Job Description
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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
Mandatory Skills Description:
Proficiency with PyTorch, C/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
The successful candidate should possess the following traits:
● Proficiency in problem-solving and troubleshooting technical issues
● Time management, prioritization and multi-tasking skills
● Ability to handle multiple competing priorities in a fast-paced environment
● Personal initiative, commitment, perseverance and resilience
● Well-developed communication and teamwork skills
● Aspiration to engineering excellence
Nice-to-Have Skills Description:
Knowledge of ROCm, HIP, Jenkins, PyTorch Internals,