GPU PyTorch Developer

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Mandatory Skills

Proficiency with PyTorch, С/C++ and PythonKnowledge of GPU computing (HIP or CUDA or OpenCL)Experience in CMake, make/ninja build system, dockerSoftware Version Control (Git)Knowledge in ML/NNGDB 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

Key Skills

• Machine Learning