Sr. Product Engineer

Design a characterization/testing plan and work with R&D teams and manufacturing engineers to resolve various technical issues to meet performance requirements; participate in product definition and provide DFM inputs; work in close collaboration with silicon foundry, imager characterization and pixel design; interact with foundry fab in improving all silicon process, color, and package issues; improve product yield and performance by process optimization and layout design update; analyze yield and drive corrective actions for yield improvements; drive characterization to finalize the product datasheet; work with pixel design group to design the most sophisticated and optimized pixel layout; work with characterization team to analyze and debug pixel device circuit and various image related issues; ramp up for image sensors and ASIC devices; coordinate with company's fab to drive semiconductor processing tool vendors to optimize processes, including raw material vendor, IMP tool vendor and photo resist vendor etc.; set up new tape out product process flows, inline handbooks, JDV check etc.; work with testing engineers to develop, verify and release testing program at CP or FT. Requirements: Master degree in Materials Science & Engineering, Physics, or related field and three (3) years of experience in semiconductor related occupation. Must have the experience and skills in: FinFET semiconductor SiP (P-doped Silicon) epitaxy loop process and flow for 14nm node. This encompasses lithography, etching, epitaxy deposition and inline monitor. GaN-on-Si HEMT MOCVD (Metal-Organic Chemical Vapour Deposition) process. Including the GaN dislocation improvement, HEMT breakdown voltage increasing, channel mobility enhancement and wafer bowing optimization. Experienced in epitaxy recipe tuning and side effect analysis for recipe optimization. TEM and STEM analysis including HR-TEM (High resolution TEM), HAADF (High-angle annular dark-field imaging), EDX (Energy-dispersive X-ray spectroscopy), EELS (Electron energy loss spectroscopy) and SMF (Scanning Moire Fringe) for defect identity and process improve. Experiment design ability with logical split, recipe optimization, solution proposal and data analysis. Data analysis and innovated recipe optimization experience. Annual base salary for this role in California, US is expected to be between $144,664 - $148,000. Actual pay will be determined on a number of factors such as relevant skills and experience, and the pay of employees in the similar role.

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