Chip Optoelectronic Evaluation Engineer

Shenzhen

Chip Optoelectronic Evaluation Engineer

/

R&D-Test

Job ID: CN096

Key Responsibilities

  1. Design, build, calibrate, and maintain test platforms for optoelectronic chip performance (quantum efficiency, dynamic range, MTF, etc.)
  2. Operate and maintain optoelectronic test equipment (e.g., spectrometers, optical power meters, illuminance meters, light sources, oscilloscopes) to ensure test platform stability and accuracy
  3. Optimize test procedures to improve test efficiency and accuracy
  4. Support the full test process for chip development projects, including testability analysis for key metrics, platform setup, competitive analysis, tuning, and closed-loop optimization
  5. Analyze and process test data, identify performance deviations and anomalies, and prepare test reports
  6. Collaborate with design, optics, algorithms, and mass production teams to locate and resolve optoelectronic performance issues encountered during product development
  7. Organize and maintain test documentation, including test records, reports, and equipment maintenance logs

Requirements

  1. Bachelor’s degree or above in optical engineering, electronics, or related fields
  2. 5+ years of experience in image sensor or optoelectronic chip performance testing and characterization, with proven experience leading complex test projects or building test systems
  3. Proficient in image sensor performance parameters and their physical significance (e.g., QE, SNR, DR, PRNU, dark current, FWC, etc.)
  4. Deep understanding of international standards related to optoelectronic testing (e.g., EMVA 1288, ISO 15739, ISO 12233)
  5. Familiar with semiconductor physics and the working principles of CMOS image sensors
  6. Skilled in using and programming test instruments such as light sources, oscilloscopes, signal generators, and illuminance meters
  7. Knowledgeable in the use and selection of optical components such as filters, neutral density filters, and polarizers
  8. Strong problem-solving skills for complex technical issues, with robust data analysis capabilities
  9. Excellent communication and cross-team collaboration skills, with the ability to present technical reports and data conclusions clearly and accurately

Nice-to-Have

  1. Experience in camera image quality (IQ) evaluation and tuning
  2. Experience developing complete automated test frameworks using Python/C++/Matlab
  3. Familiarity with image testing methods and environments such as Imatest and DxO

Delivery Method

Please use the job title/number and your name as the email subject and send your resume to our recruitment email address.

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