On-device ML Performance Engineer, Graphics, Games and Machine Learning
Tasks
- Analyze ML model latency
- Analyze memory usage
- Analyze power consumption
- Convert and import ML models
- Create scripts for performance reporting
- Debug CPU GPU and Apple Neural Engine performance
- Develop performance analysis tools
- Implement ML models in software stack
- Optimize ML inference performance
- Validate numerical correctness
Perks/Benefits
- N/A
Skills/Tech-stack
Apple Neural Engine | C plus plus | CPU performance | Compilers | Computer Architecture | CoreML | Executorch | GPU Computing | LLVM | Linux | MLIR | MLX | MPS Graph | MacOS | Machine Learning | Machine Learning Inference | Memory Management | Metal Performance Shaders | Model Compression | Neural Engine | ONNX | Objective-C | Performance optimization | Power Optimization | PyTorch | Python | Quantization | Shell Scripting | Sparsity | Swift | TFLite | TVM | Xcode
Education
Regions
Countries
States
Cities
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