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 MISRA

What we need to see:

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

5+ years of experience

Excellent C and C++ programming skills

Familiarity with multi-sensor data integration and sensor fusion techniques

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:

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.