Senior Autonomous Vehicle Engineer

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.