On-device ML Performance Engineer, Graphics, Games and Machine Learning
Tasks
- Analyze ML inference latency
- Create utilities and scripts for metric reporting
- Debug ML inference across CPU GPU Apple Neural Engine
- Develop performance and power analysis tools
- Evaluate memory power numerical correctness
- Optimize ML model performance
- Optimize quantization and sparsity tradeoffs
Perks/Benefits
- N/A
Skills/Tech-stack
Apple Neural Engine | C++ | CPU | Compilers | Computer Architecture | CoreML | Executorch | GPU | JAX | LLVM | Linux | MLIR | MLX | MPS Graph | MacOS | Machine Learning | Memory Optimization | Metal Performance Shaders | Model Inference | Neural Engine | Numerical correctness | ONNX | Objective-C | Performance Tuning | Power Optimization | PyTorch | Python | Quantization | Shell Scripting | Sparsity | Swift | System Memory | TFLite | TVM | TensorFlow | Tuning | Xcode
Education
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