Staff ML Performance Engineer (Inference Optimisation)
Tasks
- Build benchmarking and regression testing
- Collaborate on model architecture decisions
- Contribute to performance roadmaps and tooling
- Implement inference optimizations
- Optimize ML inference for edge devices
- Profile inference bottlenecks
- Support multiple hardware targets
- Validate compiler runtime kernel improvements
Perks/Benefits
Skills/Tech-stack
Benchmarking | C++ | CUDA | Debugging | OpenCL | Operator fusion | Profiling | Python | Qualcomm QNN | Quantization aware training | Regression testing | TensorRT | Triton
Education
N/A
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