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Mandatory Skills Description:
• Proficiency with PyTorch, С/C++ and Python• Knowledge of GPU computing (HIP or CUDA or OpenCL)• Experience in CMake, make/ninja build system, docker• Software Version Control (Git)• Knowledge in ML/NN• GDB debugging
Project Description:
Development of modern tools for working with AI / ML on the GPU. Implementation of algorithms for working with graphic processors. Working with GPU neural network calculations. Work with the AI/ML development team and the open-source community to analyze, develop, test, and deploy performance improvements for neural networks on GPUs with AMD ROCm, working on enabling ROCm HIPSOLVER/cuSOLVER in PyTorch
Responsibilities
Develop, support and optimize PyTorch project for GPU. Communication with developers, customers, and project managers. Create, document, and execute unit/component/functional tests.
This might involve one or more of the following:• Modifying PyTorch UT code to adapt it for ROCm• Filing JIRAs on ROCm components that have missing features needed for the UTs