Machine Learning Framework, Compiler & Performance Engineer
Tasks
- Analyze ML AI algorithms and workloads
- Build performance driven simulation components
- Compile ML AI workloads for high performance and low power
- Develop and evolve ML/AI compilers
- Evaluate performance area power trade offs
- Integrate PyTorch with ML AI compiler flows
- Predict pre silicon performance for ML algorithms
- Run debug and analyze performance simulations
- Suggest hardware and software enhancements
Perks/Benefits
- N/A
Skills/Tech-stack
Algorithms | Artificial Intelligence | C++ | Clang | Compiler design | Computer Architecture | Data Structures | Digital Circuits | Docker | Git | Jenkins | MSVC | Machine Learning | ONNX | Object-Oriented | Object-oriented design | Performance Analysis | PyTorch | Python | Software debugging
Education
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