Intel

AI Frameworks Engineer

rpa+ai+ml

Job Description

  • Conducts design and development to build and optimize AI software

  • Designs, develops, tests and optimizes for AI frameworks (e
  • g, OpenVINO, TensorFlow, PyTorch, etc)
  • Develops machine learning and/or deep learning primitives in mathematical libraries
  • Profiles distributed deep learning models to identify performance bottlenecks and proposes solutions across individual component teams
  • Optimizes code for various computing hardware backends, and interacts with machine learning and/or deep learning researchers, and utilizing experience with machine learning and/or deep learning frameworks
  • Ports AI frameworks to different backends, programming models and HW architectures
  • Tests AI frameworks with functional and unit tests



Key Skills


Computer science; deep learning; C++; Debugging; Machine learning; Programming; Hardware; Performance analysis; Internship; Python

About Company


You know us best for our processors, but we do so much more. We are makers, catalysts and inventors. We innovate at the boundaries of technology to make amazing experiences possible for business, society, and every person on Earth. With more than 100,000 employees in 63 countries and customers in over 120, Intels products and services create the foundation for limitless invention. Our innovations are bringing sight, touch, depth-perception and the ability to communicate to devices, objects and spaces to make them smart and connected. We harness the capability of the cloud and the Internet of Things to disrupt industries while solving global challenges. We lead on important matters of policy, diversity, inclusion, education and sustainability.Intel has transformed to a company which now also powers the majority of the worlds data centers, connecting hundreds of millions of mobile and Internet of Things devices, and helping to secure and protect enterprise and government IT systems. Our manufacturing advantage, fueled by our pursuit of Moores Law, lets us continuously push the limits of performance and create experiences which can be made possible

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