Camera Image Quality Tuning Engineer

We are seeking a hands-on Camera Image Quality Tuning Engineer to support Amazon Devices teams focused on video calling and imaging applications for Echo devices. The ideal candidate will have strong experience in camera image quality tuning, optics, image analysis, and camera validation using Qualcomm or MediaTek platforms. This role involves tuning and validating camera performance under various lighting conditions, analyzing RAW images, developing test methodologies, and optimizing image quality metrics such as sharpness, noise reduction, and color accuracy. Candidates should be comfortable working in a lab environment building fixtures, running simulations, and performing hands-on camera testing. Key Responsibilities Perform end-to-end camera image quality tuning on Qualcomm and/or MediaTek platforms Analyze RAW images and optimize image processing parameters including: Sharpness Exposure and white balance Develop and execute camera test plans and test cases under multiple lighting conditions Build and configure camera testing fixtures, rails, moving object setups, and lighting environments Use MTF charts and image quality tools to evaluate sharpness, distortion, and noise performance Pull and process image data using Python scripts and automation tools Run simulations on captured images to determine optimal tuning parameters and use cases Work closely with validation teams to verify image quality improvements and document results Understand how lens selection, focal length, and placement impact image quality Generate tuning reports, SOPs, KPI tracking, and validation documentation Collaborate with algorithm, FPGA, and hardware teams to optimize overall camera performance Required Qualifications Bachelor’s degree in Electrical Engineering, Computer Science, Imaging Science, or related field 3+ years of hands-on experience in camera image quality tuning or camera validation Experience with Qualcomm Snapdragon or MediaTek camera tuning tools Strong understanding of: Optics and focal lens behavior RAW image processing Image quality metrics Noise analysis and sharpness evaluation Experience with camera testing under varying lighting conditions Hands-on experience building lab setups, fixtures, rails, and motion-based camera test environments Proficiency in Python for image extraction, analysis, and test automation Experience developing test cases and validation methodologies Ability to distinguish and troubleshoot image quality issues in real-world scenarios Preferred Qualifications Understanding of computational photography concepts Experience with multiple OEM camera tuning programs Familiarity with video calling/video chat camera optimization Knowledge of imaging algorithms and how tuning impacts end-user image quality Technical Skills Python scripting RAW image analysis MTF chart testing and analysis Camera lab equipment and lighting setups Image quality evaluation methodologies Hands-on lab environment with camera hardware and testing equipment Onsite collaboration with Amazon Devices engineering teams Fast-paced development and validation environment focused on end-user image quality experience #J-18808-Ljbffr Pentangle Tech Services | P5 Group