiconductor equipment and systems, especially for Conductor Etch processes. Review and enhance processing techniques and methods applied in the manufacture and fabrication of products. Develop and sustain new processes and process improvements to reduce production costs and increase yields. Compile and analyze test data to establish next steps in process development and determine appropriate limits and variables for process specifications. Collaborate internally to plan, collect data, analyze results, and report on customer demos for existing process applications. Partner cross-functionally and with customers to understand roadmaps, process flow, inflection points, requirements, and business challenges. Contribute to next generation product development and release activities supporting the semiconductor roadmap. Provide leadership, clear direction, and guidance to process technicians to support execution activities. Master's degree in Materials Science, Chemical Engineering, Chemistry or Physics or related field with 6+ years of experience; or a PhD with 3+ years' experience; or equivalent experience. Familiarity with working in a clean-room laboratory and on semiconductor equipment with experience in surface preparation and analytical techniques. Experience in Conductor etch process development and process design Experience working in a collaborative and matrixed environment with diverse teams, semiconductor customers, and/or partners. Working knowledge of statistical analysis and problem-solving methodologies. Fluent in Verbal and Written English communication Background in Plasma Physics, Reactive Ion Etching (RIE), Atomic Layer Etching (ALE), Inductively Coupled Plasma (ICP), Capacitively Coupled Plasma (CCP). In-depth understanding of Statistical Process Control (SPC) and/or Design of Experiments (DOE). Experience with statistical tools (JMP, Minitab, etc.) Knowledge of Material synthesis and material characterization. Experience in MATLAB, Python, or other similar scientific computing language.