AI Kernel Optimization Engineer
4 weeks ago
Roles and responsibilities :
- Develop and maintain highly efficient low-level parallel compute kernels for NN operators to support generative AI model architectures (LLM, CV, etc.)
- Integrate optimized kernels into machine learning frameworks for training and inference workloads
- Optimization of NN (Neural networks) work-loads in standard ML frameworks like PyTorch
- Conduct performance profiling, identify hotspots and resolve performance issues
- Develop and validate test cases for stability and performance measurement of kernels
- Good experience in parallel compute programming languages like CUDA, OpenCL, etc.
- Experience or knowledge about BLAS operators and GEMM optimization.
- Knowledge of Computer and GPU architecture.
- Proven experience in kernel development and optimizations
- Familiar with standard ML frameworks (PyTorch, TF, ONNX)
- Knowledge on SOTA LLM models and model architectures will be huge plus
- Knowledge with deep neural network machine learning technologies and modern machine learning Programming frameworks:
- Experience with performance profiling and optimization tools
- Proficient in C/C++ and Python
- Familiarity with ARM SW ecosystem and toolchains will be a plus
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