Amazon.com Services LLC
Technology
HumanVisionEngineer,OpticalMetrology&VisionScience
“Human Vision Engineer, Optical Metrology & Vision Science at Amazon.com Services LLC. Skills: Human vision, Display engineering, Psychophysical experiments, Computational modeling. Develop computational models of human vision. Apply computational models of human vision”
What You'll Achieve.
Ship products used by millions; Reduce dependence on physical hardware
Industry & Context.
System-level trade-offs; Perceptual correlation; Virtual prototyping
Work safely, Cooperate with employees, Adhere to standards, Communicate effectively, Communicate respectfully, Follow laws, Follow policies, Exercise sound judgment, Manage stress, Work safely, Work respectfully, Exhibit trustworthiness, Exhibit professionalism, Safeguard business operations, Safeguard company reputation
What They're Looking For.
Must Have
Bachelors in Vision Science, Bachelors in Visual Neuroscience, Bachelors in Perceptual Psychology, Bachelors in Optical Engineering, Bachelors in Color Science, Experience developing computational models, Experience with end-to-end display pipeline modeling, Demonstrated expertise designing experiments, Demonstrated expertise analyzing experiments, Verbal communication skills, Written communication skills, Foundation in color science, Foundation in colorimetry, Proficiency in MATLAB, Proficiency in Python, Proficiency in C++, Experience with image quality models, Familiarity with optics terms, Knowledge of display technologies
Nice to Have
M.S. or Ph.D. in Vision Science, M.S. or Ph.D. in Visual Neuroscience, M.S. or Ph.D. in Perceptual Psychology, M.S. or Ph.D. in Optical Engineering, M.S. or Ph.D. in Color Science, 1+ years applied industry research, Experience with display characterization, Background in computer graphics, Background in display rendering algorithms, Experience leveraging machine learning frameworks, Proficiency with optical design tools, Proficiency with optical simulation tools
What You'll Do.
Develop computational models of human vision
Apply computational models of human vision
Inform display hardware decisions
Inform display software decisions
Collaborate with display hardware engineers
Optimize technology selection
Optimize product architecture
Negotiate system-level trade-offs
Design psychophysical experiments
Execute psychophysical experiments
Quantify image quality
Quantify display quality
Define perceptual correlation
Validate perceptual correlation
Build lab infrastructure
Maintain lab infrastructure
Analyze experimental data
Develop perceptual simulation pipelines
Validate perceptual simulation pipelines
Predict visual appearance
Enable rapid virtual prototyping
Reduce dependence on physical hardware
How You'll Work.
Team & Collaboration
Technical teams; Business teams; Management teams; Display hardware engineers; Optical metrology engineers
Communication Scope
Customer communication; Technical communication; Business communication; Management communication; Report technical findings; Report product requirements
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