We are seeking an expert in image processing and camera image quality tuning that interprets camera data 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: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.Tune and calibrate camera ISPs for efficient ADAS/autonomous 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 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)5+ years of experienceExcellent C and C++ programming skillsFamiliarity with multi-sensor data integration and sensor fusion techniquesStrong 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:Familiarity with sensor fusion (integrating data from LiDAR, RADAR with cameras).Experience with real-time OS, Linux, and development tools (Git, Jira).Understanding of functional safety (ISO26262) in automotive contexts.Project management experience is a plus.
