模型部署实习生(机器人 / Edge AI)
Tasks
- Convert models to ONNX
- Deploy deep learning models
- Design and implement perception inference pipeline
- Develop GPU accelerated image postprocessing
- Develop GPU accelerated image preprocessing
- Integrate AI inference module in ROS2
- Optimize inference latency
- Optimize inference throughput
- Optimize inference with TensorRT
- Optimize model inference performance
- Optimize resource utilization
- Profile system performance bottlenecks with GPU profiling tools
- Use CUDA for performance optimization
Perks/Benefits
- N/A
Skills/Tech-stack
C++ | CNN | CUDA | GPU Profiling | Image Postprocessing | Image preprocessing | Jetson | Linux | NVProf | Nsight | ONNX | PyTorch | Python | ROS2 | TensorFlow | TensorRT | Transformer
Education
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
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