Staff Yield Engineer

Job Description: We are seeking a Staff Foundry Yield Engineer to join our Foundry Yield Engineering team. The position is responsible for driving yield improvement, supporting new product introduction and manufacturing transfers, performing yield and defect data analysis, and providing technical support for foundry manufacturing issues. The engineer will work closely with external foundry partners and cross-functional internal teams to ensure robust manufacturing performance, successful product ramp, effective excursion resolution, and continuous improvement in yield, quality, cost, and engineering efficiency.

Qualifications: Bachelor's or Master's degree in Electrical Engineering, Microelectronics, Semiconductor Engineering, Materials Science, Physics, or a related technical field. Solid understanding of semiconductor manufacturing processes, device fundamentals, and manufacturing/yield engineering. Relevant experience in semiconductor yield engineering, process engineering, process integration, product engineering, or foundry engineering. Strong experience with manufacturing and yield data analysis, including inline, electrical test, wafer sort, defect, and wafer-level data. Strong statistical problem-solving and root-cause-analysis skills. Experience with statistical/data-analysis tools such as JMP, Spotfire, Exensio/PDF, or equivalent. Demonstrated ability to work effectively with external manufacturing partners and cross-functional engineering teams. Strong written and verbal communication skills. Preferred Qualifications Experience working with semiconductor foundries or outsourced wafer manufacturing. Experience with NPI, manufacturing transfer, qualification, safe launch, and production ramp. Knowledge of SPC, Cp/Cpk, D0/defect-density analysis, wafer-map analysis, correlation analysis, and statistical data mining. Experience resolving complex manufacturing yield excursions and driving corrective actions. Experience developing automated data-analysis or reporting workflows. Exposure to AI/ML-assisted semiconductor data analytics is a plus.

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