Sr. Product Engineer
Description
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.