Camera Image Quality Engineer

General Summary: The Camera Image Quality Engineer will be responsible for the design and development of image quality evaluation systems to measure Image Quality (IQ) metrics for Mobile, Automotive, IoT, XR, and Compute Cameras. The role involves both objective and subjective IQ evaluations, including aspects such as color, white balance, texture, noise, details, bokeh, tone/exposure, resolution, and subjective artifacts. Minimum Qualifications: • Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 2+ years of Systems Engineering or related work experience. OR Master's degree in Engineering, Information Systems, Computer Science, or related field and 1+ year of Systems Engineering or related work experience. OR PhD in Engineering, Information Systems, Computer Science, or related field. ​Key Responsibilities: Design and develop image quality evaluation systems to measure IQ metrics for various camera applications. Define image quality validation protocols, generate image/video datasets, and develop IQ metrics to evaluate and qualify camera solutions. Develop software tools for lab automation, IQ metric analysis, and IQ report generation. Generate image quality evaluation reports and communicate findings to improve IQ features. Qualifications: Minimum of 2 years of experience in image processing, computer vision, camera hardware or software development, or related fields. Proficiency in programming languages such as MATLAB, Python, and C/C++. Experience in imaging algorithm development for denoising and sharpening, color management, and 3A. In-depth knowledge of image quality aspects, IQ evaluation methodologies, and metrics. Experience in designing and setting up camera IQ lab tests and real-life test scenarios. Experience in developing objective IQ metrics. Knowledge and experience in machine learning algorithms for computer vision or computational photography. Familiarity with camera sensors and modules. Experience in camera IQ tuning for color, tone mapping, noise, texture/sharpness, exposure control, and white balance. Education: PhD or MS/M.Tech in Electronics, Electrical, or Computer Science Engineering. Specialization in Image Processing, Image Quality, or Color Science.