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Intel Corporation

AI Frameworks Engineer

Hybrid • Folsom, United States • Middle • $133–241k / год
Зарплата
$133–241k / год
Опубликовано
29 мин назад
Описание

Job Details:

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Job Description:

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Do Something Wonderful!

Intel put the Silicon in Silicon Valley. No one else is this obsessed with engineering a brighter future. Every day, we create world changing technology that enriches the lives of every person on earth. So, if you have a big idea, let’s do something wonderful together. Join us, because at Intel, we are building a better tomorrow. Want to learn more? Visit our [YouTube Channel](https://www.youtube.com/c/Intel/videos) or the links below!

[Life at Intel](https://jobs.intel.com/en/life-at-intel)

The Role and Impact

As an AI Frameworks Engineer, you will play a pivotal role in designing and developing cutting-edge AI software to optimize AI frameworks. On a practical day-to-day level, you will contribute to the development and optimization of advanced AI frameworks, implement distributed algorithms, and collaborate with researchers to deliver high-performance solutions. Your work will directly enhance Intel's AI capabilities and drive innovation in machine learning and deep learning technologies.

Business Group

At Intel Corporation, our teams are dedicated to pushing the boundaries of technology to create world-changing innovations. This role sits within a group focused on advancing AI solutions, with work spanning the development of optimized frameworks and libraries to accelerate artificial intelligence applications. Together, we enable breakthroughs in AI performance, supporting Intel's mission to shape the future of computing and empower our customers globally.

Key Responsibilities:

  • Design, develop, and optimize AI frameworks such as OpenVINO, TensorFlow, and PyTorch.
  • Implement and enhance distributed algorithms, including model/data parallel frameworks, parameter servers, and asynchronous data communication.
  • Transform computational graph representations of neural network models to achieve performance improvements.
  • Develop high-performance machine learning and deep learning primitives within mathematical libraries.
  • Profile distributed deep learning models to identify bo...

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