AI Frameworks Engineer

About This Role

• The Intel NPU organization is dedicated to the development of hardware accelerators for the future of AI, enabling unprecedented machine intelligence on billions of edge, desktop and mobile computers.
• Doing what's never been done before takes vision, innovation, and the world's best talent.
• You'll be immersed in a diverse, encouraging environment where everyone is encouraged to do their best work.
• Join the adventure of harnessing the potential of state-of-art deep neural networks and the most advanced AI hardware accelerator in the world.
• Intel is hiring software engineers for its deep learning compiler team.
• Our customers around the world are using NPUs to power a revolution in deep learning, enabling breakthroughs in problems from image classification, speech recognition to natural language processing.
• As deep learning models are becoming more versatile, using compiler technologies to achieve high performance becomes essential.
• We are looking for individuals who are interested in building the world's leading deep learning compiler for current and future Intel NPUs.
• This is a product development position with the end goal being high-quality, high-performance, secure product software.
• You will start optimizing pre-silicon and have access to hardware shortly after it is powered on.
• You will be responsible for analyzing deep learning networks and developing compiler optimization algorithms.
• Collaborate with members of the deep learning software framework teams and the hardware architecture teams to accelerate the next generation of deep learning software.
• The scope of these efforts includes performance tuning and analysis, developing and implementing compiler and optimization techniques for neural networks, and other general software engineering work.
• You will conduct software development and optimizations in the following areas: Develop MLIR based compiler technology for deep learning workloads on Intel NPUs.
• Develop AI execution middleware based on Intel OpenVINO toolkit.
• Develop large-scale production software with validation and continuous integration in mind.
• Collaborate with frameworks teams to develop compiler optimizations for the deep learning domain.
• Collaborate and coordinate internally and externally with cross geographical teams such as execution runtime software, NPU hardware, infrastructure, and front-end teams on the same project.