Ai推理引擎/模型部署实习生
Tasks
- Adapt operators for inference engine
- Analyze inference latency fps throughput
- Compile and deploy models on edge
- Convert train model to inference engine
- Debug and troubleshoot inference engine issues
- Deploy AI models on CPU GPU NPU DSP
- Deploy robotic perception models on edge
- Develop runtime and inference engine software
- Manage memory and optimize data transfer
- Measure CPU GPU NPU utilization and memory usage
- Optimize inference performance on heterogeneous platforms
- Optimize operator performance
- Quantize models and validate accuracy
Perks/Benefits
- N/A
Skills/Tech-stack
C# | C++ | CMake | CPU cache | CUDA | DDR Bandwidth | Edge AI | FPS | GDB | Git | Graph optimization | Latency | Linux | Memory Management | Model Pruning | Multithreading | ONNX | ONNX Runtime | Operator fusion | Perf | Performance Analysis | PyTorch | Python | SIMD | Tensor Quantization | TensorRT
Education
Regions
Countries
States
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