System Development Engineer - Image Quality, RBKS Camera and Imaging, RBKS Camera and Imaging, RBKS Camera and Imaging

## Responsibilities - Optimize all ISP parameters to create the best possible image across diverse lighting conditions and scenarios. - Familiarize with ISP algorithms (demosaicing, noise reduction, sharpening, tone mapping, color correction), camera control algorithms, and how different components in the imaging system interact with each other. - Figure out how to improve image quality by innovating solutions and communicating with others. - Develop new tuning methodologies, implement automated validation frameworks, optimize ISP parameters for specific use cases, or create comprehensive test protocols. - Work with hardware and prototype devices on Amazon Tampere premises. - Analyze baseline image quality from the initial hardware build, identifying key areas for improvement in color accuracy, noise performance, and dynamic range across different lighting conditions. - Provide input to a comprehensive tuning plan that prioritizes the most impactful ISP parameters. - Systematically optimize exposure control, white balance, color correction matrices, and noise reduction settings while validating improvements through both objective metrics and subjective assessments. - Execute validation campaigns to ensure image quality meets specifications. - Design and implement new automated tests that improve coverage for challenging lighting conditions. - Collaborate with imaging experts to root-cause quality issues, present tuning progress to stakeholders, and document methodologies for team leverage. ## Requirements - MSc, BSc, or equivalent. - Understanding of ISP algorithms and image processing pipelines. - Experience with ISP tuning for camera systems, including exposure control, white balance, color correction, noise reduction, and sharpening. - Strong analytical skills. - Deep understanding of ISP algorithms. - Expertise in image quality assessment methodologies. - Capability to innovate solutions that work within given hardware constraints. - Camera system understanding and ability to learn from others. - Genuine interest to use and keep adopting the latest IQ tools for tuning, validation, and testing. ## Nice to Have - Experience with objective and subjective image quality metrics. - Experience with automated testing frameworks. - Experience with statistical analysis. - Experience with hardware validation processes. ## Benefits - Work with the latest and greatest technologies in the camera and embedded industry. - Build the architecture for the future while delivering devices to the market. - Collaborate with experts in the same office in Tampere. - Access to a strong network of imaging experts. - Flexible culture where results matter.