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Omni Vision Inc

Applications Engineer

Omni Vision Inc, Santa Clara, California, us, 95053

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Description

Perform comprehensive image sensor verification to evaluate CMOS image sensor for functionality, pixel performance, image quality, and electrical performance. Prepare detailed verification report. Create and tune image sensor configurations to achieve optimal image quality, functionality and electrical performance. Review sensor and package specification, requirement and design documents during the NPI process, ensuring alignment with target applications. Create and review test board and AA board designs for sensor verification, evaluation and customer demonstration. Create and maintain sensor datasheet, application note, and reference design. Serve as primary technical interface for direct customer support and help FAEs support customers on image sensor application projects. Present the technical aspects of image sensor solutions during the pre-sales process, providing design guidance, and promoting solutions that meet the customer's requirements. Provide expertise to support customers in system bring-up, reference settings, image quality tuning. Troubleshoot issue related to image quality and electrical performance. Job Requirements:

Master's degree in Electrical engineering, computer engineering, or related fields plus two (2) years of experience in image sensing related occupation.

The required experience:

CMOS image sensor and optics principles, image quality evaluation procedure and ISP tuning. Script language programming for image and data processing. Image quality evaluation, such as MTF, noise, uniformity, color. Interfaces such as MIPI, GMSL2/FPD-Link SerDes, I2C. Circuit design, test and debugging. Sensor system bring-up, configuration and troubleshooting. Version control tool. Lab devices, such as oscilloscope, signal generator, power supply, and multimeter.

Annual base salary for this role in California, US is expected to be between $151,091 - $155,000. 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.