Title: Computer Vision & Optical Engineering V

Duration: 12 Months Contract

Location: Sunnyvale, CA Remote

10+ years of experience required.

Bachelors required, Master or PhD preferred.

Optical Modeling Engineer

Responsibilities

Develop and validate optical models as part of an imaging simulation pipeline to enable Client camera HW explorations, data generation, and product architecture validation.

Partner with the internal optics and camera team to understand modeling requirements and to improve fidelity and efficiency.

Liaison with software partners like Synopsis and Ansys to understand their implementations, limitations and find out solutions.

Collaborate with developers of other pipeline components such as graphics renderer and sensor model to understand different implementation tradeoffs and optimize for overall performance.

Experiment and data collection to validate modeling accuracy

Investigate latest imaging modeling technologies to enable realistic simulation of real camera behaviors

Research and develop Client calibration and metrology technologies.

Qualifications

Imaging optics design and optimization experience

This position requires hands-on development on programmatically modeling complex lens behaviors. Scripting experience with programming languages like Python or Matlab is a must.

Expertise on using software like Code V or Zemax for lens design or ray tracing. Preferably with knowledge on how ray tracing is implemented in these softwares.

Knowledge of image formation process (spectrum, optics/aberrations, PSF, sensor noise, Fourier theory, sampling/aliasing) needed to successfully model and simulate complex imaging phenomena.

Ability to work with minimal direction and manage a project independently from start to finish.

Good to have

Experience developing and implementing optics design and ray tracing software like Code V and Zemax.

Experience in modeling of imaging systems, calibration and metrology

Experience in image quality testing of camera systems and familiar with image quality metrics and analysis (MTF/SNR).

Familiar with image sensor and image processing algorithms