We are seeking an expert in image processing and image quality tuning for Autonomous Vehicle perception. The candidate needs to have experience in computer vision, real-time image processing, and sensor integration in the context of automotive or robotics applications.What you will be doing:Develop image processing algorithms and Optimize pipelines for real-time processing within hardware constraints and power budgets.Solve challenges related to noise reduction, color correction, sharpening, white-balancing, HDR, and low-light performance.Develop and apply methods for measuring and benchmarking image quality metrics.Troubleshoot and resolve image quality issues in complex driving and lighting scenarios.Ensure real-time processing and efficient execution(Perf tunning) for high-throughput camera data streams on embedded or edge computing platforms.Developing unit tests, documentation for features, evaluating quality and proposing corrective actions.Deliver efficient product code in C++, making use of high algorithmic parallelism offered by GPGPU programming (CUDA). Follow quality and safety standards such as defined by MISRAWhat we need to see:BS/MS or higher in computer engineering, computer science or related fields (or equivalent experience)10+ years of experienceExcellent C and C++ programming skillsWith Excellent Image processing techniques(e.g noise reduction, color correction, features extraction, image quality enhancement, etc.)Familiarity with multi-sensor data integration and sensor fusion techniquesWith good Understanding the end to end image processing chainStrong analytical and problem-solving skills; able to debug complex systems and work in a dynamic environmentDeep understanding of automotive image quality standards and hands-on experience with relevant testing tools.Advanced knowledge of image quality metrics, measurement, and enhancement for both visible and challenging conditions (low-light, adverse weather).Proven understanding of programming and debugging techniques, especially for parallel and distributed architectures.Great communication and analytical skills.Ways to stand out from the crowd:Background with sensor fusion (integrating data from LiDAR, RADAR with cameras).Familiarity with Object detection AlogrithmsFamiliarity with open standard graphics and compute Khronos Interfaces (Vulkan SC, OpenGL SC, ect.)Understanding of GPU architectures (CUDA cores, Tensor Cores, memory hierarchies)Understanding of functional safety (ISO26262) in automotive contexts.