Job Description
In this position you will be a part of Intel OpenVINO team and will be helping with strategic evolution of the Intel OpenVINO framework - one of the leading Deep Learning inference frameworks in the industry.
You will be involved into exploration, analysis, prototyping and implementation of new functionality in CPU/GPU/GNA Plugins to deliver the fastest Deep Learning inference on Intel HW.
Your responsibilities will include:
- Analysis and prototyping of new functionality
- Efficiency analysis of existing algorithms and finding areas for performance improvement
- Identifying and optimization of architecture including area of execution graphs and pipelines
- Mentoring of team members helping with their technical growth
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Qualifications
Qualifications:
- Strong knowledge of Computer Science
- At least 5 years of experience in programming
- Strong C/C++, Python programming skills
- Understanding of multithreading and multithreaded application design
- Knowledge of modern processor architecture
- Understanding of modern compiler architecture and code compilation process
- Experience in low level optimization, vectorization
- Strong communication/partnering/influencing skills
- Spoken and written English: upper-intermediate level or advanced
- General knowledge of Image Processing / Computer Vision, Machine Learning / Neural Networks
The following will be an additional advantage:
- Deep knowledge of Image Processing / Computer Vision, Machine Learning / Neural Networks
- Experience with one of Deep Learning training frameworks: TensorFlow, PyTorch
Inside this Business Group
Intel Architecture, Graphics, and Software (IAGS) brings Intel's technical strategy to life. We have embraced the new reality of competing at a product and solution level-not just a transistor one. We take pride in reshaping the status quo and thinking exponentially to achieve what's never been done before. We've also built a culture of continuous learning and persistent leadership that provides opportunities to practice until perfection and filter ambitious ideas into execution.
RU Experienced Hire JR0137903 Nizhni