Amazon Optical Metrology Engineer 

United States, California, Sunnyvale 

35586533

Key job responsibilities
* You will guide the architecture, design, development, qualification, and implementation of optical measurement solutions for product components and devices, such as displays, light sources, LEDs, and diffusers.
* Able to carry out fundamental technology investigations of complex optical modules to define internal and external customer specifications for mass production.
* Design and develop optical metrology systems for characterizing display technologies, defining lab and in-line workflows and standard operating procedures.
* Deploy data mining and analysis tools to correlate performance metrics with end user experience, providing insights to guide the engineering team’s development and product quality control.
* Utilize expertise in algorithm design, advanced machine learning, and programming of electro-optical hardware to drive innovation in display technology.
* Use a deep understanding of Customer Experience (CX) and User Experience (UX) principles to design experiments and conduct user studies for component and design qualification.
* Apply advanced color science principles to simulate and model optical performance, demonstrating accurate representations through simulation by by empirical validation.

- Experience with prototyping and implementation
- 4+ years of working in mechanical engineering or equivalent experience
- Advanced Degree (MS, PhD) in in Optical Engineering, Optical Sciences, Physics, Electrical Engineering or related field
- Skilled background in color science and photometry, including hands on experience with development, calibration, and test of optical metrology instrumentation.
- Able to conduct gauge repeatability and reproducibility (GR&R) studies to ensure the accuracy and precision of advanced measurement systems.
- 3+ years of experience in the display industry of delivering products with expertise in display characterization.
- Proficiency in programming for test automation and data analysis using languages such as LabVIEW, MATLAB, Python, C#, C++, etc.
- Excellent analytical skills, hands-on problem-solving abilities, and proficiency in hardware testing and troubleshooting.