Camera Color Science Engineer at Apple

Cupertino, California, United States -

Full Time

Start Date

Immediate

Expiry Date

23 Jul, 26

Salary

0.0

Posted On

24 Apr, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Color Science, Imaging Science, Python, Matlab, Spectral Simulation, Optical Engineering, Monte Carlo Methods, Statistical Modeling, ISP Pipeline, AWB, Color Management, Spectrometers, Monochromators, Goniometers, AI/ML Tools, Error Analysis

Industry

Computers and Electronics Manufacturing

Description

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

Responsibilities

Develop spectral simulation and modeling tools to quantify component-level variation and its impact on system-level color performance. Collaborate cross-functionally with sensor, optics, and ISP teams to define specifications and provide actionable recommendations for camera technology.