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Sensor Characterization Engineer
Sensor Characterization EngineerOmni Vision Inc • Santa Clara, CA, United States
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Sensor Characterization Engineer

Sensor Characterization Engineer

Omni Vision Inc • Santa Clara, CA, United States
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  • [job_card.full_time]
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Description

  • Perform bench test and analysis to ensure accurate and reproducible image sensor performance metrics;
  • Conduct analytic studies of CMOS image sensor's fundamental performance issues and provide technical suggestions of improvement;
  • Work with analog / digital design team to troubleshoot chip / system level performance issues;
  • Support R&D teams by providing detailed performance reports and actionable recommendations for future product development and process optimization;
  • Develop scientific image quality measurement, calibration, evaluation, analysis and ISP verification tools;
  • Conduct modeling and simulation of imaging systems, image sensor readout circuit and image sensor digital timing;
  • Focus on mobile image sensor projects verification and optimization;
  • Develop Python and MATLAB scripts to automate data acquisition, processing, and visualization of large characterization datasets.

Requirements :

Master's degree or foreign equivalent degree in Electrical Engineering, Computer Engineering or a closely related field with a focus on Electronic Circuits and Systems.

Must have the skills in :

  • Integrated CMOS analog / digital systems, analog IC design, CMOS logic design, integrated circuit analysis, sensors.
  • Digital circuit, ADC / DAC, Phase-locked loops(PLL), evaluation and feedback of noise performance, performance estimation, lab simulation, test of circuits, analysis of noise and distortion
  • Circuit characterization, Cadence tools for transistor level simulation, layout, verification, VLSI implementation methodology, EDA tools.
  • Python program.
  • MATLAB software simulation.
  • Annual base salary for this role in California, US is expected to be between $156,853 - $160,000. 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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