Staff Embedded Machine Learning Engineer
Tasks
- Analyze and improve runtime behavior using profiling tools and hardware counters
- Collaborate with compiler hardware and model teams to co design efficient execution paths
- Design and implement ML runtime framework components for inference on embedded systems
- Develop and maintain C plus plus code for runtime kernels and system integration
- Develop tools for performance profiling and quantized model accuracy debugging
- Support deployment of models from ML frameworks to Qualcomm inference stack
Perks/Benefits
- N/A
Skills/Tech-stack
AI accelerator | Android | C plus plus | Computer Architecture | DSP | Debugging | Deep learning | Inference Runtime | Linux | Machine Learning | Memory hierarchy | Model Quantization | ONNX | Performance Profiling | PyTorch | QNX | TensorFlow
Education
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