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The job role involves design and developing features in AI frameworks software stack.
You will be participated in enabling and optimizing state of the art deep learning models with a specific focus on the PyTorch framework.
In this role, you will work with a cross-geo team for delivering optimized software stack for Intel Gaudi(https://habana.ai/)Deep Learning accelerators.The roles and responsibilities that you would need to performance may include the following:
�Design and develop SW techniques for AI frameworks - both HW-agnostic and HW-aware.
�Contribute to enhancing and extending the Training and Inference capabilities in the Software stack.
�Profile deep learning inference and training workloads and identify optimization opportunities in the software stack.
�BTech, MS or PhD in CS or related fields with an overall experience of 5 to 12 years.
�Must have: Proficient in Advanced C++ (C++ 14/17) and Intermediate skills of Python and parallel programming.
�Exposure to Machine Learning (ML) frameworks such as PyTorch and Tensorflow.
�Working knowledge of operators in Pytorch or Tensorflow and Understanding of low-level math kernels.
�Ability to debug complex issues in multi layered SW systems. Understanding of SW integration in large open-source framework and internal bridge layers.
�Understanding of computer architecture and HW-SW optimization techniques
�Practical knowledge of DL topologies for Vision / NLP / LLM will be a plus
�Experience working on frameworks/platforms that have gone to production.
�Knowledge of compiler algorithms for heterogeneous systems
�Effective communication skills and experience with working in a cross-geo setup.
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