This role involves deploying and optimizing deep learning perception models on NVIDIA embedded platforms like Jetson and Orin for autonomous mining vehicles
Job Summary
This role involves deploying and optimizing deep learning perception models on NVIDIA embedded platforms like Jetson and Orin for autonomous mining vehicles.
Candidates will utilize tools such as TensorRT, CUDA, and ROS2 to ensure high-performance inference and system integration within a global team.
The position requires close collaboration with algorithm, fusion, and hardware teams to achieve stable long-term evolution of the perception module.
Matching Summary
This role involves deploying and optimizing deep learning perception models on NVIDIA embedded platforms like Jetson and Orin for autonomous mining vehicles.
Skills & Requirements
Must-have
Deep learning model deployment
NVIDIA Jetson Orin platform experience
TensorRT CUDA cuDNN optimization
C++ and Python programming skills
Lidar point cloud data processing
Linux Embedded system engineering
ROS2 DeepStream framework knowledge
Nice-to-have
Multi-thread parallel processing expertise
CUDA acceleration performance tuning
Object detection segmentation understanding
Long-term engineering capability mindset
System stability and maintainability focus
Key Requirements
Bachelor's degree in Computer Science or related field