Camera Color Science Engineer
**Role Number:** 200659200-0836
**Summary**
The Camera Systems Engineering group is responsible for the simulation, calibration, and analysis of camera systems across Apple products. The Color Science team develops simulation-driven models and methods to predict, evaluate, and optimize color performance from individual optical components through to final image quality. Our work informs architecture decisions, sets manufacturing specifications, and de-risks new camera technologies early in the product cycle.
**Description**
As a Color Science Engineer you will help to build the next generation of camera color technology. In this role, you will develop spectral simulation and modeling tools to quantify how component-level variation impacts system-level color performance, define specifications grounded in Monte Carlo error budgets, and evaluate emerging sensor architectures and optical technologies. You will work cross-functionally with sensor, optics, ISP, architecture and other teams to translate findings into actionable recommendations.
**Minimum Qualifications**
+ Bachelor's degree in Color/Imaging Science, Physics, Optical Engineering, EE, or a relevant field
+ Experience in color or vision science, including color/spectral measurement and color appearance
+ Experience programming in Python and/or Matlab
**Preferred Qualifications**
+ MS/PhD in Color/Imaging Science or a related field and 3+ years of relevant industry experience
+ Experience with spectral simulation or modeling of physical/optical systems and their impact on color response, including familiarity with ISP pipeline concepts such as AWB and color management
+ Experience in statistical modeling, error analysis, or Monte Carlo methods
+ Experience with two or more of the following: spectrometers, monochromators, goniometers and ability to relate measurement precision/accuracy to international standards
+ Experience connecting lab characterization of camera systems to manufacturing specs as they relate to color performance
+ Experience with AI/ML tools applied to engineering workflows
+ Experience distilling complex technical analysis into clear recommendations for cross-functional and leadership audiences
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant (https://www.eeoc.gov/sites/default/files/2023-06/22-088\_EEOC\_KnowYourRights6.12ScreenRdr.pdf) .