高级Ai算法部署工程师
Tasks
- Adapt and optimize inference abstraction layer for AI accelerators
- Automate build packaging and layered artifact delivery
- Build end to end inference pipeline and perform on device validation
- Build one click packaging and delivery automation scripts
- Compress and optimize large models for inference acceleration
- Create cross compilation projects and manage build dependencies
- Deploy large models in cloud environments and optimize performance
- Design parameterized reusable engineering templates
- Develop and debug on embedded Linux and edge devices
- Implement model pruning and distillation and quantization
- Integrate AI operators into NPU APU or DSP and tune performance
- Integrate trained detection and tracking models into product
- Maintain and evolve edge inference framework
Perks/Benefits
- N/A
Skills/Tech-stack
ABI compatibility | APU | Anchor Decoding | Batch scheduling | Build System | C# | C++ | CMake | CMake Build System | Cache optimization | Concurrency | Cross-compilation | DSP | Dynamic linking | ELF | Embedded Linux | Inference Optimization | Knowledge Distillation | Linux | Llama.cpp | MNN | Memory Optimization | Memory safety | Model Compression | Multithreading | NMS | NPU | ONNX | ONNX Runtime | Operator Integration | Operator fusion | Performance Tuning | Pointer | Pruning | Python | Quantization | Static Linking | TensorRT | Thread synchronization | VLLM
Education
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