Edge AI Model Optimization Software Engineer
Tasks
- Apply batch normalization folding
- Apply bias correction
- Apply numerical approximation algorithms
- Apply range estimation
- Build mixed precision workflows
- Create proof of concept quantization techniques
- Design post training quantization workflows
- Design quantization aware training workflows
- Develop optimization tools
- Document deployment recipes
- Ensure bit exactness on target hardware
- Evaluate quantization impact
- Guide model accuracy and performance tradeoffs
- Implement neural network quantization
- Integrate quantization into deployment pipelines
- Mentor engineering teams on deployment strategies
- Optimize hot paths in toolchain
- Profile optimization toolchain performance
Perks/Benefits
- N/A
Skills/Tech-stack
Accuracy Optimization | Batch Normalization | Batch Normalization Folding | Bias correction | Bit Exactness | C# | C++ | Compiler optimization | Convolutional Neural Networks | Deep learning | Device Profiling | Embedded Systems | Generative AI | Hardware acceleration | MLIR | Machine Learning | Memory Management | Mixed Precision | Model Accuracy | Model Accuracy Optimization | Neural Networks | Numerical Approximation | ONNX | Performance Profiling | Post-training | Post-training Quantization | PyTorch | Python | Quantization | Quantization aware training | Range estimation | TVM | Transformers
Education
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