The Cameras Architecture Team is looking for an Imaging Simulation Engineer, who has extended experience in leading imaging technology, algorithm development and evaluation, to help develop, validate, and execute end-to-end simulation for camera systems consisting of image sensor, optics, control algorithms, and application software for the study and validation of new camera technologies and drive future product camera architectures that meet Company’s product vision. The ideal candidate will have hands‑on experiences with lab equipment and be familiar with camera test methodologies.
Base pay range
$100.00/hr - $120.50/hr
Responsibilities
- Develop, validate, and execute state‑of‑the‑art imaging software simulation tools to enable client camera HW explorations, machine learning dataset generation, and product architecture tasks for consumer products.
- Investigate latest imaging simulation methods (e.g. ISET, ZEMAX, non‑sequential ray tracing) to enable realistic simulation of real camera behavior for architecture, algorithms, and image quality development for consumer mobile products.
- Experiment and collect data to validate simulator accuracy and improve simulator modeling capability and efficiency.
- Build and bring up lab setups for image data acquisition of camera prototypes to support camera design studies. Operate, calibrate, and perform routine maintenance of lab equipment.
- Develop and document camera test methodologies to support 2D/3D camera system performance analysis.
- Develop and debug test scripts for image data collection automation.
- Process, analyze, and organize measurement data; present initial analysis.
- Drive supplier interaction and management to deliver camera prototypes in support of concept demonstrations.
Qualifications
- Minimum Qualifications: Advanced degree (M.S.) or equivalent experience in a discipline such as Imaging Science, Image Processing, Computer Vision, or related fields.
- 10+ years of experience.
- Knowledge of image formation process (spectrum, optics/aberrations, PSF, sensor noise, Fourier theory, sampling/aliasing) needed to successfully model and simulate complex imaging phenomena.
- Experience and knowledge in developing and tuning Image Signal Processing (ISP) algorithms and pipeline.
- Experience coding in languages such as MATLAB, Python, C/C++, preferably CUDA, designing code for efficiency, and targeting different platforms such as GPU, Cloud, and others.
- Experience in image quality testing of camera systems and familiarity with image quality metrics and analysis.
- Hands‑on experience developing lab setups for camera system performance study.
- Experience in camera calibration and modeling of imaging systems.
- Familiarity with image sensors, imaging optics, and image processing algorithms.
- Ability to work with minimal direction and manage a project independently from start to finish.