Intel Is Hiring Deep Learning Software Engineer

Intel Off Campus Drive 2021

Intel is hiring for the position of a deep learning software engineer. For more such off campus drives, internships and free courses with certifications be updated on our website.Preview can be enabled after save or publish the content.


Qualifications Bachelors with or Masters or PhD in Electrical Engineering or Computer Science or Computer Engineering or Physics or Mathematics or a related relevant Engineering discipline Experience working in Machine Learning or AI in one of the following roles Developing deploying models or implementing or performance bench marking AI workloads Prior experience in deployment strategies performance optimization multi node multi GPU scaling big plus Experience in one or more of the following areas Python Tensor Flow Caffe Pytorch MXNet Experience in deployingoptimizing distributed training on CPUGPU clusters is a big plus Ability to work in a dynamic environment and ability to think on your feet is required

Job Description

If you are looking to make a huge impact for Intel across Discrete GPUs for AI, software products including oneAPI and win worldwide AI software ecosystem on our Data Center targeted Discrete GPUs, then read ahead .This is an exciting engineering role in AI within Data Center Ecosystem Engineering team in IAGS. The role spans working with customers across multiple internal , external stakeholders and customers As Deep Learning software engineer, you will be involved from Pre-Silicon enabling activities to actually undertaking performance tuning and optimization of deep learning models based on TensorFlow and Pytorch for successful deployment by our customers.

Additionally, you will be expected to part of the team which influences Intel Discrete GPU hardware capabilities for AI as well as AI software stack for oneAPI. This is a deep engineering role working with customers and driving their success, while making Intel a world leader in AI by influencing our discrete GPU and software products. We are in startup-up environment, you should love ambiguity, be able to juggle multiple-tasks and able to make forward, demonstrable progress that delivers impact. You will have an opportunity to collaborate with Engineering Leaders across Intel.

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Location: Any location, IN

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