Human Vision Engineer, Optical Metrology & Vision Science

Amazon Amazon · Big Tech · Sunnyvale, CA · Hardware Development

This role focuses on applying expertise in human visual perception to guide the design, evaluation, and optimization of next-generation display systems and visual experiences for Amazon's device portfolio. It involves developing computational models of human vision, designing psychophysical experiments, analyzing data, and building perceptual simulation pipelines to inform display hardware and software decisions. The role bridges vision science, computational modeling, display engineering, and user experience, translating perceptual principles into product specifications.

What you'd actually do

  1. Develop and apply computational models of human vision (contrast sensitivity, color appearance, temporal perception, spatial acuity) to inform display hardware and software decisions
  2. Collaborate with display hardware engineers to optimize technology selection, product architecture, and negotiate system-level trade-offs
  3. Design and execute rigorous psychophysical experiments to quantify image and display quality across viewing conditions; collaborating with optical metrology engineers to define and validate the perceptual correlation of objective metrics
  4. Build and maintain lab infrastructure for controlled visual experiments (calibrated displays, spectroradiometers, eye-tracking systems, controlled ambient environments)
  5. Analyze experimental data using advanced statistical methods (signal detection theory, Bayesian inference, mixed-effects models, ANOVA)

Skills

Required

  • MATLAB, Python, C++, or equivalent for stimulus generation, data analysis, and computational modeling
  • image quality models (S-CIELAB, SSIM, HDR-VDP, iCAM)
  • color science and colorimetry (CIE systems, color appearance models, chromatic adaptation)
  • display technologies (e.g. LCD, OLED, E Ink, AR/VR) and their perceptual trade-offs
  • computational models and simulations of visual perception, including end-to-end display pipeline modeling
  • designing and analyzing psychophysical experiments
  • verbal and written communication skills

Nice to have

  • machine learning frameworks (e.g., PyTorch, TensorFlow, scikit-learn) for perceptual modeling tasks
  • optical design and simulation tools (e.g., Zemax OpticStudio, LightTools, FRED, TracePro)
  • display characterization (spectroradiometry, BRDF measurement, temporal response measurement)
  • computer graphics and display rendering algorithms, including tone mapping, gamut mapping, subpixel rendering, temporal dithering, and local dimming
  • optics terms like MTF, PSF

What the JD emphasized

  • translate psychophysical principles into measurable engineering specifications that ship in products used by millions
  • Experience communicating with customers, technical, regulatory, business teams, and management to collect requirements, describe product features, and technical designs
  • Demonstrated expertise designing and analyzing psychophysical experiments, with strong verbal and written communication skills to report technical findings and product requirements.