The role involves deploying and optimizing deep learning perception models on NVIDIA embedded platforms like Jetson and Orin for autonomous mining vehicles
Job Summary
The role involves deploying and optimizing deep learning perception models on NVIDIA embedded platforms like Jetson and Orin for autonomous mining vehicles.
Candidates will perform system-level engineering tasks including driver configuration, cross-compilation, and maintaining Docker or ROS2 environments.
The position requires close collaboration with algorithm, fusion, and hardware teams to ensure stable integration of perception modules in the vehicle system.
Matching Summary
The 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
C++ and Python programming skills
NVIDIA Jetson Orin embedded platform experience
TensorRT CUDA cuDNN optimization tools
Linux Embedded system engineering
Deep learning model deployment to edge devices
Lidar point cloud data processing
Nice-to-have
Multi-thread parallel programming expertise
ROS2 DeepStream framework knowledge
Target detection and segmentation understanding
System stability and maintainability focus
Long-term engineering capability building
Key Requirements
Bachelor's degree in Computer Science or related field
Experience with laser radar point cloud algorithms
Proven track record of embedded AI model deployment