Senior Autonomous Vehicle Engineer - Image Processing

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 MISRA

What we need to see:

• BS/MS or higher in computer engineering, computer science or related fields (or equivalent experience)

• 10+ years of experience

• Excellent C and C++ programming skills

• With 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 techniques

• With good Understanding the end to end image processing chain

• Strong analytical and problem-solving skills; able to debug complex systems and work in a dynamic environment

• Deep 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 Alogrithms

• Familiarity 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.