Job Description

Minimum qualifications:

• Master's degree in vision science, neuroscience, experimental psychology, a related field, or equivalent practical experience.
• 3 years of experience with human factors experimentation/testing and study design
  
  

Preferred qualifications:

• PhD in Vision Science, Neuroscience, or Experimental Psychology
• More than one publication in a scientific journal in vision, displays, neuroscience, or related fields
• 3 years of experience in data analysis and visualization using Python or MATLAB, and working with immersive display technology
• 3 years of experience in applying image processing routines and other metrology techniques to compute image quality attributes, including sharpness, color shift, uniformity, motion blur, and distortion
• 3 years of experience with display imaging pipelines (how different displays convert image data into light)
  
  

About The Job

As Google researches Augmented Reality hardware technology, we strive to maximize visual quality and form factor.

As the Applied Vision Engineer, you will work with an interdisciplinary group of engineers, UX researchers, and Product Managers to understand core requirements, set attainable goals that can be achieved in a product, and make predictions on the experiences throughout the development cycle.

The Google Augmented Reality team is a diverse group of experts tasked with building the foundations for great immersive computing and building helpful, delightful user experiences. We're focused on making immersive computing accessible to billions of people through mobile devices, and our scope continues to grow and evolve.

Responsibilities

• Analyze and optimize imaging systems within hardware for visual and perceptual quality.
• Develop, document, and validate key metrics for display performance and visual quality that can be used for component sourcing.
• Work with emulation platforms and test equipment to validate hardware and software.
• Work on a cross-functional team of mechanical, electrical, UX, and optical engineers to design display and imaging hardware.
  
  

Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .