Nvidia Senior Autonomous Vehicle Engineer 

China, Guangdong Province, Shenzhen 

2411906

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.