
Deep Learning Software Engineer
This is a leadership engineering role in AI within Ecosystem Engineering team in IAGS. The role spans working with customers across multiple internal and external stakeholders and customers As Deep Learning software engineer, you will be involved from early 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 influence Intel Discrete GPU hardware capabilities for AI as well as AI software stack for oneAPI. This is a high impact role working with customers and driving their success, while making Intel a world leader in AI by influencing our discrete GPU and software products.
8 + years of related experience
Prior experience in deployment strategies , performance optimization, multi node, multi GPU scaling big plus
Knowledge of Intel MKL libraries like MKL-DNN highly desired
Experience or training in one or more of the parallel programming methodologies
Python
C++
Presentation skills
OpenCL
Performance optimization
Caffe
Pytorch
Time Management Skills
Tensor Flow
Cloud deployment strategies
Verbal communication
written communication
Self-Driven
Adaptability
Problem-Solving
Detail Oriented and Organized
Multi tasker
According to JobzMall, the average salary range for a Deep Learning Software Engineer in 1300 S MoPac Expy, Austin, TX 78746, USA is $113,000 - $145,000 per year. The salary range can vary depending on experience, location, and other factors.
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Intel Corp. engages in the design, manufacture, and sale of computer products and technologies. It delivers computer, networking, and communications platforms. It operates its business through the following segments: Client Computing Group, Data Center Group, Internet of Things Group, Non-Volatile Memory Solutions Group, Intel Security Group, and Programmable Solutions.

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